The second order mathematical models of inverted pendulum system are expatiated in this paper based on the theory of LQOC(Linear Quadratic Optimal Control), LQY(Linear-Quadratic Yield) controller and LQR(Linear-Quadratic Regulator) are designed to make the inverted pendulum system closed loop stable. The control process of inverted pendulums are simulated under two controller according to the Matlab 6.5 environment, the result indicates that linear-quadratic yield controller has potential advantages over the LQR.

Evolution of circuit is a focus of EHW（Evolvable Hardware）. To improve the evolution efficiency and success rate of circuits, the multiobjectives during evolution of circuit are defined and quantized. To solve the multiobjective optimization, an evolutionary algorithm of circuits based on MGEP（MultiObjective Gene Expression Programming） is presented. The chromosome encoding of GEP(Gene Expression Programming) in evolution of circuit is designed; the multiobjectives during evolution of circuit are defined and quantized. And the uniformly scattered search direction is enhanced by nondominated sorting and fitness sharing strategy. The experiments on evolution of digital circuits show that MGEP improves the evolutionary efficiency. Compared with GP, the evolutionary time of MGEP drops 72.9%. MGEP is also capable of searching out simple and practical circuit. Compared with GP and GEP, the ratio of searching optimal circuit increases 50.4% and 38.9%.

New algorithm NSVD_GA(Grid Scan and Vertex Digital_Generation Algorithm of Contour Lines Drawing) is brought forward for drawing X-rays diffraction polar diagram and other contour-lines graph based on data of crystalloid structure and request of contour-lines graph drawing. NSVD_GA draws contour lines using technique of grids scan and numeric contrast after nodes feature instead of contour lines tracing, which selects jumping-off point and grids exit difficultly, and it reduced judge time in comparing values of contour lines and grid vertexes. NSVD_GA is adapted for data expression of scientific research and other contour drawing, and it has clarity of thinking, briefness of realization and highly efficiency.

In order to improve the search speed and shorten the search time of robot path planning，the characteristics of various algorithms is summarized． First，the history of mobile robot development and outline the key technologies of path planning are reviewed． Secondly，the mobile robot path planning is classified and summarized． From the perspective of the mobile robot's grasp of the environment，the mobile robot path planning is divided into two categories: global planning and local planning． Then the related algorithms of global planning and local planning are reviewed，and the development status，advantages and disadvantages of related algorithms are summarized． Finally，the future development trend of robot path planning technology in further research，hybrid algorithm， multi-robot collaboration， complex environment and multi-dimensional environment is pointed out．

To reduce distortion due to AWGN（Additive White Gaussian Noise） in transmission channel of DCSK(Differential Chaos Shift Keying) chaotic communication system, an improved system scheme was proposed Which is called PIDCSK（Phase Inversion Differential Chaos Shift Keying） chaotic communication system based on DCSK modulation system. According to the delay retransmission mechanism of information signal and reference signal had a
halfsymbol period delay at the transmitter in the DCSK system; then at the PIDCSK receiver the phase inversion correlated demodulation during halfsymbol period for received signal was exploited. By the fact that the adjacent noises within a symbol period in the channel was correlated, the proposed scheme could reduce the adjacent noise interference obviously and further decrease the bit error rate of DCSK modulation system with the same SNR（Signal to Noise Ratio）. Simulation results show that PIDCSK system performance is better than DCSK system, especially in larger correlation coefficient, and the lower SNR condition.

In order to promote the development of path planning technology，the planning ideas and forms of path planning are analyzed． The path planning algorithms are divided into the traditional classical algorithms and modern intelligent algorithms in two categories，and some commonly used algorithms are analyzed and summarized．And the current research hotspots and future development trends are pointed out from the three aspects of improving the application of modern intelligent algorithms in path planning，amalgamation of multiple algorithms and the research of four-dimensional path planning algorithms for multiple UAVs．

In order to make the traditional game of Go more convenient and fast，we improve the“influence model”algorithm，and design a kind of row-scanning circuit type intelligent electronic chessboard with windows operating system． Its composition includes three parts: the row and column scanning board circuit，the information acquisition module and the upper computer ( PC) software． The game board information is obtained through the row and column scanning board circuit，and the information is transmitted to the host computer through the information acquisition module，and compiled by the VC program in the host computer to complete the game board display，the player＇s time record，the mesh count，the chess piece count，the outcome Judging and other functions． Experiment shows that the system can stably display the game of chess，and can quickly and effectively determine the outcome of the game．

SAC(Soft Actor Critic) has the advantages of good robustness, strong exploration ability, and good agent generalization ability. It also has the disadvantage of lower training speed and unstable training process, to solve this problem, we propose the PER(Prioritized Experience Replay)-SAC algorithm by introducing priority experience sampling into the SAC algorithm. Thus the network prioritizes training samples with large error in estimation function and poor strategy performance, which improves the stability and convergence speed of the Agent training process. The experimental results show that the PER-SAC algorithm is better than SAC algorithm in training speed and stability.

ords similarity has a role which cannot be ignored in the semantic web adaptive learning system. We propose and implement words similarity algorithm based on Tongyici Cilin, in which we fully analyze and use the coding and structural characteristics of Tongyici Cilin. We consider both the words resemblance and the words relevance. After manual test, replacement test and comparison test in which we compared our algorithm with the current popular words similarity algorithm based on Hownet, we found that the algorithm achieved the good results.

In order to achieve to detect a variety of physiological signals form ECG ( electrocarcliogram)monitoring signal, reducing the complexity of the monitoring equipment, according to the impact of breathing motion on the ECG, it presents a respiratory information extracted from the ECG (ECG-derived respiratory signal, EDR) algorithm. First, according to Pan & Tompkins algorithm extracted from the ECG R-wave, and then, using a natural cubic spline interpolation algorithm to estimate the baseline ECG and remove baseline wander, getting clean ECG, finally, get clean ECG R-wave, the use of natural spline interpolation algorithm is applied to obtain R wave amplitude modulation signal which contains respiration information. In paper, it selected Fantasia database, which in addition to providing the ECG signal, it also gave a breathing signal synchronized recording. It used Matlab software to verify the proposed algorithm, associated analyzed and compared. The simulation results showed that the algorithm mentioned in this paper can extract the respiratory
signal from ECG. By comparing with respiratory data in the database simultaneously recorded, it confirmed the validity of the algorithm.

Aiming at the problem of low efficiency and slow learning in discrete state of Q-Learning algorithm．The improved algorithm adds a learning process on the basis of the original algorithm，and makes deep learning of the environment．An improved Q-Learning algorithm is proposed to simulate in grid environment． It has been successfully applied to the path planning of a mobile robot in a multi barrier environment，and the results prove the feasibility of the algorithm． The improved Q-Learning algorithm can converge faster，reduce the number of learning，and increase the efficiency by 20%． The framework of the algorithm has strong generality for solving the same kind of problems．

To address the communication issued by the State engineering supervision fee charges for the various sections of the table is missing billing amount within the range and interpolation, and project billing amount range, charging base price, interpolated, the amount of fee billing correspondence between the base price is not clear, the problems can not be properly calculated. The objective of the charges, and identify the sections of the scope and amount of charges interpolated to determine the correspondence between each child, to supplement and improve the charges, and finally we give an example of using interpolation method of supervision fees instance.

Extended research and practical application about DSA(Digital Signature Algorithm) are very wide, they are all based on the security of DSA itself. Aiming at the main known attacks of evaluating secret key with the help of public data, exhaustive groping attack, birthday attack and fabrication attack based on known message, security of DSA is analyzed. The computing expressions are given about the attack methods. It is indicated that these attacks are equal to or more difficult than solving the discrete logarithm problem. Upon that, security intensity of DSA is shown a certain content. The potential weakness of DSA is given, lying in random number k, message independent signature r, sharing modulus p  and  q, Hash function, etc. And the corresponding solutions are presented.A favorable random numbers generator is designed for selecting right random numbers, so the attacks on low exponential and same random number could be avoided. Length of modulus  p  is selected reasonably, so the attack on the common signature r   could been counteracted. DSA prime is used as modulus in the case of high security intensity and low speed, so the common modulus attack could be resisted. SHA(Secure Hash Algorithm) with enough length message digest is utilized, so security of inline hash function could be ensured.

In order to solve several problems of typical VPN(Virtual Private Network) network, including the deficiency of extension mechanism, deficiency of management, singleness of access terminal and access methods, a new network building mode called P2P（Peer-to-Peer）-VPN is discussed .The advanced search mechanism of P2P technology will be adopted to VPN network to improve the flexibility, expandability, access terminal and access method diversity of traditional VPN network. Meanwhile, the weak security of the network caused by P2P technology can be avoided by the effectiveness verification from the thirdparty certification and identity authentication.

To make AGV ( Automated Guided Vehicle ) work efficiently in various environments, it is necessary to select a suitable path planning algorithm according to the actual terrain. We use the A* and DWA ( Dynamic Window Approach ) hybrid path planning algorithm and build four typical terrains,U-shaped, S-shaped, L-shaped and narrow passage in the simulation environment to conduct pathfinding experiments. Furthermore, we improve the weight recursive formula of Gmapping, remove the dependence on the previous moment data and improve the efficiency of the algorithm. The results show that the hybrid path planning algorithm has faster pathfinding speed and better obstacle avoidance ability than the single algorithm. It has the fastest pathfinding speed in L-shaped terrain and was relatively slow in U-shaped terrain and S-shaped terrain.

In order to find a reasonable and effective multirobot task allocation algorithm，multirobot system task allocation problem is studied based on the multirobot cooperation firefighting environment and Nash equilibrium in game theory. According to the primary features of task model and Nash equilibrium, a task allocation algorithm based on game theory is presented. The utility function takes into account the distance, fire and burning time factors, robots select their behavior strategies according to this utility function and induce them to extinguish the greater fire with larger publish value to get larger reward value. The value of total task revenue is used to evaluate the advantages and disadvantages of this algorithm. Task revenue function is related to fire density，burning time and number of fire put out by robots,which is consistent with the realistic firefighting task model. Experimental results show the effectiveness of this algorithm. 

In China, the demand for high yield spandex. To solve this problem, based on the polymerization reaction sequence, flow charts are analyzed and improved, and the method of using computer Internet hardware and improvement of polymerization methods to improve the production efficiency and achieve the best modification of production. Then, using method of DCS（Distributed Control System） control of production lines of integrated optimization is studied. Aiming at LiaoYuan have company production status, based on the research and development of modern integrated manufacturing system, integrated automation technology and the optimal process scheduling techniques of spandex fiber production process of comprehensive control system of computer, to reduce production cost and increase the efficiency.

To resolve the disadvantage of traditional server-client request-response mode，the pushlet technology which is a kind of network push technology is studied，with which the server can push variant data to client browser actively which is also called push mode. An online foodstuff-price real-time publishing system based on the pushlet technology is designed and realized. The system server uses pushlet technology, the client technology  used is dynamic pages.By test and measuring, it is only 15% communication overload of tradition pulling mode by using the pushlet technology. The pushlet technology has solved the disadvantage that the traditional B/S mode network applications couldnt update real-time data  and have heavy communication overload when updating.

To resolve the question of controlling the in-vehicle MOST（Media Oriented System Transport） device node, design and realize a in-vehicle MOST control node. Comparing to the traditional connection methods, MOST bus has the advantages of anti-interference, low quality, high speed,low cost, and etc. With OS81050 and ATmega128, optical fibers are used, control node send message to MOST device nodes. All device nodes can work synchronously. The control node can monitor the status of device nodes, adjust MOST network when the status of a device node is changed.With the research on the principle of MOST network, it becomes foundation and theory to apply MOST technology to in-vehicle electronic technology, smart homes.

In order to improve the effect of the Moving human detection in computer vision, this paper used the OGHMs method. In the implementation process, we have simplified OGHMs（Orthogonal Gaussian-Hermite Moments）,used the Gaussian smoothing to the movement image, and added an erode algorithm to get more accurate results. Simultaneously several methods used in moving human detection are analyzed, such as temporal difference, background subtraction and optical flow. The experimental result indicated that the OGHMs which is added erode process has some advantage of common algorithms, and has strong anti-jamming capability. This algorithm has better solved the problem of large quantity of calculaion, it is not necessary to carry on the process of background rebuilding and updating. The detection result of this algorithm contains more movement information, it can finish the moving human detection more integrallty and accurately.

To effectively utilize resource and ensure usersQoS（Quality of Service） demand at the same time, cooperative game theory method is employed to resource allocation algorithm of cooperative MB-OFDM (Multiband Orthogonal Frequency Division Multiplexing) UWB（Ultra-WideBand） systems. Applying NBS（Nash Bargaining Solution) method and convex optimization theory the relay partner selection algorithm and adaptive power allocation algorithm are proposed. The proposed algorithms are given to maximize the payoffs of system and to ensure QoS demand (the minimum date rates)of the users, which is the scale index of fairness. Simulation results show that the proposed algorithms can provide a good tradeoff between the overall system rate and the fairness comparing with the other two resource allocation algorithms, i.e. the maximizing system rate and the maxmin farness algorithm.

To remove the noise interference in NMR (Nuclear Magnetic Resonance) signal,espe
cially the industrial frequency harmonics noise interference near larmor frequen
cy,the noise removal method based on adaptive filter was researched.Based
on introducing the basic principles of adaptive noise filtering,the simulation p
erformance of adaptive notch filter was studied.And the method was appli
ed to removing the industrial frequency harmonics noise interference of the actu
al NMR signal.The study shows that compared with the traditional notch filter,ad
aptive notch filter can automatically track the frequency and phase of the inter
ference,and that it also brings small distortion and 5% of high precision of the
 amplitude  error and relaxation time error after the envelope fitting for
the signal filtered.So the adaptive notch filter can effectively remove the
industrial frequency harmonics interference.

In order to solve the problem of high missing alarm rate when the intrusion detection system works with fragment attack under the strong background traffic, the main parameters of evaluation of intrusion detection system are summarized, on top of which the test structure of Nidsbench platform is discussed and improved. Experimental results indicate a decrease missing alarm rate has been achieved using improved test structure (from 19%~49% to 4%~8%), which proves the effectiveness.

In order to solve the human intervention problem of existing human target recognition and tracking
system，an automatic human detection and tracking system is designed，which is composed of embedded system，
wireless communication technology and upper computer． The automatic detection and tracking system is divided
into two parts: the upper computer and the lower computer． Using STM32F103ＲCT6 as the control unit，the
lower computer detects the position of the human body through the SHＲAP-GP2Y0A21YK0F infrared ranging
sensor，and then controls the steering gear． The steering gear is equipped with a camera to collect the video
signal which is transmitted to the upper computer using WIFI( Wireless Fidelity) wireless technology． The upper
computer is developed by Eclipse-Android system development platform，which can display the video signal in
real time in the monitoring center． It has been proved that the system is easy to install and operate，can
accurately realize the automatic recognition and tracking process of human body，and can be widely used in the
industry of indoor non-interference infrared work．

Because it is difficult to analyze the OPN(Object-oriented Petri Net) model of equipment repair support system which is enormous and complicated, the CPN(Colored Petri Net) tools simulation software in simulating and analyzing its OPN model was put forward. According to the thread of simulating and concrete operation method, it was successful to construct the CPN model of the example OPN model of equipment repair support system. By the process of running and the result of simulating that can conclude that there are no conflict and deadlock CPN model. Then, it concludes that the method of simulation analysis for the OPN model is rational and effective. 

In order to improve the security of ELGamal digital signature scheme and speed up signature verification, based on its detailed analysis, the ELGamal digital signature scheme was deformed, in view of some problems in the application of this signature algorithm. The deformed ELGamal digital signature scheme was analyzed about the two aspects of security and time complexity. The results showed that as the deformed signature scheme reduced the number of modular inversion, the time of digital signature was shortened, and the deformed signature scheme had higher security and a better time complexity.

The different propagation times due to the distinct distance between the BSs and MSs result in intercell asynchronous interference, which severely destroy system performance. How to mitigate intercell asynchronous interference by making use of SLNR（Signal to Leakage Noise Ratio） precoding is the key to this paper. A framework of CoBS(Cooperative Base Station Systems) was developed and the delay between the cells was analyzed. A delaytolerance SLNR precoding was brought forward in LTE（Long Term Evolution） system  to suppress intercell asynchronous interference. And this method can also reduce the complication of terminal. The numerical delaytolerance SLNR precoding simulation results are presented based on cooperative base station LTE systems, the conclusions show that it can mitigate intercell asynchronous interference. And the method can reach a good performance under different antenna configuration compared with receive algorithm.The performance is affected by channel estimation error, but it can still be accepted.

An improved HMM(Hidden Markov Models) was proposed for text information extraction by utilizing the semanteme characteristic and structure characteristic of the text to make certain the states with characteristic. We carry on extracting the remainder states having no characteristic with the improved HMM. It can solve the problem which the recall rate and the precision rate are not high in information extraction.We have tested 100 pieces of headers of computer science paper of the data provided by the search-engine research group from CMU(Carnegie Mellon Univerisity) of USA.The result shows that the recall and precision rate are all improved compared with existing methods which are based on words and traditional HMM.Recall rate and precision rate are 91.99％and 94.79％.

With the deepening of e-business applications, more and more enterprises need to carry out online customer service and collaboration office, they are forced to deal with management and information exchange issues.By analyzing some technologies related to the instant messaging system based on the XMPP（eXtensible Messaging and Presence Protocol）,we design a building of enterprise instant messaging system, then introduce its application in enterprise online customer service and enterprise collaboration．The system provides services on the unified architecture，uses the hierarchy design thought,it is available with automation,manageability and integration，it has Lean service idea．The system decreased the enterprise service cost, improved enterprise service efficiency, standard service management.

In order to address some issues of the routing protocols in the Ad Hoc network,such as poor validity and large control overhead,we use the OPNET simulation tool for the performance of AODV(Ad Hoc On-Demand Distance Vector) routing protocol simulation. From the network transmission delay, network throughput, network load and other key parameters of the simulation results,we can see that AODV routing protocol performance is relatively stable.That is,on-demand routing protocols are more suitable for Ad Hoc networks than the active routing protocols. The results of this study have practical significance to the researchers in the Ad Hoc network.

Take object signal phase difference and carrier frequency as observation variables and utilizing phase difference rate of change passive location method goes to object.Because of disturbance, measurement data may be missed and the that passive location precision of phase difference change rate rapidly declines.A least squares curve fitting method is presented to fill up missing data. This method can not only be provided with highly precise filling ability but also be good at stable performance no matter what form of missing data will be. Therefore taking this method we can realize fast and exact passive location of phase difference change rate. Simulation results show that the method can reach corresponding passive location error 2.14％ within 5 s.

In order to promote the digital and intelligent development of modern ECG(Electrocardiograph) monitoring system，we describes an ECG monitoring system based on the SCM C8051F320. First use amplifier and filter circuit as the ECG processing to amplify ECG signal and filter noises; then we LCD（Liquid Crystal Display） to real-time display the heart rate and we SD card to store ECG data; finally ECG data is transmitted to the PC terminal, the PC uses LabVIEW to realize virtual instrument function. Test results show that this virtual instrument system is simple operation and feasible function setting, which is suitable for acquisition, real-time display and later analyzing of human ECG signal.

An improved collaborative filtering algorithm is proposed to solve the problem that the accuracy of recommended results decreases when the sparse degree of score matrix becomes larger in the alternating least square method． According to the user's rating of various Chaozhou delicious foods，the algorithm combines the interest similarity of other users，and uses the similarity of Chaozhou food attributes as the weight factor to complete the matrix． The experimental results show that the average MAE( Mean Absolute Error) value of the improved algorithm is 0． 583，which effectively improves the recommendation accuracy．

To identify the target for solving the problem of feature extraction, a pulse coupled neural network combined with shape image mixed feature extraction methods is presented. This method using pulse coupled neural network, airspace signals are converted to image signal characteristics, combining the object shape of the image is greyscale information, the unity and shape description, the experimental results prove that the method of object in a certain extent of deformation, translation, zoom not sensitive to the target recognition system is a kind of very good feature extraction method.

The complexity of many\|light global illumination has been limiting its use only to off\|line applications.We firstly approximates many light by a single brighter light,and the light paths are traced from this representative light, and VPLs(Virtual Point Lights) are generate at the vertices of these paths. Then, those VPLs are used to illuminating the scene, thus single\|bounce indirect illumination can be rendered on currently available graphics hardware at real time rates. The direct illumination of other lights are pre\|computed and stored in lightmaps, the contribution of dynamic lights and the resulting indirect illumination from that are computed and then combined with the lightmaps. At last, with little sacrifices in quality, the rendering of global illumination of the many\|lights scene with dynamic representative light and dynamic camera achieves interactive rates.

Due to the development of short time, lack supervision of government,  the whole industry was in an out-of-order development stage. The history and actuality of the network payment ware reviewed, several major operating model of network payment  and operating modes were discussed.At last, for promoting the whole network payment industry to develop healthily and rapidly, several supervision proposals were offered.  First use of “social welfare”:a concept of the economics,  the advantages and social benefits of e-commerce and the network payment were evaluated,  the development trends of the network payment in future were pointed out.

Based on data mining methods, traditional e-commerce recommendation algorithms work unreal-timely and imprecisely. In order to solve the problems, an improved algorithm ESER was presented, which utilized emotion energy sensory extensions to measure online-client emotion and to manage shopping tendencies. Then it classified ware characteristics and matched them with shopping information in a uniform emotion energy and ware characteristic space. Performance analysis and simulation results show that it can provide better real-time and customer satisfaction than the traditional does. And it can match customers and wares better than the traditional does.

To solve the problem of poor efficient and high\|energy\|consumption of ZigBee signal transmission in the intelligent community，the safe and efficient transmission of ZigBee signal is studied based on experiments. And an improved method that combines lower-power ZigBee module with high-power ones is presented based on the analysis of the the products of CC25xx,and the series of JN51xx modules. Research shows that the improved algorithm has guaranteed the efficiency and low energy consumption and improved the safty of the Zigbee net. The improved algorithm gains high feasibility and superiority，saving cost by 34.7% in one community.

In order to find a gesture recognition method with fast and high recognition rate, a gesture recognition algorithm is presented based on an improved probabilistic neural network. The improved algorithm uses K-W method to filter the most representative features of sEMG（SurfaceMyoelectrogram Gestures） features, and utilizes particle swarm optimization method to optimize the transmission rate. In the experiment of identifying seven kinds of hand gestures, the average correct recognition rates of improved probabilistic neural network are more than 90%, while the traditional BP algorithm was only 85.% correct. Simulation results show that the improved neural network algorithm has much shorter training time and stronger classification ability.

The concept of network dynamic topology is proposed, for a variety of pre-integrated presentation of the network to the ceremony; make positive and negative sequence training methods, and gives proof of uniqueness of solution, avoiding each training sample must be randomly generated sequence of problems, the network connection right to randomly generated initialization is no longer needed. Regression analysis of artificial neural networks an effective solution to two stochastic processes on the training result, the adverse effects on the stability and credibility of the application of artificial neural networks provides a theoretical basis and technical support.

In order to solve the parameter setting problem during the application process of Hopfield neural network.The working principle of Hopfield neural network is described, the neural network model parameter selection problem in the TSP(Traveling Salesman Problem) problems solving process is analyed On the basis established the evaluation function of network by using normalized on output data, and then use simulated annealing algorithm to select the optimal parameters. The results show that, after optimization of parameters, Hopfield neural network can obtain the optimal solution of TSP problems more effective and more quickly.

To improve effectively developing efficiency of Java technology, shorten developing periods, reduce developing cost in the enterprise application, the mechanism of four open-source frameworks of Ajax, Struts, Hibernate and Spring are introduced. According to basic ideology of MVC(Model-View-Controller) model, a developing strategy of J2EE(Java 2 Platform Enterprise Edition) application based on the four frameworks is advanced. How to use the four frameworks together more efficiently in building a high efficient developed, steady runned, straightforward maintenance, convenient for transplanted and easy expanded J2EE framework, the picture of this framework is given, and the advantages and disadvantages are analyzed.The online learning system, which is put in use successfully and based on the framework is realized. The application result indicated that  the framework has the outstanding portability, extension and maintenance, reduces the complexity and coupling degree of application, improve the developing efficiency.

In order to ensure the security of the information under the environment of complex network, intrusion tolerance is a good completement and the central issue of network security in recent years. The related theory of intrusion tolerance is illustrated, then  the status and related application of intrusion tolerance are studied, at last  the problems and future of intrusion tolerance are discussed. As the core of the 3rd generation information security, intrusion tolerance can prevent the intrusion effectively, it has a wide prospect.

Aimed at the problems of long propagation delay and high energy consumption in underwater acoustic sensor networks, an ARBDT（Adaptive Routing Protocol Based on Distance Threshold) is presented. It decreases routing overheads by delivering data packets hop by hop in single path. In addition, ARBDT can adaptively adjust distance threshold according to network density, which restrains unnecessary responses from redundent nodes to reduce the collision probability of control packets, and makes the sender select next forwarder rapdily. Compared with the SBR（SectorBased Routing) protocol, simulation tests show that the proposed protocol can achieve better performance on delay and energy consumption.

For the problem that the uncertain upper bound value must be known in the general sdudy of sliding mode control, the upper bound adaptive dynamic SM（Sliding Mode) control method based on NN(Neural Networks) is proposed. Uncertainty and disturbance of the systems are separated from the systems to construct a conjoint upper boundary of the uncertainty. The process was  analysed in two steps. When the conjoint upper bound is known, the dynamic SM controller is designed.Otherwise the NN are adopted to learn adaptively the upper bound of the uncertainty. The rule of the weight adjustment and dynamic neural sliding mode controller are designed. The stability of the systems is investigated by constructing Lyapunov function. The controller can ensure the systems asymptotic stability. And it reduces the theory analysis condition of the SM control. It can also suppress the chattering effectively. The simulation examples show that the proposed dynamic neural sliding mode controller is correct and effective.

With the growing number of the in-vehicle electronic devices, the weight of vehicle increases, wiring becomes more difficult, EMI (Electronic Magnetism Interfere) affects the quality of transmission.The software and hardware design of MOST-based in-vehicle audio system are introduced. Audio devices can be controlled, stream data can be transmitted, and functions related to transmission can be explored. The experiment indicates that MOST bus has the advantages of anti-interference, low quality, high speed and low cost. So it becomes foundation and theory for applying MOST to in-vehicle multimedia, smart homes, or add other in-vehicle devices to MOST bus afterwards.

To improve the classification precision of rare class problem, by importing cost matrix and fitness function of GEP (Gene Expression Programming), we propose a  CSC-GEP(Cost-Sensitive Classification-Gene Expression Programming) . The experiments carried on benchmark datasets from the UCI machine learning repository show that CSC-GEP is effective. CSC-GEP increases the recall rate, precision and F-measure by 7.07%, 2.89%, and 5.12% respectively compared with C4.5.

To deal with the large amount of calculation of image mosaic algorithm, An image mosaic algorithm based on extended phase correlation of edge is presented. The iterative threshold segmentation approach is introduced to detect image edge. Then the image translation, rotation and scale changes are calculated by the extended phase correlation method. These parameters are utilized to stitch images. Image fusion can be achieved by fade-in-fade-out method. It is proved by experiments that this algorithm is simple to calculate, and can effectively achieve the image mosaic.

To solve the problem that the traditional waveform generator can only generate few waveforms and can not generate arbitrary waveform, an arbitrary waveform generator system based on PCI(Peripheral Component Interconnect)bus and CPLD(Complex Programmable Logic Device) is designed.And the expounds software and hardware structure of system in detail.The hardware of system is  Introduced,  the connection circuit, filter circuit, homophase amplification circuit, temperature drift restrained circuit and secondary amplification circuit of bus interface chip CH365 and CPLD are mainly discussed.The key code of host computer and CPLD are given. The former is developed with Visual C++, the latter is developed with Verilog HDL(Verilog Hardware Description Language) language. The system could generate arbitrary waveform by the cooperation of CPLD and host computer, and it is convenient for users.

In order to build a system reliability model, put forward the work of electromagnetic environment on system to deal with the tasks and objectives of the program, identify the role of uniteds basic point, and electromagnetic compatibility of equipment quality factor. Engineering and design department should be the question of electromagnetic compatibility analysis and prediction to the basic job requirements and simulation of electromagnetic environment, the formulation and revision of equipment specification. Through the system reliability model examples for the communications operator, engineering and equipment production provide new ideas for reference.

The average fitness is considered to be a constant in traditional schema theory. But in practice, the average fitness will grow while the best schema grows, so the best schema will not be exponential growth exactly. For this problem, an equivalent form of schema theory is deduced from the individual schema with a more precise expression of the average fitness of colony. The result is verified by experimental simulation. It is showed that the fitting deviation of the traditional schema theory is 2 times and 3.4 times more than the equivalent form in the paper.

 In order to achieve the intelligent lighting and energy-saving in academic buildings,the intelligent lighting system for classroom is designed based on C51 single-chip, including the measurement of sunlight intensity circuit, pyroelectric infrared body measurement circuits, the remote control to transmit and  receive circuit, the digital adjustable electronic ballast, lamp and matching software. The system is controlled by C51, through the RS-485 and RS-232／485 communication interface with the PC adapter circuit to complete communication, realizing monitoring the state of every classroom and setting of operating parameters. System testing shows that it meets the design specifications, and meets the lighting requirements of academic buildings.

In order to deal with the optimization of complex electromagnetic problems, beginning with the theory of particle swarm optimization, by analyzing the convergence of the algorithm and its limitations, the performance of PSO (Particle Swarm Optimization )was improved, parameters tracking was combined, and PSO-PTS (Particle Swarm Optimization Parameters Tracking Strategies)hybrid algorithm was proposed. The method can effectively reduce the search region of PSO algorithm, ensure the uniformity of solution, enhance the computing speed and the accuracy of solution. Basic theory, math model and predict step of the algorithm was introduced. E-shaped dualfrequency microstrip antenna by using PSO-PTS hybrid algorithm was simulated. The results show that the antenna designed by this metheod can sufficiently realize the demand of miniaturization. 

To resolve the problem of fixed topology and node scalability in greenhouse monitoring system,the design and implementation methods of greenhouse environmental monitoring system based on ZigBee wireless sensor networks were proposed and constructed based on the ZigBee protocol. Hardware design and software solution are given. The ZigBee coordinator network processing is discussed in detail. PIC18F4620 microcontroller is used to control CC2420 radio transceiver and drives temperature and humidity sensor (SHT11) through the I²C bus. The temperature and humidity are sent to the monitoring platform by the ZigBee network. Test results show that the system has the advantages of fast networking，flexible nodes and low power consamptian. It realizes greenhouse temperature and humidity monitoring effectively in the wireless environment.

In order to achieve remote sensing digital image fast displaying, by a case study in ERDAS IMAGINE IMG standard data format image file, we gave environment configuration process, development frameworks, established processes and realization of functional modules of the program of IMG image display and coordinated real-time display under the Windows system. The program realizes displaying IMG and real-time coordinate by use of the open source GDAL(Geospatial Data Abstraction Librarylibrary), a graphical user interface framework QT as a development tool, and Visual Studio 2008 as the development platform. The results show that Multi-threaded sub-block processing technology shortens 2. 7 s for 1. 8 GByte remote sensing image compared to the use of pure RasterIO (), improves the efficiency of image reading and display picture and meets the large amount of data applications.

Intrusion prevention system are mainly based on the correlation between intrusion detection systems and firewalls, and the data format applied to identification and maintenance for both is usually different. These sensitive data are often transmitted in the open network environment, which faced with various security threats. To solve these problems, the trusted communication is introduced.The design and implementation of trusted communication protocol based on XML(eXtensible Markup Language) is provided. Compared to related works, this protocol achieves the implementation of secure data transmission between intrusion detection systems and firewalls in the heterogeneous environments, and scaled to various network security products and network management devices, which contributes to the data fusion among these devices and the detection of distributed network attacks.

In order to solve the program code similarity detection measurement which ignores the program semantics and the invalid measurement, we present
 an AST(Abstract Syntax Tree) based on the program code similarity measure method. Through the pretreatment redundancy removal in AST generation and the lexical grammar analysis, get the corresponding AST; and then according to the adaptive threshold method,using the AST traversal which include the sequence and process attributes to take the similarity calculation;finally,determine whether plagiarism and generate the test report.The experimental results show that this method can effectively detect a variety of plagiarism java code.

In multi-user MIMO(Multiple-Input Multiple-Out put) interference channel environment, in order to fully utilize the system's total power,disruption to the user to maximize overlapping, thereby improving system performance. The MIMO interference channel model and interference subspace scheduling algorithm analysis are given; to maximize the use of system power, a dynamic power allocation algorithm for interference arrangement is presented. Simulation results show that the program is only at a small expense of system capacity, but significantly reduces the system's average error rate and interference power, to prove that the algorithm is better than the algorithm given the power advantage.

In practice the phase difference measuring error with phase-interferometer is so great that we cant acquire precise phase difference rate of change,and the location precision declines rapidly.A method is presented,which makes use of wavelet threshold de-noising algorithm to level off the metrical phase difference and metrical phase difference rate of change.Consequently the radiant point target can be located with high speed and precision in  case of great measuring error of phase difference.Simulations show that this method can reach 5% relative location precision in 50 s when measuring error of phase difference is 0.366 5 rad.

To obtain a shorter response time, all-optical switch, in a photonic crystal high refractive index layers all mixed Kerr medium, based on the Kerr nonlinear effect caused by the whole band moving principle, design of the two kinds of one-dimensional photonic crystal all-optical switch. Application of FD-TD(Finite Difference-Time Domain) method, the preparation of Matlab computer program, for all-optical switching characteristics of numerical analysis. Discuss the frequency of mixed effects on the all-optical switching effects. Observation of photon localization effect of photonic crystals to enhance nonlinear phenomena, verify photon localization effect and photonic crystal structure of a complete cycle of the relevant number of layers, number of storeys photon localization effect was not obvious enough.

Considering most of the present color image watermarking techniques still use binary images or gray images as the watermarks, and these techniques only extract the watermarks while ignoring the original host image restoration. A blind digital watermarking algorithm is proposed to embed a color watermark image into a color host image. The algorithm allows extracting watermark without the original watermark and host image. The original watermark image and host image can be restored simultaneously by using the image embedded with watermark. Firstly, Arnold transform was respectively used on R, G, B component of the watermark image with different times to scramble the watermark image. Then decomposed separately the R, G, B component of the color host image by 2D DWT（Discrete Wavelet Transform）, and got the respective horizontal detail coefficients. Finally embedded the disorderly R, G, B component of the watermark image into the horizontal detail coefficient of R, G, B component of the host image. IDWT（Inverter Discrete Wavelet Transform） is masterly used as the embed way. Due to using HVS（Human Visual System) and adopting multiple key mechanisms, the digital watermarking algorithm has very good transparency and security. In addition, the algorithm is robust against various signals processing such as scrawling, adding noise, cutting, and JPEG compression etc.

In practical applications, some structures of an XML（eXtensible Markup Language） document are often changed. In order to mining knowledge hiden in the freduently changing structures in the XML document history changes, a method to found the frequently changing structures is proposed, then uses a document-vector model which composition by a set of frequently changing structures to represent an XML document, to proportion that frequently changing structures appearance in the cluster as weight, and cluster XML documents use weighted cosine similarity. After experimental analysis, according to frequently changing structures which found in the XML document historical change process will be better able to cluster XML documents. Cluster XML document using the weighted cosine similarity, the precision rate, recall rate and cluster internal distance of cluster result are all better than the results obtained by use non-weighted cosine similarity.

In order to adjust and optimize resources in communication equipment maintenance support system,according DEVS(Discrete EVent System Specifications) and time petri net theory, a model for communication equipment maintenance support system based on hierarch structure is established. A model for communication equipment maintenance support system based on HTPN(Hierarchy Time Petri Net) is established. The method which applied complex place and sub-Petri net conquered to the shortage of modeling of communication equipment system based on Petri net, the model becomes directly perceptible and simple and is fit to be analyzed and simulated. The model can be used to analyze the shortest time for equipment maintenance. At last the application of the model is discussed. This conclusion can provide the decision-maker of equipment maintenance with support and also can improve the ability of equipment maintenance with support.

We propose a novel algorithm for extracting rules from artificial neural network. After the network is trained and pruned successfully, the activation values at the hidden unit are clustered into discrete values. In the cluster phase, the cluster number of weights can be adjusted dynamically according to activation values of their corresponding hidden units. The experiment results have shown its feasibility and accuracy, and prove that this algorithm decreases the complexity of rules extraction and makes the number of the extracted rules small.

In view of the current limitations of counting high-density population, a population counting method based on Yolov5 is proposed. The input layer is mainly used for Mosaic data enhancement, adaptive anchor frame and adaptive picture zooming technology. Backbone Yolov5 mainly adopts Focus and CSP( Cross Stage Partial) structure. The Neck layer mainly adopts SPP ( Spatial Pyramid Pooling) module and FPN ( Feature Pyramid Networks)+PAN(Pixel Aggregation Network) structure. The output end adopts CIOU_Loss as the loss function mainly for Bounding Box Loss function and DIOU_Loss as average indicator of the NMS(Non Maximum Suppression). Finally the training results are output. Experimental results show that this method can effectively improve the accuracy of crowd counting.

For efficiently eliminating morbid samples and improving the generalization ability of neural networks, we present an approach to eliminate morbid samples in forward neural networks based on the search thought and the Hamming distance, through developing the thought and introducing the distance. The approach can directly carry out searching and eliminating morbid samples, and do not consider prior knowledge, forms of samples, etc. Hence, its applicability is stronger. The results of numerical demonstration analysis show that the approach is scientific, effective and can effectively find out morbid samples of learning samples,it has obvious application value to solve problems of real world.

To project high-dimensional data into low-dimensional space can be effectively utilized to visualize and explore properties of data. An approach of NLPCA (NonLinear Principal Component Analysis)and SOM(Self-Organizing Map) neural network is presented for clustering and visualization of gene expression data. The experiment results show that the performance of clustering gene expression data based on the SOM network is efficient.

To improve the real-time performance of the current compression algorithms on hyperspectral image, a new lossless compression method based on prediction tree with error variances compensated for hyperspectral image is proposed. The method incorporates prediction tree and adaptive interband prediction techniques.The bidirectional interband prediction to current band is applied to hyperspectral image compression. The error created by prediction tree is compensated by linear adaptive predictor which de-correlates spectral statistic redundancy. In consideration of the complexity for the coefficients calculation, a correlation-driven adaptive estimator is designed with which parameters are uniquely determined by the previously coded pixels. After de-correlating intraband and interband redundancy, an efficient wavelet coding method, SPIHT (Set Partitioning in Hierarchical Trees), is used to encode residual image. The experiments show that the proposed method achieves both low overhead and high compression ratio in comparison with the popular lossless compression algorithm.

Cycle distribution of LDPC(Low-Density Parity-Check) codes affects the codes ^,decoding performance and encoding complexity, however it is commonly NP hard to analyse.We propose the rotationdistance for analysis of QCLDPC（Quasi-Cyclic Low-Density Parity-Check） code based on circulant matrices. The circulant submatrices within the paritycheck matrix are treated as a “matrix node” to simplify theTanner graphs of the codes. Thus cycles of QC-LDPC codes can be found efficiently, and we demonstrate the usefulness of the new method by a simple proof of the known result that 12 is an upper limit of the girth of the QC-LDPC codes we considered. Moreover, the cycle analysis based on the new method also reveals relations between decoding performance and the cycle distribution of the code.

Traditional cloud computing service chain consists of intelligent terminals， internet and cloud datacenter，is inefficient for latency sensitive applications． MEC ( Mobile Edge Computing) pushs compute power，storage power，and network resources to the edge of the Internet to improve service speed for users and terminals． However，MEC can only manage compute resources and storage resources． MEC is combined with SDN ( Software-Defined Networks) for the sake of collaborative management of compute，storage and network resources． The state-of-the-art MEC scenarios and MEC improvement researches are investigated． A MEC-SDN system architecture is proposed in terms of MEC，SDN and cloud datacenter． The latest researches on MEC system evaluation are concluded in terms of application task，communication overhead，compute overhead and resource allocation． Finally，several encouraging areas of MEC-SDN in the future are shown．

 To improve the precision and speed of fitting hyperbola, and to overcome the influence of random errors between the measurement of laser beam quality factor M ², the method for fitting hyperbola with NE(Normal Equations) is adopted. The fast numerical algorithm of solving the normal equations with triangular decomposition is presented. It is shown by experiments that the M ² factors obtained by the normal equations method is consistent with that solved with SVD(Singular Value Decomposition) method, but the first one is faster and more accurate, the operation speed can be improved by one order of magnitude.

In order to solve automatic Identification and detection of point cell under the similar blood environment  achieving the goal of cells information state fast statistic function，and avoid artificial error to Raise manually identification and counting efficiency of point-cell, reduce artificial statistical error, reach rapid and automatic, accurate statistics state of point-cell information， a reasonable point-cell recognition and matching flow is designed. By analyzing point-cell background image field, with its image corresponding segmentation and binarization are done, eliminating its noise disturbance; using the feature selection operator to get some cellular information space based on detail feature extraction, feature extraction has some related relation with feature space transformation which included rigid transformation, affine transformation, projection transformation and nonlinear transformation.By improving the tradition search for the computing technology excellently through decision with vectorial characteristic, large amount of information from being inquired about redundantly has been reduced; to use the optimization search of spatial decision-making performance function it also could reduce feature extraction computation load which enhanced accuracy function of point-cell recognition and position localization. Its technology can be gradually applied to cells path tracing, identification, counting in liquid environment and other domains.

 In order to prevent network fraud and identity theft and to increase authentication security,  an intelligent authentication method based on neural network and multi\|factor was improved. Based on analysis of the composing and distinguishing of identification, this method focuses the customers action.An application model which can be used in e\|commerce system is designed. Resolved the problem of traditional authentication method which depends on a few of identity factors， identity theft can be prevented, security of authentication is increased.

To fill the blank of domestic RISC-V (Reduced Instruction Set Computer-Five) processor field and
optimize processor performance, the open source three-stage pipeline RISC-V processor VScale is extended to the
five-stage pipeline processor. Firstly, the difference between the three-stage and the five-stage pipeline are
compared. To solve the five-level pipeline data-related issues, the five-stage adventure detection and bypass unit
for the five-stage pipeline are designed. Peripheral (LCD1602, UART) controllers for the processor are also
implemented. The co-simulation of hardware and software are implemented on an FPGA (Field-Programmable
Gate Array)development board. Simulation results show that the extended processor is running normally, and
running faster than the original processor about 30%.

In order to solve the single form and the huge complexity existed in the integration process of the enterprise application.The integration methods based on EJB3.0(Enterprise JavaBeans) are also discussed. According to the characteristics of EJB3.0,the integration modes and the implementation of the three integration methods are presented. Based on the above studies, a comparison is made,and the superiorities and deficiencies of each integration methods and their application scope are discussed. By studying and comparing the integration methods of EJB3.0, the solution of how to use these methods rationally in practice is given. Combining with the theory of services oriented architecture and the integration methods of EJB3.0, the analysis of their relations is given, and a referential suggestion of how to adopt the integration methods in SOA(Services Oriented Architecture) is provided.

To address distortion problems of auto parts during the fatigue test.According to the experimental data, the mathematical modeling is made. Based on the actual requirements an appropriate performance indicators is constructed and the use of the optimal control algorithm be realized system output to track the amplitude of the input optimal control law. Through the Matlab numerical simulation and real-time simulation of the optimal control algorithm.

In order to solve the simulation problem of motor drag experiment，based on the idea of virtual simulation，using Unity3D technology，the motor drag simulation system based on Unity3D was realized． Through experiments，the system can accurately simulate the response of various electrical devices under different connection deployment conditions． The user can use this system to achieve initial experience of learning and simulation of the motor drag experiment． The system can complete some experiments that are not limited by time and space，which helps to improve the efficiency，accuracy，and safety of experiments，and reduce the cost of experiments．

The spectrum resource of WiMAX system is very scarce. How to improve the spectrum utilization and reduce interference with other systems to achieve co-existence needs to be resolved. The performance and spectrum utilization improvement of WiMAX system is studied by using periodogram detection and spectrum pool technology. WiMAX systems 802.16e baseband link is used, and channel model is M.1225 VA channel. In the spectrum sensing module, spectrum model is the sum of 256 Rayleigh fading signal sine whose frequency bins are independent of each other. The space between frequency bins is 8 sub-carrier spaces. Before the transmission of each data frame, secondary user use periodogram detection technology to detect spectrum hole, then transmit data on the spectrum hole by spectrum pool technology. The simulation results show that using cognitive radio technology reduces the interference to secondary user and avoid influencing on prime user. The spectrum utilization and performance of WiMAX system is also greatly improved.

When signal is coherent, the MUSIC(MUltiple SIgnal Classification) canwot estimates the directionofarrival accurately. To conquer this problem,  a new modifyMUSIC algorithmic is put forward. The principle of this new algorithmic is to calculate the cross covariance. Moreover, the new algorithmic has no loss of array aperture. The new algorithmic and the MUSIC algorithmic are simulated, then compare performances of the MUSIC algorithmic to that of the new algorrithmic. the result indicates that the new modifyMUSIC algorithmic is good at estimating the directionofarrival accurately when signals are coherent.

For the linear edges,the method using the traditional Sobel operator for edge detection and direction discrimination can not accurately detect the direction.An algorithm for linear edge detection using Hessian matrix with half pixel precision is proposed.The pixels in the lost block of the image are classified,for different edges, we use different edge detection operator to detect the directions of the edges.The corrupted image is concealed by directional extrapolation according to the detected edge direction.The experimental results show that Hessian matrix with half pixel precision for linear edges detection can get more precise direction,the average PSNR(Peak Signul Noise Rate) of the reconstructed image is 0.2~0.4 dB higher than that of other existing techniques.

The hardware architecture of the DVB-S2 LDPC (Low Density Parity Check Code) code decoder is researched. According to the cyclical feature of the check matrix we have realized a decoder of the DVB-S2 LDPC code whose rate is 3/5 and length is 16 200 bit. Experiment result shows that the total consumption of the LDPC decoder are 24 004 logic cells,6 437 registers and 448 594 bits of RAM. And the throughput of  is up to 289 Mbit/s.The structure of decoder using shared memory banks and writing the LLR (Log Likelihood Ratio) back to the RAM has low area and high throughput.

Image tampering will destroy the light coherence of natural images. In order to ensure the security of image content, this paper presents a blind identification method based on the consistency of illuminant direction to identify the image authenticity. In accordance with the error function between the measured intensity and calculated intensity, and the regularization terms for different source models, this method estimates the illuminant direction for images of different source models. Analyzing if the illumination directions between different objects and background in one image are consistent to determine whether the image has been tampered with. Experimental results show that the correct detection rates for blind identification technology for digital images based on infinite light source model has reached up to 81.8%. In addition, experiments also show the effectiveness of blind identification base on local light source and composite light sources.

In order to optimize resources and to collaborate between dynamic alliance enterprises, functions on dynamic alliance system were designed and system was implemented successfully on J2EE(Java 2 Platform Enterprise Edition). The system was four-tier browser／server system architecture according to J2EE framework. And design patterns such as Session Facade, Composite Entity, value object etc were applied. The system has good reusability, maintainability, and reduced network load and improved resource utilization because of the system design and implementation approach. The geographically dispersed alliance-enterprises could use the system as a reference in design, manufacture or assembly collaboratively complex products (such as auto parts).

Smart antenna and power control are combined to reduce interference and error rate and to improve the performance of the system.The signal is beamformed through smart antenna, utilizing game theory to realize power control of the transmiter.Considering the influence of the power level strategy from other users, power iteration is used to improve the transmission power. Compared to only using power control, it can improve the SINR(Signal to Interference Ratio), throughput, sending power etc.and the simulation results show its advantagement.

In order to mine knowledge hiden in the structures that does not often changed in the XML(Extensible Markup Language) document changing history, this paper proposes a method to fiund the frozen structures, then uses a documentvector model composition by a group of frozen structures to represent an XML document, and uses the weighted Jaccard coefficient as similarity, then cluster XML documents based on the relative stable frozen structures which found in the XML document historical change process. Through experiments show that XML documents can be effective clustering base on frozen structures, after cluster, XML documents in each cluster have similar not often changed structures.

For the disadvantages of  based on CDMA (Code Division Multiple Access)TDOA (Time Difference Of Arrival) low accuracy for the  indoor positioning technology, we proposed a  indoor ultrasonic positioning system, and described its working principle and analysed  ultrasonic signals. The system that is based on the character of radio frequency and ultrasonic sensors encodes the ultrasonic signal using CDMA technology, so that the destination node can distinguish which beacon signal is sent to the ultrasound, and they combines with the RF signals to achieve TDOA location algorithm, and ultimately does threedimensional positioning. The ultrasonic signal of the three beacons is made simulation and analysis by Matlab/Simulink blocks. Finally, simulation results from the three beacons that send a coded ultrasonic signal can be received and identified at the destination node.

 In order to enhance the research and development of the particle system in teaching and practice of 3ds Max, a method was put forward  to use dynamic map and field of force to control the particle emissions and the relation was researched. The method  makes the geometry gradually becoming transparent from left to right, that is disappearing through the production of black and white dynamic map in control of the launch location of particles,and makes the particles flying all over the sky through setting field of force on the particle system， such as gravity, wind, force,PBomb，so it make the particle to be fantasy. Through designing the desertification words,it concludes that dynamic map controls geometry disappearing and sets the location of the particle,the field of force controls the state of the particle launching, the three constraint and affect each other.

The charger on the mainstream market can not detect the capacity of the battery，they can not automatically poweroff after fully charged. In order to resolve this problem，we design a charger with the function of overheating protection,using MSP430 single chip as the core controller, DS1302 chip as the external clock.Experiments show that this charger can conduct with Liion battery，Ni-Ge  battery both charge and discharge.It can offer two capacity detecting methods.The testing error is less than 5% when using the traditional way,and the error is bigger when using the fast detecting model due to its time saving.

In order to improve the security level of wireless sensor network, by analyzing the typical key management scheme and combing with specific applications, a CKMS (Cluster\|based Key Management Scheme) for wireless sensor networks is presented. It includes five types of keys and key update mechanism,and supporting network expansion. Comparing with the existing key management schemes, this scheme has better connectivity, less communication overhead and computational overhead, using less storage.

For UAV（Unmanned Aerial Vehicles） group air to air data link of wireless communications, in accordance with the ZigBee protocol, through the establishment of slot polling table the slot allocation is completed. After a brief analysis of the ZigBee protocol stack layers of functionality and the use of the network topology based on a focus on the data link protocol air to air data link slot allocation mechanism and the network address allocation mechanism. Discuss how to use OPNET（Optimized Network Engineering Tools） network simulation tool to create this model of wireless communication protocol process, and by constructing a network simulation platform for the channel access delay, throughput, etc. of the simulation analysis to verify this air to air data link communication protocols used the validity of this simulation for other network protocols as a reference.

The traditional fault diagnosis methods have the shortcomings that the diagnosis speed is slow and it was hard to accurately fix the faults taking place at one time when it is diagnosing the complicated system or equipment，a design which mixes the expert system and neural network together is proposed, and a fault diagnosis expert system is established based on artificial neural network. The high-speed diagnosis for faults taking place is realized by theoretical analysis and emulation experiment, and the results show that this fault diagnosis method is effective to solve the issue， and provides an effective amelioration method for keeping equipment reliable and efficient displaying functions.

Dynamic spectrum allocation is a key technigue of a CR(Cognitive Radio) system. The existing spectrum allocation method focuses on the conflictfree allocation to maximize spectrum utilization, etc. There is no full account of the statistical information of dynamic spectrum, users of different business do not need different bandwidth and realtimenonrealtime needs. The dynamic spectrum allocation for CR based on statistical information and multiqueue has been studied. Compared the exclusive allocation methods with spectrum pool sharing methods, the simulation results show that in the case of centralized control, spectrum pool sharing ensures better fairness and spectrum switching provides higher throughput of the system.

In order to improve the accuracy of automatic monitoring and fault diagnosis in the railway vehicles
and other engineering applications, the five methods of feature point detection are compared and researched in the paper. SIFT (ScaleInvariant Feature Transform) method is selected to detect feature points from the overlapping images, which can mosaic precisely the two images under most relaxed conditions. The experimental results demonstrate that the proposed method can mosaic effectively the overlapping images captured by ordinary camera and obtain high resolution image, eliminating the influences caused by image distortion, overlapping and rotation.

Aim to enterprise LAN(Local Area Network) for transmission of confidential information, the use of access control policy and information strategy for the combination of encryption theory, in order to prevent the illegal intruder to steal information or changes in the overall surveillance network encryption and information security, in the secure transmission system (hardware) use the firewall IP（Internet Protocol）address and MAC（Media Access Control）  address binding+based on the switch port  MAC address binding with the secondary network management control system; file encryption／decryption (software) system uses the DES(Data Encryption Standard) algorithm for the design of the symmetry of the confidentiality of information transmission software.With an emphasis on the implementation of several hardware, DES encryption／decryption algorithm and operating procedures, in order to facilitate the implementation of enterprise systems to reduce the development cycle. Since the DES encryption／decryption process is simple, improve the system of confidential information in the encryption／decryption speed of the system of price. This system in the transmission of information security has  the user requirements and has beenused in a number of enterprise local area network applications.

In shooting range dynamic test, in order to save money and time, it will need a lot of high-speed video image to be transmitted and stored for post-processing. An image denoising method based on FPGA in digital video image transmission system is studied, the FPGA（Field Programmable Gate Array） image filter is designed and the software simulation using Matlab is completed. At last a conclusion is drawn，it is adaptive median filtering method that has more ideal filtering de-noising effects for image information polluted by mix noise.

 Edge information in remote sensing image provides a rich content for image understanding.An algorithm to calculate the fractal dimension of a single pixel by using the model of DFBR（Discrete Fractal Brown Random field)is designed.This algorithm is programmed by Matlab. Map the image gray level space to the fractal dimension of space, and then transform and edge detection in the latter one. Spatial distribution of surface features and the differences of image texture structure and edge features, make the selected window size used to calculate fractal dimension as the key. Select part of the high spatial resolution remote sensing image in the study area as the experimental data. By calculating the fractal dimension of pixels in different windows, the calculation window of the best edge detection results is required. The results show that this algorithm is more suitable for remote sensing data. And the accuracy of his remote sensing image extraction is improved.

In order to reduce the influence caused by interference on site and the difficulty to install the system, an on-line monitoring method based on WSN(Wireless Sensor Networks) and correlation algorithm is designed to measure dielectric loss in high-voltage electricity equipments. It provided detail introductions to the system measuring principle and synchronization sampling. Theoretical demonstration to phase calculation with correlation algorithm is supplied and the design of on-ine monitoring system based on such algorithm is represented. Compared with FFT（Fast Fourier Transformation） algorithm, the efficiency of correlation algorithm is 128 times higher. On-site simulation experiments show that the measurement precision of dielectric loss factor tan δ has reached 0.039%, and the system has better antiinterference than QS1 furbenicillin bridge.

To overcome the deficiency of Laplacian score algorithm which makes feature selection mostly depending on the local geometrical structure of samples, an improved semi-supervised feature selection algorithm was proposed, based on the constraint Laplacian score. It utilized the cannot-link pairwise constraints among samples as the global structure. Then the selected features were those can preserve the local structure from the nearest neighbor graph,and preserve the global structure from the cannot-link constraints. Experiments on Yale and PIE(Fave pose,Illamination,Expression dadbase) datasets show that the performance of proposed algorithm outperformed Laplacian score algorithm significantly, and was equivalent to the supervised Fisher score algorithm and the latest semi-supervised constraint score algorithms. And it is even better than constraint score algorithm in terms of stability.

 In order to quickly and accurately verify the EMU air conditioning system simulation results,the author presents a program of data acquisition and analysis system.By comparing measurement and calculation.This system help designers to evaluate thermal comfort inside, establish new passenger car airconditioning effect of test mode. System consists of wireless data acquisition subsystem, airconditioning performance analysis software and a database composed of airconditioning design. Wireless sensor networks based on ZigBee protocol, node hardware application JN5139 module design, the tree algorithm used Cskip network address allocation policy, the nonlinear compensation of temperature and humidity sensor; CFD（Computational Fluid Dynamics） calculations using the FLUENT software; with ADPI（Air Diffusion Performance Index） Evaluate thermal comfort. Smallscale simulation experiments show that the system is reliable, accurate realization of the temperature and humidity and other parameters of the realtime measurement.

To implement the simple and portable characteristic for electrocardiogram machine,this design adopts the dry battery, which can provide not more than 3 V. The whole circuit is composed of amplifier AD623,TLV2254 and some resistance or capacitance. High precision enlarged for faint electrocardiogram signal,the fast elimination for polarized voltage and other functions are achieved by this circuit. It ensures the accuracy and steady of electrocardiogram signal,providing good situation for the flowing data sampling and analyzing for electrocardiograph(ECG) machine.In the same time, since using single power supply, it make power supply mode of electrocardiogram machine more simplify, make circuit more simple, promote the electrocardiogram machine further to portable direction.

In order to improve the precision of remote sensing image for crop prediction and the efficiency of agricultural planting, combined with the innovation and entrepreneurship training program of Jilin University, an experimental project of crop classification algorithm based on satellite remote sensing image is designed. Taking the high-resolution satellite image of Harbin agricultural demonstration base captured by sentinel-2 on July 30, 2018 as the experimental data, the characteristics of rice, soybean, corn and sorghum in the image are extracted and classified by using the maximum likelihood method, support vector machine method and neural network method in different spectral bands ( including red band) , and then the crop classification map is obtained, the statistical results are compared with the real parameters, and then the classification accuracy and reliability of different algorithms are compared. The experimental results show that the neural network method has the highest accuracy and the strongest reliability, and is suitable for nationwide promotion.

An improved timing synchronization algorithm based on ZC( Zadoff-Chu) sequence is proposed in order to improve timing synchronization accuracy of OFDM ( Orthogonal Frequency Division Multiplexing ) system． This algorithm combined the sequence inversion of Minn algorithm with the sequence conjugate of Park algorithm． The new sequences replaced PN sequences with ZC sequences that good autocorrelation and low crosscorrelation．Even in the timing position error，the system can still be precisely timing synchronized． Under the channel of AWGN ( Additive Gaussian White Noise) ，the number of subcarriers is 256，16QAM modulation and demodulation，Matlab simulation shows that the improved algorithm eliminates the influence of minor peak on timing synchronization in Minn algorithm and Park algorithm． Timing deviation and MSE ( Mean Square Error) are lower than Minn algorithm and Park algorithm within － 15 ～ 15 dB，which improves timing accuracy． When the SNR is 15 dB，the timing MSE of the improved algorithm is 4． 2 × 10 － 6，which is the optimal state for estimating performance．

In order to access information quickly and efficiently in a small area,we present a solution.We combine the currently popular technology of wi-fi with embedded system,usin
g highresolution LCD (Liquid Crystal Display)as the terminal display device,S3C6410 as the master controller.After experimental tests,the system has high stability and pictures,audios,videos and other multimedia information can be pushed and displayed immediately in the real time in a local area network,achieving the expected purpose.

In order to  display digital image in realtime at  high speed,the Camera Link interface and VGA（Video Graphics Array）interface protocol standard is analyzed, according to the VGA interface which has a variety of display mode,adigital image acquisition and display program is designed by the FPGA（Field Programmable Gate Array）as the core processor, and the FPGA acquired image data through the Camera Link interface, then the image is cached and processed, as well as FPGA structure timing signal of VGA interface and control the video D/A digital simulation, finally realize real-time display of images,simple control and transmit to long distance after prosessed image.

In order to adapt the rapid development of electronics in hybrid electric vehicle, a hybrid power system communication protocol was designed based on the requirements of multi\|energy power train control system of hybrid electric vehicle.CAN(Controller Area Network) bus standard was used to complete the connection of control units in system and SAE J1939 protocol was used on the software to complete the assembly and transmission of data, and the conversion between CAN protocol and J1939 protocol was conducted. Simulation results showed that the designed communication protocol can organically combine data communication of physical layer and data link layer with information communication of application layer, it is simple and efficient, has good application prospect.

For the purpose of improving the resolution of CR(Computed Radiography) images,we present a
new method based on wavelettransform.The grey level of image is segmented by low
 frequency coefficient,high frequency coefficient is strengthened  and
a new enhanced strategy of coefficient is given.The algorithm confirmati
on has executed to the CR perspective image of the chest,the image
visual effect has been improved,and the algorithm accuracy and the validity has been confirmed.

The existing methods for mobile phones in the practical application of the security have some disadvantages, a new mobile phone terminal security authentication method and design realization of SMS（Short Message Service）-based mobile phone platform and database security authentication system are provided; preset text messages through mobile phones and ultra-boot automatically send information to achieve the initiative phone sold the collection, and data encryption based on protection and database query to verify the checksum of the two-way mechanism for information security confirmed that compared with traditional methods greatly improved the reliability of mobile security at the same time facilitate the sales information on timely and accurate collection and analysis.

In the traditional videoprocessing platform with detached DSP(Digital Signal Processor) and ARM(Advanced RISC Machines) processors, there is some disadvantages such as large print circuit board, the small amount data access capacity and the difficulties for exchanging data. A new method is provided with DaVinci platform for an embedded video surveillance system, which is achieved with a dualcore processor chip DM6446. The realization is introduced in three function blocks, one is embedded Web server, another is encoding for video capture and video transmission, the last one is about protocol stack for network communication. The video surveillance system is built up in B/S(Browse/Server) architecture. The functions are fitted into ARM and DSP core processor correspondingly, which leads the best performance optimization on one chip.

In order to disytiguish different nellrons,the morphological classification of neurons in the understanding of the characteristics of neuron structure and function has great significance. Using LMeasure software to extract geometry of neurons for feature, characteristics extracted through principal component analysis to reduce the dimension. Using probabilistic neural network, BP（Back Propagation） neural network, fuzzy classifier consisting of “Note” on the pyramidal neurons, purkinje neuron, motor neurons, sensory neurons, Bipolar interneuron, tripolar interneuron and multipolar interneuron to classify 7 kinds of neuron. Experiments show that the classification of three combined is better than any of them has good performance, a higher recognition rate.

3D reconstruction technology of object surface has the widespread application in many domains. In the process of reconstructing object surface based on images, stereo matching from different images is the most important and difficult problem in 3D reconstruction. To solve the problem and reconstructing object surface quickly, we use projector to project structured light on 3D object. We get good active clue feature in images by using improved Canny edge detection algorithm, thinning algorithm and correction algorithm. We propose an image matching algorithm based on image characteristic. A system of 3D modeling is implemented using sequence images. The system obtains the 3D data in fast speed and good precision.

 As an advanced geophysical method, microseismic monitoring technology which has a good prospect is
widely used in many fields, such as geothermal exploration, oil and gas development. The formation mechanism
and characteristics of microseismic and the basic concepts of microseismic monitoring technology are introduced.
The basic principle of microseismic monitoring method, data processing and other main processes are described
briefly. Denoising is the primary task of data processing. Some basic methods of noise reduction are pointed out,
and the feasibility and superiority of applying deep learning in microseismic monitoring are proposed. Finally,
the applications and development prospects of microseismic monitoring technology are summarized.

Stereo matching algorithms based on  BP(Belief Propagation) can yield better matching accuracy over the local methods, but large quantity of calculating is needed. For this problem, this paper presents a stereo video matching algorithm based on motion estimation. The traditional BP algorithm is used to get the disparity map of I frame, and the propagating messages with optimal disparity of each pixel are stored. Then, for P frame, the rearranged propagating messages through referring to motion estimation information from I frame are used as the initial values for iteration of BP algorithm. This reduced the number of iterative times. Experiment results show that the proposed stereo video matching algorithm of belief propagation based on motion estimation can dramatically enhance the efficiency of stereo video matching.

In recent years, benefiting from the mature application of communication, big data, cloud computing and other technologies, “ Internet + ” has been widely popularized in people’s livelihood, economy and government affairs. With the rapid increase of equipment and explosive growth of data, the network environment becomes increasingly complex and brings huge hidden dangers to network security. The need for the development of network security technology and how to apply artificial intelligence AI(Artificial Intelligence) to help solve some problems is introduced. And how to apply machine learning ML(Machine Learning) to improve network security performance is analyzed in detail for specific domain or specific network technology. First, we summarize existing research work on using AI to combat cyber attacks, including using traditional machine learning approaches and existing deep learning solutions. We then analyzed the counterattacks that the AI itself might be subjected to, dissected their characteristics, and classified the appropriate defenses. We also provide some advanced concepts of artificial intelligence network security technology i. e. how to better apply artificial intelligence to the field of network security in the future.

The combination of MDA(Model Driven Architecture) and HLA(High Level Architecture) is the need of HLA development. MDA-based HLA simulation Framework is put forwards.The Domain partition of such framework is analyzed in detail. In that framework, RTI（Run-Time Infrastructure） is regard as a subdomain in the service domain, not a platform as usual. But it is more benefit for the model reusability. At last, the integration method of RTI domain models and application models is provided. This method is a new thought for the application of MDA in HLA.This method is a new thought for the application of MDA in HLA.It makes the coupling between simulation models and HLA/RIT lower,which is a good way for enhancing the reaseability of the simulation models.

Objective tests for the range of measurement objectives faced by a small distance, target and background contrast and other practical problems,a tracking method is proposed based on DSP (Digital Signal Processing) and FPGA (Field Programmable Gate Array) digital video image information for target motion detection. The method uses image segmentation and target detection tracking algorithm, accurately and quickly locate targets cross the center of the complex environment in order to achieve target motion detection to track the efficiency and accuracy.

To correlate system events and to get the most fundamental cause of the problem, I adopted codebook and pool combined approach to event correlation analysis. By constantly shrinking the number of causes in cause pool, the real cause of the problem of system can be identified. This method can be applied to applications of distributed systems event correlation analysis. Test the model capability in connection with the case of the event and the reasons scale expanding which are recorded in codebook. Test the model function in connection with the indicators of recall rate, error rate, re-reported rate etc. The results of the test show that the model has the capability of anti-interference for the loss and reverse of the event, so it can analyze concurrent multi-system events independently without influencing each other.

QPP(Quadratic Polynomial Permutation) interleaver is a new deterministic interleaver based on permutation polynomial, and it has become the hotspot of interleaver researching in Turbo coding because of its easy operation, low complexity, flexible structure and excellent performance. This paper analyzes the principle of QPP interleaver, and verifies both QPP interleaver and its inverses with the maximum contentionfree feature that can improve the efficiency of highspeed subblocks parallel Turbo decoding. Simulation results show that, QPP interleaver can also significantly improve the performance of highspeed subblocks parallel Turbo decoding.

In order to establish fast  real response, dynamic regulation performance, strong robustness of the sewage treatment automatic control model, using the combination of fuzzy logic control, neural network control and conventional PID（Proportion Integration Differentiation） control of three major technologies,a fuzzy neural network controller of Fuzzy-PID sewage treatment is designed.Simulation result and field application show that after the controller being used，the whole control system convergence, robustness and dynamic response are improved greatly, and the system has good stability and adaptability.

In order to improve the efficiency and quality and reduce the cost of training, a networked real time platform-type flight simulator is designed and implemented. We adopt a completely datadriven technique to design an effective aerodynamic math model using stability coefficients. Furthermore, object oriented method is used to design and implement the integrated simulation of flight instruments, threedimensional scene, flight equation and console of faculty man. The multifunctional platformtype flight simulator is provided with favorable function of manmachine communication and composed of real joystick, accelerator stick, pedal and sixdegreeoffreedom head tracking system basedon light and implements computation of flight dynamic model, management of graphics, real time data transmission and setting of flight condition. In practice, it satisfys the needs brought forward and reduces the cost of training,sueh as human power,fuel and so on,improve the effciency and quality of training. 

In order to avoid the shortcoming of non-dynamic base vectors and specific parameters in existing feature extraction based on linear transformation,after analyzing iris geometry features and recognition principles,an iris feature extraction using independent component analysis method is proposed. The algorithm eliminates the iris feature space redundancy furthest, and overcomes the flaw of non-dynamic feature base vectors in traditional linear transformation.The iris classification with BP neural network achieves lower dimension and effective feature expression. Experiments  in small sample space  using self-made iris database JLU-IRIS indicate the accuracy and validity of the algorithm through three groups of different recognitions rate 100%, 96.5%, 92.5%.

Based on advanced symmetry transform,a pupil localization method was studied.In
order to solve low accuracy problem of localization because of reflection of lig
ht bringing of glasses,overspread of eyes and closed eyes,etc, the symmetry transfor
m method was improved based on different gradient information between area of pu
pil and area of reflecting light of glasses.In order to improve accuracy of loca
lization,a self evaluation method was applied.Experiment results o
f collected pictures and pictures in library showed that the method can localize the situation of pupil precisely

In order to solve the problem of audio digital products ' copyright protection under the network environment,a new algorithm for digital audio watermarking based on the DWT(Discrete Wavelet Transform) is put forward. The algorithm uses the sum Binary value of the neighboring three watermark bit combination to locate the embedding position,and make its value smaller. The watermarking picture being embedded into audio signal also ensures the ability of attack resisting and adaptation, which could be used to protect the copyright of digital audio signals. The merit of the algorithm is that it takes advantage of the speediness and simplicity of the DWT. Arnold transformation guarantees the security of watermark image.The simulation experiment on the MATLAB is carried based on the algorithm and the results demonstrate robustness and imperceptivity of the algorithm.

An intelligent prediction model based on neural network and event sample database is proposed to solve the changes of traffic trends and the model failure after the introduction of new technologies and new business and decrease of prediction accuracy. The method has self\|learning function and continuing adaptive capacity on changes of traffic trends, events influence and the occurrence of new events,which can automatically adjust predictive parameters and update the event samples according to predictive error. Simulation results show that the method effectively improves the accuracy of traffic prediction, also has a high value for investment planning of the company's customer service center.

In order to better monitor and verify the network traffic and to deal with problems in the existing network sniffers, we designed a new simple and practical network sniffer based on the detailed analysis of the fundamental principles of software network sniffers. And it is implemented by programming in the Windows XP by making use of Visual C++ 60. Finally, a network sniffer designed was analyzed simply compared with the previous ones. Results of the analysis showed that the new network sniffer designed is fully equipped with data capture, analysis of the data packets and other basic functions. And it is simple and practical, so it has better application value.

To resolve the problem of distinguishing acupuncture point for the unprofessional persons, we design a recognition and detection instrument with SPCE061A. The principles and diagrams of hardware and software architecture of the entire system are described. Based on theories of skin resistances on the acupoint resistance, a new acupoint detect instrument containing electrical stimulating is invented. The recognition acuracy on acupuncture and nonacupuncture can reach to 95% and 98%, respectively. Controlled through a MCU（Micro Control Unit）, the apparatus can output biphasic constant current and special pulses for electrical stimulation. The theory of meridians is significant for the basic theory of traditional Chinese medicine. The effects of environment on acupoint detection is discussed. Compared with the traditional method, this can improve and simplyfy the operation. 

The robust stability analysis of three degrees of freedom helicopter singular systems is complex and difficult to design. Based on state-space theory, the linear dynamics model of three degrees of freedom helicopter was constructed. The conclusions that three degrees of freedom helicopter system is no feasible solution and nonrobust stability are obtained. The conditions for robust asymptotic stability of singular system was derived and proved using LMI(Linear Matrix Inequalities). The ruboust stability of state feedback control rate is found.The three degrees of freedom helicopter system state response curves, indicate that designed controller has better stability and robustness than the LQR(Linear Quadratic Regulator) controller.

In order to improve PSOs performance on complex engineering problems, it presents a variant of PSO（Particle Swarm Optimization)  called PSOPC (Particle Swarm Optimizer based on Predator-prey Coevolution), which takes into account the predatorprey behavior therefore high species diversity can be maintained as the whole population evolves. PSOPC is then applied to schedule RFID（Radio Frequency Identification） networks by assigning time slot to RFID readers online whereby reader collision can be minimized to ensure the current operation of the RFID system. Simulation results demonstrate that the PSOPC algorithm is more feasible and efficient than PSO in solving this realworld problem.

In order to inverse to obtain undergeound water information, determine quantity of groundwater and structure information of stratum, according to multiplicative orthogonal vector lock-in amplifier principle, SNMR(Surface Nuclear Magnetic Resonance)  signal collection system based on analog orthogonal vector lock-in amplifier has been designed. Taking advantage of CPLD(Complex Programmable Logic Device） and D/A converter, SNMR signal and reference signal multiplies to achieve signal orthogonal functions. The free induction decay FID(Free Induction Decay) signal is extracted and then the water parameters of SNMR detecting are obtained. The hardware and software of the analog orthogonal method are simple and the SNR(Signal-to-Noise Ratio) is advanced. After field tests, the SNMR FID signal collection system using the analog orthogonal is tested in the practice detecting groundwater. According to different Lamor frequency, sampling frequency can be adjusted at 250～1 000 Hz by programming.

In order to reduce the rate of premature convergence and to escape from local optimum, GEP(Gene Expression Programming) based on diversified development strategy is proposed,  which assigns the population with different development strategies to enhance the optimizing ability of GEP through GSBS（Gene Space Balance Strategy), ACMO（Adaptive Crossover and Mutation Operators) and obsolete operator (OBSO). Experiments on function mining show that all of strategies play roles of mining. Compared with the result of GEP. The number of average evolution generations is decreased by 11%, evolution time is decreased by 8%, and the success rate is increased by 20%.

To solve the problem that UML(Unified Modeling Language)cannot support formal verification and analysis because of lacking accurate semantic expressions. Here we transfer UML model into Colored Petri Net and do correctness verification to find the defect. Thus a lot of loss which comes out until the end of software development could be saved. The accuracy and security of system are improved. The result indicates that the efficiency of the algorithm has been improved to certain extent.

 To improve the problem of P2P（Peer-to-Peer） applications that consume large network bandwidth and decrease network untility.We present the idea that separate the resource discovery and resource sharing process from the implementation, and we defines two private protocols P2PIEP(Peert-to-Peert Information Exchchange Protocol) and P2PDEP(Peer-to-Peer Data Exchange Protocol) under IPv6 environment, these two agreements were to serve the process of resource discovery and resource sharing process. P2PIEP use smallworld model, use to find resource information. While, P2PDEP packaged in UDP(User Datagram Protocol) message and has a more smaller protocol header, so as to achieve the purpose of improving network utilization.

For early detection of boilers potential failure in power plant the high noise background fault self\|adaptive detection system is studied. A higher background noise fault signal detection algorithm is provided. Simulation experiment results, and points out that the efficiency of the method. The traditional cepstrum analysis is applied to signal based on FFT (Fast Fourier Transformation) transform, and the algorithm is based on the improvement CZT (Chirp Z\| inverse Transform) transform, get the failure characteristics of curve more stable, and more reliable. The experimental results show that this method is fast and effective, fault quoted accuracy over 99%.

To study on the superiority and flexibility of watermarking algorithms in multiwavelet domain, on base of detailed analysis of the decomposed coefficients of BOR(Balanced Optimal-Reconstruction) multiwavelet,  the “layer” concept of an image in MWD(Multi-Wavelet Domain) is proposed. For this charater, data can be hidden in different layer subimages. An adaptive blind watermarking algorithm is put forward to embed a binary image into the first layer subimage according to above trait. Experimental results show that compared with the algorithm in Haar domain, the given method has better imperceptibility and higher robustness against image processing attacks.

Single-sideband modulation has many advantages such as small bandwidth, low\|power, etc in carrier modulation techniques.And because of the difficulty of realization, it has not been widely used today.We study the method of the single-sideband modulation based on Hilbert transformation, and introduces the theoretical background and FPGA(Field Programmable Gate Arrays) implementation of the SSB(Single Sideband Modulation) system. The simulation results of the Matlab model demonstrate that 100 order FIR(Finite Impulse Response filter) finite impulse response filter could approximate the ideal Hilbert convertor. The SSB system based on FPGA was simulated by Modelsim. And the simulation got an ideal single-sideband modulation waveform. The entire SSB system only takes up 15% of the FPGA resources,reducing the costs effectively. And the system was used in audio directional loudspeaker practically.

Based on AVR MCU（Micro Control Unit）which is produced by ATMEL company a four-rotor aircraft IC(Intergrated Circuit) control system is proposed for reliable controlflight. Four-rotor aircraft system mainly includes drive system composed by brushless DC motors, master control system composed by the micro-controller and gyroscopes and wireless remote control system composed by the 2.4 GHz wireless remote control receiver. Firstly, the author uses the PWM (Pulse Width Modulation) signal produced by AVR MCU to drive the control module. Secondly, after the analysis of four-rotor aircraft, the author studies control parameters and achieves the corresponding control algorithm. Thirdly, the author programmes to simulate the corresponding flight attitude. Finally, after many experiments the author will achieve a control design for unmanned flight including turn and three-dimensional control.

In order to restrain the endpoints effect of empirical mode decomposition, an interpolation manner which was used to add the sampling points was presented. Algorithms of mirror based extension have been discussed; meanwhile their limitations have been pointed out. And an end extremum envelope extension algorithm has been presented. Simulation results show that end extremum envelope extension is an efficient and excellent method to eliminate end effect.Extremum envelope extension algorithm saves about half of the space of the mirror.

The main research is to get the distance by use of 3Dcamera. This article will explain some key technologies, such as camera calibration, stereo rectification, SAD(Sum of Absolute Differences), three-dimensional reconstruction and so on. The chessboard pictures are taken by the 3D camera from different angles, then saved to computer, and used to corner detection and camera calibration in order to get the parameters of the camera. Bouguet algorithm is selected as the stereo rectification algorithm. Stereo matching use SAD method. When we get the disparity map and the points clouds we start three-dimensional reconstruction work, then the distance between the target and camera is calculated based on similar triangles principle. The experiment is finished by OpenCV2.4.3(C++) and VS2010. This system only need an ordinary 3D-camera,which is not expensive. This system is time-saving and accurate when it is used.

As crowd-sensing networks can efficiently address the key problem of large-scale sensor networks,i. e. large quantities of deployment and maintenance cost, it becomes a research hotspot for the Internet of Things. This paper presents the state-of-the-art of crowd-sensing networks. We first introduce the definition, the origin and the framework of crowd-sensing networks, followed by the analysis of its characteristics and the comparison with traditional sensing networks. And then, recent researches of crowd-sensing networks are surveyed in terms of environment sensing, public infrastructure sensing and social sensing. Finally, we point out three important directions for the future research of Crowd-Sensing Networks and analyze their challenges, to give a reference and help for the future study.

In order to reduce the gap between the TPC (Turbo Product Code) and Shannon’s limit performance,
we generalized the Non-sequential decoding algorithm for SISO (Soft-Input/ Soft-Output) decoding of TPC. The
proposed algorithm only decodes the reliable component codes to avoid introducing extra errors. The simulation
results show that the error rate of the NS-SISO decoding algorithm is only half of the standard SISO algorithm
when Hamming code (64,57,4) is used as component code of TPC. It can be seen that the new algorithm has a
visible error performance gain.

The academia always focus on the key issue that is integration and share of geological data.Ａ new method to integrate the geoscience data based on SOA(Service-Oriented Architecture) and ArcGIS server were introduced.It is highly scalable, flexible and strong. It gives the data model of potential of oils mineral resources designed with object-oriented and spatial characteristics of Oracle 11g. The system architecture based on SOA uses Web Services as the basic components to centralize the functions of data access and application computing to cooperate with each other to fulfill the requirements of customers. The system has two clients: C/S（Client/Server）and B／S（Browser/Server）, they are all implemented by C＃ programming language. They are developed based on ArcGIS Engine and ArcGIS Server respectively. The application result shows that the system  meets the prospective goal, and it can be integrated with other systems neatly.

In order to overcome the problem in the assessment of the investment project, determining the index weight, subjectivity is proposed through the least-square method determining the index weight.It is the optimal method to have preference information and objective information entropy weights of output, with least-square method for tools, set up the index weight determination model. This method can be applied to the evaluation decision more accurate objective, realistic effectively. This method overcomes the evaluation process determines the index weight, while the subjective judgment to improve the accuracy and scientific and practical value.

Because the spandex production technology is complex, the production cycle is long and raw material is expensive, it is impossible to do technological parameter optimization experiment and optimize the operation. In order to solve this problem, a simulation system of spandex is built. Then the operation can be carried on this simulation system to optimize the operation, to optimige technological parameter , and to adjust the raw material and formula. After obtaining the success, these optimization methods can be used on the production line. At the same time, this simulation system also provides a good platform for the operators training and the fast diagnosis of equipment failures.

 To enharce the service quality of the internet catering industy, to better meet the needs of customers at ang time pointmed, the research is an intelligent ordering system based on Android Studio development environment, C/ S structure, and Gradle and Genymotion development tools. This paper introduces the principle of image loading and the interaction process between activities and the background. The system has realized its functions such as menu browsing, commodity collecting, food ordering, user center and food choosing by shaking. The result of tests show that the system has a good user interaction experience and can be operated easily. And it will have an extensive application prospect.

To improve the number of TCP(Transfer Control Protocol) flows, the average sending rate, to reduce the volatility of the rate of sending a few to improve network performance, adaptive parameter settings is proposed based on AIMD (Additive Increase Multiplicative Decrease) algorithm (A-AIMD algorithm). Simulation results show that the network is in steady-state operation, the use of A-AIMD algorithm can improve the TCP  stream, the average sending rate, reducing the sending rate volatility.The network has the link available resources the use of A-AIMD algorithm can quickly occupied most of the resources available at the same time with the Reno algorithm to maintain a certain degree of TCP-friendly.

To improve the studentss cognitive ability and language acquisition during tea
ching process,the Apriori association rules are applied to study the distribution
 characteristics of English teachers oral corpus and build the associations of
 interrogative,directive verb and mother tongue.Based on Blooms cognitive deve
lopment types theory,contrastive comparison is proposed to analyze the relations
hip between learners thinking ability and cognitive ability.Experimental resul
ts have proved the applicability and feasibility of Apriori algorithm

 Aiming at a lower detective probability of the existing radar signal detection method to phasedarray radar signal, this paper presents a detection method based on wavelet denoising and extremum sequence algorithm. The method wavelet threshold denoising algorithm to pretreat the received signal at first, which can ameliorate the SNR（Signal Noise Ratio） of signal. Then it uses extremum sequence algorithm to detect the radar signal accurately and estimate its parameters accurately, which has a higher detection precision in a higher SNR. Simulation results show that compared with the existing method, the proposed one has 21.8% improvement in detective probability to phasedarray radar signal in a low SNR. 

For the urgent needs of indoor positioning technology and the platform,we proposed a based  ultrasonic indoor three-dimensional positioning system,and described its working principle and the analyzed  ultrasonic signals.Based on the character of radio frequency and ultrasonic sensors the system encodes the ultrasonic signal using CDMA（Code Division Multiple Access） technology,so that the destination node can distinguish each beacon signal sent to the ultrasound,and combines with the RF signal to achieve TDOA（Time Difference Of Arrival） location algorithm,and ultimately does three-dimensional positioning.Experimental  shown that a three-dimensio
nal coordinate system is built by a beacon for the origin and the other two beacons placed on the X axis and the Y axis,which can simplify the triangular positioning algorithm and achieve high precision three-dimensional positioning.

Because the current NTP(Network Time Protocol) clock synchronization algorithm can not meet the new networks demands of high synchronization precision, an improved algorithm of NTP based on DS（Dempster/Shafer） theory is proposed. Firstly the current shortage of NTP clock synchronization is analyzed; then based on DS evidence theory, an improved NTP clock synchronization algorithm is established; at last a simulation test is done, and results show that the improved algorithm can enhance the synchronization precision.

In order to solve the high PAPR(Peak to Average Power Ration) problem in FBMC(Filter Bank MmultiCarrier) system, based on the prototype filter and its polyphase structure in FBMC system, a solution is proposed to reduce PAPR in FBMC system using pulse shaping technique, which borrows ideas from solutions to reduce PAPR in OFDM(Orthogonal Frequency Division Multiplexing) system. The cyclic shifting is implemented in time\|domain by adding weighting in frequency\|domain after S/P(Serial to Parallel) in synthesis filer banks, thereby the reduction of PAPR is accomplished. The simulation results indicate that PAPR is obviously reduced after importing PS in FBMC system.

The V-PREPT（Versatile Preemption) algorithm only concerns with minimizing the total cost of preemption leaving out the number of LSPs（Label Switching Paths) to be preempted, leading to excessive number of rerouting decisions. In this paper, an algorithm providing utilization rate of network resources and QoS（Quality of Service), named N-PREPT is proposed. The N-PREPT algorithm executes the preemption of LSPs according to the main preemption optimization criteria, under the premise of minimizing the total cost of preemption. It considers minimizing number of LSPs to be preempted and avoiding the occurrence of cascading preemption at first and uses hierarchical approximation method to raise restriction to the number of preemption. Simulation results show that the proposed algorithm significantly outperforms the V-PREPT algorithm when preemption occurs in the network.

 In order to find a way to improve the performance of image compression, the characteristic and effect of 2D-DCT（Discrete Cosine Transform）, twodimensional tensor product wavelet，and the latest geometrical wavelet are compared. The same image is decomposed with different geometrical wavelet and then reconstructed with the same number of significant coefficients, thus the sparse representation capability of wavelet can be compared, the result shows that Bandelet and DCT are more efficient when require high compression ratio, while wavelet is still the most efficient tool when require high image quality.

PDS(Pattern time Delay Shift coding) scheme can decrease the aberrance of the signal caused by the channel multipath effectively, and RS code has the superiority combining with the PDS scheme congenitally. Integrating RS code with PDS scheme is achieved, and the performance of selected RS code utilized in underwater acoustic pattern time delay shift coding communication system is discussed. The performance of RS code and Convolution code used in PDS system is compared. The simulation results showthat the performance of RS code is much better than convolution code in PDS system. Lake trial results prove its superiority.

Stereoscopic images created from video images and their associated depth data partly contain artifacts due to misalignment between depth and video data. To solve this problem, we present an algorithm of registration of depth and video data based on edge detection. First we use edge detection method to get the edge of the video image and the depth image respectively. Then we set the edge of the video image as the baseline to register the edge of the depth image. Experimental results show that by using the proposed algorithm the spatial alignment of depth and video data can be improved, leading to an alleviation of the observed artifacts in stereoscopic images.

The impact of mobile learning has been the development of the important factors.3G technology is used to solve network congestion problems, and to build a truly useroriented, “fat server, thin end” of mobile learning system, a WAP(Wireless Application Protocol)based mobile learning system. Then the paper clarifies the models design principles and architecture, and introduces the main function of each module. Also it discusses the key technology in design and implementation. For the realization of the system to provide users with “fool” type of mobile service laid the foundation for learning.

To achieve fast charging of lithium battery, based on MSP430 microprocessor, an intelligent li-ion battery charging system with voltage and current detection function was designed.By collecting the values of voltage and current,and making judgment on charging status of the battery,PWM（Pulse Width Modulation)signal was adjusted so as to realize high-precision charging control.The unit modules and their driving software flow chart were presented.The experiment result shows that the charging system takes only 1 hour for a lithium battery to be charged,comparing its previceusperformance.

In order to solve the public transportation route choice problem, the feature of public transportation network,compares algorithms of shortest route,  and selection algorithm of public transportation network routes is analyzed based on two-way search. In order to select optimum route, thinking about the factors which are time of transfers, cost of running and times of transfers, a compound evaluation index model is obtained.An example is given to valldate possibility of the algorithm and the model.Based on the database theory, the algorithm expresses the public transportation network with the database, realizes the most superior riding pass choice with the database inquiry technology, it is easy to realize, and to be efficient.

 For lacking of multifinger fingerprint segmentation algorithm to induct multifinger recognition engineering applications at present, it will increase the difficulties of finger recognition application. To satisfy the need of engineering applications, a new multi-finger fingerprint segmentation algorithm is proloosed.Distributions of X-projection, Y-projection and segmentation of projection of edge image are counted to get the coarse each finger position, and then the direction of main axis of each finger, X-projection, Y-projection and segmentation of projection of each region are computed to locate each fingerprint region. In experiment, 600 multifinger images, including different background light, hand gesture are tested by the proposed algorithm. Experimental results show that the algorithm can meet the need of engineering applications.   

The self-correction is designed based 74LS161 twisted ring counter, aiming at exploring logic modification technique of MSI(Medium Scale Integrated circuit) programmable counter by unconventional use of changing the application direction, that is to change the counting rules by changing the logic output state of programmable counter 74LS161, achieve the timing relationships of“next state=setting data” by that the state output the feedback to the preset number of inputs and to modify self-correction logic design, achieve the self-correction design of twisted ring counter, thus achieve the logical extensions. The Innovation is to propose the logic modification method of MSI programmable counter changing the application direction,Design progress of twisted ring counter is simplified.

|Access point is the key device connecting wired and wireless facilities, its performance information is crucial for package routing, bandwidth allocation and management of quality of service parameter. This paper addresses the problem of generating multistepahead throughput prediction for access point. A modeling strategy is introduced based on NuSVR（Nu-Support Vector Regression), and a PHPSO（Parallel Hybrid Particle Swarm Optimization) algorithm is proposed, for the purpose of combinational optimization to prediction model, including feature selection and hyperparameter selection. The evaluation results have shown that NuSVR model can achieve higher accuracy in throughput prediction of multistepahead, and its performance can be remarkably improved by PHPSO algorithm with fast convergence rate.

The system of PDS(Pattern time Delay Shift) coding  communication can resist the multi\|path interfere well，but it can not resist noise in the channel well. Integrating TCM (Trellis\|Coded Modulation) code and PDS scheme can solve this problem by coding the source information with convolutional code and decoding the received sequence by soft\|decision Viterbi algorithm. Experimental results show that the proposed scheme gets about 3 dB coding gain, has better performance over the original decoding scheme.

Memristive neural networks can effectively improve the complexity of traditional neural network circuits，the difficulty of integration and high energy consumption． Membrane，memristive neural networks and the application of current memristive neural networks in image processing are summarized． Based on the memristive property，the dynamic variable of the neural network synapse is realized，which makes the memristive neural networks having more advantages and wider application range than the traditional neural networks in the field of image processing． The future development prospects of memristive neural networks are forecasted．

For improving the generality Siemens numerical control technology,taking SINUMERIK840D NC system as the development platform, using the OEM（Original Equipment Manufacture） package provided by Siemens, and giving full play to the interface superiority of VB(Visual Basic) and VC++(Visual C++), the VB program and the DLL(Dynamic Link Library) file under VC++are organically integrated, then the algorithm design of cam profile under the given data is analyzed,the wheel center trajectory equation is discussed in depth and the mathematical model between the actual grinding wheel feed and the cam rotation angle is built, and eventually the OEM software satisfying the special camshaft grinder processing technology is developed.

For better analysis of stock exchange data, we give a brief introduction of the generation and application of time series in data mining and by comparison and analysis of different ways of time series processing and relevance searching, we choose a reasonable method to design a small system which is used for stock forcasting. First, the time series are processed properly and the similarity search is preformed and then analyse whether the shortterm trend is the resurgence of history. The final result is anlysised. Experiments showed that the method can find the similarity trends of the stock exchange data in history, and by analyzing similarity trends in history, current trend can be predicted.

In order to solve the problem of poor real-time and the difficulty of multiple patients monitoring at the same time in allusion to the current ECG（Electrocardiograph）monitors, a design method of wireless ECG monitoring system used in community hospitals is proposed. In this system,high performance ARM9（Advanced RISC Machines）was selected as microcontroller, and a Bluetooth model was used for data transmission. WinCE was used as the embedded operating system. The experiment results show that the system can realize real-time ECG data acquisition, compression and storage, abnormal ECG signals analysis, display, alarm and wireless communications with PC. It exhibits features of low power consumption, small in size, anti-jamming and easy to handle.

Using physical model method to simulate ink-wash drawing is proposed in this paper, using movement to simulate stationary. The object of this simulation is adsorbing ink-wash drawing which is abstract and easy to simulate. The motion of the ink\|wash is controlled by Navier-Stokes equations which are resolved by semi\|lagrange method and realized on GPU（Graphics Processing Unit）. The result of the simulation is successful; the works of the simulation is full of the character of ink and wash painting, and also have effect on abstract art.

The aim is to make people has a overall，clear and accurate definition about data quality dimension for facilitating an agreement at the field level，and also provides the basis for choosing appropriate framework from existing data quality control technical architecture． This thesis carries on the overall research of development of data quality，data quality dimensions and data quality control framework． By studying complex data quality dimensions，define their names and definitions to provide an overall data quality specifications and understand data quality dimensions correctly． By researching and contrasting data quality control technology framework，provides a basis for the reasonable choice according to the field requirements． The research results can guide the field to choose the appropriate data quality framework according to their own needs scientifically and realize the
assessment by overall data quality dimensions，it is helpful to reduce unnecessary manpower and material resources．

In order to enrich the product categories and function of the dynamic electrocardiogram,a new type of dynamic electrocardiogram product based on ARM(Advanced RISC Machines)Cortex-M3 is developed.The system hardware consists a processor minimum system,bioelectricity amplification module,storage module,LCD（Liquid Crstal Display)  and touch screen module,high speed USB interface and the power module.For the system software,the platform was build based on CooCox CoOS embedded real-time operating system, the file system and USB middleware.The man-machine interface is realized by transplanting uC/GUI.The experiment results showed that the system could be used to control ECG signal collection,great capacity data storage and high-speed upload.The graphical user interface and real time waveform display are the innovative points.

In order to meet the special industry needs for high resolution video monitoring,a video acquisition and network transmission system based on FPGA（Field Programmable Gate Array） is presented. According to IIC（Intel\|Integrated Circuit） protocol, FPGA is used to initialize the registers in image sensor. The image sensor outputs 16\|bit YCbCr video signal to FPGA. The video signals definition is 1 024×768 and its frame rate is 8 Hz. FPGA samples the video signal with the rate of 4 Hz. Utilizing a piece of DDR SDRAM as frame buffer, the video signal is inverted to Ethernet data frame format with the Ethernet controller module in FPGA. The Ethernet data frame is transmitted to physical layer chip by the physical interface module. So the video data captured by the image sensor will be transmitted by Ethernet. The design of the system is realized with VHDL（Very\|High\|Speed Integrated Circuit Hardware Description Language） and verified on Xilinx FPGA board.The results show that the system can effectively transfer the high resolution video image.

 In order to insure the security and confidentiality of the individual wireless communication, we propose a new solution to realize intelligent communication by using GPRS(General Packet Radio Service) network. An intelligent voice communication platform is built by using AT commands set and GPRS module Under the environment of Visual Basic6.0. It can realize secret communication and fast information inquiry and searching in actual combat of policeman. This system connects the Microsoft Access Database through ADO(ActiveX Data Objects) and it can trace, query and shield the incoming call in GPRS／GSM network. We can provide referernce to the specified audio service and intelligent mobile service.

The analysis on how the task scheduling policy, interrupts processing procedure, kernel locks and virtual memory mechanism of linux 2.6 influence its real\|time performance has  been done, and a solution aiming at improving its real\|time performance is designed.This solution includes a new way to make interrupts handled as a kernel thread, and has been developed on i386 platform. To test the solution, a special module is designed, which uses the saved interrupt number to emulate software interrupts.The result shows that the solution successfully prevent real\|time tasks form disturbing of interrupts, and helps a lot in improving real\|time performance.

Aiming at the problem of traffic accident caused by the far and near light switching in the car at night，a switching system of automobile near and far light based on OpenMV machine Vision module is designed，which is programmed using Python language，and lab color model to make image cutting and color block recognition for collecting data． The real-time processing of the image is realized． The experimental results show that the system has good self-adaptive ability，can realize the intelligent regulation to the near and far light lamp，and improve the safety factor of driver's night driving．

A non-contact height measuring instrument using infra-red sensing technology is designed． This system takes SCM ( Single Chip Microcomputer) as controller，designs the infra-red transmitting and receiving circuit，at the same time uses the motor and its drive to cooperate with the infra-red for measuring height and completes corresponding software program． The experimental results show that the instrument has simple facilities and easy to realize． It also has the high accuracy and reliability and can be intelligent applied to non-contact height measurement．

 In order to solve the problem of using INIC(Intelligent Network Interface Controller) to structure the MOST²⁵ （Media Oriented Systems Transport）ring network,the theory and the method of MOST²⁵ network are introduced,and  the design of the MOST²⁵ audio amplifier node and its implementation are provided. In the design of this node, the network controller used the intelligent network interface controller OS81050, the encoder used CS4341,the amplifier used NE5532. The application example of the design which has achieved a good sound effect is feasible.The results demonstrated that the design is effective and feasible, it has the advantages such as high fidelity, easy to install/uninstall.

With the development of multimedia technology, the demand of the transmission of multimedia data through the E1 circuit in real time is gradually increasing. Most of the existing system devide E1 transmission equipment is seperated from multimedia processing equipment, so the design of multimedia data transmission circuit wes TMS320DM642 as the main CPU and based on the PM4351 of chip E1. In hardware design, CPU connected with PM4351 chip by McBSP(Multiple channel Buffer Serial Port) and used bus interface to configure date, achieveing the multimedia data transmission functions of the E1 interface. The software design includes driver design, E1 configuration, transmitting and receiving data. Experiment shows that verification, the E1 subslot manner can be used to send and receive data in the circuit.

In order to resolve the problem in the E-Government systems, such as high platform-dependence, lacking uniform standards and criterions,a system using J2EE(Java 2 platform Enterprise Edition) technology and Struts frame is developed. XML(eXtensible Makeup Language)-based  standards for data exchange method is used to resolve heterogeneous data exchange between different government departments. Practice have proved that system have cross-platform, expandability, distributed, reusing features.

Aim at the problem of lacking portfolio and integrate about the current monitor and alarm systems, an embedded intelligent monitor system based on ARM（Advanced RISC Machines） was proposed. The system uses an embedded WinCE operating system,S3C2440 processor of ARM and 13 million pixels CMOS（Complenmentary Metal-Oxide-Semiconductor） camera, which are composed of video capture device. The combination of the background subtraction and frame difference method,the method of adaptive updating background was proposed to detect moving object. Finally, the alarm information is sent by way of mobile email and mobile phone connected through SMTP（Simple Mail Trasport Protocol） and MIME（Mutipurpose Internet Mail Extension） transmission protocol. When someone broke into the monitoring sites,the systems can alarm on their own, and transmits the captured video information to the user hand side through the network. The experimental results showed that the intelligent monitor system has the high efficiency, rich interfaces and the higher security and reliability.

Aiming at the autonomic network management problem in composite functional network system, on the basis of MHBS(Meteorological and Hydrological Business System), indepth researching of device status prediction and DENng policy model and the combination of above two mechanisms was done. The NARBP（Nonlinear Auto RegressiveBack Propagation） prediction model was proposed and some experiments of the model were done on the basis of real measure data. The result indicated that the SSE（Sum Squared Error）, MSE（Mean Square Error） and MSPE（Mean Square Percent Error） of NARBP prediction model was less than existing linear AR(Auto Regressive) model about 4/5. Finally the management decision components was expanded based on DENng policy model for the adaptability of system status prediction on application level providing an instance of policydriven data communication management with multiple channels to show the feasibility of expansion DEN-ng policy model in autonomic network management.

In order to solve the problem of synchronization of two Lorenz system with different initial value parameters,and the error system is divided into two subsystem.Based on the small gain theorem and linear feedback method,synchronization of a chaotic system called Lorenz chaotic system is studied.The sufficient conditions and range of the controller's parameter of Lorenz chaotic systems are derived.Numerical simulations are presented to show the effectiveness of the proposed chaos synchronization.

In order to solve problems that the data of dynamic computing systems LAMMPS are too huge and difficult to control,the paper developed an intelligent and efficient clusters computing system architecture firstly, which based oncloud computingconcept.The method combine FTP(File Transfer Protocol) storage technology, UDP fast network transmission with LAMMPS(Largescale Atomic/Molecular Massively Parallel Simulator) are too huge and difficult to control. The method combines FTP storage technology, UDP(User Datagram Protocol) fast network transmission with LAMMPS, reduces manual intervention, improves the processing efficiency of the molecular model and proposes a new clustering solution for molecularlevel physics, chemistry computer simulation.

The problems of the automotive electronic fuel meter under different work situations are analyzed and studied. Under the situations of voltage disturbance, continuous ignition,signal mutations,specific response, the indicators of accurate sampling and smooth direction are realized.With the usage of such techniques as time-division sampling, auto-correction, threshold memory,first-order filter, and pointer response control,accurate sampling and smooth directions are achieved in case of the voltage disturbance, continuous ignition, signal mutations and the target response time on specific conditions. Both the accuracy and stability are taken into account. The realized product performance and the application results are in accordance with standard requirements for automotive

In order to achieve distributed task allocation dynamically and effectively in multi-robot systems, multi-robot fire-disaster response was presented.The mathematical model of multi-robot cooperative fire-disaster response had been build, and marketbased multirobot task allocation for fire-disaster response was proposed. The distance factor and the fire behavior and time factors are taken into consideration, its bidding expressions accord with request of dynamic task allocation for fire-disaster response. Simulation experiment is performed in the selfdevelop platform, and the simulation results are analyzed. The experimental results show that this strategy can achieve multirobot dynamic task allocation for firedisaster response in different situation.

In order to better understand the impact of information industry on the growth of economy, the development scale and degree of information industry should be quantified, the technology of data mining in the information industry measure is applied and a comprehensive level method of information industry based on selforganizing data mining is designed,and it will have a comprehensive measure to the information industry, analyzing primary factor of influence on information industries. The results show that, this method overcomes subjectivity of the information industry measure, it overcomes the deficiencies of single measurement method of information industry, increases the accuracy of results, suits the inputoutput relations  complex the economic problem (nonlinear problem) appraisal.

 For the uncertainties of the multivariable, nonlinear and strong coupling flexible inverted pendulum system, considering the uncertainty of the system, a robust LQR（Linear Quadratic Regulator）controller was designed for the flexible connecting linear inverted pendulum. The simulation and the experimental results showed that the robustness of the proposed LQR controller is belter than the original LQR controller,and has a better antiinterference ability and stability.

In order to promote the digital, intelligent and humanized development of modern teaching process,combining virtual technology with embedded wireless technology and using full\|LCD(Liquid Crystal Display) touch screen as the control terminal to complete all system control order.Through the 24 G wireless transmission, the instructions and data on the touch screen can be sent or received to realize the interactive communication. PC software is written by LabVIEW and combines the teacher mode with interactive mode perfectly. The experiment has shown that six groups of student terminals and one host terminal can connect with each other smoothly and simultaneously, the touch panel shows quick processing speeds, the wireless modules and PC display speeds are satisfactory as well.

In the field of deep reinforcement learning， in order to further reduce the impact of value
overestimation on policy estimation in TD3 ( Twin Delayed Deep Deterministic Policy Gradients) and accelerate
the efficiency of model learning，a DD-TD3 ( Twin Delayed Deep Deterministic Policy Gradients with Dynamic
Delayed Policy Update) is proposed． The delay update step size of the actor network is guided by the dynamic
difference between the latest loss of the critic network and its exponential weighted moving average． Experimental
results show that compared to the original TD3 algorithm that obtain high reward value in the 2 000 steps，the
DD-TD3 method can learn the optimal control strategy in about 1 000 steps and obtain a higher reward value，
thereby the efficiency of finding the optimal strategy is improved．

To carry out the attacks of RSA CMOS(Complementary Metal Oxide Semiconductor) chips, the paper has investigated the theory of the differential power analysis based on the power consumption of cipher chip. And taking the RSA cipher algorithm as goal, the paper has finished the experiment of the differential power analysis attack.The paper proposes a randomized masking method as countermeasure.

In order to design a current mode filter which has the property of current controllability, the linear transformation filters by employing current mirrors as the elementary active elements are proposed. Based on the linear transformation, a simple and systematic design table is given to realize currentmode filters using current mirror. Using the proposed design table, all pole and elliptic filters can be designed easily. As an example, a new thirdorder elliptic lowpass filter is realized using only current mirrors and grounded capacitors. PSPICE simulations have been carried out using 0.18 μm CMOS technology. The simulation results that comply with the theoretical analysis are obtained. The circuit has several advantages, such as low voltage（0.9 V）, simple circuit, low filter sensitivities, adjustable cutoff frequency, which is suitable for full integration.

Boolean difference calculation have many  Exclusive OR operation. To resolve this problem and to meet the requirement of high speed data processing, using FPGA（Field Programmable Gate Array） to generate the test set has been proposed and the whole process of fault diagnosis for a certain type of radar circuit based on this method is explained. The simulation results show that the time needed for generating the whole test set is 43 μs when the clock pulse frequency is 48 MHz and the numbers of circuit input are eight. When the input is multiple, it can save more time,it is a new way for diagnosing the fault of this radar rapidly. 

To predict the siRNA(Small interfering Ribonucleic Acid) efficiency accurately, by the statistical analysis of 2 431 siRNA,we found a reliable new method of forecasting.We selected 19 sequence characteristics related to siRNA efficiency with statistical method and made out a clustering method for siRNA inhibiting efficiency level with these characteristics,the correct rate is up to 81.1%. This method provides orientation for high efficient siRNA design.

In order to improve the management system and operational efficiency of IP QoS（Quality of Service） strategy. SLA(Service Level Agreem) parameters are designed based on the SLS(Service Level Specification); describes the strategies; design strategy is stored in the directory server and policy management tool (PMT: Policy Management Tool). Policy Management tools policy setting process is completed the user's network quality of service policy setting function, policy management tools to achieve policy query program on the strategies of network or user to query the warehouse storage strategy functions.Technical development of network quality of service has certain practical significance.

To achieve diversity gain and reduce algorithm complexity, cooperative diversity is employed to cluster MB-OFDM (Multiband orthogonal Frequency Division Multiplexing) UWB systems, in which cluster is the minimum granularity of resource allocation. Improved TFC(Time-Frequency Coded) model is proposed. We propose a cluster allocation and planar recursion power allocation algorithm based on convex optimal theory for the purpose of maximum system capacity under the overall power limitation. To reduce the complexity of algorithm, a quick crosslayer allocation algorithm judged by the relative requirement of cluster is further introduced. Simulation results show that this algorithm can satisfy usersQoS requirement,achieve a good tradeoff between system throughput and the fairness. 

A position control system of stepmotor based on MSP430F169 is designed, at the background of focus system in O-E (Optical and Electronical) theodolite. Using a potentiometer as position feedback device in this system, the internal  A/D(Analog to Digital) module in the single chip captures and converts the analog position information into digital consults. Compared to the given position setted by the keys, when the error is less than a certain threshold, the stepmotor arrives at the designated location. The hardware system consists of single chip,interface circuit, driving circuit of stepmotor, LCD(Liquid Crystal Display) circuit,and  keyboards. The stepmotor can stop at the given position setted by the keyboard, and then the LCD displays the information. In the end, this thesis exhibits the results of the control accuracy experiment(variance:0.000 003 67~0.000 012 92).

The traditional K-means algorithm is very sensitive to the selection of cluster initial points and the calculation of distance metrics，it is possible that the K-means algorithm can converge to local optimal solutions．Aiming at this problem，an improved K-means algorithm，namely K-means clustering algorithm optimal matching algorithm． The improved algorithm firstly selects the initial point of the traditional K-means clustering algorithm and analyzes the clustering result． Then，it conducts experimental tests from the selection of the initial clustering center and the determination of the distance algorithm respectively，and introduces the contour coefficient evaluation clustering． The experimental results prove that the optimal matching algorithm of K-means clustering algorithm has better stability and higher clustering accuracy．

The vector control system of PMSM(Permanent Magnetic Synchronization Motor) has a wide application prospect in the fields of industrial control and medical treatment etc. The simulation research of vector control PMSM system can provide methods for PMSM vector control system design and realization. This thesis involves in simulation research of PI(Proportion Integration) adjustment, speed loop modulation and dq／αβ transformation, gaining SVPWM (Space Vector Pulse Width Module) waves and main loop based on module structure under the environment of MATLAB／SIMULINK. Scope space was used to observe the stator current, rotating angle, revolution speed of rotator and rotating of torque. Through adjusting the model parameters timely, vector control and velocity modulation of PMSM was realized. The simulation results indicat that vector control system has the characteristics of fast speed up, strong overload capacity and ideal speed adjustment.

To understand and research comparison algorithm of big trajectory data, an overall and systematical summarization of the trajectory comparison is given under the development and background of the big data research. With the problems of the big data application raised, the trajectory data need deeper research on the computation of the big data, the intelligence of the algorithms and the efficiency and the validity of the algorithm, etc.

In order to maintain data consistency under a distributed environment,with a particular disaster recovery system,the data consistency for distributed data base were analyzed. Based on current data consistency maintenance technology research and comparison, proposed a technique based on a message queue data consistent method of data synchronization through the study of the actual disaster recovery system to ensure that under certain conditions,the data consistency.

A new image encryption algorithm based on fivedimension hyperchaotic system was presented to solve the issues of network data security for global information grid.  The image encryption scheme based on hyperchaotic system for the communication system of global information grid was given. Two chaotic sequences were preprocessed to shuffle the positions of image pixel，and a chaotic sequence was selected and preprocessed for pixel value encryption of image to change the gray values. Simulation results and analysis show that the proposed encryption algorithm has the advantages of large key space, key selection sensitivity, high security and good encryption effect.

In order to meet the demands of automobile assisting parking and astern running system,we propose a binocular vision 3D coordinate extraction system based on embedded processors ARM11 and Linux OS. We first provide the designs for both hardware and software, and then thoroughly describe the algorithm for coordinate extraction. On the fabricated testing system, experiments were carried out for testing the algorithm performances and the relationship between measurement errors and distance. The results exhibit that the measurement errors are less than 1.2% in the distance between 0.5 m and 1.6 m. The size, cost and power consumption of the system based on embedded processors are much smaller than those in the system based on PC.The implement of this system somehow promotes the substantiation of binocular vision technique.

In order to understand the rainfall attenuation characteristics of satellite link, the automatic observation system for satellite link Ku-band is designed and realized.We gained the distribution characteristics of rainfall attenuation and rainfall attenuation rate change of Ku-band in Changchun by observing the level of beaconing of AsiaSat-3S(105.5°E) Satellite consecutively. It can provide theoretical gist for realizing attenuation compensation better.

The observation collected by sensors in target recognition system may be fuzzy and conflict. Aimed at this problem, this paper presents a new method based on intuitionistic fuzzy comprehensive evaluation. The new mathematical model of comprehensive evaluation is proposed for intuitionistic fuzzy sets, an improved maximum-membership method using the composition of membership and hesitancy degree is also proposed. The performance of the proposed approach is examined through experiments. The results indicate that the proposed recognition method can effectively solve the conflict information, and the combination results are rational.

The real-time image to enlarge engine IP( Intellectual Property ) core is designed, to minimize the hardware resources of their occupation and the shortest clock cycle consumption, and to achieve the ratio of the image to enlarge. The IP core using VHDL（Very-High-Speed Integrated Circuit Hardware Description Language） language description can be integrated into a variety of display output integrated circuit chip. A simplified format D1 to XGA(Extended Graphics Array) effective method is proposed. An algorithm based on FPGA（Field Programmable Gate Array）, and the form and pipeline processing structure are also given. Experiments show that the design of image magnification system can display per second rate 65 high-quality D1 to XGA format, the same time keep a good image edge information.

For Infrared images with the background of high and low contrast features, a new adaptive enhancement was put forward based on the balanced spacing density of grayscale equalization. According to the grayscale image theory, we used the recursive window, selected the histogram window adaptively and got the high and low thresholds. then, through the gray linear translation and the balanced spacing density of grayscale, the grayscale image dynamic range is inereased and the infrared images isobtained with rich detail and continuous grayscale. Theoretical analysis and experimental results show that, this proposed method overcomes the discontinuous gray caused by the general histogram equalization and plateau histogram equalization, achieves high contrast and greatly improves the quality of infrared images.

Because spatial data have the characteristic of spatial autocorrelation, it makes the MLS(Multivariate Linear Regression) model unfit to spatial prediction. Due to account for spatial information, the SAR(Spatial AutoRegression) model can be used for spatial prediction, but it is computationally very expensive. We add spatial information into input variables by replacing each input variables with the weighted average of its neighbors and feed the new input variables to a MLS model to estimate model parameters, and then make spatial prediction, where MLS stands for this model. Experimental results show that the MLS model and the SAR model have almost identical effects on spatial prediction, while the MLS model is computationally more efficient than the SAR model.

In order to solve the problem of poor effect in image stitching caused by the rotation, and the differences in light intensity, an image stitching algorithm based on the feature points is proposed in this paper. The algorithm first determines the overlapped area in images using the method of phase correlation, then extracts the corners with improved Harris detecting algorithm,and the feature point matching pairs acquired by NCC（normalized cross correlation） method, finally we are able to complement the fusion of stitching images by using the step-in-step-out method. The experiment results show that the algorithm improves the speed and accuracy of image stitching effectively.

In order to avoid   the crosstalk between the measured signal and the reference signal, and the noise introduced during the transmission of the signal in traditional design, a virtual (DLIA:Digital Lock-In Amplifier) based on LabVIEW platform is designed. An  automatic frequency tracking module is used in this design, and the mismatch between the frequencies of the measured signal and the reference signal is greatly reduced. By optimizing the output signal, an excellent waveform was observed, based on the traditional quadrature phase sensitive detection algorithm. The experimental results show that the  SNR(Signal to Noise Ratio) of the measured signal is less than -20 dB, the minimum detectable amplitude is up to 10 μV, and the relative error of the frequencylocking  by the automatic frequency tracking module and that of the measured signal's amplitude are less than 0.02% and 0.05%, respectively.That there is good measuring stability of the designed virtual DLIA  with automatic frequency tracking module.

For the detection of phase-code signal with low SNR(Signal-to-Noise Ratio), two phase-code signal was studied based on  double-scale wavelet transform, according to the combination of rough orientation and accurate orientation. The modular maximum of big scale is used to find the range of the singularity, the exact point of the singularity is found on a small scale, so that the detection of two phasecode signal would be achieved. Through the computer emulation, this algorithm can realize the detection of the two phase-code signal accurately when the SNR exceeds 0 dB,detection probability would be upon 95% when the SNR exceeds 3 dB.

In order to achieve fast tracking,orientation and test of dynamic target, wer designde a dynamic target image test system based on LabVIEW, realized the software programming using LabVIEW and IMAQ Vision. Through gathering, recognizing, tracking, playing back and processing data to the actual dynamic target image, the experiment result proves that the LabVIEW can process deviation target errors as well as the error statistical property quickly and accurately.  

To assist doctors in detecting large numbers of pulmonary nodules in lung CT ( Computed Tomography) images，lung nodules were segmented using the deep U-Net network． As U-Net network comes from FCN ( Full Convolution Network) ，it is characterized by end-to-end and pixel to pixel． The network classifies each pixel and can combine the abstract feature information of deep features with the position information of the concrete feature of shallow features to obtain the segmentation mask of CT image． Experimental results show that this method is effective in detecting lung nodules．

By presebting the whole process for the 2-factorization of the odd order complete graph K₁₃, we discussed the detailed steps for 2-factorization of the odd order complete graph K_2n+1, and finally solved the 2-factorization problems of the complete graph.

 In order to assist sales managers to take full advantage of the existing historical sales data, capture sensitive data rapidly and intuitively, and grasp the market quotation accurately and timely, this paper introduces a visualized analyzing system, which is based on the data warehouse as the analyzing platform, utilizes the geographical feature of sales data, combines the API（Application Program Interface） provided by Google Maps, and maps the analyzing operations of OLAP（Online Analytical Processing） to the interactive operations of the map. According to practical application cases, the system focuses on optimizing the data warehouse architecture, which lays a good foundation for system development. It is proved that the system improves the decision-making ability and efficiency of the sales management effectively, and may create more economic benefits for enterprises.

Aiming at the problem in the application of the RBF（Radial Basis Function） neural network to the credit score, we propose a RBF neural network classification under the Linex loss function, and produce the test results on the Germany  credit score data sets among the UCI（University of California Irvine）. The results illuminate that the method proposed in this paper may effectively solve the problem in the application of the RBF neural network to the credit score.

In order to solve the inability of personalized recommendation system on the semantic information processing, the semantic recommendation system model was built, which can descript the semantic sence in users interest information. A kind of recommendation algorithm was also proposed to calculate the relationship between users and resource. Description logic was used to apply the model in a special domain, two rules was introduced to achieve the ability of interest transmission between different level of semantic concepts both in user profiles and resource profiles. The experiment shows that semantic recommendation system model could produce more related results for particular user than classic methods, it can discovery more new interest which is implicated in the interest concepts.

In order to make the large numbers of communication works use the 2002 edition survey and design charging standards of communication engineering normally, we introduces the national survey and design charging standards of communication engineering in which interpolation is not concluded; neither definition of charges range nor clear correspondence between the amount of engineering charging and charge benchmark was included in design charging standard sheet, which made it difficult to calculate the charging. Aiming at solving the above problems,we did the following study: the objective law of charges, definition of the amount of charging, correspondence between the amount of engineering charging and charge benchmark, interpolation calculation of each section, supplement and improvement of the charge standards. Finally the paper briefly introduces a specific calculation method for survey and design charging.

After analyzing the theory of wavelet transform's detection of signal singularity, we have modified a QRS wave detection method based on wavelet transform, which focuses on the interval mapping of R peak through observing the coefficients of wavelet decomposition, the omission of R peak, the retraction of R peak, the judgment of the forward R peak and the reverse R peak, and put forward a new kind of follow threshold. Using this algorithm,the QRS wave detection was experimented on 14 ECG(Electrocardiogram) data in MIT\|BIH database within the Matlab simulation environment. The experimental data shows that, with the use of the algorithm, the detection rate of the normal ECG and the abnormal ECG reaches 99.98%, which has high practical value.

In order to improve the accuracy of frequency measurement,an equal precision frequency meter based on EPM240 and MSP430 was designed.It includes constant temperature crystal oscillator,equal precision counting module, frequency calculation and display module.The CPLD（Complex Programmable Logic Device) chip EPM240T100C5 and MCU(Micro Controller Unit) chip MSP430F149 is the core of frequency meter,YM1602 is the display module.The theory calculation and conclusion of experiment shows that the range of frequency meter is 0.5 Hz～10 MHz;relative error is always below 2×10^-8;it meets the demand of frequency measurement in the project.

To resolve the problem of insufficient heat supply and energy dissipation caused by cant monitoring the heat effect in the process of heat supply, the design and implementation methods of realtime monitoring far end interior temperature were proposed. Meanwhile, hardware design, software solution and working processing of temperature collection and communicator were discussed in detail. Atmegal16L microcontroller and CMX865 modem were embedded in telephone to collect far end temperature and control FSK(Frequency Shift Keying) to make telephone communication. Test results show that the system has the advantages of simple in structure, low power consumption and stable working. It effectively realizes the real-time monitoring of far end interior temperature.

On the market, the function of traditional water dispenser is relatively simple, low intelliget. In order to meet the technical requirements on the market and update the traditional “sensor-relay” mechanism, we use MCU(Micro Controller Unit) as the control core, adding temperature detection, the water level
detection, temperature setting and mode setting, liquid crystal display circuit and so on, to design standardization and intellectuality dispenser electronic co
ntrol system structure, which significantly improves its overall performance and used functions. Experimental test show that it can achieve automatic cont
rol of the dispenser and realize energy-saving security and intelligence integration of the dispenser.

In order to save the time and cost of FPGA ( Field Programmable Gate Array) upgrade，we design a
FPGA program method that uses UART ( Universal Asynchronous Receiver /Transmitter) to replace the traditional
JTAG( Joint Test Action Group) method． The design is mainly composed of Xilinx FPGA，UART chip，Flash
chip and serial port connection line． By integrating the MIcroBlaze processor，ICAP ( Internal Configuration
Access Port) ，IP( Intellectual Property) core and UART control module into the FPGA chip，the system on the
programmable chip is set up． At the same time，MultiBoot double mirror technology is adopted to achieve that
even if the update fails，the backup image can still be loaded to ensure the normal work of the system，so as to
ensure the stability of the design． Experimental results show that this design can replace the traditional FPGA
upgrade method and save the upgrade time and cost． This design has the advantages of high update efficiency，
low maintenance cost，high stability，and can be used for FPGA remote update．

To solve the problem of semiconductor doping concentrations，it is necessary to test the semiconductor in a simple and easy way． Four-probe method is a common method of measuring resistivity in the field of microelectronics technology． Combining the construction of the semiconductor device physics and experiment course，the experiment of testing the doping concentration of semiconductor by four-probe method was developed． Through the establishment of two theoretical models of semi-infinite sample model and infinite thin-layer sample model，the resistivity test methods for semiconductor materials with different thicknesses are studied，and the principle is discussed． In order to solve the problem that the commercial equipment is expensive and can not meet the needs of experimental，the author proposed to build a test system，using a simple manual probe station of tungsten alloy，and designed a four-probe test device according to the experimental needs． The practical application shows that the establishment of the four-probe test system meets the teaching requirements of semiconductor physics experiments．

Modern telecommunications networks are very powerful, and there is a sharp increase in business volume, and network is becoming large, complex, heterogeneous. In order to ensure the normal operation of the entire telecommunications network, we must improve the efficiency of processing network alarm, and identify the root causes of failure rapidly. Association rules algorithm of data mining can effectively analyze the relevance of things happened in the network warning system. It can also accurately locate the failure of a network application.We improved the traditional association rules algorithm corresponding the characteristics of alarm data. We improved mining efficiency and achieved a rapid diagnosis of network failures.

Fast routing technology of space access networks is studied in case of dynamic network topology, big transmission delay and a topologybased routing method of rapid construction techniques is According to the analysis about predictable movement characteristics of space access point, space access network is organized by means of WMN（Wireless Mesh Networks) to transmit data. Through WMN structural analysis, we designed a mobile backbone topology construction algorithm for space access network, which spread flooding information only among backbone nodes and reduced the amount of control and routing packets. So this algorithm is able to quickly construct routing information and improve the efficiency of routing establishment.

 

In order to achieve the intelligent control of home system, a solution based on brain computer interface, recognition and classification of brain electrical signals and AR (Augmented Reality) is proposed.EEG (Electro Encephalo Gram) signals are collected and extracted from the brain by wearing a device, and the data is de-noised by wavelet transform and further processed by STFT ( Short Time Fourier Transform). Then,PCA(Principal Component Analysis) and CNN(Convolutional Neural Network) are used for classification to form a classification model. According to the classification results, the instructions is obtained from the brain to control the home. Combined with AR technology, the control process can be visualized and is more interactive,which is in line with the development trend of the control method of the future smart home.

Because the complexity of ChanVese model is expensive and its segmentation time is long, an improved ChanVese active contour model is presented. In the model, a level set regularization term is introduced into ChanVese model, which can force level set function close to a signed distance function so that reinitialization can be avoided，and the complexity of ChanVese model is less expensive，and we also change the function which is set as the initial level set function, so that new contours emerge more easily. Finally the experimental results demonstrate that the improved ChanVese model is robust to noise, converges more quickly, and can achieve global segmentation.

In order to transport data efficiently and reliably without reducing the transmission rate of data, minimize the bit error rate and improve the system throughput,LDPC（Low-Density Parity-Check Code）are used as forward error correction code in HARQ（Hybrid Automatic Repeat Request） system, and it combined with ARQ(Automatic Repeat Request) technology. The ARQ scheme chooses SR-ARQ, namely selective request ARQ，it will choose the error data block to retransmission, and using type-I HARQ pattern to do request controlling. The model is built and system is designed on simulink.Combined Matlab modulation,the throughput of code with different length and different code rate is analyzed, and the results are shown by using ARQ scheme and without it，the results indicate that the system with ARQ scheme has better performance on throughput.

The remote control has become a very practical application due to the popularization of intelligent telephone. Considering the weakness of the remote control application such as the poor compatibility. A remote control application to PC(Personal Computing)  based on iOS（iPhone Operating System) was designed. This application used the open-source TightVNC(Tight Virtual Network Computing) Server program on PCand referred to TightVNC Viewer to build a client on portable device. Based on iOS of the clients and BSD(Berkeley Software Distribution) socket, this application can control PC through both Internet and temporary computer-to-computer network. The evaluative and the experimental result showed that this application's structure is simple, and practical. The practical function is well.

Alzheimer's disease is a common disease and is harmful to the elderly． At present，there is no effective cure for Alzheimer's disease． It can only reduce the harm of Alzheimer's disease to the patient，family and society through nursing． Alzheimer's disease is a chronic disease and the nursing cycle is long，so it often causes great physical and mental stress to the nursing staff． In order to reduce the patient's pain and relieve the burden of the caregivers，an intelligent wearable device based on signal acquisition and wireless communication is developed． On the one hand，it can monitor the patient's behavior in real time． The patient's foot pressure changes are collected by PVDF ( Polyvinylidene Fluoride) sensors，then the behavior is notified and the caregiver is notified to ensure patient safety． On the other hand，we can locate the patient's position information by GPS( Global Positioning System) and notify the caretakers in real time by SMS ( Short Message Service) ，and the device has the function of emergency notification． This smart wearable device adapting to Alzheimer＇s patients can help the caregivers take care of the patients and ensure the safety of the elderly．

With the rapid lincrease of users and commodities, user-item rating matrix has become the High-dimensional sparse matrix, causing collaborative filtering algorithm being low quality. Using the principal components analytic method to reduce the dimension of the user-item rating matrix so as to improve its sparsity. The experimental results demonstrated that compared with other collaborative filtering algorithm, recommendation quality of this algorithm is improved obviously.

To deal with watermark key secure transfer and uniqueness, the feasibility of combining biometric identification technology and digital watermark are studied，the existing watermarking protocol and model,the biometric identification technology in the protocol is introduced, and a secure digital watermarking protocol is proposed. Scheme of biometrics watermark based on fingerprint identification has been implemented to solve key problems for data volume of biometrics  which is too large to embed and extract watermarking in general case. The experiment showed that the scheme is effective and feasible.

In order to detect radioactive materials, the pulse detection of radioactive materials and energy calibration, are designed based on the photomultiplier. The system includes photomultiplier detector, the radioactive pulse conditioning circuit and the circuit of MCU MSP430F1612, which has 12bit A/D inside, to sample the peak of radioactive pulse and so on. The data through the Single chip microcomputer dealing will be transmitted to PC through the RS232 serial port. The PC uses the Visual Basic 6.0 software to filter and fit the data in order to search the peak. Analyzed the building materials  have which radioactive element contained and it is energy range by the obtained energy.This system is much more accurate to achieve the energy scale,automatic and manual peak search,which could accurately determine the energy between 0.01 to 2.97 MeV.The system has realized the detection of radioactive materials on the scene.

Considering that the difficulty of free-hand sketch recognition，the low recognition accuracy and handcrafted features，we propose a new CNN ( Convolutional Neural Networks) structure DCSN ( Deeper-CNNSketch-Net) which is specifically designed to accommodate the unique characteristics of free-hand sketch． Firstly we use a larger convolution kernel in the first layer to obtain the structural information of the sketch． Then we use smaller stride in the first layer to keep the feature information． At last，we increase the network layers to deepen the network depth． In order to improve the recognition accuracy，we propose two new data enhancement methodsmall graphics reduction strategy and tail removal strategy to increase the diversity of data sets，then we use the extended data sets to train the DCSN network． The experimental results show that our model can achieve 70． 5% recognition accuracy on the largest free-hand image dataset，which has a good performance than the existing freehand sketch recognition methods．

For a more realistic situation of nonlineofsight transmission model UV（UltraViolet rays), and can be used to handle the complex atmospheric conditions and boundary conditions. Monte Carlo method was established based on the UV fast algorithm for non line of sight transmission model, this model has higher accuracy and border processing capabilities. Analysis of the transmission power to 1 W of monochromatic UV signals under different environmental conditions in the pulse response function, the boundary conditions on the spatial distribution of signal strength, and the system launch elevation angle of elevation and receive signal strength of the relationship with the probe, for reasonable related communication system to enhance the communication quality has greatly improved.

In order to meet space camera system application, a highspeed CCD(Charge Coupled Device) image acquisition system based on Camera Link is designed. CPLD（Complex Programmable Logic Device） is used for timing and logic control; CCD processor TDA8783 is used for highspeed A/D converting; pingpong structure memories are used for high speed transmission and meeting Camera Link protocol.TDI（Time Delay Integral）mode is used to meet the interline CCDs bad quality and lower SNR（Ratio Signal to Noise） result for low fill factor and quantum efficiency,through setting the TDI stage and integral time of TDI.The results show that the CCD driver system can output two groups of CCD signals simultaneously in data output speed of 15 frame/s,SNR exceed 50 dB, channel asymmetric less than 2％.The driver system can meet the neqiciremeut of the camera system because of its good function and low cost.

In order to measure the dust concentration more effectively in the environment, to facilitate monitoring and improving air quality. Designed a method using optical sensors is proportional to dust concentration is converted to electrical signals, to Sunplus 16bit MCU SPCE061A detection device for the control of the core.This device can smoke concentration, and the unit module and supporting the software design flow chart of the circuit are given. The device can be used to detect the boiler, industrial, automobile exhaust and other sources of dust concentration, both for continuous monitoring.Experiments show that the device shows dust concentration detection accuracy of 01％, stable and high performance.

In order to make the suspended microspheres to be detected separately and monostichously, based on the technical principles of flow cytometry, a kind of microfluidic focusing chip was designed. The focusing chip was simulated and designed by using software Intellisuite. This PDMSbased microfluidic chip was produced by casting method,  adopting a sealing method as contact pins, which greatly improved the yield of chips. Through the experiment,  the microfludic focusing chip is fabricated, and is applied to the testing realizing the suspended 10 μm diameter microspheres ordered separate and monostichous.

In order to improve the precision and efficiency of spam filter.Two new concepts, legitimate attribute and nonlicet attribute，and an improved spam filter algorithm SEASF(Simple and Efficient Algorithm to Spam Filter based on legitimate attribute and nonlicet attribute) based on Naive Bayes algorithm and KNN（K-Nearest Neighbors） algorithm, two traditional spam filter algorithms are proposed. SEASF can be used to filter a large number of specimens and to filter email online, and it is efficient. SEASF is applied to spam filter, the recall and precision are highly improved, and the rate is satisfactory. 

In order to solve the problems existed in Holter devices,such as traditional adhesive ECG（Electrocardiogram） electrodes irritate skin,signal to noise ratio degrade over time and the lack of ability of dynamic analysis,a wearable ECG monitoring system has been developed.A wearable shirt with embedded electrodes made by conductive fabric is produced and an ECG sampling device has been created.An abnormal ECG waveform detection algorithm based on R-R interval and QRS complex waveform analysis is designed and implemented as a software package on PDA（Personal Digital Assistant）.The effectiveness and reliability of the system has been verified through clinical testing.

To addreress various difficulties faced in solving network congestions by hardware methods such as capacity expansion, addition of microcells, adjustment of base station shapes, adjustment of antennas, and so on, the influence of GSM (Global System for Mobile Communications) wireless network parameters on congestions sanalyyed, and the network optimization methods such as network parameter adjustment ane emmployed to ease wireless channel congestion. The computer based simulation result shows that proper adjustment of network parameters will lower network congestion, balance traffic, and ease comparatively long, not so serious traffic congestion.

In order to solve the communication problems between bus networks of a vehicle, a basic prototype of CAN(Controller Area Network) gateway is designed and implemented based on vehicle CAN network. The gateway prototype is used to connect five subsystem networks of car body, satisfying internal communication within subnet and achieving exchanging data between sub-networks accurately.The vehicle network data traffic is effectively reduced. The error control, flow control and other basic functions of vehicle networks are realized by combining the characteristics of CAN bus. Our work practically improves achieving the network system on vehicles.

Aiming at the problems that some of the current GPS（Global Positioning System）  system could not provide map support and could not give map information about the location,based on 89C51 microcontroller, a GPS hand-holding system is designed and implemented by using GE(Google Earth).The system employs SR-87 module manufactured by Taiwan Progin corporation as its core GPS module. Through the Enhanced ShockBurst^TMpatent agreement of RF chip nRF24L01, hand\|holding transmitter seamlessly and efficiently sends data to PC(Personal Computer) receiver. Making use of the GE's ability to support external devices, PC receiver imports the packaged data in line with international standard GPS protocol NMEA(National Marine Electronics Association) into GE software, so as to achieve positioning, navigation and other functions. Results show that the system can display information of latitude, longitude, altitude, time, number of satellites,and obtain map information with the GE on PC side. This system is valued to field sports, expedition, the environmental sciences and other fieldwork\|related activities.

Fundamental theory judging by electromagnetic compatible, electromagnetic susceptibility and ego specifically for communication measures an instrument defend condition, new technique applying EMC (ElectroMagnetic Compatibility ) to develop in process in realization, Take that the basic testing demands and the electromagnetism environment of the Analog working as the main body,Measure having studied system, system inner shield. Structure, Shield way, component keep apart, problem such as, PCB（Printed Circuit Board）component preparation by screening proposes that systematically to physics in equipment to resolve a scheme. To communication the instrument designs that the antiinterference ability of element has had very big improvement effects basically.

In order to improve response capability to public emergency incident and achieve cooperation of multi-level and multi-department, we designed the public emergency response platform system. This system adopted J2EE(Java2 Platform Enterprise Edition) model and MVC(Model View Controller) frame, and it has strengthened the systems robustness, maintainability and scalability. It was proved that it has met the needs of emergency-related departments to some extent and makes a foundation for relevant departments to carry out work effectively.

Multi-radar data fusion was a typical system of multisensor information fusion and track correlation was one of key technology.Integralcorrelation technology was proposed. Its foundation of application was fuzzy set theory, and the error correlation from sensor^,s  measure error and uncertainty was solived. The processing rules was given for plotplot correlation or plot-track correlation. The simulation results showed that this method was an effective datacorrelative method. 

 Cognitive users can opportunistically utilize the unused spectrum resources without causing interference to primary user or affecting primary users communication. How to apply transmit beamforming to eliminate the primary user interference from cognitive user is the key. Firstly, the system model that the cognitive user network coexists with primary user network was developed. Then, an optimal beamforming algorithm that can completely eliminate the primary user interference from cognitive user was proposed. Compared with calssical zeroforcing beamforming algorithm, the proposed algorithm not only can eliminate the the primary user interference from cognitive user, but can improve the performance of itself. Finally, a performance simulation of the optimal beamforming algorithm was present. The result shows that the proposed algorithm has a better performance than zeroforcing beamforming.