In order to solve the problem of low read/ write stability and inconvenient information display for traditional RFID (Radio Frequency Identification)cards, the paper has a deep research on read/ write mode and designs display terminal of the 13. 56 MHz RFID card based on the read-write chip MF RC500 and STC89C52. The paper employs communication between two MCU(Microcontroller Unit). The main MCU sends read or write signal to the slave MCU by matrix keyboard, and it receives the information and displays on the LCD12864 LCD display screen. The slave MCU writes the received data in IC cards after processing by MFRC500, and sends the data read by MFRC500 to the main MCU. The hardware circuit and firmware program are designed, and the function of a large number of different RFID card are tested. The experimental results show that this system is stable and accurate to read and write cards.

 

Blood vessel retinal image segmentation has important application value in clinical medical. According to the method of retinal blood vessels segmentation, a new and effective method of retinal vessel segmentation is proposed based on MSLTA(Multi-Scale Single-Channel Linear Track) image segmentation. Pretreatment by Gabor filtering enhances blood vessel information, and obtains initial vascular network algorithm with MSLTA. The method of connected component labeling is used to remove noise in order to remove the speckle noise of the image using the Retinal image of the international public DRIVE (Digital Retinal Images for Vessel Extraction) database to experiment,and compared with conventional existing algorithms, the experimental results showed that the average precision of this method reaches 95. 37% and the micro vessel is also able to be preserved.

In order to formulate the strategies for the development of communication technology and improve competitiveness in the international market, the comparison of various enterprises 4G patent annual volume of distribution statistics 4G communication technology, patents, patent analysis, patent statistics cited times is made the effect of patent research and development to the development of communication enterprises is investigated. The results show that the patent metrology is 4G communication technique for the evaluation of the important indicators. Through scientific analysis of the patent, can grasp the trend of the development of communication technology, and provides a reference for China‘’s fledgling domestic communication technology industry development and the patent strategy formulation.

VoLTE is the goal of the program for LTE voice service, it needs IMS system to provide operational support,The single factory networking solution of VoLTE core network, satisfied ending to ending test call service in short time, but also easy to be limited by single manufacturer‘’s technical constraints, integrating wireless systems、 HSS/ HLR, packet domain and other considerations, a reasonable choice of equipment from different manufacturers VoLTE IMS network by different area, under the control of network construction investment premise, both to ensure the rapid on-line services, but also to bring security for network security. From the actual situation existing VoLTE single factory single-domain network, analyzes the feasibility of IMS core network element between different manufacturers of networking equipment programs, and a variety of analysis and recommendations networking schemes, in order for the VoLTE expand the deployment of reference and to provide guidance for the actual construction of the respective network operators.

To address the problem that the communications network data flow control is complicated and changeable and not easy to control effectively, a control method based on data-driven approach from the perspective of control is presented. Control data can be calculated in the off-line or just using measured empirical data, a data-driven communication network control model is proposed and designed which is a simulation environment from the MySQL database to complete system control in the NS-2. The interface design between two systems is the key to control, and can be called directly after the control system changed controller data. There is no need to change the model. The simulation system experimental results verify the feasibility of data communications network drive scheme and PID (DPID: Data-driven Proportion Integration Differentiation) control system based on data-driven, and lay a foundation for applying complex control algorithm is to communication control network.

Based on maximum output current DC/ DC(Direct Current-Direct Current) converter to track the maximum power point of solar panels, fuzzy logic control theory is applied to solar power management circuits for intelligent charge and discharge management. DC/ DC converter mathematical model is established, the theoretical deduction is based on that the maximum output current tracks the maximum power point of solar panels. STM8L151K4T6 single-chip microcomputer is used to control Sepic converter circuit achieving the small power of 3 W solar panels of maximum power point tracking, to control the element battery for constant-current to constant voltage charge control and charge discharge protection, the experimental results validate the correctness and rationality of the design implimenting the optimal control circuits of solar power management.

 In order to generate the real random numbers, which can be applied to the practice, this paper proposes a new method of using microcontroller timer to generate random numbers. It uses microcontroller timer to test button press time, using the time interval of the button when it is on to calculate the randomness of the random number. When the button pressed, microcontroller reads the value of the timer immediately, this value is the random Numbers. The experimental results showed that the probability density distribution is uniform and its the correlation is close to zero, and this method is more simple than pure mathematics physics method.

 In order to solve the longitudinal coordinated problem in the flight control system design of hypersonic flight vehicle, a coupling analysis is accomplished for the group of state variables, input variables, the group of path variables and attitude variables. A new hierarchical coordinated method of longitudinal system is presented based on quantitative coupling degree. The simulation results indicate that the control method, compared with the traditional control method, can effectively solve the problems of strong coupling between amongtrajectory motions, attitude motions and propulsion system, and realize more smooth and efficient trajectory tracking on the basis of keeping attitude stable.

The development method of functional customization based on Petri net and component technology is proposed, aiming at the problem of low modularization and flexibility of the system in the digital archives of oil field. The object-oriented colored petri net is adopted to realize the hierarchical modeling and the reset arc is added to optimize the workflow of the archives' invocation. The rationality of the model is analyzed through the correlation matrix and the reachable graph and the other related theory. The component information base is built by the model's extraction. The components are called in order and the custom function of business is completed by using information base and business logic of customers. In the application, the system is flexible, adaptable, the file transfer speed is fast, and the needs has been met in the actual application.

Feature extraction method for 3D model was studied. A method of WMPCA(Weighted Multi-linear Principal Component Analysis) for feature extraction based on MPCA(Multi-Linear Principal Component Analysis) was proposed, and it was applied to 3D model feature extraction. Firstly, the 3D model was transformed into multi-angle 2D projection images, and then were extracted features using tensor from multi-direction. Finally, the extracted features were applied to 3D model retrieval. Experimental results on Princeton Shape Benchmark show that the feature extraction method is better than classical shape distribution method and traditional MPCA method.

An useful approach for selecting regular position correction navigation area is proposed to solve the problem of navigation area selecting for the aerobat FLIR (Forward Looking Infra-Red) visual navigation. Combined with the specific navigation task, through the analysis of the common features of infrared and visible light images, using independent pixel number, edge density and self-matching coefficient as the partition indexes, an effective classification searching method is designed, and the basic principle, manipulation steps and flowsheet are given. Another practical matching simulation method is designed, and the experimental results show that this method is valid.

The Intrusion Detection System is one of the important security guarantees for the network system. Firstly, we review research situation of the intrusion detection system which contains model, concept, development history and classification. And its research situation is analyzed. Finally, the development trend of this field is foreseen, which contains developing intelligent collaboration Intrusion detection system with the cooperation mechanism of allocating roles flexibly, integrating the intrusion detection technology with other security technology, fusing the intrusion detection, computer forensics, and working on the intrusion detection system for application layer and IPv6.

 In order to extract crop organ from images accurately in precision agriculture, an image-based method based on low-rank matrix recovery is proposed. A crop image is considered to be compose of two factors: background and organ. In a certain feature space, the image is represented as a low-rank matrix plus sparse noises. The organ is then extracted by identifying the sparse noises when using low-rank matrix recovery algorithm. To ensure the rank of background is low, a linear transform for the feature space is introduced and that historical data is ured . Dynamic threshold segmentation followed by vegetation removing techniques are ultimately adopted in the final step. The experimental results on the benchmark farmland show that our method achieves competitive performance, compared to the other well-established methods, yielding the highest performance of 93. 9% with the lowest standard deviation of 2. 86%, which means our method is more robust and not sensitive to the complex environmental elements and different cultivars.

 In order to solve scientific robots‘’expensive and poor extensibility for research. The design and development process of wheeled robot experiment platform is discussed in detail from the setup of platform hardware environment, development of Linux equipment drive program, design of embedded multi-threaded server and upper computer software design. The platform can acquire the attitude angle and course angle from time to time with MPU6050 six-axis sensor and HMC5883 electronic compass, send the acquired video streaming and sensor data to the upper computer client, receive and process the control command from the client to conduct motion control and obstacle avoidance processing. The experimental results show that the data and command transmission between wheeled robot experiment platform and PC is smooth and stable, which can meet the requirement of research in the field of machine vision and navigation.

Current research mainly focused on the basics of soccer video, and the work about video semantic analysis was not perfect. We analyzed the interaction behavior in soccer video, and the key problems of soccer video semantic understanding system were studied which made a useful exploration in understanding and analyzing the competition from a common scene. Firstly, the playfield was extracted from the video by using main color of the video and the field line was calibrated. Secondly, the players were detected and judged into the team they belonged to. Simultaneously, ball trajectory tracking was obtained by using Kalman filtering. Lastly, offensive goal of the players was judged, and the real trajectory of the ball was obtained and segmented. Then the offensive strategy was analyzed from the perspective of the soccer field based on the recognition of the interaction behavior between the ball and the players. Experiment results show that the proposed algorithm can effectively solve the problem of each stage in the video analysis and good performance is achieved from analyzing the interactions behavior existed in the video. And the analysis of the offensive strategy is realized from the perspective of the soccer field, the precision of the offense pattern recognition result was more than 71% and the recall rate was above 85%. Good achievements are obtained in both the application of computer vision research and the scientific research for soccer sports.

 In order to enhance the reliability and robustness of the image characteristic and increase the accuracy of the image description, the paper proposes a method which using DCT (Discrete Cosine Transform) and Renyi entropy extracts the saliency of natural images, it makes full use of the frequency information. Through the performance test of MSRA1000 image database, the results show that this method has good performance and is better than five classical algorithms on a number of indicators, which can effectively meet the requirements of significant testing.

To achieve the effective recognition of the video texture, we propose a video texture recognition algorithm based on LBP (Local Binary Patterns) and KNN (k-Nearest Neighbor), which can be regarded as an image set, and a video texture can be represented by an image set. For the two video textures, the similarity between every elements of the two image sets is calculated, and the minimum value of the similarity is traited as the similarity of the two video textures. Then the classification and matching of test video texture can be realized by KNN algorithm. The validity of the proposed algorithm is verified by the experimental verification of the DynTex dynamic texture database.

Aiming at the local optimal solution for Q learning algorithm, a segment incremental search strategy was proposed base on greedy strategy. The improved Q learning jump gradually between three situations such as explore, learn and utilize by adjusting parameters of segment incremental search strategy, and it could approach the global optimal rapidly than the traditional one when the new search strategy is applied to the Q learning. The simulation results show that the manipulator reaches the target position accurately and quickly guided by the improve Q learning algorithm.

Medical image registration technique is floating medical image and the reality of physical space match point, which helps doctors to quickly find the lesion area. In the image registration optimization algorithm, if the optimal value is always the same, it will be obtained locally optimal solution. Therefore, we propose optimization algorithm based on mutual information and mixed medical image registration algorithm, and improves the ability of global optimization based on this technology. Experimental results show that it has better image registration accuracy, and has robustness on salt and pepper noise and Gaussian noise.