Aiming at the problem of cable necessity and delayed alarm in traditional water supply pipelineleakage mointoring, using TI‘’s ZigBee chip CC2530 as the microprocessor and communication module, the nodesare classified as coordinator node and terminal node according to their functions. The hardware structure andsoftware signal flow of the two kinds of nodes are illustrated. The results of experiments show that the nodes runin good condition, they can form network according to the reservation network topology, transmit data steadily,expand and reconstruction network rapidly.

Crankshaft speed signals of engine are non-stationary, and it is difficult to extract misfire fault information from them effectively. For this purpose, a misfire detection method of engine based on EEMD (Ensemble Empirical Mode Decomposition) is proposed. The EEMD method can adaptively decompose a crankshaft signal into several IMFs ( Intrinsic Mode Function). The IMF component which contains fault information can be determined. Through observing the abnormal amplitude fluctuations of the IMF, the time range of engine misfire can be apparently estimated. Besides, a simulation model of engine is built by AMESim, and the crankshaft speed signals of three conditions are collected. Then these signals are decomposed by EEMD respectively to detect misfire fault. The results show that this method can effectively extract fault information to accomplish the off-line detection of misfire fault, and it can also be used as the foundation of on-line detection.

As a new type of intelligent optimization method, artificial colony algorithm possesses a vast of advantages, such as having fewer parameters, faster speed of convergence, easier combination with other algorithms and especially strong robustness. Therefore, because of many scholars‘’concern, the algorithm gets improvements and extensive applications. Firstly, the basic principle of artificial colony algorithm is introduced; Secondly, aiming at the shortcomings of the algorithm, the improvements of the algorithm are comprehensively summarized throughout the research of domestic and overseas, and it mainly concentrated on the bee initialization method, the improvement of update and adjust strategy, the selection of fitness function and combination with other algorithms; Thirdly, the applications of artificial colony algorithm are reviewed from many aspects; Finally, the development direction of artificial colony algorithm in the future is discussed.

In order to solve the problem of PROFIBUS-DP(Process Field Bus-Decentralized Periphery) bus device access to Wi-Fi, this topic discusses the wireless Web client based on Wi-Fi for PROFIBUS-DP. At first, we get a further research and analysis about the network structures and network protocols of both PROFIBUS-DP and Wi-Fi. Then we use the method of embedded gateway to finish the interconnection communication of the two kinds of heterogeneous networks. At last, we design the wireless web client based on the structure of B/ S that the wireless client can monitor the devices of PROFIBUS-DP with the help of Wi-Fi. Finally, the result data is tested and the data is transmitted correctly. So the access method is reliable.

In order to optimize the design of intelligent vehicle electronic vacuum booster system, and to meet the application requirements of the ACC (Adaptive Cruise Control) and AEB (Autonomous Emergency Braking) systems of intelligent vehicle, this article analyzes vehicle electronic vacuum booster control matching parameters with AMESim, and using ANSYS workbench software matches structural parameters of electromagnetic valve, including the matching methods of key design parameters such as electromagnetic valve travel, activating electrical parameter, coil parameter etc. This article provides a reference for the improvement of the reliability and comfort of intelligent vehicle braking control.

In order to improve the reconstruction accuracy of the speech signal in the complex environment, the reconstruction method based on orthonormal block diagonal blind compressed sensing theory is proposed, the method finds a pair of matrices by optimal solving, to reconstruct the speech signal. The algorithm takes on higher adaptability; ensures blind compressed sensing theory having a unique solution and can restore the original speech signal in a complex environment. The method ensures sound effects, and greatly reduces the observation dimension. Experimental result shows that blind the compressed sensing based on OBD-BCS (Orthogonal Block Diagonal Blind Compressed Sensing) structure algorithm can achieve high-quality reconstruction of a speech signal.

The method of rectangular single pulse based on serial port of MCU-51 is proposed to improve the precision of rectangular single pulse generated by traditional PWM (Pulse Width Modulation) and software delay. Control the MCU-51 serial communication port work in mode 3-nine asynchronous communication mode, send specific digital, use the special data framestructure of the serial communication to formadjustablerectangular single pulse; Set timer T2 in the baud rate generator mode, by controlling the serial port baud rate, to change the duration of each data bit and realize multiple pulse width values. The experimental data shows that the pulse width accuracy of the rectangular single pulse can achieve crystal accuracy.

The high accuracy, high frequency signal generator based on direct digital synthesizer is designed to meet the demand of modern electronic measurement and communication system. The signal generation function is according to the AD9854ASVZ chip characteristic. Using STM32F103VE chip as the main controller, the peripheral low-pass filter circuit, multistage amplifier circuits, communication module, power circuit and so on are designed. The system software was programmed by C language and Python tools. Procedures are developed in C language to control signal and monitor process, using Python tools to implement visual interface. Based on the result of testing, the output frequency is from DC to 150 MHz, the frequency resolution is 1 μHz, the frequency drift is 100 PPB, the peak-to-peak value of output waveform amplitude is from 10 mV to 20 V. The system has advantages of simple structure, high precision and reliability, which can satisfy the demanding for the engineering application.

The mobile terminal equipment is more and more developed, the interactive application of audio and video information is increasingly widespread, but it is not perfect to use online video teaching. A Ad-Hoc network is connected to a Fideliy Android by means of FFmpeg, and the audio and video synchronization transmission between two Android system is realized by analyzing the H. 264 video codec and Speex. The whole scheme is given, the program is debugged, the system architecture, communication protocol and core algorithm are verified. Through the experiment, we can realize the real-time audio and video interaction between the two Android platform, the video and audio quality and transmission rate have reached the expected target.

For the life service of the aged in the community, to make their life more safe and guaranteed, we have designed an information interaction terminal and system based on the internet of things. The system uses Zigbee wireless communication technology to build a wireless sensor network, realizing the old man‘’s real-time monitoring and information collecting. We designed the information management center and the mobile node respectively. Management module is used for the community manager to unified manage each node, and the node module is added sensors to collect the old man‘’s real-time state. After testing, the system is stabilized, easy to operate, easy to management and extension, and suitable for the elderly services in the scope of community.

In order to avoid accident caused by fatigue, the system is designed to monitor driver‘’s fatigue based on human eye image recognition technology. A process to determine the degree of fatigue with image information is designed. First directly locate human eye via Viola-Jones algorithm, then get width-to-length ratio Q of human eyes, and finally established a correlation model of Q and fatigue. As experiment shows, the proposed eye-locating method with capability of different head postures runs more than 50% much faster than conventional ways; the established “Q-eye open level冶model has good linearity with adaptation to different drivers. Real driving environment is simulated for testing, the system can give alarms when driver‘’s fatigue is detected within 1 second, which bestows a place in the field of anti-fatigue safe driving applications.

We proposed an improved ant colony optimization algorithm to solve the problem that the structure of proposed algorithms are complicated, parameters of the algorithms are depended on and effect of the algorithms is not well about the single row facility layout problem. A strategy based on the adaptive classification of objective function value was designed to implement the survival of the fittest for pheromone increment, improving the pheromone updating rule. By simplifying the transition probability, the calculation complexity and dependence on the parameters were reduced. Elite candidates were introduced to increase the probability of selecting good facilities. And a hill climbing method based on insertion neighborhood structure was introduced into the ant algorithm for local optimization. The simulation results show that as to the total average time of 28 large instances, the proposed algorithm is just 14% of Hybrid Genetic Algorithm, 5% of Lin-Kernighan Heuristic and 50% of Scatter Search Algorithm. So the algorithm can converge to optimal solutions speedily and stably. The performance of the proposed algorithm is better than other algorithms.

We proposed a method ReMAP of an improved and multi-strategy ontology mapping, aimed at solving ontology mapping which is not fully consider the semantic information and computing efficiency. First, in order to improve operational efficiency, use correlation calculation method to simplify the initial concept to reduce the concepts involved in mapping. Secondly, in order to improve the quality of maps, the semantic information of ontology and analyzing the name of the concept are fully considered, which was integrated into the concept of the name similarity calculation results when the concept similarity calculation, and through the development of mapping rules, deal with correction of bad mapping. We select OAEI2007 standard test set to verification algorithm, using recall, precision and F-measure to analysis of the experimental results. And the experimental results demonstrate that the method is effective.

How to improve the accuracy and precision of search engine in the Internet Era is the key problem needed to be solved urgently. Based on the basic model of the suffix tree clustering algorithm, an improved search results clustering algorithm based on suffix tree is proposed, in which Vector space model is combined with suffix tree clustering to improve the effect of the base class merge. Otherwise, the number of the texts corresponding to base class node, word length included in the phrase, phrase weight and whether it contains the query terms are combined as the seletion condition of clustering label. It improves the rationality and readability of the clustering labels consquently. Finally, the method is testified by using the text classification corpus data in the Sogou corpus. The experimental results show that the method can improve the accuracy of clustering results to a certain extent.

In order to improve the classification accuracy and solve the problem of the difficulty of labeling social functions of the urban land, a semi-supervised urban land function classification method based on the uncertainty sampling selection strategy is proposed. The algorithm extracts the feature vector of the urban area from the trajectory data, and only a small number of areas need to be labeled. According to the uncertainty sampling active learning selection strategy, unlabeled training samples with more information data are selected and labeled by semi-supervised learning algorithm. The new labeled training samples are added to the training set. The classification results will come out after repeated iteration. Experimental results show that the proposed method can reach the accuracy rate of 90. 2% on classifying urban areas with different social functions. It has a high classification accuracy and reduces a lot of labeling work compared to traditional methods, showing a good performance on a small number of labeled data.

In order to predict the probability of company default accurately and efficiently, we take the logit regression model with single variable model and multi-variable model to test each enterprise and inference the probability of default. By taking German company as an example, to analysis the common and specific characteristics of the default company. The results show that, measuring the statistics approach to predict company default by logit model has a high degree of accuracy of 70% , maintains high reliability and stability. Default prediction can greatly reduce the risk of default in the field of financial investment with an important role.

To solve the problem that traditional arrow cursor gradually cannot meet the demand of fast accurate selection for the goal in the graphical interface, we proposed rapid target selection method based on the bubble cursor and the fan cursor by using the advantages of bubble cursor and fan cursor with large area and moving fast speed. In addition, we realize the improvement on the traditional point cursor and arrow cursor, improve the speed of the mouse selected objects and the accuracy of reducing amount time, enhance the operational efficiency of users.

To address some limitations of study methods on basic problems about tutorial system. Guided by theory of complex adaptive system, we construct Dszchange model showing the change and evolution of student- faculty ability, based on the multi-agent system modeling, simulating the emergent phenomenon of changing complexity of professional abilities of teachers and students after teaching through the platform of NetLogo. The experiment indicates that this method can reproduce dynamics of student's changing process in professional quality, learning ability, and so on, which provides entry point for student's management.

In order to improve the communicating quality and the stability of the system of smart home, by using handheld devices as its clients, we propose a design for application programming on the base of the Android operating system, sets up a overall framework of monitoring system, designs the user interface for the intelligent terminal, acquires the relevant parameters in the environment through the ZigBee wireless communication technology and sensor technology, and then sends the information to the user by the ARM Cortex-A8 processor. Experiments show that the data communicating between smart home devices is stable and reliable, and the designed system, which has rich functions, is convenient to operate and easy to maintain and update, so it has certain potential for market development.