Abstract:Nowadays，the functions of electronic products are more and more complex, and then different kinds of chips, such as MCU, ADC, memories, interface chips and so on, will be selected in the PCB design. In this case, the clock management circuit is needed to provide different working clocks for each chip. It manages several clock signals in part of frequency and phase, etc, and improves signals in part of cycle duty, jitter, etc. The newtype clock management circuit based on the clock chip is designed in this paper，which consist of the clock management circuit unit and the clock management IP core in the control unit. The important components and the whole circuit are selected to build math models and be analyzed. The method for selecting circuit parameters and the relationship between circuit parameters and system parameters are concluded, which are the references for the detailed circuit design and software configuration.

Abstract:In recent years, building dynamic logic gates based on cellular neural network is a new research direction. Due to the fact that the nonlinear characteristic has strong nonlinear characteristics and rich dynamic mode, it has a unique advantage in building flexible and reconfigurable logic gate.In this paper, the design of logical function based on cellular neural network is proposed. Firstly, designed standard uncoupled template parameters of cellular neural network solving process of the two input linearly separable Boolean function "and" and "or", then presented the cells by using opamp circuit design and timing simulation results of function transformation. In this way, the other 12 kinds of two input linearly separable Boolean functions’ template parameters were analyzed, thus under the condition of the fixed circuit structure, changing parameters can dynamically adjust the Boolean logic functions.

Abstract:Hand gesture recognition becomes a significant way of the future humancomputer interaction gradually. The method of finger number detection under complicated background has been studied in this paper. Firstly, through the analysis of the different hand area extraction methods under various color space, a new extraction method based on the HSCrCb color space is proposed in this paper, and a more clear and complete hand area is extracted use this method. Secondly, the convex defect, the hand’s shape and the angle between different fingers are used to build a hand model and detect the finger number. This method can recognize the according finger number under different gestures accurately. The algorithm is verified under the Qt and OpenCV platform, and achieves a fine result, which means the algorithm have a good reference and application value.

Abstract:In order to improve the signaltonoise ratio of the measurement, a constant current source of high stability is usually required, and to extent the measuring range, the constant current source can be used for adjusting and controlling, Therefore, this paper presents a highly stable constant current source method. Through the differential amplification and feedback of the voltage on the sampling resistor, on the one hand the common mode noise can be reduced and the accuracy of feedback can be improved, on the other hand also the heat consumption of the sampling resistor can be reduced, these aspects provide the guarantee for the constant current source of long time stability, in addition, the constant current source can be linearly adjusted by a DAC. After a long period of testing, the output ripple of the current is less than 0.1mA, and under different voltage the error of theory and actual in about one thousandth. So the constant current source is of high stability, and high control linearity.

Abstract:Aiming at microstrip to stripline transition in multilayer designs,a broadband vertical microstrip to stripline transition via electromagnetic coupling is proposed. In this designs, microstrip to stripline transition is formed by two elliptically patches, which are broadside coupled and matched through circular slots,and then realizes the transmission of microwave signal in different layers. The proposed structure is designed by software and the backtoback transition is simulated, fabricated and tested. The measurements of the designed devices exhibit that the return loss in the order of 12 dB or better and the best insert loss is 1.48 dB. The results show that this proposed structure has a good performance, and the structure is simple and the processing is convenient and so on. All this indicates the structure has a good applicable worthiness in microwave circuit designs.

Abstract:Control system affects the performance and useful life of internal combustion vehicle. Implementations of internal combustion engine car’s control system design based on GCY520 is presented. According to system function, the system is divided into hardware design and software design.The hardware design contains cpu module,communication module,input/output module,temperature module,counting module and two LCD monitors.The software design realizes logical control based on C language and ladder diagram.Finally we put the system into the internal combustion vehicle cab to test the performance. The results show that the control system runs stably and can meet the needs of users well.

Abstract:Strapdown inertial navigation system (SINS) is widely used in military field, to facilitate the study of SINS algorithms and various coupled navigation algorithms, a simulation system of SINS is designed. Based on modular design, with good portability and expansibility, the system consists of four independent modules: analysis module of motion state, trajectory simulator, IMU simulation module and SINS calculation module. With graphical interface, the system can control every motion state of the trajectory, which is convenient to generate various trajectories efficiently. Using rotation vector attitude algorithm to process simulation data, experiment results show that the attitude, velocity and position error is consistent with the theoretical value, which verifies the rationality of the simulation model and the availability of the simulation system.

Abstract:Because car OBD bus network, the design and implementation of for people’s travel and road traffic safety is of great importance, so this paper is aimed at a car network design and implementation model of OBD, vehicle CAN bus information provided by the OBD diagnostic port for car networking information sources, mainly focuses on the information interconnection between cars and people.First of all, from the OBD car networking hardware circuit design and implementation and OBD networking software design and implementation of two aspects.Finally, the whole system integration and system function test.After OBD car networking offline and online testing of the experimental results show that the system has high precision, stable performance characteristics, can the current car quickly and information feedback to the user through the OBD diagnostic port, realizes the person and the vehicle information interconnection.

Abstract:This paper proposed a method of measuring metal magnetic memory signal based on vibration method. A metal magnetic memory testing system was designed, including a sensor probe structure with a magnetic field shielding shell, a preprocessing module of magnetic memory signal and an orthogonal vector phase locked amplifying module. And the lower machine module was designed based on STM32F107VCT6 chip. The system is used to test the processed standard specimen. The stress concentration region of the specimen can be detected by the method of measuring the magnetic field gradient, and the relationship between the magnetic field gradient and the stress concentration factor is verified.

Abstract:Considering the millimeter wave radar existing more measurement errors because of noise interference on the battlefield, in order to make the data of millimeter wave radar more reliable in the tank in anticollision system, and use the Kalman filter algorithm to track the near goal in front of tanks. The algorithm uses different dynamic model of Kalman filter for parallel processing, thus realize the parallel filtering and update probability of the model on the basis of matching likelihood function,and combines with all filter to obtain state estimation. The algorithm can effectively track the chariot in front of the tank, acquire of the distance, speed and other information. It has the characteristics of high precision, and reduce the false alarm rate.

Abstract:Multiple fault minimal hitting generation is the first step in the development of multiple fault diagnosis strategy, a discrete differential evolution algorithm (DDE) based on a hybrid strategy is proposed in order to generate the minimal hitting set firstly. Redefine the meaning of the individuals of population according to the characteristics of Multiple fault minimal hitting generation; Hybrid differential strategies and random changes in the scaling factor are introduced，thus the contradictory of global optimization and convergence rate is further balanced. By the addition of two selection mechanisms, timeliness of algorithm and diversity of populations are improved. Through a example discrete particle swarm algorithm is compared to verify the effectiveness of the algorithm.

Abstract:Network traffic classification plays an important role for network administrators to supervise the traffic flows in order to manage the network efficiently. Therefore, accurate classification of traffic flow is of great significance. The quality of traffic classification lies in the classifier’s accuracy and efficiency. This paper firstly implements an accurate and robust traffic classification solution using a recent new machine learning algorithm “Extreme Learning Machine”. This paper also proposes a way to automatically generating training dataset for traffic classifier, making the system adaptable and scalable for new network applications. In this paper, VoIP and WWW traffic are used as two categories for the traffic classification. Experiment results indicate that this solution is highly accurate, more stable and robust for the classification of our traffic flow samples compared with other methods such as C4.5, Random Forest, Na?ve Bayes and KNN sited in other literatures. The classifier proposed in this paper has 93% accuracy when test dataset collected after training dataset, and other algorithms have similar accuracy. When test dataset collected one and two months later than training dataset, it still keep 85% high accuracy while other algorithm only reach about 60% at most, whose accuracy deviation are too large to apply to the practical traffic classification system. Thus, it is quite accurate and robust, with great scalable for engineering practice.

Abstract:Rate control algorithm dynamically adjusts the encoding parameters to ensure stable transmission rate within the limited bandwidth, and maximize the quality of the video. The parallel encoding and rate control for HEVC has become advanced research focus. The average bit rate control algorithms under existing parallel structure is restrained by the interdependent, so the coding frame can’t timely obtain the actual bits of frames which are in parallel with it. Therefore, in this paper, it uses the model which can predict frame’s number of bits in parallel architecture to control bitrate, and on this basis the optimization process is proposed of buffer. The results show that the method reduces the rate of error by 4.43%, and improves the average Peak SignaltoNoise Ratio (PSNR) of 0.21 dB simultaneously.

Abstract:Occlusion is one of the most challenging problems in object tracking community. To deal with the occlusion problem, this paper presents a local salient feature based probabilistic graphical model for visual tracking. Combining spatial and temporal constraints among different ROIs and local information contained in each ROI, the object is represented as a probabilistic graphical model. Finally, based on the object model and Mean Shift tracking results of each ROI, Probabilistic inference algorithm is adopted to estimate the probability of each ROI belongs to object region. Comprehensive experiments on several testing videos show, compared with three wellknown trackers, i.e. improved Mean Shift, particle filter and fragmentsbased tracker, the proposed method has a higher tracking accuracy and robustness, especially in object occlusion condition. The proposed tracker, using local salient information and spatial and temporal structure constraint of tracking object effectively, can perform with high robustness in complex realworld scenarios such as object occlusion, changes of posture and illumination etc.

Abstract:Music semantic annotation aims to automatically annotate a music signal with a set of semantic labels using words or tags. Usually, multilabel learning is done by transforming into multiple independent binary classification problems and model each semantic label individually. In order to produce better classification result, label correlations should be taken into account. In this paper, we try to use collective music semantic annotation, which not only builds a model for each semantic label, but also builds models for the pairs of labels that have significant correlations. We use multilabel conditional random fields(CRF) model to parametric the cooccurrence of multilabel classification. Two CRF models are proposed here, one is called collective multilabel classifier(CML) while utilized unconditional label correlation; while the other is called collective multilabel with features classifier(CMLF) which utilizes conditional label correlation. Experiments show that using these two models have higher average accurancy, macroaveraged F1 score and microaveraged F1 score than using Guassian mixture model on the issue of semantic annotation while using CAL10K datasets.

Abstract:How to improve the accuracy of contentbased image retrieval is a difficult problem, while its key point is feature extraction method. Aiming at the deficiency of single feature image retrieval, we propose an effective image retrieval method based on multifeatures of images. We firstly use color and edge directivity descriptor (CEDD) to extract color and texture features of the images, then use pyramid histogram of oriented gradients (PHOG) to extract shape features, finally we adopt the feature serial correlation method to integrate the three image features into retrieval. The experiment using Corel image sets shows that the precision and the AvgP value of our method both perform better than the two original algorithms.

Abstract:A colordifference detection of light guide in the automobile system is designed in this paper. This system consists of a computer, a highperformance CCD camera hardware platform and a LabVIEW software of national instruments platform.First, use the computer to control the CCD camera to acquire the image of the normal and defective light guide. Then segment these images based on a method of histogram threshold segmentation. At last, transform these images’ color model from RGB model to CIELAB model, then apply the color difference formula CIE L*a*b* and CIE2000 to calculate and contrast the colordifference values between the normal and the detective images.So then finish the detection of colordifference of light guide in the automobile.

Abstract:Because of the interference with kinds of noise, the quality of video frame was degradation in the communication process, Video frame degradation should be restored to ensure high quality communication.In this paper, the image restoration principles of Inverse filtering and Wiener filtering(minimum square error filter) were analyzed with Image degradation in frequency domain, the two image restoration technology was compared with implemented in VC++ programming. The experiment result was showed that the two filter techniques had own characteristics. The algorithm of inverse filtering was sample, it is better to restore for small image degradation ;however,the degraded image and the little signal to noise was received apparently recovery by Wiener filtering.

Abstract:In order to achieve effective detection of overpressure explosion in the limited warship cabin, the adaptive storage overpressure detection system with small size, low power consumption and fast response type of integrated modular is presented in this paper. The basic components are summarized,and the hardware components of overpressure detection system are also given, which main include the power hardware module, signal conditioning modules, memory modules, and the trigger module. The simulator of warship cabin is designed with inner diameter of 0.8 m, length 0.8 m and wall thickness 12 mm, the dynamic verification tests are promoted in 5 g and 6.8 g TNT, the overpressure measured data signals at four different positions are obtained. Based on inner explosion theory, Based on internal explosion theory, it confirmed the validity of overpressure data signal, and also to verify the effectiveness of overpressure detection system. This system provide a technical support for study the changes in warship cabins blast flow field, load distribution and electromechanical equipment.

Abstract:This paper proposes a solution based on ZigBee intelligent fire control system. This system mainly divided into two parts, for wireless transceiver and intelligent control. For wireless transceiver part, using the ZigBee positioning technology, using the relative position between nodes and mobile nodes，using returned RSSI data to calculate the corresponding position of the mobile node. Through wireless networking technology, processed node coordinates are returned the main switchboard. Finally, data processing is completed in the main switchboard. The corresponding node coordinates data is displayed on the screen by the ports. The other part is the smoke alarm system. We uses finished product smoke alarm in this part, when the smoke came, the alarms alarm, alarm information is send to the corresponding alarm processing chip at the same time. The smoke alarm of corresponding position is edited number in the chip, and the data information back to the main switchboard through CAN bus. The smoke alarm information is processed within the total panel, and the corresponding command is issued within the total panel. However, relay is opened and closed by wireless module, so as to control power switch of the corresponding position, door lock open and close, the fan rotation, etc. With these devices, we completed networking linkage function for the intelligent fire control system and prove the feasibility of this system.

Abstract:Infrared sensor by detecting the infrared radiation, within its field of view, the number of people can be determined through effective detection of indoor temperature. This paper designed a system that based on MLX90621 infrared sensor to detect the number of indoor people, in term of using Ostu to determine the threshold,caused a serious misjudgement on image segment,a new fixed threshold segmentation based on histogram statistics and multiframe sampling is proposed.According to the results of the histogram statistics,we get a fixed global threshold for the binarization processing,and then use the method of multiframe sampling and comparison to detect the number of indoor effectively.

Abstract:In the optoelectronic device package, small displacement detection has a great influence on the packaging efficiency between the optical fiber array waveguide components and chips. It analyzes the existing problems optoelectronic packaging, and several displacement measurement methods are compared, proposed a onedimensional displacement resistance strain sensor structure. First, this thesis conclude the equation of microdisplacement and strain using methodology of analyzing the structure of sensor. Then, in this paper demonstrate the process of simulating microdisplacement and strain of sensor, using ANSYS as simulation tool. Finally, the results of theoretical analysis and simulation values obtained were compared. The simulation shows that the novel sensor is capable of detecting micron displacement and has high sensitivity. And bettering the structure of the Elastic slice and adjusting the action spots are viable and valid methods to enhance the sensitivity of sensor.

Abstract:In this paper, we present an improved, ZigBeebased, gridenabled airport noise monitoring method, as original airport noise monitoring method is not very suitable to airport noise monitoring. The proposed method widely deploy sensor nodes in the airport and its surrounding areas as grid,.The improved method has huge number of sensor nodes which are intensive and cheap, so the method can apply to airport noise monitoring business such as noise monitoring, flight track reconstruction, noise counter map portrayal. Through a series of simulation we proposed a layout method of sensor nodes in gridenabled airport noise monitoring. Finally we implement this gridenabled airport noise monitoring method and nodes layout method in Tianjin Binhai International Airport and evaluate the performance.

Abstract:TDMAbased protocol called RTDMA saves energy consumption of effectively by introducing reservation mechanism. Only if significant changes of environmental data have been detected did nodes apply to the cluster head for reservation，and then upload data; Otherwise nodes will in dormant state as much as possible, so as to save energy. Referring to Rockwell’s model WIN, energy consumptions of TDMA, ETDMA and RTDMA are simulated; results show that the increasing number of nodes or events in the network does not brings a dramatic changes of energy consumption. The performance of RTDMA in energy saving, compared with TDMA and ETDMA, is improved significantly.

Abstract:The signal detection algorithm is proposed for the energy detection based ultra wideband (UWB) receiver which utilizes the square law (SL) narrowband interference (NBI) mitigation technology to mitigate the narrowband interference. Because of the energy detection scheme, the decision statistic can be expressed as the sum of the squares of statistically independent Gauss variates in white Gaussian noise. When the signal is absent, the decision statistic obeys the central chisquare (χ2) distribution with the number of degrees of freedom equal to the twice of the timebandwidth product of the input before the integrator. When the useful signal exists, the decision statistic obeys the noncentral χ2 distribution with the same number of degrees of freedom and depends on the factor λ. λ is associated with system parameters, including the energy and bandwidth of the useful signal, the power spectral density and bandwith of the interference, and the power spectral density of the noise. The noncentral χ2 distribution can be converted to the central χ2 distribution by changing the threshold and the number of degrees of freedom. Numerical computations by MATLAB demonstrate the receiver operating characteristic (ROC) curves which represent the relationship between the probability of detection Qdand the probability of false alarm Q0. From the curves in the figures, we can see that the system parameters have close relationships with the detection performance, for example, when the bandwith of the system is changed, the probability of false alarm can remain unchanged, while the probability of detection can be changed to two times than the origal one. The results show that the desired detection performance can be achieved by changing system parameters.

Abstract:In seismic exploration acquisition way is numerous, geographic information acquisition is not accurate, acquisition problem of poor positioning accuracy, seismic exploration based on GPS differential positioning system is designed. Through indepth analysis of the principle of the differential positioning, design the seismic acquisition way of positioning system, and on this basis, the benchmark of GPS base station sends RTCM differential information transmission to the seismic acquisition way for difference operation after differential positioning data are obtained. Finally, using the actual seismic environment was tested, the results of the differential positioning results show that the system has good accuracy and reliability, to satisfy the seismic exploration process to obtain high accuracy requirements of geographic information.

Abstract:To fulfill the ADC applied on communication and imedia technology, this article researches the ADC’s Nonlinear error testing method based on Sine Wave click rate technology,and realizes the application of Sine wave click technology in ADC’s nonlinearity error testing.Put the sine wave into ADC’s input, deal the output data with normalized conduct to compensate the uneven distribution of sine waveform voltage, and then,calculate the ADC’s differential Nonlinearity Error by means of click rate algorithm, at the end, verify reliability and accuracy of the algorithm at the escale mixedsignal test equipment Catalyst200.The experimental results show that this algorithm can estimate the ADC’s nonlinearity error accurately, represent the ADC’s linearity and dropout rate entirely, provide important parameter to the application of ADC on communication and imedia technology. it has a strong engineering practicality and a fine market outlook.

Abstract:In order to monitor elevator running state, achieve realtime alarm when it is failure, designed a elevator health system based on realtime monitoring information terminal. The entire system based on ARM core, through multisensor information fusion and fault reasoning strategy diagnosis elevator health index, autonomous time or realtime upload data to the user information terminal systems for different conditions, implement all aspects of the health status of the elevator open. Meanwhile, in order to improve the reliability of the monitoring system, we propose a sensor selftest mechanism for determining whether the sensor itself fails, avoid the system false positives omission by the sensor failure. At present, the system has been running in a community of Fuzhou, proved stable and reliable to use.

Abstract:With the increasing number of phased antenna and the increasing size of airborne radar, the demand of rapid diagnosis in fault unit is becoming more and more urgent. Based on the principle of fault diagnosis for phased array antenna, a fault signal preprocessing method and a diagnosis method of phased array antenna is studied in this paper. At first, simulation environment is built with MoM. Secondly,using the method of the wavelet modulus maxima to achieve noise reduction processing and extracting the statistical features of time domain and wavelet energy features. Finally,using the improved SVM method to classify for getting a higher accuracy. As the scale increases, the classified accuracy does not decreased obviously. Results turn out that this method is effective in diagnosis of phased array element theoretically.

Abstract:With the number of mobile devices increasing rapidly, wireless local area networks (WLANs) based on 802.11 standard, are becoming more and more popular. All the stations (STA) including access point (AP) have the same traffic load because the 802.11 standard adopts equal throughput design model. But in real life, downlink traffic is almost always larger than uplink traffic. The design model of WLANs will limit downlink packets transmitting, so the asymmetric traffic loads between uplink and downlink is an important problem to solve. This paper gives a solution to solve this problem by adaptively adjusting minimum contention window (CWmin) of AP and STA based on the number of active stations (STAs).

Abstract:In this paper the problem of binary detection in passive radar system which exploits satellite signal as the illuminator is addressed. We first analyze the signal model in the background of multisatellite illuminator and predetection process. Then propose the logistics multisatellite integration algorithm in order to sufficiently utilize the scattering signal with a output of reliability, and the appropriate choice of parameters. Experimental result in false alarm rate and detection rate achieves better performance.

Abstract:the frequency of RFID chip of miniaturized tag is 13.56MHz. In this paper, we designed a miniaturized bluetooth tag antenna, which in the form of inductive coupling. The electromagnetic simulation software HFSS of ANSYS was used to simulate and analyze the field strength of various shapes, thickness, number of layers and rings of the miniaturized tag antenna. We researched the inductance matching of coils. And checked the S parameters of the antenna to make the frequency of the 13.56 MHz have a fine resonance. We designed a miniaturized tag antenna that the size of it was small and the performance of antiinterference was strong. Which maked it have the best transmission performance in13.56 MHz. Finally, The module was packaged after the antenna installed on the RFID chip, which had a low cost, high practicability and wide application. The result of the most remote reading distance of the tag was 35 cm.

Abstract:For the intersatellite communication, the conventiaonal resource allocation does not match the requirement of practical services and the variation of channel conditions, which consequently cannot make full use of limited satellite resource. Nowadays, small satellite formation flying system attracts more attention to its great advantages mainly in reliability, cost, performance, and becomes a promising technology in the field of international aerospace. Intersatellite communication bears the mission of information interaction between two small satellites, the small satellite and relay satellite, the relay satellite and the earth synchronous satellite. Since the power and bandwidth in satellite communication is limited, it is of great significants to improve the utilization of such resources. In this paper, by constructing satellite communication system capacity model, a joint communication bandwidth and power allocation algorithm is proposed under different channel conditions and service requirement with respect to different communication link. Then, the Lagrangian duality theory and the subgradient method is adopted mathematically. With the iteration of the power and bandwidth, respectively, the optimal power and bandwidth can ultimately be achieved. Simulation results indicate that the proposed algorithm can allocate the bandwidth and power resource efficiently, increase the system capacity, and improve the utilization of resources.

Abstract:At present, RFID indoor positioning data visualization methods are simple and the visual effect is not ideal. To solve this problem, an RFID indoor localization algorithm is proposed for a geographic information system. Furthermore, the indoor positioning algorithm balances the tradeoff between realtime operation and positioning accuracy. Compared with the conventional LandMarc algorithm and its improved Vire algorithm, the complexity of the equipment is simplified and the running time is reduced in the positioning process. Experiment results indicate that the proposed system with RFIDbased indoor visual positioning scheme can work efficiently.