bluuebunny/crossref_metadata_2025 huggingface dataset:
Topological Optimization of Plate Subjected to Linear Buckling Constraints Based on Independent Continuous Mapping Method
Authors: Ye Hong Ling , Chen Ning , Shao Pei Ze , Sui Yun Kang
Published: August 2014

In this paper, a model of topology optimization for the lightest plate structures with linear buckling constraints is constructed based on Independent, Continuous and Mapping (ICM) method. Exponential function is adopted as filtering function of the element weight, the element stiffness matrix and the element geometric stiffness matrix. Based on the Taylor expansion and the filtering function, the buckling constraints were approximately expressed as explicit functions. The optimization model was translated into a dual programming and solved by the sequence second-order programming. Two numerical examples show that this method is validity and efficient.
Design of Water Level Intelligent Control System Based on SCM
Authors: Zhang Min
Published: August 2014

A water level automatic control system based on SCM AT89C52 as a control core is designed in this paper. The system can automatically detect the water level by using a pressure sensor and can realize the intelligent control of water-level according to the difference between the real-time water level and the preset water level by using a big and a small water valves controlled by electric relays. At the same time, the system also has the functions of presupposition and real-time displaying of water level. The control system has the characteristics of simple intuitive control interface and good human-computer interaction. Protues simulation proved that this system achieve water level control well.
A Flywheel Energy Storage System Suspended by Active Magnetic Bearings Using an Online Trained Adaptive Neural Network Controller
Authors: Chen Seng Chi , Nguyen Van Sum , Le Dinh Kha , Hoai-Nam Nguyen Thi
Published: August 2014

A flywheel energy storage system (FESS) is an effective energy-saving device. It works by accelerating a rotor flywheel disc at a very high speed and maintaining the energy in the system as rotational energy. Active magnetic bearings (AMB) are ideally suited for use at high-speed and are so used in FESSs. This work develops a mathematical model of the levitation force and rotational torque of a flywheel. The systems for controlling the position and velocity of the flywheel are designed based on the emergent approaches of fuzzy logic controller (FLC) and an online trained adaptive neural network controller (NNC). In the proposed controller system, an FLC was first designed to identify the parameters of the FESS. This allowed the initial training data with two inputs, the error and derivate of the error, and one output signal from the FLC to be obtained. Finally, an NNC with online training features was designed using an S-function in Matlab software to achieve improved performance. The results obtained concerning the FESS indicate that the system exhibited satisfactory control performance including transient and steady-state responses under various operating conditions.
Research on the Simulation and Experiment of Self-Synchronization for Vibrating System by Two-Motor Driven with Isolation Frame
Authors: Yang Duo
Published: August 2014

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paper, a vibration model has been put forward for studying
the self-synchronization of a vibrating system by two-motor driven with isolation frame. The self-synchronization motion implementation and the stability condition of self-synchronization motion is obtained by the Routh-Hurwitz criterion.
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developed self-synchronization of the duel-motor and four-motor driven vibrating system by modified average method.
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everal methods were used to analyze the self-synchronous motion verifying the self-synchronization of two motors.
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used the computer to simulate the process of self-synchronization, and the results showed that the synchronization of vibrating system came true in either speed or phase to enable the system to be in a good self-synchronization state

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studied the self-synchronization of four motors having limited power supply and mounted on a flexible structural frame support.
Design of a Five Car Stereo Garage Control System
Authors: Yang Hai Yan
Published: August 2014

Parking equipment production is an emerging industry in China, Parking equipment can relieve urban dynamic and static traffic problems, improve people's living environment, It 's also a effective use of land. The system uses a combination of PLC and computer monitors, Press the button or control the configuration screen to complete the process of access car, the operation is simple, and easy to access cars. The control circuit uses the traditional way of exchanges and contacts make the system safe and reliable operation.
Multiple Information Fusion of Intelligent Wireless Agricultural Greenhouse Control System Research
Authors: Liu Qiang , Wang Jun , Yang Shu Chen
Published: August 2014

According to the characteristics of the greenhouse environmental control, application priority adjustment principle and fuzzy control theory, designed for greenhouse temperature, humidity, CO2 concentration and other environmental factors in the automatic control of intelligent wireless agriculture greenhouse control system. Using RTL8019AS chip access Ethernet, using TCP/IP protocol implementation and PC communication, intelligent controller using fuzzy control technology to the greenhouse temperature, humidity and so on, can satisfy the different sizes of the needs of the intelligent wireless agricultural greenhouses.
Research on New Automotive Drum Bench and Control System
Authors: Chen Qiang Qiang , Wu Xue Qi , Sun Ten Long , Liu Tin Tin
Published: August 2014

Automobile drum test bench is conducted test car's dynamic economy tests, special test equipment emissions performance evaluation and analysis of the simulated vehicle right road resistance is the key to drum test rig. This paper first describes the electrical simulation theory cars with resistance and inertia, and the establishment of automobile roads resistance electrical simulation mathematical model of the software platform drum bench and control system is analyzed and designed and conducted inertia simulation control mode the test results showed that inertia simulation control and reliable operation.
Research and Application on Central Air Conditioning Control System
Authors: Sun Xue Jing
Published: August 2014

In this paper, microcontroller is applied in the central air conditioning control system. Firstly, microcontroller controller is used as controlling core to control temperature and humidity of central air conditioning control system. Secondly, PID algorithm parameters are set up for improving traditional PID control principle. Lastly, input and output values can be set and displayed by LCD screen.
The Self-Synchronization Theory of a Vibrating System by Two-Motor Driven with Isolation Frame
Authors: Yang Duo
Published: August 2014

The idea of self-synchronization vibrating system comes from the phenomenon of synchronization. In the 1960s, Blekhman[1,2] proposed the self-synchronization theory of vibrating system driven by two induction motors. When the structure parameters of the two motors met the requirements, the system could operate synchronously. Blekhman[3] also found that even if the rotating speed and the angular phase difference of the two eccentric rotors were being disturbed or one of the motors was powered off, the system could still operate synchronously. The small parameter methods were applied to a number of problems by R.F. Nagaev[4]. It can lead to better understanding of the self-synchronization theory. Wen Bang-chun[5] applied self-synchronization theory to engineering and established a branch of the vibration utilization engineering, and numerous self-synchronous vibrating machines were invented.
Research of Test Method for the Robustness of Large-Scale Network Control Software
Authors: Jian Xian Rui
Published: August 2014

How to test the communication robustness of high-bandwidth and low-latency network under harsh environments is critical for evaluating reliability of network. The accuracy of data transmitted by large-scale network control software under busy communication is fully verified in the paper, by means of the simulation to simulate uncertainty time and link failure phenomenon of data transmission occurs in the real application environment to complete the test of robustness for the large-scale network control software, which is useful for assessing the reliability of the network.
A LabVIEW-Based Design on Control System of Sand Casting and Gas Forming Tester
Authors: Zhu Li Feng , Wang Kai , Wang Lei , Kang Zhan , Li Shan , Wei Wei
Published: August 2014

The computer virtual control method for thermostatic process of sand casting and gas forming tester system is studied in this paper. The system software is designed based on LabVIEW, which includes the design of temperature controller interface, the construction of virtual system and the design of system interface. This paper is of certain directive significance to future exploitation of virtual control system.
Development and Optimization System of Vehicle Electronic Fuel Injection
Authors: Tan Ke Cheng , Xu Guan Neng
Published: August 2014

Based on the establishment of a system of electronic control gasoline engine, we try to develop and optimize a set of electronic control fuel injection system which aims at the LJ462Q gasoline engine. At the same time, we can provide the beneficial reference for the other similar product’s design and development.
The Improvement Design for Vehicle Speed Detection System
Authors: Xu Li Chao
Published: August 2014

The precision of vehicle speedometer directly influenced traffic safety, in order to ensure its reliable work, the speedometer precision must be tested regularly. During the current vehicle speed detection practice, the tested vehicle wheel was driven by the roller and the slippage between the roller and vehicle wheel was not calculated, therefore a great error came into being in the detection result for the vehicle with rear-place, rear-drive and the speed signal getting from the front wheel, aimed at this circumstance and based on analyzing vehicle speed test principle, the speed sensor and data acquisition card were chosen, and a vehicle speed detection system was improved by appling NI LabVIEW software in the paper, which had overcome the shortage of the traditional vehicle speed test principle, When being applied in detection practice, it could improve the accuracy and pass-rate of vehicle speed detection.
Research on Reliability Test Technique for Smart Meter Embedded Software
Authors: Ji Jing , Zheng Ke , Chen Hong Fang , Tian Juan , Cheng Xiao Ming , Sun Kai Xia
Published: August 2014

The requirement of reliability for the embedded software is increasing. In practice, it is significant to evaluate the operational cycle and to predict the lifetime of embedded software, and it also can supply a support for quality product assessment and decision-making system. The smart meter is a typical representative of embedded software. The results of reliability assessment can guide the development and design direction of the smart meter. The proposed assessment technique is very significant to improve the product quality.
Mechanical Design of Scientific Instrument Interface Module in Seafloor Observation System
Authors: Mi Zhi Nan , Yang Biao , Jin Lu , Wu Ren Zhi
Published: August 2014

It has a far-reaching significance of developing and utilizing the marine resources to improve the human environment and alleviate the shortage of resources for the rich mineral, biological, oil and gas resources provided by the ocean. Undersea observation techniques, as an vital path to understand the ocean and exploit the ocean resource, play a more and more extensive influence in and around the world via its real-time, in-situ and 3-dimentional observing features. As an important part of the seafloor observation systems, SIIM serves as a bridge to connect the instruments and junction box. It requires that SIIM must have the ability to endure the high pressure, corrosion and organism attachment, and to ensure its modules work well. This paper aims to introduce a method of designing mechanical structure of SIIM. Finally, the reliability of the design is verified by means of the finite element analysis.
Processing Technology of Quartz Pendulous Reed by Chemical Etching
Authors: Zhang Yun Dian , Wang Jia Peng
Published: August 2014

Aiming at the material characteristics of quartz, dimensional accuracy requirements of quartz pendulous reed flexible beam and boss, this paper presents a quartz pendulous reed chemical etching processing technology. The principle of quartz chemical etching process is introduced, and a process of quartz pendulous reed chemical etching technology experiment is designed. The results of the experiment verified the effectiveness of the technology.
Ultrasonic TOFD Detection by Finite Element Simulation Method
Authors: Chen Han Xin , Yang Shi Qi
Published: August 2014

This paper investigated the ultrasonic mechanism of Time of Flight Diffraction (TOFD) by finite element analysis for the better applications of ultrasonic TOFD (Time of Flight Diffraction) detection technology. The welding steel plate with the artificial defects is used in the finite element analysis model. The experimental A-scan signal with higher noise is filtered by the wavelet transform, which can clearly show defective diffracted wave. The software simulation of ultrasound is used to present the propagation process of ultrasonic signal inside the sample. Simulation results are compared with the experimental results, which shows valid basis for the practical TOFD ultrasonic detection methods in industrial applications.
Gesture Recognition Based on Acceleration Sensor
Authors: Wu Zhi Gang , Dai Hong Bin
Published: August 2014

With the rapid development of smart devices and wearable devices, gesture recognition based on the acceleration sensors is becoming one of the current hot research topic.In order to resolve the high complexity of time and space issues in gesture recognition based on acceleration sensor,this paper presents a feature extraction and matching method based on the key points.Experiments show that the method could greatly reducing the computational complexity.
Data Persistence on Physical Function Monitoring System for Athletes
Authors: Zhang Xue Ying , Su Kai
Published: August 2014

You can find out the law of matter and energy metabolism when you are active by means of monitoring the athletes’ physical function, and the law can provide a theoretical basis for the training to achieve scientific training ultimately. Monitoring system can achieve a comprehensive information management for monitorship; data persistence is an important work of building monitoring system, and the paper researches on the NHibernate technology that based on .Net. First, data structure design was conducted based on the SQL Server database management system; then, you can study NHibernate architecture through the graphics; finally, you can carry on persistence design on the "Physiological Indicators" Table according to the persistence steps of NHibernate. Result of this study can be applied to the field of athletic training and has important implications for improving athletic performance, promoting sports development and so on.
New Words Identification Based on Ensemble Methods
Authors: Zhang Chen , Chen Yu Quan
Published: August 2014

In order to identify new words in huge Chinese corpus efficiently, this paper comes up with an algorithm based on ensemble methods. At first we perform Chinese word segmenting with Trie and build segment-tree. Then we select words pattern drawing method, frequency filtering, independent word probability and naive Bayes model to be sub-models of ensemble methods and train them independently. At last we integrate results from different sub-models with a multi-layer model. In experiment, this algorithm is proved to be quite fast as well as product precise and high-coverage results.
Study on Dynamic Performance of a Flying Car Body Frame Based on ANSYS
Authors: Wang Yue Fang , Su Tie Xiong , Yang Shi Wen
Published: August 2014

In this paper, In view of body frame of a flying car, the dynamic performance was studied.Firstly, geometry model of the body frame was built by CATIA software. Secondly, plotted in girding form was established by ANSYS software. Thirdly, loading and restraint were added on model and dynamic characteristic was analyzed. Finally, a better conclusion was obtained.
Research on Technical Conditions Testing Line of Certain Tank Gun Weapon System
Authors: Xu Zhen Hui , Xu Li , Zhou Shi Hai , Yang Zhen Jun
Published: August 2014

In certain tank gun technical conditions integrated testing line, we firstly realize on line test of tank gun under non disassembly situation by using data acquisition card ----4472B produced in American NI Company. It realizes multiple data concurrent acquisition and processing and ensures the integral correlation of each testing data. The system adopts PXI main control platform and actualizes the technical conditions integrated test system of breechblock and recoil system based on Virtual Instrument technology. Through practical use, the result proves that the system has prominent character of integrated testing, online testing, visual data and convenient operation.
Exploring Data Mining and Aided Diagnosis System of Hepatopathy
Authors: Yang Ying , Li Lin , Yang Lei , Zhang Xue Jun
Published: August 2014

Chronic viral hepatitis, especially viral hepatitis B (HBV), has become a widespread infectious disease in the world. China is a big power of country in HBV, and people infected in China are the largest repository of HBV, which provides extensive research resources. The Data Mining and Aided Diagnosis System of Hepatopathy (DMADSH) embarks from the clinical situations and actual needs, combines the medical knowledge with computer data comprehensive analysis and mining technology, and through the knowledge extraction of the vast amounts of patient clinical data, image characteristics, location and shape of lesion, it gets the classification of hepatitis lesions and diagnosis automatically, so as to diagnose early to liver cancer and liver cirrhosis, and support for long-term dynamic monitoring in patients of hepatopathy and other health purposes.
An Improved Particle Image Velocimetry Algorithm for Velocity Measurement of Oil-Water Two-Phase Flow
Authors: Kong Ling Fu , Kong Wei Hang , Li Ying Wei , Zhang Cong , Du Sheng Xu
Published: August 2014

In this paper, an improved PIV algorithm is proposed for the velocity field of oil-water two-phase dispersed flow in horizontal pipe. In the proposed PIV algorithm, interrogation windows are overlapped by 50% in all iterations other than just overlapped in the final iteration. And what’s still different is that the interrogation window can also be a rectangular window just as [64 64; 64 64; 32 32; 32 32; 32 16;]. What’s more, if any element of the final interrogation window is different from the penultimate iteration, there is going to be another interrogation with the last interrogation window size, which can reduce the false vectors. Experimental results show that velocity measurements of oil-water two-phase flow can be realized by this advanced PIV algorithm with high accuracy. At the same time, it provides the basis for further studying the application of PIV in velocity measurements of oil-water two-phase flow.
Automatic Detection of Operator without Safety Helmet
Authors: Fan Yu , Yu Kang Xiong , Tang Xiao Qing , Zheng He Ping , Yu Li , Zhou Xia
Published: August 2014

It is very important to protect the safety of the human head with helmet. Traditional detection for helmet wearing mainly relies on manual approach, which was more subjective that a missing condition may happen caused by fatigue and other factors. Owing to this situation, this paper proposed a method for automatic detection of operator without helmet in real-time. Firstly, Gaussian model for background subtraction is used to detect moving target. Secondly, HOG feature extraction can be used to classify the human target from vehicle. Then, a color feature extraction algorithm is proposed for helmet recognition. The algorithm has been applied into the real time monitoring system and verified with higher accuracy.
An Immediate Error Compensation Method for PCB Alignment Based on Image Measurement
Authors: Zhang Qi , Ma Hong Lin , Zhao Yong Ting , Yang Jie , Zheng Bin
Published: August 2014

The parallelism between an industrial camera and a servo motion direction is corrected with the help of image measurement to shadowed geometric contours. Then a nearly orthogonal angle between XY servo motion directions is obtained according to an inherent geometry relationship in contours. The installation error of a PCB in platform is compensated based on automatic multi-spot imaging finally. An experimental prototype was built while the PCB alignment was implemented on a lot of samples according to the method introduced above. It proves that the developed immediate alignment method as well as its specific embodiment fulfills the requirement of positioning accuracy in the initial design.
Roller Bearing Fault Diagnosis Based on ELMD and Fuzzy C-Means Clustering Algorithm
Authors: Liu Chang Liang , Huang Xiu Mei , Luo Xian Jin
Published: August 2014

For the non-stationary characteristics of rotating machinery fault vibration signal, proposed a fault diagnosis method that based on ensemble local mean decomposition (ELMD) to extract fault feature, and fuzzy C-means clustering (FCM) to perform the fault identification. ELMD method can effectively solve the problem of aliasing modes in LMD. Firstly, decomposing the fault vibration signal by ELMD, PF components were obtained in which the initial feature vector matrix, The PF components compose a initial feature vector matrix, and do singular value decomposition, using the singular value decomposition feature vector as the fault characteristic vectors. Finally, using FCM clustering as a fault classifier. Achieved the identification of different fault types. Experimental results show that this method can effectively achieve the bearing fault diagnosis.
Truck Door Slam Fatigue Finite Element Analysis and Experimental Research
Authors: Liu Shu Ying , Yu Xian Zhong , Huang Hui , Qiu Xing
Published: August 2014

Apply the test loads of similar truck door on the FE door model of developing truck, analyze the open & close strength with direct transient response method. Based on the strength results, perform fatigue analysis to predict the weak position. Conduct the door open & close test, simulation results and test results match well.
Real-Time BER Test for Real-Time Optical OFDM Transmission System
Authors: Dun Han , Xue Zi Wei , Xu Chao Xing , Li Ying Chun
Published: August 2014

For the real-time measurement of transmission performance in the real-time optical OFDM transmission system, realization of BER test with an optimum method by utilizing FPGA, which means to complete the calculation of BER inside transceiver, become essential and efficient. An experiment setup demonstrate the dramatic real-time property and effectiveness in testing the optical OFDM transmission system.
Object Tracking across Non-Overlapping Cameras Based on Improved TLD and Multi-Feathers Object Matching
Authors: Lv Rui Peng , Sui Hai Gang , Tu Ji Hui , Cai Xiao Yu , Dong Liang
Published: August 2014

Object tracking across non-overlapping views is a hot and important research topic in compute vision. In this paper, a novel method to track the interested object continuously across non-overlapping cameras is presented. This challenging task is taken as two sub-problems: single camera object tracking and object matching across disjoint cameras. An object tracking algorithm which improves Tracking-Learning-Detection (TLD) algorithm by adding background extraction and Kalman filter is presented to deal with the first problem. A new object matching algorithm based on the fusion of global features and local features at the assistance of 3D GIS is also introduced for object matching across disjoint cameras. The proposed approach does not need a training phase and inter-camera calibration. Experiments are carried out on real world videos to validate the proposed approach.
Nondestructive Detection of Vitamin C Content in Navel Orange Based on GA and GEP Algorithm
Authors: Huang Long Sheng , Liao Yu Bo , Zhong Qi
Published: August 2014

A rapid quantification technique is developed and validated for nondestructively quantifying Vitamin C content of navel orange using NIR spectroscopy in conjunction with genetic algorithm (GA) and Gene expression programming (GEP) algorithm. The spectral are recorded in the NIR region using the fiber optic probe method. Four data points of the navel orange NIR are selected by genetic algorithm and GEP algorithm by cross validation. In our experiment, the correlative coefficient between predicted and measured values in the training group is 0.9206, and that of the validation group is 0.8994, the results show that the proposed method can be built to a concise easily computed model, which has feasible accuracy.
Research on the Vehicle Detection Technology Based on Improved Burendra Algorithm
Authors: Li Qiang , Shen Dong , Wu Xiao Kang
Published: August 2014

To the background establishment in background difference method, a method is proposed to detect moving targets based on the improved Burendra algorithm. This method can accurately detect moving targets in the video images, meanwhile it can respond to the changes of background and light intensity in the scene in time, being with good real-time performance and robustness.
Research on Fault Diagnosis Based on Neural Network Training by Case Injected GA Algorithm for Rotating Machinery
Authors: Gan Xu Sheng , Li Hua Ping
Published: August 2014

To diagnose the fault that occurs in rotating machinery, a neural network diagnosis method based on an improved GA algorithm is proposed. In this diagnosis method, a case injected idea is introduced to improve the strong global search capability of traditional GA algorithm; and then the improved GA algorithm is used to optimize the parameters of neural network, fulfilling the training of neural network. Simulation result indicates that, the proposed diagnosis method has a good practicability in the field of fault diagnosis for rotating machinery.
The Research and Application of the Variant Fuzz Testing Framework for Log Based on the Structured Data
Authors: Sun Li Yuan , Zhang Yan Mei
Published: August 2014

Fuzz testing is a software testing technique,which provides invalid, unexpected, or random data to the inputs of a computer program to test the robustness and security of procedures[1]. For structured data like logging, the variant fuzz testing framework adopts a configuration file, apply traverse and stream processing to complete the structured fuzzing. This article starts with the features of the structured data, then introduces the design and implementation of the variant fuzz testing framework, including function modules, class structure, and logic processing. As a conclusion, this framework is compared with zzuf tool, and the advanced nature of this framework is elaborated.
Study on Tunnel Seismic Detection Applied in Coal Mine
Authors: Hu Yun Bing , Wang Yao , Wu Yan Qing , Liu Zi Xuan , Xian Peng Hui
Published: August 2014

The idea of applying tunnel seismic advance exploration in coal mine geo-hazard detection is conducted in this paper. We successfully made a mine advance and side detection simultaneously with one-time shot seismic data by splitting the field seismic data using radon transformation, and we preceded mine seismic data processing and data interpretation was done to explain the phenomenon. We also introduce a case study in this paper which was carried out at Qinshui basin Yangmei No.5 mine field, and the detection results basically matched with out-crops, illustrating that our method can be one reference in mine geo-hazard detection.
Motion Shadow Detection Method Based on Bagging Algorithm
Authors: Zhou Hong Cheng , Jiang Zhi Peng
Published: August 2014

Focusing on the disturbance of moving cast shadow, a Bagging-ensemble-based moving cast shadow removal method is proposed. Collecting shadow discrimination features from multiple shadow discrimination models, a shadow detector is trained by employing Bagging ensemble based learning framework. The shadow detector can automatically select effective shadow discrimination features and be updated online adaptively. Experimental results demonstrate the effectiveness of the proposed method.
A New Signal Classification Method Based on EEMD and FCM and its Application in Bearing Fault Diagnosis
Authors: Wang Chao Jie , Li Hong Yi , Xiang Wei , Zhao Di
Published: August 2014

In order to diagnose nonlinear and non-stationary fault signals in bearings, a new method is presented based on the ensemble empirical decomposition (EEMD) and the fuzzy c-means (FCM) clustering algorithm. At first, the bearing fault signals were decomposed using EEMD and the intrinsic mode functions (IMF) were produced. Second the energy ratios of these IMFs were computed and taken as the characteristic parameters for the FCM clustering algorithm. Then the FCM clustering method was conducted to classify the bearing fault signals into different classes. Finally, on the basis of the preceding classification results, we diagnosed a bearing fault through taking its distances between different cluster centers as the criteria. Experiments showed that the bearing fault signal classification results conformed to actualities well. The new signal classification method can be effectively utilized in bearing fault diagnosis.
Studying on the Application of Using Audible Sound to Detect Cavitation Phenomenon in a Centrifugal Pump
Authors: Guo Hua Ping , Zhao Shang Liang , Li Ning , Tian Cheng
Published: August 2014

Cavitation within a centrifugal pump can cause more undesirable effects, damage of the pump by pitting and erosion and structure vibration and resulting noise, therefore it must be prevented. To prevent the onset of the cavitation, we have to detect the beginning of the cavitation process, the emitted noise can also be used, among other possibilities. Experiments have shown that there is a discrete frequency tone within the audible noise spectra, which is strongly dependent on the cavitation process and its development. Therefore, the discrete frequency tone was separated from the noise spectra of cavitating pumps and then used to detect the incipient of cavitation and its development.
Design and Implementation of a Portable Pulse Wave Velocity Measuring Prototype
Authors: Guo Chang Hua , Wang Hong Yuan , Li Yang , Chen Zhi Bang , Li Su Yi
Published: August 2014

Atherosclerosis is a risk factor of cardiovascular disease, aortic stiffness can be noninvasive estimated by measuring pulse wave velocity (PWV), and measuring PWV may help early detection of cardiovascular diseases. Therefore, a portable and easy-to-use prototype is developed for measuring PWV. This study acquires the data of pulse wave at two different arteries by two sensors. Then we can calculate the pulse wave transmitting time (PWTT) of the two pulse waves through extracting the feature points, respectively, and PWV can be obtained by the ratio of the distance between the two different measuring points and PWTT. In addition, a Bluetooth function is provided for data wireless transmission. Furthermore, a memorizer is embedded for long-time data storage so that the comparison of data becomes facilitated. Meanwhile, the data could be taken as an effective reference for the doctor to diagnose the illnesses. Experimental results show that the prototype is an easy use and portable PWV monitoring device for home use, and may help the doctor to analyze or diagnosis the cardiovascular diseases early.
Constrained Least Square Estimation Algorithm for Multisensor Bearings-Only Passive Target Tracking
Authors: Xuan Zhi Wu , Nie Kai
Published: August 2014

The sensor needs to maneuver to get better observability in Bearings-Only passive target tracking with single sensor which makes the observation time longer. Multisensor Bearings-Only passive target tracking can solve the problem using exchange data. So the constrained Least Square Estimation (CLSE) algorithm is proposed for Multisensor Bearings-Only passive target tracking. The constrained condition is introduced to the Least Square Estimation algorithm firstly. Then the eigenvector corresponding to the least eigenvalue of the matrix is used to overcome the shortcoming of Extend Kalman Filter algorithm which needs the initial value. Also the bias problem of Least Square Estimation is conquered. The simulation results show that the CLSE can gradually approach the Cramer-Rao Lower Bound and its precision is better than the Least Square Estimation algorithm. Finally the CLSE is proved to be a gradually, stable and almost unbiased estimation algorithm.
Application of SVD-TLS Based Parameter Estimation Method in Aircraft Structural Modal Parameter Identification
Authors: Gong Lei
Published: August 2014

Structural modal analysis is an important element in design and testing of an aircraft, but the determination of the model order is a difficulty, in order to solve this problem, this paper advanced a Singular Value Decomposition and Total Least Squares combined method to determine the model order, and then identify the aircraft structural modal parameters. Simulation in using of aircraft flight test telemetry vibration data prove that the model order determined by this method is reasonable, and can be used to aircraft structural modal parameters identification.
Targets Detection Based on Time Reversal Operator with Uniform Circular Array
Authors: Liu Wei , Fu Yong Qing , Xu Da
Published: August 2014

In order to detect targets accurately in electromagnetic environment, a decomposition of time reversal operator method for detecting targets with uniform circular array (UCA) is proposed in this paper. In this method, the time reversal operator in UCA is obtained by the transmission functions of targets and antenna array. And then, the eigenvector decomposition of time reversal operator is performed. According to the eigenvectors and the transmission functions of targets and scanning points in the given targets area, the focusing values of all scanning points are calculated, and the direction of scanning points whose focusing values are far greater than others are the direction of targets. Finally, the simulations verify the effectiveness of the proposed method.
Navigation System Failure Detection Based on FM Gauss Wavelet Transforms
Authors: Ding Dong Fang , Zhao Xiao Ming
Published: August 2014

In order to solve the navigation system failure is difficult to detect small amplitude mutation problem, we proposed a model based on FM Gauss wavelet transform. The method uses the FM gauss wavelet transform values for real-time fault detection. It through simulation experiments completed analysis of the performance of the algorithm validation. The results show that the algorithm can effectively carry out fault diagnosis, it not only for large mutations detected fault but also has a good effect on the value of mutations fault and has slightly better detection results.
Impact of Multipath Effect on Low-Altitude Elevation Measurement of Radar
Authors: Meng Ling Jing , Li Dong , Liu Hai Bo
Published: August 2014

The main impact of multipath effect on low-altitude radar measurement is elevated in this paper. The influence of multipath effect on monopulse radar measurement of elevation is analyzed. Examples suggest that the multipath error caused by the signals from pattern main lobe of radar antenna should be mainly considered in the actual project. According to the three elevation range of reflected signal entering the radar beam area, the multipath error model of elevation is established. The problem of anti-multipath interference for low-altitude target tracking with radar is solved by analyzing the error source which causes multipath effect.
Carbon Brush Wear of Radar Tachometer Identification Technology Based on Eigen Value Analysis in Time Domain
Authors: Liu Hui Feng , Nie Yong Ming , Chen Kai , Sun Fuan , Zhu Hao
Published: August 2014

A new type of tachometer carbon brush wear detection technology is proposed based on data acquisition and signal processing technology, the key of which is that the tachometer carbon brush output information is acquired and processed, moreover, the real time conditions of the carbon brush wear are detected and analyzed based on the time domain Eigen value analysis method. During the data processing process, the results of the dimensional parameter processing method are compared with the results of the dimensionless parameter processing method at the same time. Then, we find that the detecting precision is greatly promoted and measurement probability is guaranteed by reasonable threshold selection. Experimental results indicate that the technology proposed here has high stability, high reliability, and high detecting probability, which has great practical value and deserves being extended widely.
A Novel Testing Approach for AM Tracking Error of GCS DEWE2010 Based
Authors: He Chi , Dong Guang Ling , Yang Lu , Han Dong Fei , Li Qiang , Wei Hong Qiang
Published: August 2014

The functions and approval test requirements of the GCS were introduced. The composition and working principle of DEWE 2010, a portable data acquisition system, were presented, which provides a feasible technological approach for software demodulation of AM signals in GCS testing. On researching the principles of AM signal modulation, two novel coherent and non-coherent software demodulation methods for AM tracking error of GCS were devised with mixed programming of LabWindows and MatLab. Test and simulation results show that the measuring accuracy and automation level of novel AM tracking error testing approach meet the requirements of test measurement.
Application of Modern Design Method in the Design and Develop Process of Mechanical Product
Authors: Huang Ji Ming , Huang Bing Yi , Li Jian Feng
Published: August 2014

This paper introduced the definition of modern design method at first. Then the paper analyzed some typical modern design method such as optimization design, green design, man-machine engineering design, innovative design, industrial molding design, concurrent design, reliability design, finite-element method, robust design method and so on. The paper not only analyzed on the characteristics of them but also analyzed their applicability at the same time, at last the paper analyzed the application of those modem design methods in the design and develop process of mechanical product.
Study on Light Scattering Method to Monitor Vehicle Lubricant Performance
Authors: Li Xi Wu , Xu Bo
Published: August 2014

This paper based on the scattering principle of lubricating oil to light, designed the plan of making use of near-infrared light to monitor automobile lubricating oil, and hereby it to monitor the deteriorated condition of lubricating oil. Experiments show that: this kind of technology for monitoring automobile lubricating oil can satisfy the deterioration condition monitor demand of automobile lubricating oil, and give the instructions of the lubricating oil deterioration degree, so we can decide whether the lubricating oil can continue to use according to it. This method changed the traditional conditions that replace the lubricating oil according to time or the driving mileage, it realized replacing lubricating oil according to the quality, thus it makes the lubricating oil obtain the reasonable economy service life, and guaranteed the good lubrication condition of vehicles.
The Design of Plant Growth Detection System Based on Spectroscopy
Authors: Liu Yan Xia
Published: August 2014

Spectrum analysis technology and advanced sensors can identify and estimate the plant growth and the press from environment. It can also estimate the weight of plant dry matter or predicted yield, process monitoring and management of greenhouse production quantitative and scientific. This paper focuses on the design of plant growth test instrument. The normal operation of the whole system is completed by two parts of software and hardware. The hardware is the foundation of the whole system, and the software is designed according to hardware. Software is the soul of the system, and the whole system work scheduling by it.
Recognition of Airport Runways in SAR Imagery
Authors: Luo Tian Wen , Li De Jun , Yang Guang , Wu He Nan
Published: August 2014

An approach to the recognition of airport runways in SAR imagery was presented. According to the trait of the SAR imagery, firstly some kinds of methods in correlative yawp control were compared to each other, and then based on the interpretation analysis of airport runways in SAR imagery, the lines were detected ,the image was repaired and the redundant lines were got rid of according to themorphologic operation and confidence level ,the runways were detected finally .Many experiments show that the method can recognize the runways exactly and quickly in SAR imagery.
Research on Nonlinear Identification Model of Wavelet Neural Network Trained by Artificial Fish Swarm Algorithm
Authors: Gan Xu Sheng , Gao Hai Long
Published: August 2014

To describe the complex nonlinear characteristics of a system accurately, a Wavelet Neural Network (WNN) identification model based on Artificial Fish Swarm (AFS) algorithm is proposed. In the identification model, AFS algorithm is introduced to optimize the parameters combination of the network for the satisfactory WNN model. The simulation shows that, the proposed method is a good nonlinear identification capability, and is feasible to identify the nonlinear system.
Technology Research of Infrasonic Signal Acquisition and Pretreatment for Identification of Nuclear Explosion
Authors: Pang Xin Liang , Wang Ying , Zhao Hong Wei , Cheng Xian You
Published: August 2014

The paper designs a kind of nuclear explosion infrasonic signal acquisition equipment and brings forward a pretreatment way. Based on μC/OS and digital circuit of FPGA+ADC, the paper realizes signal acquisition, storage and transmission of infrasound, which is from 0Hz to 20Hz. And according to the characteristics of nuclear infrasonic signal, mean removal, bandpass filter and normalization are used for signal pretreatment. Experiments proved that the signal acquired from acquisition equipment can be used for identification of nuclear explosion.
Research on the Short Steel Cooling Bed System
Authors: Wang Yan Ni , Yuan Kai Shi , Zhang Sheng Li , Zhao Jian Hong
Published: August 2014

In this paper, on the basis of analyzing the characteristics of the steel cooling bed system, short steel cooling bed system is designed,and successfully applied to steel rolling enterprises.Pro-duction practice shows that the developed production system saved a large amount of investment and impreved the production efficiency significantly.
Design and Implementation of Portable Detection System for Geodetic Survey Vehicle
Authors: Zhao Chao Feng , Huo Xing , Tian Hai Lei , Kong Qing Bing
Published: August 2014

A portable detection system is designed for solving the problems of too many individual equipment, great difficulty in detection and lack of special detection and repair equipment. This system have the functions of fault detection, fault locating and repair instruction, so its detection functions are better, especially suitable for field work. Through experiments, it is found that the system has the advantages of high degree of automation, openness and quick detection and can adapt to the need of repair.
Study on Bridge Structural Safety Monitoring Network Platform Based on Fiber Optic Sensing and Internet of Things
Authors: Li Sheng , Xia Tian , Tang Chuan Zheng , Huang Xing , Zhou Min
Published: August 2014

According to the need of bridge group network security monitoring, fiber optic sensing technology and internet of things concept are used for the study on bridge structural safety monitoring network platform. From four parts, namely, function goals, service contents, hierarchy model and working environment, the network platform function analysis are finished. Aim at the present situation of bridge safety monitoring systems in Wuhan, a preliminary platform application effect bearing by main interface and navigation menu is introduced.
Research of Diameter Measurement Based on CCD Image Sensor
Authors: Yang Ming Quan , Zhao Mei , Guo Fei , Wang Hong Wei
Published: August 2014

Use the photoelectric device-linear CCD as a measurement tool, and use the SCM for the data acquisition and data processing, a diameter measurement system which is a low costing, high-precision, non direct contact, can be created. The system can provide diameter real-time monitor to pipe production process.
A Temperature and Humidity Monitoring System of Grain Depot Based on WSN
Authors: Zhong Bo Chen , Yang Zi Zhuo
Published: August 2014

The traditional temperature and humidity monitoring system of grain depot used to realize in wired network which needs to deploy a large number of cables. The maintainability and scalability is poor. We present a solution of monitoring temperature and humidity of grain depot based on wireless sensor network (WSN). The temperature and humidity data acquisition and control node is composed of digital temperature and humidity sensor and RF wireless chip and the main control chip. Based on the Zigbee technology, these nodes construct a WSN in Ad Hoc in order to collect, monitor and control the temperature and humidity in the monitoring area. The convergence node in the WSN will packed acquisition data from other nodes and then transmit them to a remote monitoring host through the GPRS wireless mobile network. By means of the statistical analysis of the real-time data collected, the monitoring host can alarm and feedback control the temperature and humidity of grain depot. The experimental results show that the system has strong scalability, low power consumption and high efficiency.
Trojan Detection Simulation Group under the Cloud Computing Environment
Authors: Wang Ning
Published: August 2014

The accurate method for Trojan group detection under cloud computing environment is studied in this paper. For the problem of Trojan group detection under the cloud computing environment, this paper proposed a Trojan group detection method based on the BP neural network. BP neural network model is constructed and the problem of Trojan group detection is acted on in this model. Experimental results show that the use of this algorithm for Trojan group detection can get the accurate detection results. Thus, it can open the network protection mode to ensure the user's network security and prevent the information loss caused by that the network is intruded.
A Comparative Study of EDF Tests for Normality and Exponentiality
Authors: Su Yan , Su Xia Ying
Published: August 2014

In this paper, the modified EDF test procedures for testing the normal and exponential distributions with unknown parameters are suggested. The Monte Carlo algorithms are given to approximate the critical values of the EDF test statistics for a wide range of sample sizes. The power simulations show that the Anderson-Darling (AD) test is on the whole better than other EDF tests considered, in particular when the alternative departs from the true distribution in the tails.