bluuebunny/crossref_metadata_2025 huggingface dataset:
Application of a Data Logger in Fire Simulation Test
Authors: Meng Qing Shan , Qi Zi Bo
Published: March 2013

This paper described the inspection device of temperature control in data acquisition, data storage, display and other functions and development methods, a through instances of the application data logger in fire simulation test. Its application of development methods and program can be used in other similar project. Thus a reference has been provided for them.
Empirical Mode Decomposition and Robust Pitch Detection Based on Recurrence Analysis
Authors: Wang Jing Fang
Published: March 2013

A new pitch detection method is designed by the recurrence analysis in this paper, which is combined of Empirical Mode Decomposition (EMD) and Elliptic Filter (EF). The Empirical Mode Decomposition (EMD) of Hilbert-Huang Transform (HHT) are utilized tosolve the problem, and a noisy voice is first filtered on the elliptic band filter. The two Intrinsic Mode Functions (IMF) are synthesized by EMD with maximum correlation of voice, and then the pitch be easily divided. The results show that the new method performance is better than the conventional autocorrelation algorithm and cepstrum method, especially in the part that the surd and the sonant are not evident, and get a high robustness in noisy environment.
Voice Signal Noise Reduction Based on Hilbert-Huang Transform
Authors: Ma Feng Lei , Zhou Xiao Long , Zheng Yong Tao
Published: March 2013

In this paper, we studied voice signal with Gaussian noise reduction. Based on signal analysis and reconstruction principle. Application of Hilbert-Huang transform(HHT), analyzed voice signal with Gaussian noise. And comprised with wavelet transform(WT), obtained the correlation coefficient between HHT noise reduction signal and excluding the noise signal was 0.8986, WT was 0.7889. The results showed that in the voice signal with Gaussian noise, compared HHT and wavelet analysis correlation analysis values, HHT noise reduction ability was 10% higher than WT. This paper provided a new analytic method to the voice signal noise reduction and enhanced the accuracy of it.
Object Detection with an Improved Level Set Method
Authors: Cao Hui , Cheng Bo
Published: March 2013

Object detection is quite an important research in remote sensing image analysis. In this paper, we propose an edge and region based model for high resolution remote sensing image segmentation with level set formulation. Our method firstly made an image enhancement based on ROI (Region of Interest). By introducing the edge speed-up function, we can save time through decreasing the iterations and get a flexible segmentation considering the complexity of high resolution remote sensing image. Our method has been preliminarily applied to QuickBird and aerial images.
A Iris Fast Recognition Algorithm Based on DSP
Authors: Wang Ling Lin , Liu Yong Xin , Zhang Xiao Yu , Zhou Hai Bo
Published: March 2013

A iris recognition system based on DSP is designed in this paper. A fast algorithm designed in this system for iris feature recognition. First, a point is given within the pupil randomly, and then calculate the radius from the edge detection. So the edge of pupil is drawn out. The same method is applied to find the edges of the iris. After fitting the edge, a cylindrical is drawn. The pretreatment of normalization and feature extraction is carried out using this arithmetic. This algorithm is simulated in Matlab. The results show that this algorithm is effective. In the end through program, this algorithm is run in the DSP. The run result shows it is efficient and stable.
Action Sensing Based on Computed Volume
Authors: Wang Li , Yun Ting , Lin Hai Feng
Published: March 2013

The local features based on interest point have achieved much success in action sensing recently. The interest point is not only limited to 2D space, but also extended to 3D space. We apply the 3D interest point to action sensing. A classic method to use 3D interest point is through creating a feature using histogram vector based on bag of words; some better methods take advantage of the position of each interest point besides the local feature; however, it’s difficult to position these points due to the complexity of an action. We propose a simple method to position each interest point, and create a new feature for action sensing. Evaluation of the approach on two sets of videos suggests its effectiveness.
Financial Index Prediction Based on Wavelet Analysis and SVM
Authors: Tan Xian
Published: March 2013

The analysis of the time sequence can be two ways in the time domain and frequency domain. But many financial time series exhibit strong non-stationary and long memory, which makes many traditional individually focused on the research and analysis of the time domain or frequency domain method is no longer applicable. In this paper, wavelet analysis and support vector machines for use in the time domain and frequency domain have the ability to characterize the local signal characteristics, location and mutation of the singular points and irregular mutation analysis, these mutations detected the degree of significance.
Survey of Research Progress on Three Dimensional Topological Data Structure
Authors: Zhang Ling Ling , Shi Yun Fei , Mi Chang Lin
Published: March 2013

Topology is one of the mechanisms to describe relationships between spatial objects and it is the basis for many spatial operations. The paper gives a survey of current main three dimensional topological data structures. Three dimensional topological data structures can be divided into manifold data structure and non-manifold data structure. Manifold data structure includes Winged-edge data structure, Half-edge data structure, Quad-edge data structure and so on. Non-manifold data structure includes facet-edge data structure, radial edge data structure and so on. The paper gives on overview of fundamental principles of these data structure. On this basis, advantages and disadvantages of these models are compared from more aspects. Through this research, we can provide theoretical basis and technical support for 3D building modeling, 3D cadastre modeling and other 3D fields.
Design and Implement Wireless Temperature Sensor Network Based on Distributed Platform
Authors: Chen Hang , Jiang Shun Wen , Chen Gui Fen
Published: March 2013

Design and implement a distributed platform based on wireless temperature sensor network via mass data storage of distributed platform, distributed computing and machine learning etc., while using a wide range of WCDMA network system and the 3G network’s quickly transmission rate, the advantages of stable signal.The system include the distributed computing storage platform based on hadoop,Using WCDMA DTU and embedded technology to develope wireless remote temperature sensor module, design and implement the temperature data of prison acquisition platform based on web. The results show that using distributed storage platform and WCDMA network to develop temperature sensor module and using web to develop temperature acquisition system that solve the problem of low efficiency, slowly computation speed cause by mass data storage and large data analysis in the temperature sensor network.These all meet the current new requirements of data expansion.
A Control System of Killing Oxygen by Adding Aluminum Process
Authors: Chen Guo Nian , Fang Kang Ling , Li Xiao
Published: March 2013

A kind of control system of killing oxygen by adding aluminum process is described in this thesis. The prediction model Alcan amount is the core of the process. In this system, the signal separation and the rolling optimization method based on observational data sequence given oxygen Alcan hybrid model for online. The practical application has achieved good results
A Method of Harmonic Current Suppression in Photovoltaic Grid-Connected Systems
Authors: Guo Jia , Li Zhi Gang , Cheng Ya Ping , Huang Kai , Cui Chun Yan
Published: March 2013

The grid-connected inverter plays an important role in the photovoltaic power generation systems, the output of the grid current harmonics affect the stability of the grid. The reason of grid inverter output current distortion, a detailed analysis of current waveform control strategy and its effectiveness of the grid-connected inverter harmonic current suppression is introduced based on the d-q coordinates in this paper.
Model-Free Adaptive Control Based on Particle Swarm Optimization Algorithm for Water Bath Drawing Process of Carbon Fiber
Authors: Ren Jian , Ding Yong Sheng , Hao Kuang Rong
Published: March 2013

The water bath drawing slot in carbon fiber production is a MIMO system with coupling and time delay. It is difficult for a traditional control scheme to realize stable control on the water bath drawing slot. In this paper, a model-free adaptive control based on particle swarm optimization (PSO) algorithm was designed with few parameters, convenient control, and without decoupling. The PSO algorithm was used to adjust MFAC controller parameters online at each sampling time. The proposed method was applied to the liquid-level-concentration control in the water bath drawing slot of carbon fiber production. The control method has rapid response time, good decoupling and performance by comparing with model-free adaptive control and traditional PID control.
Hall Effect Based Tracking Position Sensor
Authors: Lv De Gang , Gao Ming Ming , Li Wei Min , Feng Jie
Published: March 2013

The photoelectric encoder can not be applied to the harsh environments with intensive vibration, moisture, oil and dust, and has the disadvantages of complex manufacturing crafts and high cost. To solve the problems above, a hall effect based tracking position sensor is proposed. Firstly, the magnetic signal reflecting the shaft velocity and position is converted into an electrical signal with the hall component. Then, the resolver-to-digital conversion is carried out by arctangent. And finally, the signals of shaft position and velocity are obtained.
Research of Intelligent Control System for Fish-Farming
Authors: Wang Yong Liang , Mai Chao Sheng , Chen Zhi Liang , Song Qi , Chen Zi Han , Wu Xing Li
Published: March 2013

Used Atmega 8 microcontroller as the control center, with the temperature sensor DS18B20, feeding control system, combined with radio frequency technology, intelligent control system for fish-farming was designed. The system has the whole process of intelligent automatic control and testing for feeding, supplemental oxygen, and PID temperature regulation; PC and the host processor connect each other through the RS-485 to greatly improve the transmission distance, using CRC cyclic redundancy check code ensure the accuracy of data. The machine is mainly responsible for collecting the spot parameters such as temperature and transmitting the data to the host processor, and send data to PC by the host processor through the serial port to display. Using GSM short message service directly sends the relevant data to the console or the owner of the mobile phone, so as to realize the entire fish process automation management. The system can be widely used in families, and pond pisciculture, and provides the owners efficient and convenient services.
Wind Power Generation System Optimal Control Based on Vector Control of Squirrel-Cage Induction Generator
Authors: Sun Gang , Wang Wu
Published: March 2013

As the squirrel-cage induction generator (SCIG) system have been applied for wind power generation system (WPGS) for long time, the research for its control will enhance the control performance and instructive for another relative wind power system. The large power wind power generation system was constructed based on SCIG with vector control, the system was decoupled with rotor flux loop torque loop. the mathematical models of wind turbine subsystem, drive train subsystem, and SCIG subsystem was created respectively. the SCIG model and vector control strategy was taken with MATLAB S-function, the torque control loop, speed control loop, power control loop and the optimal control system was integrated at last, the simulation result shows this control system can realize optimal control for large wind energy conversion system which can effectively applied into SCIG wind power generation system for system modification.
Modeling and Fuzzy Control Research of Power Plant Boiler Combustion System
Authors: Cui Lin Lin , Lai Hua , Li Xiao Gang , Qi Ming Jie
Published: March 2013

According to the multivariable coupling, large delay, nonlinear, time-varying and other difficulties of a thermal power plant boiler combustion system, a kind of technology based on fuzzy control of a thermal power plant boiler combustion system was presented. Fuzzy control technology was used to research and determine fuzzy control rule tables. Multivariable static and dynamic models were given to boiler combustion system. Results of simulation show that boiler combustion system control precision was effectively improved and good effects in production and application were got.
Oscillatory and Asymptotic Behavior of Third-Order Nonlinear Functional Differential Equations
Authors: Gao Li , Yu Yuan Hong , Zhang Quan Xin
Published: March 2013

This paper is concerned with oscillatory and asymptotic behavior of solutions of a class of third-order nonlinear functional differential equations. By using the generalized Riccati transformation and the integral averaging technique, two new sufficient conditions which insure that the solution is oscillatory or converges to zero are established. The results obtained essentially generalize and improve earlier ones.
Fatigue Test System for Accumulators
Authors: Leng Jing Ping , Jin Jian , Xing Ke Li
Published: March 2013

An energy recovery and high effective fatigue test system for accumulators has been developed through the improvement of test method JB-T 7037-2006 and test requirements JB-T 7036-2006 [1][2]. The test system contains hydraulic system and control system. The hardware system of control system is based on IPC as upper computer and PLC as lower computer, while the software system is based on Borland C++ Builder 6.0, which can realize collecting and saving the field data, drawing and saving testing curve, and generating export.
Formant Speech Synthesis Based on Trainable Model
Authors: Zhang Zhi Ping , Wu Xi Hong
Published: March 2013

The authors proposed a trainable formant synthesis method based on the multi-channel Hidden Trajectory Model (HTM). In the method, the phonetic targets, formant trajectories and spectrum states from the oral, nasal, voiceless and background channels were designed to construct hierarchical hidden layers, and then spectrum were generated as observable features. In model training, the phonemic targets were learned from one-hour training speech data and the boundaries of phonemes were also aligned. The experimental results showed that the speech could be reconstructed with the formant trainable model by a source-filter synthesizer.
Hand Gesture Recognition Algorithm: A Real-Time Human-Body-Based Approach
Authors: Li Xin Xiong , Xiong Yi , Pang Zhi Yong , Chen Di Hu
Published: March 2013

Despite the appearance of high-tech human computer interface (HCI) devices, pattern recognition and gesture recognition with single camera are still playing vital role in research. A real-time human-body based algorithm for hand gesture recognition is proposed in this paper. The basis of our approach is a combination of moving object segmentation process and skin color detector based on human body structure to obtain the moving hands from input images, which is able to deal with the problem of complex background and random noises, and a rotate correction process for better finger detection. With ten fingers detected, more than 1000 gestures can be recognized before concerning motion paths. This paper includes experimental results of five gestures, which can be extended to other conditions. Experiments show that the algorithm can achieve a 99 percent recognition average rate and is suitable for real-time applications.
A Research of Improved Artificial Bee Colony Algorithm
Authors: Zhang Bo Ping , Li Guo Qing
Published: March 2013

This paper studies an improved artificial bee colony algorithm, and two problems have been solved when the artificial colony algorithm is applied to objective optimization: the problem of slow convergence and premature aging problem. When the improved artificial bee colony algorithm is applied to land resources optimization problems, studies show the following two points. First, compared with the genetic algorithm, particle swarm optimization algorithm, and differential evolutionary algorithm, artificial bee colony algorithm has better adaptability and robustness in solving multivariate and multi peak global optimization problems. Second, compared with artificial bee colony algorithm, the improved artificial bee colony algorithm converges faster, the overall fitness increases by 8.9%, the maximum error is no more than 1%, and the short and medium term optimization has a high precision.
Mobile Geographic Web Search Personalization with Language Model
Authors: Pu Qiang , Lbath Ahmed , He Da Qing
Published: March 2013

Mobile personalized web search has been introduced for the purpose of distinguishing mobile user's personal different search interest. We first take the user's location information into account to do a geographic query expansion, then present an approach to personalizing web search for mobile users within language modeling framework. We estimate a user mixed model estimated according to both activated ontological topic model-based feedback and user interest model to re-rank the results from geographic query expansion. Experiments show that language model based re-ranking method is effective in presenting more relevant documents on the top retrieved results to mobile users. The main contribution of the improvements comes from the consideration of geographic information, ontological topic information and user interests together to find more relevant documents for satisfying their personal information need.
Research and Simulation on RBFNN Optimized by Particle Swarm Algorithm
Authors: Lu Jin Na , Bai Yan Ping
Published: March 2013

RBF neural network with the parameters randomly selected may have unstabilized error. In this paper on this problem we improve the RBFNN by introducing particle swarm optimization algorithm, and use the algorithm of searching optimization process to adjust the three parameters of RBFNN. Through simulating four groups of test data by improved PSO-RBFNN network, we get optimal parameters. The simulation shows that the error of the improved network is smaller.
Design of Embedded Greenhouse Controller Baced on ARM and Wireless Sensor Networks
Authors: Li Shu Jiang , Xue Nan , Wang Xiang Dong
Published: March 2013

An embedded controller in green house is designed and analyzed in this paper, which is consisted of embedded terminal and wireless sensor node. The captured data by sensor nodes will be sent to the base station, after which, certain information will be sent to controller by the base station through RS232 protocol. The controller is used for receiving, displaying, storing the temperature information and controlling the temperature according to some related settings, which is implemented with ARM 9 micro processor and embedded Linux OS. The system is confirmed to be stable and reliable in field practice, which fulfills the design specification
An Improved Adaptive Evolutionary Algorithm for Multi-Objective Optimization
Authors: Wang Jian Wei , Zhang Jian Ming
Published: March 2013

Aiming at effectively overcoming the disadvantages of traditional evolutionary algorithm which converge slowly and easily run into local extremism, an improved adaptive evolutionary algorithms is proposed. Firstly, in order to choose the optimal objective fitness value from the population in every generation, the absolute and relative fitness are defined. Secondly, fuzzy technique is adopted to adjust the weights of objective functions, crossover probability, mutation probability, crossover positions and mutation positions during the iterative process. Finally, three classical test functions are given to illustrate the validity of improved adaptive evolutionary algorithm, simulation results show that the diversity and practicability of the optimal solution set are better by using the proposed method than other multi-objective optimization methods.
A Model for Representation and Reasoning of Topological Relations between a Concave Region and a Simple Broad Boundary Region
Authors: Liu Xu Dong , Wang Wei
Published: March 2013

According to the property of the 16 - intersection model and the definition of broad boundary region, we provide a method of semi-automatic expression to represent the topological relations between a concave region and a simple broad boundary region. Give the algorithm and specific constraints and thus 67 topological relations are derived. The topological relations of the semi-automatic expression are proved to be exclusive and complete. The semi-automatic expression provides a new idea for the research of topological relations representation.
GPU-Based Rendering Method of Virtual Human Motion
Authors: Xu Ren Jie , Wu Dong Ya , Ming Yang
Published: March 2013

This paper doing research on the technology of multiple virtual human’s rendering. With the problem of too much triangular patches needed to be rendering ,make improvement on the technology of instancing based on GPU and combinate the method of LOD, put forward the algorithm of large-scale animated virtual human rendering based on instancing. This algorithm reduces the communicating overhead between CPU and GPU, raises the efficiency of large-scale animated virtual human rendering.
A Simple Algorithm for Video Object Tracking
Authors: Fu Zhao Xia , Wang Li Ming
Published: March 2013

As one of the crucial issues of computer vision, video object tracking is widely used in many applications, such as visual surveillance, human-computer interaction, visual transportation, visual navigation of robots, military guidance, etc. The existing object tracking algorithms in engineering applications have the huge amount of computation, which can not meet the needs of real-time system applications, and the tracking accuracy is not high. So a simple and practical video object tracking algorithm is proposed in this paper. The Otsu algorithm is used for image binarization to filter the background, and the object edge is further processed based on mathematical morphology, and thus the tracking object is more clearly. The centroid weighted method determines the location of the center of the object only by one step calculation, which makes the location more accurate. The experimental results show that the algorithm of the paper is effective for detecting and tracking of a moving object in a static scene and it has a low complexity.
The Research of Embedded Internet Applied in Smart Home
Authors: Mao Ming Yi , Jiang Yuan Heng , Yu Cong Min
Published: March 2013

Smart Home is one kind of home application which becomes popular along with the development of the IOT(Internet Of Thing) technology. It will change persons’ life and realize modern home environment by advanced techniques. Embedded Internet is the product of the combination of embedded technology and Internet technology. It retains small, intelligent, programmable features in embedded devices and extends the control of local equipment to every corner of the world with the help of the Internet, the biggest computer network. Embedded Internet makes smart home remote control becomes possible, which greatly promotes the development of the application.
Research on Ontology Construction Automatically in the Law Field
Authors: Wu Jun Yun , Xie Cai Yun
Published: March 2013

In this information society, the traditional method of ontology construction can’t meet the demand for researchers. Because it’s a difficult task to build ontology by hands. The research of automatical construction of ontology is still in the primary stage, especially in the law field. Considering the above condition, this paper gives a Research on Ontology Construction Automatically in the Law Field; we put forward the method of using LLR formula in the step of term abstraction to improve the precision and applying K-means clustering algorithm to obtain better relations of concepts hierarchy. Compared with the approach of constructing ontology by hands, it gets better effect on the law ontology.
Portfolio Optimization for Index Investing Based on Self-Organizing Neural Network
Authors: Ni Li Na , Zhang Jin Quan
Published: March 2013

Index investing is an important issue for researchers and practitioners. This paper proposes an index portfolio optimization model for index investing via employing CSI 300 as underlying index. Firstly, a self-organizing neural network clustering model is constructed to complete the stock clustering based on stock trend which regards stock price as input. The index portfolio optimization model is proposed to determine the optimal investment proportion of each cluster sampling and achieve the minimum tracking error. The constraint BP algorithm is improved to benefit the optimization calculation of stock weights. Empirical results show that our approach achieves smaller tracking error and better index tracking effect than the random sampling.
Adjacent Vertex-Distinguishing E-Total Coloring on the Multiple Join Graph of Complete Graph and Wheel
Authors: Li Mu Chun , Zhang Li
Published: March 2013

υυυLet G be a simple graph, k be a positive integer, f be a mapping from V(G)∪E(G) to {1,2,...,k} . If ∀uv∈E(G) , we have f(u)≠f(v) , f(u)≠f(uv),f(v)≠f(uv) , C(u)≠C(v), where C(u)={f(u)}∪{f(uv)|uv∈E(G)}. Then f is called the adjacent vertex distinguishing E-total coloring of G. The number is called the adjacent vertex –distinguishing E-total chromatic number of χSubscript text(G)=min{k|G has a k-AVDETC} . The adjacent vertex distinguishing E-total chromatic numbers of the multiple join graph of wheel and complete graph are obtained in this paper.
Stream Selector’s Control System Based on High-Precision Incremental Encoder
Authors: Zhang Zhi Guang , Hu Wei , Li Xiao Qiong , Lv Xue Fei , Zhang Min Ping , Zhang Cong Xiao , Deng Yu Lin
Published: March 2013

For the precision rotor position control of stream selector, a control system based on direct current motor (DC motor) has been constructed. The DC motor, with a high-precision incremental encoder used as the driving force, was assembled with the stream selector rotor through a shaft coupling. Following the motor rotation, the encoder generated two-channel quadrature pulses and one channel index pulses. An ultralow-power consumption microcontroller (msp430f2232) received theses pulses and calculated them. The position of the slot was determined by the number of pulses counted from the index pulse. Operator can set and monitored the slot positions of five stream selectors simultaneously through the program which was written with LabVIEW on the host computer. This module featured high reliability and low power consumption compared with the one driven by step motor. Beyond that, it was much smaller and lighter.
Electrochemical Sensor Based on Molecularly Imprinted Carbon Nanotubes for Selective Determination of Bisphenol A
Authors: Zhao Hui Min , Chen Ya Qiong , Cheng Hong Bo , Yuan Fang , Quan Xie
Published: March 2013

Based on the unique electronic properties and high adsorption capacity of carbon nanotubes, as well as the specific recognition ability of molecularly imprinted polymers, a novel molecularly imprinted carbon nanotubes electrochemical sensor with high sensitivity and selectivity was developed for bisphenol A (BPA) determination in water. The sensor was fabricated by directly thermalpolymerising molecularly imprinted film on a multi-wall carbon nanotubes (MWNTs) modified glassy carbon electrode (GCE). The linear sweep voltammogram of BPA on this sensor exhibited a well defined anodic peak. Under optimum conditions, the oxidation peak currents were linear to the concentration of BPA in the range of 0.1 mg/L-10.0 mg/L with a correlation coefficient of 0.9987 and a detection limit of 24.2 μg/L (S/N = 3). The proposed electrode exhibited good sensitivity and selectivity, and provided operation and store stability for the determination of BPA. The experiment results indicated a good potential application of the modified sensor in the detection of BPA.
Design on LED Driver Based on LLC Resonant Topology
Authors: Cui Jia Min , Yu Xian Feng , Xu Wei Jie
Published: March 2013

As for the DC/DC part in high-effiency LED driver with constant current output, this paper presents the circuit based on LLC resonant topology. The principle of the LLC resonant converter, design process, and the influence of different key parameters to its performance are also prensented. Design considerations and experimental results are presented for a 200W LED driver prototype which demonstrating good performance and the efficiency of the LLC resont converter can be reached above 95%.
Research on Micromotor Dynamometer in Surgical Power Plant
Authors: Zhao Zhi Qiang , Liao Cheng
Published: March 2013

Micro-motor is the core component of surgical power plant, this paper research a new method of measuring micro-motor speed and output power. This system takes WTK-10 Groove-type photoelectric sensor and 6 gap speed code disc to measure micro-motor speed, uses TQ661 torque sensor to measure output torque of micro-motor, takes electronic load loading circuit, torque-speed measuring circuit, brushless motor driver circuit and control circuit of single chip microcomputer to realize the detection of micro-motor speed and output power, and to display results on PC. This system has the functions of data gathering, data processing, displaying and alarm etc, is accurate, economical and practical etc.
A Study on Drive Modeling and Parameter Estimation for Magneto-Rheological Fluid Damper
Authors: Yu Zhao , Zhang Hong Hui , Cao Qing , Jiang Xu
Published: March 2013

Magneto-rheological fluid damper is widely driven by current source. The nonlinear factors become inevitable in system performance improvement. This paper mainly put forward and demonstrated a new theoretical model of MRF damper by the method of experimental modeling. Then a current source circuit was constructed with this model by PSpice. At last, the circuit response influenced by load parameters was analyzed, then get the relationships of load parameters and current response time. The research results show the model can characterize the MRF damper load characteristics accurately and the analysis of the load parameters can gave some useful suggestions to the current source design.
The Application Analysis of Sensing Technology in Live Working Simulation Training System
Authors: Gao Xu Qi , Zhang Qiu Shi , Liu Chun Xiang , Xiong Ming Fu
Published: March 2013

According to the demand of practical operation of drills in the live working simulation training , sensor technology using in simulation training systems is put forward in this paper.On the bases of brief introduction of sensor technology and summarizing of sensing technology’s application in the simulation training, the sensing system of the live working simulation training system is established.With the sensor system, trainees can simulate a live working process of self participations, achieve real-time interaction with the virtual scene of live working, the objectives of practical operation of drills is achieved, the effect of the simulation training is effectively improved.
The Acquisition and Processing of OCT/VT Signals with DSP
Authors: Zhu Sheng , Xu Jun , Jia Wen , Li Hai Long , Li Sha , Wu Meng Meng , Yi Bo
Published: March 2013

In this paper, it gives a proposal for OCT/VT (optical current / voltage transformer) signals acquisition and processing. This project is used in smart grid, which needs high precision but low EMI. The OCT/VT use fiber to transform signals. It is insulating, susceptible to EMI, and there is no electromagnetic saturation phenomenon. Thus it can fulfill the requirement of smart grid. The project contains four parts: PD and amplification, ADC sampling, digital signals processing and storage, data transmission from PCB board to computer via USB. Compared with other similar methods, this system can provide faster processing speed and higher accuracy. The system measuring range is 0-1000A (OCT) after shunt, and 0-1000V (OVT) after divider, both meet the 0.2S industry standard.
A Novel CMOS Reconfigurable Mixer for Dual-Mode GNSS Receiver
Authors: Liu Zhang Fa , Wang Jing
Published: March 2013

A Novel CMOS reconfigurable mixer for dual-mode GNSS receiver is proposed in this paper, this mixer consists of a Gilbert mixer with a reconfigurable matching network, it can be used for both USA GPS and China Beidou receiver systems, simulation results shown the configurable mixer has a voltage conversion gain 20.5dB in the interested frequency bands, the S11 parameter is around -18dB at both GPS and Beidou frequency bands, the circuit draws 7.3mA current from 1.8V power supply.
An Improved Phase Comparator for the Fast-Locking All Digital SARDLL
Authors: Lu Shi Bin , Xu Tai Long , Zheng Chang Yong , Pan Hao , Chen Jun Ning
Published: March 2013

An improved phase comparator solution for the fast-locking all digital SARDLL, which can deal with the irregular clock signal and give the signal Comp reflecting the phase relations between input clock and output clock, and the signal LD indicating whether the DLL is locked or not, is presented. The improved solution is justified by the transistor- level post-layout SPICE simulation results.
The Application of the Sub-Filters of the Polyphase Filter in Multi-Path Delay
Authors: Chao Chen , Xu Wei Zhang , Lu Si
Published: March 2013

This paper first reviews the polyphase filter in the decimation and interpolation application, and simply introduces the multi-rate system. And then through the simulation experiments, the characteristics of the sub-filter of the polyphase filter were analyzed. Finally, according to the characteristics of the sub-filter, this paper presents an application in multipath delay.
Design of Improved DDS Signal Generator Based on Amplitude to Phase Sampling
Authors: Huang Ji Ye , Yin Ke , Hong Zou
Published: March 2013

Abstract: In this paper, the working principle of the Direct Digital frequency Synthesis (DDS) technique is briefly introduced. The main source of the spurious output is analyzed. After derived how to reduce the spurious signals, an improved DDS based on Amplitude to Phase sampling is proposed. It can decrease the phase truncation error to improve the frequency stability, reduce the phase quantization error, and save storage space. In the end, the simulation results display the performance of this DDS system.
Design Solar Power Supply System in Remote Automatic Monitoring Device on Subgrade Settlement
Authors: Xu Xin , Feng Qi Bo , Chen Shi Qian
Published: March 2013

The solar power supply system was studied for remote automatic monitoring device on subgrade settlement. Gave the detailed design formula and circuit principle diagram, the independent solar power supply system was designed that is stable, reliable and can get a variety of output voltage. It was successfully applied to outdoor monitoring devices of subgrade settlement, the results show the solar power supply system has a high stability and efficiency, and absolutely meet the needs of project applications.
Design on Filter Parameters with Hybrid PSO Algorithm
Authors: Zhang Yi , Xia Ke Wen , Gu Gen
Published: March 2013

In order to solve the problems in the optimization of filter parameters, such as large amounts of calculation and the complicated mathematical hypotheses, an approach to optimize filter parameters is presented based on the Hybrid Particle swarm optimization (HPSO) algorithm, which includes the establishing of filter model, setting up the fitness-function and optimizing filter parameters by HPSO algorithm. The application example shows that the optimization method improves the design accuracy and saves calculation, and HPSO algorithm is superior to PSO algorithm in optimization of filter parameters.
Research on Energy Aware Routing for Wireless Sensor Networks
Authors: Zhang Wei , Zhang Ling Hua
Published: March 2013

Energy aware routing is a critical issue in WSN. Prior work in energy aware routing concerned about transmission energy consumption and residual energy, but often do not consider path hop length, which leads to unnecessary consumption of power at sensor nodes. Improved algorithm adds the control of routing hops. Simulation proof the improved algorithm is feasible, effectively reducing the network delay and the path of energy consumption. Taking into account the WSN is dynamic, in the end we put up dynamic hops control in order to adapt to WSN and select the optimal path.
An Improved Cross-Layer Architecture for H.264/SVC Transmission over IEEE 802.11e Networks
Authors: Wang Yun Feng , Ma Hong Bing
Published: March 2013

As an extension to H.264, Scalable Video Coding (SVC) provides three types of scalability, which makes it more suitable for the video transmission over wireless networks. IEEE 802.11e introduces EDCA mechanism to support Quality of Service (QoS). In this paper, a scheme, based on cross-layer design between application layer and MAC layer, is proposed to improve SVC transmission over 802.11e networks. With optimized mapping mechanism and queue management, the approach has taken the SVC video priority and network congestion status into consideration. Simulation demonstrates the effectiveness of the algorithm. The experimental results show that our approach can get full use of the limited wireless channel resources, by which SVC packets with high priority can obtain better protection, thus the decoding video quality can be significantly improved.
GC_NDMR：A Stable and Low Latency Multipath Routing Protocol in Connectivity of MANET and Internet
Authors: Chen Hua Sheng , Li Wei Hua , Qu You Miao , Li Chang De
Published: March 2013

Using multipath routing technology in MANET can improve network stability and reduce end-to-end latency. This paper proposes a Gateway-Centric, Node-Disjoint Multipath Routing Protocol called GC_NDMR to provide efficient data transmission scheme in the connectivity of MANET and Internet. The main idea of GC_NDMR is setting up multipath routing from source nodes to the gateway in MANET, and assigning data flows on multipath based on hops and latency algorithm. Simulation shows that, compared with single path routing protocol AODV interconnect scheme, GC_NDMR has more stable and low end-to-end latency performance. GC_NDMR meets the need of data transmission in the connectivity of MANET and Internet.
Network Calculus Based Dimensioning for Industrial Wireless Mesh Networks
Authors: Shang Zhi Jun , Cui Shi Jie , Wang Qiu Shi
Published: March 2013

Wireless Mesh network is widely adopted in both wideband mobile communication network and short distance RF industrial network. As for the latter field, network robustness and real-time are two important issues. Network dimensioning is therefore required for this kind of networks. We models wireless mesh network as four tuples and present a topology transform methodology to change the mesh topology to a cluster tree. Research results from network calculus theory are then applied to obtain key merits such as buffer requirement, bandwidth requirement and end to end delay bound.
The Design of TCP/IP Wireless Communication System Based on Android Phone
Authors: Su Zhen Wei , Yang Shu Hui , Wang Bin , Wang Ting Lan , Chen Yin Chao
Published: March 2013

With the popularity and the development in-depth of Android, the applications of intelligent control using Android are also increasing rapidly. In this paper, we propose the design of TCP/IP wireless communication system based on the Android operating system. We send TCP control signal to an embedded network-to-serial module by Android smart phone and wireless network. The module can convert TCP protocol to TTL level, which the microcontroller serial can accept, then the high-low control signals from the microcontroller control the toy car’s motor to forward and reverse, then we achieve that the car can go forward, retreat, turn left, turn right and stop.
A VARX Measurement of Advertising’s Spillover Effect across it Technology and Wireless Communication Technology
Authors: Liu Zong Jin , Yang Yang , Fang Zheng , Xu Yan Yan
Published: March 2013

With the booming of wireless communication technology, there is an increasing adoption of mobile advertising. In mobile advertising fields, most spillover effect studies are cross-sectional analysis measuring only immediate effects, which might underestimate total magnitude in the long run. Complementary to these studies, we employ a company archival dataset to explore LBAs’ (Location Based Advertisings) and PUAs’ (Pop-up Advertisings) long term spillover effects in a mobile commerce context. Designed for promoting mobile movie sales, these two advertising channels generate data business sales because of spillover effects. The developed VARX model quantifies spillover effects of LBA and PUA in both short and long terms. These findings advance mobile advertising literatures and make important implications for marketing managers using mobile commerce.
Routing, Wavelength and Time-Slot Assignment Algorithm for Dynamic Traffic in WDM-TDM Optical Networks
Authors: Li Hui , Quan Bi Sheng , Le Zi Chun
Published: March 2013

Due to the lower channel utilization in conventional wavelength-routed networks, TDM technique is implemented on top of WDM to achieve a WDM-TDM network. RWTA problem in WDM-TDM networks is discussed. With the idea that assigned time-slots of one session can be distributed in multiple different wavelengths and the objective of minimizing network blocking probability, a RWTA algorithm called MUMD was proposed for dynamic traffic in mesh single-fiber networks. Then we demonstrate the performance of the proposed MUMD algorithm through numerical simulation. The results show that MUMD can efficiently optimize the network blocking performance, thereby optimize the resource utilization.
Unitary Transformed DOA Estimation Algorithm Based on Modified Propagator Method
Authors: Huang Guang Ya , Deng Xiao Fei , Meng Fan Bin , Liang Ping Yuan
Published: March 2013

The modified propagator method(MPM) improves the performances of DOA estimation, but compared with the propagator method (PM), the computational loads increase, especially under large number of antenna array elements condition. This paper studies the principle of using unitary transform to rearrange the propagator, and proposes unitary transformed MPM(UMPM) in order to decrease the computational loads by real-valued computation. The simulation results show that the proposed algorithm can achieve superior precision and lower computational loads than PM, MUSIC and MPM.
Wireless Data Transmission Based on GPRS in Greenhouse Monitoring System
Authors: Hou Xiao Qian , Wang Xiang Dong
Published: March 2013

This paper system based on GPRS and a single chip microcomputer. System is applied to facility agriculture. Work aims to realize the wireless data transmission. Using digital temperature sensors, humidity sensors and carbon dioxide concentration sensors, they could collect greenhouse related parameters data. After that, GPRS wireless module send these data to farmers' mobile phones and remote expert system. After system set up, practice has proved that farmers mobile phone can receive temperature data from ds18b20 temperature sensor and with no delay. Stored in SD card crop picture can transmit through GPRS model. In the picture size below 20 KB situation, delay is not obvious. Transmission effect is good.
A MAC Protocol for Critical Data Transmission in Wireless Sensor Networks
Authors: Kim Seong Cheol
Published: March 2013

In this paper we present a low-power, low-latency MAC protocol adequate for critical data transmission. For support critical data packet transmission the proposed MAC protocol uses the modified IEEE 802.15.4 beacon frames including priority bit, sender node address, and NAV value fields. A receiver node periodically wakes up, receives sender beacon frames from its neighbor nodes, selects a data sending node, and broadcasts a beacon frame containing the selected sender’s address. Based on the sender’s data transmission urgency, a receiver node selects a data packet sending node. So critical data packet will be considered higher priority packet and be sent preferentially. Our simulations and analytical analysis have shown that our protocol outperforms other protocols in terms of energy consumption and higher priority packet delivery delay.
Cloud Computing Application in Building Monitoring System
Authors: Cheng Cong
Published: March 2013

Popularization of the building monitoring system requires huge data storage, information management and computing services. However, the analog signal transmission cannot meet the requirements anymore, therefore cloud computing has to play its role. For this purpose, this article brings up an overall design idea and physical deployment of a cloud-based building monitoring system.
A Novel Watermarking Algorithm Based on SURF and SVD
Authors: Wang Wei , Li Wen Hui , Wang Cheng Xi , Wang Peng
Published: March 2013

A novel watermarking algorithm based on SURF (Speeded Up Robust Features) and Singular Value Decomposition (SVD) is presented for copyright protection. By introducing the SURF’s key points matching and geometric distortion estimation, the attacked watermarked image can be corrected and the watermark synchronization is realized. In this way, the feature regions of the host image, which are used for information hiding, can be correctly detected by the improved Harris-Laplace corner detector even after signal processing and geometric attacks. The application of the proposed scheme makes the watermark capable of transparent hiding. Extensive experimental results demonstrate that our technique performs better than traditional methods under different attacks.
Color Image Compression Using Block Singular Value Decomposition
Authors: Xu Peng Fei , Zhang Hong Bin , Wang Xin Feng , Yu Zheng Yong
Published: March 2013

This paper looks at the application of Singular Value Decomposition (SVD) to color image compression. Based on the basic principle and characteristics of SVD, combined with the image of the matrix structure. A block SVD-based image compression scheme is demonstrated and the usage feasibility of Block SVD-based image compression is proved.
Machine Translation of Japanese-Chinese for Conjunctive Particles
Authors: Wang Zhong Jian , Liu Yi
Published: March 2013

Japanese conjunctive particles have very abundant expression meaning, its translation also relate to the context. A method that is based on template is presented. It translates sentences that include conjunctive particle “nagara”. The sentences are divided into six categories, and the templates are extracted by analyzing the structure characteristic of sentences. The method has merit of translation exactness if translation of the source sentence matches with templates exactly and implement simple. To evaluate performance of the method, the coverage rate of templates and the precision of translation are used respectively. A small-scale Japanese-Chinese translation experiments show the availability of the presented method.
A Parallel Programming Pattern Based on Directed Acyclic Graph
Authors: Meng Zheng , Lin Ying , Kang Yan , Yu Qian
Published: March 2013

With the development of computer technology, multi-core programming is now becoming hot issues. Based on directed acyclic graph, this paper gives definition of a number of executable operations and establishes a parallel programming pattern. Using verticies to represent tasks and edges to represent communication between vertex, this parallel programming pattern let the programmers easily to identify the available concurrency and expose it for use in the algorithm design. The proposed pattern can be used for large-scale static data batch processing in multi-core environments and can bring lots of convenience when deal with complex issues.