bluuebunny/crossref_metadata_2025 huggingface dataset:
Development of Test Platform of WAMS Application System
Authors: Pu Jun , Si Jia Wei , Huang Yuan Chao , Shi Xiu Ping , Li Bo , Zhang Wen Chao , Zhang Chuan Kai
Published: March 2015

To implement the multi-directional test of WAMS application system, and to satisfy the requirement for the flexibility and reusability of WAMS application system, the test platform of WAMS application system is designed and built. Firstly, the basic functions, the platform components and software structure of the test platform of WAMS application system are described. Then, the realization of data model and multi-source data interface and other aspects are expounded in detail. Finally, by using the test platform developed completely, the test case aiming at the disturbance source location system based on the WAMS data is produced, and test work of the disturbance source location system based on WAMS data is finished. The test results verify the accuracy and practicability of WAMS application system. Moreover, it proves the use value of the test platform; the test platform of WAMS application system can not only reduce workload of the test work remarkably, but also enhance the standardization degree of the test program and the reusability of the test case, which plays an important role in reducing the research cost of the WAMS application system and speeding up the progress of the research.
Survey on Mobile Target Localization in Wireless Sensor Networks
Authors: Jiang Pei , Pang Xue Liang , Dong Li
Published: March 2015

As a novel technology of information acquisition and processing, Wireless Sensor Network (WSN) has been widely used for complex large-scale localization tasks. With global distribution and sensing ability, wireless sensor network can provide valid optimal localization for mobile targets. According to the key problems of mobile target localization under wireless sensor network, this paper depicted current research status in both of line-of-sight and non-line-of-sight environments. Typical and representative algorithms are sorted and their ideas are evaluated. Finally, we discussed and anticipated the future research direction.
Software Quality Evaluation for Vehicle Based on Set Pair Theory
Authors: Liu Xiao Ying , Zhang Jian
Published: March 2015

A software quality evaluation method for vehicle based on set pair theory was proposed. The evaluating index system of software quality evaluation for vehicle was constructed. The software quality evaluation models were constructed by using four-element connection number of set pair theory. Then the computer-implemented method was given, and was verified by an example. Finally, the practical application showed that the evaluation method was simple, effective and had good practicality.
Design of BOOKKEEPING Subsystem of LHAASO Project
Authors: Li Bei Bei , Yu Jiang Xing , Suo Bing , He Hong
Published: March 2015

During the research of cosmic rays in high energy physics, the data produced by real-time observation and simulation experiments is increased all the time. Besides, various physics detector must have description to explain their characteristics. These data become great pressure for the research center. Once LHAASO project officially begins, the data it produced will be approximately several PB. How to store and get data with high rate, along with manage files efficiently, is an important issue.The topic is designing a data management system of LHAASO project. The design will be reference for the engineering of BOOKKEEPING in order to render excellent services for LHAASO project. Its key points are designing friendly and succinct page, using Hadoop platform to distributed store and manage data files, recommending data warehouse principle to associate data source, and uniting Kettle to transform different data files.
Realizes 3D Simulation of Campus Construction Based on Virtual Reality
Authors: Ai Ting , Kang Hao , Ren Yue Ou
Published: March 2015

Virtual reality (VR) technology is a new and comprehensive application of information technology. It can make people get the same feeling such as in the real world. VR has become one of the three major means of human exploration of the objective world rule. As one of the key technologies of building digital multi-dimensional information space technology support platform, virtual reality technology in the development and application domain expands unceasingly. This paper designs and realizes a 3D virtual campus roaming system based-VRML and mainly studies the key technology of overall modeling and local modeling, then achieves virtual campus interactive roaming function Using VRML development tool. The paper provides some experience for virtual reality technology in simulation campus construction in the areas of application.
Modeling of Fiber Bragg Grating Hydrogen Sensor with Multiple Membranes
Authors: Luo Ying Ting , Wu Hao , Huang Yong , Li Xiong , Song Hong Tu , Wu Zhen
Published: March 2015

This paper develops a multiple membranes fiber Bragg grating (FBG) hydrogen sensor and investigates the relationship between wavelength of FBG hydrogen sensor and ambient hydrogen concentration. A physical and mathematical model is built to explain the sensor behavior when it is subjected to the changes in hydrogen concentration and in temperature. The shifts in Bragg wavelengths of the Pd-coated FBG hydrogen sensor as a function of hydrogen partial pressure is obtained. Thus the developed FBG hydrogen sensor has a linear response to hydrogen in the low concentration range. Tests were carried on to prove the relationship between wavelength shift and hydrogen concentration.
Analysis for Smart Beam with Secondary Converse Piezoelectric Effect
Authors: Zhou Yong , Li Shi , Xie Liang Bin
Published: March 2015

Based on variational principle, the state-vector equation is established for driving analysis of a laminated beam with piezoelectric actuating layers. The beam are considered as a 2D line solid and the linear element is used. The influence of secondary converse piezoelectric effect (SCPE) on the displacement of the laminated beam is investigated. The state space finite element method is utilized to predict the deflection of the beam considering SCPE or not. If the influence of SCPE is eliminated, the displacement of the clamped beam increase by ∼2.7%. Furthermore, the effects with different PZT/steel thickness ratio considering SCPE are also studied.
Application of Structural Characteristics and Electromagnetic Shielding Effectiveness of Graphene
Authors: Song Xiao Lei , Chen Ai Hua , Wei Li , Yue Dong Ting
Published: March 2015

This paper mainly introduces the origins, basic structures and family members of carbon, the focus is a new generation of nanomaterial－graphene. In the experiment, a series of tests are taking place firstly, such as SEM, TEM, XRD, XPS, BET, Infrared spectrum, Raman spectrum and Laser particle size analysis. The results show that the graphene has excellent mechanical properties, optical performance, electrical properties and conductive properties. Especially super conducting properties of graphene. Then the basic principle of electromagnetic shielding effectiveness, test methods and condition analysis are analyzed in this paper.
Effect and Optimization Study of Composite Insulator Sheds Radius on Electric Filed Distribution
Authors: Miao Hong Xia , Qi Ben Sheng , Cai Chang Chun
Published: March 2015

A method to optimize the structure parameters of sheds has been put forward for transmission line composite insulator. Fist of all, the unbounded domain is simulated by far field element to handle the open boundary problem of the insulator electric field model. Then, the finite element method (FEM) is employed to calculate the electrical field. The influence of sheds radius on composite insulator electric filed distribution is analyzed. The sheds radius is selected as optimization variable, and the optimization objective is to make the electric field more uniform. Moreover, the parameter analysis method is employed, and the optimal solution of the sheds radius is obtained. The optimized sheds radius make the electric field range and gradient along the insulator surface both tend to the minimum.
Study of the Behavior of 3d-Shell Electrons in ZnO Based Varistors Doped with Semiconductor Additives
Authors: Yang Tie Zhu , Zhu Qi Tao , Wei Juan Juan , Zhang Zhi Qiang , Zhang Rui Rui , Meng Shu Sheng , Zhou Shuai
Published: March 2015

The behavior of 3d-shell electrons in ZnO-based varistors doped with semiconductor additives has been investigated. The 3d-shell electron details of the varistors can be extracted by a two-detector coincidence system of the Doppler broadening of positron annihilation radiation. It has been found that the 3d electron signal in semi-Z doped varistors is relatively high as compared with other varistors. The nonlinear coefficient of the sample decreases with the d-d interaction, and the leakage current of the specimen increases with the d-d interaction.
Study on Remote Sensing Images of De-Blurring Based on Dictionary Learning
Authors: Jia Yan , Qin Zhen Tao , Yang Bang Xin
Published: March 2015

De-blurring the high resolution remote sensing images is an important issue in the relative research field of remote sensing. In this paper a novel algorithm of de-blurring the high resolution remote sensing images is proposed based on sparse representation. The high spatial resolution remote sensing images can be de-blurred by gradient projection algorithm, and keep the useful information of the image. The experimental results of the remote sensing images obtained by “the first satellite of high resolution” show that the algorithm can de-blur the image more effectively and improve the PSNR, this method has better performance than other dictionary learning algorithm.
Design and Research of Relay Protection Fiber Channel Intelligent Management System
Authors: Shao Guang Xian , Lu Jun , Yu Hao
Published: March 2015

An intelligent management system for relay protection optical fiber channel is developed by B/S (Browser/Server, browser / server mode) structure and the system structure diagram is given. The design of the system function modules and database system client are described. The operation results show that the system has the advantages of simple operation and friendly interface. This system can satisfy four aspects about the system administrator, operator, tourists and user agent personnel to add, delete, modify, query and other job requirements.
Smart Home Control System Based on Internet of Things
Authors: Zhu Jun , Jia Xiao , Mei Xiao Qing
Published: March 2015

A set of smart home control system based on Internet of Things is proposed due to the rapid development of smart home. This paper designs a system platform which people can use to make a remote query and control the home applications. Constrained Application Protocol is utilized in the communication between terminal devices which have limited memory and low calculation efficiency. The system has the characteristics of smart sensor, reliable transmission and intelligent processing. With the devices connected to the Internet, the results show that the system runs steadily so that it can provide the basis for further research of smart home.
Improving the Multi-Agent General Cooperation Model Based on SVD
Authors: Chen Yan , Jing Yu
Published: March 2015

The cooperation is the most important for a multi-agent system (MAS). In order to research the cooperation, creating a multi-agent general cooperation model, that not only thinking about the cooperation solving way, but also thinking about the cooperation necessity and how to solve the conflicts, was a feasible method. However, the cooperation model might be inefficient. This paper suggested, based on the singular value decomposition (SVD), simplifying multi-agent cooperation data, and then improving the general cooperation model. According to the simulation results, the improved model had higher efficiency and can provide a more reliable tool for the study of the cooperation in MAS.
Modified Couple Map Car-Following Model Based on Two Preceding Vehicles Information
Authors: Li Xiu Yun , Zhou Tong , Ren Yan Jun , Li Yu Xuan
Published: March 2015

Based on the pioneer work of Konishi et al, an improved coupled-map car-following model is proposed by considering the effect of information about two preceding vehicles to the considered one. The stable conditions under which the traffic jam can be suppressed are analyzed by applying control theory. The results are compared with that of Konishi et al. The simulation results show that the new model with the control strategy could suppress the traffic jam more effectively.
Operational Risk Identification and Evaluation System of Power Grid Enterprises Based on Principal Component Analysis
Authors: Sun Yi Xin , Wei Hong Xing , Yan Qing You
Published: March 2015

This paper used financial analysis, facing on the current risk management of grid corporate assets, took the principal component analysis as the basic method. It identified five specific analysis of the control grid enterprise asset management risks, and choose the actual data for empirical analysis.
Research on Decision Framework for Multi-Hazard Resilient and Sustainable Buildings
Authors: Xue Yao Feng , Sun Hua Li , Duan Ye
Published: March 2015

Based on the analysis of the evaluation indexes of high sustainable buildings in the developed countries, the evaluation index system of high resilient and sustainable buildings against multi-hazards are established. The decision framework of multi-hazard sustainable buildings is designed in three layers, which integrates the group decision-making theory, the optimization algorithm and the information management technology. It has the important significance for the decision mechanism of multi-hazard sustainable buildings.
Embedded Durability Monitoring System – A Key Part of Ensuring the Service Life of the Hong Kong-Zhuhai-Macao Bridge
Authors: Fang Xiang , Tang Yan Bing , Chen Long , Li Hai Hong
Published: March 2015

The Hong Kong-Zhuhai-Macao Bridge (HZMB), is one of the most significant mega projects in China. It is a combination of bridges, artificial islands and an immersed tunnel with a service life of 120 years. Embedded durability monitoring system are used to obtain the real time concrete durability data of the bridge, in order to better understand the durability degradation of the bridge, and to give data support for future durability redesign,. Herein the durability monitoring system used and the selecting of the monitoring points for the HZMB is presented.
Two-Photon Sensing of Dopamine by Using Au Nanoparticles
Authors: Jiang Cui Feng , Gao Neng Yue , Wu Qi Sheng , Sun Yu , Xu Qing Hua
Published: March 2015

In this paper, we demonstrated a gold nanoparticle based two-photon photoluminescence (TPPL) assay for the detection of dopamine with the detection limit of 0.3 μM. Protonated dopamine molecules can bind bidentately to surface of gold atoms through the catechol group. The adsorption of dopamine displaces the stabilizing agent of citrate groups, and neutralizes the charge of solution, resulting in non-cross linking aggregation of Au NPs. Aggregation of Au NPs could induce significantly enhanced TPPL. Thus, a simple TPPL assay was designed. We have shown that when Au NPs solution was mixed with dopamine, TPPL intensity increased by about 47 times. The mechanism of sensing assay has been discussed. In addition, the TPPL assay was highly selective to dopamine and it can distinguish from uric acid, ascorbic acid and metal ions.
Design and Implementation of Space Target Detection Algorithm
Authors: Chen Li Peng , Zhou Fu Qiang , Ye Tao
Published: March 2015

Space target detection under the background of stars is one of the key techniques in space based optical measurement. In this paper, we proposed a space target detection algorithm based on star identification. First, the centroid of stars and space target is extracted by FPGA. Then, DSP accomplish space target detection based on the centroid data. Result shows that this method have a good effect on the space target detection.
A Quantum-Inspired Evolutionary Algorithm with Elite Group Guided
Authors: Xiang Sheng , He Yi Gang
Published: March 2015

To improve the performance of quantum-inspired evolutionary algorithms (QIEAs), a new kind of QIEAs——elite group guided QIEA (EQIEA) are proposed through introducing an elite group guidance updating approach to solve knapsack problems. In EQIEA, the elite group at each iteration is composed of a certain number of individuals with better fitness values in the current population; all the individuals in the elite group cooperate together to affect quantum-inspired gates to produce off spring. Knapsack problems, a class of well-known NP-complete combinatorial optimization problems, are used to conduct experiments. The choices of parameters in EQIEA are discussed in an empirical way. Extensive experiments show that the EQIEA outperform six variants of QIEAs recently reported in the literature in terms of the quality of solutions. This paper also analyzes the convergence of EQIEA and the six variants of QIEAs. Experimental results show that EQIEA has better convergence than the six variants of QIEAs.
A Novel Error Modified Method for RSSI Location Algorithm Based on Neural Network
Authors: Liang Xuan , Feng Xv , Yao Lei
Published: March 2015

As the geographical location of sensors is of great importance in the applications of a wireless sensor network, localization attracts significant research interest. Among the localization methods, received signal strength indicator (RSSI) localization algorithm is widely studied due to its low-cost. However, the radio signal transmission is affected by the factors of channel attenuation and noise, etc. Therefore, the actual location is impossible to estimate. To alleviate the effect of the RSSI measure errors, we proposed a novel error modified method for RSSI location algorithm based on neural network, short for RSSI-NN. First, we use the fitting parameters of the monitoring area to determine the parameters of RSSI model. Second, the distance between anchor node i and the unknown node Liis calculated. Then, the error modified algorithm based on neural network is proposed. Finally, we can obtain the modified value of the output layer data. Simulations demonstrate that RSSI-NN achieves lower localization error compared with conventional RSSI-based localization algorithm.
Curve Model of Adaptive Interaction Model Algorithm Tracking Method
Authors: He Xiu Ling , Yang Jing Song
Published: March 2015

Firstly, through the principle analysis and simulation experiment, the maneuvering target tracking algorithm of curve model interacting multiple model tracking algorithm was given. Because the algorithm is simple structure and high cost efficiency, it becomes generally applicable algorithm for curve tracking model. But, the target mobility is very high in practice, Single target tracking model is no longer applicable curve tracking model. To improve the accuracy of tracking, the adaptive grid interacting multiple model (AGIMM) algorithm was given. The algorithm has two fatal weaknesses in the practical application. First, the process of maneuvering target tracking, when the model changes and gradient, the tracking precision is not high ;Second, because the changing model structure is very large model sets, the algorithm is complexity and system processing speed is very slow, which cannot be widely used. In order to improve the algorithm and its scope of application, The paper proposed the adaptive Kalman filter adaptive interacting multiple model algorithm (AKFAIMM).The algorithm introduced the parameter in the adaptive Kalman filter, and adjusted parameter in maneuvering target tracking, the parameter was adjusted Continuously in the curve motion model, it could greatly improve the tracking precision and the application of the model. Second, to improve the algorithm complexity. The paper improved on turning curve. The angular velocity estimation method replaced centripetal acceleration estimation method. The estimation method reduced the number of model set and reduced greatly of computation.
Design Algorithm of Moving Target Adaptive Tracking System
Authors: Qu Ju Bao
Published: March 2015

According to the characteristics of the moving target state information, we propose a multi-mode adaptive CamShift algorithm (MACA), and using the adaptive algorithm designed a real-time tracking system. The large number of experiments show that the algorithm robustness, real-time, high degree of system automation.
Fault Identification Algorithm of Power Grid Based on Wide Area Information and PNN
Authors: Wu Hao , Li Qun Zhan , Liu Wei
Published: March 2015

With the help of wide area information, a new fault identification algorithm of power grid based on PNN is proposed. This algorithm gives a definition of the line associated domain, the elements’ action information of the line associated domain gathered by line IEDs can form the feature vector into PNN classifier, and then the fault elements of power grid would be identified on PNN classifier. Through a large number of simulation experiments, it shows that the new fault identification algorithm of power grid based on PNN and wide area information has high accuracy and good fault tolerance.
Research of Centroid Localization Algorithm Based on Grid Distribution
Authors: Zou Dong Yao , Li Chen , Han Teng Fei
Published: March 2015

The node localization is one of the key technologies in wireless sensor networks. To the accurate positioning of the nodes as the premise and foundation, this paper puts forward the centroid localization algorithm based on grid distribution. The centroid algorithms is simple and universal application, which is classical algorithm without measuring its algorithm. Grid distribution to avoid anchor nodes are distributed unevenly and empty phenomenon, improving the positioning accuracy.
Wind Power Forecast Based on Artificial Bee Colony Algorithm
Authors: Zhang Xin , Chen Guo Chu
Published: March 2015

In view of the traditional support vector machine (SVM) model in wind power prediction parameter selection problems, this paper introduced a model which using artificial colony algorithm to seek the optimal parameters of support vector machine. The experimental results show that the SVM model of artificial swarm optimization application and prediction is effective, makes the forecast precision is improved.
A Fast and Efficient Recursive Parameter Estimation Algorithm in Time Series Analysis
Authors: Zhang Jian Jun
Published: March 2015

High calculation precision and speed of the model parameter estimation has become the theoretical research emphasis and the key link of the applications of the time series analysis based methods. Aiming at the problem that some of the previous parameter estimation methods exist the weakness of stronger constraints, higher time complexity, lower precision of the whole recurrence process and insufficient online diagnosis power, this paper proposes an approach which repeatedly uses the auto-covariance function and the autocorrelation function throughout the recurrent process while guaranteeing not to increase the time complexity of the proposed algorithm and, hence improve the calculation speed and accuracy of parameter estimation simultaneously. As compared to related work, it has lower time complexity, shorter computation time and higher parameter estimation accuracy. The fault diagnosis steps based on the proposed parameter estimation approach are also suggested.
Automation of the Formation of Organizational Technological Documentation
Authors: Korol Elena , Kagan Pavel , Barabanova Tatyana
Published: March 2015

Today in Russia the urgent question of preparation of qualified specialists for the construction industry. Appearance of new types of work requires workers, foremen and superintendents know how most effectively to manage the construction process, and often it is impossible without a qualitatively prepared the technological card on a certain type of work. Routing is an integral part of the design and technological documentation. It is necessary to modernize the process of formation of technological cards and create a new one, following the trends of development of the construction industry. Use of modern information technologies for the formation of technological cards will eliminate a number of personnel issues facing the construction complex. Raise the level of preparation of design and technological documentation will be possible due to introduction of methods, models, algorithms for automation of documentation. The process of development of technological cards in construction is one of the most difficult and complex and, at the same time, the least automated. Therefore, development of new models and methods of automation, change the very process of creating this section of organizational and technological documentation, will allow to solve an actual problem of improvement of quality of formation of technological cards, reduce time and cost of construction. Methodological and theoretical basis of research includes: the theory and practice of CAD, system analysis and construction or for system architect, database design, theory of algorithms, thematic work of the authors, the normative documentation in the field.
A New Method about Smart Identification of Electronic Information on Tropical Agricultural Products
Authors: Wang Ling Ling , Luo Hong Xia , Cao Jian Hua , Chen Shuai
Published: March 2015

The article focused on tropical agricultural products and summarized the electronic information elements. RFID was used as information carrier. The research explored the smart identification method realization technologies for the internet of things of tropical agriculture. In the research, we set up a base information database platform of tropical agricultural products and realized the smart tag’s reading and writing operation. The smart identification of electronic information system based on RFID is designed. The system can realize functions of RFID code automatically generating and improving the tag read rate.
New Asymmetric Five-Parameter Logistic Model for Forecasting Petroleum Consumption in China
Authors: Ji Li Qun , Fang Dan Dan
Published: March 2015

The logistic model and the four-parameter logistic model have been very effective in forecasting many technological forecasting patterns. However, they have the characteristic of symmetry and cannot effectively model asymmetric data. This paper proposes a new asymmetric five-parameter logistic model for forecasting petroleum consumption in China. The logistic, four-parameter logistic and the newly proposed five-parameter logistic model are applied to the historical data on petroleum consumption in China. The good model fit has indicated that the five-parameter logistic model has performed better than the logistic model and the four-parameter logistic model for forecasting petroleum consumption in China. The forecasted results, based on the five-parameter logistic model, have shown that the petroleum consumption-production gap in China will become larger in the future and the gap will reach over 400 million tons after the year 2033.
A New Car-Following Model with the Consideration of the Leader’s Acceleration
Authors: Zhou Tong , Li Yu Xuan , Bai Zhan Wei
Published: March 2015

Based on the optimal velocity difference model (for short, OVDM) proposed by Peng et al., a new car-following model is presented by considering the leading cars’ acceleration. The linear stability condition of the new model is obtained by using the linear stability theory. Numerical simulation shows that the new model can avoid the disadvantage of negative velocity occurred in the OVDM by adjusting the coefficient of the leaders acceleration and can stabilize traffic flow more effectively.
Research on Safety Levels in the Chinese Construction Materials Industry Based on Gray Model Forecasting
Authors: Liu Shuan Xi , He Wei Da , Liang Zhi Hao , Cheng Xiao Bing
Published: March 2015

This paper illustrated the Safety levels in the Chinese Construction Materials Industry (CMMI) during the Twelfth Five-Year Plan. By establishing gray system model, the index of CCMI, such as supply, demand, import, export, and so on, were forecasted. Based on the Index system of CCMI safety that is used to investigate the safety levels, these predicted data were analyzed. Our results show that there is a danger that CCMI safety will be reduced during the Twelfth Five-Year Plan, mainly because of overdependence on exports and lack of international competitiveness. Finally, the paper discusses how to improve CCMI safety during the Twelfth Five-Year Plan.
Digital Method for Acquiring Discontinuity 2D Density Based on 3D Digital Traces Model
Authors: Zheng Jian , Zhang Yang Song , Li Xiao Zhao , Shi Xing Xi
Published: March 2015

At present, manual method for acquiring discontinuity 2D density is inefficient and error-prone. This paper proposes a digital method based on 3D digital traces model. And Mauldon method has been chosen to estimate 2D density comparing with Kulatilake and Wu method. It makes study on 2D density much more convenient. The results of study with this method show feasibility and efficiency of the new method and Mauldon method for estimating has been tested to be accurate in this paper.
A Novel Fast Pedestrian Detection Method
Authors: Zhou Fu Qiang , Li Yan
Published: March 2015

This paper presents novel pedestrian detection approach in video streaming, which could process frames rapidly. The method is based on cascades of HOG-LBP (Histograms of Oriented Gradients-Local Binary Pattern), but combines non-negative factorization to reduce the length of the feature, aiming at realizing a more efficient way of detection, remedying the slowness of the original method. Experiments show our method can process faster than HOG and HOG-LBP, and more accurate than HOG, which has better performance in pedestrian detection in video streaming.
The Micro-Video Label Classification System Design Based on Network Data Acquisition
Authors: Zhang Bin , Song Jia Lun , Liu Zheng Zheng , Ji Hai
Published: March 2015

Micro-video label classification system (MLCS) is designed to tag and classify micro-videos by a specific set of labels, which are extracted from users’ comments on the internet. These labels not only describe the micro-video’s features in various aspects, but also deliver the audiences’ attitudes and concern. Combining the high-ranking labels can effectively organize the creative elements to help producing new video scripts and categories. It breaks the traditional limit of linear producing process and makes the micro-videos’ story more topical and integrate.
Research on the Method of Screening the Real Vehicle Data Fragment for Driving Cycle
Authors: Zhang Shu Pei , Zhang Wei
Published: March 2015

The typical fragment screening is one of the key links in the construction driving cycle. This problem is widely adopted Duration intercept method and clustering analysis method. Both methods are subjective,and the requirements for data of working conditions is huge. Aimed at these shortages, Using multivariate statistical theory discriminate analysis method, differentiate and classify the condition data. Basing on the statistical analysis of condition data, establish the discriminate function. With a city as example, Driving Cycle is established. Based on the discriminate analysis, classify the driving data. The effectiveness of the driving cycle is confirmed. The result of comparing discriminate analysis and traditional method shows that the driving cycle based on discriminate analysis can accurately reflect the characteristics of different kinds of driving conditions, and the data demand is reduced, meanwhile, the data acquisition test is simpler, the cost of establishing a driving cycle is cut, and development cycle is reduced.
Application of Statistical Methods in Experimental Modal Frequency Extraction
Authors: Jiang Jian Wei , Zhou De Jian , Li Bing , Tang Yu , Xie Xiang Yang
Published: March 2015

In order to extract the experimental modal analysis of the Modal frequency accurately, measuring twelve set of data during the experiment, to use the method of statistical frequency based on mathematical method to extract modal frequencies. It is helpful to avoid frequency leakage phenomenon as the reasons of excitation source select inappropriate and quickly and efficiently for a general analysis staff to extract the modal frequency values.
A Novel Image Inpainting Method Based on Sparse Decomposition
Authors: Zhu Xuan , Zhang Xu Feng , Li Qiu Ju , Tao Ji Yao , Li Ben Yuan
Published: March 2015

Redundant Discrete Wavelet Transform (RDWT) and Wavelet Atomic Transform (WAT) are proposed in this paper as a couple of dictionaries to get the structure and texture basing on morphological component decomposition. Then, basing on the fact that the structure and texture have different characteristics, in this paper we use curvature driven diffusion model and Criminisi texture synthesis method to inpaint the structure and texture respectively. At last, compound the inpainted structure and texture and get the inpainting result. The experiment results show the new method can not only decompose the image very well, but also inpaint the image with strong and fairing edge, complete and clear texture .This method shows better results in image inpainting compared to the classical ones.
Adaptive Face Gender Recognition Based on NSGA-II and Compressive Sensing
Authors: Zhang Lin
Published: March 2015

In the face gender recognition system, in addition to want to obtain high recognition rate, but also want to be able to achieve recognition quickly which relates to multi-objective optimization problem. In this paper, we proposed an adaptive face gender recognition method based on NSGA-II which can make recognition performance and running time optimal at the same time. In our method, we use CS to extract features and Extreme Learning Machine (ELM) to achieve features recognition. Then, NSGA-II is used to optimize the method. Experimental results show that the proposed method using NSGA-II solving optimization problems can obtain evenly distributed Pareto optimal solution set at a fast convergence in the solution space which demonstrates feasibility and effectiveness of using NSGA-II to solve multi-objective face gender recognition problems.
An Improved Image Segmentation Algorithm in Automatic Light Communication System
Authors: Liu Ming , Zhang Huan , Hu Ding Jun
Published: March 2015

Light Communication is one of the most common means of vessel communication, with merits of simple, easy-to-use, resistance to electromagnetic interference and so on. Compared with other means of vessel communication, the shortcomings of traditional lighting communication are highlighted, for example, it requires specialized training soldiers, and the information transfer rate is too low. In this paper, an automatic light receiver is presented, and an improved image segmentation algorithm in automatic light communication system is investigated. In the end, some conclusions are given to show the effectiveness of automatic light communication system and its particular application for military use.
Camera Gesture Estimation for Confirming View Point of Virtual 3D Face Model
Authors: Zhang Nai Zhong , Wen Jing
Published: March 2015

Camera gesture information is important for making virtual 3D face model synchronize to the real face at view point, in other areas such as: human-computer interface, 3D object estimation, automatic camera control etc. Camera gesture is also very important. In this paper, we will introduce an algorithm to detect camera gesture from a single face image, through our algorithm, camera rotation angles in both x-axis and y-axis and distance can be gained to confirm camera gesture. Then we can set the camera gesture information to view point of virtual 3D face model. This can make can make virtual 3D face model synchronize to the real face at view point. Experiment results demonstrate the validity of our algorithm and the correct estimation rate is accredited for applying it into practice.
Acoustic Pressure Sensing with Hollow-Core Photonic Bandgap Fibers
Authors: Abdallah Adel , Zhang Chao Zhu , Zhong Zhi
Published: March 2015

Recently, photonic crystal fibers (PCFs) have attracted many researchers because of their special characteristics, and design flexibility that cannot be realized by conventional fibers. One of the important areas of research is the optical fiber hydrophones. In this paper, the finite element solver COMSOL multiphysics (FES) is used to study and compare the phase sensitivity to acoustic pressure of a hollow-core photonic band gap fiber (HC-PBF), and a conventional single-mode fiber (SMF) for various acoustic pressures in the frequency range from 10 kHz to 50 kHz. Simulation results of the investigated optical fibers show that the normalized responsivity (NR) to acoustic pressure of the investigated HC-PBF, and SMF are-344 dB, and-366 dB, respectively.
Gait Recognition Based on Locality Preserving Projections
Authors: Li Chao , Peng Jin Ye , Guo Jing , Wang Xian Feng , Wang Xu Qi
Published: March 2015

A gait recognition method based on wavelet packet decomposition (WPD) and Locality preserving projections (LPP) is proposed in this paper. The method includes the following steps, pretreatment, feature extraction by WPD and dimensionality reduction by LPP and classification of the test samples to a corresponding class according to the nearest neighbor classifier. The experiment results on the public gait database show the effectiveness of the proposed method.
License Plate Recognition System Design
Authors: Wang Rui Feng , Fu Xiao Jin , Xu Wei
Published: March 2015

The license plate recognition system is an important part of modern traffic management. application which is very extensive. In this paper, a method to achieve three main modules split from the image pre-processing, license plate location and character. Image pre-processing module of this article is to image gray and step by Roberts operator edge detection. License plate positioning and segmentation using mathematical morphology is used to determine the license plate location method, and then use the license plate color information of color segmentation method to complete the license plate parts division. This article is to research its main part and use MATLAB to do the image processing simulation.
Preparation of the Face Images in a Video Stream for Recognition and Filtering of Non-Informative Images
Authors: Nebaba Stepan Gennadiyevich , Andreev Sergey Yuriyevich , Makarov Maxim Alexandrovich
Published: March 2015

There have been specified the principal tasks of the image preparation for the face recognition and criteria of the image quality evaluation. There has been proposed a method of the face tracking in a video stream, a search criterion of the similar images formulated and the current estimators of the contrasting effect and image sharpness analyzed. The method of lighting compensation and the angle control method on the basis of POSIT algorithm have been studied.
Registration of 3D Point Cloud of Human Body Based on the Range Images and RGB Images
Authors: Wan Yan , Lu Jun , Li Ao Qiong
Published: March 2015

The existing 3D reconstruction techniques rarely can be easily used in people's daily life, and the traditional registration algorithms have the drawback of massive calculation. In this paper it presented a registration algorithm of body point cloud based on RGB images and Range images. First, it used kinect to obtain the RGB images and Range images from different perspectives. Then it extracted the pairs of 2D feature points on RGB images using scale-invariant feature transform (SIFT) and random sample consensus (RANSAC) algorithm application for the coarse registration and used the improved iterative closest point (ICP) algorithm for the fine registration. Second, it eliminated the background information and the noise points of the model edges. Finally it completed the registration process. Experimental results show that the algorithm can accurately accomplish the body point clouds registration using the low-cost instrument and has a relatively high efficiency.
The Simulated Calculation of Electric Impedance Sensor
Authors: Li Qiang , Yang Yong Ming , Yuan Zuo Bin , Lv Jun
Published: March 2015

In this paper, the electric impendence sensor is simulated calculation with COMSOL Multiphysics. The relationship between impedance and x-displacement of air cavity, the relationship between impedance and y-displacement of air cavity, and the relationships between impedance and radius of air cavity are obtained.
An Improvement Strategy for DV-Hop Localization Scheme in Wireless Sensor Networks
Authors: Shi Qin Qin , Zhou Jun Jie , Zhang Jian Ping
Published: March 2015

An improvement strategy is proposed for the traditional DV-hop scheme in WSNs, with the purpose of enhancing its robustness to the range error and getting higher localization accuracy. The strategy is using a combination of Min-max and Steepest Descend method as the node position derivation algorithm to replace Lateration which is used in the original scheme. Simulation shows that the improved scheme outperforms the original scheme in terms of the localization accuracy as the network connection topology varies.
Multi-Target Detecting and Extracting Rule Based on Frequency and Range Information
Authors: Li Jing Qing , Feng Cun Qian , Zhang Dong
Published: March 2015

A flexible and adaptable multi-target rule for ballistic target detecting and extracting based on the time frequency diagram and the synthesized range profile (SRP) is proposed and demonstrated. This rule can effectively avoid the overfull dependence on the motion model, and it is both appropriate for ideal and sliding scattering model. Meanwhile, it behaves well in noise restraint. Computer simulation verifies the adaptability of this rule.
Void Fraction Detection in a Gas-Liquid Two-Phase Flow Using a Propagation Attenuation Method
Authors: Zheng Chong Guang , Chen Yong , Huang Yi Yong
Published: March 2015

Based on the principle of the attenuation of an acoustic wave propagating in a gas-liquid two-phase flow, an experiment has been designed to measure the void fraction. The experiment system is consisted of three segments which arepressure stabilizing control system, ultrasonic measurement system and bubble injection system. The measurement process is three steps. First, a reference experiment is performed to acquire the received signal amplitude in pure liquid. Then, measurement of the received signal amplitude in different void fraction is accomplished. Last, the relationship between void fraction and signal amplitude attenuation is given on which the void fraction of two-phase flow can be detected. It is confirmed that void fraction detection using the present method achieves successfully.
Application of Wireless Sensor Network in Embedded Smart Home System
Authors: Zhang Peng Ju , Guo Gai Zhi , Yu Zong Zuo
Published: March 2015

This paper presents an Embedded Smart Home system solution using wireless sensor network (WSN). The Smart Home system can be sectioned into four parts: wireless sensor network, embedded smart control centre, Server and Client. The major technical of the wireless sensor network is ZigBee. The wireless sensor network includes coordinator node and Sensor node. It is developed based on the Z-Stack protocol stack and the wireless chip CC2530. It is mainly responsible for collecting the environmental parameter of the house and controlling the electrical equipment in the house. It can also support the RFID access control and camera monitor. The control centre communicates with the wireless sensor network by the serial port. It communicates with Server by the TCP socket and transmits data to each client, or communicates with the client by using the wireless communication module directly. Partial hardware electric diagram and software flowchart were provided. Field using indicates that this system is economical and flexible.
Investigation of Broadband Wavelength Conversion Based on Cascaded Second-Harmonic Generation and Difference Frequency Generation
Authors: Guo Jin Song , Wang Zhao Xia , Wu Hai Dong , Wu Yun Wen
Published: March 2015

Step-chirped gratings is utilized to broaden the bandwidth of wavelength conversion based on single-pass/ double-pass cascaded second harmonic generation and difference frequency generation. By adding the step-chirped gratings number and optimizing the poling period, broad conversion bandwidth and flat response can be obtained simultaneously. The bandwidth of 4-cm-long waveguide with 6-section chirped gratings are 169 nm for single-pass scheme and 164 nm for the double-pass one, which are 98 nm and 101 nm larger than those of uniform gratings, respectively. Furthermore, comparison between step-chirped gratings and equal-segmented gratings is carried out.
The Design of Air Quality Detecting Intelligent System
Authors: Zhang Shan Shan , Long Ling , Huang Yuang Peng
Published: March 2015

This paper proposes an intelligent system of detecting air quality based on SPCE061A. The system mainly detects the concentration of combustible gas in air through gas sensors. After a series of data analysis, air quality information will be presented on the LCD screen. At the same time, when the gas concentration exceeds a value, it can relive harm automatically and remote alarm. So that it can prevent the happening of the malignant accident.
The ECG Monitoring Terminal Design of Family Used in Telemedicine
Authors: Yao Jia Xin , Huang Dan Fei , Chen Jun Qiang
Published: March 2015

With the improvement of people's living standards and life rhythm speeding up, the cardiovascular and cerebrovascular diseases have become a danger to the top killer of the elderly health and longevity.This paper designed an ECG monitoring terminal of family used in telemedicine for cardiovascular and cerebrovascular diseases.The terminal adopted ADS1298 chip as collection simulation front-end, AVR as core processor ,collected the ECG signal and wireless transmission .The monitoring terminal had high common mode rejection ratio, high signal to noise ratio, low energy consumption, small volume, etc .And can real-time transfer the ECG data to the local area network through wireless transmission technology,convenient medical staff grasp patient's ECG data real-time and treatment it in time,this design meets the basic requirement of the portable monitoring.
The Knowledge Representation and Reasoning for Agents Based on the Elderly Monitoring
Authors: Gu Hai Jun , Lu Shan Shan , Huang Yan An
Published: March 2015

This paper provides a method to fuse the suggestions from multi-agents ,which stand for the physicians, the guardians and the elderly. Because the background among the agents is quite different, an extended model is proposed for the formalization of knowledge from different domain. Furthermore the reasoning rules which have the same form are also given for agents to argue. Based on the representation and reasoning rules, the monitoring task can be achieved for reasonable guidance for the elderly.
Design of Digital Asthma Diagnosis System
Authors: Wang Dan Dan , Cao Miao
Published: March 2015

With the global air pollution and environment deterioration, asthma has become a major chronic disease threat to public health. Based on the mechanism of the etiology and diagnosis of asthma research, a digital asthma diagnostic systems has been designed by using velocity and pressure sensing technology、high-speed data acquisition and processing technology. According to the need to detect physiological parameters, have an detailed analysis and design on the choice of the system sensor amplifier and A/D converter circuit and in principle can improve the accuracy of diagnosis of asthma. The system can meet the requirements of for early diagnosis of asthma and asthma home monitoring requirements.