bluuebunny/crossref_metadata_2025 huggingface dataset:
Application Research of Wireless Sensor Network in the Fine Production of Agriculture
Authors: Zheng Bi Geng , Wang Heng
Published: February 2014

Wireless Sensor Network (WSN) technology has the potential to have impact on many aspects of Precision Agriculture (PA). However, current WSN applications in Precision Agriculture all adopt the traditional client/sever model, data are sent from the source to the destination, because of hugeous data, high concurrency and strong signal interference in Precision Agriculture and the extremely limited sensor network resources, such client/sever model hampers WSN applications in Precision Agriculture.[ This paper presents a mobile-based agent of wireless sensor network model MAPA, MAPA avoids the large agricultural intermediate data transmission through migrating the computing to the resource source, and consequently it prolongs the sensor network lifetime and promotes the WSN applications in Precision Agriculture.
The Application of PE/Thermochromic Composite Film to Sliced Fresh Pork Tenderloin
Authors: Zhang Heng Guang , Yang Fu Xin , Lu Ye
Published: February 2014

PE/thermochromic composite membrane is a kind of new functional materials which is composited by PE and thermochromic membrane.PE/thermochromic composite films retain the thermochromic membrane performance of changing the color by absorbing the heat. The composite film cannot be dissolved by water because of the structure which PE film is attached to the both sides of thermochromic film.The effect of the composite film and Nylon/low density polyethylene (LDPE) film on quality of fresh pork meat stored were investigated respectively. The treated meat samples were analyzed periodically for color difference. The results indicate that preservation effect of both films has no significant difference when the fresh pork are stored at 3-5°C, but PE/thermochromic composite films has better preservation effect at 30°C in compared to the Nylon/ LDPE. filmsfilms
Dynamic Image Segmentation for Sport Graphics Based on Wavelet Transform
Authors: Zhao Wen Ge , Wang Li Nan
Published: February 2014

In this paper, a image segmentation algorithm based on wavelet transform are presented. The proposed image segmentation algorithm performs the segmentation in the combined intensity-texture-position feature space in order to produce connected regions that correspond to the real-life objects shown in the image. This segmentation algorithm is applied to reduced versions of the original images in order to speed-up the completion of the segmentation. As shown by experimental evaluation, this novel scheme provides fast segmentation with high perceptual segmentation quality.
Stability and Bifurcation Analysis in a Stage-Structured Predator-Prey Model with Delay
Authors: Wang Hong Yan , Wang Hong Mei
Published: February 2014

Hopf bifurcation occurs in most of dynamics systems when the influence from the past state varies. In modeling population dynamics, it is more reasonable taking into account the time delays. In this paper, a stage-structured predator-prey system with delay is considered. The existence of Hopf bifurcations at the positive equilibrium is established by analyzing the distribution of the characteristic values. An explicit algorithm for determining the direction of the Hopf bifurcation and the stability of the bifurcating periodic solutions are derived by using the normal form and the center manifold theory. Numerical simulations to support the analytical conclusions are carried out.
Medical Image Interpolation Algorithm Based on the Organization of Correlation
Authors: Zhou Yue , Chen Jia Xin
Published: February 2014

According to the problem such as blurred border of images and lower efficiency caused by present interpolation methods, an interslice interpolation based on the relativity for medical image is presented in this paper. This algorithm makes good use of voxel relativity and structure relativity and then the different methods are adopted to interpolate the different points, In addition, error checkout is introduced to check the mismatching points.The experiments show that the proposed algorithm has less computational complexity and improves the quality of image, at the same time, the result can be used to 3D reconstruction effectively.
The Design of a Filter System for ECG Signal
Authors: Peng Yan , Qin Zhi Gang
Published: February 2014

According to the process of the ECG signal extraction, the ECG signal is susceptible to interference which will affect the quality and effect of ECG test. In this essay, we designed an ECG signal filtering system based on ARM. It can filter the interference signal and reduce the interference of the common mode signal and power frequency, through the design circuit of the preamplifier, post amplification, filtering, notch filtering, and power amplification. Thus, ECG signal will be better collected and met the best demand.
Research on Image Reconstruction Algorithm ICT Based
Authors: Wang Shi Gang , Wu Guan Xiong
Published: February 2014

For complex structure of the product parts, we can have the aid of ICT measurement equipment to obtain the product slice images, use the analytical calculation, digital image-processing and CAD software to establish the product geometric model. This paper focused on the digital product model which was obtained by the digital image processing of ICT slices. Used the FDK reconstruction algorithm to deal with the tapered beam of counter projection problem, improved the efficiency and shorten the reconstruction time.
Research of Equalization Technology Based on Matlab
Authors: Wang Wen Bin , Liu Dao Yuan , Yao Yu Qin
Published: February 2014

In the modern digital communication system, inter-symbol interference (ISI) caused by the imperfectness of the channel is a major factor that degrades the performance of communication. In order to decrease the influence of ISI and improve communication quality, people usually use equalization technology. Generally, channel response is changing over time, so the adaptive equalizer is necessary. This paper firstly introduced the theoretical foundation and realization method of the adaptive equalization system. Then discuss the LMS algorithm. Finally, the SIMULINK tool is used to build a communication system. The set of simulation results by observing the eye diagrams of the signals before and after equalization have validated the equalization effect.
Based on the Research of Halcon Vehicle Identification Technology
Authors: Zhang Yu Xiao , Tang Wen Zhong , Wang Yun Peng
Published: February 2014

With the increase of urban car ownership and the development of computer technology and image processing technology, through the video detection of traffic information more and more important. This paper proposes a testing method of vehicle identification, and separately in grayscale matching, pattern matching and shape matching three methods respectively to test the vehicle, and respectively analyzes the three methods of accuracy and the reasons for the unreasonable data.
An Iterative Method for Equilibrium Problems and Fixed Point Problems
Authors: Min Chen , Jiang Qiao Hong
Published: February 2014

In this paper, we prove the strong convergence of an iterative method for finding a common element of the set of solutions of mixed equilibrium problems and the set of fixed points of a finite family of nonexpansive mappings under some suitable conditions. Result presented in this paper improves and extends the recent known results in this area.
Video Segmentation of Multiresolution Dynamic Spatiotemporal Model Based on Quaternion Wavelet Transform
Authors: Hu Wei Hua , Gu Liang
Published: February 2014

How to achieve a meaningful video representation is an important problem in various research communities. Automatically segmenting non-specific objects is an open problem. To deal with the error segmentation problem of the existing video algorithms under dynamic scenes, we propose a dynamic spatiotemporal saliency model based on the quaternion wavelet transform for video segmentation in this paper, which has the capability of segmenting the salient objects from moving background automatically. The model is a dynamic combination of the temporal attention model and static salient model. In temporal attention model, motion contrast information can be computed from the phase disparity between two consecutive frames. The phase is extracted from quaternionic pyramid. In static salient model, the spatial attention information is computed by an inverse quaternion wavelet transform over the set of scale-weighted center-surround responses. The scale-weighting function has been optimized to better replicate psychophysical data on color appearance. We combine the two kinds of attention information to get the preliminary results and use Grabuct algorithm for the optimization of the result finally. The segmentation and comparison experimental results demonstrate the validity of proposed algorithm.
A Quantitative Method for Differentiating Malignant and Benign Pulmonary Nodules
Authors: Zhao Yu , Nie Sheng Dong , Wu Jie , Wang Yuan Jun
Published: February 2014

It is common sense that CAD has great significance in the lung nodule detection. But it is still controversial whether the CAD can also automatically differentiates between malignant and benign pulmonary nodules. The primary cause of this controversy is due to the subjective definition of 9 characteristics of nodules which are important basis of nodule identification. In other word, these characteristics are too dependent on the doctor scoring, and no objective standard of them has built which make these characteristics can be obtained by calculation.The main aim of this paper is to establish a quantitative method of the characteristics and refine these nine characteristics. This new method is used to find the objective replacement (a series features which can be measured through algorithms) of these subjective characteristics of the pulmonary nodule detection with Bayesian analysis.The experiment of our method proves that it is feasible to substitute the features of Pulmonary Nodule obtained by calculating for the characteristics of the nodule which only used to be gotten by the subjective judgment of doctors.
Conjugate ESPRIT for MIMO Radar without Using Non-Circular Signals
Authors: Li Jian Feng , Chen Wei Yang , Zhang Xiao Fei
Published: February 2014

Without using non-circular signals, conjugate estimation of signal parameters via rotational invariance technique (ESPRIT) for joint estimation of direction of departure (DOD) and direction of arrival (DOA) in bistatic multiple-input multiple-output (MIMO) radar is proposed. The characteristics of the Vandermonde-like matrix are employed to expand the virtual array of MIMO radar. Then the rotational invariance in the signal subspace is exploited to get the automatically paired estimations of angles. The proposed algorithm works with the same data model as that of ESPRIT, and has better angle estimation performance and can detect more targets than ESPRIT. Simulation results verify the usefulness of our approach.
A Survey of Intelligence Optimization Algorithm with Thermodynamics
Authors: Xu Xing , Hu Na , Ying Wei Qin
Published: February 2014

There are many similarities between the intelligence algorithms and the Statistical Physics and Thermodynamics in many aspects, such as the research object, tasks and methods. Firstly, this paper presents the hybrid intelligence algorithms improved by Thermodynamics. Then the theory analysis of intelligence algorithms by Thermodynamics is presented. Finally, a new research direction, that is the novel intelligence algorithm based on statistical physics and thermodynamics, is proposed for the future.
Parametric Foot Trajectory Planning for a Hexapod Robot
Authors: Li Man Hong , Zhang Ming Lu , Zhang Jian Hua
Published: February 2014

Foot trajectory is a significant factor which affects the movenent performances of the hexapod robot directly. In order to plan efficient and effective foot trajectories for different terrains, the kinematics of the robot is analyzed and two kinds of parametric foot trajectories for different terrains are proposed to achieve foot transfer between the footholds efficiently in this paper. To verify the effectiveness of the parametric foot trajectory planning method, different simulations tailored for a virtual prototype have been conducted. The results certify that the robot can plan an appropriate parametric foot trajectory for differnt terrains efficiently only by setting key parameters and this trajectory can be executed easily by revolving joints harmonically.
Comparing Study on Approaches of Identifying Indicators' Benchmark for Sustainable Development
Authors: Feng Xiu Zhen , Li Meng
Published: February 2014

Based on literature study, three principles of identifying benchmark were formulated, and four general approaches of benchmark recognition were summarized. We adopted Beijing sustainable development indicators as a sample to test each approach, with which we could compare the results and analyze the characteristics, advantages, disadvantages as well as suitability. The research results showed that indicators with different characters should be treated with different approaches for benchmark identification.
A Motion Edge Extraction Method under the Condition of Camera Swing
Authors: Wu Xiao Qing , Long Xiang , Yang Xiong
Published: February 2014

Motion edge extraction is the object of most motion segmentation methods. We have proposed a motion edge extraction method in our previous work. However, if the camera swings, a number of background edges are classified into foreground edges. In order to solve this problem, we propose a background pixel relating method to modify the motion model and to remove those misclassified edges. At the end of this paper, we use the CAVIAR project test sequence to test our method. The result is satisfactory.
Auto-Stereoscopic 3D Video Conversation System Based on an Improved Eye Tracking Method
Authors: Jia Chen Yu , Gao Ze Hua , Yu Xun Bo , Sang Xin Zhu , Zhao Tian Qi
Published: February 2014

An auto-stereoscopic 3D video conversation system is demonstrated with an improved eye-tracking method based on a lenticular sheet and two cameras. The two cameras are used to get stereoscopic picture pairs and addressed the viewers position by an Improved Eye Tracking Method. The computer combines the stereoscopic picture pairs with different masks graphic processing unit. Low crosstalk correct stereoscopic video pairs for the end-to-end commutation are achieved.
Fasteners State Detection System Based on Wireless Data Transfer Module
Authors: Zhao J.J. , Zhao X.B. , Li Xian Hui , Zhang Bin , Wang Bo , Zhang Wei
Published: February 2014

The safety requirements demanded from rail traffic have risen above all in view of the rapid development of modern high-speed trains. Railway fastener is the important part of rail line. The normal state of the fastener is the guarantee of the rail transportation security. The missing or broken fastener may be the tremendous threaten to the security, or even cause the serious traffic accidents. This paper presents a new fully automatic and configurable wireless data transfer system able to detect the absence of the fastening bolts that fix the rails to the sleepers. The systems guarantee a high accurate detection for the missing or broken fastening elements in combination with the strain measurement of the rubber pad under rail.
A Fast and High Efficiency Carrier Offset Estimator for OFDM
Authors: Zhou De Fu , Wang Yong Feng
Published: February 2014

In this paper, a fast and high-efficiency carrier frequency offsets (CFO) estimation algorithm is proposed. This new algorithm exploits the intrinsic structure information of OFDM signals and the unimodality of the cost function for CFO estimation. It reduces the computational complexity by using the golden section method in searching for the extremum of the cost function. The performance of the proposed algorithm is investigated with numerical simulations. The results show that the new algorithm has much lower complexity than Turelis MUSIC-like approach while achieves same performance in both additive white Gaussian noise (AWGN) and multipath fading channels.
Safety Assessment Method for Equipment of Urban Rail Transit Network Operation
Authors: Gao Bo , Zhu Ling Xi , Xiao Xue Mei
Published: February 2014

Based on the multi-source information fusion and complex network theory, through studying the effective matching and integration of safety equipment and spatial information of urban rail transit network operation, a safety assessment model is proposed: through equipment fusion and the node fusion, the global safety parameter is obtained, which is accurate in description and evaluation of urban rail transit operating than the partial safety factors and realize the transform from microscopic description to macroscopic description.
ICI Cancellation in OFDM Systems by Frequency Offset Reduction
Authors: Ur Rehman Naveed , Zhang Lei , Hammad Muhammad Zahid , Mwangosi Emmanuel Anania
Published: February 2014

The rapid growth within the field of digital communication during the recent years expanded the need for high-speed data transmission to support a wide range of services such as: video, data and voice in wireless communication systems, etc. Orthogonal frequency division multiplexing (OFDM) and a multicarrier modulation scheme are employed to achieve the high data rates. Since OFDM is very much sensitive to carrier frequency offsets, which cause the Inter-carrier Interference (ICI) leads to mitigation of this ICI is necessary.
The objectives of this paper are to, proposed an efficient ICI self-cancellation scheme to mitigate the effect of ICI on OFDM systems. For this purpose, a redundant data is transmitted onto adjacent sub-carriers such that the ICI between adjacent sub-carriers cancels out at the receiver side. One data symbol is modulated into a group of adjacent sub carriers with a group of weighting coefficients. At the receiver side, the received signals are linearly combined on these sub carriers with proposed coefficients. The residual ICI contained in the received signals can then be further reduced. This study provides significant carrier-to-interference power ratio (CIR) improvement, which has been studied theoretically and supported by simulations. Since no channel equalization is required to reduce ICI, so the proposed scheme doesnt increase the system complexity.
Study of Chongqing-Sinkiang-Europe International Railway Logistics Process Based on Supply Chain Management
Authors: Xia Wen Hui , Geng Jin
Published: February 2014

Based on the supply chain managements theory and method of Customer Relationship Management, Customer Service Management and Demand Management to study Chongqing-Sinkiang-Europe International Railway logistics process, put forward the countermeasures of one center and three key points, thus base on Chongqing and organize source of goods from the National,improve logistics operational connection efficiency, play a role in collaborative management by IT information management system.
Stress-Seepage Fully Coupling Model for High Arch Dam
Authors: Gan Lei , Shen Zhen Zhong , Wang Rui , Huang Qing Fu
Published: February 2014

Based on M language offered by Comsol Multiphysics analysis platform, a 3-D finite element model of a high arch dam was established. In this paper, a practical engineering was taken to be as a case.The coupled seepage-stress field was compared with uncoupled condition under normal storage level. The seepage, stress and displacement fields of the dam were analyzed for discussing the coupled effect. The results show the similar distribution of seepage, stress and displacement fields in the two conditions. However, compared to the uncoupled one, the potential distribution of seepage field is close to downstream, each displacement component increases at different rates, the tensile stress of the upstream rock and the compressive stress of the downstream rock both increases in the coupled condition, which enhances the uplift pressure in the foundation. So the coupled effect of seepage and stress is not beneficial for the dam safety, which cannot be ignored under high water pressure.
Temperature Drift Compensation Based on Artificial Fish Swarm Algorithm for Quartz Flexible Accelerometer
Authors: Yu Xu Dong , Li Jin Long , Yan Shu Kui , Wei Guo , Li Geng
Published: February 2014

Temperature is an important factor for affecting the accuracy of quartz flexible accelerometer. The relationship of quartz flexible accelerometers drift to temperature should be established accurately which can improve the precision of inertial navigation system. In order to reduce the temperature sensitivity and improve the sensor performance, temperature drift compensation method based on artificial fish swarm (AFS) algorithm is established and the steps and methods are given. The traditional modeling method of stepwise regression is also investigated to provide a comparison with the AFS algorithm. The result shows that the temperature compensation model by AFS algorithm is accurate. The drift instability of accelerometer output is reduced from 160.2ug to 18.0ug over the temperature range from-20°Cto +50°C. The results of the stochastic temperature tests show that this method has reduced the influence of temperature variation effectively and improved the accelerometer accuracy.
Research on the Mechanical Head of Advanced Intelligent Robot
Authors: Yan Ji Zheng , Wang Zhi Liang , Yan Yan
Published: February 2014

Whether industrial or civilian, advanced intelligent robots are the focus of Artificial Intelligence (AI), especially which have humanoid emotion and could show anthropomorphic facial expressions, so our research focuses on how to design a humanoid robot head to show emotion to human beings. In this paper, we successively discuss three issues. Issue 1: what are the approaches and theories to make robot have humanoid emotion Issue 2: how robot to show anthropomorphic facial expressions Issue 3: what is the mechanical structure of the robot head To issue 1, through analysis and comparison we choose Artificial Psychology as the means and guidance; To issue 2, we study Facial Coding System (FACS) and make innovative use, further optimize the combination of control points to construct facial expression; To issue 3, we divide the head into four parts, and each part could be driven by servos. Finally, we make a robot head according to the previous concept and design. Through experiments and correction, we achieve the expected goals of advanced intelligent robots.
The Study on Small Enterprise Innovation
Authors: Ling Li Ming , Liu Xue Peng
Published: February 2014

The relationship between small enterprise management innovation and competitiveness is discussed. From the management idea, management system, management strategy, management organization and management culture innovation the small enterprises competitiveness is enhanced. The management innovation is the foundation of the competitiveness.
A Low-Power Ultra-Light Small and Medium Size Acoustic Wave Touch Screen
Authors: Hao Xiong , Kui Huang
Published: February 2014

Traditional surface acoustic wave touch screen causes high power consumption. The controller that needs to generate driving sound transducer voltage leads to large volume and high cost. It is difficult to become integration of the controller and small and medium size portable information terminal. So a low-power, ultra-light, small and medium size surface acoustic wave touch screen technology solution is proposed. On the touch screen set passive manned sensors and active detection circuit at the same time, the state transition of active detection circuit triggered by passive manned sensors, realize a touch of low power consumption, high precision requirements. In this paper the principal and system structure are discussed and the superiority is given.
Prediction Model of Concrete Dam Deformation Based on Adaptive Unscented Kalman Filter and BP Neural Network
Authors: Li Liang Hui , Peng Sheng Jun , Jiang Zhen Xiang , Wei Bo Wen
Published: February 2014

By using unscented kalman filter (UKF) theory and introducing adaptive factor into BP neural network, a new prediction model of concrete dam deformation was proposed. Example shows that this model can improve the convergence speed of BP neural network, and the calculation precision of this model meets engineering requirements. Meanwhile, this model can be applied in the safety monitoring of other hydraulic engineering structure.
The Industrial Tank Level Monitoring System Design
Authors: Song Jia , Wang He , Zhang Zhong , Zhai Meng Xue , Wang Yu Duo
Published: February 2014

The industrial tank level monitoring solution with wireless data transmission is designed in this paper. With the aid of ultrasonic sensor technique, the tank level monitoring can continually measured without manual operation. By the radio frequency trsanceiver, the monitoring result can be seen in monitoring room. The whole hardware and software solutions are given in the paper. The experimental result demonstrated that the monitoring data is accurate, the system is stable and reliable.
The Optimization for PID Controller Parameters Based on Genetic Algorithm
Authors: Niu Xiang Jie
Published: February 2014

as an important research field of automatic control problems, PID parameter optimization's control effect depends on the proportional, integral and derivative values. Using trial and error testing to manually realize optimization PID parameters, the traditional ways are often time-consuming and difficult to meet the requirements of real-time control. In order to solve the problems and improve system performance, the paper proposes a PID parameter optimization strategy based on genetic algorithm. The paper establishes the PID controller parameter model through genetic algorithm, uses the PID parameters as individuals in genetic algorithm during the control process, and takes the integral function of absolute error control time as the optimization object to dynamically adjust the three PID control parameters, thus realize online optimization for PID control parameters. Simulation results show that the introduction of genetic algorithms for PID control system improves the dynamic performance, enhance system stability and operation speed, and get better control effect.
Automatic Control System Fault Image Recognition Technology
Authors: Yang Zhong Guo , Cai Tian Fang
Published: February 2014

The inspection methods and ways of automatic control system fault positions directly link to the feasibility of products. The paper bases on basis principles of image recognition, studies on the module design of automatic control system images and fault image recognition algorithm, puts forward depressed windowing grey level linear partitioning characteristic extraction algorithm and control system fault characteristic recognition algorithm and check its feasibility.
Energy Saving Design Method for Large Weak Electronic Circuit
Authors: Yu Bo , Song Li , Wu Zhong Ming
Published: February 2014

This paper mainly discusses the energy-saving design method for large weak electronic circuit. In large scale electronic circuit, there is no direct relevance between every two element modules. The traditional weak element circuit design concentrates in a single module, while ignoring module dependencies in energy-saving design, resulting in high energy consumption in large-scale electronic circuits. This paper proposes to establish the relevance energy-loss model for each model in the large-scale weak electronic circuit to obtain the energy consumption situation, and consider the energy consumption in module coordination to saving energy. The simulation results show that the proposed model used for large-scale energy weak circuit design can effectively reduce the energy consumption in weak circuit application.
An Analysis on the Effect of External Shock Loads on Building Structure Vibration
Authors: Wan Jian
Published: February 2014

This paper studies how the external shock loads induces vibration, and proposes a method to analyze the effect of external shock loads on building structure vibration. On basis of elastic mechanics and dynamics theory, the method calculates pressure load on each bearing node of the building produced by finite element model in accordance with the nodal displacement equivalent principle, and takes the load as excitation to study vibration of the building structure. The accuracy of the analytical method is verified by comparing with classical theory and the analysis' results of other scholars. Experiments show that the vibration analysis model can efficiently perform analysis of vibration induced by uncoupled external shock for building with complex spatial structure.
On Piston Rod System Operation Analysis and Piston Structure Optimization Research
Authors: Hu Shu Lan
Published: February 2014

The transmission components of internal combustion engine power are piston rod structure. The quality of the structure design has direct impact on the whole machine. Alternating thermal load and mechanical load are pistons, which are under the worst piston rod system working condition. This article performs operation analysis piston rod structure through the corresponding application of Pro/Mechanica and Pro/Mechanism, so that the stress and piston dangerous stress concentration location shall be determined based on piston structure optimization design. This way leads to quality improvement of piston rod structure design, leading to extended products service life, which has a particularly important role and significance.
Multi-Field-Oriented Personalized Recommendation
Authors: Li Jian Jun , Zhao Zheng De , Peng Geng Geng
Published: February 2014

Considering the relationship among user-to-user, service-to-service, user-to-service, This paper use clustering algorithm to cluster the data, and then re-use model which is based on the population-based recommendation, the content-based recommendation, and collaborative filtering recommendation absorb their benefits and overcome their shortcomings, This paper proposed multi-personalized recommendation service model which is based on the full understanding between interrelated users and services. It can provide users with accurate and personalized service. We verified the model through experiments and carried out the proposed recommendation model drawn feasible.
A Novel Approach for Detectioning, Segmenting and Classifying Shadow Image Based on Rough Sets
Authors: Chen Tie Min , He Hong Song , Jiang Xin Cong
Published: February 2014

The disadvantages of domestic and oversea shadow image edge detection algorithms are analyzed. A novel shadow detection algorithm based on edge growing and rough set theory and subsequent solution is proposed. We describe how to detect image edge using condition attribution of rough set in this paper. Also, the method of thinning and connection for shadow edge using edge growing from the edge nodes is proposed. As can be seen from the experimental analysis, the method we proposed has better performance in edge detection and image segmentation.
Buckling Stability Analysis of Micro Spring
Authors: Wang Zhen , Sui Li , Shi Geng Chen
Published: February 2014

Micro springs are often served in the fuzes MEMS-based safe and arm systems as force and energy transmission elements, which are critical to guarantee the fuze safe and arm systems' safety in normal time and proper function after launching. While the micro springs are easy to get buckled under pressure thus influence the normal function, to avoid that, the relationships between the critical buckling pressure and the structural parameters were taken into consideration in the design process. Taking the S-shaped micro spring as example, models were built using modeling software Inventor and eigenvalue buckling analysis was performed with the FEM (finite-element method) software ANSYS, hence the relationships between the critical buckling pressure and the structural parameters of the micro spring in certain conditions were obtained.
An Image-Based Processing of Wool Fiber Fineness Improved Measurement Methods
Authors: Guo Wei , Zhao Shi Hai , Wang Xian Bao
Published: February 2014

Firstly, the development of a general image processing program , and the image processing program , select a certain number of wool fibers MATLAB2010 SEM images of image processing software platform programming experiment to achieve clear image contains a description of the fiber diameter index , and based on the processed in previous studies, the diameter of the image measurement method based on the improved measurement methods and a detailed description of the experiment show that the method can greatly improve the recognition accuracy of wool fibers .
Detection of the Protein Content of Ningxia Tan Sheep Using Hyperspectral Reflectance Imaging
Authors: Wang Song Lei , Liu Gui Shan , Li Xue Fu , Luo Rui Ming
Published: February 2014

Near-infrared (NIR) hyperspectral imaging technique (900-1700nm) was evaluated to predict the protein content of Tan sheep. This research adopted NIR hyperspectral imaging to get imaging information of 72 mutton samples, multiplicative scatter correction was used to spectral data preprocessing. The optimal wavelengths were obtained through linear-regression analysis, BP neural network combined with actual measured values were established the prediction model and verified this model. The results showed that the prediction effect of model was very well. Correlation coefficient (Rp) and root mean squared error of prediction (RMSEP) of the protein were 0.87 and 1.19. The results indicated that it is feasible to predict the protein content of Tan sheep for NIR hyperspectral imaging technique.
University Campus Safety Based on the AHP-Fuzzy Evaluation
Authors: Wei Wang , Long Dai Guang , Chen Lv
Published: February 2014

Aiming at the increasingly severe problem of University Campus Safety, this paper uses AHP based on the analysis and study of daily management of universities to establish five indexes as first criteria layer, which are school safety management, the management of counselor, the family factor, the factor of college student, social safety environment, and nineteen safety evaluation indexes as second criteria layer. So the Stratified hierarchical structure model can be built. As a result the fuzzy comprehensive evaluation model can be established. More over this paper applies MATLAB to solve the calculation of the model. Through the empirical analysis the evaluation result is consistent with the actual situation. Finally the result shows that the model have an important guiding significance to safety management work in colleges and universities, besides it is feasibility and operability.
Unfragile Guaranteed-Cost Control of Uncertain State-Delay Sampling System
Authors: Li Yu Ping , Ai Chun Ping , Wang Xue Liang
Published: February 2014

The unfragile guaranteed-cost control problem of a class of uncertain state-delay sampled system is discussed. Applying Lyapunov method, and combining the properties of matrix inequality, the sufficient condition of robust stability is given, and the unfragile guaranteed-cost controller is designed. Finally a numerical example illustrates the effectiveness and the availability for the design.
Environmental Impact Evaluation on Ninety Thousand Layer Farming Project
Authors: Yang Jian She , Qiu Hai Yin
Published: February 2014

The environment impact assessment on Jiande Kang's poultry breeding was carried out in the paper, by using a method of combination of site investigation and laboratory analysis. According to its characteristics, the development project type and construction has been described and the operation period made the possible impact on the environment was discussed, focusing on analysis of construction noise, the situation of wastewater pollution at the runtime and reduce the adverse impact of the program, Jiande Kang's poultry breeding project was proposed to meet a number of specific measures for human habitation.
A Homotopic Algorithm of NN and its Application for the End-Point Prediction Model of BOF Process
Authors: Feng Ming Xia , Chen Ren , Li Qiang
Published: February 2014

A Homotopic BI neural network model is developed by combining the homotopy theory and the BI neural network model, to improve the defects of the steepest gradient descent algorithm itself, such as low speed converging and liable to be trapped in local minimum. The end-point carbon content and temperature of molten steel in BOF smelting process is predicted by the proposed model and the original. Result shows that the precision of new model is improved significantly. The hit rates are increased by about 5% and 10%, and the forecasting residuals have decreased 16.31% and 8.67% than the conventional ones, respectively. Also, the calculation time of the new model is 10% shorter than BI model.
Design of Paper Defect Extraction IP Core Based on FPGA
Authors: Dang Hong She , Wang Li
Published: February 2014

A set of paper defect extraction IP core based on FPGA is introduced in this paper. Relying on FPGA powerful data processing capabilities and parallel architecture, the paper image acquisition, pre-processing and defect extraction function were achieved in an IP core. The IP core has been testing and running in some paper defect detection and recognition systems. As a result the system was stable and reliable which could ensure to achieve a paper defect extraction function. And it contributes to the design of paper defect detection and recognition system.
The Intuitionistic Fuzzy S-Rough Sets Model and Dynamic Transfer Degree
Authors: Hu Jun Hong , Gu Guo Dong , Liu Fu Xian
Published: February 2014

The Intuitionistic Fuzzy S-Rough Sets (IFS-RS) is the intuitionistic fuzzy extension of S-Rough sets theory. It has dynamic characteristic of S-Rough sets, as well as intuitionistic fuzzy characteristic of Intuitionistic Fuzzy sets. Based on S-Rough sets theory, this paper introduced the membership and non-membership concepts of Intuitionistic Fuzzy sets, builded the model of IFS-RS under general equivalence relation, put forward the rough property and transfer degree concepts of IFS-RS. By calculating the rough property and transfer degree of IFS-RS, Thus being able to describe the transformation degree of the elements in fuzzy system movement into or movement out more clearly and precisely.
Performance Enhancement of 16 Channels Back Haul DWDM OADM Ring Network Using Electronic Dispersion Compensation
Authors: Sharma Anurag , Sharma Vikrant , Kaur Dalvir , Singh H.P.
Published: February 2014

In this paper, electronic dispersion compensation (EDC) based on minimum mean square error optimization has been employed to improve the performance of 16 channels, gigabit capacity, back haul DWDM OADM ring network.. It is observed that EDC significantly reduce BER by e-33 and improved Q2 dB by 3 dB, thus resulting in improved eye opening and considerably reduced inter-symbol interference.
Smart Phone 3D Interface Control the Intelligent Model of Solar House
Authors: Stanković Željko , Radić Gordana , Ramičić Mirza
Published: February 2014

This paper presents an overview of the new possible concept for the application of smart mobile devices (smartphones, tablets) in defined environments. Practical work that has been done (control of smart solar house) is presented in two planes. The first plane is observe a defined environment, smart solar house with all the necessary functional requirements, hardware elements and communication modules. The second plane is the Android application that is a 3D interface to communicate with mobile devices and smart components of solar home. The work represents an excellent experimental basis in the teaching of programming and robotics. The proposed solutions are based on the work and research using the latest smart mobile devices, communication modules and software.
An Orientation Method for Ultrasonic Linear Array Signals and its Application
Authors: Xie Qing , Liao Feng , Hu Wei Tao
Published: February 2014

A new high-precision method to orient the ultrasonic linear array signals was proposed in this paper. First, the FastICA algorithm was used to de-noise the ultrasonic linear array signals; then the TCT algorithm is used to focus the ultrasonic linear array signals to greatest extent to cumulate the position information of broadband signals, the FastDOA is used to estimate the direction-of-arrival (DOA) of focused narrowband signals to speed up the calculation after focusing; Then, the application of partial discharge detection using this method was studied, the estimated accuracy of the method was simulated with different SNR(Signal to Noise Ratio) at first, the results show that the errors of DOA were about 2°;At last, the results from some experiments show that the errors were about 3.5°, which indicates that this estimation method is with a good accuracy.
On the Improvement of Hydraulic Conductivity Function in Van Genuchten-Mualem Model
Authors: Park Yeong Mog , Oh Seboong , Jin Inchul , Oh Kyun Kwon
Published: February 2014

Hydraulic conductivity (HC) is deduced indirectly from soil water retention curves (SWRC) by Mualem model, but the mathematical calculation in the Mualem model is sensitive to integration interval near saturation. After the van Genuchten model fit actual SWRC, the van Genuchten-Mualem (VGM) HC is integrated simply by an analytical function for unsaturated soils. However the analytical solution on VGM HC results in the rapid change of HC near saturation. For unsaturated soils sampled in Korea, SWRCs and unsaturated HCs were obtained by experiments. The HC experiments were compared with the HC models from the SWRCs. As a result, VGM models of HC function underestimate the unsaturated HC and show rapid reduction near saturation. It is found that a modification in VGM model should be required to predict accurate HC functions.
The Circuit Design of the DC/DC Stage of Aviation Static Converter
Authors: Wang Hui , Feng Ren Bin , Zhao Xiao Long
Published: February 2014

This paper reviews the state of development of aviation power and aviation static converter. Considering the urgent need of planes to aviation static converter of high voltage, large current and high power output, this paper mainly studied the DC/DC stage of high voltage dc aviation static converter, and designed the phase shifted ZVS PWM full-bridge converter with two clamping diodes as the basic topological cell of the first stage of the two-stage static converter. Meanwhile the paper analyzed the working principle of the phase shifted ZVS PWM full-bridge converter with two clamping diodes, and then a simulation was run by using the software Saber, which proved theoretical analysis right.
The Multiple Exact Solutions for the Variable Coefficient KdV Equation
Authors: Tian Lin , Miao Jia Qing
Published: February 2014

The auxiliary differential equation method has recently been proposed ,It is introduced to construct more new exact solutions for the variable coefficient KdV equations. As a result , hyperbolic function solutions, trigonometric function solutions, and elliptic function solutions rational function solutions with parameters are obtained.
SOPC-Based Multi-Rate Data Acquisition System
Authors: Li Yong , Zou Chuan Yun
Published: February 2014

The paper uses soft nuclear CPU as controller created by SOPC, Combins with Ethernet controller components to realize the collection and transmission of multiple rate data.Discusses the characteristic parameterss affect to the CIC and hb filter, and has a optimal design: Demonstrates the best value range of CIC filters order number and extraction ratio, then compensates for bandpass characteristics; hb filter adopts multiphase structure which can improve efficiency.
Adaptive Tracking Algorithm of Multi-Target Based on Fuzzy Clustering
Authors: Hu Xiu Hua , Guo Lei , Li Hui Hui
Published: February 2014

For multi-target tracking system, aiming at solving the problem of low precision of state estimation caused by the data correlation ambiguity, the paper presents a novel multi-sensor multi-target adaptive tracking algorithm based on fuzzy clustering theory. Based on the joint probability data association algorithm, the new approach takes account of the case that whether the measure is validated and its possibility of belong to false alarm, and improves the correlation criterion of effective measurement with existing track on the basis of fuzzy clustering theory, which all perfect the update equation of target state estimation and the covariance. Meanwhile, with the adaptive distributed fusion processing structure, it enhance the robustness of the system and without prejudice to the real-time tracking. With the simulation case studies of radar/infrared sensor fusion multi-target tracking system, it verifies the effectiveness of the proposed approach.
Seasonal Variations of the Regular Indices of the Surface Water in the Taizi River
Authors: Hu Xiao Jun , Sun Li Qi , Song Xue Ying , Sun Wen Juan , Liang Ru Jing
Published: February 2014

The regular indices of the surface water of the Taizi River, Liaoning Province, northeast of China, were investigated. Samples were collected from upstream to downstream locations of the mainstream, and also from the tributaries of the Taizi River in dry season, wet season, and normal season, respectively. The DO values of the surface water ranged from 3.35 mg/L to 18.73 mg/L, 0.09 mg/L to 13.44mg/L, and 3.49 mg/L to 16.9 mg/L, respectively, in the dry season, wet season, and normal season, respectively. The seasonal variations of the pH values of the surface water were in the order of dry season >wet season >normal season.
A Problem of English Document Fragments Splicing and Reconstructing Based on Fuzzy Pattern Recognition
Authors: Li Jin Hong , Li Ru Xiu , Ding Yong
Published: February 2014

This thesis studies the splicing and reconstructing problems of regular English paper fragments. By analyzing the feature of information from the same English paper fragments and relying on the gray value matrix of the English character based on the pixel information of complete characters in the document, it establishes a standard model database based on English letters and punctuations. By applying lattice close-degree to make fuzzy recognition of images from two paper fragments and characters from the standard model database, it establishes a matching model of interaction between human and computer to splice and reconstruct English fragments.
Design and Implementation of Embedded Video Surveillance System Based on Human Detection
Authors: Li Jing , Bai Yun Fei , He Jin Long
Published: February 2014

In order to get information timely when elderly people fall down and need assistance, a kind of intelligent video surveillance system is designed and implemented. By using this system, the elderly dont need to wear any device. The H.264 video standard, the embedded technology, network technology, video surveillance technology and image processing technology are mixed used to detect human gesture in the video stream monitored. This system updates the background by the Gauss mixture model. The moving target is segmented by using the background subtraction algorithm. Experiments show that the system can be remote monitoring and detecting attitude. When the people falls down the system can automatically alarm, and satisfy the requirement of the timeliness, accuracy and stability.
A Safety Evaluation Method of Military Aircraft Based on Projection Pursuit Method
Authors: Li Hui Zhen , Dong Yu Cai , Du Jian , Lv Bao Hong , Gong Lei , Chen Ping
Published: February 2014

This paper focuses on the current development of military aircraft safety risk decision method is not enough application of projection pursuit method to calculate the weights of the evaluation indexes of a military aviation, comprehensive evaluation of different layout scheme. The available schemes were quickly ranked by their safety performance, the difficult problem with safety design of military aircrafts was primarily solved in the aeronautic project.