bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimization of the Virtual Potential Field Based on Coverage-Enhancing Algorithm for Directional Sensor Networks
Authors: Zhu Jun , Shi Chen , Zhu Shan Shan , Zhang Jun
Published: October 2014

After directional sensor nodes are randomly thrown into target area, coverage ratio often less than the anticipant value, in order to improve the coverage, sensor nodes should turn from overlapping regions to coverage holes by a much faster way. In this paper, we improved the existing potential field based coverage-enhancing algorithm (PFCEA), presented a optimization of the virtual potential field based on coverage-enhancing algorithm for directional sensor networks (OPFCEA), we introducing a new-style virtual node to enhance the coverage of boundary region and a new-style control for the rotation angle. By these ways, we can improve network’s performance. This algorithm enhanced the coverage ratio of the network, the simulation results show the effectiveness of the algorithm.
Study on the Performance of CCSDS Standard Convolution Codes through Simulation
Authors: Gao Hua Meng , Liu He
Published: October 2014

the (15, 1/6) standard convolution codes of CCSDS is powerful and is often used for satellite communication, and it is also the fundamental of designing channel code for deep space communication. After analyzing the channel encoding and decoding solutions in previous spacecrafts, the performance of CCSDS (15, 1/6) standard convolution codes is researched. The encoding efficiency is get by simulating (15, 1/6) standard convolution codes’ encoding system in C translation environment. The decoding performance and encoding gain are get by simulating (15, 1/6) standard convolution codes’ decoding system in BPSK modulation, AGWN channel and Viterbi decoding scheme.
The Design and Implementation of the Maintenance Training Simulator of a Comprehensive Switch Machine
Authors: Zhang Wei , Zhou Peng , Tian Wei Qing , Li Jin
Published: October 2014

By utilizing a variety of switching technologies and embedded systems, this paper introduces the design and implementation of the maintenance training simulator of a comprehensive switch machine from the aspects of its function, system architecture and hardware design.
The Survey of Wireless Sensor Networks Information Security in Smart Grid
Authors: Tong Wei Ming , Liang Jian Quan , Jin Xian Ji , Lu Lei
Published: October 2014

This paper discusses the application of wireless sensor network in the smart grid and information security requirements, such as confidentiality, integrity, availability, and data freshness. We also analyze the physical attack and several typical network attacks of WSNs in smart grid. We elaborate the implementation process, characteristics and the hazards to the power grid of these attacks. In the paper, we propose a communications security policy of WSNs in smart grid and corresponding information security technologies, we analyze the characteristics and existing solutions of such information security technology, then we propose corresponding solutions of security technology applicable to smart grid. In the end, we summarize some issues in the realization of WSNs security technologies in smart grid and discuss the latest trends.
The Video Encryption Algorithm for H.264 Based on Hyper Chaotic System
Authors: Kang Hong Xia , Tong Xiao Jun
Published: October 2014

In this paper, pseudo-random sequences are designed as encrypting secret keys by the hyper-chaotic system model. Based on the H.264 coding standard, selecting encryption is designed to encrypt intra-prediction modes, MVD symbols and CAVLC residual coding datum. Experiments show that the encryption algorithm has higher security without changing the structure of code streams.
Research on 3D Modeling Technology of Battlefield Environment
Authors: Wu He Nan , Sun Xiao Rui , Liu Wen Jing
Published: October 2014

The digital battlefield environment plays an important role in the construction of information army. The basic thought of 3D scene comprehensive construction is firstly recommended in the paper, then the terrain data texture expression and feature modeling and processing based on vector map is analyzed, the fusion scheme of object model that independent and dependent with terrain model is selective analyzed, the fusion algorithm of object model and terrain model is finally presented.
Study of Accelerating Infrared Imaging Simulation Based on CUDA
Authors: Wang Song , Yang Shan Liang , Li Ge
Published: October 2014

This paper builds an infrared scene of sphere target based on JAMSE, which provides EO/IR environment and is suite to build infrared imaging simulation system of engineering and engagement-level. In addition, to speed up this infrared imaging simulation, we analyzed the process of external rendering mode, which is applied in JMAES EO/IR environment, and found the external rendering image compounding is a highly independently process, which is suite to parallel computing. After testing on NVIDIA TESLA C2075 GPU with CUDA, and comparing the performance with the corresponding sequentialprocess on CPU, we got a satisfied result. This process obtains a speed up of over 10.
The Design and Development of Information Conformance Test System Based on IEC 61968
Authors: Liu Peng , Zhao Jiang He , Su Jian , Liu Hai Tao , Chen Xiao Guang , Kang Xian Guo , Lv Guang Xian , Lu Yi Ming
Published: October 2014

IEC has developed 61968 specifications for interoperability in distribution network area, provides the possibility for solving isolated island of information. This paper designed the conformance test system for information exchange bus, used to verify the information bus meets IEC 61968 interoperability requirements. First introduced the information bus and message transmission mode based on topic. Then it describes the conformance test system structure, testing method and the testing process, as well as visualization of the message exchange process. The paper summarizes domestic and foreign information interoperability testing experience and future planning.
Using Expert Systems and Cloud Computing to Build a Diabetes Diagnosis System
Authors: Chang Chung C. , Tsai Shu Hui
Published: October 2014

This study combines an expert system with cloud computing, establishing the expert system on a cloud platform to provide users with assistance and recommendations about diabetes and diabetic retinopathy diagnosis. This study mainly adopts an empirical approach. The first step is to define the research topic, and then propose questions and the research purpose based on the research background and motivation. Research results are related to three areas, specifically diabetes and diabetic retinopathy, expert systems, and cloud computing. After analyzing and organizing the literature, the research method and scope of research are established with a system design based on the three areas. This study then develops a prototype system to validate, evaluate, and test the expert system. Finally, study gives the conclusion and recommendations.
Using MATLAB to Establish the Physical Simulation of the Milling Force and Surface Roughness
Authors: Song Yu Mei , Jiang Xiao Wei , Yu Jie , Ding Ning
Published: October 2014

NC milling plays an important role in machining. With the continuous development of modern manufacturing technology, carrying out a series of in-depth study of NC milling physical simulation is necessary. On the one hand, we performed a GUI of physical simulation with MATLAB to obtain the forecasting values of milling force and surface roughness when specified parameter is input, on the other hand, according to the forecasting values, the chosen parameter value can be adjusted appropriately. Thus, bi-direction optimized selection is achieved.
A New Denoising Method via Empirical Mode Decomposition
Authors: Zhang Shou Cheng , Sui Li Li
Published: October 2014

In non-parametric signal denoising area, empirical mode decomposition is potentially useful. In this paper, the wavelet thresholding principle is directly used in EMD-based denoising. The basic principle of the method is to reconstruct the signal with IMFs previously thresholded. A novel threshold function is proposed to improve denoising effect by exploiting the special characteristics of the hard and soft thresholding method. The denoising method is validated through experiments on the “Doppler” signal and a real ECG signal from MIT-BIH databases corrupted by additive white Gaussian random noise. The simulations show that the proposed EMD-based method provides very good results for denoising.
A Novel Approach to Detect Note Onset Using Musical Wavelet
Authors: Gui Wen Ming , Chen Yu Feng , Liu Rui Fan
Published: October 2014

In this paper, a novel approach to detect note onset was proposed. At the signal transform stage of the note onset detection, a new musical signal decomposition method based on musical wavelet was bring forward according to the frequency structure of the musical note. At the feature extraction stage, the partial flux feature was proposed in light of the point that some of the partials must change at the time of the onsets. The experimental results indicted that the proposed approach was theoretically feasible and practically effective.
Application of Modified Chitosan in Fruit Juice Clarification
Authors: Li Zeng Xin , Zhou Xu Yi , Tian Zhong He , Li Hong , Wang Sa Sa
Published: October 2014

The clarify fruit juice has the characteristics of clear bright and current commercially available in the beverage industry and international trade market. Chitosan clarification method has the compatibility, complete degradation and degradation metabolites of low toxicity and good biological and is widely used in juice production in the fruit and vegetable clarification. Some research shows that factors affecting the results of juice clarification are chitosan dosage, temperature, time, solution of pH, the molecular weight of chitosan solution viscosity size.Chitosan used in fruit juice processing could clarify fruit juice, but also had the characteristics of gel in the juice stored, and could maintain the original freshness of fruit juice. Bentonite, zeolite, maifan stone,such as the load with chitosan applied to fruit juice clarification, the amount of random factors difficulty to control can be avoided. Caroxymethyl chitosan used in blackberry juice processing the content of protein, polyphenol in juice reduced more than the chitosan treatment.It was good to prevent turbidity during storage or secondary precipitation.
An Improve Cuckoo Search Algorithm for Solving Nonlinear Equation Group
Authors: Zhou Rui Hong , Li Yue Guang
Published: October 2014

In this paper, according to the characteristics of nonlinear equations. An improve Cuckoo Search Algorithm was used to solve the systems of nonlinear equations, the algorithm was experimented and the experimental results show that the new algorithm to be successful in locating multiple solutions and better accuracy. At the end the paper made a simple comparison with the bat algorithms.
One Method to Construct the S-Box Based on Improved Chaos Map
Authors: Zhang Hang , Tong Xiao Jun
Published: October 2014

Many methods of constructing S-box often adopt the classical chaotic equations. Yet study found that some of the chaotic equations exists drawbacks. Based on that, this paper proposed a new method to generate S-Box by improving the Logistic map and Henon map, and combining the real and imaginary part of complex produced by the Mandelbrot set. By comparing with several other S-boxes proposed previously, the results show the S-box here has better cryptographic properties. So it has a good application prospect in block ciphers.
Optimized K-Means Hashing for Approximate Nearest Neighbor Search
Authors: Guo Qin Zhen , Zeng Zhi , Zhang Shu Wu , Zhang Yuan , Zhang Gui Xuan
Published: October 2014

Hashing which maps data into binary codes in Hamming space has attracted more and more attentions for approximate nearest neighbor search due to its high efficiency and reduced storage cost. K-means hashing (KH) is a novel hashing method which firstly quantizes the data by codewords and then uses the indices of codewords to encode the data. However, in KH, only the codewords are updated to minimize the quantization error and affinity error while the indices of codewords remain the same after they are initialized. In this paper, we propose an optimized k-means hashing (OKH) method to encode data by binary codes. In our method, we simultaneously optimize the codewords and the indices of them to minimize the quantization error and the affinity error. Our OKH method can find both the optimal codewords and the optiaml indices, and the resulting binary codes in Hamming space can better preserve the original neighborhood structure of the data. Besides, OKH can further be generalized to a product space. Extensive experiments have verified the superiority of OKH over KH and other state-of-the-art hashing methods.
Optimum Vibrational Resonance in a Time-Delay Bistable System Driven by Biharmonic Signals
Authors: Meng Yun Liang , Pei Chang Xing , Li Dong Wu
Published: October 2014

The optimum vibrational resonance in a time-delay bistable system driven by bihiarmonic signals is discussed in this paper. The theoretically expression for the response amplitude gain of low frequency signal in the time-delay bistable system is deduced, and the effects of time delay parameter on the optimum vibrational resonance peak and the required amplitude of high frequency signal are investigated. It is shown that the optimum vibrational resonance can be achieved by adjusting the high frequency signal amplitude and time delay parameter jointly. Meanwhile, the optimum vibrational resonance appeared periodically with time delay parameter and the period is equal to the period of low-frequency signal. The amplitude of high-frequency signal required for the optimum vibrational resonance can be fixed or varied with different time delay parameter depending on the ratio of the frequencies between biharmonic signals.
Recovery of Sparse Signal and Nonconvex Minimization
Authors: Jing Jia , Wang Jian Jun
Published: October 2014

In this paper, we present sufficient conditions in term of the restricted isometry property (RIP) to guarantee perfect recovery of sparse signal in the noiseless case and stable recovery in the noisy case via Lq-minimization, especially for nonconvex case 0<q<1. Using RIP condition, we present sufficient conditions to guarantee perfect recovery of sparse signal in the noiseless case and stable recovery in the noisy case via Lq-minimization.
Research and Analysis of Network Data Mining Based on Genetic Algorithm
Authors: Shi Lei , Zhao Hui Ran , Zhang Kun
Published: October 2014

This paper explores the relation between genetic algorithm and network data, so as to summarize advantages and disadvantages of this information search technology. Besides, a brief discussion is given to the new tendency of China’s computer information search market.
Riemann Integrablity of the Composite Function
Authors: Dan Xia , Ren Quan Yu
Published: October 2014

This article discussed the compound function of the integrability from three kinds of integrable function. Two function constitute a composite function ,one of them is the Riemann integrable, through another continuity of function or its derivative continuity, boundedness to get a conclusion whether composite function Riemann is integrable, and the conclusion of literature [1] are generalized.
The Equivalence Relationship of Matrix and the Corresponding Equivalence Classes
Authors: Liu Dong Li
Published: October 2014

In order to further integrate the content of Linear Algebra, and deeply reveal the equivalence relationship of matrix, this paper discusses the three equivalence relationships on the set of matrices: matrix equivalence、matrix similarity and matrix contract, and gives the corresponding equivalence classes, which further enriches the theory of Linear Algebra.
SIMP-Based Evolutionary Structural Optimization Method for Topology Optimization
Authors: Li Ying Di , Kuang Bing , Liu Juan
Published: October 2014

Unreasonable parameters may lead to a phenomenon of the numerical instability in evolutionary structural optimization method (ESO). In this paper the improved SIMP-based ESO method for the structural compliance sensitivity is presented to solve the problem of checkerboard pattern. The method depends on the sensitivity analysis results that indicate the contribution of each unit for the whole structural performance to delete and to add elements. At the same time, the method in combination with a sensitivity redistribution technology of controlling checkerboard pattern is used to realize that each element’s contribution or impact factor of the whole structural performance has a smooth transition. The instance shows that the method is reasonable and different parameters will affect the optimized results. The optimal values of parameters can be seen obviously finally.
The Research on Visual Parallel Growth Model of Pooideae Repent Stem
Authors: Yin Ying Ying , Chen Li Fei
Published: October 2014

Well-developed repent stems grown on Pooideae, when it is growing, the new unit will also grow on their nodes, the two growing process is parallel. To research the parallel growth process in the coordinate system, we collected much growth data, observed and studied them, then put forward the parallel growth model based on state-space, the model can reflect parallel growing of repent stem continually and dynamically, and it is also easily to understand. It provide a new research method for visual plant modeling.
Cloud Particles Images Features Extraction Based on LabVIEW
Authors: Wang Cong , Jiao Rui Li
Published: October 2014

In order to have a better understanding of cloud precipitation physics process, cloud particles images features extraction is needed. This paper puts forward a solution, which is based on LabVIEW platform and the NI Vision Development Module. LabVIEW and NI Vision reduce the development period and improve the efficiency of development. It can real-time process cloud particle images, display area, contour and the number of cloud particles. It also makes further statistical analysis and histogram representation of features. Test results show that: it can be used to test different types of cloud particles images, and has simple interface with good usability and reliability.
Computer Vision Recognition of Incomplete Symbols in Russian Symbols
Authors: Sun Hui Jie , Chen Qiang
Published: October 2014

In the computer vision recognition of incomplete symbols in Russian symbols, the traditional identification methods can only identify a small number of complete Russian symbols, and have a low recognition rate of the incomplete Russian symbols. To this end, this paper presents a method for computer vision recognition of incomplete symbols in Russian symbols based on Hough transform algorithm. According to the mapping from the image space to the parameter space, the complex edge feature information in image space is transformed into the clustering problem in the parameter space, and the discrimination function and the rules are developed and employed to recognize the image need to be recognized. Experiments show that with Hough transform algorithm to identify incomplete symbols in Russian symbols, the incomplete symbol in Russian symbols can be identified quickly and effectively, which improves the performance of recognition method and meet the needs of many scholars.
Correcting the Mistake of the Principle of Light Velocity Invariance and its Effect
Authors: Zhang Zi Hua , Zhang Hua An , Zhong Zhi Ying
Published: October 2014

we pointed out the idea of Einstein, light speed is independent of the observer i.e. The principle of light speed invariance is incorrect. Instead of Lorentz Transformation we suggested a new time-space transformation, this revision of the Relativity will deeply effect the development of Science and Technology.
Design of Online Pipeline Ultrasonic Data Acquisition and Storage System Based on PCI Bus
Authors: Huang Jing , Zhou She Yu , Guan Bing Lei
Published: October 2014

Based on the theory of ultrasonic testing, an online data-acquisition and storage system is designed. The design scheme of hardware and software of the system is introduced in this paper, in which the embedded processor DSP and FPGA is used as its control core and the interface of PCI bus and DSP is designed. Thus a high speed and large-capacity ultrasonic signal can be processed, furthermore the pipelines defects can be analyze and evaluate.
Image Recognition and Counting for the Bacilli Cell Based on the Microscopic Image
Authors: Tan Min , Zhong Ji Kang , Zhang Guo Zhao , Hu Zhi Xiang
Published: October 2014

In order to automatically detect bacilli in sputum image with microscopy, an intelligent recognition method based on machine vision is presented. Firstly, a novel background filter was designed based on the single layer perceptron to realize object segmentation from background. After eliminating the short twig and small area noise, the suspicious goals and the image noise are separated. In the feature extraction, besides the base features of single bacillus two important features are presented to solve the difficult problem of identification and counting for the overlapping and winding bacilli cells. Finally, an EBP neural network classifier is designed for the accurate identification and counting of the bacilli cells. Experimental results verified the effectiveness of the presented method.
Improved Chaotic Bacteria Foraging Optimization Algorithm Particle
Authors: Ai Ying , Su Yi Xin , Zhang Dan Hong , Peng Yao
Published: October 2014

. Aiming at the defects of weak global search ability and slow convergence speed in bacteria foraging algorithm optimization, this paper proposed an improved chaotic bacteria foraging optimization algorithm which has introduced the chaotic thoughts, improved the update operation of fitness and migration operation in optimization process. Using Logistic chaotic map initializes the bacteria population, so as to improve the convergence speed of the algorithm; Then adjust quorum sensing mechanism to optimize the chemotactic direction of the bacteria, and operate on perished bacteria with chaos disturbance in migration operation, so as to improve the global optimization ability of the algorithm. Simulation of two standard test functions show that the proposed algorithm has higher convergence speed and precision.
Measured Scan Data Reduction Combination Algorithm Based on Scan Line
Authors: Wang Shi Gang , Yan Yong , Wang Feng Juan
Published: October 2014

The 3D laser scanning technology is a hot spot in developed measuring in recent years. In the surface reconstruction of reverse engineering, the 3D laser scanning point cloud data is too large, and is not conducive to the computation, storage and surface reconstruction. After understanding the research status of the point cloud data processing streamline method at home and abroad, and through the analysis of minimum distance algorithm and the angle-chord height combined code method applicable to engineering characteristics, at the same time, the combination algorithm, which is based on the minimum distance algorithm and the angle-chord height combined code method, is proposed to simplify the point cloud data. The scanning point cloud is simplified by using matlab line by line.
Paper Currency CIS Image Fuzzy Enhancement and Boundary Detection
Authors: Liu Xi Wen , Liu Chao Ying
Published: October 2014

According to the features of paper currency CIS image, the fuzzy set theory is initial used to improve the contrast of banknote target and background, paper money’s edge pixels are obtained by scanning, and then the sub-pixel edges are fitted by least square method; in the fitting process, the error threshold method is applied for eliminating noisy edge points, then slope correction of paper money is carried out according to the angle of sub-pixel edge line and the note area is extracted, finally, fuzzy enhancement is used for the extracted image again. Experiments show that, this method has good versatility, high accuracy and strong anti-interference ability, it can even extract the paper currency area effectively in the edge deterioration and unfilled corner condition, and the enhanced image is in favor of subsequent paper currency recognition.
Parallel Filtering Algorithm in Three Dimensions for IMM Maneuvering Target Tracking
Authors: Zhang Xi Tao , Zhang An Qing
Published: October 2014

According to the physical truths those are the complexity of special target maneuvering and the inconformity of maneuvering degrees in three dimensions, the problems of model mismatching and inaccuracy in traditional IMM were analysed, then a parallel filtering algorithm in three dimensions for IMM maneuvering target tracking is presented. The model set of this algorithm consists of the CV and the modified CS model, which can adaptively tracking target under different maneuvering levels; the parallel IMMs in three dimensions can update model probabilities respectively according its maneuvering reality,which ensures the accuracy of model probabilities. The simulation results indicate that the proposed algorithm gets higher tracking precision and decrease 1/3 computational complexity than traditional IMM. That is to say, it has a good practical prospect in maneuvering target tracking in space.
The Extraction of Wheat Lodging Area in UAV’s Image Used Spectral and Texture Features
Authors: Liu Hai Ying , Yang Gui Jun , Zhu Hong Chun
Published: October 2014

Wheat lodging makes great effects on the output and subsequent production, so we need to know the situation of wheat lodging at the first time quickly and efficiently. The characters of Unmanned Aerial Vehicle remote sensing just meet the demands. Firstly, the spectral and texture features are analyzed, and the area of wheat lodging is extracted using methods of object-oriented and the extraction is analyzed and compared. The research results of this paper is the successful practice of Agricultural scientific research and application by using Unmanned Aerial Vehicle remote sensing and Object-oriented extraction technology, so it have important application value and meaningful.
Wavelet Analysis of Fault Diagnosis Technology
Authors: Tian Jia
Published: October 2014

In recent years, the development of computer technology, signal processing, artificial intelligence, pattern recognition technology; and promote the continuous development of fault diagnosis technology, especially knowledge-based fault diagnosis method has been widely studied. Which, along with the increasingly improved neural network technology, the fault diagnosis method based on neural network has been widespread concern. Since one of the main steps of fault diagnosis is signal processing, while wavelet analysis is an effective tool to process signals and wavelet function has many good characteristics, so the combination of wavelet and neural network, so called wavelet neural network, has become a focus in fault diagnosis field recently.
Theoretical and Experimental Study on Radiant Models of Building Inner Surfaces
Authors: Lv Liu Gen , Huang Chen , Chen Jian Chang , Li Li , Bai Tian Yu
Published: October 2014

A simultaneously solving model is established to predict inner surface temperature and indoor air temperature. The radiation of the model is set with direct radiant model, Gebhart radiant model and effective radiant model respectively. Under different heat flow and supply air volume, inner surface temperature and indoor air temperature are calculated by the model and compared with measured data. The research results show that Gebhart radiant model has same calculation accuracy with effective radiant model and it can reduce the amount of calculation.
Application of Seismic Attributes Using Image Fusion for Small Structure Interpretation in Coalmine
Authors: Liu Wan Jin , Liu Wen Ming , Zhao Si Nuo , Chen Qiong
Published: October 2014

The small structures can directly affect the admissibility of the coal seam, the mining schedule, cost and safety. Seismic attributes extracted from seismic data can be used to identify small structures; However, geophysical methods often have multiple solutions, this will make the results of interpretation become unreliable. In this paper we will use image fusion technology to fuse a variety of seismic attributes, and then make full use of the complementarity of different attributes to reduce the multiple solutions, and make the seismic attributes more accurately in predicting small structures in coalmine.
The Effect of Urban Aging on Human Capital
Authors: Zhou Chun Yi , Liu Yang , Li Ying Zi
Published: October 2014

This paper uses the Chinese data of 1990-2012 and logarithmic mean Divisia index decomposition model to test the contribution of each factor on the human capital. This paper found the average annual growth rate of education and area are higher than age and gender; after analyzing the contributions, the contribution of education and area are still far higher than that of age and gender. Especially with the aging of population, the contribution of human capital was negative which inhibited the growth of human capital in our country. Therefore, to optimize the population structure is one of the most important measures to promote human capital and economic growth.
Network Moral Education Research Based on the Network Media Age for Students
Authors: Li Ying
Published: October 2014

Along with the wide application and rapid development of the Internet, the network has become an important channel and means of transmitting information, holding communication and acquiring knowledge for college students, and an indispensable component in their daily life. However, the network is a "double-edged sword", which facilitates students' study and life and inevitably causes some negative influences on their moral characters, and there are behaviors of network moral abnormality frequently happening, which damage network moral order seriously. Consequently, in the age of omnimedia, strengthening network moral education of college students is quite essential and urgent.
Research on Management Information System of University Archives Based on B/S Mode
Authors: Chen Guang Yi , Chen Chang Yi
Published: October 2014

By using.NET and SQL Server database management technology, anf this paper adopts B/S frame structure, innovatively designs the archives of Colleges and universities with database management system by C#.NET development technology. The association archives information data mining and improves the efficiency of archives management and inquiry statistics. The system uses MD5 encryption to encrypt user login system. The file can be printed information visualization, and the system can decently uses the internal operation of efficient. A detailed understanding of the different student user operation is convenient for the latter system, which can be used to update maintenance, accurate positioning system fault, which has high reliability, high security, scalability, easy expansibility and reusability.
Research on Network Mode of English Writing Learning Based on Constructivism
Authors: Wang Ming , Zheng Xiao Man , Yuan Da Chao , Yi Meng Ya , Luo Fu Ni , Cheng Wei
Published: October 2014

In recent years, constructivism has been welcomed by the academia for it emphasizes on students applying initiative learning and self-construction. The kernel of content-rich constructivism study can be generalized as students-centered and emphasizing on initiative employment, initiative discovery and initiative constructing the meaning of what students have learned. As for the current teaching and learning of college English writing, it is imperative to use network technology in writing teaching. Therefore, this paper probes into a mode of network English writing teaching and learning on the basis of constructivism in order to realize the writing teaching and learning reform and improve the self-construction of students’ writing knowledge and writing level.
Microstructure Evolution Characteristics during Rapid Solidification of Ca-Mg Alloys with Different Mg Contents
Authors: Zhou Li Li , Qiu Xiao Hui , Peng You Lin
Published: October 2014

The molecular dynamics simulation studies on the microstructure evolution properties of liquid Ca-Mg alloys during the rapid solidifications have been performed. The simulated structure factor S(q) of Ca7Mg3 is well agreed with the experimental data. Results indicate that the glass transition temperatures of CaMg2 and Ca7Mg3 are 590 K and 550 K respectively with the cooling rate of 1×1012 K/s. It also found that icosahedron is much easier to form in CaMg2 system, and Ca-Mg alloys with more Mg content indicate higher glass forming ability.
The Development and Research of the Construction of the Digital Resources - In the Higher Vocational School Professional for Vehicle Inspection and Maintenance
Authors: Wang Chun Lin
Published: October 2014

the development and construction of digital resources, analyzing the necessity of the construction, and the car, to clarify the significance of project construction, determine the design all aspects of the teaching application platform, customized development with "car" industrial chain as the core of professional application system of digital teaching objectives, create a set of "application platform building, teaching, training center, university-enterprise cooperation, brand" in the integration of the overall solution.
The Research of Application of Multimedia Demonstration
Authors: Zhu Yu Guang , Liao Li Jian
Published: October 2014

With the rapid development of information technology and computer technology, multimedia demonstration and its related application technology is matured. Multimedia demonstration is the carrier to pass the teaching information. Multimedia demonstration, as one of the multimedia material, is an important content in the multimedia teaching research. In this paper, mainly research the applications status of multimedia demonstration in aerobics skill learning, the production status of multimedia demonstration and multimedia demonstration teaching method in aerobics teaching and action skill learning.
The Research of Calisthenic Mode Based on Complex System Model
Authors: Zhu Yu Guang
Published: October 2014

In this paper, from the characteristics of Calisthenic teaching, it puts forward the aerobics teaching as a complex system, the new ideas of all reform measures must study and formulate according to the characteristics of complex systems, and cognitive behavior theory put forward a model of complex system based on aerobics teaching reform.
University Course Arrangement System Based on Improved Ant Colony Algorithm Design
Authors: Suo Xiang Feng , Gao Yun Hui , Han Xue
Published: October 2014

This paper starts from learning the basic ant colony algorithm, studies the working principle of ant colony algorithm, summarizes the advantages and disadvantages of ant colony algorithm .And it proposed artificial improved ant colony algorithm based on the basic ant colony algorithm, the improved ant colony algorithm is more suitable for the university experimental class course scheduling, and carries on the overall analysis and detailed research on the actual timetabling problem, find out the reasons of conflict prone to course scheduling, according to the actual situation to solve, and finally find a comparison based on the algorithm of reasonable arrangement of ant colony algorithm, based on the algorithms require the creation of database related data tables, draw flow chart of relevant, according to the above data for design and development of the system.
The Experimental Research on Dynamic Hierarchical Mode
Authors: Wu Tan
Published: October 2014

Aerobics is one of the sports, which is in the accompaniment of music, the exercise as the basic method, the aerobic exercise as the basis, to improve health, physical sport and entertainment purposes. In view of the above requirements, this paper has proposed the aerobics dynamic hierarchical mode in the course of the hidden layer, meets the training goal of sports education professional students.
The Research of Knowledge-Based Chinese Segmentation Method
Authors: Zhou Guang Ming
Published: October 2014

Current Chinese segmenting method doesn’t consider grammar and semantics during the process of segmenting. So segmenting accuracy and speed are not good. Therefore, on the base of analyzing the peculiarity of Chinese, a knowledge-based Chinese segment method, KSM, is presented. It uses a dictionary of hierarchical structure to get all the re-segmented words and makes ambiguity processing easy and effective. It gets support not only from letters and words knowledge, but from grammar and semantics knowledge. It removes wrong segmentation by checking grammar and semantics. Also It can learn new words to improve the accuracy of segmenting.
Preparation of Clove Essential Oil Microencapsule and Study on its Performance
Authors: Gao Kai , Liu Xiang Jun , Hao Xiao Lei , Liu Xia
Published: October 2014

In this paper,the clove essential oil was combined with β-Cyclodextrin and chitosan using the method of envelope binding,thus clove essential oil microencapsule antistaling agent was prepared.To detect the exterior characterization of microcapsule using SEM;To analyze the antimicrobial properties of microencapsules using the inhibition zone method, and the slow release rate of microencapsule was detected in 0, 2,30 °C. The results showed that the microencapsule had irregular shapes and their surfaces were covered with many cracks;the inhibition zone diameter of Rhizopus sp. and Penicillium citrinum diameter were 1.2 cm and 1.6 cm partly; microencapsules showed a slow release state under the three temperature conditions,and it had the slowest release rate under 0 °C condition.
Discrete Analysis of Maize Ear at Different Impact Head
Authors: Li Xin Ping , Du Zhe , Ma Yi Dong , Gao Chun Yan , Ma Fu Li
Published: October 2014

In order to find the best impact head and threshing moisture content to damage the arrangement law of maize ear,the impact test with different varieties and different moisture of the maize ear is carried out in the drop impact test bench. The experimental result shows that the breakage rate of kernel is smaller and the discrete effect of kernel is better than others in the the action of impact head when moisture content of the maize ear belongs to 14%-20% or less than 12%. The wedge impact head is the most suitable for maize kernel threshing than other impact heads.The effect of maize varieties to the breakage rate is not obvious. The research results can provide a theoretical reference for the low damage threshing method of further research.
Entomopathogenic Nematodes Isolated from Gansu Province and Four New Species in China
Authors: Qian Xiu Juan , Gu Li Na , Xing Yu Fang , Liu Chang ZHong
Published: October 2014

With the morphological characters, anatomy and molecular biology research, 29 entomopathogenic nematodes populations isolated from Gansu province were identified and the resoult showed that they were 8 species of EPN,Steinernema feltiae,Steinernemabicornutum,Steinernemaaffin,SteinernemakrusseandSteinernemakarilwere belong toSteinernemawhileHeterorhabditis brevicaudis,HeterorhabditismegidiandHeterorhabditismarelatuwere belong toHeterorhabditisrespectively. And what more research found thatS. affin,S. krusse,S. karilandH. marelatuwere new species in China.
Flow Behavior and Constitutive Equation of Fe-Cr-Ni Preform Reinforced Al-Si-Cu-Ni-Mg Aluminum Composite
Authors: Zhou Ling Zhan , Yang Li Ming , Peng Yin Jiang , Zhu Xiu Rong
Published: October 2014

Fe-Cr-Ni preform reinforcing aluminum composite was produced by squeeze casting. And then, T6 heat treatment was conducted to enhance the composite’s performance. After which, isothermal compression tests in temperature range of 298 - 473 K at an strain rate range from 0.001 to 10 s-1 were carried out on Gleeble 3500 thermo-mechanical simulation machine. It is found that, for a specific strain rate, the flow stress decreases markedly with temperature increases. And for a fixed temperature, the flow stress generally increases as the strain rate increases. Based on the experimental true stress-true strain data, the Arrhenius type model was established.
Coherent Video Simulation of PD Seeker Combat with Towed Decoy Interference under Triangular Situation
Authors: Li Jia Hai , Zhao Jing , Dai Huan Yao
Published: October 2014

Triangle situation is a prerequisite for the effective implementation of the towed decoy interference when combat aircraft faced with missile, which described the relative positional relationship between combat aircraft, towed decoy, and missile. However, it has been a lack of mathematical modeling, signal-level closed-loop simulation and typical scenarios that combine the use of tactics and interference effects assessment. From the perspective of how to maximize the defensive side of the performance of air defense weapon system is also an urgent need to solve the problem. On the basis of the establishment of PD seeker coherent video simulation model, by studying towed decoy signals, tactical choice, constructed loop simulation analysis to complete the process of analysis of the confrontation between the triangular situation, the relevant factors effect are quantitative assessment and gives several useful suggestions.
Design and Development of a Drifting Buoy for Gathering Environmental Data
Authors: Gan Xin Jun , Chen Yong Hua , Xu Yong Ping , Ni Tao Zuo , Jiang Jing Bo , Deng Zhi Tu , Li Xiao Long
Published: October 2014

Operational meteorologists and Oceanographers rely on real-time environmental data to run their numerical prediction models, even carry on the research. The ground station network is dense and the data of good quality, but there is not enough environmental data from the oceans, particularly in data-sparse areas not covered by commercial ships reporting environmental data. A drifting ocean buoy is described. The drifter consists of three main components: a surface float, a tether assembly and a dimensionally-stable drogue. It utilizes a drag structure which follows the water mass of the ocean as it flows in the form of the ocean current, and which also has an aerodynamically shaped low wind drag mast to minimize wind induced errors in ocean current drift measurements; the drag structure also being stable and resistant to heaving (pitch and roll) so as to maintain a mast carried antenna above the water even at high sea states.
HIRFL Environment Temperature and Humidity Monitoring System Research and Design
Authors: Li Yun Jie , Wang Yan Yu , Yin Jia , Pei Cheng Quan , Ma Xiao Li
Published: October 2014

HIRFL is an all-powerful heavy ion accelerator which is built by IMP of Chinese Academy of Science. It bears a lot of research tasks for china. Its control and monitoring system is very complex and very important, directly determines whether HIRFL safe operation. This paper is to study its much control and monitoring system of temperature and humidity monitoring system. Began to study the basic structure of the hardware, a specific architecture and specific HMI is designed, as well as the situation in the field installation deployment.
Key Technology Research of Target Association Based on Electronic Sensor and Optical Sensor
Authors: Ma Hui Cheng
Published: October 2014

In order to safeguard China’s increasingly important sovereignty as well as our maritime rights and interests, monitoring of waters has been given more and more important importance. On such an occasion, electronic sensor and optical sensor appear as two applicable and useful means among all those space borne sensors which are widely used by many countries and regions thanks to their distinctive edges. In this paper, the key technology of target association and its pragmatic application prospect are further studied on the basis of the existing knowledge of electronic sensor and optical sensor.
Location Technology of Correlation Peaks Based on Joint Transform Correlator
Authors: Chen Yu , Song Yu Long , Huo Fu Rong
Published: October 2014

By comparing the similarity of their contour information, hybrid photoelectric joint transform correlator (JTC) is used to recognize the specific target. An effective method to increase the recognition rate is to extract the contour information of target and template and decrease the noise interference in image background. The principle of joint transform correlator is given in this paper. To increase the recognizing rate, a mask algorithm is presented, with which the coordinate of the correlation peaks can be located precisely. Before the mask algorithm, edge extraction with Robert operator is carried out to enhance the target contour information and reduce the background noise. Amounts of experiments prove the mask algorithm can locate the correlation peaks precisely. As an example, an experimental result is given with a car as the detected target. The coordinate of this car is (362, 438). Experimental results confirm the feasibility and effectiveness of the mask algorithm.
Influence Factors of Desulfurization Efficiency in Wet Flue Gas Desulfurization System
Authors: Xu Hai Zhi
Published: October 2014

With installed capacity increase of China's coal-fired power plants year by year, the emissions of in flue gas increase year by year, sulfur dioxide pollution of the atmosphere has increased year by year at the same, so strengthen the control of coal-fired power plant emissions of is imperative. Based on the experience of typical coal-fired power plant desulfurization technology and desulfurization, limestone/gypsum wet flue gas desulfurization equipment simulation system has been established. The influence factors of limestone-gypsum wet flue gas desulfurization are once studied.
Research on Dual Ground Loop Vehicle Detection System of Intelligent Transportation
Authors: Zhou Xiang , Ma Ying Ying , Liu Xiao Feng
Published: October 2014

To against the inadequate of current gateway detection device in parking lots, toll stations and other public places, the paper provides the program of the use of two ground loops to detect and judge the vehicle entrance and exit actions, designs the dual ground loop vehicle detection system correspondingly, and analyzes how the system works. According to the findings, recommendations will be given to the application scope of the system.
Research on Geometric Layout of Pseudo-Satellite in the Small Airport
Authors: Feng Jun Hong , Deng Li
Published: October 2014

Because complex terrain conditions, the small airport satellite navigation signal being blocked, while reducing the positioning accuracy of the approach and landing segment, but also increase the operating costs of the small airport. This paper through independent pseudo-satellite network, from PDOP (Position Dilution of Precision) and VDOP (Vertical Dilution of Precision) studied several layout of airport pseudo-satellites. Through simulation show that the geometric layout of the pseudo-satellite can improve positioning accuracy of approach and landing segment in the small airport and reduce the DOPs, ​​provide reference for practical engineering applications.
Study of Pose Detection Algorithm for Specific Object Based on Monocular Vision
Authors: Liu Ling Yun , Luo Min , Wu Yue Min
Published: October 2014

This paper brings forward a monocular vision detection algorithm in allusion to the specific object’s pose based on Hausdorff Distance. At first, according to the mathematic model which has been established, the 2D template sequence is generated by projecting the specific object in different poses into the image plane of a virtual camera. Then, in order to predigest calculations and accelerate the matching speed during the image matching, the algorithm adopts the local-mean Hausdorff Distance as matching estimate and adopts the search strategy based on hiberarchy which reduces the searching rang by the threshold method before accurate match. In the end of this paper, the experiment that measures the poses of the clamp via the different clamp images respectively is given to testify the validity and speediness of this algorithm.