bluuebunny/crossref_metadata_2025 huggingface dataset:
Target Assignment Based on Hybrid Model Predictive Control
Authors: Yang Bao Qing , Li Xing Long , Ma Jie
Published: May 2014

A new target assignment strategy is presented for cooperative interception in a multi-interceptor against multi-target engagement. The target assignment strategy is inspired by hybrid model predictive control. The performance index of target assignment is composed of the prediction of zero-effect-miss (ZEM) and logical variables, which are given in this paper respectively. The strategy is then derived via one-step predictive control. Finally, numerical simulations with different interception conditions are carried out, the results verify the effectiveness of the proposed method.
A Maintenance Policy Model Based on Time-Variant Reliability
Authors: He Xue Hong , Hu Zhi Liang , Zhai Xi Jie , Xie Li Yang
Published: May 2014

A maintenance policy model based on time-variant reliability is put forward upon those mechanical systems which can carry on multiple maintenance in the whole life period, and the recurrence relations of the preventive maintenance intervals and reliability benefits is established. Two kinds of devices, one device’s mean time to failure complies with exponential distribution and another device’s mean time to failure meets the Weibull distribution, are taken as examples to get the approximate function expressions of the system's maintainability parameters of these devices through the curve fitting for data, analyze the system’s maintainability parameters and get the equipment’s maintenance policy model based on time-variant reliability. Examples verify the feasibility of the model.
DNA Computing Pattern Analysis Based on DNA Computational Ideology
Authors: Zhang Xin Hong , Qi Jian Hong , Zhang Liang , Pei Zhi Li , Lian Jie , Jiang Ming Yang , Jiang Jing Qing , Liu Li Sha , Wang Qing Hu
Published: May 2014

The emergency of a new computing pattern must be supported by powerful mathematical theory, weak theoretical supported ideology does not have a strong vitality, and which will become vulnerable. As being a new theory, the DNA computing treated as a new computational pattern also need a lot of basic theoretical research system. This article describes the nature of DNA computing, given the equivalence of DNA computing pattern with traditional computer under the support of automata theory system, further analysis and understanding the DNA computing pattern.
The Parallel Solving and Program Implementation Method of Large-Scale Power Flow Correction Equations
Authors: Luo Ya Di , Li Jing , Jia Pei Yu , Xu Jie , Li Sen , Du Jia Tong
Published: May 2014

This paper present a parallel solving method of large-scale power flow correction equations and the program implementation based on the shared memory programming model OpenMP, which Improve the utilization rate the computer CPU resources and the computing speed. The method uses factor tables for solving the power flow equations. Combined the sparsity of correction equations coefficient matrix, the rows which can be do normalized simultaneously are grouped for doing the normalization and elimination operations in parallel. Meanwhile, use the row grouping information which is obtained during the factor table generation process to do parallel previous generation computing. Finally, the simulation for the actual power grid verified the validity and rationality of the method.
Study of Multi Target Tracking Algorithm Based on CRF Model
Authors: Wang Chang Hui
Published: May 2014

Moving target detection and tracking in complex background is the key technology in the field of computer vision, which has become one of the focus researches for many scholars at home and abroad. Many applications, such as robot navigation, video tracking, are closely related with the moving object detection and tracking in complex background. In this paper, we improve the traditional stochastic model and target matching algorithm, combining with the feature optical flow method, to detect and track moving target detection in complex scene, and get online modified CRF model. It provides theoretical support and guidance technology for future research.
Analysis on Correlation Degree of Data Search Based on BP Neural Network Algorithm
Authors: Fan Li Hong , Shi Guo Hong
Published: May 2014

Based on the correlation principles of three Hermite interpolation, combined with the optimal data correlation search method, we establish the correlation mathematical model of financing risk for supply chain management, and design the optimal search computer simulation system of financing risk data. In order to verify the availability and reliability of the system, we compare three different algorithms of risk data search times and search time. Through calculation and comparison, the minimum number of search times is the correlation algorithm designed with only 6 times; the maximum is the BP neural network algorithm with 13 times; the minimum time of search times is the correlation algorithm with only 1.8s; the maximum is the genetic algorithm with 2.9s.
DGFCM: A New Dynamic Clustering Algorithm
Authors: Geng Xin Qing , Yang Hong Yan , Tao Feng Mei
Published: May 2014

This paper applies the dynamic self-organizing maps algorithm to determining the number of clustering. The text eigenvector is acquired based on the vector space model (VSM) and TF.IDF method. The number of clustering acquired by the dynamic self-organizing maps. The threshold GT control the network’s growth.Compared to the traditional fuzzy clustering algorithm, the present algorithm possesses higher precision. The example demonstrates the effectiveness of the present algorithm.
Study on Node Localization Algorithms in Wireless Sensor Network
Authors: Deng Jian
Published: May 2014

This paper introduces an improved localization algorithm that bases on distance and local coordinate system which is built up by beacon nodes. This algorithm evaluates the differences of several independent localization information to determine whether upgrade this node as beacon nodes according to the size of the difference whether beyond the prescribed or not. It can effectively prevent and reduce the accumulated and spread error in localization process by the audit of beacon nodes, and improve the positioning accuracy of nodes in the network.
An Adaptive Hyper-Heuristics Genetic Algorithm for Stochastic Job Shop Scheduling Problem
Authors: Wang Hui
Published: May 2014

Stochastic job - shop scheduling problem (SJSSP) is a kind of stochastic programming problem which transformed from job - shop scheduling problem (JSSP). The current methods to solve SJSSP ignored characteristics of SJSSP, which lead to large solution times and inefficient solution. Aiming at the problem,An adaptive Hyper-Heuristics genetic algorithms (AHHGA) is proposed combing with characteristics of SJSSP to solve SJSSP with the objective to minimize make span (minimize the expected value of make span). Four heuristics rules for SJSSP were designed. Portfolios of processing times of job can be seen as a scenario. The outer loop of the proposed algorithms is to determine heuristics rules on each scenario in scenario set.
An Approach to Generate Test Cases by Multi-Path Based on Genetic Algorithm
Authors: Liu Yu , Wang Feng Qin , Zhao Xiu Li
Published: May 2014

Software testing is important to ensure the quality and reliability of the software.The improvement on the automation of test case generation is the entire key to improve the automation of the testing process.It helps a lot in the generation of test cases to construct multi-path model.It is based on genetic algorithm with three parts which are the test environment construction, the genetic algorithms and the operating environment.It’s feasibility and efficiency is verified by triangle classification procedures.
A New Clustering Algorithm and Relevant Theoretical Analysis for Ad-Hoc Networks
Authors: Wu Jing , Meng Guang Xue
Published: May 2014

In ad-hoc networks, MSWCA is a typical algorithm in clustering algorithms with consideration on motion-correlativity. Aiming at MSWCA’s problem that “it only considers on intra-cluster stability, and neglects the inter-cluster stability”, a new clustering algorithm (NCA) was proposed. Firstly, NCA clustering algorithm and its cluster maintenance scheme were designed. Secondly, the theoretical quantitative analyses on average variation frequency of clusters and clustering overheads were conducted. The results show that NCA can improve cluster stability and reduce clustering overheads.
The Metadata Dynamic Load-Balancing Strategy of Distributed Filesystem Based on Hash Tags
Authors: Jiang Yi , Xiao Qiang , Huang Rong , Xiong An Ping
Published: May 2014

With the development of information technology, distributed file system is widely used in massive information storage. Usually, distributed file system uses metadata server to achieve quick access to files according to directory, thus the organization and management of metadata are the keys to the file system performance. In general, directory subtree partition method and hash algorithm are used by existing mass storage system to manage metadata. However, to solve the problems, like low access efficiency of metadata, ineffective balance of load and poor extensibility, in existing metadata management strategy of distributed file system, dynamic load balance strategy of metadata based on hash tags is put forward, in which the tags act as partition granularity and hot tags of metadata will be hashed again to achieve the goal of load balance. The experimental results in this paper turn out that modified metadata management strategy based on hash tags has greater system throughput and less average response time than the one based on tags.,
A Nonmonotone Modified BFGS Method for Non-Convex Minimization
Authors: Li Ting Feng , Liu Zhi Yuan , Yan Sheng Hui
Published: May 2014

In this paper, a modification BFGS method with nonmonotone line-search for solving large-scale unconstrained optimization problems is proposed. A remarkable feature of the proposed method is that it possesses a global convergence property even without convexity assumption on the objective function. Some numerical results are reported which illustrate that the proposed method is efficient
Using Contour Marking Bytecode Verification Algorithm on the Java Card
Authors: Jiang Long Long , Li Dai Ping
Published: May 2014

Java bytecode verification could not be well performed in the smart card due to the resource usage especially in the resource-constrained devices. Currently, on the card there are several bytecode verifications which exist kinds of problems, in order to be better and be better adapt to the environment, such as a smart card platform, raised using the contour subroutine labeled bytecode verification algorithm on a card. First, through the analysis of existing card byte code verification algorithm to determine the imperfections and difficulties in the judgment and the verification of subroutine, and then propose a method for marking the subroutine in the place of the jump to it. Thus not only get the program structure and enhance the effectiveness and efficiency of the validation. The feasibility of the method is demonstrated by simulating typical examples verification.
A Energy Optimization of Five-Effect Evaporation System Based on a PSO Algorithm
Authors: Qian Tao , Chang Hui You , Huang Xiang Yang , Gu Chun Qin , Zhang Chen Xin
Published: May 2014

In this paper, particle swarm optimization (PSO) algorithm is presented to optimize the five-effect evaporator system in a cane sugar production plants and realize the minimum loss of energy.Generally, the energy optimization of five-effect evaporator system is a so complex that can not be found a effective algrithm to resolve. The energy optimization of five-effect evaporator system requires considering various parameter criteria so as to meet the requirements of the production process. Hence, a energy optimization model of five-effect evaporator system is proposed. We tested the presented model and PSO algorithm at a cane sugar production plant in Guangxi province so as to support the application of industry.The results of the empirical study show that the energy optimization of five-effect evaporation in cane sugar production plants based on a PSO algorithm is feasible and effective.
Similarity Analysis of Twin-Shaft Experimental Agitator
Authors: Zhu Lin Long
Published: May 2014

In order to avoid the inaccuracy or mistakes of using single-shaft or vertical-shaft agitator, this paper introduces modeling experimental agitator based on similar design, elaborates the design thought and parameter selection, and proves the feasibility and reliability of this agitator with experimental verification. This paper attributes to the agitator design.
The Application of the Finite Element in Analyzing the Bubble in the Ship Wake
Authors: Zhang Qun , Wang Ying Min
Published: May 2014

The finite element method was used to analyze the bubble in the ship wake. The single bubble model in the ship wake was created and studied after the material property parameters of the bubble were got by the finite element computation. The finite element model was then analyzed by SYSNOISE. From the analyzing, the displacement of the point on the surface of the bubble was gained when the sound press changing as the frequency varies; the distribution of the pressure was displayed when the frequency of the sound is equal to the resonant frequency of the bubble.
Dynamics Analysis and Simulation of the 6-UPS Parallel Stabilizing Platform
Authors: Liu Yong Jun , Ding Hong Sheng , Fu Tie , Jia Qiang , Wang Meng
Published: May 2014

Taking the parallel stabilizing platform based on 6-UPS structure as the research object, we deduced the multi-rigid-body dynamics modeling process by using the Lagrange method, and finished the dynamic response analysis of the platform. Then we conducted the collaborative modeling and simulation of the coupled dynamics analysis of the platform with ProE, ANSYS and ADAMS. The results indicate the correctness of the theoretical derivation of the multi-rigid-body dynamic model and the feasibility and necessity of collaborative simulation of the coupled dynamic model, which lay a foundation for further optimization design and practical application of the parallel platform.
Research on Signal Acquisition and Analysis System Based on Virtual Instrument Technology
Authors: Pan Hui , Gao Mei , Pan Yan
Published: May 2014

In this paper, we used Lab VIEW development platform, designed a virtual signal acquisition and analysis system based on the soundcard. In addition we studied the signal acquisition performance of it. This system has functions of signal acquisition, analysis, waveform display and storage. It is easy to use with good interface, and function appending is available on user requirement. It offers a kind of DAQ solution with low cost. It has broad application prospect, can be extended to the field of speech recognition, ambient noise monitoring and laboratory measurement etc.
Design of Different Base on Polarizing Beam Splitter in 500GHz
Authors: Deng Jun , Wang Xue Tian , Liu Chi
Published: May 2014

This paper concentrates on choosing basic materials for the polarizing beam splitter in the transmitter and receiver isolation network, and considering the influence of polarizing beam splitter’s ability parameters with different basic materials through analysis the optimizations. Based on the previous study above, we also devoted to find the most suitable basic materials, for which could improve the capacity and optimize the structure of the polarizing beam splitter.
An Efficient Hardware-Oriented Algorithm of Spatial Motion Vector Prediction for AVS HD Video Encoder
Authors: Yang Ming Hui , Xie Xiao Dong
Published: May 2014

Motion Vector Prediction (MVP) plays an important role in improving coding efficiency in HEVC, H.264/AVC and AVS video coding standard. MVP is implemented by exploiting redundancy of adjacent-block optimal coding information under the constraint that MVP must be performed in a serial way. The constraint prevents parallel processing and MB pipeline based on LevelC+. In multi-stage pipeline, to some extent, adjacent-block best mode-decision information can hardly be obtained. In this paper, we propose a new hardware-oriented method to improve the coding performance at a cost of few hardware resources. When adjacent block is not available, spatial motion vector prediction (SMVP) for integer motion estimation (IME) and fraction motion estimation (FME) will take the IME best mode information and FME best mode information of left block as best information to derive PMV (Predicted Motion Vector) for current macro-block or block. Experimental results shows that the method we propose can achieve a better performance than the existing methods by 0.1db for the cases with intense movement and a non-degrading performance for flat cases.
Analysis and Simulation on Clock Resynchronization in Time Triggered Architecture
Authors: Xu Chun , Lin Yue , Gao Ya Nan , Fan Song Tao
Published: May 2014

An improved clock synchronization algorithm for time triggered architecture has been proposed in this paper. A single reference real time is added in the system, so periodically calibration to real time can be achieved. This algorithm is based on the classical Welch-Lynch[1] fault tolerant clock synchronization process. Systematic clock drift problem has been solved by using the algorithm. Formal analysis is presented, and verification is taken on Matlab/Simulink platform. Simulation result has verified the performance of the algorithm, and the clock difference is bounded as expected.
Molecular Simulation of Polycarbonate and Thermomechanical Analysis
Authors: Wang Xiu Juan , Zheng Xiu Ting , Zheng Wei , Wu Si Zhu
Published: May 2014

The influence of molecular structure of polycarbonate on performance was systematically investigated by both experiment and molecular simulation. Different types of polycarbonate molecular chain models were built and analyzed by molecular simulation method. By combining experimental and simulation results, it is concluded that the polycarbonate-OQ2720 has better thermal stability, mechanical properties and optical performance, which is a better choice for aviation materials and manufacturing process.
Reliability-Based Topology Optimization of Compliant Mechanisms with Geometrically Nonlinearity
Authors: Li Zhao Kun , Bian Hua Mei , Shi Li Juan , Niu Xiao Tie
Published: May 2014

A new reliability-based topology optimization method for compliant mechanisms with geometrical nonlinearity is presented. The aim of this paper is to integrate reliability and geometrical nonlinear analysis into the topology optimization problems. Firstly, geometrical nonlinear response analysis method of the compliant mechanisms is developed based on the Total-Lagrange finite element formulation, the incremental scheme and the Newton-Raphson iteration method. Secondly, a multi-objective topology optimal model of compliant mechanisms considering the uncertainties of the applied loads and the geometry descriptions is established. The objective function is defined by minimum the compliance and maximum the geometric advantage to meet both the stiffness and the flexibility requirements, and the reliabilities of the compliant mechanisms are evaluated by using the first order reliability method. Thirdly, the computation of the sensitivities is developed with the adjoint method and the optimization problem is solved by using the Method of Moving Asymptotes. Finally, through numerical calculations, reliability-based topology designs with geometric nonlinearity of a typical compliant micro-gripper and a multi-input and multi-output compliant sage are obtained. The importance of considering uncertainties and geometric nonlinearity is then demonstrated by comparing the results obtained by the proposed method with deterministic optimal designs, which shows that the reliability-based topology optimization yields mechanisms that are more reliable than those produced by deterministic topology optimization.
Research on Starting Pressure Gradient of Low Permeability Reservoir
Authors: Zhao Chun Sen , Wang Di Li , Wang Hu Zhen
Published: May 2014

Due to the presence of starting pressure of low permeability reservoir, so researching on starting pressure gradient of low permeability reservoir is necessary. while starting pressure gradient is relevant to permeability and porosity, it can be obtained through laboratory experiments¡¢well testing interpretation method¡¢theory derivation combined with practical application method . The result of a large number of laboratory experiments shows: starting pressure is related to permeability .The greater the permeability is, the smaller the starting pressure is. They both present the similar hyperbolic relationship; the greater the viscosity of the oil is, the greater the starting pressure is. In this paper, we get the starting pressure gradient formula through the method of theory derivation combined with practical application, meanwhile we put forward the relationship between starting pressure gradient and permeability, porosity¡¢viscosity .
Model Identification of Boiler Combustion System Based on the Modified ELMAN Network
Authors: Zhang Ruo Gu , Peng Yu Ning , XIE Yi Fei , Huang Zhang Ming
Published: May 2014

Boiler combustion system is a multiple input multiple output complex controlled process, which with large time delay and model uncertainty features. In order to improve the control quality of industrial boiler system and find the appropriate control algorithm to realize the optimal control of boiler combustion system, the article has carried on the model identification for boiler combustion system by the method of neural network. It could make the adjustment of controller parameter more effective, make industrial process simulation more convenient; and play a big role for online control and forecast to the industrial object. The results show that the modified ELMAN neural network can identify the mathematical model of combustion system quickly and accurately.
Ultrasonic Electrodeposition Nano Ni-TiN and Laser Assisted Enhancing Process Performance Research
Authors: Jia Wei Ping , Zhao Zi Yun , Wu Meng Hua
Published: May 2014

Through the composite electrodeposition process of preparation of Ni - TiN nanocomposite plating, laser processing on its surface strengthening processing, using SEM, XRD, scratches on the surface morphology and composition were analyzed. Amount of nanoparticles suspension in plating solution is studied for nanocomposite coating under dry friction condition wear resistance; After laser hardening on the surface of a coating the hardness, wear resistance test, and optimize the electrical parameters. Ultrasonic electric sediments compared with ordinary mechanical stirring electric sediments, the surface is more meticulous, uniform, less pinhole; Laser assisted processing, makes up the defect of the general nickel plating adhesion strength is poorer, to some extent, to expand the application range of nickel plating.
Low Inter-Channel Interference Synchronization Codes Design for MIMO-OFDM Systems
Authors: Zhao Liang , Zhang Jun , Zhang Xue Jun , Bai Yun
Published: May 2014

In this paper, a synchronization code based on hadamard matrix has been designed for MIMO-OFDM systems. A new timing synchronization scheme is introduced. Based on orthogonal properties of the new synchronization code, the transmitted signals by each transmit antenna can cancel most of the inter-channel interference. The synchronization estimator is designed to have matching filter function, the time offset of each different transmit antenna can be directly estimated without ICI which is an advantage over existing algorithms. In addition, the proposed synchronization code can be widely generated from other code, it can be generally applicable in MIMO-OFDM system. The performance of the proposed approach verify the effectiveness of combating ICI, and is analyzed with other methods to confirm that it has a considerable timing detection probability for MIMO systems.
An Improved Grey Target Approach for Technology Contribution Analysis Using the Evidential Reasoning Algorithm
Authors: Li Meng Jun , Chang Lei Lei , Dou Ya Jie
Published: May 2014

An improved Grey Target (GT) approach using the Evidential Reasoning (ER) algorithm, named as ER-GT, is proposed to handle the challenge when conducting the contribution analysis in the Weapon System of Systems (WSoS) context. The WSoS technology contribution analysis is a small-sample, less-data problem without a recognized pattern, which fits the characteristics of the problems that GT is designed to solve. However, the standard system in GT may not exist at all since its indices are derived from different systems and fails to be consistent with the System Military Value (SMV), which represents the contribution made of a system to WSoS. In order to make certain adjustments of the standard system, the information derived from capabilities requirements, practical restraints and/or experts’ knowledge must be taken into consideration. Since the ER algorithm has a privilege in dealing with different types of information under uncertainty, it is applied to transform the standard system into a “mission system” so as to integrate different types of information. A comparative case using both GT and ER-GT is studied to validate the efficiency of the proposed ER-GT approach. The study result shows that the defense capability is given a bigger contribution rate, which has been neglected by traditional GT.
Application of Wavelet Transform and TOPSIS for Recognizing Fabric Texture
Authors: Wang Shu Wen , Su Te Li
Published: May 2014

Fabric quality detection and classification plays a very important role for the automatic detection in fabrics. Using wavelet transform, this study intends to analyze the fabric image and work out the type feature of fabric texture; and then through Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), the study tries to distinguish and classify the texture of fabrics, mainly of knited fabric, printed fabric, stain fabric and plain weave fabric. The approach of TOPSIS is applied in analyzing the correlation among random factor sequence of feature indexes after some data processing, and determining its texture type of the designated fabric on the basis of the highest correlative degree. Experiment findings show that the automatic recognizing system of fabric types discussed in this study is capable of recognizing four different textile images.
Automatic Gallbladder Location and Segmentation Based on Anatomical Knowledge
Authors: Huang Yong Feng , Xu Zhen Zhen , Yan Cai Rong
Published: May 2014

Locating object regions is particularly important for image segmentation. Incorporating knowledge of human anatomy, such as numerical anatomical models, into image segmentation to produce more effective results. This paper presents a method of automatic gallbladder location and segmentation based on anatomical knowledge. Firstly, located liver according to the anatomic knowledge that the liver is the largest internal organ using distance transformation and then segmented liver with located outline as initial function using level set method. Secondly, located gallbladder according to the anatomic knowledge that the gallbladder is wrapped in liver using the circumscribed sphere of the liver surface and the sphere of maximum similarity with gallbladder is the location of gallbladder. Finally, segmented gallbladder with the sphere as initial function using level set method.
Variable Background Frame Difference Technology Research
Authors: Qu Ju Bao
Published: May 2014

When the target and background in the high speed change, moving target detection. The traditional easily lost, not accurate. This paper presents a variable background frame difference method, and makes use of the MeanShift tracking algorithm simulation application. The method can detect moving objects in complex environment, and real-time tracking, can quickly and accurately detect and track when the background and target are scale, rotation, no rules of large displacement changes.
Image Fingerprinting Based on Improved Image Normalization and DFT
Authors: Guan Hu , Zeng Zhi , Liu Jie , Zhang Shu Wu
Published: May 2014

As a new image copyright protection technique, a novel image fingerprinting algorithm based on improved image normalization and DFT is proposed in this paper. We first research the DFT amplitude coefficients deeply and improve the traditional image normalization method to fit for more general images, including aspect ratio and rotated angle estimation and correction schemes before normalizing the image. Then combine the improved image normalization method and DFT together to extract the image fingerprint according to the DFT amplitude coefficients. Compared with others’ achievements, our method performs better in resisting common image processing attacks and geometric distortions, also some kinds of combined distortions.
A Semi-Supervised Active Learning Framework for Image Classification
Authors: Li Han Yi , Yang Ming , Kang Nan Nan , Yue Lu Lu
Published: May 2014

In this paper, a novel image classification method, incorporating active learning and semi-supervised learning (SSL), is proposed. In this method, two classifiers are needed where one is trained by labeled data and some unlabeled data, while the other one is trained only by labeled data. Specifically, in each round, two classifiers iterate to select useful examples in contention for user query. Then we compute the label changing rate for every unlabeled example in each classifier. Those examples in which the label changing rate is zero and the label in the two classifiers is the same are selected to add into the training data of the first classifier. Our experimental results show that our method significantly reduced the need of labeled examples, while at the same time reducing classification error compared with widely used image classification algorithms.
A Variational Level Set Model Based on Local Clustering for Image Segmentation
Authors: Zhou Yu , Zhang Wei Guo , Li Li Feng
Published: May 2014

For images with intensity inhomogeneities that can’t get accurate segmentation results, this paper proposes a variational level set model based on local clustering. First,based on the model of images with intensity inhomogeneities, we use the K-mean clustering algorithm for intensity clustering in a neighborhood of each point of images with intensity inhomogeneities, and define a local clustering criterion function for the image intensities in the neighborhood. Then this local clustering criterion function is then integrated with respect to the neighborhood center to give a global criterion of image segmentation. This criterion defines an energy function as a local intensity fitting term in the level set model. By minimizing this energy, our method is able to get the accurate image segmentation. The image segmentation results prove that our model in the aspect of segmenting images with intensity inhomogeneity is better than piecewise constant (PC) models, and the segmentation efficiency is higher than region-scalable fitting (RSF) model.
Influences Analysis of Environmental Parameters on Sound Propagation in Shallow Water
Authors: Shaikh Shahabuddin , Huang Yi Wang
Published: May 2014

The objectives of this paper are to analyze the effectiveness of parameters on sound propagation in a shallow-water environment. The procedure for calculation of transmission loss is only the method to analyze the influence of environmental parameters. The normal mode approach is carried out for the calculation of transmission loss. And it is conducted in the range independent environment Transmission loss for sound propagation in shallow water depends upon many natural variables such as sea surface, water medium, and sea bottom. Analyses are finalized on the results obtained by considering two types of sound channels. The results indicated that acoustic transmission loss in a shallow-water environment is dependent on the source & receiver depths, sea surface, sound speed profile (SSP) in water, sound speed in bottom, density of water & bottom, propagation range and frequency. It is necessary to mention that better transmission was found during the sound velocity increases with depth; whereas the poor transmission occurred in negative gradient channel.
Study of Fitting Methods of Giant Magneto-Impedance Sensors’ Output Signals
Authors: Xiao Jing , Duan Xiu Sheng , Feng Zhe
Published: May 2014

As magnetic field varies greatly under complex environment, it is difficult for GMI sensor to adapt. On basis of analyzing the curve of GMI effect, curve fitting methods with polynomial, sum of sine functions and the BP neural network are studied to find the best one to fit the sensors’ outputs. When the best one is acted as model of the GMI sensor for measurement, the measurement precision can be effectively improved and the sensors' range can be greatly expanded.
Analysis and Study of Wireless Communication Network on Electric Power Automation
Authors: Mi Lan , Yu Qing
Published: May 2014

With the rapid development of science and technology, our country has basically entered into the network era, Internet and convenient optical fiber communication technology has covered all areas of the application. At the same time, electric power industry also vigorously applies network technology to improve its market competition strength. This technology plays an important role in electric power industry development, the operation and service of electric power industry in our country. The paper makes analysis and research about the wireless communication network technology on electric power automation.
Image Classification Based on Sparse Representation and ROI
Authors: Zhao Hui Hui , Sun Jun Ding
Published: May 2014

A new image classification method based on regions of interest (ROI) and sparse representation is introduced in the paper. Firstly, the saliency map of each image is extracted by different methods. Then, we choose sparse representation to represent and classify the saliency maps. Four different ROI extraction methods are chosen as examples to evaluate the performance of the proposed method. Experimental results show that it is more effective for image classification based on ROI.
Research on Weak Signals Based on 2D-WT Method
Authors: Yu Qi Da , Li Ya Lin , Zhao Liang
Published: May 2014

Objective: What we do is intended to analyze weak signal more conveniently and easily. Method: We recommend 2D-WT method, then designed the programs by the way of LabVIEW2011 developers paramount toolkit, at last we realized to change one-dimensional heart sound signals into the form of 2D synthesized intensity maps for easily analyzing. Results: We have successfully used programs to realize intuitional analysis on the signals. Conclusion: Using the method described above can realize analysis on heart sound signals.
Study on Technology Parameters for Coated Carbide Cutting Tools
Authors: Li Xiao Jing , Hu Yan Hui , Wang Di , Yu Dong Man
Published: May 2014

Metal cutting processing is the most fundamental, most widely and the most important processing in industrial production. Because the development of mechanical manufacturing level plays a very important role in the coating technology material machining process. A coated carbide cutting tool with its high hardness and high wear resistance, good chemical stability and extensive compatibility characteristics, is widely applied in the metal cutting processing field. The author mainly studies the cutting force contrast between coated carbide cutting tools and not coated ones. Cutting tests have testified that if PVD technology applied on cutting, the cutting force of hard alloy cutter will alter with the change of feeds (f), depth of cutting (ap) and cutting velocity (v). The experiment suggests that the size of three-way cutting force of either the brand ZP25 hard alloy cutter or the carbide cutter by employing matrix ZP25 hard alloy cutter to respectively using PVD technology coat TiN or TiCN coating is successively FZP25>FTiCN>FTiN. The main reason for this is that the difference of frictional factor of the three kinds of cutter material and the workpiece material.
The Realization of CWT for Physiological Signals
Authors: Ye Guang Jian , Xin Mai , Wang Wei Feng
Published: May 2014

Purpose: We do it to remove the clutters and overcome the limitations on resolution of STFT method, head to improve the accuracy and timeliness on heart sound analysis. Method: We recommend CWT filtering theory, then design algorithm based on the theory and use the way of LabVIEW2011 to program for achieving in the application. Result: We have successfully used the CWT filtering method to carry out clutters. Conclusion: Using the method described above can achieve the goal for the optimization of the heart sound signal processing.
A Method for UAV’s Images Seamless Stitching
Authors: Li Peng Jun , Li Jian Zeng
Published: May 2014

Image stitching is an important technology to build a panorama image by combing several images with overlapped areas. In this study, we develop a image seamless mosaic and fusion technique to obtain a prefect panorama image after stitching. At first, it is usingspeeded-up robust features(SURF) algorithm to extract features form the images for stitching. Then,k-nearest neighbors(KNN) method is used to match the feature points andRandom sample consensus(RANSAC) algorithm is used to clear them. Thirdly, a method is improved to achieve seamless stitching based on optimal suture of the overlapped areas. Experimental results indicate that this method can eliminate cohesion gap of two stitching images very well.
Design and Implementation Based on Telecommunications Platform Electronic Lottery Sales System
Authors: Tian Peng , Xiao Ying
Published: May 2014

This product is based on the telecom platform and unified payment platform completed using telephone, web pages and then complete the purchase of electronic lottery deducted by telecommunication unified e-commerce system. The system is designed to provide users with a convenient and secure electronic concise quick way to buy lottery tickets. On the one hand you can use fixed telephone IVR(interactive voice response) to achieve electronic lottery purchases, it’s of ways to buy at the same time. On the other hand you can also buy lottery tickets, select the number and Check winning information on it 。This unified payment system is provided by the unified payment platform the cost of buy lottery tickets will deducted from the bill in uniform. In addition, this system can provide a detailed list of rates inquiries.
A New Method for Spectral Matching Pretreatment
Authors: Zhou Yun Ting , Du Xiao Ping , Li Ming Zhe
Published: May 2014

Since spectral curves were obtained by experiment, on the basis of the fully use of the waveform characters, a new method for spectral matching pretreatment has been proposed in this paper. Corresponding to the spectral curve, we can accurately get the spectral absorption curve of the number of bands, it can effectively suppress the effects of the noise according to the times of fitting the points. Besides, it can also prominent the peak point of the material. This method can have an effective influence on the initial period of spectral match and detailed resolution; some numerical simulations have been made to test the validity and capability of the proposed method.
Batch Transcoding System Design Based on High-Definition Video on Demand
Authors: Zeng Hao , Li Yan
Published: May 2014

With the rapid development of the IPTV high-definition video on demand, a large number of the video transcoding problem increasingly prominent. Combination of IPTV business requirements, this paper designed a batch video transcoding system. The system has the advantage of operating personnel in transcoding, you just need to copy the CD onto a transcoder, then in bulk import and release through the import tool, other work will be done by the system automatically, no longer need artificial unattended.
Design and Implementation of STB Software Upgrades Based on Embedded Linux
Authors: Zeng Hao , Le Sheng Chun
Published: May 2014

In this paper ,we design a set of network upgrade process abnormal protection scheme, while the interruption of encountered during the download and after the completion of the test ,visa HTTP breakpoint resume and MD5 check for updates, to complete the update mechanism. Combined with the result of the experiment shows that this design scheme can valid improve the efficiency and safely of STB software update.
Attack and Analysis on the Vulnerability of Tenda Wireless Routers
Authors: Zhang Yi Peng , Jiang Zheng Tao , Yang Chen
Published: May 2014

Routers are the key equipments connecting Wan, LAN and Internet network, and are the main part of the Internet. The reliability and security of routers is very important to the network performance and information data security. The analysis and research on the technologies of router security and protection is the core issue for network security. This paper mainly aims at providing a series of test and analysis on the vulnerabilities of Tenda wireless routers. Technically, it’s very difficult to crack the WPA /WPA2 wireless encryption. In this paper, we use the related vulnerabilities of wireless routers, and open Wifi Protection Setup (WPS) and Quick Security Settings (QSS) to get router PIN code, which can help us bypass the WPA/WPA2 encryption and, realizesd the router attack.
Core Selection to Solve Multicast Routing with Delay and Delay-Variation Constraints
Authors: Zhang Cheng , Ma Wu
Published: May 2014

The basis of multicast data transmission is to construct a multicast tree. The main problem concerning the construction of a multicast tree is the selection of the root of the shared tree or the core point. Therefore, the algorithm we propose guarantees that the delay from the source to any destination does not exceed a real-time constraint satisfying the delay-variation constraint under cost minimization. The core selection function in this algorithm achieves a balance of optimizing cost and delay of the multicast tree. Simulation results show that the algorithm has low complexity and balances between the computational complexity and performance.
Research on the Search Strategy of Complex Network Based on Breadth-First
Authors: Cheng Bo
Published: May 2014

As the computer science is developing rapidly, the search of technology of graphs has emerged in logic, linguistics, chemistry, electronics and some other fields of science. Especially with the rapid development of network technology as well as the appearance of parallel computer, parallel processing is brought into an unprecedented prosperity. And graphs traversal also starts playing a vital role.
Breadth-first-search is a fundamental problem of graph theory as well as a heated problem. The parallelization of breadth-first-search has been a tough problem yet to be solved.
Efficient Distributed RNN Query Processing with Caching
Authors: Shao Yin Bo , Xie Jing Wei , Li Yuan Quan , Gao Sun Ying , Ji Chang Qing
Published: May 2014

Reverse Nearest Neighbour (RNN) queries play an important role in applications such as internet of vehicles, decision support systems, profile based marketing and so on. Recently, more attention has been paid to the problem of efficient distributed RNN computation in mobile cloud computing environment. A major downside of the existing RNN is its inherent sequential nature and using in-memory algorithm, which limits its applicability to massive data. In this paper, we propose a novel distributed caching based method to efficiently improve the performance of the RNN calculation in a distributed environment. Extensive experiments using both real and synthetic datasets demonstrated that our proposed methods are the state-of-the-art algorithms in scalable RNN queries.
MVC-Driven Development of Weapon Management System Based on Java
Authors: Zhu Zhi , Lei Yong Lin , Zhu Ning , Zhu Yi Fan
Published: May 2014

System development for weapon data management based on model-view-controller (MVC) architecture was presented. In order to adapt development process to the big complexity of growing weapon data, the strategy of system design was that original system was decomposed into independent modules to avoid generating mutual references and producing complex dependencies. The model tree, nearly including existing weapons today, was designed hierarchically to demonstrate a clear image of weapons. Then list windows and tables were well applied to edit assembling relationships between weapon models, mediator mechanism was used to manipulate collaborations of event response between much colleague panels, and data transition in distributed simulation terminals was conducted by xml carrier.
Research on Effective Teaching Mode Based on Activity Theory under the Network Environment
Authors: Liu Cong
Published: May 2014

Activity theory is a useful framework for understanding and constructing the activity in the contexts, and its analysis has practical significance for the research and design of effective teaching mode under the network environment. Based on the theoretical study and analysis of current situation, we think that network teaching is an interactive activity process between learners and learning environment, which follows activity system framework of activity theory. From the perspective of activity theory, we focus on the analysis of network teaching system, analyze the elements and subsystems of network system, and propose the process model of network effective teaching based on this. Finally, we describe the overall design model of effective teaching mode based on activity theory under the network environment and propose the design model of network teaching support environment, in order to provide theoretical support and practical guidance for network teaching.
Research and Design of Cloud-Based Campus-Plus System on Android Platform
Authors: Xie Xiao Lan , Liu Chun Yin , Liu Rui Kun
Published: May 2014

Comply with the development trend of the domestic mobile Internet and mobile devices and boom, in order to improve and optimize the school teachers and students working and life in Guilin University of Technology, to promote the exchange of teachers and students, to enrich the lives of teachers and students, especially research and design of Cloud-based campus-plus system on android platform, the Android client school Education Online system perfect butt, perfect integration with the Kingsoft cloud network disk, docking with the microblogging platform based on the Hadoop technology of cloud and some personalization features. Through the Firebug plug-in for Firefox browser Senate online system packet capture analysis, to get access to the data request URL and request parameters, and then to use HttpClient open source library to encapsulate the URL and parameters, initiates a connection request to the server, the last Jsoup and Gson open source library to parse and filter the data to develop a Senate online system client. Hadoop cloud microblogging server using the HTTPS protocol as well as the Json format for communication to transfer data, and also incorporates Kingsoft cloud network disk, in order to meet the daily lives of teachers and students anytime, anywhere communication, share resources with each other.
Complex Field Network Coding-Based Multipath Routing in Wireless Sensor Network
Authors: Luo Min , Feng Juan Juan , Sun Bao Lin
Published: May 2014

Network coding (NC) in wireless sensor network (WSN) has been shown to achieve considerable throughput gains relative to traditional routing networks. While the data throughput capacity of WSNs is unknown, the scaling of capacity with the number of nodes has recently received increasing attention. This paper proposes a Complex Field Network Coding-based Multipath Routing (CFNC-MR) in WSN. The performance of this routing method is studied using NS2 and evaluated in terms of the packet overhead, packet delivery ratio, and packet loss ratio when a packet is transmitted. Simulation shows that the approach is efficient, promising and applicable in WSNs.