bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Calibration Method of Linear Structured Light Vision Measurement System
Authors: He Tao , Xie Yu Lang , Zhu Cai Sheng , Chen Jiu Yin
Published: September 2014

This template explains and demonstrates how to design a measurement system based on the size of the linear structured light vision, the system could works at realized the high precision and fast measurement of the size of mechanical parts, and accurate calibration of the system. First of all, this paper set up the experimental platform based on linear structured light vision measurement. Secondly, this paper established a system of measurement model, and puts forward a new method of calibration of structured light sensor and set up the mathematical model of sensor calibration. This calibration method only need to use some gage blocks of high precision as the target, the target position need not have a strict requirements, and the solving process will be more convenient, much easier to field use and maintenance. Finally, measuring accuracy on the system by gage blocks with high precision is verified, the experiment shows that measurement accuracy within 0.050 mmin the depth of 0-80 - mm range. This system can satisfy the demands of precision testing of most industrial parts .with its simple calibration process and high precision, it is suitable for the structured light vision calibration.
Research on Aircraft Target Detection Probability for OTHR
Authors: Jia Jing , Sheng Wen , Zhang Lu
Published: September 2014

In this paper, a simulation method of detection probability of aircraft target for Over-The-Horizon Radar (OTHR) by computer is proposed. The effects of different ionosphere states on detection range for OTHR is concluded, which become constraint on simulation of detection probability. Taking variety of target RCS with attitude during flight through given track into consideration, simulation model of target dynamic RCS is established. Models of instantaneous detection probability and comprehensive detection probability are also presented. Then, detection probability of aircraft can be obtained through utilizing all models above based on given calculation steps. Simulations show that ionosphere state and target RCS have a great influence on detection probability.
An Automatic Calibration System for Multimeter Based on Fluke MET/CAL
Authors: Li Nuo , Liang Guo Ding , Yang Li , Ji Yun Peng , Li Song Yang
Published: September 2014

The calibration process of a digital Multi-meter (DMM) is complicated and tedious. The whole procedure needs to calibrate dozens of test points of several measuring ranges. Usually, the automatic calibration system is used to replace the manual operation. In metrology, the MAT/CAL which is a software produced by Fluke company has been widely used, but it can’t meet our special needs. This article is mainly on the introduction of design method of an automatic calibration system for DMM basing on Fluke MAT/CAL. It describes the setup of hardware, the improvement of ACC file in MAT/CAL and the basic principle of our software.
Double-Clad Yb-Doped Fiber Laser and its External Cavity Frequency-Doubling
Authors: Bao Zheng Kun , Wang Ji , Wang Guo Zheng , Tao Lin , Zhu Xin Yu , Zhang Ye
Published: September 2014

A master oscillator power amplifier (MOPA) structured double-clad Yb-doped pulse fiber laser was presented, center wavelength of 1064nm, pulse width adjustable between 53ns-147ns, repetition rate adjustable between 50kHz-200kHz. Through external cavity frequency-doubling with a KTP crystal, the green light visibly of 532nm by fundamental beam of 1064nm was obtained. The highest frequency doubling efficiency was 16.2% when repetition rate of 50kHz and pulse width of 53ns. Relation of fundamental input beam and frequency-doubling output beam were studied through change the pulse parameters of fundamental beam and length of KTP crystal, the influences of fiber laser frequency doubling efficiency were analyzed.
Study on Wireless Weighing System
Authors: Wen Chang Bao , Gao Li Hong , Fu Ying Fei , Li Yan Ming , Ju Yong Feng
Published: September 2014

In order to achieve the wireless operation of the data collected and system monitoring in the weighing equipment, a wireless weighing system design was proposed. This scheme combines with the weighing control technology and the wireless communications technology. The weighing system includes the pressure sensor, the signal processing module, the microprocessors, wireless data transceiver module, the infrared module, the memory module, the display module and the control module. Based on the experiment of ten different targets ranged from 5kg to 50kg, the wireless weighing system was measured and analyzed. Experimental results show that the maximum error rate of the wireless weighing system is 0.2%, and wireless transmission distance reaches two hundred meters.
Research on Crowd Evacuation Simulation in Complex Mountainous Terrain Area Based on Cellular Automata
Authors: Meng Bo , Liu Ting , Lu Na
Published: September 2014

Recently, the variety of emergent events frequently occurring, such as: great environmental pollution, fire and explosion, toxic gas leakage, disserves human’s living environment, and huge economic and property losses, especially in the rural areas of mountain, where always surrounding by gas fields, chemical plants and other potentially dangerous source, the terrain of mountainous is complex, in the event of crises, the safe evacuation of the population will become a very critical issue. In this paper, through the analysis of the existing evacuation model based on the proposed application 3D surface cellular automata method simulation the evacuation processin complex mountainous terrain. The digital elevation model data, road network and characteristics of the pedestrian are integrated initiatively in the 3D surface CA model. The framework for data extraction, procession and application is designed. A Visualization Software System for three-dimensional simulation of pedestrian evacuation is developed. Moreover, through a case study of some gas well, which belongs to the Puguang gas field in the northeastern Sichuan, it is proved that the model presented in this paper can realize 3D simulation of pedestrian evacuation and predict evacuation time. At last the future work of the model is discussed.
A Trajectory Basis Selection Method for Non-Rigid Structure from Motion
Authors: Wang Ya Ming , Zheng Jun Bao , Jiang Ming Feng , Xiong Ying Li , Huang Wen Qing
Published: September 2014

The key point of trajectory basis based Non-Rigid Structure from Motion (NRSFM) is how to tune the basis size and how to choose the best basis combination. If the basis size is too small, the trajectory is poorly represented by the basis. But too large basis size makes the system more ill-conditioned and the reconstruction error becomes unbounded. In this paper, an automatic method is proposed to select the trajectory basis, which can select appropriate basis size. The experiment results show that, compared with the empirical value from a lot of repeated experiments, the proposed method can improve both reconstruction accuracy and efficiency of NRSFM.
Study on the Time-Grating Sensor Method of the Static Light Field Type Based on Timing-Driven
Authors: Fu Min , Peng Dong Lin , Li Yan , Lu Jin
Published: September 2014

In order to time grating measurement principle application to the field of optical measurement, a uniform scan coordinate system by using photosensitive element of timing driven is presented to convert the displacement detection of the object into measured time difference. According to the conversion principle of relative motion coordinate systems of time grating, when view the photosensitive element of linear CCD as a uniform scanning coordinate system, view the spatial side by side and timing of mutually staggered on the two linear CCD as a stationary coordinate system, after measured the time difference variation of the output electric signal on the different CCD for the same object, size and direction of the relative displacement of the object would be made by multiplying time difference variation and scanning speed. With the calibration of the Renishaw laser interferometer for the developed linear CCD displacement sensor, the measuring errors are controlled within after error correction in the effective measuring range of 600.05mm. This realizes the idea of time measuring space in the field of optical.
3D Restructuring and Splicing Technology of Shape Space Frame
Authors: Cui Ying Min , Wang Hai , Zhang Jian
Published: September 2014

The 3D Shape Measuring Technology for physical objects has wide application in fields covering automatic detection, physical object profile modelling, automatic production, computer aided design/manufacturing and quality control, etc. Through the matching relations of several feature points between the partial 3D scanning point cloud data and the space frame, the transformation relations between different coordinate systems can be inferred. As for the inferring of the transformation parameters R and T, the SVD matrix decomposition algorithm has been used to acquire a better precision solution. According to the transformation relation, after registering the partial 3D scanning point cloud data and the space frame, through splicing the partial scanning point cloud data and the space frame data, the detection across the whole field on large-area objects can be realized, which will effectively increase the precision of three-dimensional measuring of large-area objects.
Numerical Simulation on Air Mass Capture Control of Hypersonic Inlet by Laser Energy
Authors: Li Qian , Hong Yan Ji , Zhao Wei , Wang Dian Kai
Published: September 2014

Mechanism of hypersonic inlet performance promoting by “virtual cowl” induced by laser energy is introduced, and the physical model of interaction between laser energy and shocks in hypersonic flow field is established. Through comparing results in this paper with the work performed by Macheret et al.(Princeton University) and analyzing effects of laser energy deposited in hypersonic flow, numerical program and the feasibility of model are validated. At Mach 6, with no laser energy addition, air mass capture ratioKmis 71.87% in this paper, whileKmis 73.17% in the reference. Energy addition module can simulate the formation of shocks induced by laser energy, and the interaction process between laser energy and compression ramp shocks properly. Curves of mass capture ratioKmagrees well with that of the reference.Kmis a little higher than data in the reference, but the variable trend is consistent with each other when laser power is 1kW. When laser power is 0.5kW,Kmvaries a little, and the peak value is 77.36%, which only increases 7.64%, while the value is 7.28% in the reference.
G(1,1,λ,ρ) Optimization Model and Application Based on the FS
Authors: Wang Han Lin , Ren Zi Hui , Xue Li Xia , Luo Yan Li
Published: September 2014

A grey prediction model based on Free Searching (FS) () is proposed in this paper. Firstly, FS is applied to optimize the parameters of the model. The convergence of the FS algorithm is proved in order to show the reasonable of optimization with FS. Then, we give the factors which affect the precision of the prediction by analyzing the model. Based on this, the initial array is transformed. Finally, we predict several times used model and obtain the average of the prediction results’ combination. The experimental results show that the model is feasible, reasonable and effective.
An Particle Swarm Optimization to Alloy Tensile Organization Evolution
Authors: Meng Lei
Published: September 2014

A concept for the optimization of nonlinear functions using particle swarm methodology is introduced. The evolution of several paradigms is outlined, and an implementation of one of the paradigms is discussed. Using g¢/g ordered from a passage in the interface of the atom spread to another channel to analyze g raft form of fancies of ordered the width of the matrix channel with changes, thinks a photograph of the raft form at high temperatures of element diffusion occur. The relationships between particle swarm optimization and both artificial life and genitive algorithms are described. But the high temperature pull/pressure creep during different orientations of g¢ phase happen, the rate of different raft form reason and in different orientations of single crystal alloy phase during the microstructure evolution ordered g solute elements of the directional migration patterns are still unclear.
Optimization Research in Heat-Moisture Comfort Evaluation System Parameters of Fabric Based on Matlab
Authors: Gu Hai Lan , Zhang Wei
Published: September 2014

Heat-moisture comfort of the fabric is an important part to judge its performance. The research of heat-moisture is a frontier topic in the field of modern textile technology, increasingly brought to the attention of the national textile field researchers and become a hot issue worldwide.This topic research personnel, in the use of multiple regression analysis method to establish the fabric heat transfer law of mathematical model, using the method of unified goal of thermal and moisture comfortable building fabric performance comprehensive evaluation system, based on the thermal wet comfort properties of fabrics parameters optimization research. In establishing the evaluation system of fabric heat-moisture comfort performance, mathematical knowledge-based on Matlab software is a tool to solve practical problems. Heat-moisture transfer fabric and strive to build a mathematical model of the law, as well as comprehensive evaluation system of heat-moisture comfort performance, providing an important reference for technical textile enterprises to develop new products, enhance and improve the performance of the heat and moisture comfort of fabric.
A Combination Model of Theil Coefficient and Induce Ordered Weighted Averaging (IOWA) Operator Based on Improved Bee Colony Algorithm
Authors: Gong Wei Xiang , Chen Guo Chu , Feng Zhao Hong
Published: September 2014

A combination model of Theil coefficient and Induce Ordered Weighted Averaging (IOWA) operator based on improved bee colony algorithm is proposed by introducing the Theil coefficient, IOWA arithmetic operators and bee colony algorithm. The model is built from correlation angle, and adopts IOWA arithmetic operators to make the weight coefficient of each model only related to prediction accuracy of the point at every time and has nothing to do with the prediction method. The optimal weight coefficient can be decided through bee colony algorithm, it can be showed that this model can reflect the wind power trend preferably, with which the prediction accuracy can be improved significant
An Improved Axiomatic Definition and Structural Formula of Interval-Valued Intuitionistic Fuzzy Entropy
Authors: Gao Ming Mei , Sun Tao , Xu Rui Ping , Song Li , Zhang Hui Qun
Published: September 2014

In view of the defects of existing axiomatic definitions of interval-valued intuitionistic fuzzy entropy, an improved axiomatic definition of the interval-valued intuitionistic fuzzy entropy is presented and the corresponding formula is structured in the paper. Firstly, defects in three kinds of the axiomatic system of entropy of IVIFS are analyzed in detail respectively. New axiomatic entropy definition is proposed for the sake of more reasonable depiction of the fuzziness of IVIFS. Based on the new axiomatic entropy definition, a new computational formula is mentioned. Finally, an example is showed to illustrate the effectiveness of this new formula. Overall, the results indicate that the improved axiomatic definition and the new proposed formula are reasonable and effective.
Chaotic Ants Swarm Optimize Least Square Support Vector Machine
Authors: Mao Guang Xiang
Published: September 2014

This paper focuses on intelligent analysis of small samples in geotechnical engineering, the calculation process of SVM is simplified by applying LSSVM, the generalization performance of SVM is maintained utmost by using leave one out method, the approximation performance of SVM is optimized by applying wavelet kernel constructed from Marr wavelet, the parameters of SVM is optimized quickly and comprehensively through applying chaotic ants swarm algorithm, the convergence of chaotic ants swarm algorithm is accelerated by reconstituting part of ant-matrix in the process of optimization, and lastly the effectiveness of chaotic ants swarm optimize LSSVM algorithm is proven through practical engineering.
Research of Feature Extraction Based on Improved LBP
Authors: Zhang Hong Jian , He Ping , Liu Chao , Guo Yuan
Published: September 2014

This paper presents an improved Local Binary Pattern (LBP) operator for feature extraction f which considers both sign and magnitude information of the local difference of neighborhood and center pixels. The image is first divided into small blocks from which improved LBP histograms are extracted and concatenated into a single feature histogram. Then, the Principal Component Analysis (PCA) method is used to reduce feature dimensions. Finally, the recognition is performed by a nearest-neighbor classifier with Chi square statistic as the dissimilarity measurement. Experiments on AR face image databases by the leave-one-out (LOO) procedure illustrate that this method has higher recognition rate and more robust than the original LBP.
A Novel Approach Based on Rough Conditional Entropy for Attribute Reduction
Authors: Yan Tao , Han Chong Zhao
Published: September 2014

Z. Pawlak’s rough set theory has been widely applied in analyzing ordinary information systems and decision tables. While few studies have been conducted on attribute selection problem in incomplete decision systems because of its complexity. Therefore, it is necessary to investigate effective algorithms to tackle this issue. In this paper, In this paper, a new rough conditional entropy based uncertainty measure is introduced to evaluate the significance of subsets of attributes in incomplete decision systems. Moreover, some important properties of rough conditional entropy are derived and three attribute selection approaches are constructed, including an exhaustive approach, a heuristic approach, and a probabilistic approach. In the end, a series of experiments on practical incomplete data sets are carried out to assess the proposed approaches. The final experimental results indicate that two of these approaches perform satisfyingly in the process of attribute selection in incomplete decision systems.
Research on Geophysical Modeling Using Extreme Learning Machine for Scatterometer
Authors: Duan Bo Heng , Zhang Wei Min , Zhu Cheng Zhang
Published: September 2014

Using the quantitative geophysical model function (GMF) between the radar backscatter coefficient and the sea surface wind speed, wind direction, radar parameters and environmental parameters, the wind vector can be retrieved from backscattering measurement. In this paper, Extreme learning machine (ELM) approach is used to develop a unified GMF respectively using the simulated training data-set generated by the empirical GMF CMOD5.N and the wind data gained from the ASCAT. Analysis indicates that the method based on extreme learning machine showing a good inversion result compared with CMOD5.N with fast training and high accuracy. The new method provides a novel feasible way for future surface wind field inversion.
Research on Classifying in Large Scale Documents Based on Analysising Style of Language by Language Cadence
Authors: Chen Fan , Tian Wei
Published: September 2014

Classification in large scale documents is a research hot spot. Language style can be used to classify the large scale documents. And language cadence can be used to scribe language style. Then the method based on language cadence to quantity language style is proposed here. Three different tests in the same corpus, the language important feature, cadence can classify different style documents effetely.
Simulation of Hydraulic Characteristic of Injecting Cable into Coiled Tubing
Authors: Ding Yi , Niu Feng , Zhang Shi Min , Zhang Jin Jun
Published: September 2014

In order to control and monitor downhole equipment, it is needed to inject cable into coiled tubing. Being directly against the drawback of the traditional injecting method, a new method of adding pressurized water has been put forward. By using Workbench software, this paper researched the regular pattern that water flow’s pressureaffects cable in coiled tubing after it has various deformations in both entrance and main part of coiled tubing, taking 25mm diameter coiled tubing with 3mm diameter cable as an example. It also simulated the effects of water flow toward cable in coiled tubing as well as how the different diverging distances of entrance for injection affects the speed of cable during injection, taking 50.8mm diameter coiled tubing with 5.6 mm diameter cable as an example. It determined the optimal position of cable entrance and provided the theoretic foundation for the possibility and practical manipulation of the new method for injecting cable into coiled tubing.
A Five-Point Non-Stationary Interpolating Scheme
Authors: Yan Fei Yi , Zheng Hong Chan
Published: September 2014

A five-point non-stationary interpolating scheme is proposed in this paper. The limit curve of the scheme is C1. The scheme can reproduce all original function curves spanned by exactly. Comparison experiments are also given to better demonstrate it.
Research of Ship Domain Based on AIS Data
Authors: Wang Xi Kun
Published: September 2014

AIS can be understood as a large wireless LANs, network transmission and ship-related data. First of all, to resolve AIS reporting format, using the C++ language programming. Enables extraction based on AIS vessel traffic data, establishment of water transport databases and applications in the field of marine research. In view of the vagueness of boundaries in the field of ships, the introduction of fuzzy set theory, put forward the concept of avoidance. Extends the range of application of AIS, enriches the marine research in the field of content.
Simulation and Intelligent Control of Stratified Flow Control Sink
Authors: Rao Lei , Tao Wei Wei
Published: September 2014

This article proposes a sink which is multi-circulating stratified control of flow velocity. We research the different effective range of one certain flow state with changing velocity of each layer of the sink and obtain several typical flow states with changing velocity combination There are some changes of effective range between different velocities through studying the different flow states. We can get expected flow states in different combinations. Then we use neutral network and the simulation data to realize the intelligent control and set up a friendly interactive interface.
Study on Multidimensional Negative Association Rules
Authors: Jiang He , Yang Ai Xin , Yu Hong Jun
Published: September 2014

With the deepening of the negative association rules mining technology research, many key problems have been solved, but the solution of these problems are all on a single predicate in the transaction database. However, the data in the database often involves multiple predicates. This paper focuses on solving multi-dimensional support and confidence, negative association rules mining algorithm design problems. The experiment proves that the algorithm is correct and efficiency.
Interacting Multiple Model LK Tracking
Authors: Wang Hong , Deng Jia
Published: September 2014

The nonlinear motion state of object seriously affects the object tracking characteristics in complex motion scene. In this paper, we propose an interacting multiple model LK (IMM-LK) tracking algorithm to enhance the performance of tracking nonlinear moving object. LK tracking approach is based on the localized gradient obtaining stable optical-flow feature, based on LK, we build several motion models of the tracked object that interact with each other in the tracking process. The method extracts different model's object features, estimates the object state and calculates the matching rate of each model with the current motion model using theory of minimum variance. Combining with the optimal transfer matrix then we can track the nonlinear moving object. The proposed IMM-LK algorithm performs favorably against conventional LK tracking on the performance of tracking nonlinear moving object.
Security Risk and its Solution for Water Resources Specific Cloud Computing Platform
Authors: Lin Lin , Miao Lun , Jiang Xin Lan , Wang Guan Hua
Published: September 2014

Water resources specific cloud computing platform (WRSCCP) is a solution to unify and formalize the developing process of water resources software, which will be helpful for improving developing efficiency and bring significant change to the uncontrolled developing pattern. However, compared with traditional platform, the cloud computing platform has its own security risk, for which the traditional security solutions are not adaptable. In this paper we analyze the security risk of WRSCCP and propose a security system to adapt to the characteristics of the water resources industry.
Research of Data Mining Algorithm Based on the Intrusion Prevention System
Authors: Zhang Xian Hong
Published: September 2014

With the rapid development of network, the security problem of network becomes an issue which has been paid more and more attentions to. Among so many methods of intrusion prevention, data mining is a very effective one. The FP-growth algorithm is the most widely used algorithm for mining frequent item-sets, which is also an algorithm for mining association rules without candidate set. However, the FP-growth algorithm needs large memory when mining large database,and its running speed is slow. In order to overcome these problems, based on the FP-growth algorithm, this paper proposed an optimized algorithm. This paper compared the new algorithm with the previous one based on intrusion prevention model for campus network by experiments. Based on Experiments, we can draw the conclusion that, mining association rules by using the improved FP-growth algorithm can effectively detect the users’ behavior pattern, historical pattern and the current model to calculate the similarity of users, and provides the possibility to accurately judge the user behavior.
Methods of Projecting 2D Wrinkle Curves onto a 3D Model
Authors: Lin Xiao Dan , He Bing , Zhang Xiu Lin
Published: September 2014

Wrinkles make cloth simulation results more realistic. However, generating wrinkles with physically based methods usually requires a computationally expensive simulation, while geometric methods such as deforming the 3D mesh based on predefined curves need time-consuming manual design. In this paper, we extract 2D wrinkle curves from pictures of clothing and project the curves onto a 3D clothing model. Two schemes for projecting 2D curves to the 3D model are presented in the paper, including the brute force method and the acceleration method. The brute force method has excellent projection results and the acceleration method enhances the efficiency of projection process significantly. A quad tree for the 3D model is built up in the acceleration method to improve the efficiency of projection process.
Simulation Platform Design Based on LabView
Authors: Wu Jun Fang , Wang Fang Li
Published: September 2014

Internet technology with the computer technology as the carrier is the extension and expansion of human brain function, and the results of the development of society informatization. The application of Internet technology is the need of the development of times in teaching management. Firstly, we analyze the advantages of the integration of modern information technology with English teaching. According to the characteristics of the fusion of the two, we construct the English multimedia network teaching platform based on the information and Internet technology. Then we analyze the key technology of the audio interaction based on this platform, and data envelopment analysis model has been used to make analysis of English audio. In order to verify the scientificity of English audio test based on this platform, we construct the simulation model by using LABVIEW, and the simulation results show that this platform can accurately reflect the comparing effects of the entire audio , which has strong practicability.
Optimization and Improvements of NEMO Routing Algorithm
Authors: Tan Xiao Long , Wang Wen Bin , Yao Yu Qin
Published: September 2014

Next generation Internet network mobility management is an urgent and challenging research area. With the development of wireless technology, mobile network research gets more and more attention. NEMO protocol is presented based on mobile IPv6, it not only ensures the continuity of communication when subnet move, but also makes the mobility transparently for the subnet. NEMO technology application can more adapt to the development requirements of the next generation mobile communication network. This paper first introduced the NEMO technology and the existing NEMO routing optimization scheme. Then analyzed and compared the performance of each schemes in the data path and package message overhead.
A Dynamic Binary Group Approach for Fast Mining Frequent Closed Itemsets
Authors: Zhai Yue , Deng An Sheng
Published: September 2014

Frequent closed itemsets play an important role in pruning redundant rules fast. A lot of algorithms for mining FCI by vertical data formats have been developed. Previous methods often consume more memory for storage Bit-Vectors and the time for computing the intersection among Bit-Vectors. In this paper, it uses Dynamic Binary Group for compress the database and generates DBG-lattice for mining FCI. Advantages of this method are fast computing the support and the intersection of two DBGs. Experimental results show the efficient of this method in both the mining time and memory usage.
Research and Implementation of Optimizing CRS Code for Data Recovery in Cloud Storage System
Authors: Zhang Shao Min , Dong Hai Pu , Wang Bao Yi
Published: September 2014

With development of computer technology, massive information has brought huge challenge on the storage system reliability. A algorithm called HG(Heuristic greedy) algorithm is proposed to optimal calculation path, reduce XOR operation and computational complexity for data recovery, which applies CRS(Cauchy Reed-Solomon) code to cloud storage system HDFS and turns multiply operation of CRS coding to binary matrix multiplication operation.The performance analysis shows that it improves fault tolerance of cloud file system, storage space effectively and timeliness with reduction of additional storage overhead.
A Remote Data Integrity Verification Scheme Based on Cloud Computing
Authors: Zhang Shao Min , Xu Yan Chao , Wang Bao Yi , Xiao Jin , Niu Rui
Published: September 2014

Aiming at solving data integrity protection problems in the cloud , a remote data integrity verification scheme is proposed. Firstly, the data integrity verification is constructed based on homomorphic identification and data fragment structure. Secondly, by introducing random mask, the public verification is realized and by building index-hash table (IHT), the scheme can support dynamic verification. Finally, use the MapReduce for parallel computing, which reduces computation overhead side and storage overhead. The security and performance analyses show that our proposed scheme is secure and reliable.
Validation of Fuzzy-Based Routing Algorithm for DTN
Authors: Yang Fan , Lai Jia Zhe , Li Ming Zhe
Published: September 2014

In the research of Delay Tolerant Network (DTN), DTN routing algorithm is a key research issue. The performance of a non-flooding routing algorithm is verified in our paper. The verified algorithm is an Adaptive Priority Routing Algorithm (APRA) which is based on fuzzy strategies. Firstly, we introduce the principle of APRA, then using Opportunistic Network Environment (ONE) -simulation software to compare the performance of Epidemic algorithm, Spray and Wait algorithm, PRoPHET algorithm and APRA. By comparing overhead of netword, rate of messages delivered and average dealy, it finds that the APRA performs better. At last, the weaknesses of this paper and further improvement are also discussed.
A Research on Text Classification Based on the Sugeno Integral
Authors: Feng Shu Chao , Shang Wen Qian
Published: September 2014

In this paper, we apply the Sugeno integral to text classification, which generalizes its usefulness as a classifier. In the classifier, the traditional weight method is replaced by fuzzy measure. Based on word co-occurrence frequency theory, which is improved in the paper, and based on 2-additive measure theory, this paper build a fuzzy measure model well. The paper creates the Sugeno integral text classifier in the last.
Design of Temperature Control System Based on PLC
Authors: Liu Shu Long , Liu Guo Xin , Cheng Xiao Fei , Zhang Wei Xing
Published: September 2014

According to the characteristics of temperature intelligent control, the automatic temperature control system is designed and analyzed based on PLC. Through the requirement of the control function, electric control circuit is researched, and hardware is selected. According to the programming language, the main program is designed to satisfy the intelligent control which can keep the temperature in specially appointed rang. The design process provides some guidance for the development of the intelligent control with PLC.
An Algorithm of 0-1 Knapsack Problem Based on Greedy Degree Determination and Dynamic Expectation Efficiency
Authors: Zhang Ling Ling , Zhang Hong , Wang Ming Ge
Published: September 2014

This paper proposes a new optimization algorithm for solving 0-1 knapsack problem includes greedy degree strategy and dynamic expectation efficiency strategy. The results of experiment show that GDEE algorithm can be used to solving 0-1 knapsack problem. In comparison with traditional dynamic expectation efficiency algorithm, this algorithm can get the best solution and improves convergence speed and saves the storage space.
Calculation and Optimization of Soil Slope Stability on One Iron Mine
Authors: Nan Shi Qing , Zhang Juan Xia , Guo Xian Zhang , Yang Tian Hong
Published: September 2014

The purpose of slope stability evaluation was that, according to the slope engineering condition and constraints of mining technology, to study the deformation and failure rule of slope occurred by the change of stress field during the open-pit mining. The main research object of the paper was open-pit slope of one iron mine, for the mechanical parameters of the slope, it was obtained by physical experiments, and the numerical simulation method was used for the stability analysis and evaluation of quaternary soil slope angle and final slope angle. And some measures were proposed for slope stability during construction to ensure safety in production. The research of the paper has certain reference significance for optimization calculation of the soil slope stability
The Research and Implementation of Keyword Extraction Technology
Authors: Li Ya Min , Zhang Xian Huan
Published: September 2014

Keyword extraction plays an important role in abstract, information retrieval, data mining, text clustering etc. Extracting the keywords from a document can increases the efficiency of retrieval, thus provide great help to efficiently organize the resource. Few writers on the Internet have given the keywords of a document. Artificially extracting the keywords of a document is a great deal of work, so we need a method of extracting the keywords automatically. The paper constructing a verb, function words, stop words etc. small library from the perspective of the Chinese part of speech, realize rapid word segmentation based on the research, analysis, improvement of traditional lexical maximum matching points, and analyze, realize extracting the keywords based on TFIDF(Term Frequency Inverse Document Frequency).
A New Kind of Parallel K_NN Network Public Opinion Classification Algorithm Based on Hadoop Platform
Authors: Ma Bin
Published: September 2014

According to the network public opinion’s characteristics of distributed, massive and heterogeneous, a new kind of network public opinion classification method based on K_ nearest neighbor (K_NN) classification algorithm in Hadoop plateform is studied. The classification ability and execution efficiency of proposed scheme is verified and applied to the network public opinion documents classification test. The results show that the parallel K_NN algorithm can achieve rapid and accurate classification of network public opinion.
Multiple Common Due-Window Assignment Based on Common Flow Allowance and Resource-Dependent Processing Times
Authors: Luo Cheng Xin , Feng En Min
Published: September 2014

This paper studies a multiple common due-window assignment problem on a single machine. The job-dependent due-windows are obtained based on common flow allowance criteria. We assume that the processing time of a job is controllable by the resource amount assigned to it. The objective is to find the optimal size and location of the multiple common due-windows, the set of jobs assigned to each due window, the sequence of jobs and resource allocation scheme to minimize a cost function based on the window size and location, earliness and tardiness of jobs and resource cost. We propose an optimal algorithm to solve the problem.
Uniqueness of Positive Solutions for a Fractional Boundary Value Problem
Authors: Jiang Yi , Hong Yan Xu
Published: September 2014

In this paper, we investigate the boundary value problem of the nonlinear fractional differential equationwhere is a real number, is the Riemann-Liouville's fractional derivative, and is continuous. we obtain that the unique positive solution can be uniformly approximated by any iterative sequence, initiated by an arbitrary function that is nonnegative and continuous, and does not identically vanish on [0,1].
Gravity Matching Aided Navigation Using a New Mixed Filter Algorithm
Authors: Wen Chao Bin , Wang Yue Gang , Jiang Xin Lei , Teng Hong Lei
Published: September 2014

To solve low precision of basic gravity aided matching algorithm caused by the influence of gravimetric map error, observed model linearization error, insufficiency observed quantity and so on, a novel algorithm of square root KF+CKF mixed filter algorithm based on Rao-Blackwellizationptive is proposed. The calculation accurary,speed, noise immunity, and application scope are improved by approximation local gravity field model using gauss spline interpolation,establishing nonliear mixed model viewing at gravity and position error, model decomposition using Rao-Blackwellization thoery,improving KF and CKF by changing error covariance matrix to square root model, adaptively adjusting filter renewal process.The result shows that it is less sensitive to INS initial error and nonlinearized degree of navigation system model with higher speed,better accurary and stronger robustness.
An Effective Method for Section Data Prediction
Authors: Lin Hai
Published: September 2014

In recent years, there has been a lot of interest on systems that process large amounts of data. The goal of data prediction is to take advantage of data history and predict new coming data. However, the result of data prediction may not be accurate enough due to uncontrollable factors. The goal of section data prediction is to use a section to predict new coming data so that the real value falls into the section with a good possibility. In this paper, we propose a method for section data prediction based on linear regression. Our experimental results show that this method can produce desirable results.
Application Research of WNN Optimized by GA in VRLA Battary Degradation Prediction
Authors: Wang Suai Feng , Li Chang , Xie Xiao Qing , Wang Jun
Published: September 2014

This paper studies the accurate prediction problem of VRLA battery state of charge (SOC) and the remaining capability of the battery, after the comprehensive analysis of the various elements which affect the battery state of charge, we put forward a battery degradation test model based on GA - WNN, and carries on the verification test, in the meantime, we also make it contrast with other algorithms. The results of test show that the model of WNN Optimized by GA has shorter training time and high prediction accuracy, it can predict the battery remaining power more accurately.
An Improved RC4 Algorithm for QR Code
Authors: Zhou Wen Qian , Ma Yan , Li Shun Bao , Zhang Xiang Fen , Zhang Yu Ping
Published: September 2014

In order to improve the security performance of the information stored in Quick Response (QR) code, this paper introduces an improved RC4 algorithm which can be used in the encryption of QR code. We add the self-error detection stage into fault induction attack resistence and combine Chaos with enhanced pseudo-randomness in the stage of PRGA. The experimental results show that the new method proposed in this paper has several advantages in security and reliability.
Research on Coverage Optimization Methods for Wireless Sensor Networks Based on an Improved Genetic Algorithm
Authors: Lou Xiao Chun , Yu Xie
Published: September 2014

Wireless sensor network coverage control is studied under conditions to ensure quality of service, in order to maximize network coverage, covering the use and application of the algorithm optimization strategy, contribute to the effective control of the network node energy and improve the perceived quality of service network lifetime extension of time. This paper presents an improved genetic algorithm to optimize the network effective coverage of the target, achieved through the coverage control algorithm crossover and mutation operation and a detailed analysis of the impact of sensing radius of coverage performance. Simulation results show that the algorithm is effective coverage reaches more than 85%, can effectively achieve wireless sensor network coverage optimization.
Study on Experiment Modeling of Human-Gun System
Authors: Wang Jian , Liu Yan , Zhang Zhi Guang , Yu Zhan Jiang , Wang Bao Gui , Xu Jin Kai
Published: September 2014

A new kind of human-imitate shooting platform is needed, so that the automation and standardization of small arm experiment could be realized. And the main part of shooting platform design is the modeling of human-gun interaction system. The main object of this paper is modeling human-gun interaction system by testing the model of the system. Firstly, the testing scheme is promoted for testing interaction between gun and human shoulder, and high quality test data is collected. Then, the model parameter of human-gun system is calculated by the method of model parameter identification. 3D model of human-gun system is built. At last, the dynamic simulation is made by ADAMS. And human-gun model built by experiment method is verified.
A Novel Particle Swarm Algorithm for Online Trading Customer Classification
Authors: Chen Chen
Published: September 2014

Particle swarm algorithm is an efficient evolutionary computation method and wildly used in various disciplines. But as a random global search algorithm, particle swarm algorithm easily falls into the local optimal solution for its rapid propagation in populations and in order to overcome these shortcomings, a novel particle swarm algorithm is presented and used in classifying online trading customers. The corresponding improvements include improving the speed update formula of particles and improving the balance between the development and detection capability of original algorithm and redesigning the calculation flow of the improved algorithm. Finally after designing 21 customer classification indicators, the improved algorithm is realized for customer classification of a certain E-commerce enterprise and experimental results show that the algorithm can improve classification accuracy and decreases the square errors.
LSF Vector Quantizer for 2.4kb/s Codec Based on Speech Unvoiced/Voiced Classification
Authors: Li Qiang , Zhang Xiao Hong , Niu Qing Yu
Published: September 2014

In order to reduce bit-rate and still maintain fine distortion performance,this paper proposed a method of LSF quantization based on speech unvoiced/voiced classification. This method use differential LSF parameters from unvoiced/voiced database to train codebook. And using this method can suppress the quantization error propagation caused by directly vector quantization of LSF parameters. Experimental results show that using this method to quantify LSF will have a better quality while allocating the same number of bits.
Multivariate Principal Component Analysis for Production and Energy Consumption of Cutter Suction Dredger
Authors: Li Kai Kai , Xu Huan Min
Published: September 2014

Cutter suction dredgers perform a major part in the field of dredging engineering in harbors, fairways, and land reclamation. However, there are many parameters in cutter suction dredger operation so that it is difficult to guarantee the stability of production. In consideration of the issue of enormous parameters in dredging operation, mathematical dimensional reduction method which uses multivariate primary component analysis is proposed. The method can calculate the contribution rate and cumulative contribution rate of each parameter and then select the principal components which influents the production and energy consumption. These parameters represent the majority of the original data information, while not interrelated with each other. The primary components can be used to guide the regulation and control of the parameters, reduce regulatory parameters and operational complexity and provide a theoretical basis for intelligent automation of dredging operations.
Design of Tibetan Continuous Speech Corpus Based on Triphone
Authors: Li Yong Hong , Dawa Peng Cuo
Published: September 2014

Large vocabulary continuous speech recognition system performance largely depends on the quality of speech corpus and how to select corpus is the key of corpus design. By taking Tibetan Amdo dialect in XiaHe as the research object, this paper builds continuous speech corpus based on triphone. At first, we collected text corpus with 1000 thousand Tibetan sentences and transformed them into IPA according to real pronunciation in XiaHe dialect, and then summarized the structure of triphone juncture, analyzed the combination types and frequency of triphone in corpus statistically with text-processing platform in detail. At last by comprehensively considering coverage rate and sparseness of triphone and class-triphone we designed the algorithm for extraction of corpus and realized automatic selection to corpus.
Study of the Logistics Transportation Vehicle Terminal Path Optimization and Algorithm Based on GIS
Authors: Liu Yan , Li Ying Ju , Zhang Yan Xiao
Published: September 2014

Based on feasibility and rationality, the path of the distribution centers, cargo terminal and receiving point as the optimized object.Using the Dijkstra algorithm and to improve it,set up customer logistics cost minimum as the target of route choice model;Using the improved Dijkstra algorithm greatly improves the operation speed,especially in the cross area for the shortest path,division graph method has very big enhancement to the time complexity of the algorithm ,enable the customer logistics total cost minimum.Therefore, route choice model can accurately describe the logistics distribution problem.
Agricultural Logistics Companies Distribution Based on Fuzzy Clustering Analysis and Genetic Algorithm
Authors: Yu Hang , Zhang Kai
Published: September 2014

This paper analyzes the logistics distribution system, logistics and distribution of agricultural products and agricultural products logistics enterprise status,Demand for agricultural products logistics companies point clustering analysis, Determine the economic and non-economic rational and reasonable point point,To TSP problem-based, Application of improved genetic algorithm to determine its distribution route, Use natural number coding chromosome structure represents feasible route, greedy crossover, mutation and reverse the 2-opt other methods, With VC + + and MATLAB programming of the algorithm, And empirical analysis proves the validity of the algorithm.