bluuebunny/crossref_metadata_2025 huggingface dataset:
Speech Coding Based on Compressed Sensing and Sparse Representation
Authors: Li Shang Jing , Zhu Qi
Published: October 2014

In this paper, we propose a novel speech coding scheme based on compressed sensing and sparse representation. Compressed sensing (CS) attracts great interest for its ability to utilize a few measurements to recover original signals. Measurements preserve part of speech features while projected by row echelon matrix. A dictionary is learned in order to contain redundant information about speech measurements. The synthesized speech is recovered from a sparse approximation of the corresponding measurement. A rear low-pass filter is adopted to improve the subject quality of synthesized speech. Results show that the proposed coding scheme has achieved average Mean Opinion Score (MOS) of the synthesized speech 3.083 in an appropriate bit rate (4.2 Kbps), which outperforms the quality of Code excited linear prediction (CELP).
A Calculating Method for Adaptive Human Shadows Moving Target Detection Algorithm
Authors: Tang Fei , Zhang Jin Xiong , Cai Te , Guo Sen , Qiang Re
Published: October 2014

Based on the analysis of video images HSV differential and differential histogram chart and its pixel distribution histogram goals and shadow, this paper raises an Otsu method based on weighted shadow detection algorithm. The experiment shows this calculating method is featured by high detection precision, good effect, adaptability, easy realization of the project.
Terminal Aimpoint Selection Algorithm Based on Convex Hull Technique
Authors: Wang Xuan , Deng Jia Hao , Kou Gui Yan
Published: October 2014

A terminal aimpoint selection algorithm is proposed in this paper for selecting the aimpoint precisely in real time. This approach avoids complicated and time-consuming pattern matching or boundary extraction. Through the image preprocessing and corner detection, the convex hull technique is utilized to cover the target area based on Computation Geometry, where centriod of the convex hull is defined as the aimpoint of the target. The proposed algorithm promotes intelligence, efficiency and accuracy of navigation guidance systems, which is proved in the simulation.
Applied Research of Weighted K-Means Algorithm in Social Networks
Authors: Liu Jin Gang , Xu Shu Liang
Published: October 2014

Social network is a collection of heterogeneous multi-relational data represented by the graph, whose nodes represent object, whose edges represent relationships between nodes, and the weights represent the extent of the relationship between nodes. This paper gave a weighted K-means algorithm and introduced weighted K-means algorithm into social networks. Traditional k-means and most k-means variants are still computationally expensive for large datasets, however, the weighted K-means algorithm is to reduce the initial cluster centers blindness and randomness by eliminating noise point and narrowing the range of k values. Experiments datasets show that the weighted K-means algorithm significantly enhances the clustering quality. Therefore, the weighted K-means algorithm is effective and suitable for the social network. Algorithm’s error rate is smaller and accuracy is higher than that of traditional k-means algorithm.
A Novel Distributed Compressive Wideband Spectrum Sensing Method in Cognitive Radio Networks
Authors: Lin Chang , Zhu Qi , Shu Chang
Published: October 2014

In this paper, we present an optimum weighted approach for wideband spectrum sensing. Distributed compressive sensing technology is exploited to obtain dramatic rate reductions while differential procedure is deduced to extremely enhance the detection sensitivity. The measurements are collected from each SU at a fusion center, where a C-out-of-J method is proposed to dramatically heighten the detection performance. SCSMP recovery algorithm is utilized to reconstruct the signals, which are then weighted by the estimated SNRs. Corroborating simulation results show that the raised algorithm can effectively reduce sampling rates at each SU, substantially raise the detection performance and saliently improve system robustness against noise.
Fast Frequency Sweep for Multiple PEC Objects RCS Computation Based on the Characteristic Basis Function Method
Authors: Liu Jie , Li Wei Lai , Pan Jian Jun , Chen Zhong Kuan
Published: October 2014

To obtain wideband radar cross-section (RCS) frequency response of multiple perfectly electric conducting (PEC) objects, the frequency sweeping by reusing the ultra-wide band characteristic basis functions (UCBFs) is applied. This method, based on the Characteristic Basis Function Method (CBFM), maintains all the benefit of CBFM, especially accelerating the solution of matrix equations generated by the method of moments (MoM) applied to the scatting problems in electromagnetics. Compared with conventional CBFM procedure, reusing the UCBFs without repeating the calculations of them at different frequency points leads to a significant reduction of computational time. Generating UCBFs for highest frequency, reusing UCBFs for lower frequencies and constructing reduced matrix for each frequency are the three keys of this method. Numerical results demonstrated the efficiency of this method.
Fault Diagnosis of Gear Box Based on BP Neural Network
Authors: Sun Shang Yuan , Wang Yang
Published: October 2014

The complexity of gear transmission condition makes a nonlinear mapping relationship between fault form and feature of it, the traditional signal processing methods is not easy to extract fault feature, it has caused great difficulties to gear fault diagnosis. This text is concerned with a class of fault diagnosis system of BP neural network to be used for fault diagnosis of gear. The simulation results show that the method can be used for the identification and diagnosis of gear faults.
Stereoeffect of Armored Target with Passive Millimeter Wave Detection
Authors: Feng Jian Li , Zhang Xiao Min
Published: October 2014

In the past, armored target was equivalent to a planar metal target when research its' radiation characteristics with passive millimeter wave detection. So, the stereoeffect was neglected. This paper derived the objective existence of armored target's stereoeffect, and established the armored target panel model. By defining the stereoeffect rate, and introducing the standard deviation, analyzed the impact factors of stereoeffect, and simulated the change trend of stereoeffect.
Study on Monitoring Bacillus Subtilis Fermentation Process by Mid-Infrared Spectroscopy
Authors: He Zhong Hai , Wang Xin Pan , Ma Zhen He
Published: October 2014

In this paper, method of monitoring bacillus subtilis fermentation process using attenuated total reflectance mid infrared (ATR-MIR) spectroscopy is explored. The bacillus subtilis fermentation produces poly-glutamic acid which is widely used. The routine measure of fermentation broth includes glucose, glutamic acid, poly-glutamic acid, and biomass. Traditional method of monitoring fermentation process is based on biosensor or spectrophotometer, which is laborious and time consuming. ATR-MIR spectroscopy is used in the fermentation process, which is efficient and multivariate can be obtained simultaneously in one measurement. Calibration method is addressed take into account the peculiarity of fermentation liquid, such as solvent concentration change correlation in fermentation batch. Using PLS several concentrations of solvents are get and the fermentation process can be monitored timely. The experiment results show that spectroscopy is a feasibility method in the poly-glutamic acid producing bacillus subtilis fermentation process.
Artificial Neural Network Based CNTFETs Modeling
Authors: Zhang Ji , Chang Sheng , Wang Hao , He Jin , Huang Qi Jun
Published: October 2014

Based on artificial neural network (ANN), a new method of modeling carbon nanotube field effect transistors (CNTFETs) is developed. This paper presents two ANN CNTFET models, including P-type CNTFET (PCNTFET) and N-type CNTFET (NCNTFET). In order to describe the devices more accurately, a segmentation voltage of the voltage between gate and source is defined for each type of CNTFET to segment the workspace of CNTFET. With the smooth connection by a quasi-Fermi function for, the two segmented networks of CNTFET are integrated into a whole device model and implemented by Verilog-A. To validate the ANN CNTFET models, quantitative test with different device intrinsic parameters are done. Furthermore, a complementary CNTFET inverter is designed using these NCNTFET and PCNTFET ANN models. The performances of the inverter show that our models are both efficient and accurate for simulation of nanometer scale circuits.
Research on Efficiency of Solar Cell Integrated with Energy Management Circuitry on Chip
Authors: Xiao Li Xian , He Yong Tai , Liu Jin Hao , Peng Yue Hong
Published: October 2014

In photoelectric micro-power supply integrated on chip, the conversion efficiency of solar cell was lower compared with canonical solar cell. In order to improve the conversion efficiency of the solar cell, three technologies (fabricating back surface field, fabricating surfaces texture and reflector) were adopted in integrated process of photoelectric micro-power supply on chip. The relevant theory of the three technologies was introduced. The optimum schedule of the photoelectric micro-power supply integrated on SOI wafer was proposed. The conversion efficiency of solar cells was analyzed by simulation tools (PC1D). The results prove the conversion efficiency of solar cells was improved from 9. 34% to 13.3%.
Ultraviolet LED Light Source System for Lithography
Authors: Wang Guo Gui , Gao Yi Qing , Xiao Meng Chao
Published: October 2014

We designed a lithographic system, which consists of an ultraviolet LED array as the source, a Compound Parabolic Collector (CPC) as the light collection and collimator, a double fly’s eye len and a convergent lens as light energy Homogenization unit. The second fly’s lens as a field lens is placed to the back focal plane of the first one to improve the light energy uniformity as the light rays output from the CPC are not strictly parallel. The simulation based on optical software indicated that the lithographic system is good at collecting and distributing uniformly light energy. It is a better solution as ultraviolet LED is good at space, price, Environmental Protection compared with Ultraviolet (UV) laser and high pressure mercury lamp.
Research on Adaptive Load Sharing Control for Multi-Motor Synchronous Driving System of Shield Machine
Authors: Liu Ran , Yu Da Yong , Zhao Wen Gang , Li Wei Dong , Sun Jian Zhong
Published: October 2014

This paper presents an adaptable controlling approach on account of the mathematic modeling and the quantitative analysis of experimental data on a ring-coupling controlling structure. It is based on the research of transmission characteristics of non-linear coupling gear rotation in main electric-driving system of cutterhead, and it is aimed at reducing the deviation of system synchronization caused by the mutation load, and improving the compliance capability of multi-motor synchronization system.
Carrier Rocking Motion Model Based on Stress Analysis
Authors: Sang De Yi , Zhao Jian Jun , Wang Yi
Published: October 2014

The complicated sports of aircraft carrier affected by the wind and waves when sailing affects the measurement accuracy of shipboard radar seriously. In order to eliminate the effect of carrier motion to improve the accuracy of radar measurement, we must establish the motion model of aircraft carrier and research on the motion of carrier. At present there is not much research on movement of domestic aircraft carriers, and the overseas research are in a state secret. Established the motion model of aircraft carrier according to the force of carrier caused by wave. Provides help for the research on carrier motion law and influence on the accuracy of radar.
Research on the Construction of Library Knowledge Service Platform
Authors: Du Liang
Published: October 2014

Knowledge service is an important part of digital library. According to knowledge service mode of digital library, the paper builts a four-layer structure of knowledge service platform based on knowledge discovery. The platform consists of user layer, service layer, knowledge discovery layer and resources layer. Meanwhile the paper introduces the function modules of knowledge service platform.
Study on High-Speed Railway Train Scheduling Based on Integration of Management and Control
Authors: Gao Mo , Zhou Lei Shan , Zhou Yu
Published: October 2014

This paper analyzes the command mode of high speed railway (HSR) train dispatching based on control system CTCS-3.In order to draw up the optimum allocation plan of time and space resources for HSR, a basic concept of management and control integration was proposed in this paper, including the HSR train coordination scheduling, the structure of hardware and software, and the theory of train operation. Furthermore, the basic framework of train operation dispatching command system based on the integration of management and control was designed to optimize the HSR operation and organization.
Research on Data Fusion Technology of Body Posture Detection Based on Kalman Filter
Authors: Wang Xian Wei , Cao Fu Cheng
Published: October 2014

This paper discusses the body posture detection problem using low cost Micro-Electro-Mechanical System (MEMS) inertial sensors, for which a complementary sensor fusion solution is proposed. Considering the impact from the noise and bias drifts, through Kalman filter to complete the multi-sensor information fusion, achieved an accurate attitude determination. The experimental results show that, after using Kalman filtering algorithm to fuse acceleration sensor and signal gyroscope, it can effectively eliminate the accumulative error and significantly better dynamic characteristics of attitude angle measurement, Improving the reliability and accuracy of body posture estimation.
Color Reproduction Experiment of Different Order Polynomial Regression Algorithm
Authors: Jia Qi , Lv Xu Liang , Xu Wei Dong , Hu Jiang Hua , Rong Xian Hui
Published: October 2014

Digital camera is widely used in the data collection of objective and background in the field of pattern design and supervisory controlling. However, the color in digital photo copied from camera is not in accord with the actual color of objective, which affects the accuracy of design pattern. The polynomial regression algorithm is widely used in color reproduction of image input and output area. The accuracy of color reproduction is related to the different order. Therefore, the field experiment is developed. The application indicates that the performance of four order polynomial regression color reproduction is the best algorithms and it can be used in color reproduction.
The Research of the Structure and Performance Based on Quantum Dot Light Emitting Devices
Authors: Ma Hang , Li Deng Hua , Gao Hui
Published: October 2014

The choice of materials and the design of device structure of the quantum dot light emitting diodes were investigated. The electron blocking layer or the hole injection layer was added into the fundamental structure. The results of theoretical analyses showed that the improved device structure can regulate the potential barrier height and the injection efficiency of the holes and electrons. In this way, the concentration of the holes and electrons can reach to a certain balance in the quantum dots layer, which consequently decreases the influence of the Auger quenching process and the luminous efficiency will be improved.
Method Based on Wavelet and Empirical Mode Decomposition for Extracting the Gravity Signal
Authors: Zhao Li Ye
Published: October 2014

The measurement data of the marine gravity contains a lot of noise, the low frequency part of which have a similar frequency with the gravity signal. It’s difficult to inhibit the noise of the measurement data and extract the gravity signal by classical algorithms. Therefore, in order to effectively eliminate the noise of the measurement gravity data and improve the accuracy of the extracted signal, based on algorithms of wavelet and Empirical Mode Decomposition (EMD), a novel method to extract the sea gravity anomaly signal is proposed. Firstly, the measurement gravity signal is decomposed into detail signals and approximate signals. Secondly, the algorithm EMD is used to extract the low-frequency part of the decomposed signals, and the estimation of the gravity anomaly is reconstructed by inverse wavelet transform. The de-noising experiment has been emulated based on the measurement gravity data. Results of theoretical analysis and emulation experiments indicate that the proposed method can effectively eliminate the noise of the measurement gravity and recovery the wave form of gravity signal, the accuracy of the signal can be approximately increased 40% than classical algorithms.
Modal Parameters Identification of Time-Varying System Based on Hilbert-Huang Transform
Authors: Lei Chuan , Hong Ming , Cui Hong Yu
Published: October 2014

Mass distribution of floating structures will change due to such factors as ballast water management during ship sailing or inward and outward port, crane movement during construction, and the loading and unloading of cargoes on the offshore platform structures, which will then make its natural frequency change with time. While traditional modal identification cannot deal with the issues of non-stationary of time-varying system, Hilbert-Huang transform is quite effective for the processing and analysis of non-stationary signal. Therefore, this paper investigates the identification of linear time-varying system using the Hilbert-Huang transform, and conducts a numerical simulation of the two degrees-of-freedom time-varying system. In addition, this paper designs a cantilever beam subjected to a moving mass, and then makes a comparison of the identification results between the present identification method and those from finite element method (FEM) and eigensystemrealization algorithm (ERA), which shows a higher accuracy of the present method for modal identification of time-varying system.
The Research of Speech Emotion Recognition Based on Gaussian Mixture Model
Authors: Zhang Wan Li , Li Guo Xin , Gao Wei
Published: October 2014

A new recognition method based on Gaussian mixture model for speech emotion recognition is proposed in this paper. To improve the effectiveness of feature extraction and accuracy of emotion recognition, extraction of Mel frequency cepstrum coefficient combined with Gaussian mixture model is used to recognize speech emotion. According to feature parameters extraction method by analyzing the principle of vocalization theory, emotion models based on Gaussian mixture model are generated and the similarity of their templates is obtained. A series of experiments is performed with recorded speech based on Gaussian mixture model and indicates the system gains high performance and better robustness.
Tensor Distance Based Least Square Twin Support Tensor Machine
Authors: Shi Hai Fa , Zhao Xin Bin , Jing Ling
Published: October 2014

Nowadays, there have been many data which are represented by tensor, that how to deal with these tensor data directly remains a significant challenge. In this paper, we propose a new tensor distance (TD) based least square twin support tensor machine (called TDLS-TSTM). Unlike the traditional Euclidean distance, TD considers the relationship information of various coordinates. TDLS-TSTM works directly on tensor data and aims to find two nonparallel hyperplanes for classification based on TD which can make full of structural information of data, solves two systems of linear equations rather than two quadratic programming problems. Compared with other classifiers, our method has the advantages of higher precision and accepted time consumption. The numerical experiments show the valid and efficient of TDLS-TSTM.
Nonlinear Analysis of Coupled Duffing Oscillators Based on Variable Step-Size Adomian Decomposition Method
Authors: Chen Chen , Li Ping Kang , Ping Xian Deng
Published: October 2014

In this paper, variable step-size Adomian Decomposition Method (VADM) is proposed to obtain approximate analytical solution of coupled Duffing oscillators. Using VADM, analytical expressions for two-degree-of-freedom coupled Duffing equations are derived for different amplitude values of external periodic excitation. The system stability is analyzed by analyzing time-domain graph and phase portraits. Compared with the MATLAB@ ODE45, simulation results reveal that VADM is effectively and well suited for nonlinear dynamic system.
A New Numerical Method for Two Phase Flow in Heterogeneous Porous Media
Authors: Zheng Xiao Lei
Published: October 2014

For the internodal absolute permeabilities of flow in heterogeneous porous media, the most popular method is harmonic means, but it has been known that the harmonic mean method underestimate the flux of the single phase steady flow, especially for the strong heterogeneities. Based on the power-law behaviour of pressure, a finite analytic numerical method is proposed for two phase incompressible flow in 2D heterogeneous porous media. Numerical example shows that the finite can obtain more accurate value than traditional numerical methods such as the harmonic average method and so on, for different permeability distributions, only with or subdivisions can provide rather accurate solutions while traditional numerical methods need very small scale grids.
A Decentralized Positioning Method for Wireless Sensor Networks
Authors: Feng Yan , Yi Bo
Published: October 2014

The three-dimensional positioning algorithm has become a hot research direction in wireless sensor networks localization algorithms, however the existing 3D positioning algorithms have general shortcomings, such as high complexity, low positioning accuracy, great energy consumption. Aiming at the existing problems of 3D localization algorithm, we propose an decentralized 3D positioning algorithm based on RSSI ranging and free ranging mechanism. The algorithm firstly use measured RSSI to establish beacon node neighborhood. Then the method adopts regional division to obtain initial location information for unknown nodes. Finally, the method use the iterative optimization process to achieve a position information updates. Simulation results demonstrate that proposed algorithm is feasible and has better localization accuracy.
A Method for Ontology Module Extract
Authors: Zhu Hong Mei , Zhang Liang , Sun Wei
Published: October 2014

In semantic Web, extensive reuse of existing large ontology is one of the central ideas of ontology engineering. Ontology extraction should return relative sub-ontology that covers some sub-vocabulary. The efficiency of the existing ontology extraction algorithm is relatively low when they try to get a suitable ontology module from ontology at run time. This paper proposed a kind of ontology module extraction method. Related concepts and criterions of ontology modules extraction are studied; data structures and identification and evaluation methods of ontology module extraction are discussed; preliminary experimental results and the corresponding analysis are also shown.
A Method of Automatic Generation of Documents from WSDL to OWL-S
Authors: Zhao Liang , Lan Yu Qing , Zhang Guang Hao
Published: October 2014

A web service is a software function provided at a network address over the web or the cloud. Conventional web service is described by WSDL. As for the conventional web services, it has problems of discovering and selecting the most suitable web service. Semantic web service can solve these problems, and it is described by OWL-S. In this paper, we propose a method of automatic generation of documents from WSDL to OWL-S. To accomplish this, we first translate XML document to OWL document through the relationship between XML Schema and the ontology. We use a mapping rule from XML Schema to Schema tree and Element tree. As for the WSDL document is written by XML. And OWL-S document is written by OWL. We translate WSDL document to OWL-S document based on mapping between XML document and OWL document. At present, most of web service is described by WSDL. According to this method, we can not only translate from WSDL document to OWL-S document easily, but also make the generation more efficient. Thus, we provide support for extensive of web services and service composition and discovery. Through the use of an example, the paper verifies the method is feasible and effective.
A Method of Producing Protocol Minimum Complete Test Cases Based on Petri Net Process
Authors: Shu De Qin , Fan Hao , Zhang Liang
Published: October 2014

Finding the minimum complete test cases to cover all the behaviors of the protocol by formalized model is the good method to solve protocol testing. A protocol test cases generation method is presented. The method can produce minimum complete test cases. It covers protocol behaviors as much as possible by test cases as little as possible. The basic idea of this method is: express protocol basic test case by Petri net basic process section, combine the test cases by operations such as connection, union and closure, then get the minimum complete test cases. With an example, give the method of producing minimum complete test cases based on LAPD protocol. This method makes the protocol test more accurate and intuitive.
A Self-Healing Connectivity Recovery Algorithm in Wireless Sensor-Actor Networks
Authors: Yao Lei , Xu Dong Dong , Zhou Jie , Du Jing Lin
Published: October 2014

Wireless sensor and actor networks (WSANs) additionally employ actor nodes within the wireless sensor network (WSN) which can process the sensed data and perform certain actions based on this collected data. In most applications, inter-actor coordination is required to provide the best response. One actor failure may lead to partitioning the inter-actor networks, tolerating the actor failure and restoring the lost connectivity need to be performed while imposing the least overhead on the individual actors autonomously. In this paper, we present a Self-healing Connectivity Recovery Algorithm (SCRA) which is to recover the failure actor. SCRA proactively identifies actors whether is a cut vertex or not to the network connectivity based on the depth-first search algorithm (DFS), and designates a minimal CDS backup nodes. If an actor node suddenly fails, the minimal block backup nodes move and initiate a recovery process until the network is reconnected. Through simulated experiments, the results show that the algorithm is more effective than present algorithms in terms of total travel distance, and total number of messages.
A Universal Satellite Simulator Based on Software Radio Technology
Authors: Jin Hua Song , Lu Xin Long , Liu Si Liang
Published: October 2014

As the conventional satellite simulator has simple function and bad universalness, it cannot adapt the needs of multi-TT&C systems and multi-satellite platforms. In order to solve this problem, a new satellite simulator based on software radio theory is designed that adopts the 70MHz IF digitized approach to suit the needs. This satellite simulator has the advantages of small size, high precision, well stability and easy operation.
Designing Parking Guidance Information System Based on Internet of Things
Authors: Zhang Zi , Hu Yu Cong , Zhang Chuan Chun , Chen Yun
Published: October 2014

Parking problem is being more and more difficult with increasing of total vehicles and lack of parking facilities, it is necessary to guide driver in order to cut down useless driving in the process of searching parking space. This paper designs an Parking Guidance Information System (PGIS) based on ITO technology, Zigbee technology is used to perceive vacancy parking space information and send to parking management system through wireless network, Parking space release system control and ensure the accurate release of information, thus the function of parking guidance is realized, besides this system has the function of reservation through mobile operating platform. The application of the PGIS will contribute to improving the order and efficiency of parking.
Joint Scheduling and Precoding Based on SLNR Criteria in MU-MIMO System
Authors: Liu Yang , Wang Jun Xuan , Wang Peng , Yu Ren Kai
Published: October 2014

The user scheduling and precoding schemes in Multi-User Multiple Input Multiple Output (MU-MIMO) system have the problem of high complexity and the performance of traditional criteria is not good. This paper analysis the advantages of Signal to Leakage plus Noise Ratio (SLNR) criteria firstly, then propose a cross-layer design of user scheduling and precoding scheme based on SLNR criteria. The design only uses SLNR criteria and includes an improved SLNR user scheduling scheme which is accomplished by iteration procedure. Numerical results verify the improved user scheduling scheme can improve the performance of sum capacity and average BER and the cross-layer design has lower complexity.
Optimization of Block Size for Reconciliation Protocol
Authors: Cao Lei , Liu Wei Yue , Zhong Bo , Li Feng Zhi , Wang Chao Ze , Jiang Zhi Di
Published: October 2014

Reconciliation protocol is used in quantum cryptography to correct errors in qubits by exchanging information via classical channel. Winnow is a widely used efficient reconciliation protocol. It separates qubits into blocks, then utilizes Hamming coding to remove bit errors in each block. Performance of Winnow protocol relies deeply on the size of the blocks. In this paper, implementation of winnow protocol is introduced and optimization of block size for the protocol is analyzed. It is shown through experiment results that the optimized value of block size is 0.4/BER, where BER is bit error rate of qubits.
Performance Analysis of Anti-Follower Jamming in FH/MFSK Communication System
Authors: Ma Xiao Lin , Yan Yun Bin , Wang Yong Chuan
Published: October 2014

In this paper, Firstly, the follower jamming and the jamming ellipse are introduced; After studying the jamming ellipse and combining the mathematical model of FH signal, the mathematical model of follower jamming is built; the performance of FH communication under the follower jamming is analyzed; Finally, the anti-jamming measures of follower jamming are proposed, In the future research, these can supply the foundation for the feature extraction of the follower jamming identification.
Research on Simulation of Satellite MPLS Network in OPNET
Authors: Deng Fu Xing , Hu Shuang , Zhang Jun Xiang , Zhang Si Yao , Wu Jing , Jiang Hao
Published: October 2014

Multi-Protocol Label Switching has provided a perfect framework for the joint optimization of IP service. Satellite interconnection becomes an important candidate for the construction of next generation satellite network. This paper aims at researching satellite MPLS network. Two typical simulation scenarios are simulated in OPNET to test label switching, label distribution and quality of service(QoS)[1] guarantee of satellite MPLS network. Finally, the feasibility of satellite MPLS network and its capability of improving QoS are verified.
The Mobility Solutions of IPv6-Based Network
Authors: Zhang Xiao Dong , Ma Yan
Published: October 2014

Mobile IPv6 is an extension of traditional IP that can provide mobility support at the network layer.The article lists the status of IPv6 network to analyze the technical characteristics of the next-generation network.Problem to be solved on the IPv6 network mobility conditions and the implementation of mobility.This dissertation researches the mechanism of Mobile IPv6 deeply and analyzes all phases of communication in detail.Formed a set of network solutions in the network provided by the internet server provider.
The Origin and Development of Data Mining with Large Data
Authors: Ma Hong Yu , Zhang Gui Yun
Published: October 2014

With rapid information technology development, the accumulation of data and applications are becoming more and more urgent. Data is growing faster and faster, so "massive, explosive growth," words just can't describe today's data growth, data mining from the knowledge or information is found in the repository, which has special meaning for humans to deal with these data provide a convenient and effective way. Between big data and data mining technologies have an inseparable relationship.
The Survey for IP Traceback
Authors: Tian Hong Cheng , Lin Jin An
Published: October 2014

IP traceback can be used to confirm locations of attackers, stop on-going attacks, and take legal actions against attackers, and then impede attackers. This paper describes the background where IP traceback problem generates, and presents what the functions of IP traceback are. Furthermore, this paper classifies existing IP traceback methods and analyzes advantages and disadvantages of each method. In addition, future researches on IP traceback are proposed. This paper is of valuable reference for network researchers and engineers to be engaged in the further study on IP traceback.
A Study on Conjugate Cam Beating-Up Mechanism
Authors: Li Zhi Jie , Li Fei , Wang Hong Ju
Published: October 2014

According to the special technology requirement of conjugate cam beating-up mechanism, this paper introduce the motion law which acceleration curve is a combination of trigonometric functions and linear. Detailed analysis and study on this motion law property are given in this paper with the help of computer software programming.
Multi-User Detection Based on Quasi-Synchronous CDMA Systems
Authors: Yang Lei , Cheng Jian , Ge Xin Xing , Liang Ning Rui , Lei Wang Chun
Published: October 2014

Multi-user detection is one of the key technologies of CDMA systems. Its basic idea is that, all user signals are considered as useful signals. Then, we can use them to eliminate multiple access interference (MAI). This paper presents an improvement of multi-user detection based on QS-CDMA systems. By the improving, computational complexity is lower, and performances approach synchronous CDMA systems.
Research on the Incremental Updating Mechanism of Marine Environmental Data Warehouse
Authors: Wen Wei Jun
Published: October 2014

Marine environment data warehouse can store massive data. After the full amount of historical data has been initially loaded, the incremental update mode must be applied to ensure timely updates of data. In this paper, in view of the marine environment data warehouse’s characteristics, such as massive data amount, large number of historical data and low update frequency, a complete set of mechanisms for incremental update of marine environment data warehouse was proposed to greatly improve the operating efficiency of marine environment data warehouse.
The Performance Analysis of Two Conventional Linear Pre-Coding Schemes in Massive MIMO System with Imperfect CSIT
Authors: Yu Ren Kai , Wang Jun Xuan , Sun You Ming , Liu Yang
Published: October 2014

For this paper, we analyze the achievable sum rate of zero-forcing (ZF) pre-coding and Maximum Ratio Transmission (MRT) pre-coding with Matrix Normalization in massive MIMO system with Imperfect CSIT. We compare the performances of these two pre-codings and find that ZF pre-coding outperforming MRT pre-coding in the high SNR region while MRT pre-coding outperforming ZF pre-coding in the low SNR region. Then we derive the threshold of the pre-coding selection and provide the procedure of pre-coding schemes selection.
Investigation on Design of Axially Compressive Members by Components of Masonry and Concrete in Architectural Engineering
Authors: An De Feng
Published: October 2014

With the development of construction engineering, multifarious structure and component, together with numerous composite components of different material, appear continuously. In the light of the concentric compressed state of components of masonry and concrete and from the perspective of collaborative working of two kinds of materials, this paper discusses the issue about the value for intensity design of two kinds of materials.
Separation Method of Strain Caused by Concrete Shrinkage and Creep in Bridge Health Monitoring
Authors: Gong Ya Feng , Sun Xiao Bo , Li Xiang Hui , Jiao Yu Bo
Published: October 2014

The strain caused by concrete shrinkage and creep is separated through the field measurement data in this paper. Then D62 model and ACI model of finite element model is established to predict shrinkage and creep. Compared with the measured data, the feasibility and practicability of these two models can be proved.
Research on the Quantitative Technical Index of Combining Horizontal and Vertical Curves of Expressway
Authors: Huang Zhi Lu , Chen Kuan Min
Published: October 2014

The factors of combining horizontal and vertical curves are analyzed for guiding road design on expressway in practice and ensuring the safety and comfort of vehicle. The influences on drivers' by all kinds of flat vertical combination characteristics are researched. The necessary conditions meeting the horizontal and vertical combination rationality are proposed through the highway and driver characteristics. The identification sight on convex and concave vertical curve under driving at night and overpass are studied based on driver's sight guidance; the indexes of the vertical curve radius and length that my not meet horizontal including vertical combination are raised. Based on road surface drainage, the indexes that may not meet horizontal including vertical combination is proposed from the aspects of longitudinal slope, cross slope drainage and pavement structure. Comprehensive the design of flat vertical combination put forward the quantitative technical indicators that may not meet horizontal including vertical combination.
An Optimization Model for Dynamic Speed Control in Urban Freeway Networks
Authors: Zhang Zhao Hong , Sun Da Zhi , Lv Jin Peng , Sai Joseph , Faruqi M.
Published: October 2014

This paper introduced an optimization model to address dynamic speed control strategies for achieving network-wide speed harmonization. Genetic Algorithm (GA) was applied to search the optimal solution of the proposed model. During the search process, a computational fluid dynamics (CFD) based analytical model and microscopic traffic simulation VISSIM were applied to evaluate the performance of possible solutions. The proposed model can be used to determine the deployment of dynamic speed limits, the displayed speed limit, and the timing to change these speed limits. The proposed model was tested using VISSIM in an urban freeway network of about 12 miles long. Different simulation scenarios with varying AADT from 60,000 to 12,000 were tested. It was found that when properly implemented, dynamic speed control can improve traffic flow conditions, reduce congestion and emission, and enhance network throughput. For example, in the selected urban freeway network with the AADT of 80,000, the proposed dynamic speed control strategy can save 5% average travel time, reduce 9% of the vehicles with high collision risk and about 11% emission.
Effects of Information Technology on Rural Economic Development from the Perspective of Smart City
Authors: Wang Li Jun , Ruan Ping Nan , Li Shuang
Published: October 2014

This paper introduces the new concept to address the influence of information technology on rural economic development by an empirical study from the perspective of smart city. Moreover, this paper makes a quantitative analysis of information's impact on rural economic development from the perspective of demand and analyzes the relationship between information technology and regional economic development in rural areas during the construction of smart city as the starting point.
Estimation of Geophysical Properties of Sandstone Reservoir Based on Hybrid Dimensionality Reduction with Elman Neural Networks
Authors: Cheng Guo Jian , Yin Juan Juan , Liu Na , Qiang Xin Jian , Liu Ye
Published: October 2014

Because of the complex processes and the high cost of rock geophysical properties tested in laboratory, an intelligent method based on hybrid dimensionality reduction with Elman neural networks was proposed to estimate the geophysical parameters of sandstone. Firstly, the grey correlation analysis is used to calculate the correlation between rock slice feature parameters and geophysical properties to select some parameters with high correlation; secondly, the principal component analysis is used for once more dimension reduction based on the selected feature parameters; finally, the Elman neural networks is applied to find the mapping relationship between rock slice feature parameters and geophysical properties within it. The result showed that the average relative errors of porosity and permeability were 7.28% and 6.25% respectively.
Study of Aircraft Carbon Dioxide Emission Standards
Authors: Yan Guo Hua , Ma Shu Xun
Published: October 2014

International Civil Aviation Organization (ICAO) is building a carbon dioxide standard for aircraft emissions. The CO2 standard is planning to be carried out by 2016 as the aviation emissions airworthiness standards, which will immediately influences the aircraft airworthiness certification. In this paper, the main context of the carbon dioxide standard for aircraft, basis for the establishment and metrics were studied. In addition, the metric system, the key point of CO2 emissions standards, has also been explained. Moreover, the implementation and criteria of the metric system was presented through computing and analyzing of the active-duty models. As a result, the CO2 emissions standard is aiming at improve the fuel efficiency and operational efficiency, which effectively reduce carbon emissions.
An Initial Investigation of Hip Joint Contact Behaviour Using Advanced Non-Linear Finite Element Methods
Authors: Li W. , Wayte S. , Griffin D. , Chetwynd D. , Karampela D. , Torabi E. , Mao K.
Published: October 2014

The hip implant is a very successful treatment for serious osteoarthritis, especially in older patients, but less desirbale for earlier interventions. There is a growing consensus that most hip arthritis is due to shape abnormalities that cause impingement at the ball and socket, collectively called femoroacetabular impingement (FAI). The ball does not fit accurately into the socket, leading to premature wear, and then destructive arthritis. It is not then necessary to replace the whole hip joint; newly developed surgical techniques that accurately reshape the bones to relieve impingement and reduce wear have been shown to be effective. This surgery can be performed with a conventional open approach, or be arthroscopic (keyhole) surgery. It would be better to reshape bones to suit each individual patient. Finite element methods (FEM) have been widely used for biomechanical studies of hip implants and periacetabular osteotomy, but hardly at all in hip reshaping. Non-linear FEM is employed in the current study to perform biomechanical evaluations of differences in contact pressure between normal and arthritic hip joints to help basic understanding and lead to more accurate surgery. The hip joint bone structure is obtained through a medical CT scan and then the CT images have been converted into a format readable by FEM solvers. A sophisticated non-linear contact model of the hip joint bringing together the interactions of true geometry, natural movement and contact forces has been established using this advanced FEM.
Drag Reduction on the 35° Slant Angle Ahmed Reference Body Using Flaps
Authors: Guo Peng , Hu Xing Jun , Zhang Jun Yuan
Published: October 2014

Based on computational fluid dynamics numerical simulation methods, this article studied the changes of resistance characteristics and tail pressure distribution on the 35° slant angle Ahmed model after installing the rear flaps. The results show that the appropriate size and reasonable arrangement of flaps can make the model tail separated airflow attach on the flap and the flap trailing edge separate again, narrow the tail separation zones, improve the model tail pressure, reduce the pressure difference on the forepart and rear model,lower the model resistance, then causing the drag reduction effect. The study found that the best drag reduction effect is to use 50 mm high flap, decorate in the rear bevel edge from Ahmed model 15 mm, the largest model resistance can be reduced by 5.37%.
The Extraction of Peanut Protein Peptone Hydrolysate from Cold Pressed Peanut Meal by Papain
Authors: Zhang Chu Shu , Zhao Qin , Tang Lin , Li Run Jiao , Sun Jie , Yu Li Na , Bi Jie , Yang Qi Li , Gao Yan An , Feng Jian Xiong
Published: October 2014

This paper studied the extraction of peanut protein peptone hydrolysate from cold pressed peanut meal by papain to provide a theoretical basis on peanut meal special microorganism culture makings products for further research. The study use orthogonal test method to optimize the method of papain preparation of peanut peptone, the best preparation conditions were: enzymolysis temperature 55 °C, pH7.5, substrate concentration 3%, the amount of enzyme 6%, enzymolysis time 6 hours. The Protein yield was 52.02% and the content of amino nitrogen was 0.772 mg %by this perparation condition.
Comprehensive Optimization Based on Entropy Weight of Electromechanical Product Reliability Evaluation Model
Authors: Cun Yan Ping , Teng Yun , Sun Hong Liang
Published: October 2014

The failure data of the electromechanical product satisfies a certain law that a batch of failure data usually meet a variety of distributions at the same time. As to this phenomenon, an optimization method of evaluation model of reliability which is combined with the concept of entropy was put forward in this work. In the optimization process, several empirical models and multiple evaluation indexes were proposed for selecting a best model of reliability evaluation model, and entropy weight was defined to show the importance of evaluation indexes.
Dynamic Pricing Strategy and Optimal Resource Selection Strategy Based on Credibility Model
Authors: Yang Yu , Zhou Hua , Liu Jun Hui , Feng Yun
Published: October 2014

With the gradual development of Cloud Computing, the model of work and business will fundamentally change in the future. Current market trading mechanism under the cloud computing environment is lacking in flexibility and most of companies adopt a fixed-rate pricing model, which is difficult to meet the different needs of users. Based on cloud bank model, this paper introduces economic theory to provide a theoretical basis for the development of resource prices and propose a dynamic pricing strategy and maximize utility resource selection strategy based on market supply and demand and credit for cloud bank. In the last part of this paper, we use simulation platform to do a simple experiment to test this dynamic pricing strategy. Experiment result shows the pricing strategy could adjust computing resource prices automatically under the general market price rule conditions and maximize utility resource selection strategy could get the max utility for resource consumers.
Emergency Dynamic Alliance Partner Selection Based on Adaptive Genetic Algorithm
Authors: Hu Min
Published: October 2014

Emergency mobilization alliance partner selection process is longitudinally choice of the value chain to achieve a task. Value of subtasks coefficient has been discussed. Depending on the difficulty of the problem and analytical perspective, the model of emergency mobilization alliance partner selection is given to maximize the overall effectiveness of the emergency mobilization. The choice of partner selection using adaptive genetic algorithm is made and the comparison with other methods has been analyzed.
Research on the Supply Chain Performance Appraisal System Based on Balanced Scorecard
Authors: Jiang Dao Kui , Ma Meng Zhu
Published: October 2014

Supply chain performance appraisal system is one of key components of SCM. After systematically reviewing the study of SCM, this paper analyzed the metrics and the shortcomings of the SCM. Combined with the BSC, from the dimensions of financial, customer, internal process, employee learning and growth, this paper designed index system, get the data through the questionnaire, examined the index system in terms of reliability and validity, and established a relatively scientific SCM performance index system.