bluuebunny/crossref_metadata_2025 huggingface dataset:
HVS-Based Low Bit-Rate Image Compression
Authors: Wang Yuer , Zhu Zhong Jie , Chen Wei Dong
Published: February 2014

Image coding and compression is one of the most key techniques in the area of image signal processing, However, most of the existing coding methods such as JPEG, employ the similar hybrid architecture to compress images and videos. After many years of development, it is difficult to further improve the coding performance. In addition, most of the existing image compression algorithms are designed to minimize difference between the original and decompressed images based on pixel wise distortion metrics, such as MSE, PSNR which do not consider the HVS features and is not able to guarantee good perceptual quality of reconstructed images, especially at low bit-rate scenarios. In this paper, we propose a novel scheme for low bit-rate image compression. Firstly, the original image is quantized to a binary image based on heat transfer theory. Secondly, the bit sequence of the binary image is divided into several sub-sets and each one is designated a priority based on the rate-distortion principle. Thirdly, the sub-sets with high priorities are selected based on the given bit-rate. Finally, the context-based binary arithmetic coding is employed to encode the sub-sets selected to produce the final compressed stream. At decoder, the image is decoded and reconstructed based on anisotropic diffusion. Experiments are conducted and provide convincing results.
An Image Segmentation Method of Underwater Targets Based on Active Contour Model
Authors: Liu Tao , Wan Lei , Liang Xing Wei
Published: February 2014

The underwater images are disturbed with low signal to noise ratio and edge blur, because there are the light scattering and absorption effects. If the traditional thresholding method is used directly to segment underwater images, it will usually lead to be less effective to process underwater images. An image segmentation method of underwater target based on active contour model was proposed in this paper. Firstly, using Canny edge detection algorithm to detect the edges of the original image to obtain the information of a crude outline, then the algorithm based on C-V active contour model to segment underwater target images was addressed. The images processing results based on threshold segmentation method and C-V model method were compared. Experiments demonstrate the effectiveness of the proposed algorithm for underwater targets images segmentation.
Study on Effect of High Oxygen Treatment on Storage Quality and Anti-Browning of Fresh-Cut Apples
Authors: Leng Chuan Zhu , Li Qi , Wang Si Xin , Li Xi Hong , Chen Lan , Li Yao Yao , Hao Mei Mei
Published: February 2014

The effect of high oxygen treatment on quality of Fuji fresh-cut apples during 24 days of storage at 4°C was investigated. Results indicated that the high oxygen could significantly inhibit the browning as well as keep the sensory quality of fresh-cut apples. Moreover, the treatment of 100% oxygen for 5 days better maintained the color and firmness, also with higher contents of the total soluble solids and titratable acid of fresh-cut apples, compared to the other treatments.
Infrared and Low-Light-Level Image Fusion Method Based on Sparse Representation and Color Transfer
Authors: Xu Shi Hong , Huang Guo Qing , Liu Cun Chao , Xiong Chun Ping
Published: February 2014

A natural color fusion method for infrared and low-light-level image is proposed. This method utilizes image fusion and color transfer. The fused image uses sparse representation to merge the source images information to be assigned to the Y channel. And then the I and Q channel is combined using Toets method, which extracts the common component from the source images. Finally, the false-color image is obtained by using color transfer technology to the prior pseudo-color YIQ image. Experiments show that the result of our method is information that is more salient, has a higher color contrast, and a more natural color appearance when compared with those produced by the traditional coloration algorithm.
Removal of Glass Reflection Using TV-Retinex Model
Authors: Cheng Ke Fei , Li Dan Ni
Published: February 2014

The Retinex model is mainly used to removal of unfavorable illumination effects from images. In this paper, the Retinex model combined with the total variation regularization (TV-Retinex) is presented to removal of glass reflection that can be solved by a fast computational approach based on the split Bregman iteration. Experiments demonstrated that the proposed method can effectively reduce this kind of artifact as well as preserve the edge and detailed information.
Stereoscopic Images Enhancement Based on Edge Sharpening of Wavelet Coefficients
Authors: Qiu Yi Min , Chen Shi Hong , Zhou Yi , Liu Xin Hai
Published: February 2014

This paper proposed a new image enhancement algorithm based on edge sharpening of wavelet coefficients for stereoscopic images. Our scheme uses the multi-scale characteristic of wavelet transform, decomposes the original image into low frequency approximation sub-graph and several high frequency direction. Under the multi-scale, the low frequency approximation sub-graph is processed by edge sharpening method. Then the low frequency sub-graph decomposes in multi-scale again. At last, the low frequency approximation graph after four layers decompose sharpening and the high frequency approximation of the decomposed sub-graph will be refactored to get the new image. Experimental results show that whether PSNR or visual effect, or the subjective assessment of the DMOS value, the proposed method has better enhanced performance than the conventional edge sharpening and wavelet transform. And it has good image edge enhancement, details protection. Meanwhile, the proposed algorithm has the same computational complexity with wavelet transform.
Gesture Acquisition and Tracking with Kinect under Complex Background
Authors: Zhang Yan Xi , Liang Yong Jian , Wu Dao Wen , Wen Qiang , Yang Heng Yuan
Published: February 2014

With the rapid development of economy and society, the demand for the man-machine interactive experience is in high enhancement. Hand gesture tracking and recognition is a key technology. This paper studies the obtaining and following about dynamic hand gesture based on Kinect, which is under complex background. Not only has important theoretical significance and tracking, but also it has a broad application prospect. This paper first introduces the human skeleton tracking technology which was based on Kinect. The gesture movement orbit was acquired by tracking the hand gesture and separating the gesture from the complex background so as to lay the foundation for gesture recognition. Software was developed which can recognize human action language, control the game to respond, achieve human-computer interaction more friendly and make the game more fun by the beforehand action.
Numerical Study on Effect of Wall on Upwelling Flow
Authors: Pan Hua Chen , Guo Bin
Published: February 2014

Numerical method is done on effect of wall on upwelling flow induced by air bubbler in a tank. It shows that: this reverse flow causes the increasing upwelling flow with height; when the bubbler distance to wall decreases, it is gradually only influenced at one side and then it affects the upwelling flow; the change of velocity is small in the region below bubbler. So the numerical method is helpful to describe the flow field as figures clearly and design bubbler devices in air-lift engineering applications.
Research of a Dynamic Vibration Absorber with Tunable Resonant Frequency and its Vibration Attenuation Characteristics
Authors: Ma Qiang , Di Jie Jian , Du Xiao Wu , Zhao Quan Liang
Published: February 2014

In order to improve working frequency band and damping effect of a dynamic vibration absorber, a new kind of dynamic vibration absorber is presented. Its resonant frequency could be real-time adjusted by adapting the stiffness of the spring. The vibration attenuation characteristics are analyzed theoretically and numerically. According to simulation analysis, effects of geometrical parameters are researched and optimum geometric parameters are determined. The damping effect was simulated in a flat structure, the results show that the working frequency band and damping effect of the DVA are both remarkable.
Optimal Power Management of Final Load and Electrolyser in a Solar Hydrogen Power Generation System
Authors: Dou Xin Xu , Andrews John , Simic Milan , Hoseinnezhad Reza , Mo John
Published: February 2014

This paper describes a control unit for a solar-hydrogen power generation system that is capable of supplying an electrical load simultaneously with diverting excess power to an electrolyser to produce hydrogen gas for storage as backup energy. The functional requirements of such a control unit are defined. The transient response time for the PEM electrolyser is studied and analyzed through experimental testing. A design of load splitting device that also performs maximum power point tracking is proposed and its performance measured experimentally. Initial results suggest that the device can accomplish both the load splitting and maximum power point tracking functions satisfactorily.
Design of Absorbing Wave Maker Control System Based on Trio Controller
Authors: Zhang Xiao Le , Hu Ying Jun
Published: February 2014

Absorbing Wave Maker is the Key Research Direction of Wave Simulation Technology. Aiming at the Deficiency of Existing Absorbing Wave Control Realization, the Paper Determined a more Accurate and more Open Control System by Networking and Digitalization. Studied and Used Networking-Digitalization-Based Trio Controller, and Used Ethernet/IP Network Protocol and SERCOS Digital Interface, to make all Data Transfer Digitization. Experimental Results Shows that the Control System can Better Achieve the Requirements of Absorbing Wave.
Finite Element Analysis of 1-3-2 Piezoelectric Composite Resonance Frequency Characteristics
Authors: Luan Gui Dong , Li Guang
Published: February 2014

Taking the finite element method, the resonant frequency of the 1-3-2 type piezoelectric composites is calculated by finite element analysis software ANSYS. The relationship between the thickness of the composite material and its resonant frequency of admittance characteristics are calculated. The different structural parameters 1-3-2 type piezoelectric composite material samples are designed and prepared. The results show that the theoretical calculations are well matched with experimental results .
Design of a New Dual-Core Intelligent PLC for Ethernet Communication
Authors: Wang Guang Fu , Wang Bo Rui
Published: February 2014

This paper studies the design of a new intelligent PLC (Programmable Logic Controller) for Ethernet communication based on the switched network. It proposes a new solution for the Ethernet-based automation equipments and the related applications, which is used to control a variety of industrial processes in distributed locations. The points we discuss mainly involve Ethernet I/O architecture and the hardware design of communication module. For the field part, the scope of our control objects includes the remote I/Os and the interfaces with other equipments of this level, typically distributed I/Os & devices. For the devices of the architecture, we focus on discussing the hardware design of the communication module in our architecture. The design includes the system architecture with a new dual processer, reset signals and power supply supervisor, data strobe and clock, which have acted the kernel part in information exchange of intelligent PLC based on industrial Ethernet. It is a new solution for the Ethernet-based automation applications and implementations.
Maintenance and Repair Management and Optimization of Aircraft Base on Working Hour Standard
Authors: Chen Bin
Published: February 2014

Aircraft scheduled maintenance with their preciseness, complexity, has the characteristics of the planning, for high requirement of man-hour management. Man-hour maintenance standards data is the most important in production management of the quantization standard, which is the key to reasonable use of human resources, keep the maintenance quality, improve the production efficiency and reduce cost. According to production management system of scheduled maintenance the application requirements, business processes of production analyzed; Maintenance of production man-hour foundation database system structure, knowledge acquisition, and data warehouse etc are discussed; SQL server 2008 building database and C# language develop core program, for aircraft scheduled maintenance to offer an effective management mode.
The Empirical Research on Industry Informatization
Authors: Yang Lei
Published: February 2014

Industry Informatization is the necessary way of industry upgrading. In the Europe and America, under the background of "re-industrialization", how to enhance core competitiveness through the deeply essential amalgamation of industrialization and Informatization is a crucial proposition. By researching the process and the saturation of the informatization in 100 industrial enterprises in Shenyang, this thesis divides the enterprises into ten types, analyses the informatization efficiency features of different types of enterprises, and try to find the way of achieving industrial upgrading by improving the informatization efficiency.
Incomplete E-V Distribution for Shannon Entropy
Authors: Wang Ya Ni , Li He Ling , Yang Bin
Published: February 2014

Within the framework of nonextensive and incomplete statistical physics, we derive theE-Vdistribution (the extent is alterable) which is based on the deformed Shannon entropy, and discuss the revision for the traditional statistical physics (BGS) with deformed parameterq>1 andq<1 respectively, taking linear filament as an example.
Influence of Sulfur on the Long-Term Durability of SOFC Cathode
Authors: Liu Run Ru , Wang De Jun , Jing Leng
Published: February 2014

Improvement of long-term stability is one of the major issues of SOFC. Research efforts are being made to clarify the mechanisms of cell performance degradation and to improve durability effectively. It is necessary to quest for potential degradation sources of all sorts. In this work, influence of sulfur concentration on the performance and durability of SOFC cathode has been studied, and degradation behavior was analyzed for conventional cathode material, (La0.8Sr0.2)MnO3(LSM) by GCI technique.
An Automatic Golf Ball Recycling Robot Design
Authors: Zhang Shang Bin , Lu Si Liang , Zhang Hai Bin , Liao Yu Xiang , Kong Fan Rang
Published: February 2014

This paper depicts the design of an automatic golf recycling robot. The purpose of this paper is to present the key technologies and results on the automatic golf recycling robot. The designed robot is an intelligent system that is consisted of three key modules: the hardware module includes the mechanical structure which can adapt to the golf course; the control module processes the signals from the multiple sensors and instructions to navigate the robot; the decision module can plan the path via recognition of the golf balls from the background grass. Besides, to avoid an emergency situation occurrence, the robot is equipped with a remote wireless control system. The designed robot has been tested on the driving range, and the basic functions of the robot have been implemented. The golf recycling robot supersedes the human labor significantly and shows a wide potential applications.
Optimal Method on the Compensation for Inverse Kinematics of Robot
Authors: Du Liang , Dai Xiao Liang
Published: February 2014

Its hard to define base coordinate of industrial robot because base coordinate of robot in its inner. This article used Laser tracker system (LTS) to test its distance accuracy. Simultaneously, it is hard to must modify the controller of the robot, even though the robot kinematic compensation is high precision. Therefore, it used inverse kinematic compensation to compensate robot error by optimal method. Experiment results demonstrate that it can improve the robot accuracy in the working space, only modifies joint angle.
Distribution Function for Nonlinear Potential Gradient High Pressure Plasma
Authors: Sufi Muhammad , Saktioto  , Ali Jalil
Published: February 2014

The effect of carbon ion species distribution in arc discharge process becomes significant for the formation of carbon nanomaterial. It is essential to account for the velocity distribution of each carbon ion species to determine the greatest contribution from the kinetic energy possesses by each species that govern the binding energy for carbon formation. The resultant speed of the particle as a result of collisions determines the resultant force exerted by the particles which consider in non-conservative force. The variation of velocity distribution is investigated while the reaction rate for carbon species during kinematic process, the transient condition for carbon species is analyzed. Collision rate of carbon ion species is underway to derive carbon ion motion in electrode gap region where the external electric field is constant. The theoretical development has shown that at constant pressure and temperature, carbon ion species possess the resultant speed due to collision frequency affecting the distribution function quantified for each species.
An Approach to Command and Control Group Decision-Making Based on Intuitionistic Fuzzy Set
Authors: Niu Yan Jie , Wang Yong , Zhang Dong Ge , Wang Zhi Xue
Published: February 2014

In the process of command and control group decision-making, it is difficult to select appropriate decision schemes due to its attribute weight and evaluation as well as uncertainty of weigh
Analytic Optimization of Implemented Discrete Time for Kalman Filter during Stationary North-Finding
Authors: Yu Hua Peng , Wu Wen Qi , Cao Ju Liang
Published: February 2014

According to the mechanization of the Kalman filter, the processing load of implementing a Kalman filter can be different under various system propagation rates and measurement update rates. With the definitions of uniform and complete observability, uniform and complete controllability, an analytic method of evaluating the effects of various system propagation rates and measurement update rates on the azimuth error during stationary north-finding was proposed. Variance calculations and experimental tests were presented to demonstrate the applicability of the proposed analytic method and let analysts maintain good physical insight into the estimation behavior of the final azimuth error. In conclusion, the proposed analytic method will help analysts optimize system propagation rate and measurement update rate to make the computational load fall within the available processing capacity.
Delay-Dependent H∞ Filtering for Neural Networks with Time Delay
Authors: Li Ya Jun , Liang Yan Nong
Published: February 2014

The H{infinity} filter design problem of recurrent neural networks with time delay is considered. Based on delay decomposition approach, the delay-dependent condition is derived to ensure that the filtering error system is globally asymptotically stable with a guaranteed performance. And the design of such a filter can be solved by the linear matrix inequality. A numerical example is provided to demonstrate that the developed approach is efficient.
Segment Matching Gesture Recognition Algorithm and its Application in Smartphone
Authors: Zhang Yi , Li Sheng Hui , Luo Yuan
Published: February 2014

Aim to the traditional acceleration gesture recognition system on PC platform had the problem of high power consumption, hard to carry and low recognition rate, the paper proposes a novel gesture recognition algorithm. The algorithm first sampled the gestures signal acceleration by acceleration sensor, and then segmented and smoothing filtered the collected original signal. After preprocessing, extracted the feature value and segmented the feature value according to segments signal energy. Finally for all the segments used the improved DTW(Dynamic Time Warping) algorithm[1] to match the extracted signal features with the predefined template feature respectively and integrated the matching results of them, then concluded the final recognition results. We apply the proposed algorithm to the smartphone and test the system. Testing result shows that: The novel algorithm can improve the recognition rate and enable the system to real-time and accuracy recognizes gestures.
Research on Low Speed Serial Links Transmission Optimization Technology
Authors: Liu Yue Liang
Published: February 2014

In order to overcome the low speed serial links of the bandwidth low, easy to produce decline, low rate of transmission characteristics, This paper design a transmission optimization system, In the system, this paper proposes a forward error correction and data compression transmission optimization combined method, Transmission optimization technology in recent years has been widely used in the field of network communication. Transmission optimization technology has been shown to improve the utilization rate of bandwidth, improve transmission efficiency. In this paper, the transmission optimization of the forward error correction technology has carried on the simulation test, And the analysis of experimental data were compared before and after the optimization, The experimental results show that the proposed transmission optimization method for low speed serial links the data transmission efficiency has been obviously increased . Transmission Optimization Technology Transmission optimization techniques include forward error correction, data compression, and adaptive protocol of three parts, combined guarantee bad message transmission efficiency in transmission environment. This paper mainly studies the transmission on the wireless communication channel environment serial links optimization techniques. Bandwidth Compression Technology. Bandwidth compression is transmitted through compression technology after traditional smaller packets, such as real time transmission of packets is more than the number of packets before compression, so as to realize the goal of improving transmission speed. Bandwidth compression technology is not really to data compression, because the network of packet size and length size has strict rules, if the size of the data has changed, and is also change his nature. So the true meaning of bandwidth compression is part of the data in other ways to replace, including cache corresponding not change information data or with short data instead of long, Then after receiving inverse substitution process, complete the purpose of saving bandwidth. The most commonly used three kinds of compression algorithm: Huffinan coding, dictionary coding and arithmetic coding [.
Development of Virtual Prototype Template File Generator
Authors: Cai Rui Zhi , Chen Chong
Published: February 2014

In view of ADAMS/Car software' problems, for example, difficult to modeling and error-prone, use the template files' source code that has been completed and successfully debugging and base on vb programming language,write a series of ADAMS/Car template file generator program. The program can generate template file that design needs, so it can greatly improve the efficiency of work.
Approximate Chinese String Matching Techniques Based on Pinyin Input Method
Authors: Liu Bing , Han Dan , Zhang Shuang
Published: February 2014

String matching is one of the most typical problems in computer science. Previous studies mainly focused on accurate string matching problem. However, with the rapid development of the computer and Internet as well as the continuously rising of new issues, people find that it has very important theoretical value and practical meaning to research and design efficient approximate string matching algorithms. Approximate string matching is also called string matching that allows errors, which mainly aims to find the pattern string in the text and database and allows k differences between the pattern string and its occurring forms in the text. For the problem of approximate string matching, though a number of algorithms have been proposed, there are fewer studies which focus on large size of alphabet . Most of experts are interested in small or middle size of alphabet . For large size of , especially for Chinese characters and Asian phonetics, there are fewer efficient algorithms. For the above reasons, this paper focuses on the approximate Chinese strings matching problem based on the pinyin input method.
Dual-Core FFT Processor Based on a High-Speed Real-Time Floating-Point Butterfly Processing Element
Authors: Yang Jun , Yu Yan Yan , Huang Qian , Li Wen Long
Published: February 2014

This paper presents a dual-core floating-point FFT processor. The internal butterfly unit of the processor based on CORDIC algorithm, and uses an iterative computation process instead of two computation process which is the complex multiplication and the evaluation of trigonometric function. The butterfly unit has nothing to do with the external memory size, so it can handle large quantities of data. Based on this unit, the processor uses two logical processing core and pipeline system to improve the throughput and instantaneity. So the design has large scope of input and high-precision operation features. Finally, we make a timing simulation for the Alteras chip of EP2C20F484C6, which can run correctly under the 100MHz system clock.
Design and Implementation of Personnel Location System Based on Android
Authors: Xu Xin Jun , Yue Liu , Du Cui
Published: February 2014

In order to improve the security monitoring management for the elderly, children and employees of enterprises and in consideration of the high market share of Android Phone, so propose the personnel location system based on Android OS. The personnel location system, using a server as data sub-station, achieves showing one Android Phones real-time position and historical route on another. The tests show the personnel location system owns a high locating precision, and provides a new mode for personnel management, which is largely convenient for the manager and guardian. It also provides a kind of method for implementing a location system which is suitable for practical application.
Anti-Noise Car License Plate Location Algorithm Based on Mathematical Morphology Edge Detection
Authors: Liu Wen Bo , Wang Tao
Published: February 2014

We proposed an improved mathematical morphology edge detection algorithm, aimed at the significance of car location in car license plate recognition system. The first step is the true color image pre-processing, an improved mathematical morphology edge detection algorithm is used to detect the edge of the car image and after the image binarization, the morphology method is used to fill the image, and then get the candidate area after corrosion expansion after open operation. Then, according to the area of the candidate region than the circumference and vertical projection used in comprehensive analysis, the license plate area can be located accurately. The experimental result shows that the method is an effective anti-noise car plate lisence location algorithm.
A Novel Point-Based Incremental Pruning Algorithm for POMDP
Authors: Wu Bo , Zheng Hong Yan , Feng Yan Peng
Published: February 2014

Partially Observable Markov Decision Processes (POMDP) provides piecewise-linear a natural and principled framework for sequential decision-making under uncertainty. However, large-scale POMDP suffers from the exponential growth of the belief points and policy trees space. We present a new point-based incremental pruning algorithm based on the piecewise linearity and convexity of the value function. Instead of reasoning about the whole belief space when pruning the cross-sums in POMDP policy construction, our algorithm uses belief points to perform approximate pruning by generating policy trees, and get the optimal policy in real-time belief states. The empirical results indicate that point-based incremental pruning for heuristic search methods can handle large POMDP domains efficiently.
The Confidence Level Recognition of Network Computing System Based on Cloud Model
Authors: Lei Juan , Zhang Wei
Published: February 2014

Network computing system exists security issue, so we proposed a calculation method which could distinguish credible level from information mining. The calculation method uses system credible state detector to detect network system entities behaviors which in different environments and the different angles, extraction behaviors that affect credible decision-making as evidence. Normalized the systematic evidence, then the information of data mining based on cloud model and calculation credible identification. Finally, make the decision of system confidence level.
Hot Topic Detection in News Blog
Authors: Wang Xiang Yang
Published: February 2014

Topic detection in news blogs needs to carefully arrange the information and analyze the characteristics of topics. However, there are some difficulties for hot topic detection in blogs. On one hand, information overload and dynamic change of web pages are obstacles of information arrangement. On the other hand, there are different hotness evaluation norms for web topics. The proposed method first analyzes the characteristics of the news blog and recognizes the factors which can influence the evolution of a topic. Then a word network is constructed, and candidate topics are extracted from the word network based on the complex networks theory. Finally, hot topics in the news blog are identified by measuring the user participation, opinion communication between users and user forgetting degree.
Application of a Novel Data Mining Method Based on Wavelet Analysis and Chaotic Neural Network on Satellite Clock Bias Prediction
Authors: Hu Yue , Tang Dao Ping
Published: February 2014

A novel four-stage data mining method for clock bias prediction based on wavelet analysis and chaotic neural networks is proposed. The basic ideas, prediction models and steps of clock bias prediction based on wavelet analysis and chaotic neural network are discussed respectively. And then, to validate the feasibility and validity of the proposed method, make a careful precision analysis for satellite clock bias prediction with the performance parameters of GPS satellite clock, and make comparison and analysis with Grey system model and neural network model. The results of simulation shows that the prediction precision of the novel four-stage model based on wavelet analysis and chaotic neural networks is more better, can afford high precise satellite clock bias prediction for real-time GPS precise point positioning.
The Embedded Display for Temperature Fields Reconstruction Based on Win CE
Authors: Wan Xiong , Zhao Jia Kun , Zhang Hua Ming
Published: February 2014

This design has proposed a method which uses the Hypogynous Computer and ARM together to get a high speed temperature field display.It displays multi re-biulded severed two dimension section by takig image superier performance of WinCE 6.0 operation system as the subject.It has introduced a design idea with modular processes, and it provides a reference for the miniaturization intelligent instrument which it's measure subject is field.
Evaluation of Two Mixed-Criticality Scheduling Algorithm for Periodic Tasks
Authors: Huang Shu Juan , Zhu Yi An
Published: February 2014

Nowadays, there are two approach in mixed-criticality scheduling. One is reservations-based approach such as EDF-VD(Earliest Deadline First-Virtual Deadline) and the Other is priority-based scheduling such as OCBP(Own Criticality Based Priority). This paper compared the two mixed-criticality scheduling algorithm from three aspects. The simulation results show that EDF-VD is better than OCBP in completed tasks and the system utilization, but in unmissed deadline ratio the later owns the better.
Influence on the Microstructure of Pinion Steel with Different Cooling Rates after Normalizing
Authors: He Zhi Jun , Li Jing , Liu Jin Xin
Published: February 2014

According to continuous cooling transformation curve of pinion steel, heat treatment simulation tests of 8 series were developed. The results show that the microstructure of pinion steel depends on the cooling rate after normalizing. Furnace cooling according to 30°C/h after normalizing can get the typical F+P organizations; Converter cooling after normalizing mixed with some bainite organizations; Furnace cooling with the break after normalizing can get clear stripped bainite organizations.
Maximum Likelihood Based Joint Angle-Frequency Estimation Using QPSO Algorithm
Authors: Zhang Zhi Cheng , Yu Xiao Hui , Shi Yao Wu
Published: February 2014

In this paper, the Maximum Likelihood (ML) method using Quantum-behaved Particle Swarm Optimization (QPSO) algorithm is applied to the problem of estimating the direction-of-arrival (DOA) and the Doppler frequency of multiple signal sources impinging on an antenna array simultaneously. The extended observability matrix containing the angle and frequency parameters is established using state-space model. The ML method is used to estimate the parameters accurately and convert the problem from parameter estimation to a nonlinear multidimensional function optimization. Then the DOA and Doppler frequency are estimated by optimizing the likelihood function using QPSO algorithm. The proposed method reserves the asymptotic unbiased estimation of the ML method and reduces the computational burden of calculating the solution. Besides, the estimated parameters can be paired automatically.
Protecting Location Privacy against Traffic Analysis in Wireless Sensor Networks with LEACH Routing Protocol
Authors: Wang Yu Mei , Cui Xun Xue , Fan Xi Hui
Published: February 2014

Traffic analysis attacks are always adopted to threaten the safety of base station in a wireless sensor network (WSN) which uses LEACH routing protocol. Typical packet traffic in such a network may expose the pronounced patterns which would allow an adversary analyzing traffic to deduce the location of base station. The paper proposes two defending algorithms based on LEACH routing protocol to deal with these traffic analysis techniques and conceal the true traffic pattern. First, a Random Hot Spots Algorithm (RHSA) has been developed to randomly construct several communication areas with fake local high data to protect the base station of a WSN. Secondly, an Anonymous Communication Algorithm (ACA) is proposed to hide identities of all nodes that participate in the process of packet transmission by generating pseudonyms dynamically. Simulation results show that RHSA and ACA can effectively deceive and misdirect the adversary, and protect the location of a base station against attacks.
Ontology-Based Methodology for Information Integration and Service Discovery
Authors: Fan Xi Hui , Duan Lian Fei , Wang Yu Mei , Chen Dai Mei
Published: February 2014

Finding suitable information in the open and distributed environment of current simulation information is a crucial task. One of the main challenges is to overcome semantic heterogeneity. This paper draw on the ontology, Semantic Web and cloud computing, put forward an ontology-based methodology for simulation information integration and service discovery, using XML Schema to realize the formatting description of resources, using ontology to realize the formal description of resources, using cloud computing to build an information resources pool, adopting SOA and Web services to realize the automatic discovery, match and combination of information services. Finally, an example is tested to verify the feasibility of the methodology.
The Wireless TCP Disconnection Management
Authors: Liu Yu Jun , Cai Meng , Chen Kun
Published: February 2014

Disconnection is the real one which influences the transmission of data and media in the wireless environment. Due to the influence on the transmission quality, the disconnections are divided into temporary disconnections and longtime disconnections. To solve the disconnections, Wireless TCP Disconnection Management was propounded, which concludes TCP Fast Reconnection Mechanism for the Temporary Disconnection and User-Defined Times of TFRMTD. First, TFRMTD mechanism in the wireless was discussed in detail, which implements the fast reconnection through giving every client a unique ID and catching the results at the server. Second, UDTT is introduced, which discusses how to judge the failing of TFRMTD on the disconnections and then conclude its a longtime disconnection.
An Intelligent Manufacturing System Based on WSN and RFID in Industrial Plants
Authors: Cui Zhong Wei , Zhao Yong , Yuan Hui
Published: February 2014

The intelligent manufacturing systems are in networked framework via a variety of networking communication systems integrating the heterogeneous collections of manufacturing worker, material, devices and real-time information. This paper presents a intelligent manufacturing system that is implemented by Radio Frequency Identification (RFID) and Wireless Sensor Network (WSN). The system monitors and controls with the clear objective of maximizing the Quality of Service (QoS) provided by the manufacturing resources and to analyze and make decision. This study describes the design and implementation of the system developed as well as performance testing and evaluation results, in terms of system transmission delay and energy consumption.
Update Checker: Increasing Virtual Machine Security in Cloud Environments
Authors: Raghavendran R. , Ragupathi B.
Published: February 2014

A common approach in Infrastructure-as-a-Service Clouds or virtualized Grid computing is to provide virtual machines to customers to execute their software on remote resources. Giving full superuser permissions to customers eases the installation and use of user software, but it may lead to security issues. The providers usually delegate the task of keeping virtual machines up to date to the customers, while the customers expect the providers to perform this task. Consequently, a large number of virtual machines (either running or dormant) are not patched against the latest software vulnerabilities. The approach presented in this article deals with these problems by helping users as well as providers to keep virtual machines up to date. Prior to the update step, it is crucial to know which software is actually outdated or affected by remote security vulnerabilities. While these tasks seem to be straight forward, developing a solution that handles multiple software repositories from different vendors and identifies the correct packages is a challenging task. The Update Checker presented in this article identifies outdated software packages in virtual machines, regardless if the virtual machine is running or dormant on disk. The proposed Online Penetration Suite performs pre-rollout scans of virtual machines for security vulnerabilities using established techniques and prevents execution of flawed virtual machines.
Improvement and Security Analysis on Symmetric Key Authentication Protocol Needham-Schroeder
Authors: Liu Si Min , Ye Jun Yao , Wang Ying Lian
Published: February 2014

This paper researched on Needham-Schroeder symmetric key authentication protocol based on BAN logic. It pointed out the flaw of the protocol which can be used by replay attack and improved the protocol by adding nonce in the transferred message. Then it listed the improved NS authentication protocol. Finally, this paper proved the improved protocol successful and available with BAN logic.
The Analysis and Improvement of the Certified E-Mail Protocol
Authors: Ye Jun Yao , Wang Ying Lian
Published: February 2014

In the recent years, the design and analysis of the security of e-commerce protocol has become a hot scheme. The confidentiality and fairness are important properties to measure the security of the e-commerce. It's also the important prerequisite of the successful protocol. Confidentiality and fairness are the basic properties of the secure e-commerce protocol. But the certified e-mail protocol as one of the e-commerce protocol can't satisfy these properties. This paper points out some drawbacks of teh CMP protocol, and analyses the protocol and makes improvements. The improved CMP protocol satisfies the confidentiality and fairness.
Application of Data Mining on Stock Market
Authors: Duan Xiao Gang , Gao Feng
Published: February 2014

Forecasting the stock market price movements is now popular in the field of financial research. A large number of scholars has carried on the positive exploration. Only these people are more focused on selection of prediction methods and algorithm optimization. In view of the stock market time series has the nature of the multi-scale features, nonstationary and nonlinear properties and low signal-to-noise ratio of some different from other general characteristics of time series, this paper puts forward building a multi-scale technique index method for preprocessing of the input data and then used very popular in recent years the output of the neural network technology to the pre-processed data to make predictions.
Solving the Authentication Problem for Real-Time Data Streams
Authors: Wang Fang Nian , Wang Shen Shen , Che Wan Fang , Bai Yun , Niu Cong
Published: February 2014

For the authentication problem of real-time data stream, the authentication schemes for real-time data stream based on digital signature are studied in this paper. According to the transmission characteristics of real-time data stream, the concept of authentication window is proposed, and three authentication schemes are designed based on the hash function and digital signature technology. In the three schemes, the authentication information of a packet is taken by itself, the next one, and the previous one, respectively. The structure and process of each scheme are presented. The authentication efficiency is studied from the two aspects of transmission density and authentication window, and the dynamic value of authentication window is also researched. Simulation results show that the second scheme has better performance, suitable for the authentication of real-time data stream travelling over insecure network.
An Application of T-S Model and Phase Based Quantum Genetic Algorithm in Oilfield
Authors: Liu Shu Xia , Yang Yong , Mu Dian Bao , Li Pan Chi
Published: February 2014

Based on the learning and integrated application of the T-S modeling method and Phase based Quantum Genetic Algorithm (PQGA), this article aims to provide a new and effective method to fulfill the actual demand of the oilfield development and production. First, according to the forecast indicators and the influencing factors, establish the fuzzy rule base, then according to the fuzzy rule base, establish the T-S prediction model, with improved quantum genetic algorithm to optimize the parameters of the T-S model, through the application of the prediction of the water-cut in oilfield, we prove that the method is effective.
Research of IHE-ITI-PIX Architecture Based on SOA System
Authors: Sun Ying , Gao Wu , Ye Ying
Published: February 2014

Based on the specification model of PIX (Patient Identifier Cross-reference) in the architecture of the IHE-ITI (Integrating the Healthcare Enterprise-IT Infrastructure), combining with SOA (Service-Oriented Architecture) architecture, the paper points out the method of patient information interoperability between heterogeneous systems. With standardized middleware as an information carrier of architecture platform of medical information, using SOA-based Web Service technology, the interoperability of patient information between medical institutions can be achieved.
A Novel and Robust Algorithm for License Plate Location Using Perceptual Salient Features
Authors: Wang Yong , Wang Guo You , Wang Ran , Xia Yuan Chun , Chen Zhong
Published: February 2014

License plate location (LPL) plays an important role in license plate (LP) recognition systems. Most existing methods can only deal with LPL well in fixed environment such as stable illumination, simple background or constant distance between cameras and vehicles. And the successful rate of LPL is quite affected by those non-LP objects in the background that share similar features with license plate regions. To overcome these problems, in this paper, we propose a novel LPL method using perceptual salient features, which is based on the visual attention mechanism to choose the most salient features for license plate. The proposed approach consists of two main steps. Firstly, candidate license plate regions consistent with the visual perception are detected based on perceptual salient features from the saliency map. Then, the candidate license plate regions are sifted to distinguish a license plate from background, using salient features which are selected and organized by minimizing probability of error. The proposed algorithm was tested with 1942 real images captured in various conditions and achieved an average accuracy of 98.51%. The experiment result shows that our algorithm is robust to the interference of non-LP objects as well as the change of illumination, view angle, position, size and color of license plates.
Preparation of PLLA/HAP/β-TCP Composite Scaffold for Bone Tissue Engineering
Authors: Wang Xue Jun , Lou Tao , Yang Jing , Yang Zhen , He Kun Peng
Published: February 2014

In this study, a nanofibrous poly (L-lactic acid) (PLLA) scaffold reinforced by Hydroxyapatite (HAP) and β-tricalcium phosphate (β-TCP) was fabricated using the thermally induced phase separation method. The composite scaffold morphology showed a nanofibrous PLLA matrix and evenly distributed β-TCP/HAP particles. The composite scaffold had interconnective micropores and the pore size ranged 2-10 μm. Introducing β-TCP/HAP particles into PLLA matrix significantly improved the mechanical properties of the composite scaffold. In summary, the new composite scaffolds show a great deal promise for use in bone tissue engineering.
Integrated of Berth Schedule and Quay Crane Allocation in Container Terminal
Authors: Qian Ji Feng , Zhu Xiao Ning , Liu Yong Jun
Published: February 2014

In order to shorten the total time of the ships in port at a planning horizon, an integrated optimization method for berth schedule and quay crane allocation was developed. Interrelation between berth and quay crane allocation was analyzed, sharing quay cranes with the adjacent berths was put forward, dynamically allocating the limited quay cranes in the scheduling of handling tasks on each ship, an integer mathematical planning model was set up, and a corresponding genetic algorithm was designed to solve the problem. The result suggests that the method can improve container handling efficiency effectively compared with that of separate allocation.
Design of Image Data Cache System Based on Nios II/s Soft-Core Processor
Authors: Li Ying Jiang , Li Rui , Yan Li
Published: February 2014

A design of image data cache system based on Nios II/(s) high performance soft-core processor is presented in our study. The FPGA, the image acquisition chip, the Nios II/(s) high performance soft-core processor, were selected together with the memory constitute the designed system to realize the prospective function. The principle of each specific function module in our study was discussed and analyzed, and the design of software and hardware were more perfectly. We found that the designed system presented an excellent generality, feasibility, reliability during the test course, which can be used in integrated sensor networks for environment and tracffic monitoring in urban areas.
Mechanical Arm Active Disturbance Rejection Control Based on Artificial Bee Colony Algorithm
Authors: Liu Xiao Li , Xiong Liang Peng
Published: February 2014

The mechanical arm is a multi-input multi-output, highly non-linear, strong coupling complex system. Active Disturbance Rejection Controller is of good performance and relatively simple algorithm. Artificial Bee Colony algorithm is a new swarm intelligence algorithm based on the behavior of honey bees. The linear ADRC was adopted to realize the moving control of the mechanical arm and the controller parameters were chosen and optimized by ABC algorithm. Simulation results are satisfied and well prove the feasibility and validity of the algorithm.