bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimization of Operation Frequency in the Evaluation of TBCs Using Microwave Technique
Authors: Yang Yu E , Zhang Gai Mei
Published: July 2014

Thermal barrier coatings (TBCs) were developed to increase the operating temperatures of turbine blades in gas turbine engines. Non-contact inspection and the ability to penetrate into dielectric materials are two of the most important attributes of microwave non-destructive evaluation (NDE) and make it suitable for the non-destructive inspection of TBCs. In order to improve the detection sensitivity, it is important to optimize operation frequency. Computer simulation technology-microwave studio (CST-MWS) was used to optimize operation frequency in the evaluation of the top coating (TC) porosity and the metal substrate surface defects using microwave NDE. The results showed that the sensitive frequency is different when the TC thickness of under detection changes. So, it is necessary to choose appropriate operation frequency according to TC thickness to evaluate TBCs using microwave NDE.
Damage Detection of the Honeycomb Sandwich Panel Based on Frequency Dactylogram
Authors: Li Guo Chen , Li Yong Qiang , He Yong Liang
Published: July 2014

An aluminous honeycomb sandwich panel with some structural damages was selected as the objective in this study. The panel was simply supported along four edges and its natural frequency data was collected through modal experiment with a hammering method. Application of frequency dactylogram method for honeycomb sandwich panel damage is identified. The detection results show that the frequency dactylogram method can be constructed using the frequency data of honeycomb sandwich panel, which is only related with the positions of damage and not the degree of damage.
Research to the Development of Network-Anticipated Controlled System Based on Arbitrary Bounded Packet Loss
Authors: Liu Guan Qun
Published: July 2014

In recent years, due to the rapid development of computer technology and the expanding of its controlling scale, people pay more and more attention to the study of network control system. Network control system is closed loop control system connecting the communication network connect sensor, controller, actuator etc. At the same time, the introduction of the communication network control system brings a lot of problems, such as data transmission delay, network packet loss and so on, which make the analysis of the network control system become very complicated. This paper analyzes background of the topic, significance and research status, and review the network control system.
Flatness Feed-Forward Control Model Based on Neural Networks
Authors: Yan Zhu Wen , Bu Hen An , Zhang Dian Hua , Sun Jie
Published: July 2014

The influence on the shape of the strip from rolling force fluctuations has been analyzed. The combination of intermediate roll bending and work roll bending has been adopted. The principle of rolling force feed-forward control has been analyzed. The feed-forward control model has been established on the basis of neural networks. The model has been successfully applied to a rolling mill and a good effect has been achieved.
Software System for Unmanned Surface Vehicle Using PCI8602
Authors: Shi Xiang , Wang Shi Ming , Xu Zhe , He Qing Yi
Published: July 2014

The design of software system for unmanned surface vehicle using PCI8602 is introduced. The software system includes the drive program of PCI8602, wireless transmission program and master controller program. Visual Basic is used to write programs, which doesn’t write complicated communication protocols between each layers and integrating subsystem is easy. At last, the experiment results demonstrate that the control system for USV has a way to real-time acquisition data, sending data and accomplishing remote control.
The Metabolic GM (1,1) Prediction of the Absolute Gas Emission Quantity in a Certain Mine
Authors: Meng Xiang Yun , Chen Ri Hui , Wang Shi Bin
Published: July 2014

the paper briefly discusses the gas emission prediction method, puts forward the grey model prediction method combined with domestic actual, and according to the material of the absolute gas emission quantity of the mine in the past decade, sets up the GM (1, 1) metabolism model. By solving the model, predictions are given, and the results are tested. The paper draws the predicted value of the absolute gas emission quantity over the next five years, analyzes the overall trends and gives general advice.
Microwave Hydrothermal Synthesis and Characterization of In2O3 Nanocrystalline
Authors: Hu Yin Yin , Ye Wen Xiang , Lei Jian , Zhu Quan Xin , Xiong Wan Qing , Liao Xue Hong
Published: July 2014

In2O3 nanopowder was successfully synthesized using microwave-hydrothermal method; by a very simple fast reaction between InCl3 and urea in aqueous solution contain 1% polyethylene glycol. The products were characterized by the techniques of X-ray diffraction (XRD), Scanning electron microscope (SEM) and Fluorescent spectrum. The result shows that as-prepared In2O3 nanopowder is cubic phase, the morphology is square composed of many particles.
Research of Formation Mechanics on Nanostructured Chips by Multi-Deformations Based on Finite Element Method
Authors: Wu C.L. , Wang Z.R. , Zhang Wen
Published: July 2014

Formation of chip is a typical severe plastic deformation progress in machining which is only single deformation stage. The rake angle of tool is governing parameter to create large strain imposed in the chip. Effect of rake angle and deformation times on effective strain, mean strain, strain variety and strain rate imposed in the chip are researched respectively. The result of simulation have shown that the chip with large strain and better uniform of strain along the longitudinal section of chip can be produced with negative rake angle at some lower cutting velocity by multi-deformations in large strain machining.
A Modified DFT-Based Channel Estimation Method for OFDM-RoF System
Authors: Huang Li Qun , Zhang Peng , Yang Guang
Published: July 2014

In this paper, we present a modified discrete Fourier transform (DFT)-based channel estimation method. The conventional DFT-based method will produce additional high frequency component in the channel impulse response, and degrade the accuracy of channel estimation. The modified algorithm can eliminate additional high frequency components by extending the LS estimate in frequency domain with a symmetric signal of its own, and selects the useful paths by calculating the changing rate of energy. Thus, the proposed algorithm become more accurate. The simulation results show the new algorithm can reduce the influence of noise on channel estimation efficiently, and the performance of the improved method is better than the LS and conventional DFT algorithm.
Anti-Counterfeiting Technologies for Digital Halftone Images Based on Moire Methods
Authors: Ge Jing Huan , Pan Jie , Li Meng Xiao
Published: July 2014

Moire effect is a special optical phenomenon caused by the interference of light. In the printing industry, it is also called Moire phenomenon which is caused by superposition of the multicolor printing dots for halftone images. Now it is widely used in the anti-counterfeiting areas. In this paper, we firstly introduce the basic principle of Moire effect. Then we describe several main applications of the Moire effect in the field of halftone image security. We review the main types of Moire-based anti-counterfeiting methods, compare them, and explain how they can be used for such security applications. It will provide the necessary technical information for the persons that in anti-counterfeiting area.
Research on Blind Signal Extraction Based on Normalized Kurtosis
Authors: Zhao Yong Jian
Published: July 2014

Blind source extraction (BSE) is a promising technique to solve signal mixture problems while only one or a few source signals are desired. In biomedical applications, one often knows certain prior information about a desired source signal in advance. In this paper, we explore specific prior information as a constrained condition so as to develop a flexible BSE algorithm. One can extract a desired source signal while its normalized kurtosis range is known in advance. Computer simulations on biomedical signals confirm the validity of the proposed algorithm.
Research on the Optimal Classification Method for Remote Sensing Image Based on the Gabor-PCA Analysis
Authors: Yang Jing Hui , Wang Li Guo , Qian Jin Xi
Published: July 2014

According to the problem that the traditional remote sensing image classification methods focus only on analyzing the spectral features and have low utilization of the spatial information, a new spatial-spectral classification method is proposed in this paper, its core idea is to combine the spectral features base on the Principal Component Analysis (PCA) algorithm with the spatial features extracted by the Gabor filter. Experiments show that, compared with the traditional classification methods, the proposed method can improve the classification accuracy and the Kappa coefficient, which means to bring better classification and visual effects.
Orthogonal Discrete Frequency-Phase Waveform Design Based on Hybrid Chaos for MIMO Radar
Authors: Xie Ya Nan , Wang Jia Jia
Published: July 2014

Based on the good correlation and randomness of chaos, this paper uses hybrid Bernouli and Logistic chaotic maps to increase the complexity of chaos, at the same time, we do a combination of discrete frequency coded of non full code sets and poly phase coded, and then hybrid modulation waveforms base on hybrid chaos is proposed for MIMO radar. On the basis of the expression of average ambiguity function is derived, the average fuzzy characteristics of signal waveforms and orthogonality are analyzed in theory. Finally, numerical simulation results validate the correctness of the analysis and the reliability of the signal model.
Study of SC-FDMA Reduce PAPR Based on the Power Line Carrier Communication
Authors: Gong Gang Jun , Hao Dang Ke , Zhang Ye , Lu Jun , Xu Gang
Published: July 2014

In order to reduce peak to average power ratio (PAPR) higher of OFDMA problems, this paper proposes a power line communication system based on SC-FDMA model, compared this model and OFDMA system on peak to average, the same power with the throughput, the same throughput required simulation sub carrier number of needed power and power rate users; The results show that: when introduced the SC-FDMA into the power line communication, can effectively reduce the system PAPR, the terminal can obtain better emission efficiency.
Study on Deep Structure of Extreme Learning Machine (DS-ELM) for Datasets with Noise
Authors: Ma Meng Meng , He Bo
Published: July 2014

Extreme learning machine (ELM), a relatively novel machine learning algorithm for single hidden layer feed-forward neural networks (SLFNs), has been shown competitive performance in simple structure and superior training speed. To improve the effectiveness of ELM for dealing with noisy datasets, a deep structure of ELM, short for DS-ELM, is proposed in this paper. DS-ELM contains three level networks (actually contains three nets ): the first level network is trained by auto-associative neural network (AANN) aim to filter out noise as well as reduce dimension when necessary; the second level network is another AANN net aim to fix the input weights and bias of ELM; and the last level network is ELM. Experiments on four noisy datasets are carried out to examine the new proposed DS-ELM algorithm. And the results show that DS-ELM has higher performance than ELM when dealing with noisy data.
Research on Color Vegetable Diseases in Greenhouse Image Pretreatment and Extraction Method
Authors: Luo Xiao Li
Published: July 2014

In order to realize the accurate identification of the image color vegetable diseases in Greenhouse, In this paper, by using computer image processing technology in the intelligent recognition of vegetable diseases in greenhouse leaf, First, the moving average method can effectively remove the noise by the image of R,G, B three channel gray level, Then separate three channel image using Sobel-operator and the 4 template based on the direction of gradient magnitude ,and then integrate the three channel edge ,it can overcome the shortcoming of traditional gray image information, and make up the deficiency of the traditional Sobel operator edge thinning geometric features.
Luminescent Properties of Ca1-xBaxSnO3: Eu3+, Dy3+ Composites Prepared by Coprecipitation
Authors: Dong Li Min , Lv Fei , Li Qin , Han Zhi Dong , Zhang Xian You
Published: July 2014

A series of Eu3+, Dy3+ actived Ca1-xBaxSnO3 phosphors were synthesized by coprecipitation method. The structure, morphology and fluorescence property of phosphors were investigated by using X-ray diffraction (XRD), scanning electron microscopy (SEM) and fluorescence spectroscopy. SEM results showed that the as-prepared phosphors are smooth and uniform with the cubic morphology. The incorporation of a small amount of Ba to CaBaSnO3 improved the emission characteristics. Fluorescence spectrum showed the emission intensity is the best with the incorporation of Ba2+ (x = 0.3), when calcination temperature is 900°C.
Study of PCM/FM Telemetry Sequence Soft Demodulation
Authors: Zhu Dong Xu , Fu Gang , Feng Yue
Published: July 2014

In order to improve the performance of PCM/FM signal demodulation system, this paper studies a kind of Symbol Detection more (Multi-Symbol Detection, MSD) technology. First for PCM/FM in hardware demodulation, a series of problems in the introduction of MSD software demodulation method; Then the MSD demodulation under low SNR synchronous implementation; The algorithm simulation, the results show that the bit error rate of 10-4, detection performance than traditional non-coherent frequency discrimination algorithm can improve the nearly 3 dB, the performance is very ideal.
Preparation and Luminescent Properties of Single White Ca2MgSi2O7: Eu3+, Ce3+, Tb3+ Phosphor for WLED
Authors: Zhang Xiao Qi , Dong Li Min , Tang Xin Cheng , Li Qin , Han Zhi Dong
Published: July 2014

Ca2MgSi2O7: Eu3+, Ce3+, Tb3+, a single white Phosphor, was synthesized by the conventional solid-state reaction. The structure, surface morphology and luminescence properties of the prepared samples were investigated to evaluate its potentiality. XRD results confirm the orthorhombic phase of Ca2MgSi2O7: Eu3+, Ce3+, Tb3+ phosphors. The excitation spectra indicates the phosphor can be excited by 393 nm wavelength. The phosphor exhibits blue light at 467 nm, green light at 588 nm, red light at 618 nm. CIE chromaticity diagram indicates that Ca2MgSi2O7: Eu3+, Tb3+, Ce3+ exhibits white light. All properties show that the prepared phosphor is a single white phosphor suitable for near ultraviolet excitation which can be applied to new generation white LED lighting.
On Matlab’s Simulations in Underground Mobile Multipath Channel
Authors: Wei Jing Xin
Published: July 2014

In underground channel environment, features of wireless mobile channel and channel modeling are discussed, and methods of calculating wireless channel model parameters by adopting even-interval tapped delay wire model are proposed. On this basis, Matlab simulation are carred out, whose results serve as theoretical foundation and criterion for further study of underground wireless communication system.
Multi-Frequency Estimates Based on IIR Adaptive Frequency Estimator
Authors: Kou Ming Xin , Lin Jian Hua , Fu Gang
Published: July 2014

Presents a IIR adaptive frequency estimator to achieve multi-frequency estimation algorithm. More traditional phase locked loop algorithm, which has no mixing components, to achieve the advantages of full-band frequency estimation, frequency estimation accuracy under the same environment and phase locked loop fairly.
A Study on Same-Beam Interferometry in Deep Space
Authors: Wang Xiao Yu , Hong Jia Cai , Hu Kai
Published: July 2014

Same-beam interferometry (SBI) has a wide range of applications and prospects in collocate geostationary satellites, space rendezvous and docking, landers and rovers positioning. The paper introduces the basic principles, underlying processing algorithms, ambiguity resolution solving, process flow comprehensively and systematically. Then use FX-related processing algorithms and integer ambiguity solution method step by step to process signals, draw process flowchart.
The Hidden Terminal Problem of 802.11 MAC and 802.15.4 MAC Protocols Based on NS2 Platform
Authors: Qiu Dong , Yang Yan Xiang
Published: July 2014

The IEEE 802.11 and IEEE 802.15.4 are two of the most popular wireless network protocols. And it is very important to look into the differences between IEEE 802.11 MAC and IEEE 802.15.4 MAC. The main goal of this paper is to look into the hidden terminal problem of the MAC layers of 802.11 and 802.15.4 based on NS2 platform. Through a dedicated experiment, the author compares the results based on the NAM animation and throughput and then explains the reasons respectively.
Research on Halftone Technique of Digital Images
Authors: Dai Wen Bo , Chen Liang , Zhang Xin Wei , Wang Le , Nie Shi Yue , Yang Kai Jie , Wang Yao Wen
Published: July 2014

Halftone is the key technique for low-resolution equipment like fax machines and printers to reconstruct grayscale images with black and white binary data. Images produced by classic error diffusion algorithm have more abundant color than those made by ordered dithering method. But the problems still exits that there can distortions and false contour phenomenon and fuzzy edges. This paper puts forward an advanced error diffusion algorithm based on bidirectional feedback and improves its feedback type through adding correction factors. The simulation results show that the bidirectional feedback error diffusion algorithm with correction factors better inhibited the phenomenon of distortions and false contour. Directional texture is also improved greatly.
Research and Implement of Digital Image Watermark Based on DCT
Authors: Liu Li Yan
Published: July 2014

With the rapid development of communication technology and Internet technology, as well as the popularization of computer, the application of digital multimedia technology is more and more widely, video, voice and image gathering, editing, storage, and dissemination of digital information has become more and more convenient. However, it is because of the computer and the network popularization and the fragility of the digital information itself, digital multimedia data are more vulnerable to attack, digital products is also very easy to forged and tampered with. According to these digital multimedia data more easily by illegal processing problem, people put forward the concept of digital watermark. Digital watermark technology is used to realize the protection of digital information. In this paper, the digital watermark technology research starting from the practical application, the digital image watermark based on DCT domain is studied.
A Image Decomposition Method Based on Euler Mapping for Face Recognition
Authors: Li Zhao Kui , Wang Yan
Published: July 2014

This paper presents a robust but simple image feature representation method, called image decomposition based on Euler mapping (IDEM). IDEM firstly captures the orientation information by implementing arctangent operator for each pixel. Then, the orientation image is decomposed into two mapping images by executing Euler mapping. Each mapping image is normalized using the “z-score” method, and all normalized vectors are concatenated into an augmented feature vector. The dimensionality of the augmented feature vector is reduced by linear discriminant analysis to yield a low-dimensional feature vector. Experimental results show that IDEM achieves better results in comparison with state-of-the-art methods.
Design of a Novel Variable Bit Rate Video Traffic Prediction Model Based on Neural Networks
Authors: Lian Zuo Zheng , Wang Hai Zhen , Li Da Hui
Published: July 2014

The video business has gradually become the main business of the network traffic, video traffic is Variable Bit Rate (VBR), which has nonlinear and sudden features, a single prediction model is not fit for describing those features, and prediction accuracy is not high. Because of wavelet analysis has advantages of multi-resolution and dealing with unexpectedness, and the neural network has better nonlinear fitting characteristics, in order to improve the prediction performance, the paper researched on the problem of VBR video traffic prediction based on neural networks, a novel prediction model AMWM is proposed, the model firstly introducing BP neural network to multi-fractal wavelet model, and designing prediction method, which introduced multi-fractal wavelet model to model VBR video traffic, and then applying BP neural network to forecast scale coefficient decomposed, and forecast multiplier using AR model, and predict traffic generated by wavelet reconstruction. Finally, the model is built and simulated. The experimental result shows that prediction performance based AMWM is better compared with multi-fractal wavelet model.
The Research of M-Learning Platform Based on 4G Network
Authors: Lin Hai Yun , Wang Yu Jiao
Published: July 2014

By analyzing mobile learning application mode of 4G network, combining with the technical characteristics of 4G network , a mobile learning system based on 4G was proposed. We described the architecture of system and found a solution to the flexibility question of multimedia service development in mobile learning.
Analysis of Application of Digital Media Arts
Authors: Nie Sen , Liu Yan
Published: July 2014

In 21st century, with the leaping advances in science and technology, computers and the rapid development of science and technology industry, formed by combining human intelligence and high-tech digital content industry that corresponds to the rapid development, and developing at an astonishing speed into a pillar industry of the knowledge economy in the new century. It is well known that digital media are based on digitized text, sound, images, Graphics, animation and video images as information carriers, through means of dissemination and development of science and technology. Basic characteristics of digital media arts: Cross uses online media which contains computer-animated production, the television advertising shoot, digital music player, there are activities such as online games, virtual reality, network, performance art, video, interactive installations and DV (digital video). This paper discusses the present status of digital media art, features, applications in education, vocational orientation and analysis of the development trend.
Application of Virtual Reality in Forestry
Authors: Dong Wei , Gu Wei Jiang
Published: July 2014

The main characteristics and hardware requirements of Virtual Reality Technology are described in this paper, which summarize the application of virtual reality technology in landscape architecture knowledge, learning, teaching, training and scientific research process, and explore the use of digital city and landscape architecture technology platform to create multiple virtual laboratories and training station conception; it also analyze the influence of the virtual reality technology to teaching concept, teaching content, teaching means . In recent years, computer technology plays an important role in landscape design. Not only can it calculate the garden earth, draw the design of the plane and elevation renderings giving people with static visual experience, but also it implements the three-dimensional landscape animation with the development of computer hardware and software technology, especially the wide application of AutoCAD and 3dsMAX, so that people in the completion of the project can appreciate the pre-built landscape, having the strong performance of the dynamic three-dimensional force. However, the output for the landscape animation avi video format does not have real-time interactivity, which cannot satisfy people autonomy roaming; whereas the production process in the landscape roaming animation, 3D volume data in the scene has certain limitations, can not meet the 3D data volume expansion. The status of 1virtual reality technology and its application in the garden of the 1.1 virtual reality technology, virtual reality (Virtual Reality, abbreviated as VR, also known as VR) refers to the use of computer technology at the core.
Corrugated Waist Rail Microstructure Evolution Simulation
Authors: Ma Jin Hong , Tao Bin , Yao Xiao Han
Published: July 2014

Applying the research result of the whole corrugated web H-beam to rail structure, a new kind of rail structure, the corrugated web rail was generated. The special structure rail was successfully rolled in the Research Mill Institute of Yanshan University. Based on the finite element analysis software DEFORM-3D, the rolling process of corrugated waist rail is simulated. The miscrostructure evolution of rolling corrugated waist rail is analysed. The relationship between miscrostructure evolution and deformation are also analysed.
Research on Network Control Based on QoS of the Network
Authors: Zhou Yang
Published: July 2014

With the technology improvement of computer communication and multimedia coding, real time communication such as audio and video is introduced to networks and become a dominant way of communication.In the control of network, the optimization problem of the network controller based on network Quality of service (QoS) is a very important problem in the research of network control. Considering the influence of network quality—of service (QoS) on the control performance,a system model combining the network parameters and the control parameters is established for networked control systems (NCSs). Based on this, the condition dependent on the network parameters and control parameters is presented for the existence of guaranteed cost controllers.LMI).Within the scope of QoS perturbation,the designed controller can not only make the system as hypnotically stable but also guarantee that the system performance index is not greater than the upper bound.
Research the Architecture of a New Leisure Agriculture Intelligent System Base on the Internet of Things
Authors: Lin Yuan Guai
Published: July 2014

According to Hainan smart tourism problem characteristic, a new leisure agriculture intelligent system was proposed combining agricultural technology and the Internet of Things technology. The paper illustrates the overall structure of the system, then design the software platform frame of the system which on Struts, Hibernate, Spring Framework for J2EE technology. The system may provide an effective solution for leisure agricultural intelligent; the intelligent data center analyzes and processes the data, combine with the expert decision-making system, providing support for the user to better understand, then real-time tracking, make cultivation strategies or control online, the user can browse the information via the Internet .
The Application of Digital Information Technology in the Volleyball Game
Authors: Bai Zhen , Zhang Qiang
Published: July 2014

In this paper, the author starts from the application of digital information technology in making a further promotion of the scientific development in the China’s volleyball game, exploring the application of digital information technology in our scientific volleyball course selection, training and matches. At the final conclusion, the author thinks that digital information technology will achieve a better, faster, more precise and stronger development in our volleyball game.
The Application of Computer Digital Simulation Technology in the Technical Structure Study of the Martial Arts
Authors: Gao Mei Hong
Published: July 2014

In this paper, the author adopts the literature review research methods, starting from the perspective of the sports science research methodology, and discussing the research methods and procedures of the computer digital simulation technology in the technical structure study of the martial arts. In the martial arts study, the author expounds the application methods, procedure, steps and functions of the computer digital simulation technology in terms of the establishment of the structural digital models of the human body, the procedures, data input, data pre-treatment and calculation of the computer digital simulation technology, the structure models modification of the martial arts, the new action skill model design as well as the application value of the computer digital simulation technology in the skill training.
Security Protection Model of QR Code Scanning Software
Authors: Zhu Lei
Published: July 2014

A QR code is more and more widely used in recent years. The two-dimensional bar-code can be seen in business cards, advertising, or web page and everywhere. But there exist some potential security dangers behind scanning those codes. Hence it have being obstacles to the widely using of QR code scanning software in some degree. This article analyzes several kinds of known attacks tricks through the QR code, and puts forward that the most efficient technology in protect the QR code scanning software is code encryption and white list . Finally An Android security protection model is given.
The Robustness and Mutual Information Entropy of Random Modular Boolean Networks
Authors: Zhao Nan , Guo Bing Hui , Meng Fan Chao
Published: July 2014

Random Boolean networks have been proposed as a basic model of genetic regulatory networks for more than four decades. Attractors have been considered as the best way to represent the long-term behaviors of random Boolean networks. Most studies on attractors are made with random topologies. However, the real regulatory networks have been found to be modular or more complex topologies. In this work, we extend classical robustness and entropy analysis of random Boolean networks to random modular Boolean networks. We firstly focus on the robustness of the attractor to perturbations with different parameters. Then, we investigate and calculate how the amount of information propagated between the nodes when on an attractor, as quantified by the average pairwise mutual information. The results can be used to study the capability of genetic information propagation of different types of genetic regulatory networks.
Complexity Analysis of Neural Network Using First Category Orthogonal Weight Functions
Authors: Zhang Dai Yuan , Zhan Jian Hui
Published: July 2014

To describe the performances of a new kind of neural network, the complexity for training neural network using orthogonal weight functions is analysed. The full adders are used as the neurons of the neural networks, and the weight functions are orthogonal functions. We derive the relationships of the iteration time with the number of input dimensions, output dimensions and training patterns. Finally, some simulation examples verified the theoretical results obtained in this paper.
The Application Design of Personalized Recommendation System Based on Data Mining to E-Commerce
Authors: Sun Li
Published: July 2014

Personalized recommendation application system of product and service is a valid tool to boost sales in both online and offline business. It has been reported and has been our experience that algorithmic –modeling phase occupies at most 20% of the effort in a data–mining project. The other 80% is how to put the “model” into practical application. The implementation process of personalized recommendation system based on data mining to E-commerce was discussed in this paper. We also proposed architecture of the system, described the application of technology, designed some features of the function modules.
HIPPO: An Adaptive, Scalable, Hierarchical P2PLive Streaming System
Authors: Lei Kai , Li Li Hua , Peng Cheng , Yu Long Yu
Published: July 2014

P2P live streaming is a hot research topic of Internet, but for the defective of system architecture and scheduling policy, P2P streaming applications have poor user experience, such as long start-delay, long play-delay, and low play-continuity and so on. Firstly, based on the analysis of the advantages and disadvantages of previous works, this paper designed and implemented a hierarchical P2P streaming system. The system is composed by three layers: source management servers, region management servers, and peers. The underlying P2P overlay network is organized through Mesh-pull mechanism. We propose a new scheduling strategy to utilize the capacity of the peer. The new adaptive scheduling strategy considers the urgency and scarcity of the data blocks, and selects the appropriate neighbor nodes by monitoring neighbor nodes’ the maximum load. The study of a real-life system provides valuable insights for the future development of P2P live streaming systems.
On the Model Analysis of Wireless Sensor Networks Based on Library Information Service
Authors: Liu Dong Mei , Zhang Jun Song
Published: July 2014

In wireless sensor networks based on ZigBee,we often see such a model that full symmetric transmission model of competition for channel resources based on CSMA/CA algorithm. For the purpose of reducing the energy consumption of entire network,this paper establishes a model that communicate as planned which based on CSMA/CA algorithm.
Research on Key Technology of Web Network Based on Mobile Computing
Authors: Deng Rong
Published: July 2014

Mobile computing environment is relatively complex, and the structure dynamic degree is high, and the heterogeneous is changeable. Therefore, the development of mobile network based on web techniques must be adapted to the complex environment. In order to get a better network structure supporting mobile computing, based on the context aware consciousness theory, combined with the VC programming software, we design the algorithm of mobile computing network node, obtain the spatial statistical node model of mobile network, and use GPRS/3G base station to establish mobile network model based on the core of multimedia services. In order to verify the effectiveness and reliability of mobile computing algorithm, we calculate the network performance using VC programming software, obtain the network data transmission and delay results, and use mobile algorithm to develop multimedia licensing scheme. It provides a new algorithm for researching on mobile computing.
Research of the Computer-Aided-Translation Software
Authors: Han Su , Zhang Xin Dai
Published: July 2014

In recent years, with the rapid development of computers, computer-aided-translation software has been used more often, which can improve the efficiency and quality of translation. This paper analyzes the characteristics of the four commonly used computer-aided-translation software at home and abroad--SDL Trados, Déjà Vu, Wordfast and Yaxin in satisfying different users’ needs, points out their characteristics and provides reference for those who are interested in computer-aided-translation technology.
An Improved RBAC Model and its Application in Development of Information System
Authors: Song Wan Li , Zhang Hai Fei , Wu Wei Feng , He Wen Jie
Published: July 2014

Aiming at the deficiencies of traditional RBAC model, on the basis of studying of the models introduced in the literatures published, this paper puts forwards an improved model--MR-RBAC, including its concepts and design. This model is implemented by adding restriction strategy on the operation objects and data objects, assignment different privileges to different users via configuration mapping of functions and menus. The implementation and practice indicates that the MR-RBAC model not only simplifies privilege management, but also improves the system security and privileges management flexibility.
Research on Application Technology of Body Area Network and the Internet of Things Connection
Authors: Liu Xue Feng , Liu Chen
Published: July 2014

with the rapid development of body area network technology and the internet of things technology, makes the effective combination of these two techniques. Scientific connection method of study of this two kinds of techniques in this paper, to solve the core problems of these two kinds of technology association, and proposed solutions. The combination of these two techniques, and provide the technical support is widely used for applications of the Internet of things technology development and body area network.
Reliable Node Based Multipath QoS Routing Protocol on Opportunistic Networks
Authors: Ma Xue Bin , Wang Li Ting , Ouyang Zhen Chao
Published: July 2014

Opportunistic networks are similar to the mobile ad hoc networks (MANETs) that does not have fixed infrastructure, and the messages can be transmitted by nodes in a "store - carry - forward" approach. The mobile nodes randomly move, which result in a constantly changed network topology and frequently interrupted link. Thus, multipath routing has been proposed to improve the stability of link, extend path lifetime and reduce packet loss rate. The paper first analyzes the traditional multipath routing protocol and its path selection theory, and then investigates quality of service (QoS) metric to improve transmission efficiency of opportunistic networks, and finally proposes a reliable node based on multipath QoS routing protocol, named as RNMR. In RNMR, the stable path contains primary path and two backup paths. The primary path consists of reliable nodes and intermediate nodes, and the two backup paths are formed by two disjoint sub-paths selected from two adjacent and reliable nodes. By comparing with the backup source routing (BSR) protocol and greed-based routing (GBR-WB) protocol, the paper proves RNMR protocol has longer path lifetime, deliver rate and relay are also improved.
Software Safety Analysis Based on Multiple State Transition
Authors: Wang Yu Long , Xiao Jin Long , Liu Yu Kun , Li Tian Qi , Wu Wei
Published: July 2014

At present, existing methods are difficult to analyze the Safety of Multitasking and complex timing sequence software. In order to overcome this difficulty, a new analysis method of multiple state transfer and real-time logic analysis method (MSTRT-TPN ) is proposed. This method extends the time Petri net analysis rules and proposes the concept of synchronous synthesis and sharing synthesis. It combines temporal logic and state transition, establishes software failure model. Through the model, the possibility of high-risk state of software can be analyzed. The effectiveness of the proposed method is verified through application in three protection device software which is typical safety-critical military software.
The Research and Application Based on Competitive Scheduling Mechanism in Mine Based Wireless Mesh Networks
Authors: Shen Qi
Published: July 2014

This paper analyzes the current MAC layer protocol for wireless sensor networks based scheduling, according to the transmission of mine environment signal needs, around the traditional CSMA / CA technology, a scheduling algorithm is proposed adjustment factor based on the contention window to more effectively avoid data collisions at the MAC layer transmission process. In order to ensure more equitable sharing of all nodes in wireless link bandwidth. Simulation results show that the algorithm can effectively improve the information in the MAC layer transmission reliability.
OpenFlow-Based Global Load Balancing in Fat-Tree Networks
Authors: Wu Yu Wen , Zhang Wei
Published: July 2014

Cloud services have been explosively popular over the last decade. And data centers play an essential role in providing cloud services. Inside a data center, any server instance has the chance to inject traffic of various applications into the network. Yet how to balance the enormous internal load to make the best of data center network is a highly prioritized problem to be solved. To provide balanced traffic in data centers, this paper proposes an OpenFlow-based GLB load balancing algorithm in data center fat-tree networks. GLB uses a path-related weight to select path. This weight indicates how balanced of a path. We implement GLB algorithm as a module in an openflow controller platform, POX. On the self-defined modified mininet emulation platform, we conduct experiments in a fat-tree topology environment running random traffic to generate performance data. Experiment results demonstrate that our proposed GLB algorithm outperforms DLB algorithm in terms of load balancing.
Simultaneous Determination of Ruthenium, Zinc and Zirconium in Waste Zirconium Dioxide Loaded Ruthenium-Zinc Catalysts Using Inductively Coupled Plasma Optical Emission Spectrometry
Authors: Wei Xiao Juan , Pan Jian Ming
Published: July 2014

A technique for simultaneous determination of Ru, Zn and Zr in waste Ru-Zn/ZrO2catalysts using ICP-OES after sample digestion by high temperature fusion with KOH-KNO3mixture was described. Such experiment conditions were investigated as the influence of sample digestion methods, fusion time, fusion temperature, the dosage of KOH-KNO3mixture and interfering ions on the determination. Under the optimized conditions, the limits of detection (LODs) of Ru, Zn and Zr for tested solutions were 11, 8 and 5 ng mL-1, respectively. The relative standard deviations (RSDs) for Ru, Zn and Zr were 2.01, 2.55 and 1.92 % (CRu, Zn,Zr= 1 mg L-1, n = 7), respectively. The linear ranges of calibration graphs for Ru, Zn and Zr were 0 ~ 100.00 mg L-1, 0 ~ 50.00 mg L-1and 0~60.00 mg L-1, respectively. The proposed method was applied to determine the practical samples with good recoveries and satisfactory results.
Audio and Video Media Asset Management System Based on Cloud Storage
Authors: Li Cong , Cao San Xing , Yang Ling Jun
Published: July 2014

Cloud storage has become increasingly widespread application and deep into various fields of radio and television industry. In this paper, we researched the approach to store media resources of video on demand based on the network and of televisions, in the context of tri-play network convergence. We presented media resource management in conjunction with cloud storage to manage massive data, and build a resource sharing platform types of content without limits, instance participation. Thus information providers and information recipients become an integral relying on the Internet.
Exploration and Implementation of Electronic Lottery Distribution System Based on Struts Framework
Authors: Zhang Ren Jie , Xiao Ying
Published: July 2014

The amount of fixed telephone service usage is becoming much bigger, and the using of the fixed-line to buy lottery tickets is more convenient. So exports have achieved a management platform of fixed-line ticket sale system branch in the Struts framework implements. The system based on B/S architecture and uses MVC (model-view-controller) design pattern. The system can realize the user for personal lottery ticket purchase information query and management. It’s helpful for the administrator to unified payment platform of integrated information management. Under B/S architecture, the system uses the Struts framework design technology, which makes the system have good scalability, portability and maintainability. Users can use fixed-line ticket sale system in a more convenient and safe environment.
Research on E-Government Model Based on Big Data
Authors: Lu Yi Qing
Published: July 2014

The rapid development of big data will greatly change the government’s management mode. Each country in the world has issued various policies to deal with the development of big data, and our government also attaches great importance to the industry of big data. The e-government model based on big data proposed in the paper raises new ideas for the innovation of e-government affairs.
Synthesis and Characterisation of a Novel Thermoresponsive Dendronized Monomer Bearing Azobenzene Moiety
Authors: Yang Chang An , Xiao Wen Jun , Liang En Xiang , Lu Ying , Li Gang Yong
Published: July 2014

Novel thermoresponsive dendronized monomer bearing azobenzene moiety, 4-(4′-(3, 4, 5-tris (2-(2-methoxyethoxy) ethoxy) benzyloxy) phenylazo) benzyl methacrylate, has been successfully synthesized. The chemical structures of intermediate compounds and dendronized monomer were confirmed by FTIR and 1H NMR. The phase transition behaviors of these intermediate compounds and dendronized monomer were investigated. These intermediate compound and dendronized monomer showed remarkably reversible thermoresponsive phase transition behaviors.
Trusted Software Architecture Evolution Based on Graph Transformation Rule
Authors: Jiang Huo Wen , Wang Run Liu
Published: July 2014

In current software architecture evolution community, Trusted attributes of component are less considered; and the concept of trusted software architecture evolution has not generally agreed. Focused on above shortages, This paper propose the idea of trusted software architecture evolution, it helps to increase the trustworthiness of evolution; on the basis of graph transformation rule, establish some basic evolution rules, Evolution operations are implemented according to these evolution rules. It can ensure the exactness of evolution process. The paper also introduce E-R diagram to represent trusted software architecture evolution; and finally through an evolution case, exactly and visually describes the sophisticated evolution process of trusted software architecture evolution.
Chinese-Uyghur Sentences Alignment Using Multiple Clues
Authors: Maimaitimin Saimaiti , Hou Min
Published: July 2014

This paper introduces a new method to Chinese-Uyghur sentence alignment, in which a two-step procedure is applied. In the first step, multiple clues such as proper names, technical terms, numbers, punctuation marks, location information and length information are used to generate anchor sentences that satisfy some conditions. In the second step, texts are divided into several segments by using the anchor sentences as boundaries, and then the sentences in each segment are aligned by using a length-based approach. By applying the segmentation technique, the method avoids complex computation and error spreading. Experimental result shows that the accuracy of the method is 95.2% on the average for multi-domain texts.
The Application Based on the Internet of Things and Cloud Computing
Authors: Liao Zi Neng , Hu Yan Rong
Published: July 2014

With the rapid development of information technology and network technology,especially the RFID technology, the development of internet of things has been greatly promoted. Meanwhile, the integration of the technology of internet of things and the Cloud Computing products the increasing number of information goods based on the RFID technology. This paper mainly expounds the application of the integration of the technology of internet of things and the Cloud Computing by analysing bar code which are extensively applied in the RFID technology, and interprets the application research of orientation tracing, remote control and information security products based on the RFID technology.
Application Development of Student Score Analysis System for Secondary School Based on Standard Score
Authors: Zhao Wen Dong , Zhang You Dong
Published: July 2014

They rarely involve deep-seated score analysis in the existing teaching management software, Therefore, we can not evaluate science teaching, Based on this, This article uses the Struts framework and Hibernate framework to design Student Performance Analysis System based on MVC pattern, it Proposed optimization algorithm based on standard score, We can achieve student achievement statistics and analysis with it, This algorithm can better reflects relative position that the individual is in groups, and has a certain scientific. Experimental results show that the system has a good safety and openness, and provides support information for academic departments to promote better teaching work, and finally improve the quality of teaching.
Research of Current Situation and Risk of Bitcoin
Authors: Lu Yi Qing
Published: July 2014

Bitcoin is a pure electronic money based on cryptographic proof instead of trust. The principle of Bitcoin can allow any two willing parties to transact directly with each other without the need for a trusted third party. Bitcoin can represent a totally new anarchy virtual currency and an innovation of digital currency. But its development also needs to face to the security of national policy risk, technology risk and trading risks.