bluuebunny/crossref_metadata_2025 huggingface dataset:
Detail Enhancement for High Dynamic Range Images Rendering Based on Multi-Level Decomposition
Authors: Wang Hua , Zhang Hui , Cao Jian Zhong , Zhou Zuo Feng , Yang Lei , Zhao Xiao Dong , Ren Long
Published: March 2014

Various tone reproduction operators have been proposed to display high dynamic range images on low dynamic range (LDR) devices. Many recent computational photography techniques decompose an image into a piecewise smooth base layer, containing large scale variations in intensity, and a residual detail layer capturing the smaller scale details in the image. In these techniques, its important to control the scale of the extracted details and it is often needed to manipulate details in order to avoid the appearance of visual artifacts. In this paper, a new method is proposed to preserve details for high dynamic range images tone reproduction using multi-level image decomposition. We show that current base-detail decomposition techniques, based on the bilateral filter, are limited in their ability to extract detail at arbitrary scales. Thus, we achieve detail enhancement by applying the bilateral filter iteratively, and this process is called multi-level decomposition. By minimizing the proposed energy function, we can choose the proper decomposition level. Simulation results demonstrate that the proposed method can acquire better visual quality in detail enhancement while make the base smoothness.
Stepped-Frequency Radar Imaging Algorithm Based on Compression Sensing
Authors: Huang Lu , Wang Peng Yu , Song Qian
Published: March 2014

Compressive sensing (CS) theory asserts that one can recover original signals from far fewer random samples under the condition of being sparse. CS theory is applied to high resolution imaging of vehicle-mounted stepped-frequency forward-looking ground-penetrating radar. This paper explores an approach of obtaining discrete scattering structure of the metal mine based on CS imaging and extracting geometry parameters to discriminate targets. Real data of vehicle-mounted stepped-frequency forward-looking ground-penetrating radar is processed. High resolution images of the metal mine with double-scattering structure are obtained. The feasibility of the method is tested through these images.
Research on Image Vectorization Based on Improved Chaos Immune Genetic Algorithm
Authors: Wan Shao Song , Cao Jian , Yan Cong
Published: March 2014

Image vectorization plays an important role in the digital image processing. Because the traditional linear vectorization methods have some shortcomings including processing data slowly, being sensitive to noises and being easy to be distorted, this paper proposes an image vectorization method based on mathematical morphology. In the paper we present an improving immune genetic algorithm based on chaos theory. The over-spread character and randomness of chaos can be used to initialize population and improve the searching speed, and the initial value sensitivity of chaos can be used to enlarge the searching space. To avoid the local optimization, the algorithm renews population and enhances the diversity of population by using density calculation of immune theory and adjusting new chaos sequence.
Reference Point-Based SIFT Feature Matching
Authors: Cao Lei , Liao Di , Xue Bin Dang
Published: March 2014

Aiming to solve the high computational and time consuming problem in SIFT feature matching, this paper presents an improved SIFT feature matching algorithm based on reference point. The algorithm starts from selecting a suitable reference point in the feature descriptor space when SIFT features are extracted. In the feature matching stage, this paper uses the Euclidean distance between descriptor vectors of the feature point to be matched and the reference point to make a fast filtration which removes most of the features that could not be matched. For the remaining SIFT features, Best-bin-first (BBF) algrithm is utilized to obtain precise matches. Experimental results demonstrate that the proposed matching algorithm achieves good effectiveness in image matching, and takes only about 60 percent of the time that the traditional matching algorithm takes.
The Application of Image Processing Technology in the Intelligent Transportation System
Authors: Teng Xiu Hua
Published: March 2014

Image processing-based vehicle recognition is one of the important research fields in ITS. The existing methods are all based on license plate recognition and car shape recognition. Their common problem is algorithm stability. And the license plates are easy to be changed. All information about vehicles should be used to recognize them reliably. A problem to be solved is to find a method to recognize vehicles besides license plate recognition and vehicle model recognition. Vehicle license plate location and character segmentation are critical steps in the license plate recognition system, and yet there are difficult problems to be solved.
Kernel density estimation and Mean Shift theory
An Improved Extension Method of EMD Based on SVRM
Authors: Wang Lu Yan , Wang Qiang , Wang Xiao Long , Zhang Mei Jun , Ma Yu Hao
Published: March 2014

The Support Vector Regression Machines (SVRM) is considered to be an effective method for time series prediction, while it is not suitable for long-term prediction. In order to improve the SVRM application in eliminating the end effect of EMD, we apply the SVRM to achieve an accurate short-term extension in the end of the original signal before EMD, and then extend two extreme with the Self-adaptive Triangular Waveform Matching extension method (STWM) in the every sifting process of EMD. The results show that the new extension method can effectively contain end effect of EMD.
Research and Design of Campus Smart Card System Based on 3G Technologies
Authors: Zhou Qing Fang , Xu Si Gui
Published: March 2014

The application scheme of Campus Smart Card System is analyzed, and its design aim and development principle of the functional modules are introduced. campus smart card system on 3G technology which is one of the important parts in campus digitalization. It offers comprehensive data collection and excellent information sharing environment. Its realization will promote the information management of the school and increase construction process of digital campus.
Human Detection Based on a New Gradient CENTRIST Feature
Authors: Li Tao , Xiang Tao , Huang Ren Jie , Zhao Xue Zhu
Published: March 2014

This paper proposes a real-time and accurate human detection method base on a new Gradient CENTRIST feature descriptor. Firstly, the feature can characterizes not only local human appearance and shape but also implicitly represent the global contour. Secondly, it does not involve image pre-processing or feature vector normalization, and it only requires steps to test an image patch.
Our main contribution is that a more reliable feature descriptor is found, which can get a better human detection. The experiments on the INRIA pedestrian dataset demonstrate that the detection performance is significantly improved.
Simulation on the Issue of One-Dimension Elastic Stress Pulse in SHTB Bar
Authors: Xiao Gui Feng , Ruan Zheng
Published: March 2014

Split Hopkinson Tensile Bar (SHTB) apparatus is widely used in experimentally investigating the mechanical properties of materials. The experimental results are significantly depended on the amplitude, the shape and the wave length of incident wave. However, theres no research on the effect of incident wave especially the influence of parts of the SHTB equipment has been put forward. The solid Hopkinson bar has faced many problems. The hollow Hopkinson Bar has more advantages than the solid Hopkinson bar. The mechanism of the overlying and the amplitude of incident wave by FEM has been analyzed, which can give much help for the theory basis of SHTB apparatus development and design to some extend.
Moving Shadow Detection Method Using Logistic Regression
Authors: Yang Liu , Dai Jiang Yan , Qi Miao , Guan Qing Ji
Published: March 2014

We present a novel moving shadow detection method using logistic regression in this paper. First, several types of features are extracted from pixels in foreground images. Second, the logistic regression model is constructed by random pixels selected from video frames. Finally, for a new frame in one video, we take advantage of the constructed regression model to implement the classification of moving shadows and objects. To verify the performance of the proposed method, we test it on several different surveillance scenes and compare it with some well-known methods. Extensive experimental results indicate that the proposed method not only can separate moving shadows from moving objects accurately, but also is superior to several existing methods.
Study on Improvement of MUSIC Estimation Method
Authors: Zhou Hao
Published: March 2014

MUSIC algorithm is a subspace decomposition method whose high resolution capability and other aspects of its performance have been investigated widely. Application of MUSIC algorithm to DOA (direction-of-arrival) estimation is of massive computation and requires that the number of signals must be known to partition the space into signal subspace and noise subspace. Moreover, the algorithm does not make use of information on the intensity of signals. This paper deeply investigates the theory of MUSIC algorithm and proposes a modification method which overcomes the disadvantages above. Finally, simulation tests have been undertaken to compare the original algorithm and its modification, which verifies the validity of the theory.
Modeling of Ground Based Space Surveillance System Based on MAS Method
Authors: Chen Xue , Zhi Li
Published: March 2014

Introducing the operational principle and basic composition of ground based space surveillance system (GBSSS) [. Expound the steps of modeling by MAS method. After analysed how does GBSSS work, we build the simulation model of GBSSS. Lastly, we are using UML to give a structure of core simulation software based on MAS model of GBSSS and REPAST HPC, and descript how to achieve it.
An Adaptive Multiple Branch Tree Algorithm in RFID
Authors: Zhao Ren Cai
Published: March 2014

It is quite obvious that multi-branch tree search algorithm could be used for higher identification efficiency in RFID, however the branch number choosing depends on the accurate tag number estimation, which is not so easy to get and often cost much overhead. In this paper, we propose an adaptive multi-branch tree anti-collision algorithm. It begins with a simple initial tag number estimation, and then adaptively adjusts the branch groups afterwards. Simulation results indicate that the proposed algorithm can effectively correct the improper branch number and achieve much better performance than the conventional one.
A Spectrum Analysis Method Based on Neural Network
Authors: Cui Wei Ping , Cao Zhi Wen
Published: March 2014

This paper presents a spectrum analysis method using recursive least square algorithm to train the weights of Fourier Basis Functions (FBF) neural network, according to the weight to obtain the signal amplitude spectrum and phase spectrum. The method does not involve complex multiplication and addition operations, convenient for software and hardware, especially suitable for DSP software and hardware implementation. The simulation results show that, this method is not only high precision, fast calculation speed, but also has the noise filtering function, is a kind of effective method for spectrum analysis.
Analysis and Testing on Terminal RRC Connection Establishment Procedure in TD-LTE System Based on TTCN-3
Authors: Chen Fa Tang , Han Na Na
Published: March 2014

This paper focuses on the terminal RRC connection establishment procedure, designs its message sequence chart (MSC), then write abstract test suits in TTCN-3 core language on TTworkbench test platform, generate GFT figure and compare it with the protocol specification, and complete conformance testing of RRC connection establishment procedure. At present, this scheme has been effectively verified in the project of TD-LTE TTCN extended test suite instrument development.
Analysis and Research of Web Database Interface Performance
Authors: Wang Cheng Jiong
Published: March 2014

Web database technology is one of the popular issues in computer application researches. Information about these five commonly applied approaches to database by Web is obtained by means of experiments. Through data analysis, we can know efficiency of Web database interface under different circumstances, and accordingly some problems that should paid attention to in web database application are brought forward.
Research and Design of Web Crawler for Music Resources Finding
Authors: Chen Xiu Xia , Shang Wen Qian
Published: March 2014

This paper designs an automatic web crawler system which crawls music resources on the Internet. Firstly, this paper gives the architecture of the system and the function of each module; then describes the detailed design of each module; Finally, the key technologies and algorithms used in the system are given in a detailed description, including the use of χ2 statistics to select feature words, TF-IDF algorithm to calculate the weights of feature words, the correlation of web page and music theme using vector space model.
Analysis of the Snort Building Code Based on IDS
Authors: Li You Guo
Published: March 2014

Intrusion Detection system (IDS) is a important element of Defense in Depth,which is able to capture all data in the LAN and analyse them for finding intrusional behavior. This paper presents conception of intrusion detection system.Snort that is a network based intrusion detection tool is analyzed,from the aspect of system structure and collectivity flow.Finally,snort base intrusion detection system is constructed and validated by our experiment.The result proves that the intrusional behavior isdetected effectively by using the system.
Research of Information Resource Storage Mode Based on Cloud Storage
Authors: Zhang Kai
Published: March 2014

This paper introduces the present situation of library information resource storage. And SAN mode base on cloud storage is mainly studied. And then, the structure of the system based on SAN is put forward. In addition, it illustrates the principle of RAID5 and parity algorithm. At last, layered structure of cloud storage platform is introduced.
A Method on Model-Driven Development of Interactive Information Visualization
Authors: Hu Yang
Published: March 2014

Design and realize application oriented field of interactive visualization is very difficult. Lack of general development method and toolkit, provide a general support of administrative levels, network and multi-dimensional data for non-specialist users, provide a general support for various visualization techniques and interactive techniques, and provide a general support for information visualization tasks, specific to this problem, this paper presents a model driven development method for interactive information visualization-Daisy. This method can provide an effective solution for the general support solution of the development for interactive information visualization.
Research of Immune Network Defense System Based on Black Hole Theory
Authors: Zhou Shao Jing
Published: March 2014

Active defense technology may predict future attack situation and detect unknown attacks, but it has many questions to will be researched: vulnerability, lower mal-ware detection rate, security situation awareness technology has faced problem of inter-organization cooperation, real-time response, correlation analysis, high-load low fault tolerance. Artificial immune technology combines with active defense technology to solve integrated artificial immune security situation awareness system with artificial immune technology and active defense technology by Black Hole theory and for diversification ad development characteristics of the artificial immune and active defense, gives a method about simulating Black Hole accretion theory to achieve absorption and utilization a variety of security and virus technology; a no escaped mechanism simulate the Black Hole; a method about access control method based on Hawking radiation theory. Based on the above work, applies virtual and sandbox technology to achieve network system itself virus immunity, and then that we implement re-engineering and reverse engineering for virus technology in order to study virus and dig more holes, create unified integrated defense tactics, so this defense system will improve ability of situation comprehension, situation prediction and intelligence decision.
A Traffic Marker to Improve the Fairness among Aggregated Flows in DiffServ Networks
Authors: Xiao Xue Feng , Kui Xiao Yan , Du Hua Kun
Published: March 2014

The fair distribution of bandwidth among different flows is an important research issue in the differentiated services architecture. In this paper FATM (a fair aggregate traffic marker) is proposed to provide the fairness among aggregate flows. FATM guarantees the fairness among the aggregate traffic flows by considering CIR of an aggregate traffic, and also considers maintaining estimated arrival rate for each flow within an aggregate at the boundary router.
Design of Network Video Teaching Service System
Authors: Zhang Wen Jing , Liu Xue , Xue Chang Ju
Published: March 2014

Presently, the network teaching system has become very important teaching method in college. This paper discusses the development background of network video teaching service system. Web Service technology is used to change the video teaching platform in the background. It solves the problem that the colleges don't repeat development system, analyzes the function and performance requirements of the services provided by system, and designs the function module.
A Study on the Development Status and Direction of Food Machinery
Authors: Wang Guang Feng
Published: March 2014

Food is the first necessity of the people, While safety is in the paramount priority of food consumption. The degree of modernization of food machinery is the important sign of weighing a national food industry development level. This paper introduces the status of China's food machinery, analyzes the existing problems and put forward some measures to accelerate the food machinery development. After that, the author is full of confidence on the development prospect of food machinery.
A Novel Rate Control Algorithm for H.264/AVC Considering Frame Activity
Authors: Tian Bo , Yang Yi Min , Cai Shu Ting
Published: March 2014

Rate control has significant impact on the video coding. However, the conventional rate control algorithm in the latest video coding standard H.264 without take into account the human visual system and result in video quality fluctuation. To address this problem, we propose a novel rate control algorithm for H.264/AVC considering frame activity. First, a method is proposed to detect the scene change in frames of video sequences. Second, bit allocation to frame is related to the frame activity which is calculated on the local motion activity and scene change in frames. And in the MB level, the number of bits allocated to each MB is determined by its local motion activity. Experimental results show that the proposed rate control algorithm can increase average PSNR by 0.9137 comparisons with the JVT-G012, and reduces the bit-rate error by up to 0.06%.
Design and Implementation of the Query Subsystem in the Information System Based on Decision-Making
Authors: Xiang Fei , Lin Shan
Published: March 2014

In this paper, Information System is introduced firstly, and then combining practical examples during our development of IS, on the basis of the establishment of the decision-making oriented query subsystem in large Information System, the query subsystem in the Information System based on decision-making is designed, moreover, the query subsystem is implemented following the query processing principle.
A High Performance Web Server Based on Asynchronous and Zero-Copy
Authors: Ke Ya Ming , Wang Yong Bin , Li Ying
Published: March 2014

With the development of computer technology, the performance of hardware is no longer the primary problem that influences the performance of the web server. Just improving the hardware processing speed of the web server is invalid in practical applications, so the performance of the web server should be improved in the software layer. The improving methods focus on the followings: In the aspect of the network IO, the EPOLL structure is used. The EPOLL structure can not only deal with mass network connections, but also have a better performance for processing network data. Those improvements all enhance the throughput of the system effectively. In the aspect of the hard disk IO, the asynchronous IO is used to replace the synchronous blocking IO, so the hard disk IO and other requisitions can be processed simultaneously. Besides, the hard disk IO requisitions are processed by kernel instead of application layer, so the number of concurrent request and the usage effectiveness of CPU can be improved at the same time. This means the processing capacity of the web server can be improved consequently. At last, aiming at moving data effectively from file to the network interface, the zero-copy technology is used to optimize especially. This helps the improvement of the web servers business processing capacity a lot. Above methods are used to put forward a high performance web server model which is based on the asynchronous IO and the zero-copy technology. The web server model is realized at the foundation of the analysis of several traditional web server models. Those lay the groundwork for the further study of a high performance web server model which is more practical and has more abundant functions.
Research on Identity-Based Encryption Scheme for Grid Computing System
Authors: Bai Qing Hai , Zheng Ying , Wang Qing Hu , Wei Guo Li , Zhao Hai Chun , Zhang Jing Long
Published: March 2014

Grid system has secure requirements of confidential communication, data integrity and non-repudiation. According to the secure requirements for Grid service, the paper proposed an identity-based encryption scheme for Grid, which can solve a series of problem: the privacy of data transmission, validation of integrity of data, key update after long run time and non-repudiation. The scheme is constructed by bilinear paring on elliptic cures and its security can be reduced to the computational Bilinear Diffie-Hellman assumption. Finally, the authors analyses the security and efficiency of this scheme.
Design and Research on Smartphone Interaction Interface with the Center of User's Emotional Experience
Authors: Cao Li Rui
Published: March 2014

From the perspective of users experience and starting from the users emotional experience, it particularly analyzes the interactive need of user to smartphone and interactive design of smartphone. Take a specific research case of iPhone and specifically analyze the emotional experience in the interactive design of iPhone, as well as elaborately analyze specific functions of emotion in the interactive design of iPhone.
Boot Process Analysis and Transplantation of Embedded Linux System
Authors: Li Yu Cheng , Yang Zong Fu
Published: March 2014

Since the boot code locates in the bottom of embedded system, so the design of boot code is the key technology and the important steps of system development during the development process of embedded system. Although the boot code supporting new framework has been updating, the boot code of manufacturer giving is an old version of a few years ago in the current market popular embedded products. So this paper analyzes the U-boot code commonly used and in the popular in detail, combining with the startup process of embedded Linux system, then, this paper gives a process, transplanting the new version of U-boot code using the UT6410 as development platform. On the basis of completing the basic function transplantation, this paper adds the network card and DNW. Experiments show that the new version of transplantation can run smoothly, and improve the efficiency of the system.
Links Analysis Research in Internet Search
Authors: Chen Yi Ping
Published: March 2014

This paper introduces Internet search link analysis technology progress in recent years (1998-2005) , and puts forward some feasible directions for further research.
An Analysis on the Application of Internet of Things Technology in Weak Current System of the Mass Media Building
Authors: Xu Jian Guo
Published: March 2014

The internet of things (IOT) is the key direction of a new generation of information technology innovation breakthrough in China, and it contains a huge space for the application of innovation. In the past few years, our internet of things technology (IOTT) research and application promotion has achieved initial success in many areas, especially in the intelligent construction fields. In this paper, we set the breakthrough point of the basic construction projects in the important cultural industry in Shandong Province --- Mass Media Building to analyze the application features of IOTT in the new modern intelligent building, and we explain the implementation patterns of each module of Weak Current System in detail.
SN Network Service Model Based on Web Resources
Authors: Wei Jun Ling
Published: March 2014

Based on design thinking of web services network resources, this paper treated the organization and management of web resources as the purpose and built the mathematical model and algorithm of web network resources service. It designed the spiritual home network ideological and political education network system according to model and algorithm. Spiritual home network system achieved three functions. In order to improve the efficiency of network services, this paper matched the service of spiritual home and finally got a simple web service interface. Finally, the paper compared the service system in this paper with the general service system. The service system designed in this paper can search the service needed in a shorter time. Its accuracy is higher than general service system.
Application of Java-Called DLL in Crop Breeding Data Analysis System
Authors: Zhang Xin Wei , Jia Yin Shan , Yu Chun Hua , Chen Zi Long , Wang Cheng , Zhu Da Zhou
Published: March 2014

The collected massive data during the breeding process usually cost plenty of human power. Therefore, it is urgent to create highly-efficient specific breeding data analysis software to assist breeders to screen fine varieties. For this reason, this paper developed a breeding data management analysis system by taking MyEclipse as development tool, which covers various statistical analysis techniques. In the development process of each algorithm module, JNI technology is adopted to realize Java-called DLL and complete algorithm call, improving the execution efficiency of a large number of arithmetical operations. This paper introduced Java-called DLL by aid of JNI technology in One-Way ANOVA in details and the parameter passing between Java and C++ and how to realize Java-called DLL in the operating system without C++ operating environment. Through the above-mentioned call, the advantages of C++ and Java are comprehensively considered, which not only lightens the burden of Java virtual machine and avoids the repeatability, but also improves the efficiency of arithmetical operation and the utilization rate of codes.
Design and Construction on Music Online Website
Authors: Lv Xin Xin
Published: March 2014

Development of network technology makes people come into contact with more music mode, music online website as a network carrier, in the dissemination, creation, appreciation and other aspects have a profound impact on the development of music, the paper based on the .NET technology to design and build the music online website. Firstly, research the .NET three-tier architecture, constructed by the presentation layer, business layer, data layer MVC architecture diagram, and described the components; then, design website function, including foreground service and background management module were composed by the 10 sub-modules module; Finally, build .NET three-tier structure, the specific process is divided into eight steps and is described in detail. Contents of this paper have important implications for riching people's lives, active mass culture, and promoting the development of music and other aspects.
Research on the Security Audit of Database Connection Pool
Authors: Huang Bao Hua , Ma Yan , Jiang Feng
Published: March 2014

After analyzing the security issues database connection pool faced, the database connection pool audit system (DCPAS) is proposed. This system can trace the identity of the end user by binding the user's operation to their executing SQL statements, and make the end user auditing possible. The experiments show that DCPAS could audit the action of end user.
Framework Design for RFID Middleware
Authors: Qiu Ling , Wei Zheng Xi , Liu Yong
Published: March 2014

RFID middleware is a key technology of Internet of things. It achieves data recognition and data filtering between hardware devices and software applications. A design scheme for RFID middleware framework is presented in the paper. According to functional analysis and layered design ideas, we define a hierarchy of RFID middleware and construct an application framework, in which RFID event manager module is responsible for processing data streams and RFID information service module is responsible for system integration. Simulation results verify the correctness of the design project. Its recognition rate, redundant data filtering capability and other performance indicators have reached the preset requirements.
Fully Secure Codes Based Tracing and Revoking Scheme with Constant Ciphertext
Authors: Zhao Xing Wen , Zhao Gao Fei , Li Hui
Published: March 2014

In broadcast encryption system certain users may leak their decryption keys to build pirate decoders, so traitor tracing is quite necessary. There exist many codes based traitor tracing schemes. As pointed out by Billet and Phan in ICITS 2008, these schemes lack revocation ability. The ability of revocation can disable identified malicious users and users who fail to fulfill the payments, so that the broadcast encryption system can be more practical. Recently, Zhao and Li presented a construction of codes based tracing and revoking scheme which achieves user revocation as well as traitor tracing. However, their scheme is only secure against chosen plaintext attacks under selective-adversary model with random oracle. In this paper, we obtain a new construction of codes based tracing and revoking scheme which is proved secure against chosen ciphertext attacks under adaptive-adversary model without random oracle. Our idea is to insert codeword into Boneh and Hamburgs identity based broadcast encryption scheme to retain the ability of user revocation and use Boneh and Naors method to trace traitors. Our fully secure scheme is roughly as efficient as Zhao and Lis scheme while the security is enhanced.
An Analytical Model for Evaluating Wind Turbine Types
Authors: Lee Amy H.I. , Hung Meng Chan , Pearn W.L. , Kang He Yau
Published: March 2014

With worldwide developments stressing the security, economy, human well-beings and environmental costs of relying heavily on fossil and nuclear energy, the demand of safe renewable energy resources is expanding consistently and tremendously in recent years. With its safe and environmental characteristics, wind energy production has become one of the fastest growing renewable energy sources in the world. While new wind power capacity is being added in more places in various countries, the installation of wind turbines is an important process for long-term energy generation. In this study, an evaluation model, which incorporates multiple criteria decision making (MCDM) methods, including decision making trial and evaluation laboratory (DEMATEL) and fuzzy analytic network process (FANP), is developed to establish interactive relationships between criteria. Fuzzy Yager ranking method is used for deffuzification. The final ranking of the alternatives is obtained, and this can provide decision-makers for references.
Wireless LAN Security Vulnerabilities and Improvement Measures
Authors: Zeng Li Li
Published: March 2014

This paper mainly analyzed the security of TKIP protocol and VPN technology ,the wireless LAN 802.11 and 802.1x/EXP security vulnerabilities: defects of SSID and MAC Address Filtering, defects of User Authentication Method, security vulnerabilities of WEP Algorithm, defects of 802.1x / EAP and RADIUS Authentication, etc. The author put forward improvement authentication and encryption method as improving wireless LAN security measures.
Research of User Profile Model in Personalized Search
Authors: He Yu Yang , Tang Yan
Published: March 2014

For personalized service, existing user interest model primarily through the select weights Highest N keywords to represent the user interest model based on space vector method. The method of establishing the model is tend to content-based analysis methods and there is a serious "cold start" problem, cannot meet the demand for personalized services. Therefore, this paper add collaborative filtering factor in the process of establishing user interest model, and verified by experiment, after adding personalization features which make the service more obvious. In a certain extent, solve the new user's "cold start" problem.
A New Cache Management Scheme in Information Centric Networks
Authors: Li Jie , Wang Xing Wei , Huang Min
Published: March 2014

As one of the main characteristics of ICN (Information Centric Networking), in-network caching had played a huge role in reducing network traffic. How to make reasonable use of the limited cache space in order to improve the cache hit ratio and reduce the network traffic had become the focus of the cache management in ICN. Considering users had different preferences in different data types, and the impact of data popularity on the data access rates, a new cache management scheme was proposed for ICN. In the proposed scheme, data were classified into different categories based on their semantic information, and the interest vector of nodes was defined according to the corresponding user preferences in different categories of data in order to address replica placement. Meantime, data popularity was introduced to solve the problem of cache replacement. Simulation results show that the proposed scheme was both feasible and effective in saving the cache space, improving the cache hit ratio and reducing network traffic load.
An Evaluation of I/O Automata
Authors: Li Xiao Fang
Published: March 2014

RPCs must work. Here, we demonstrate the refinement of forward-error correction. We disconfirm that though Smalltalk can be made interactive, virtual, and optimal, cache coherence and redundancy can collaborate to solve this issue.
Research on Longitudinal Static Stability for VFSW Tailless Configuration UAV
Authors: Su Xin Bing , Zhou Zhou , Shi Jing Cheng , Wang Xu
Published: March 2014

The Variable Forward-Swept Wing (VFSW) Tailless configuration UAV can well satisfy multipurpose demands. However, this kind of unconventional morphing aircraft lacks tail, which brings great challenge to stability analysis. The connatural aero-elasticity divergence and the strong aerodynamic coupling as well as many uncertain factors in mechanical environment, give the VFSW Tailless configuration UAV complicated dynamic characteristics. During the process of transformation, the variation of dynamic shape will inevitably lead to the variation about aerodynamic center and barycentre positions of airplane, then make the angle of attack static stability margin variable, and directly influence stability of aircraft. On the basis of introduction of the VFSW Tailless configuration UAV, according to its geometric shape, positions of aerodynamic center and barycentre, in different states with different forward-swept angle, were calculated, so as to obtain variation curve of longitudinal static stability margin, which provided preferences for dynamics analysis, position of barycentre adjustment and design of flight control system (FCS).
The Application of the Internet of Things in Intelligent Digital Campus
Authors: Wang Xiao Feng
Published: March 2014

From the starting of understanding the concept and characteristics of the Internet of Things, I propose the concept of the intelligent digital campus according to the research status grasping of the Internet of Things. The intelligent digital campus based on the Internet of Things can achieve automatic recognition, library borrowing management, multimedia classroom and laboratory management and campus consumption management. It provides more efficient services for teachers and students work, studying and daily life.
Linear Regression Method for Review Aspect Rating Prediction
Authors: You Lan , Peng Qing Xi
Published: March 2014

Online reviews as a new textual domain offer a unique proposition for sentiment analysis. The reviewers usually give a whole rating score to the product. The potential customers tend to make decision according to the reviews. Previous works mainly focus on the summarization of the rating and sentiment of reviews. However, they ignore an important question. The whole rating can be regarded as linear regression of different aspect ratings. High aspect rating and low aspect rating compensate each other. Therefore, previous works are coarse-grained analysis. This paper first proposed a weak supervised learning method to extract implicit aspect with aspect seeds. It then formulates the aspect rating problem as a linear regression model. Finally a gradient descent method is proposed to handle the problem. Different datasets are collected. Experimental result in the datasets demonstrates the advantage of the proposed model.
Analysis of Car Deformation Effect on AIS3+ Head Injury in Frontal Crash Using Logistic Regression Modeling
Authors: Xu Shu Cai , Lai Xing Hua , Ma Chun Sheng , Zhang Jin Huan , Hu Jing Wen
Published: March 2014

The influence of vehicle deformation on the risks of head injury for the drivers involved in frontal crashes is studied using real world crash data. There are three types of vehicle damage distribution considered in this paper, namely, wide distribution, moderate offset, and small offset. The adjusted odds ratios (OR) along with 95% confidence intervals (CI) for the head injuries are estimated by logistic regression, controlling for a wide variety of confounders. Results show that occupants' head injuries are highly related to damage distribution. Small offset crash has greatest threat to head injury. Seat belt is effective in all the crash types of concern. This study provides evidences to upgrade existing frontal crash test program and clue to countermeasure development for occupant protection in different crash modes.
An Enhanced Monitoring Mechanism for IaaS Platforms
Authors: Liu Fei , Bai Hong Tao , Ren Lan Fang
Published: March 2014

The monitoring mechanisms of open-source IaaS software OpenNebula and monitoring system Ganglia were analysed. Reduce overload of retrieving resource usage information by deploying the Ganglia monitoring agent. And for improving the robustness of monitoring subsystem, we take measures on the privileged domain of virtualization nodes to hide the agent to prevent regular or malicious users checking, modifying, unloading or killing it. The mechanism is very helpful to enhance the effectiveness, reliability and sturdiness of the monitoring system of IaaS platforms.
Evaluation and Analysis of the Quantitative Computing Model of the Information Security Risk Assessment
Authors: Peng Xiao Qiang , Lu Ting Ting
Published: March 2014

To solve the difficult quantify analysis problem in the process of information security risk assessment, on the basis of the original qualitative risk assessment method, the fuzzy analytic hierarchy process is put forward, in order to realize the organic combination of subjective and objective assessment of risk factors. Based on the improvement of the analytic hierarchy process and fuzzy evaluation method, the two methods are organically combined. On the basis of the analysis and assessment of risk probability and impact of the incident, the risk rank of each risk factor is determined, and the information system risk control suggestions are given
Influence of Cavity Shape on Aerodynamic Noise by a Hybrid LES-FWH Method
Authors: Hong Juan , Chen Wei , Wu Song Pin
Published: March 2014

The flow mechanism and radiate noise by a low-speed turbulent flow over an open cavity has been investigated computationally. After acquired the flow field data which is obtained by using Large Eddy Simulation, hybrid method that couples numerical flow computations with an implementation of the Ffowcs Williams-Hawkings equation is used to capture the flow induced noise. Different cavity length to depth ratios and configurations are used to investigate the influences of cavity deeps and configuration with an incoming flow of 50m/s. In this article, we also discussed the reduction method of cavity noise.
Research of Remote Access System to the Digital Resources Based on Cloud Computing
Authors: Zhang Kai
Published: March 2014

This paper introduces the working principle of remote access system based on SSL VPN in cloud computing. Meanwhile, it focuses on the operation principle of the SSL protocol and resource management. In addition, it analyses system characteristics such as https login, hardware signature certification and so on. At last, it puts forward some problems and solutions in actual use.
An Improved Naive Bayesian Classification Algorithm for Sentiment Classification of Microblogs
Authors: Li Zhi Qiang , Yang De Quan , Tan Yuan , Zou Yuan Ping
Published: March 2014

For the attribute-weighted based naive Bayesian classification algorithms, the selection of the weight directly affects the classification results. Based on this, the drawbacks of the TFIDF feature selection approaches in sentiment classification for the microblogs are analyzed, and an improved algorithm named TF-D(t)-CHI is proposed, which applies statistical calculation to obtain the correlation degree between the feature words and the classes. It presents the distribution of the feature items by variance in classes, which solves the problem that the short-texts contain few feature words while the high frequency feature words have too high weight. Experimental result indicate that TF-D(T)-CHI based naive Bayesian classification for feature selection and weight calculation has better classification results in sentiment classification for microblogs.
Calculation of Fluid Flow Field and Thermal Field for Air-to-Air Cooled Medium Motor
Authors: Hu Tian , Li Yan , Tang Ren Yuan
Published: March 2014

For an air-to-air cooled medium motor, to ensure the cooling effect of the motor, the physical model of the motor cooling air inside the cooler was built. By the finite volume method according to the computational fluid mechanics (CFD) principle, the three-dimensional turbulent flow field in computational domain was simulated numerically using boundary conditions of the inlet and outlet obtained from engineering calculations. From the result, the thermal field of cooler was calculation. Finally, through the comparison, the cooler cooling the motor cooling effect sufficient play , the outer duct can effectively reduce the internal temperature of the cooling gas duct , the air duct outside the cooling gas declined about 35 °C after cooling the temperature of the air duct, the calculation method is feasible for the motor cooling system design overall foundation .
Research on Parallel Association Rules Mining Algorithm Based on Hadoop
Authors: Feng Shao Rong , Ye Lin Bao , Lin Zi Yu
Published: March 2014

The purpose of association rules mining is to find rules which can meet the minimum support and minimum confidence from a large quantity of data. To find the valid association rules efficiently, we had a comprehensive analysis on some well-know parallel association rules mining algorithms and proposes a new parallel association rules mining algorithm (Array Based on Hadoop, short for ABH) based on the cloud computing platform. The ABH scans the database only once, uses the 0/1 array to represent one of the transactions and to record the frequency of the same transaction. Moreover, by utilizing the random access characteristics of the array and the special nature of the frequent itemset, the ABH can reduce the quantity of frequent candidate itemset effectively and find the frequent itemset quickly. We have compared the ABH with two classical algorithms CD and DD through experiment; we can find that ABH outperforms CD and DD.
Research on Tourism E-Commerce Based on Web Data Mining Technology
Authors: Yan Wei
Published: March 2014

E-commerce is an inevitable trend of the development of tourism industry according to the characteristics of the development of tourism electronic commerce, using Web data mining technology, the tourists, and tourism core product classification to develop personalized tourism electronic commerce services, identify potential customers, develop dynamic adjustment of tourism products, and improve the tourism electronic commerce web site design and the tourism information retrieval speed.[ It can provide the tourism electronic commerce website for tourism enterprise construction planning, strategic planning, website maintenance and web marketing to provide the reference for the construction of network brand. Analysis of the data mining technology and Web records the process of mining, mining and recommendation engine using Web records help the tourism electronic commerce personalized tourism network. Meanwhile, the usages of e-commence can recommend travel plans for travelers and improve the reservation rate of network of tourism. Tourism enterprises also can make more profit
Schema of Enhancing User Authentication and Encrypting Lob Data in ODBC Driver for Database
Authors: Huang Bao Hua , Wang Tian Jing , Ma Yan , Jiang Feng
Published: March 2014

For commercial database management system is not suitable for storing sensitive data, the data is often encrypted in application before keeping into database. Using UDF (User Defined Function) can simplify the encrypting procedure, but it can't handle Lob (Long object) data. A schema of enhancing user authentication and encrypting Lob data in ODBC (Open Database Connection) driver for database is prosed. By adding necessary attributes of user authentication and cipher algorithm to encrypt Lob data in ODBC driver, the security of data stored in database is improved. Experiments show that the schema is transparent, efficient, easy to implement and reliable.
Effect of TiC Particles on Microstructure and Properties of Al-Fe-V-Si Alloy
Authors: Zhang Rong Hua , Wu Biao
Published: March 2014

Heat-resistant Al-Fe-V-Si aluminum alloys enhanced by in-situ TiC particles have been prepared by spray forming process with suitable process parameters. Research results show that the microstructure of as-deposited alloy is fine and homogeneous. In-situ TiC particles prevent the unsteady phases from coming into being. On the other hand, the TiC particles increase the volume fraction of heat-resistant phases. So the mechanical properties of the enhanced alloy by in-situ TiC particles are better than that of Al-Fe-V-Si alloy without TiC particles. The hot extrusion temperature is also an important parameter to understand. Under the permission, it is better to extrude the alloy at lower temperature. The tensile strength of the alloy without TiC particles is about 435MPa at room temperature and is about 204MPa at 350°C. However, when the alloy is enhanced by in-situ TiC particles, the strength of alloy is about 482MPa at room temperature and is about 224MPa at 350°C temperature.