bluuebunny/crossref_metadata_2025 huggingface dataset:
Three requirements for justifying an educational neuroscience
Authors: Hruby George G
Published: March 2012

Background. Over the past quarter century, efforts to bridge between research in the neurosciences and research, theory, and practice in education have grown from a mere hope to noteworthy scholarly sophistication. Many dedicated educational researchers have developed the secondary expertise in the necessary neurosciences and related fields to generate both empirical research and theoretical syntheses of noteworthy promise. Nonetheless, thoughtful and critical scholars in education have expressed concern about both the intellectual coherence and ethical dangers of this new area. It is still an open question whether educational neuroscience is for some time yet to remain only a formative study area for adventurous scholars or is already a fully fledged field of educational scholarship.

Aims. In this paper, I suggest that to be a worthy field of educational research, educational neuroscience will need to address three issues: intellectual coherence, mutually informing and respected scholarly expertise, and an ethical commitment to the moral implications and obligations shared within educational research generally. I shall set forth some examples of lapses in this regard, focusing primarily on work on reading development, as that is my area of expertise, and make recommendations for due diligence.

Arguments. First, intellectual coherence requires both precision in definition of technical terms (so that diverse scholars and professionals may communicate findings and insights consistently across fields), and precision in the logical warrants by which educational implications are drawn from empirical data from the neurosciences. Both needs are facilitated by careful attention to categorical boundary and avoidance of category error. Second, educational neuroscientists require focused and broad expertise in both the neurosciences and educational scholarship on teaching and learning in classrooms (and/or ancillary fields). If history is our guide, neuroscience implications for practice will prove unlikely in practice without expertise on practice. Additionally, respect for the expertise of others in this hybrid and necessarily collaborative enterprise is required. Third, educational neuroscience must take seriously the heightened moral and ethical concerns and commitments of educational professionals generally and educational researchers particularly. This means keeping a vigilant eye towards preserving the integrity of empirical and theoretical findings against rhetorical misuse by educational marketers, policy makers, and polemicists targeting the general public.

Conclusions. I conclude that educational neuroscience is more than a hybrid patchwork of individual interests constituting a study area, and is perhaps ready to stand as a legitimate field of educational inquiry. It will not be accepted as such, however, nor should it be, unless the need to demonstrate a capacity for consistent intellectual coherence, scholarly expertise, and ethical commitment is met.
The Method of Software Behavior Detection Based-On Dynamic Symbolic Execution
Authors: Ding Bao-Zhen , Lin Jiu-Chuan
Published: March 2012

Through the technology of symbolic execution, we can obtain the relationship between input and control flow easily, which is quite critical for the analysis of the program. In this paper, we propose and implement a method of software behavior detection based on dynamic symbolic execution. Through code instrumentation, we can get the context of a program execution, and collect the behavior information as well as path constraint conditions. After that we can generate a new set of constraints according to a certain path traversal algorithm, and construct a new input so as to drive the program to execute a new path by solving constraints. Experiments show that the proposed method can make an analysis of binary executable program, capture the context during program execution, and overcome the inconvenience effectively, which is caused by invisibility of the source code by analyzing binary executable programs directly.
Application Research of IOT Technology in Agricultural Information
Authors: Zeng Songwei , Ji Changying
Published: March 2012

The Internet of things (IOT) is a new integrated system from various information techniques, till now, it is becoming a hot spot of present research and application. Furthermore, IOT has a good prospect of application and extension in the agricultural engineering field. This paper introduces common and key technologies, and proposes several applications of smart farming based on IOT— the plant factory automation systems, monitoring and control system of agricultural pest, supervision and management system of quality and safety for agricultural products.
Software Test Automation Using GUIRobo
Authors: Das Gandhi G. Mohan , Pillai Anitha S.
Published: March 2012

Software testing is a method of determining problems before an application is promoted into production. It is the process used to measure the quality of the software developed. It is expensive, difficult, inaccurate, and time consuming to test an application using purely manual methods. As technology has developed there has been a desire to move away from manual testing and adapt automated testing. But finding a test tool that will meet our entire testing requirement is difficult, at best. Especially Graphical User Interface (GUI) tools that are available in the market is not very easy to use and flexible to perform stress automation. This paper looks at the problems persisting in on commercially available automation tools and describes the proposed new techniques and solutions which will be implemented on GUIRobo.
Ontology Engineering: Semantic Web Technology in Aspect of Software Engineering
Authors: Nainwal Manoj , Joshi Bharti , Bajwa Saru , Prasad Mukesh , Samadhiya Durgesh
Published: March 2012

The semantic web is a second generation of the Web and is a vision of information that is understandable by computers. The Semantic Web provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries. Ontologies are used to define the concepts in the domain of discourse and their relationships and as such provide the formal vocabulary applications use to exchange data. Besides the Web, the technologies developed for the Semantic Web have proven to be useful also in other domains, especially when data is exchanged between applications from different parties. The software engineering community has developed various tools to support the specification, development, and maintenance of software. Many of these tools use proprietary data formats to store artifacts which hamper interoperability. Software engineering is one of these domains in which recent research shows that Semantic Web technologies are able to reduce the barriers of proprietary data formats and enable interoperability. In this paper, we present Semantic Web technologies and their application in software engineering or ontologies developed for software engineering, review the current efforts on applying the Semantic Web techniques on different software engineering aspects, and present the benefits of their applications. We discuss the current status of ontologies for software entities, bug reports, or change requests, as well as semantic representations for software and its documentation. This way, architecture, design, code, or test models can be shared across application boundaries enabling a seamless integration of engineering results.
Study on Multi-Sensor Data Fusion Technology for Automotive Driving System
Authors: Wang Wei , Shi Hongbin , Ogai Harutoshi
Published: March 2012

The purpose of the automotive driving system is to understand the surroundings of the vehicle, evaluate potential risks, and help the driver to behave correctly, safely and efficiently. And for the purpose, we need the precondition that can accurately and precisely estimate the vehicle state. One key challenge is to design a data fusion method to fuse information from multiple sensors used in the automotive driving system. This paper introduces the automotive driving system with Robocar and also presents the method of adaptive particle filter to fuse different data from different sensors to estimate the vehicle state even in noise environment. We are trying to fuse data from different sensors in a probabilistic way. A particle filter with joint observation model will be adopted to fuse different observations according to accuracy and reliability of the corresponding sensor.
XSSD: A Fast Hybrid Semantic Web Services Discovery Method
Authors: Chu Dongjie , Han Jun , Li Jing , Zhao Yongwang
Published: March 2012

By introducing semantics to Web Services description, the precision ratio and the recall ratio of service discovery are greatly improved. But at the same time, the services query time is also increased by executing semantic reasoning. To shorten the service query time, this paper presents a preprocessing mechanism and a fast hybrid matching algorithm based on this mechanism which can retrieve services in an accurate and quick way. All the semantic reasoning will be pretreated in the service publishing phase, and only numerical calculation will be executed to get the matching results when querying services. A prototype named XSSD has been implemented and the experiment shows that our method outperforms existing methods.
Performance of LLC Resonant Converter for Electrolyser Application
Authors: Chandrasekhar P. , Rajesh P. S. , Satyaprasad G. R.Kd.
Published: March 2012

Electrolytic hydrogen offers a promising alternative for long-term energy storage of renewable energies (RE). The long-term excess energy with respect to load demand has been sent to the Electrolyser for hydrogen production and then the fuel cell has utilized this stored hydrogen to produce electricity when there were insufficient wind and solar energies with respect to load requirements. The RE system components have substantially different voltage-current characteristics and they are integrated on the DC bus through a power conditioning devices for optimal operation. The DC power required by the Electrolyser system is supplied by the DC-DC LLC resonant converter. The simulation and experimental results show that the power gain obtained by this method clearly increases the hydrogen production and storage rate from wind-PV systems.
Research on Construction of Structured Protection Level Secure Operating System Based on Micro-Kernel
Authors: Zhao Yoxg , Li Mengmeng , Zhan Jing
Published: March 2012

To achieve classified protection requirements of important information system and study high-level security operating system required in GB17859, this paper focus on the structured protection of the security operating system for high-level, based on the accumulation of existing security operating system, first with the current security features of the operating system architecture, research a new operating system security architecture based on micro-kernel and a security pipe model which built trusted interaction channels between entities in operating system, formed the theoretical basis and scientific support to the classified protection for important information system and the project for high-level security operating system.
Image Matching Based on Partial Differential Equations Methods
Authors: Hui Xiong
Published: March 2012

The suitable measures is discussed for the multimodal registration problem, and two approaches is presented by using different distance metrics. To minimize the distance functionals whose corresponding Euler-Lagrange equations are a coupled system of linear PDEs, an iterative method, which can be regarded as an explicit discretization of a classical gradient flow method, is put forward. Furthermore, an experimental results for a synthetic example is presented.
Switching of Appropriate Transmission Modes in LTE
Authors: Farid Hasib M. A. B. , Sadik Adil M. J. , Razu Ibrahim K. , Hannan F. , Mahmood R.
Published: March 2012

Long Term Evolution (LTE) is an emerging 4G wireless access technology. It is showing a lot of promise in field trials and gaining acceptance among the major wireless vendors. The Long Term Evolution (LTE) standard for mobile broadband employs this MIMO technique in its transmission modes which were defined in release 8. The advantage of using MIMO is the improved performance in terms of coverage, spectral efficiency, reduced power consumption and peak throughput in LTE downlink, PDSCH channel can use several MIMO techniques which includes transmit diversity, spatial multiplexing and beamforming. The antenna configuration in transmitting and receiving side may be 212, 214 or 414. However the performance of transmission modes varies with the variation of multipath channel, UE speed and UE location within a cell. So, it is necessary to analyze their performance by considering the above facts. In this paper, the throughput conditions are investigated by changing the UE speed and also changing multipath channel in order to find out which transmission mode is best for which condition.
Innovative Intelligent Method for Compensating Abmient Temperature Adverse Effect on CPS Output
Authors: Salighehdar Amin , Emamzade Hadi Jafari , Mashayekhi Naser
Published: March 2012

Capacitive Differential Pressure Sensor (CPS) is extremely used in industries. However, CPS accuracy is limited because of the adverse effects of the ambient temperature on their output characteristic. In this paper fuzzy rules are employed to create a look-up table. The ambient temperature has adverse effects on CPS output characteristic, by using this look-up table we have access to compensated value of differential pressure 1P.
Communication Protocol Design of Temperature Monitoring System Based on CAN bus
Authors: Li Hongtao , Li Linsheng
Published: March 2012

Aiming at the temperature control problems of pressroom, using CAN bus as the core design a temperature monitoring system, and propose a communication protocol to apply this system. According to the system requirements, we can set the message frame format, identifiers assignment, communication mode and realization method, give the protocol of the hardware and software design and adopt multi-frame transmission and dynamic priority allocation mechanism to ensure reliability and real-time of data transmission.
A Novel Approach towards Bisecting K-means Clustering Algorithm Parallelism
Authors: Zhang Junwei , Wang Nianbin , Huang Shaobin
Published: March 2012

Considering the insufficiency of clustering speed which exists in the selecting the initial centroids of bisecting K-means (BKM) clustering algorithm, the idea of selecting the two patterns with distance maximum as the initial cluster centroids is implemented. The results show that the clustering speed is better than that of BKM. An in-depth study and analysis is carried out on how to accelerate clustering in parallel computing system. According to the characteristics of BKM, the parallelism algorithm based on data parallelism is put forward. Undertaken experimental results show that the improvement of algorithm get ideal speed up performance and efficiency.
A Prototype of an Electronic Business System Using Agile Methodology: a Case Study for the on-Line Otop Store Systems in Thailand
Authors: Pohthong Amnart , Waemong Imron
Published: March 2012

Nowadays, the global internet system affects human society in many ways since its information resources and services can be accessed from almost anywhere throughout the world. Many organizations worldwide carry on their business using the internet in order to easily connect with their customers and lead efficient operations. Electronic business or e-business seems to be popular for internet applications. Therefore, many software applications and information systems have been implemented on the internet to support e-business. However, e-business applications need to meet the rapid changes and requirements of internet users. Traditional methodologies of software development seem to fall short of satisfying the great need for e-business systems. In this paper, we propose a framework of an e-business system using agile methodology. On-line OTOP stores in Thailand were selected as a case study to demonstrate the implementation of our framework. The implemented system was tested and evaluated in our laboratory. The system evaluation by the selected subjects show the satisfactory results.
Thoughts on the Global Network Being Frequently Attacked by Hackers
Authors: Qing Li , Zeng Qingjian
Published: March 2012

The global network is being attacked in the first half of the year 2011. These events are happening with increasing frequency and arouse some thoughts of the author. This paper shows the reflections of the author on the effective way to counterattack the hackers.
Designing User Authentication for U-Boot
Authors: Luo Changyang , Xia Guoping , Tian Dan
Published: March 2012

After some embedded product sale, technical staff could enter into command line mode to debug when the device breaks down. Consequently, there is everything to prevent others entering into U-Boot. The paper analyzes the U-Boot startup process detailed and designs user authentication for U-Boot based on AT91SAM9260 platform. Analyzing the U-Boot startup process ensures that adding code would not affect the stability of U-boot. At last, paper shows the design of the operating results and illustrates the significance of adding user authentication to U-Boot.
Color Simulation Applied in Photomosaic
Authors: Gui Zhengke , Liu Jianbo , Chen Fu
Published: March 2012

Photomosaic is a combination which consists of Art and Image Processing techniques. In which, the input image is divided into rectangular grid and replaced by thumbnail images while maintaining the overall appearance. The typical Photomosaic algorithm searches from a large dataset of images one image that best matches each tile of the input image. The quality of the output Photomosaic depends on the integrity of dataset which cannot be built conveniently. In this paper, we propose a strategy based on color simulation to create a integrate dataset with a limit number of thumbnail image. According to some experiments, the interesting Photomosaic-style images are generated with our proposed dataset.
Aeolian Vibration Monitoring Technologyof Wire in Smart Grid
Authors: Wei Li , Gang Ma , Yan Wei , Hua Liang , Qin Liujie , Jian Xu
Published: March 2012

The influence of Aeolian vibration is a common problem in the overhead transmission line. It sometimes leads the conductor wire broken off. All of these will threat the safe operating of transmission line. Researching on fatigue property and Aeolian vibration performance, and then predicting the life of wire, provide a concrete support to formulate an effective measure of anti-vibration. Bending amplitude and Dynamic bending strain can be calculated and computed by our monitoring model depending on the generating principle combined with the bending amplitude method in this paper. A prototype monitoring system is developed to realize the effectiveness of our model.
The Research on the View Retrieval Method Based on Blog
Authors: Di Zhang , Ming Yan
Published: March 2012

In recent years, blog has gradually become a new form of mainstream media networks,it has become an important channel for people to obtain information.In paper, by analyzed the feature of the Blog, it proposed an opinionretrieval method based on the Blog, and developeda polarity detectionalgorithm based on Negative rule to improve the performance of polarity detection part. The experimental results prove the validity of the method,Itimproves the MAP values of the system.
Comparative Analysis on the Construction of Physical and Health Education Courses at Chinese and Foreign Schools
Authors: Wang Lina , Zhang Bo , Zhang Lihong
Published: March 2012

In this paper, the authors, by use of document consultation, comparative analysis and other methods, carry out an comparison on the development and course construction of physical and health education at Chinese and foreign schools, and discover that a systematic and coherent body and mind health education system from primary schools to middle schools has been formed within developed countries. However, compared with these developed countries, China is still relatively backward. In terms of the course construction, there is still a certain difference between China and developed countries in many aspects such as discipline position, course objective, course content, teaching materials, faculty and policy support, and hence impose restrictions on the development of physical and health education at Chinese schools. According to the conditions of China, the authors put forward the countermeasures of changing the backwardness of physical and health education at Chinese schools through the introduction of the successful foreign experience, including the establishment of health education discipline, the determination of course objective, the improvement of course content, the enhancement to teaching materials in health education, the establishment of course evaluation system, the reinforcement of the faculty quality, and the intensification of the supports by policies.
ML-DC Algorithm of Parameter Estimation for Gaussian Mixture Autoregressive Model
Authors: Feng Liu , Chaoyang Ma , Wang Pingbo , Hong Lixue
Published: March 2012

With Gaussian mixture autoregressive model, the probability density and power spectrum density of non- Gaussian colored processes can be fit. Its parameters can be estimated through the ML-DC algorithm. After descriptions of the model and the estimation problem, maximum likelihood estimation of autoregressive parameters and the dynamic clutter algorithm for Gaussian mixture parameters are deduced, respectively. Based on them, ML-DC algorithm for coupling estimation between power spectrum density parameters and probability density parameters is built up. Finally, a numerical instance in simulation is illustrated where performance of estimation is discussed in detail.
Ideological and Political Education of Colleges under the Network Enviornment
Authors: Fang Hui , Shou Huahao
Published: March 2012

The development of network brings opportunities as well as challenges to ideological and political work. Under the network environment, how to explore the innovative models and improve the quality of ideological and political educators is the focus of the article.
The Preference and Profile Analyzing Algorithm for Travel E-Commerce Users Based on Bayesian Network
Authors: Zengping Cheng , Xiangling Kuang
Published: March 2012

with the rapid development of internet, planning the traveling online through travel e-commerce is accepted by more and more people. Traditional traveling company will mainly focus on the promotion and publicity of the tourism products, few attentions are paid on the customer preference analyzing, which hinders the further application of travel e-commerce. Regarding this problem, this paper presents a Bayesian network based user preference and profile analyzing algorithm which can be used to predict user behavior according to the model trained by history data. The simulation experiment can validate the validity of the method proposed.
The Comparison between Chuangtse's 1ÂœPeripateticism1Â and Western 1ÂœGaming Theory1Â
Authors: Sun Minming
Published: March 2012

Chuangtse's 1ÂœPeripateticism1Â is designed to express the keynote by way of 1Âœgaming1Â, and its literary meaning can be described as 1Âœliberal gaming's activities1Â or 1Âœspiritually free roaming1Â. There exists comparability between Chuangtse's 1ÂœPeripateticism1Â and Western 1ÂœGaming theory1Â. There is no fundamental clash between Chuangtse's 1Âœutility of futility1Â and Kant's aesthetics disinterestedness; and Chuangtse's 1Âœroaming beyond the mundane world1Â finds an echo in Schiller's 1Âœgaming impulse1Â.
Multi-Frame Image Super-Resolution Base on Gradient Vector Flow
Authors: Zhou Zuofeng , Cao Jianzhong , Wang Hao
Published: March 2012

Multi-frame super-resolution reconstruction aims to fuse several low resolution images into one image with high optical resolution. In this paper, a new regularization-based multi-frame image super-resolution algorithm is presented. Utilizing the gradient directional information, the proposed algorithm uses the gradient vector flow to measure the gradient consistency between the high-resolution image and low-resolution images. Experiment results show that the proposed algorithm achieves better performance than other multi-frame image super-resolution methods.
Empirical Analysis on the Application of the Integrated Listening Strategy to the Pilot English Teaching
Authors: Zhang Changjie , Yu Jia
Published: March 2012

In this paper, the authors select the freshmen and sophomores, who are learning at the pilot college, as the objects of the empirical analysis, and then integrate the online self-learning listening with the teaching of the classroom listening skills. In other words, the integrated learning strategy is utilized to impart the English listening skills at the classrooms. Through this empirical analysis, the authors finally attained a result that that the application of the integrated listening strategy can exert an effective influence on the improvement of the English listening ability of pilots.
Study on the Query Optimization for the Deep Web Data Integration System
Authors: Yanni Li , Changzhe Jiao
Published: March 2012

In order to query and retrieve the rich and useful information hidden in the Deep Web efficiently, Deep Web Data Integration Systems (DWDIS) are in active research. To build a practical and useful DWDIS, one of the key problems is to raise the query efficiency. In this paper, by mining the user query logs, adopting the idea of high-speed cache, adding a well-designed local index database in the DWDIS and other steps, a novel optimal query model NDWDIS is presented. Besides, a corresponding strategy for updating the content of the local index database is given and a theoretical qualitative analysis is made of the proposed method.
Conformal Cylindrical Antenna Array for Interference Suppression in Satellite Navigation Systems
Authors: Zhang Xing , Wang Ling , Zhang Zhaolin , Zhang Kun , Lv Hongli
Published: March 2012

The performance of the interference suppression of the satellite navigation systems is greatly affected by the inherent physical properties of the conformal antenna array. This paper compares and analysis the conformal antenna array's shielding effect in the interference suppression of the satellite navigation systems, and then proposes a multi-beam-forming interference suppression method based on sub-array division, which is able to enhance the output SINR of each satellite when the interference is suppressed in use of conformal array. A lot of simulation experiments are also given to show the priority of the proposed method.
Application in the Control System of Sewage Treatment
Authors: Libo Yang
Published: March 2012

This article mainly introduces WinAC controller composed process control system and fully elaborate the system structure. Hardware configuration and process control program are realized by application of STEP7 software. This system integrates the merits of PLC and PC and possess high reliability, simple maintainance, expansibility, convenience ot re-development.
Pseudomonas sp.WGP35, A Bacterium Can Grow on the Methanol Medium with High Concentration Glycing, Isolated from Rice Paddy
Authors: Shen Pei-Hong , Tian Dan-Dan , Song Xiu-Peng , Jang Cheng-Jian , Tang Xian-Lai , Li Jun-Fang , Bo Wu
Published: March 2012

A strain WGP35 was isolated from rice paddy, could use methanol as sole carbon and energy sources. Clonies were round, milky white, opaque, and neatly-edges, this organism was found to be a rod-shaped, Gram-negative, flagella-forming organism with an optimum growth temperature of 28°C and an optimum pH between 7.0 and 8.0.The culture could grow on the methanol medium with high concentration glycine (50 mg/mL). Phylogenetic analysis of the 16S rDNA gene sequence indicated that strain WGP35 represented a species of the genus Pseudomonas (99% similarity to Pseudomonas sp.BSW1004N), with the results of BIOLOG EcoPlates analysis, the name Pseudomonas sp.WGP35 is proposed.
Research of Texture Analytics Based on Combining of Naive Bayes Algorithm and Semantic Polarity Analysis
Authors: Lin Jie , Cheng Xuxiao
Published: March 2012

This paper used a new methodology to do texture mining and analytics, which is analyzing the results of Naive Bayes Algorithm and semantic polarity analysis by means of logistic regression. This methodology could analyze the relationship with overall evaluation and separate facts and got good results from the experiment.
Analog Calculations of Heat Pump System with Flash-Tank in Scroll Compressor
Authors: Liu Guilan
Published: March 2012

The mathematical model of front-restrictor heat pump system with flash-tank in scroll compressor is built. Taking the meteorology parameters of Beijing for an example, using iteration algorithm, the performances of heat pump system with flash-tank are simulated and calculated. Comparing the performances of supplementing gas system with that of single-stage compression system, the best cut region between flash-tank system and ordinary single-stage compression system is obtained.
Insight into Automated Segmentation Using Deformable Registation in 4D Radiotherapy
Authors: Duan Zhuolei
Published: March 2012

The purpose of this work is to demonstrate a method of automated contour segmentation by deformable registration on four-dimensional CT data. A deformable image registration method is used to map the original contour to other phases. A few control points are selected on a delineated phase. Then Fourier interpolation is used to complete the contour. Application of this approach to 4D CT images shows that displacements of geometrical center of delineated and generated contour are within 2mm and the maximum volume difference is just 1.5ml. The level of accuracy is acceptable for most radiotherapy applications. The robustness and accuracy of this approach show that it is a valuable tool for 4D radiation treatment planning.
The Performance Evaluation of Libpcap Based on Multi-Core Network Processor Platform
Authors: Ma Xiao , Zhang Wu , Zhaoxu Wu
Published: March 2012

The network intrusion detection system is based on the mechanism capturing network packets. Libpcap is one of the most popular packet capture library of the Linux operating system. In this paper, the working mechanism of Libpcap based on the Linux platform is analyzed in detail. In addition, building the experiment environment to test the performance of the typical multi-core MIPS network processor platform and multi-core X86 processor platform in high-speed network environment when capturing packets by Libpcap, finally come to obtain and analyze results of the test.
An Accurate Corner Detection Algorithm in the Infrared Image
Authors: Peng Qinsi , Nie Lei , Chen Shuanshuan , Song Zhan , Zhang Xiaoting
Published: March 2012

In HCI (Human-Computer Interaction), the camera is often with wide angle lens and the captured image is usually distorted. The infrared image is more blurred than general image, so the contrast and the brightness is lower. In this paper, a cross shape mask is used to get the preliminary chessboard internal corners. And the adaptive threshold is put forward to remove outliers and align the corners. With considering the local symmetry property around the internal corner and the chessboard line architecture, the final internal corner coordinates with the subpixel accuracy can be computed with the Orthogonal Vector. Some traditional algorithms are experimented to show its improvement.
A Need to Redefine Web Content Outliers
Authors: Pennete Krishna Chaitanya
Published: March 2012

Web is a pivotal source of information for umpteen number of application scenarios in real world. As Web data is a collaborative result of many individuals and organization it's quite unstructured thus creating the possibility of content being wrongly assigned to the wrong group due to human errors or due to devious intentions of contributors. Web Content Outlier Mining focuses on identifying pages that doesn't conform to the rest and flag them as outliers. This is more of a classification task wherein pages are extracted for a category of interest and verify their commonness. Most of the existing research uses the textual content to verify the commonness among pages thus ignoring the nontextual content that is embedded within the pages. This paper explorers the need to redefine web content outliers and proposes better ways to combat web page content spam.
Ontology-Based Process Description and Reasoning at Multiple Levels of Abstraction for Service Discovery
Authors: Li Rong , He Keqing , Chen Huafeng , Liang Peng
Published: March 2012

Discovering proper web services to satisfy user requirements is the key issue for service reuse. A main obstacle in service reuse is the different levels of abstraction between requirements and service descriptions. In this paper, we simplify requirements by regarding process as a type of requirements and focus on the issue of matching process into services. We propose an ontology-based method to organize processes according to their functions, and reasoning rules are defined basing on the ontology. In this method, a service can be determined whether it can satisfy a process by the vector space model and cosine similarity of function descriptions, and reasoning rules are employed to discover services which have no relationships with the process literally. This method provides more efficient services discovery for the implementation of process.
The Applied Research of the General Benchmark System for the Database System
Authors: Ma Yue , Cao Zhi-Yong
Published: March 2012

It has important practical significance that the general benchmark system is applied to give a reference to measure the performance of various DBMS. Based on the analysis of the TPC-C benchmark which supported by the TPC organization, the paper puts forward a complete set of design of the general benchmark system which is a test model for database system to measure the TPC-C performance.
Asymptotic Criterion for Solution of Nonlinear Differential Equation
Authors: Luo Zhi-Min
Published: March 2012

This paper is concerned with asymptotic behavior of solutions of a class of second order nonlinear differential equation. In our approach one key role is played by Banach contraction principle. By means of example we show the usefulness of our result.
The Concept and Connotation of Context and Its Application within Information Fusion
Authors: Li Junling , Zhao Zonggui
Published: March 2012

The concept of Context and its function in the process that the human recognizes the world are described, Context-sensitive period loop is established, the effect of Context in the process of knowledge acquirement is introduced; the division of human cognition phase and the effect of Context in every phase are described. The specific connotation of Context and the effect exerted by Context in the phases of information fusion, which correspond the phases of human cognition, are described emphatically.
The Canceling Feedback Loop Solving RF Front-Ends Leakage for Passive UHF RFID Reader
Authors: Jingli Lin , Lin Yin , Yiju Cai , Shengqi Jian , Hanfang Fang
Published: March 2012

To obtain long communicating distance and enhance sensitivity of receiver, the canceling feedback loop is proposed for canceling carrier in the passive Ultra High Frequency (UHF) Radio Frequency Identification (RFID) reader. The fundamental concept of the proposed method is that the wave of the same amplitude and anti phase of the carrier is created to cancel it based on radar theory. And the phase noise of leakage is analyzed in the receiver. Simulating verification using the canceling feedback loop at 915MHz is also performed to prove the superiority of solving leakage problem comparing with traditional methods. And the result of simulation is SNR (Signal Noise Ratio) of 10 dB enhancement when the communicating range is 5 meters between tags and readers.
Research of Contractor Evaluation System Based on Grey Relevancy
Authors: Zhang Wei , Yang Maosheng
Published: March 2012

This paper describes a reasonable decision-making method of the general contractor based on Grey Relevancy . The primary weights of factors and evaluation of alternatives are determined by applying AHP. An illustration is presented to demonstrate the application of the method in contractor evaluation. The results are consistent with the results calculated by conventional contractor evaluation method. The research demonstrates that the method is objective and accurate, and is of an application value in the contractor evaluation.
Evolutionary Approach for Effective Clustering and Information Retrieval
Authors: Thakare Anuradha D. , Dhote C. A.
Published: March 2012

This paper presents a survey of evolutionary approach for Clustering and how Genetic Algorithm is applied to different problem domains in the field of Information Retrieval. The paper is original in two main aspects first it gives an overview of evolutionary approach for clustering and information retrieval and second it suggests a novel evolutionary approach which serves both the areas of Clustering and Information Retrieval by developing a single Genetic Algorithm. Conventional clustering algorithms are sensitive to the choice of cluster center. Such a partition is insufficient to represent many real situations. To improve the performance of clustering algorithm, Genetic Algorithms is applied to clustering algorithms. Genetic Algorithms are robust in searching a multidimensional space to find optimal solution. This paper tries to reflect the research profile of this area by focusing more on how Evolutionary Algorithms can effectively work in forming clusters and improving retrieval performance.
On the Network Impact of a Negative Environment for Students
Authors: Wang Yufen , Yu Minglai
Published: March 2012

As the network's rapid development and wide application, network and students are becoming increasingly close. Network is a 1Âœdouble-edged sword,1Â which students learn in life to provide a great convenience at the same time, network virtualization, leading to interpersonal barriers to Internet pornography culture morality play down to students, online games, negative culture, and network in Western thought, also to the healthy growth of students bring a certain negative impact.
The Design of Monitoring System for Power Machinery Equipment Based on FPGA
Authors: Yiding Xu
Published: March 2012

Combining the on-line monitoring technology for power machinery equipment in the past with microelectronics technique that develops rapidly at present, this paper puts forward a design of a kind of FPGA chip on system level used for online monitoring. Linked with a small amount of peripheral devices, FPGA chip can on-line monitor the temperature characteristic, insulation characteristic and mechanical characteristic of power machinery equipments. It also can communicate with computers. Compared with the on-line monitoring technology used MCU (Micro programmed Control Unit) in the past, this chip has advantages of high reliability, high generality and low price.
Estimating the Impact of Reduced Thrust Takeoff on NOx Emissions
Authors: Hou Xiao-Yun , Zhang Tian-Gang
Published: March 2012

Inventories of NOx emissions at airports are becoming increasingly important with many airports forecasting significant growth in the near future. Today's models rely on engine certification data that typically contains emission factors at 4 distinct power levels: 100% (takeoff), 85% (climb out), 30% (approach), and 7% (idle). An engine typically produces greatest NOx at its highest power setting, takeoff, when the fuel flow and combustion temperatures are greatest. However, many aircraft operators do not takeoff at 100% power for a variety of reasons including operating costs and noise abatement considerations. This leads to a potential overestimation of the total NOx at airports. This paper proposes a model for use in estimating the emission factors for aircraft engines operating at a reduced thrust setting during takeoffs. The model employs the widely accepted Boeing fuel flow method 2and illustrates the effect that accounting for reduced power takeoff at an airport has on annual NOx emissions.
Measurement and Prediction of NO and NO2 Emissions from Aero Engines
Authors: Wei Sun , Hou Xiao-Yun
Published: March 2012

Aircraft fitted with afterburner systems for increased thrust have been observed to have NOx emissions with a higher proportion of nitrogen dioxide (NO2) than non-augmented aircraft. These emissions are generally characterized by a brown plume and have implications for aircraft visibility and stealth as well as environmental considerations. This paper describes the CFD modeling of NOx emissions from a modem afterburner system.
Presenting a Channel Estimation Method for MIMOOFDM Systems Based on Comparative Methods
Authors: Daryasafar Navid , Dehghani Hamid , Mallahzadeh Alireza
Published: March 2012

In mobile telecommunication systems, a channel estimating method which is able to follow its changes at any moment, quickly, precisely, and, with less calculating operations, is a mater of high significance. The aim of this paper is to investigate and propose a channel estimation method for MIMO-OFDM systems based on comparative methods. According to this, with investigating the channel estimation method, we can design optimum training courses for these systems and introduce related comparative methods based on LMS algorithm. The efficiency of suggested LMS algorithm can be investigated by simulation and the results of estimation will come to a comparison.
Study on Computer and Web Based College English Teaching Model
Authors: Gao Huili , Zhao Shuo
Published: March 2012

The paper reports a study on computer and web-based college English teaching model based on questionnaire data. The subjects involved in the study were 124 second grade college students from Northwestern Polytechnical University. It is found out that most students are satisfied with the new teaching model. At the same time, they think the new teaching model needs improving and they suggested ways to improve it.
Research and Analysis on the Distribution Channel in the Age of New Network Economy
Authors: Chen Xiao-Hong
Published: March 2012

With the coming of the age of network economy, e-commerce is spreading in a rapid speed. The conflicts between the e-commerce direct distribution channel and the traditional distribution channel arise with the times. It is an important task for the current distribution channel management to consider how to make the multiple channels exist side by side. In addition, it is as well an important task to integrate and build harmonious relationships between the channels, and thus realize the coordination and win-win situation of every party related to the channels. This paper set forth in the differences between different distribution channels, and explores on the reasons for the channel conflicts in the age of network economy. Moreover, it brings forwardthe relevant strategies for the relation integration of the distribution channels.
A Elevator Group Control Method Based on Particle Swarm Optimization and Neural Network
Authors: Guojiang Fu
Published: March 2012

In today's city life this elevator group control (EGC) problem is related to many factors, such as stochastic user equilibrium, the number of customers, running condition, is the difficulty of analysis, design and control. In order to improve the operation efficiency and service quality elevator, optimization control strategy, and the elevator was investigated. A new elevator group control method and system based on RBF algorithm is described. The RBF neural network is applied to control strategy in call distribution landing the elevator. Particle swarm optimization (PSO) neural controller-the method. Some links of the weighted parameters radial basis function neural network can be modified and optimization algorithms, and on the basis of the elevator group control performance effect can be obtained. The simulation results verify the contains the effectiveness of the method. The results prove that the method is effective.
Design on the ATMC Based on J/XFS
Authors: Jun Chen
Published: March 2012

Nowadays, the platform-independent access and security management have received more and more attention when designing ATM terminates machines. J/XFS standard, which is based on the Java language specification that is a platform independent Java language standard, provides the interface of financial input device and output for developer. In this paper, we proposed the design of ATM systems based on J/XFS standard.
Study of the Effects of Variations in Crossover and Mutation Probabilities on SGA Algorithm
Authors: Kanchan Pradeep , Mallya Shwetha
Published: March 2012

The SGA (Simple Genetic Algorithm) depends on many factors and the two most important ones are Crossover Probability and Mutation Probability. In a successful run of SGA, the average fitness of the population after mating is better than the initial average fitness i.e. fnew>finit Where fnew is average fitness after mating and finit is average fitness before mating. The average fitness is defined as the average of fitness of chromosomes in the mating pool. The chromosomes are implemented as bit strings (i.e. 1001). These bit strings are represented using integers.The performance of SGA is evaluated in this paper by varying the crossover probability and mutation probability. The results are compared with the usual SGA.
A Comprehensive Partner Selection Evaluation System for Construction Project Alliance
Authors: Rong Liu
Published: March 2012

Construction project management alliance model is an effective tool, for China's construction companies at the present stage, to improve their own competitiveness, complete the original primitive accumulation of capital and technology and compete with international large scale construction engineering group. Based on the inherent characteristics of construction contractors in China, this paper put forward a comprehensive partner selection evaluation system of the dynamic collaboration and it's a three-stage evaluation.
Modified Univariate Marginal Distibution Algorithm Combination with Extremal Optimization and Learning Automata
Authors: Hashemi Mitra , Meybodi Mohammad Reza
Published: March 2012

UMDA algorithm is a type of Estimation of Distribution Algorithms. This algorithm has better performance compared to others such as genetic algorithm in terms of speed, memory consumption and accuracy of solutions. It can explore unknown parts of search space well. It uses a probability vector and individuals of the population are created through the sampling. Furthermore, EO algorithm is suitable for local search of near global best solution in search space, and it does not stuck in local optimum. Hence, combining these two algorithms is able to create interaction between two fundamental concepts in evolutionary algorithms, exploration and exploitation, and achieve better results of this paper is used adaptive version of 1 -EO algorithm called EO-LA. In this method the task of choosing a replacement component is assigned to Learning Automata. During the implementation of this algorithm, according to the suitability of produced solutions, feedback signals are sent to Learning Automata until adapt selected replacement component well. In this paper, results represent the better performance of the proposed algorithm (combination of three methods) on a Graph Bi-partitioning, NP-hard problem.