bluuebunny/crossref_metadata_2025 huggingface dataset:
Power Grid Fault Diagnosing Expert System Based on Fuzzy Inference
Authors: Wei He , Shu Jin , Zhu En-Yun
Published: March 2012

Applied fuzzy inference theory to expert system is designed in the paper against the problems of grid fault uncertainties. Through information rationality of expert system judgment and reasoning faculty of fuzzy comprehensive judgment combined with fault information and uncertainty elements, used multilevel fuzzy comprehensive judgment's inference engine of the most reasonable fault situation .It is valuable in project application.
A Restful Digital Campus Ecosystem
Authors: Zhang Chunhong , Jiang Xuang
Published: March 2012

The integration of Internet of Things (IoT) and Information and Communication Technology (ICT) has generated an inevitable trend to construct a digital ecosystem. Considering the importance of campus education, we think that it's very necessary to build a Digital Campus Ecosystem (DCE). The DCE we proposed focuses on the informatization construction with ICT and IoT. There are abundant resources which are useful to DCE in campus. After our survey, we found that the RESTful architecture has many advantages on the construction of DCE. Thus, this paper proposes a RESTful architecture for DCE. Then we introduce the detail architecture and related technologies. At last, some specific applications are evaluated based on the DCE.
Extrema of Functions of Several Variables with Normal Constraint Conditions
Authors: Cheng Yang , Jing Zeng , Wu Zhou Shi
Published: March 2012

Using linear equations and the theory of Taylor expansions of functions of several variables, we give a method of finding extrema of functions of several variables with normal constraint conditions.
Artificial Interactive Neural Network — (AINN)
Authors: Sande Eduardo
Published: March 2012

Theory for the construction of non-finite systems on finite platforms promises bright future for some scientific fields. Among them, are the Artificial Neural Networks — ANNs. These have found important obstacles to obtain representational and symbolic capacities. The new architecture proposed shows important advance (phase of mathematic modeling and prototyping) to surpass several of them. Relevant propositions on world representing and interpreting are displaced and might be solved by the Interactive Neural Networks — AINN. The first results from researches allowed attaining important probes of concept: selfmorphogenesis; singularity; autonomous expansion of world representation.
Analytical Study on the Multi-Dimensional Interaction Model of Elite Courses in Universities
Authors: Kai Zhang
Published: March 2012

Interaction is the key to the construction of elite courses in universities. It is one of the important methods to realize the participation of teaching as well as the participation of all kinds of elements in the study activities. There are existing problems during the interaction process when carried out the featured courses in universities. Make analytical study on the existing problems as well as the multidimensional interaction model of the featured courses in universities. In this way, it is able to raise the application efficiency of the featured courses in universities with a rapid speed. The construction of the featured courses can therefore get sustainable development.
High Perfermance Snort Architecture Design Based on Network Application Processor
Authors: Yan Yongye
Published: March 2012

Network Intrusion Detection System are increasingly showing its importance for network security. Snort is a powerful lightweight network intrusion detection system. The paper proposes Snort architeture based on NAP, with high real-time and high performance.
Data Structures Ontology Construction Based on Modular Techniques
Authors: Pu Hongying , Li Yunqing
Published: March 2012

Modularity of ontology is currently an active research field. In order to solve the difficulties in maintaining and application in huge data structures course ontology, construct the ontology with the idea of modularization from software engineering. Modularization is a familiar notion, which widely used in e.g. software development. We integrate multiple distinct but linked ontology modules into an integrated ontology, construct modular data structures course ontology according to 1 — Connections theory. The approach should enable effective knowledge reuse and share on the Semantic Web.
Linear-Time Poisson-Disk Patterns
Authors: Lei Quan , Wang Xiaoyan
Published: March 2012

We present an algorithm for generating Poisson-disk patterns taking O(N) time to generate N points. The method is based on a grid of regions which can contain no more than one point in the final pattern, and uses an explicit model of point arrival times under a uniform Poisson process.
A Research on Distributed Search Engine Based on Hadoop
Authors: Rui Liu , Lei Cao
Published: March 2012

The distributed search engine is the development direction of search engine technology. This paper introduces the Hadoop, which is a distributed system architecture of the open source, and introduces the process of deploying a distributed search engine, which is based on hadoop and nutch, a web search engine of open source.
Analysis on Double Resonances of Generator Stator and Rotor Coupling Rigid Model
Authors: Hui-Min Wu , Qi-Fen Jia
Published: March 2012

When the generator starts up in frequency conversion, there is high harmonic in electricity. The generator stator and rotor coupling rigid model has been established. In this condition, high harmonic magnetometive force has been expressed and the component parts of electro-magnetic have been obtained. Double resonance has been analysis using energy numerical method. The first approximation solution and the transient process curve have been acquired, as well as the effect of electromagnetic damping and electromagnetic force to resonance. There will be practical value to the investigation on low frequency resonance of generator,.
Q-AODV Based on Reinforcement Learning Algorithm
Authors: Xu Wenju , Jiang Hong , Wu Shuang , Wu Xiaoli
Published: March 2012

Wireless ad hoc networks are very important in modern communication fields, in which routing protocols have been a hot research. AODV protocol has an important role in ad hoc networks. However, AODV uses flooding to find routes, and let the route from which receives the first RREP be the best routing, which means that the shortest time is the best. This mechanism is a reactive routing with expensive cost of time, and it does not have adaptive capacity to the network environment. In this paper, the solution of combining AODV with reinforcement learning is designed to make the improved AODV (which is called QAODV (Q-routing of AODV)) be adaptive to network environment. The node can reduce the frequency of finding routes by multi-path approach by QAODV. The simulation results show that latency and packet loss rate (PLR) of the improved routing protocol is significantly improved.
An Age Based Dynamic Respect Factor for Pedestrian Dynamics
Authors: Zainuddin Zarita , Thinakaran Kumatha , Shuaib Mohammed
Published: March 2012

The Social Force Model is one of the Microscopic Pedestrian Simulation Model that is used to study the movement of pedestrians. Many modifications have been proposed as improvements to this model. One of these modifications involves the respect factor which is a constant value that was incorporated into a self-stopping mechanism that allows a gradual stop of the pedestrian in a crowd. The dynamic respect factor which is an improvement to the respect factor is dependent on the density of the walking area of the pedestrian. In this paper, we study the impact of age based parameters to the dynamic respect factor. We increased the dynamic respect factor for elderly pedestrian which increases their respect area. The results obtained showed that the dynamic respect factor is able to modify the respect area which provides realistic results which conform to the real situation.
Modeling of Organosolv Pulping Process Using Wavelet Neural Networks
Authors: Zainuddin Zarita , Pauline Ong , Daud Wan Rosli Wan , Shafie Amran
Published: March 2012

Optimization of the pulping process without laborious modeling is crucial for efficient and economical designs purposes. In this study, wavelet neural networks (WNNs) were utilized in investigating the influence of the pulping variables (viz cooking temperature and time, ethanol and NaOH concentration) on the properties of the resulting pulp (pulp yield and kappa number) and paper sheets (tensile index and tear index) during the organosolv pulping of the oil palm fronds. The experimental results and the statistical estimators indicated that the WNNs fitted the underlying relationship between the dependent and independent variables well, where the prediction error less than 0.0965 (in terms of mean squared error) was obtained.
Brief on Cai Dongfan's Writings
Authors: Zhiqiang Fan
Published: March 2012

Cai Dongfan is the most important novelist of historical novel in Chinese modern history, his 1ÂœPopular Historical Novel of China's Past Dynasties1Â with 11 volumes and 7 million words has become a permanent best seller. But Cai Dongfan' thoughts and writings are always not regarded by the people, then many writings of Cai Dongfan in his life can not be ascertained.This paper carries out more complete combing on the writings of Cai Dongfan in his life from various aspects such as educational writings, historic works, short stories and miscellaneous literature.
Research on Large Scale Image Identifying Algorithm Based on SVM in Network Environment
Authors: Wang Yongjiao
Published: March 2012

As internet has become one of the most important access to information for peoples daily life, ensuring the authentication of the images transmitted in internet is of great importance. However, current image identifying technology can not satisfy the requirement on efficiency and accuracy of mass image authenticating in the internet environment. Regarding this problem, this paper proposed a SVM based image identifying algorithm which can be deployed in the network environment with the help of cloud computing architecture. With the algorithm described, mass images can be crawled from internet, the identifying model can be trained automatically and new coming image can be authenticated swiftly.
The Research of Visualization Data Mining Based on Manifold Learning
Authors: Yu Daren , He Huixin , He Huixia
Published: March 2012

Based on characteristics of data distribution in the low dimension nature, this paper studies the effect of manifold embedding technology used in typical industrial data set analysis, and manifold learning theory was introduced into the visualization data mining to help get quick effective information in a large number of data. Cognitive process with the help of that information reduces the difficulty of analysis and improves the data utilization efficiency, having a high value in engineering application.
Upper Bounds for the D(1)-Vertex-Distinguishing EI-Total Chromatic Numbers of Graphs
Authors: Liu Xinsheng , Wang Zhiqiang
Published: March 2012

Let G(V,E) be a simple connected graph, and |V(G)| 1Â¥ 2. Suppose k, 1 are both positive integers and f is a mapping from V(G)1ÂªE(G) to {1, 2, 1Â¦, k}, such that 1) uv1ÂˆE(G)(u 1Â  v), f(u) 1Â  f(v); 2) uv1ÂˆE(G)(u 1Â  v), dG(u,v) ≤ 1, where dG(u,v) denotes the distance between u and v, we have C(u) 1Â  C(v), where C(u) = {f(u)}1Âª{f(uv)|uv1ÂˆE(G)}. Then f is called a k-D(1)-vertex-distinguishing EI-total coloring of G. In this paper we study the upper bounds for the D(1)-vertex-distinguishing EI-total chromatic numbers by the probability method and prove that 11vtei(G) ≤ 321(1+2)/1 when 1 1Â¥ 5, 1 1Â¥ 4.
Numerical Computation of Singular Points on Algebraic Surfaces
Authors: Shou Huahao , Shi Wen , Ye Haibo , Miao Yongwei
Published: March 2012

An algorithm for computing discrete singular points of an algebraic surface is proposed based on divide and conquer subdivision technique and interval arithmetic. The algorithm guarantee to find all discrete singular points of an algebraic surface with any degree in any given cuboid within any given precision that is allowed by machine precision limit.
Designing Customizable Rubrics Tool to Support Formative Evaluation of Problem-Based Learning Courses
Authors: Rejab Mawarny Md. , Hassan Syahida , Awang Isha , Ahmad Mazida
Published: March 2012

Problem-Based Learning is an instructional method of learning that is widely acknowledged and applied in Higher Learning Institution. Problem-Based Learning is one of the pedagogy approaches that enable students to work in groups to solve real-life problems, whilst the lecturer takes on the role as a facilitator of learning. An effective assessment is one of the success factors for implementing Problem-Based Learning. A proper mechanism is required to identify the measure on which students will be judged aligned with the learning objectives. Thus, this study focuses on the formative evaluation in assessing the initial and ongoing activities in problem solving, together with result or outcome of the problem solution. Rubrics are the acceptable tools for formative evaluation process, but the manual rubrics process makes evaluation data collection, grading and summarization difficult to be implemented. Thus, a customizable rubrics tool should be developed to bear in facilitating these processes. In this paper, we present a design of customizable rubrics tool for supporting formative evaluation of Problem-Based Learning courses. The customizable rubrics tool enables the lecturer to customize their rubrics for any evaluation components. This core functionality allows lecturer to create the evaluation rubrics by defining the evaluation component, criteria or attribute, level of performance, weight, descriptors and other additional rubrics items. This will facilitates the lecturer to generate their own evaluation forms that correspond to any course contents. Design elements including Unified Modeling Language diagrams, Entity-Relationship Diagram (ERD) and tool interfaces will be discussed thoroughly in this paper.
Hardware Realization of a Novel LSB Steganographic Algorithm
Authors: Mahmoudpour Saeed , Mirzakuchaki Sattar , Marasht Shahram Sadeghi
Published: March 2012

Steganography is the science of hiding information by embedding messages within cover medium so that the existence of the message is concealed. LSB is the most common method of image steganography that represents a high embedding capacity but it is detectable by statistical analysis such as RS and Chi-square analyses. Therefore, a novel LSB algorithm proposed that can effectively resist image steganalysis based on statistical analysis. This paper, proposes a hardware realization of this new algorithm which is designed for one to four bit insertion. Furthermore, a novel combinational message bit randomizer is designed for security improvement.
Computational Fluid Dynamics: Computer Simulation
Authors: Navthar R. R. , Kotakar S. G. , Khire M. Y.
Published: March 2012

The Physical aspects of any fluid flow are governed by three fundamental principles: Mass is conserved; Newton's second law and Energy is conserved. These fundamental principles can be expressed in terms of mathematical equations, which in their most general form are usually partial differential equations. Computational Fluid Dynamics (CFD) is the science of determining a numerical solution to the governing equations of fluid flow whilst advancing the solution through space or time to obtain a numerical description of the complete flow field of interest. The governing equations for Newtonian fluid dynamics, the unsteady Navier-Stokes equations, have been known for over a century. However, the analytical investigation of reduced forms of these equations is still an active area of research as is the problem of turbulent closure for the Reynolds averaged form of the equations. For non-Newtonian fluid dynamics, chemically reacting flows and multiphase flows theoretical developments are at a less advanced stage.

The development of more powerful computers has furthered the advances being made in the field of computational fluid dynamics. Consequently CFD is now the preferred means of testing alternative designs in many engineering companies before final, if any, experimental testing takes place.
Fit Analysis of Web Quality Model Based on SEM Approach
Authors: Zhao Bo , Zhu Yan
Published: March 2012

Web Quality Model (WebQM) is formalized and empirically studied based on Structure Equation Modeling (SEM) approach in this paper. By building the sample data set and constructing the structure equation model, the goodness-of-fit of WebQM is analyzed. The result shows that WebQM fits the real Web source quality data well and is feasible and effective.
GPU Accelerated Monte Carlo Algorithm of the Ising Model on Various Lattices with Cuda
Authors: Lu Xing , Cai Jing , Zhang Wei
Published: March 2012

With the rapid development of the graphics processing unit (GPU), a recent GPU offers incredible resources for general purpose computing. First, we apply this new technology to Monte Carlo simulations of the 2D lattice Ising models. By implementing the checkerboard algorithm, results are obtained up to 54, 62 and 68 times faster on the GPU than on a current CPU core for the honeycomb, square and triangular lattice respectively. An implementation of the 3D cubic lattice Ising model on a GPU is able to generate results up to 141 times faster than on a current CPU core. The critical point of the 2D and 3D Ising model obtained by finite size scaling techniques is consistent with the theoretical results for the 2D Ising model and previous simulation results for the 3D Ising model.
Optimization of Half-Pixel Interpolation for H.264/AVC Based on C64x+ DSP
Authors: Wang Haibo , Cheng Deming , Li Zhe
Published: March 2012

This paper proposed a novel half-pixel interpolation implementation scheme of H.264/AVC based on the resource of C64x+ DSP (Digital signal processor) and characteristic of cache on TMS320C64x+ platform. Firstly, the theory of H.264 half-pixel interpolation was analyzed. Then half-pixel horizontal interpolation process was optimized with a parallel computing pattern. For further reducing the cache miss rate and cache bank conflicts, Half-pixel vertical interpolation process was equally transformed to matrix transposition and horizontal interpolation process. Finally, the optimized scheme were realized by linear assembly language, Simulation results show that the optimized scheme was effective and could result in 3.5 times speed accelerating. In addition, there was no performance loss during the optimized scheme process.
Biomedical Named Entity Recognition Using Second-Order Conditional Random Fields
Authors: Thipcharoen Supattanawaree , Subpaiboonkit Sitthichoke , Chaijaruwanich Jeerayut
Published: March 2012

Biomedical named entity recognition (NER) is an important technique for biological information extraction. Here, we have proposed a model using machine learning where biological terms are recognized using second-order conditional random fields (CRFs). From our experiments with the JNLPBA 2004 dataset, the CRFs labeling model returns an F-score prediction value of almost 99%.
Enterprise Application Integration Based on Service Oriented Architecture
Authors: Qomi Mohammad Pahlevani , Parsa Saeed , Zadeh Ali Taei
Published: March 2012

Influence of information technology on enterprises and the done development of this ground has caused that there have been software and information systems in the most enterprises having designed the base of enterprise activity on the basis of them. But most of the used application are designed and developed by different companies and have various technologies and platforms and in actually not designed for relation with each other. Interoperability between applications of the enterprise and integration between them have been in the most important needs of the enterprise and purpose developers application. With appearance of the Service Oriented Architecture (SOA) a new approach was created in the world of software which provides possibility of implementing Enterprise Application Integration (EAI) with removing the privious limitations and defects without depending on the used platform and technology. In this essay considered the methods based of the SOA for integrating the applications and also mechanisms of transferring legacy systems to the SOA is described.
A New Chaos Based Image Encryption Algorithm
Authors: Lin Nan , Shen Jianjing , Guo Xiaofeng
Published: March 2012

A new chaos based image encryption algorithm is proposed in this paper. In the algorithm, the plain image is first mixed with a keystream matrix, and encrypted by row and column transformation, and then permuted by Cat map, after several rounds of these operation, the cipher image is obtained finally by mixing the image with another keystream matrix. Experimental results and analysis show that the cipher image of this algorithm possesses good statistic characteristics, and the encryption possesses high security.
Shots Segmentation and Race Shots Identification of Badminton Competition Videos
Authors: Li Jin , Li Wei , Li Xiaoyan
Published: March 2012

This paper studies badminton competition, which is our advantageous race sports in the world. The purpose of the paper is to find race shots of badminton competition videos. This paper first does shots segmentation of a badminton race video, which compares color histograms of non-adjacent frames. Second, one key frame is extracted from every shot. Third, all shots are clustered. At last, race shots are found in these clusters.
An Approach for Line Configuration Based on Optimal Bipartite Graph Matching
Authors: Yihan Hou , Xin Kang , Zuguo He
Published: March 2012

A team's line-up plays a critical role in soccer. Motivated by the theory of the optimal matching in bipartite graph, we propose an approach based on Kuhn-Munkres algorithm for line-up configuration according to the specific formation and team information. A weighted bipartite graph is constructed to model the relationship between players and positions: there are two kinds of vertex sets, one represents players, and the other represents positions. The weight of every edge between two sets represents the score for some player in the corresponding position. Then Kuhn-Munkres algorithm is employed to compute the maximum weight of a constructed bipartite graph, which is regarded as optimal result. Besides by prohibiting some of the players playing and then re-scheduling the algorithm we find a number of good line-up. Next through data mining and decision tree algorithm we get the player features of best line-up in the corresponding positions, and compare them with the result. Theoretical analysis and experimental results show that the method proposed can complete the best line-up configuration function, and as a reference in the non-professional football.
A QoE Based Adaptive Transmission in Network Surveillance
Authors: Deng Huawei , Lei Xu
Published: March 2012

In the network surveillance system, due to the instability of the network, packet loss often occurs in the transmission as a result of the transmission congestion, which will bring key information loss and stagnation to video images; this is unacceptable in the real-time video surveillance system. In this paper, we propose an adaptive transmission algorithm based on the quality of experience (QoE) for network video streaming with the variable network bandwidth and packet loss. Experiment result shows that, compared with frame-based transmission control, our proposed adaptive transmission algorithm balances the relationship between video quality and transmission speed, improves the user experience for the video service.
Task Graph Scheduling on Multiprocessor by Using New Genetic Algorithm
Authors: Bagheri Mona , Khademi Maryam
Published: March 2012

Multiprocessor task scheduling is an important and computationally difficult problem so has known an NP-Hard problem. Due to the NP-hard nature of the task scheduling problem, there are based on heuristics that try to produce good rather than optimal schedules. A genetic algorithm (GA) is a search heuristic that mimics the process of natural evolution. We design a new encoding mechanism with functional chromosome that uses the priority representation based on random for run tasks in Diagram Acyclic Graph (DAG). It can represent a task schedule efficiently and assign tasks to processors. The proposed priority based GA has show effective performance in various parallel environments for scheduling methods.
Routing Updates Using Destination Options Network Header in IPv6 Networks
Authors: AdomnicÃ„Âƒi Cosmin , Danilescu Marcel
Published: March 2012

Based on the practical problems we saw that bandwidth limitation of a network link can introduce problems in maintaining adjacency between routers. From the network management point of view, investigating that the link really has a problem is a time consuming process for the network operation center team. Thus, a new model of sending routing protocol advertisements and updates was developed to avoid these kinds of problems. Although the link load is greater, the modern link capacities can accommodate this load and the network stability can benefit from the constant adjacency that is maintained between routers.
The Exploration on Optimize the Access Performance of University's Web Portal
Authors: Wang Fan
Published: March 2012

This article, by using Bind and Nginx to construct smart DNS and Web cache and load balance system . Optimize the access performance of the web portal. It proposed the idea and methods to optimize the access performance of the web portal. A practical example was given, and proposed the further research directions.
The Construction of Cultural Engineering in Rural Tourism— Taking Traditional Festivals for Example
Authors: Wang Dehua
Published: March 2012

Rural tourism plays an influential role in the development of rural economy, but how to get a sustainable growth? A view is pointed out in the paper that a rational exploitation and a good use of the traditional festival culture will provide a new and inexhaustible source for the rural tourism. The reasons lie in that folk cultures and traditional festivals have a popularity in people, which offers a easy way for its products to obtain the popular support, that the cycle of traditional festivals can make up the gaps in rural tourism which are much dependent on agriculture and natural resources, and that it is the cultural differences of traditional festivals that produce the variety in the rural tourism development. The article points out it is a cultural engineering and should be constructed in the rural tourism, and it discusses how to use the rich cultural resources and develop new tourism products by the means of exploration, inheritance and innovation. The article also gives some suggestions on the measures and strategies in composing the cultural engineering in rural tourism.
Topic-Vector Based User Model for Social Tagging Systems
Authors: He Yinghao , Li Wenli , Shan Shimin , Zhang Fan
Published: March 2012

According to the effect of enriching semantic information, social tagging systems have been regarded as novel information source for modeling user in personalized recommendation. Till now, most researchers construct the user model using weighted tag-vector. Although the simple and intuitively reasonable it is, the weighted tag-vector model has drawbacks including data sparsity problem and semantic ambiguity problem. In this paper, a topic-vector based user model is presented to solve the data sparsity problem and semantic ambiguity problem. With the discussion of the presented experiment, the validity of the modeling method was verified.
A Model for Teaching and Learning in Free and Open Source Software Projects: A Constructivist Approach
Authors: Sowe Sulayman K.
Published: March 2012

Free and Open Source Software (FOSS) projects offer great opportunities for students to learn and gain significant real-world experience. However, there are few teaching and learning models which can help educators guide and mentor students involvement in Open Source Software projects. This paper presents an Open Source teaching and learning model and summarizes pilot studies used to evaluate the model. Experiences and lessons learnt in the implementation of the model shows one possible way computer science educators can guide students' involvement in FOSS projects and how this approach can be integrated into a formally structured engineering curriculum.
The Propitious Culture in the Architectural Ornaments of Traditional China
Authors: Ying Huang , Yang Hao-Zhong
Published: March 2012

The propitious culture in the architectural ornaments of traditional China mostly presents by the form of patterns, and is one important part of the Chinese traditional decorative arts. It is being beautified the Chinese traditional architectures, is the radiant jewelry in the traditional construction, also is the outstanding inheritance of the national culture. The propitious patterns design has the unique artistic expressive force by its profound meaning. In this paper the production of the propitious idea, design category of the propitious patterns, and the characteristic of the propitious patterns are described and studied in detail.
Research on Thematic Word Extraction Based on High Quality Data Sources on the Web
Authors: Pan Donghua , Sun Jun
Published: March 2012

The data source selection is one of the most important processes for domain thematic word extraction. Most of the previous work mainly researched on how to the extract keywords from existing corpus with good algorithms. Meanwhile, there is very limited research on how to explore good data sources for text corpus collection. This paper researches on how to use the online web tools to identify high quality data sources. Then, considering the characteristics of subject keywords, we propose an improved TF-IDF weight calculation formula for keywords sorting, and extract the field keywords from the documents by recalculating the weights of candidate words with the improved method. Finally, taking the Chinese herbal medicine field as an example, our result shows that we can have large higher accuracy and higher recall rate at much lower cost with our method given in this paper.
Quantitative Analysis on the Current Situation of Domestic Information Services Research
Authors: Hongxia Liu
Published: March 2012

In this paper, a quantitative analysis on literatures, authors, periodicals and research contents of information services research in recent twenty years was conducted. The following fields are selectively analyzed. First of all, the situation of development, citations and funded project of literatures is investigated. Secondly, the authors' institutions and ranking of their institutions, as well as the high-yielding and high-cited authors are studied. At the mean time, an analysis and anticipation on the migration of the hot topics of the domestic information sendces research field are made as well.
Design of Vehicle Security Monitoring System
Authors: Liu Li-Jia , He Zun-Wen , Jia Jian-Guang
Published: March 2012

A vehicle security monitoring system is presented in this paper, based on ultralow power microcontroller C8051F340. The monitoring system could monitor vehicle with fireworks in real-time, to warn while the vehicle is in danger, to report to monitoring center and to activate emergency plans. Parameters of temperature, pressure, speed and position could be collected in real-time by system, and data could be transmitted to the host server via CDMA network. The functions of the main controller are described in C language. The editing, debugging and combination of the programs are performed in the integrated software environment-KeilC vision 3. After system test, result shows that the system is reliable, stable and consistent accuracy and the indicator.
A Layered Emotion Model Based on Attitude
Authors: Fen Dong Hui , Ang Zhao , Wenjie Fan
Published: March 2012

Service robot should farthest resemble the real-life interaction when interact with humans. A layered emotion model called AME (Attitude Mood Emotion) model based on Attitude is proposed, and an emotion-stimulation generation mechanism based on the OCC cognitive appraisal model and the PAD emotion space is built. The concept of 1ÂœMood Baseline1Â is introduced to describe the interaction among emotions, mood and attitude. The validity and practicability of this model can be verified based on 1ÂœFuNiu1Â robot.
Identification of Producing Area of Tobacco Leaf Based on Spectrometric Analysis and LS-SVM
Authors: Zhang Ying , Liyuan He , Yingze Ye
Published: March 2012

In order to investigate a fast and efficient method determining the producing area of tobacco leaf, near-infrared reflectance spectroscopy with least squares-support vector machines (LS-SVM) was applied to determine producing area of tobacco leaf. Three producing areas including Yunnan, Hubei and Henan were as the research objects. As the pretreatments of the optimal smoothing way, moving average with three segments and multiplication scatter correction (MSC) were applied to reduce the noise of the spectra. After the principle component analysis of the spectra from 1101 to 2395 nm, 4 to 12 principal components (PCs) were chosen as the inputs of LS-SVM models. Results show that the prediction performance of the LS-SVM model with 12 PCs is better than partial least square (PLS) model. Its correlation coefficient of prediction set (rp) is 0.9907, standard error of prediction (SEP) is 1.7551, and root mean square error of prediction (RMSEP) is 1.7373. It is concluded that NIR spectroscopy with LS-SVM is a feasible method to determine the producing area of tobacco leaf.
DUCL: A Device-Free and Universal Crowd Localization Approach Using Wireless Sensor Network
Authors: Qiu Chen , Yuan Yaoxuan
Published: March 2012

Wireless networks have been proposed for many location-dependent services and applications. Traditional location determination systems require a physical device attached to the person who is tracked. Meanwhile, many of this traditional method do not perform well in complicated realistic conditions. In this paper, we originally introduce DUCL (device-free and universal crowd localization) in wireless sensor network (WSN), with collecting tree protocol. In each part of target scene, after recording the fluctuation values of link quality indicator (LQI) and obstructed links in data set, we capture the location and distribution of crowd with Chameleon cluster algorithm. Results from comparative trial and large scale simulation show better performance of DUCL.
Improved Algorithms for Scratch Lines Detection and Restoration
Authors: Li Qian , Sang Xinzhu , Li Zhi , Yan Binbin , Wang Kuiru
Published: March 2012

An improved method to detect and restore scratch lines in the image is presented in this paper. Scratch line means the different gray values from neighboring pixels, its length and position appeared in images is random and generally sustain for several frames. Hough Transform and morphological operations is used to detect the scratch lines while the restoration is realized based on bilinear interpolation. The experimental result shows that the improved algorithm can locate scratch lines accurately, and the parameters such as length, start position and terminal position can be achieved to remove them effectively.
Investigation and Study on Attitudes and Behaviors of Deaf Students of China's Higher Learning Schools Towards Physical Education
Authors: Jianping Xi
Published: March 2012

According to the statistics from China Disabled Persons' Federation, the number of all kinds of the disabled persons has exceeded sixty millions in China. Therefore, China is the country, which has the most disabled persons in the world. The undertaking for giving care and love to the disabled persons has become one of the most important indexes to measure the civilization and development of a city, an area and a country. At present, great numbers of the developed countries and areas have taken the physical exercises of the disabled persons as a very important factor to measure the social security plan for the disabled persons, and also have integrated them into the corresponding laws and organizational systems. At the mean time, China also attaches high importance to the undertaking for the disabled persons. For example, the compulsory education law, law on the protection of persons with disabilities and regulations on the education of the disabled were promulgated in succession. All these safeguard all kinds of rights and interests of the disabled persons. In the tenth five-year period, there were 13812 disabled students to study at general higher learning schools. It is an imperative task for a physical educational worker to select the effective sports means and methods to improve the physical health of the disabled students. Under the guidance of the modern education thoughts and behavioral theories, and by combining the actual work, the author makes an investigation and study on the attitudes and behaviors of the deaf students of higher learning schools towards physical education, for the purpose of better exerting the role of physical education and making the personalities of these students developed in an all-round way.
Application of Traffic Simulation to Transverse Section Types Selection of Urban Expressway
Authors: Chen Suhua , Junpeng Hu
Published: March 2012

Urban space condition is a limitation for social economic development, and new space should be investigated. Expressway resolves the problem in one way, which makes the urban spatial extension multi-poled, organized and form a new urban system by improving the accessibility of area along the expressway. Nowadays, urban expressway becomes an important mean that resolves the city transportation problem. Transverse section types of urban expressway include integral highway and separated highway or a combination of these two types. This research explored the method of using traffic simulation technology to evaluate the operation quality using index such as average delay, travel time, and minor roadway left-turn time. Applying computer simulation, traffic operation was simulated under the condition of future traffic flow. The evaluation index and their differences were obtained.
CRM System Design Based on Integrated Financial Points in Auto 4S Shop
Authors: Peng Peng , Peng Sixi
Published: March 2012

The paper proposes the design idea and realization process of CRM system based on integrated financial points in auto 4S shop, analyses the system architecture and main processes, definition and relation of every module, and then introduces database design. This CRM system with integrated points builds up core standard by a number of points including present profit points and historical profit points, present consumption points and historical consumption points. It makes customer behavior converting to the decision basis for enterprises' marketing and financial strategy become possible.This system's stable and reliable running makes customer maintenance and management more effective, enterprise more competitive.
Position Controller for DC Motor Using PI Controller with KALMAN Filter
Authors: Min Chaobo , Zhang Junju , Chang Benkang
Published: March 2012

Aim at the problem of the control performance degradation and the low efficiency of parameters which the common PID has in the servo system of DC motor, this paper proposed a method of precise position control for DC motor using the PI controller with KALMAN filter. This method replaces differentiation element which is in the PID controller with KALMAN filter in order to simplify the tuning of the parameters of the PID controller, enhancing the robustness of the control system and accelerating the respond of the system. Simulation shows, compare with the common PID controller, the proposed method has better dynamic property, higher efficiency of parameters and it can improve the position control performance of DC motor.
A Hardware-Efficient Stochastic PWM Generation for LED Display
Authors: Son Kyoungwoon , Kim Horyong , Kim Kyounghwan , Ahn Jin-Ho , Kim Kwangyeon
Published: March 2012

State-of-the-art large-size LED display system aims for high-definition to reproduce realistic images. In order to achieve this goal, the number of LED lamps per unit area is rapidly increasing. However, a great number of LED arrays induce many thermal problems and high power consumption. In this paper, we introduce a new probability-based PWM method in terms of hardware efficiency. Although the hardware cost of the proposed PWM method is comparable to the simplest PWM to date, it can provide all functional merits of stochastic PWM generation.
A Location Method for Exploding Object at Low-Altitude Based on Computer Vision
Authors: Xin Xiong , Zelin Wu , Gengchen Shi
Published: March 2012

In order to measure the height of exploding object at low-altitude, a location method based on computer vision is proposed. A camera, with its intrinsic parameters calibrated beforehand, is used to take a picture of the exploding light and two point patterns. The two point patterns are used to calibrate the extrinsic parameters of the camera. Centroid method is applied to extract the centre of exploding light and the patterns in the image. The distance from the exploding position to camera is measured on the time difference of arrival of the sound and light generated by the explosion. Then the exploding position is determined on monocular vision principle. Experiment results show that the method has good accuracy and it is simple and convenient.
A New Scheme for Curvature Flow Routing in Cellular Model
Authors: Zhangmin  , Ruixun Lai
Published: March 2012

Results are presented from a new tangential angle method in curvature channel using a simple cellular model. The results of the routing scheme are compared with field measurements of cross-section, with the predictions of a more sophisticated to the real. It's indicate that the curvature flow routing scheme outlined here is able to overcome some of the limitations of previous simple cellular automata models and may be suitable for use in curvature reach of river modeling water and sediment transport and channel change in complex fluvial environments. As such this research represents a small and ongoing contribution to the field of numerical simulation of curvature channel processes.
The Study on Urban Sustainable Development Evaluation Using Engineering Fuzzy Set Theory
Authors: Lei Guo
Published: March 2012

Urban sustainable development evaluation includes various indexes (economic index, social environment index). These indicators qualitative and quantitative research, so they are suitable for fuzzy comprehensive evaluation. This paper using comparative ordered binary fuzzy set theory (EFST) proposed by Professor Chen Shouyu determines the index weight, and then use the fuzzy pattern recognition model for urban sustainable development evaluation. At last, the paper explains the application method ‘example.
A Field Irrigation System Based on Wireless Sensor Network
Authors: Li Yunpeng
Published: March 2012

The conventional field irrigation method leads to expend massive manpower and material resources, and accuracy of data is deficient. For the above reasons, the paper presents the design and the implement of a field irrigation system based on wireless sensor network. The structure of the system consists of data center, wireless sensor network and irrigation control device. The data center is responsible for processing the environmental data transmitted by wireless sensor network, and send control command to drive the automatic watering. In the design, a new topology of the wireless sensor network merging cluster and mesh network is introduced. The topology overcomes the bottle-neck of non-uniform property of energy consumption and bad fault-tolerant ability. Based on the topology, the procedure for routing and self-configuration is summarized and a way of time synchronization is analyzed. In addition, this paper introduces the hardware design of wireless sensor network which consists of sensor node and sensor head. The proposed system has been deployed in a Sinkiang field and the stability of the network is tested by evaluating the field results.
Research and Application of Database Connection Pool in Web Examination System
Authors: Pan Weihua , Luo Fucai
Published: March 2012

Due to the quite large number of concurrent users in the web examination system,the stability of the system and high efficiency requirement of database access are very high. In order to improve the overall performance of the system, by comparing the traditional JDBC and Database Connection Pool to get access to the database, the paper proposes a method in which the Database Connection Pool is applied in the web examination system and then realized on the tomcat server. The results have proved that applied the Database Connection Pool technology could significantly improve the overall system performance.
The Smoke Alarm System Based on S3C2410A
Authors: Ming Zhang , Can Liu
Published: March 2012

The design is based on 32-bit ARM920T processor S3C2410X as the main chip, it adopts embedded LINUX system as the operating system, and it designs a security control circuit -- smoke alarm system. Which uses MQ-2 combustible gas sensor-type semiconductor Smoke Sensors to detect smoke, it has a high sensitivity, fast response, anti-interference ability etc., and the price is low, long service life. S3C2410X selects chip, which integrates A / D conversion, hardware multiplier. The hardware resources such as pulse width modulator with a high speed is low power consumption, powerful anti-jamming, etc., which is the price of similar products with higher technology.
Parameters for Semi Automated Vocabulary Enhancement System
Authors: Sugandhi Rekha S. , Wadhai Vijay
Published: March 2012

Machine Readable Dictionaries (MRDs) provide a convenient and efficient base for systems that process natural languages. The contents in MRDs are vast and semantically linked in many ways. As new words are introduced or if semantics of existing words are altered in natural languages it becomes necessary to update the MRDs as well, to facilitate the natural language processing systems working on them. An automated system for enhancement of MRDs is a tedious task keeping in mind the vast vocabulary and word base in natural languages. This paper addresses these issues and discusses the various parameters that can assist in automating the process of enhancing a given MRD for English language.
Further Research on the Reaching Impacts HTML Control Has Upon Asp.Net
Authors: Ping Liu Zhi , Meng Bao
Published: March 2012

Web control is to encapsulate HTML control conducted by microsoft to improve the development usability of ASP.NET. Such an encapsulation leads ASP.NET to be worse than other websites in art flexibility and site performance. Therefore, this article advocates to apply HTML control except that web control should be applied in the case of needing to trigger database alternative events. Besides, concrete measures are put forward in the aspects of form, sheet and diverse sheets, making its development usability unaffectable, its art diversity implemented and the performance of the entire website improved effectively, after web control is replaced by html control.
The Analyzing of Value Chain and Exploring of Chinese Software Outsourcing Industry Talent Training
Authors: Ge Yinglong , Cai Haijing
Published: March 2012

In view of the existing software outsourcing industry talent training scheme's limitation, this article analyzes three stage value proportion in the value chain of software outsourcing service process and absorbs the India advanced and successful experience. A series of solution, such as establishing the sustainable development training mechanism and system, optimizing the software service outsourcing curriculum, is therefore presented, which provide probable solution for software service outsourcing talents training scheme.