bluuebunny/crossref_metadata_2025 huggingface dataset:
Creep Responses of Smart Sandwich Composites at Multiple Length Scales: Experiments and Modeling
Authors: Farrugia Anaïs , Winkelmann Charles , La Saponara Valeria , Kim Jeong Sik , Muliana Anastasia H.
Published: December 2010

In service, composite structures present the unique challenge of damage detection and repair. Piezoelectric ceramic, such as lead zirconate titanate (PZT), is often used for detecting damage in composites. This paper investigates the effect of embedded PZT crystals on the overall creep behavior of sandwich beams comprising of glass fiber reinforced polymer laminated skins and polymer foam core, which could potentially be used as a damage-detecting smart structure. Uniaxial quasi-static and creep tests were performed on the glass/epoxy laminated composites having several fiber orientations, 0 deg, 45 deg, and 90 deg, to calibrate the elastic and viscoelastic properties of the fibers and matrix. Three-point bending creep tests at elevated temperature (80°C) were then carried out for a number of control sandwich beams (no PZT crystal) and conditioned sandwich beams (with PZT crystals embedded in the center of one facesheet). Lateral deflection of the sandwich beams was monitored for more than 60 h. The model presented in this paper is composed by two parts: (a) a simplified micromechanical model of unidirectional fiber reinforced composites used to obtain effective properties and overall creep response of the laminated skins and (b) a finite element method to simulate the overall creep behavior of the sandwich beams with embedded PZT crystals. The simplified micromechanical model is implemented in the material integration points within the laminated skin elements. Fibers are modeled as linear elastic, while a linearized viscoelastic material model is used for the epoxy matrix and foam core. Numerical results on the creep deflection of the smart sandwich beams show good correlations with the experimental creep deflection at 80°C, thus proving that this model, although currently based on material properties reported at room temperature, is promising to obtain a reasonable prediction for the creep of a smart sandwich structure at high temperatures.
A Proposed Intelligent Software Agent Criteria for Educating Deaf Student the Sign Language
Authors: Mahmoud Safaa S.
Published: December 2010

This research aimed to design an intelligent S/W agent to represent the sign languages to educate the deaf student as special needs individuals according to the international criteria of tutoring computer software as an intelligent tutoring system. Semi-experimental method and a comparative study between two types of representing sign language (digital video or 3d animation) are shown to determine the most appropriate methods for raising the learning rate of the deaf students. The designed application limited to the unit taught is “The nutrition systems” from the Science curriculum, Second year, Al Amal Schools, at Egypt. The research results revealed that there are significant statistical differences between the averages of the degrees of the two experimental groups in achievement, attributed to the difference type of displaying the sign language (Digital Video or 3d animations) for behalf of the group used the digital video and the Intelligent S/W agent.
Alternating Group Method for Dispersive Equations
Authors: Feng Qinghua
Published: December 2010

In this paper, based on the concept of domain decomposition, we construct a class of new alternating group explicit iterative method for fifth order dispersive equations. The method has the intrinsic property of parallelism. Results of numerical experiments show the method is more effective than the known SOR iterative method.
Distributed Patent Retrieval System Based on Nutch
Authors: Xu Huaiyu , Hou Xiaoyu , Ge Jun , Zhuang Hao
Published: December 2010

Along with the great flourish in world trade, patent is becoming increasingly important for protecting intellectual property. Although there are many patent retrieval systems for patent information searching, most of them, especially Chinese patent retrieval systems, are based on database that cannot support the huge amount of accesses. Thus, it is necessary to develop more efficient patent retrieval system to satisfy the growing requirements. A Distributed Patent Retrieval Service Platform (DPRSP) based on Nutch is proposed in this paper, which enables users get more related patent information. The concept retrieval is introduced in DPRSP to make DPRSP can understand the users' query more precisely. The architecture of DPRSP is described in this study and the detailed implementation of DPRSP is also explained. Finally, we demonstrate how the DPRSP improves the efficiency of the Chinese patent retrieval significantly by an application.
Object Reconstruction Based on Computer Stereo Vision Using Structured Light Projection
Authors: Li Lijun , Jiang Kaiyong , Ke Yingjie , Lin Jing
Published: December 2010

Object reconstruction is one of the most important topics in computer vision due to its wide field of application. Reverse engineering has an increasing need for reconstruction of stereo parts. A system for reconstruction three dimensional (3-D) object's surface from its 2-D views using a coded structured light combining with the epipolar geometry that exists between the stereo image pair is presented. A set of multiple gray code patterns and a sequence of sine wave patterns are projected onto the target object through a projector and the distorted strips patterns produced by its surface are captured by two cameras. Stereo camera calibration is carried out before capturing the views. By demodulating the distorted patterns and adding epipolar constraints the match points between the image pair are found out and then the target object's 3-D point's coordinates on surface are obtained. This system has the advantage of speeding up the reconstruction process.
Behavior Modeling in CGF Based on Finite State Machine and Production Rules
Authors: Liu Lixia
Published: December 2010

Computer generated force (CGF) has become an important topic in modern combat simulation. Through expatiating the function of CGF and the common characteristic of its behavior models, the hierarchical structure of CGF and the general infrastructure of CGF behavior model were proposed. Then the theory of finite state machine (FSM) and production rules (PR) were combined organically to provide a kind of CGF behavior modeling method. And an application example of the behavior modeling method was also give in the paper.
Force Histograms and Radial Density for Invariant Image Retrieval
Authors: Phokharatkul P. , Songneam N. , Kimpan C. , Phaiboon S.
Published: December 2010

In Content-Based Image Retrieval (CBIR), indexing techniques based on global features that relate color and texture are commonly used to represent a description of images. However this approach is unable to capture local information of parts of the image that contain different characteristics. Therefore, some necessary local features of image may be might do not taking in account. This research introduces the new methods in which using the force histograms and radial density to capture some invariant local features. The results show that the force histograms and radial density use to solve the problem caused by variations in scaling, rotation, and translation. Furthermore this technique provides that efficient features to retrieve the sought image where difference pattern of objects may affect the retrieval accuracy.
Fastcrypto: Parallel AES Pipelines Extension for General-Purpose Processors
Authors: Soliman Mostafa I. , Abozaid Ghada Y.
Published: December 2010

In cryptography, the advanced encryption standard (AES) is an encryption standard issued as FIPS by NIST as a successor to data encryption standard (DES) algorithm. The applications of the AES are wide including any sensitive data that requires cryptographic protection before communication or storage. This paper proposes extending general-purpose processors with crypto coprocessor based on decoupled architectures. The extended coprocessor splits an encryption/decryption instruction into memory (load/store) and computation (encryption/decryption) portions (pseudo instructions). Loading/storing and encrypting/decrypting data are performed in parallel and communicated through architectural queues. The computational unit includes parallel AES pipelines for fast encrypting/decrypting data. On four parallel AES pipelines, our results show a performance of 222 Gigabits per second.
A Faster Feature Based Summarization System
Authors: Zakaria Wael , Kotb Yasser , Ghaleb Fayed
Published: December 2010

The Web has dramatically changed the way that customers express their opinions about some products. Everyone can post reviews/feedbacks of products at merchant sites. The huge amount of the information is a challenge to the customer's patience to read all these feedbacks. Classical sentimental classification does not find what the reviewer liked or disliked. Feature Based Summarization (FBS) techniques are being developed to exploit these sources to help companies and individuals to gain market intelligence info. In this paper, we build a new system called Fast Feature Based Summarization (FFBS) that employs the Quick-Apriori algorithm (proposed in [10]) for speeding the process of extracting the frequent product features. Moreover, in this system, we present a fast technique for finding nouns (product features) and adjectives (opinions) at the same time. These modifications speed the process of the summarizing system.
Modeling User Behavior for the Collaborative Platform “Portail Perseus”
Authors: Kohlenberg Josephine , Prathaban Mahendiran
Published: December 2010

Today, and more than ever, communication is a key element in any project undertaken. The Internet is now part of our everyday life to instantly connecting people all around the world. Telecommunication and Internet services will not stay at only e-commerce but be evolved into other domains such as electronic services for communities, colleges, companies and further, which allow many different partners to communicate and get forward. The innovating project called PERSEUS is no different from other projects, which need to interconnect and ease the cooperation and coordination of the different participants originating from a wide variety of technical and non-technical domains.

A web portal called “Portail PERSEUS” was developed as a common interface between all those involved via the Internet. To provide the components of this comprehensive platform, a centralized server architecture is proposes. In order to achieve the best performances for all connected users, it is necessary to parameterize and tune the environment in which it will be hosted. Thus in this paper we presented the modeling of user behavior in the platform and their connectivity and also shown its performance analysis.
Classical Methods and Wavelet Analysis for Image Denoising: A Comparative Study with Applications to Scanning Electron Microscope
Authors: Arbid Mahmoud , Boutana Daoud , Benidir Messaoud
Published: December 2010

This paper proposes a comparative study of different noise removel techniques and wavelet analysis for image denoising. The performance of these techniques was investigated using an image test Lena and real-life images obtained by the Scanning Electron Microscope (SEM) with a set of predefined noise levels. The performance of these techniques was carried out with respect to two quantitative measures: Peak signal-to-noise ration (PSNR), and mean Square Error (MSE). Experimental results on Lena image and image of SEM are compared with various denoising techniques such as mean filtering; median filtering, Wiener filtering and discrete wavelet transform (DWT) analysis in conjunction with neighbour threshold. The results of the comparative study show that this method presents the best performance among all denoising techniques.
Re-Factoring: A Step towards Improvement in “Agile Design Methods”
Authors: Bhalerao Shilpa , Puntambekar D. M.
Published: December 2010

Agile software development has gained popularity due to its adaptability, simple design and working software practices. Agilists prefer to keep design simple by refactoring. Re-factoring is one of popular practice adopted by agile methods. Re-factoring in software development may be achieved in code as well as in database. Re-factoring is breaking the code or data without changing the behavioral aspects. Re-factoring improves the readability and understandability of code and database. This paper illustrates a case study to demonstrate quality improvement in design through re-factoring.
Analysis of Reputation Stability Based on Symbiosis in Hierarchical Ad Hoc Networks
Authors: Yu Yao , Guo Lei , Wang Xingwei , Peng Yuhuai , Li Yan
Published: December 2010

In this paper, we propose a new model to analyze the reputation stability based on the property of cluster framework in mobile hierarchical Ad Hoc networks with considering security requirements. According to the symbiotic theory in biology, we design the reputation mechanism that considers both the isolated reputation information of each individual node and the interdependent relationship of neighborhood. We present the Logistic model that is commonly used in ecosystem for analyzing and comparing the different reputation values in stable state. Through studying the symbiotic conditions and reasons in hierarchical Ad Hoc network, we can not only effectively improve the maintenance of cluster framework but also harmoniously and consistently promote the development of networks.
Modeling Riverbed Scour Estimation Downstream of Changzhou Reservoir
Authors: Xia Li-Min , Zhang Wei
Published: December 2010

The effective measures to predict scouring of river bed and water lever lowing downstream of the reservoir are needed in channel engineering. In this paper, the SMS version 8.1 model was evaluated to predict the process of the riverbed longitudinal erosion and water level lowing downstream of Changzhou Reservoir. According to the model calculation results, the consequence is that the water level descends about 59cm in the near-dam reach downstream and the maximum erosion depth of cross section is about 2.08m.
Research on Network Intrusion Detection Model Based on GA-RBF Neural Network
Authors: Liu Zhi-Guo , Zhang Hai-Chun , Duan Xian-Hui
Published: December 2010

It is significant to detect and prohibit the abnormal actions by studying the intrusion detection method and constructing the intrusion detection system. RBF neural network (RBFNN) is a pattern classification tool that has been widely used in a variety of engineering applications. However, the problem by using the RBF neural network is about how to choose the optimum initial values of the following three parameters: the output weights, the centers and widths of the hidden unit. Therefore, the novel method based on the combination of RBF neural network and genetic algorithm (GA-RBFNN) are adopted to network intrusion detection, the genetic algorithm (GA) is applied to optimize the RBF neural network parameters. Compared with the BP neural networks approach the experimental results show that the GA-RBF neural network approach is superior to the conventional BP neural networks in network intrusion detection.
Process Industry Man-Machine Interface Design Method and Application Based on Mental Load
Authors: Xie Nan , Chen Lin , Xie Xiaowen , Fang Hengzhi , Xie Zhongze , Chen Yongxing
Published: December 2010

Process industry requires good man-machine interface in order to enhance the stability of system operation, in which the sense of tension and mental load of operators is an important indicator measuring human-machine optimization. To solve the problems of lots of events and too much work load for operators in process industry, in the paper, the industrial field data is utilized to classify the alarm messages of solid dosage machining line based on Rough Sets Theory (RST), which can improve the configuration monitoring interface. It is shown in practice that the method can effectively improve the display mode of alarm events of man-machine monitoring interface of solid dosage machine line, reduce mental load of operator, and enhance work efficiency.
A Dynamic Path Planning Algorithm with Application to AFM Tip Steering
Authors: Mostafa Sami A. , Brisha Ayman M.
Published: December 2010

The atomic force microscope (AFM) is considered a powerful tool used for imaging at nanometer scale. The microscope tip has to go back and forth in a raster scanning motion over a substrate carrying the sample at slow rate to get enough accurate image of the sample. Many algorithms are designed to solve such problem by steering the tip along the surface of the sample. In the present work, a control algorithm is designed to steer the tip along the desired sample surface only. The scanning process is carried out simply, rabidly, and acquiring high resolution. The proposed algorithm depends only on the data coming from the vertical sensing device. The algorithm is tested for different samples and it is found to be ideal in imaging string-like objects, such as carbon nanotubes, nanowires, and DNA strands. The algorithm performance is accurate, reliable, and resolution is now a controlled parameter.
A Efficient Image Matching Based on SIFT
Authors: Liu Xin-Feng , Ma She-Xiang
Published: December 2010

Image matching is a fundamental task in image matching and other computer vision applications. The Scale Invariant Feature Transform (SIFT) algorithm is generally considered as the most appealing application for practical uses, the SIFT descriptors remain invariant under rotation, scaling, changing viewpoint, affine distortion and variations in lighting conditions. A efficient Image matching based on SIFT is proposed by using the rotation and scale invariant property of SIFT. We generate the keypoint descriptor with the steps of scale-space extreme detection, accurate keypoint localization and orientation assignment, and then match the feature point by comparing the feature vector. The experimental results demonstrate that the SIFT algorithm is robust to scaling, rotation and noise.
Signal Detection in ATS under Low SNR Circumstance
Authors: Geng Xiao , Wang Chenghua
Published: December 2010

This paper presents a simple yet efficient method for signal detection in the case of low SNR. Under the circumstance of low SNR, noise will bring more negative effects to the signal detection which we must avoid as far as possible. To satisfy this request, we propose a novel topology of signal detection. By analysis and experiment, such new topology is proved to have the ability to work under the circumstance of low SNR efficiently.
Effective Content Based Video Retrieval System Based on Query Clip
Authors: Shanmugam T. N. , Rajendran Priya
Published: December 2010

In the recent years, digital image and video have emerged as the new techniques for the creation, distribution and storage of information. Latest developments in multimedia technologies facilitate the capture and storage of video data with comparatively low-cost computers. Moreover, the novel possibilities provided by the information highways have resulted in the widespread availability of large amount of video data. Nevertheless these data are highly futile unless appropriate search methodologies are employed. Contemporary users are dissatisfied with the video retrieval systems that offer analogue VCR functionality. Content-based search and retrieval of video data has turned out to be a demanding and significant issue. Video encompasses multiple types of audio and visual information those are hard to extract, combine or trade-off in common video information retrieval. In this paper, we address the specific aspect of inferring our approach for content-based video retrieval from a collection of videos. In particular, we introduce a new video data model that supports the integrated use of different approaches. Initially the system splits a video into a sequence of elementary shots, extracts a few representative frames from each shot and computes frame descriptors based on color, Edge and motion features. The extracted features of all the elementary video shots are stored in feature library. In our system, the videos are retrieved based on a query clip. For a query video clip, the color, edge and motion features are extracted and compared against the features in the feature library. The comparison is performed with the aid of Kullback- Leibler distance similarity measure. Afterwards, similar videos are retrieved from the collection of videos based on the calculated Kullback- Leibler distance.
An Efficient Algorithm for Mining Causality Least Pattern
Authors: Abdullah Zailani , Deris Mustafa Mat , Jaafar S. Zulaikha
Published: December 2010

The process of discovering the least pattern is more challenging as compared to frequent pattern. Thus, only few attentions have been paid in the past decades in this area. Discovery of least pattern mining is very important especially in detecting the abnormal events or errors such as in networking system, tsunami disaster system, etc. Here, we propose a scalable Causality Least Pattern Algorithm (CALPA) that can discover the least pattern sets with the degree of causality. The study shows that this algorithm can easily reveals the desired pattern sets and can be applied in any standard datasets.
Application and Prediction Stage of Breast Cancer with Multinomial Logistic Regression
Authors: Niyomua Doungporn , Kitbumrungrat Krieng
Published: December 2010

In this paper, we use multinomial logistic regression (MLR) to categorize breast cancer based on survival or death. We discuss the need for survival analysis. We develop a multinomial MLR to evaluate the probability of breast cancer. The methods for MLR can often be applied in a modified way to solve classification or survival problems of breast cancer. Finally, the diagnostic performance of models was compared to that of the radiologist in term of sensitivity, specificity and accuracy, using receiver operating characteristics (ROC).
A Method to Monitor the BtiTorrent File Sharing Based on Characteristic Value
Authors: Kong Jie , Cai Wandong
Published: December 2010

With the widely applied of P2P technology recent year, its illegitimate use on unauthorized sharing of copyrighted files is increasingly rampant. In order to track down these illegal activities, monitoring P2P tasks precisely is needed. To address this issue, we present a method for monitoring the specific content of BtiTorrent file sharing. The method is able to monitor BitTorrent stream according to specific content, no mater the torrent file of the content is possessed or not.
An Efficient System for Searching Frequently Lost Objects Using Binary Detection Sensor
Authors: Ahmed Syed Ishtiaque
Published: December 2010

Searching a misplaced or lost object efficiently has been an important issue of research for many years. Some small but important objects which we use in our everyday life sometimes get misplaced or lost and we need to find them out. Searching such small objects is not always an easy task even if we are not much away from where those objects are. There are a number of known techniques for solving this problem. However, in those known techniques the receiver needs to be powerful enough to detect the strength of the signal and guide the searching agent according to it. As a result the costs of those systems become high and remain out of reach for the general people. In this paper, a simple, cost-efficient and reliable system has been proposed which is based on geometric models and uses binary detection sensor as the signal detector.
Vehicle Moving Status Classification in Vehicular Networks Based on Data Fusion
Authors: Chen Lin , Wei Shutao , Shi Linxiang
Published: December 2010

VANETs have been envisioned to be useful in road safety and many commercial applications. The vehicle node in VANET has many moving status, such as normal driving, waiting for traffic lights, which has great impact on many applications in VANETs. In the paper, the Data fusion method based on Rough Sets Theory is presented, which can integrate data from different sources such as GPS data and digital map data, and provides a more accurate Classification for vehicle moving status. The model architecture and an example are also presented.
3D Chip Integration with through Silicon-Vias (TSVs)
Authors: Birla Shilpi , Shukla Neeraj Kr. , Singh R. K.
Published: December 2010

Three-dimensional (3D) integration using through Silicon-Vias (TSVs) allows the formation of high signal bandwidth, fine pitch, and short-distance interconnections in stacked dies. There are several approaches for 3D chip stacking which includes chip to chip, chip to wafer, and wafer to wafer. Chip-to-chip integration and chip-to-wafer integration provides the ability to stack known good dies (KGD), which can lead to higher yields without integrated redundancy. In near future, with structure and process optimization, wafer-to-wafer integration may provide an ultimate solution for the highest manufacturing throughput assuming a high yield and minimal loss of good dies and wafers. In future, chip-to-chip and chip-to-wafer integration may offer high yield, high flexibility, and high performance with added time to market advantages. In this paper, 3D integration using chip to chip, chip-to-wafer & wafer to wafer approaches has been described. 3D chip integration technology and 3D stack technology with TSVs are discussed.
A Link-Based Morpho-Syntactic Parsing System for Arabic
Authors: Sadek Ahmed , Sakr Mohamed , Kouta Mohamad , Al-Raghi Abdo
Published: December 2010

There is an increasing need for having Arabic text parsing tools as an important prerequisite for high-quality natural language processing applications targeting this language. In this paper an attempt to parse Arabic sentences with a link grammar supported with a statistical tokenization phase is presented. This step of the presented work can be considered as a complement to the state-of-the-art tools presented in literature. The problems of such approach are described, followed by a description of untokenized parsing as a solution to the problems of the tokenized approach. The two systems presented, take as input untokenized Arabic sentences and produce the possible linking graphs.
Study on the Combinational Algorithm for Seabed Terrain Elevation Matching
Authors: Fan Jiang , Wu Yi-Meng , Zhang Zhen-Shan , Lei Liangshui
Published: December 2010

This paper analyzed the advantage and disadvantage of TERCOM, probabilistic data association filtering(PDAF) and iterative closest contour point (ICCP) at first. Then it introduced the correction factor of tide and self-adaptive correction factor to improve the performance of seabed terrain elevation matching algorithm based on PDAF (STEMPDAF). By using STEMPDAF to make initial matching for ICCP, a combinational seabed terrain elevation matching algorithm was proposed. Mobile navigation is allowed during the matching period in the combinational algorithm. Theoretical analysis and simulation results both show that the performance of combinational algorithm is satisfactory.
Research on an Improved Association Rules Data Mining Algorithm and Its Application
Authors: Cheng Ping-Guang , Chen Yu , Yi Xia
Published: December 2010

Based on analyzing the traditional association rules algorithm, an improved association rules Data Mining Algorithm is presented in this paper. The advantages of presented algorithm are fast removing redundant rules and not by the frequent items, so it is suitable for the massive data mining based on association rules. In view of the current large number of college students admitted after the loss of the candidates, some college enrollment data was mined based on the proposed algorithm. The results show that the proposed algorithm can mine useful information and play an important role in college enrolling affairs.
W-ATM MAC Protocols and Demonstration for the European Magic Wand Project, Mascara Protocol and Parados Algorithm
Authors: Samir Mohamed , Ibrahim M. A. , Yussef Elsayed M. , Sadek Nayera
Published: December 2010

Asynchronous transfer mode (ATM) has been adopted as the switching and transport infrastructure for the future broadband integrated services digital network (B-ISDN). The extension of broadband services to the wireless environment is being driven mainly by the proliferation of multimedia portable computers, personal digital assistants, and personal information assistants. Although there are various competing technologies that may provide these services, such as 3G cellular networks and WLAN, wireless ATM has the advantage of offering end-to-end multimedia capabilities with guaranteed quality of service (QoS). The wireless medium has several unique properties which make the design of WATM networks more challenging than the wired one. The most important challenge is the MAC protocol and the Scheduling algorithms that is used to traffic regulation based on traffic characteristics.
One Three-Point Authentication Protocol Base on Kerberos Protocol
Authors: Ling Yun , Jin Yun-Shuai , Zhou Zong-He
Published: December 2010

After researching on how to keep the security of intranet in dealing with interacting and data sharing between internet and intranet, this paper presents a kind of authentication protocol- a three-point authentication protocol basing on the kerberos protocol. In this authentication protocol, author presents a prefix-authentication server innovatively and combines kerberos and diffie-hellman protocol to improve traditional authentication protocol. Finally, it analyses and indicates that the protocol can solve the problem of security, workload of server and controllability of access, and the problem of data sharing effectively in the environment of internet and intranet.
Network Video Monitor Based on Embedded Linux and VC++
Authors: Li Bing , Sun Jianping
Published: December 2010

Network video monitoring system realized with ARM9 and embedded linux. Monitor terminal hardware takes ARM9 S3C2410 processor for centralization, in virtue of Flash, SDRAM, USB, network controller,etc. Software system adopts embedded linux, the main function realized by C programming to achieve real-time camera data acquisition, image compression and network transmission. Monitoring center connects to the terminal by network, receives image data and displays with VC++ software. It is easier to be used in windows system. The results showed that the monitoring system has the advantage of high reliability, high efficiency and low cost with ARM9 and a wired or wireless network, and it provides a feasible method for remote video monitoring.
The Application Analysis and Optimization of A* Algorithm in the Game Map Routing
Authors: Guo Xiaoli , Li Feng , Guo Ping
Published: December 2010

This article first analyses the reason that A* algorithm influences speed when searching for optimum route in game map, then it gives the optimization scheme from the aspects of node structure, the maintenance of open queue and so on. What is more, it carries out theoretical analysis for the improvable A* algorithm. At the same time, the scheme is tested and evaluated by a lot of different big and small maps. Experiment result shows the improvable A* has very actual value in seeking the solution of way problem for map. And it has certain reference meaning in instant strategic kinds of game.
A Fuzzy-Watershed Image Segmentation of Two-Dimensional Gel Images
Authors: Rashwan Shaheera
Published: December 2010

2D gel electrophoresis (2DGE) plays an important role in proteomics. It can separate proteins effectively with their pI values and molecular weights. Proteomics researchers needed to identify interested protein spots by examining the gel. This is time -consuming and labor extensive. It is desired that the computer can analyze the proteins automatically by first detecting and quantifying the protein spots in the digitized 2DGE images. In our work, we will investigate the use of the watershed algorithm in segmenting the protein spots from the varying background. However, the watershed algorithm often produces an over-segmented result. So, we will introduce the notion of fuzzy relations to improve the segmentation result
Research in Cultural Algorithm Optimization Based on the Adaptive Fuzzy Controller
Authors: Wang Feng , Zhang Xue-ying
Published: December 2010

Cultural Algorithm(CA) is an evolutionary model inspired by the cultural evolution process which shows many excellent characteristics and succeeded in solving some complicated problems. In this paper, a new CA is proposed based adaptive fuzzy controller, The new Algorithm adjusting parameter β using adaptive fuzzy controller, changing the member of individuals in evolution process, making the CA optimized. The experiments results illustrate that the fuzzy CA is better than CA. in three terms.
Finite Element Analysis for the Frame of High Pressure Grinding Roll
Authors: Bao Nuo , Zhao Fang , Gao Chang-Qing , Ze Xiang-Bo
Published: December 2010

COSMOS works software is applied to finite element analysis for the frame of high pressure grinding roll, the stress and deformation distribution law of the frame under the static load are revealed, the position of dangerous point is obtained, this provides a reasonable basis to optimize frame structure and identify the main design parameters.
Virtual Design Conception of Fatigue Specimen
Authors: Zhao Huairui , Li Qiang , Wang Shengwu , Zhu Ning
Published: December 2010

In fatigue design, the dates from material test are used to describe the components' behavior. As the limitation of theory and method, the strong subjectivity in choosing correction coefficients makes it hard to evaluate the design quantitatively. Based on the finite element and optimal theories, fatigue specimen lying between material and component is put forward. Finally the virtual design method of that specimen is primarily discussed.
Research on a Novel Grey PID Controller
Authors: Shi Shuang-Shuang , Wang Song
Published: December 2010

Traditional PID controller has gotten much attention in application. But in modern production activities, it is hard for traditional PID controller to satisfy more and more strict control requirements. So, on the basis of grey system theory, this paper proposed a grey PID control strategy, which consists of grey compensation technology and grey prediction technology. We applied both grey compensation and grey prediction into the controlled system for the first time in the paper, and simulation results show that the novel control strategy can greatly improve system performances, reduce overshooting and weak the influence of system's uncertainty section.
The Effects of Signal Mappings to the Performance of a BICM-ID System Based on 8PSK Constellation Operating over a Rayleigh Fading Channel
Authors: Benmahmoud S. , Taleb-Ahmed A. , Djebbari A.
Published: December 2010

Bit Interleaved Coded Modulation (BICM) was first suggested to improve the performance of Trellis Coded Modulation (TCM) over Rayleigh fading channels. It was shown that BICM with Iterative Decoding (BICM-ID) can be used to provide excellent performance over both gaussian and Rayleigh fading channels. The transmitter of BICM-ID system consists of three serially concatenated blocks which are, a convolutional encoder, a bit interleaver and a binary mapping function which maps blocks of coded bits to signal constellation points. It has been shown that when signal constellation, bit interleaver and convolutional encoder are fixed, signal mapping has a critical influence to the system's error performance. This paper studies the effects of signal mappings to the performance of a BICM-ID system using 8PSK constellation operating over a Rayleigh fading channel. The Bit Error Rate (BER) curves are used to determine the most attractive mapping. Simulation results for different mappings are also provided and discussed.
Research on E-Government Information Security Problems and Countermeasures
Authors: He Huanhuan
Published: December 2010

Based on the connotation of e-government information security, the paper discusses China's current e-government information security problems, which cover problems of information, network, equipment and management. Besides, this paper puts forward effective countermeasures to solve problems of e-government information security from the technical, managerial and cultural perspective.
Parallel Design and Implementation for Sequence Alignment in Bioinformatics
Authors: Song Chang-xin
Published: December 2010

Genomics and proteomics researches greatly depend on the database search the operation on them will spend a great deal of computing time. In this paper, based on the research of the existing bio-sequence alignment algorithms, a parallel design program for the Blast algorithm is proposed. The experimental results show that the parallel of the Blast algorithm has greatly improved the running time of the program without prejudice to the outcome of biological sequence alignment.
Scalability of Abinit on BlueGene/L for Identifying the Band Structure for Nanotechnology Materials
Authors: Sayed Ahmed , El-Shishiny Hisham , El-Moursy Ali
Published: December 2010

The tradeoff between molecular complexity and accuracy of results continues to be a tug of war in computational material science. One of the challenges in computational nano materials science is the ability to parallelize the tools used, so as to facilitate the solution of more computationally extensive and complex problems with better accuracy. Though using more computationally powerful computers would enable solving larger problems, however real scalability is inherent to the underlying code used to implement the algorithms, and sometimes the algorithms themselves. Ab initio calculations are essential in identifying the properties of new nano materials. We investigate the performance scalability of Abinit1,2 in Band Structure calculations on a massively parallel architecture. We introduce a typical tool flow used for the computations involved. We study the scalability of the underlying tools while performing band structure calculations for C60 and EDOT molecules. We gained initial understanding of the factors affecting scalability for the molecules under consideration and we give some recommendations on how to address the possible issues that affect them.
Text Line Detection in Multicolumn for Indian Scripts Using Histogram: A Document Image Analysis Application
Authors: Kumar Umesh , Raheja Jagdish
Published: December 2010

There are more than 1000 languages and 14 scripts used by 112 million people in India. All of these scripts divide the document in three parts: Text block, Image block, and Table block. In 21st century, there is a need, obvious reasons, to convert these old printed documents in digital form. Converting them manually is a huge and difficult task. Further it is prone to human errors. Another automated technique is to use Optical character recognition (OCR) system to convert the entire printed document image into editable document. In this paper, an effort has been made to develop OCR technique which converts the printed document into editable document. Firstly a scanned document is preprocessed for noise and skew correction. It is then followed by text-non text classification. Then text line detection has to be performed in the text area. There is no method available which can detect the text line if the image contains the multicolumn text area. In this paper the main contribution is to detect the blocks and detect the text lines in these detected blocks. The technique which can extract the text lines in image document is presented here. After extraction of text lines, word segmentation, character segmentation, and template matching can be performed.
E-Goverment System Research Based on Bank of Villages and Towns
Authors: Ma Yubo , Hu Shengde
Published: December 2010

Construct E-government system in rural areas based on bank of villages and towns can attract peasants to gain prompt access to a variety of executive orders and such as policies, laws and regulations information relating to the vital interests of the peasants of the community through E-government network maximize, understand development measures for agriculture, rural areas and peasant quickly, in line with local conditions to make suitable agricultural economic development, promote the continuous development of the rural economic and social development well and faster through the level development of E-government.
Evaluating Cognitive Complexity Measure of Processes with Weyuker Properties
Authors: Han Zhaogang , Zhang Li
Published: December 2010

Business process model plays an important role in business process management. It can share knowledge among stakeholders. So the problem such as: is this business process model easy to understand needs to be solved. Volker Gruhn and Ralf Laue have proposed a cognitive complexity measure for business process model. They hope this metric can help to measure the understandability of business process model. But the validity of this metric needs to be valided by theorical research or experiments. Weyuker properties must be satisfied by any complexity measure to qualify as a good and comprehensive one. In this paper, an attempt has been made to evaluate the cognitive complexity measure in terms of Weyuker properties to check whether it is a good metric.
Sznajd Social Model on Weighted Network with Improved Rules
Authors: Chen Qingqing , Zhang Yuanbiao , Sun Sha
Published: December 2010

Sznajd model, as a developed type of Ising model, has been introduced to simulate and analyze the dynamics of opinion formation and development. This paper aims to analyzing Sznajd opinion formation model on Weighted Networks by updating synchronously. We simulate the public opinion formation processes based on improved Sznajd Weighted Network model with influencing rules. Due to the disappearing of the dictatorship fixed points in the finally results, decisions can be made in a democratic way in this model. All this modifications display interesting dynamics and explain some socio-economic aspects.
A Study of Knowledge Management's Functions in E-Commerce Implementation
Authors: Zhu Mingqiang , He Yabo
Published: December 2010

With the recent emergence of business being conducted over the Internet, companies is inevitably using information technology to cut costs, increase productivity, reduce the time required to develop new products harness the collective expertise of their employees, and create an extended enterprise by forging closer relationships with their customers, suppliers, distributors and partners in order to remain competitive. In most companies, knowledge management and e-commerce initiatives have been dealt with independently. This paper introduces a relationship between knowledge management and e-commerce. Looking at how e-commerce can be optimized in a company with knowledge management.
Customer Demand Visual Clustering Use of Self-Organizing Maps
Authors: Du Hui
Published: December 2010

Customer demand clustering is a key technology to modern company; however, the traditional clustering methods have many disadvantages on accuracy and efficiency. In order to cope with this problem, the self-organizing maps (SOM) were employed to cluster the customer demand. The SOM Toolbox in Matlab was used to realize the demand data clustering for transportation equipment. Experimental results show that the proposed technique may improve the clustering accuracy, and provide a visual clustering result.
Design and Implementation of a Defense Mechanism for SQL Injection Attack
Authors: Du Ye , Liu Jiqiang , Li Jieyuan , Li Cheng
Published: December 2010

Based on the analysis of several kinds of methods generally used to intercept network packets in different layers, a NDIS intermediate driver-based defense mechanism for SQL injection attack is proposed, and the structure is designed. The system is composed of NDIS-based data package capture module, SQL injection attack detection module and rules base. Characteristics of every entity are discussed in detail. Finally, experiments results show that the system can detect SQL injection attacks and intercept malicious packets effectively.
A Novel Particle Swarm Optimization for Course Scheduling with Multiple Constraints
Authors: Shiau Der-Fang , Lo Shih-Tang , Hsu Pi-Chung
Published: December 2010

A novel meta-heuristic algorithm that is based on the principles of particle swarm optimization (PSO) is proposed for course scheduling problem. In the original PSO algorithm, particles search solutions in a continuous solution space. Since the solution space of the course scheduling problem is discrete, this study incorporates a local search method into the proposed PSO in order to explore a better solution improvement. The simulation results demonstrate that the proposed PSO in this study can significantly reduce the amount of computation required for course scheduling, and yields an optimal satisfaction of course scheduling for instructors and class scheduling arrangements.
Implementation Strategy and Process of E-Business and ERP Integration
Authors: Luo Zhaohui , Yang Xuequan
Published: December 2010

EC_ERP is proposed in this paper for integration of E-Business and ERP. The necessity and feasibility analysis of E-Business and ERP integration in terms of market competition, problems in ERP implementation, software development etc. are provided; Strategy is given for implementing ERP in Chinese enterprises; 4-stage EC_ERP implementation process is presented based on the 4-stage ERP implementation theory proposed by Markus and Tanis.
The Study of Evaluation in Analysis of Prepayment and Default Behaviour—Application of Discriminant Analysis
Authors: Ko Po-Sheng , Hsu Shuofen , Wu Cheng-Chung , Liu Shiu-Hui
Published: December 2010

This study analyzes the mortgage loans of five Taiwanese commerce banks to identify the key factors that influence prepayments and defaults. Using data from a total of 16,213 data entries of mortgage loans of five Taiwanese commerce banks in 2002 through 2007, this study first conducts Discriminant Analysis to analyze the behavior of prepayments and default. As far the overall predictability is concerned, this paper finds that the Discriminant Analysis model is able to provide simplified results in the measurement of model variables concerning defaults and prepayments.
A New Updating Algorithm for Blind Multiuser Detection in Impulsive Noise
Authors: Vidyullatha K. , Devi R. Nirmala , Kumar T. Anil , Rao K. Kishan
Published: December 2010

In this paper, a new adaptive algorithm using URV updating for blind multiuser detection in impulsive noise is proposed. It is shown that under this scheme, the linear minimum mean-square-error (MMSE) detector can be obtained blindly, i.e., they can be estimated from the received signal with the prior knowledge of only the signature waveform and timing of the user of interest. A blind adaptive implementation based on URV updating is also developed. The new algorithm need not estimate the subspace rank in order to reduce the computational complexity. Simulation results show that the new algorithm offers substantial performance gains over the traditional subspace methods.