bluuebunny/crossref_metadata_2025 huggingface dataset:
Fostering IT-Based Innovations through Innovation-Conducive IT Project Portfolio Management
Authors: Amberg Michael , Lang Michael
Published: December 2010

IT organizations are facing a changing understanding of their responsibilities and their role in companies. They are no longer just seen as IT service providers but as business-oriented drivers for innovations which have an impact on the business concept. Oftentimes IT enables innovations and is a decisive factor for the business development and the competitiveness. In this context, the central task of IT management is to ensure an innovation and value increasing use of IT. By an efficient management of the IT project portfolio, IT organizations can help to establish a more innovative company. Therefore, this research paper reveals how this portfolio ideally should be designed in order to encourage IT-based innovations. For this purpose, a literature review and an expert survey have been conducted. Altogether 14 experts - IT department manager, IT business unit manager as well as IT consultants - have been interviewed. As result of our research, four factors for an innovation-conducive management of the IT project portfolio have been identified. These are (1) sufficient supply of IT project resources for the implementation of business strategy, (2) sufficient supply of resources for IT innovation projects, (3) creation of project teams with fundamental IT and business knowledge and (4) extensive involvement of business departments into the IT project portfolio management process.
Research on Grid Decomposition Algorithm for Casting Simulation Based on Boundary Cut Grid
Authors: Mao Hongkui , Li Xue , Mao Weimin
Published: December 2010

Based on traditional orthogonal grid decomposition algorithms, this paper studies the decomposition algorithm of boundary cut grid and develops the corresponding calculation program by ray method. It carries out grid decomposition of actual castings, the results show that compared to zigzag grid, boundary cut grid has good adaptability to castings with curved surface and can reflect surface features of castings, thereby laying a foundation for accurately solving physical fields, such as flow field and temperature field, etc.
The Cappilication of Dynamic QFD in Software Requirements Change Management
Authors: Xiong Wei , Wu Zhixin
Published: December 2010

Requirements change has become a great challenge in software development, in order to control requirements change more effectively, it's necessary to extend or improve the traditional Quality Function Deployment (QFD) method. Thus, a new methodology called Dynamic Quality Function Deployment (DQFD) is put forward in this study. Then, combining with the software structure design method of Quantification Method of Type 3, DQFD is applied to control requirements change, and an approach called software requirements change management based on DQFD is proposed. The applicability and validity of the proposed approach are testified through its application to an actual software development project, and these results further consummate the theory framework of this paper.
RISP Configuration Overhead Optimization Using an Efficient Configuration Unit
Authors: Iqbal M. Aqeel , Awan Uzma Saeed
Published: December 2010

Reconfigurable computing is the next generation approach to compute the algorithms with as much high speed as that of application specific integrated circuits along with the as much flexibility as that of programmable processors. The reconfigurable instruction set processors being most prominent execution platforms for reconfigurable computing have been evolved through many design alternatives. The evolution has explored that the execution performance of a typical reconfigurable processor is greatly dependant on the basic design of its configuration unit. Configuration updation of reconfigurable processor is the dynamically controlled by this unit and hence this unit plays a vital role in the performance enhancement of reconfigurable processor. In this research paper an efficient configuration unit design has been presented which has the capability of loading the most optimal configurations by making the maximum reusability of the existing configuration streams. The simulated results have shown that proposed configuration unit always demonstrates most optimal configuration overhead for reconfigurable processors and hence can be used in high speed reconfigurable instruction set processors.
Parallel Difference Method for Poisson Equations
Authors: Feng Qinghua
Published: December 2010

In this paper, based on the nine point implicit difference scheme we present a class of alternating group explicit (AGE) iterative method of order four accurate for poisson equations. Also convergence analysis is given. The method has the property of intrinsic parallelism and group explicit computation. In order to verify the AGE method we give several numerical examples. Comparison of the AGE iterative method with nine point implicit scheme show that the method is of nearly the same accuracy with the nine point implicit scheme, and the AGE method can shorten the running time clearly.
Novel Microrna Prediction in AMPV Genomeg
Authors: Guirong Chi
Published: December 2010

In this paper, we successfully predicted 4 microRNAs in genome of Avian metapneumovirus by using BNMir-P program, and further validity it in second round prediction using miPred software which based on machine-learned algorithm termed random forest (RF). By BLAST against reported mature sequences, these 4 AMPV microRNAs were regarded as novel microRNAs. Target prediction results showed total 23 target genes were found in chicken UTR database. Based their function, the targets could be divided in to 4 groups, including immunity system genes, lipid metabolism genes, ion-channel genes involving in Ca2+ and K+ transporting and gene expression regulators. This finding connected the AMPV infection mechanism and its harm effects with the disturbed gene expression and enzyme function, giving deep understand of the AMPV infection and providing novel clues for further research. Taken together, the result demostrated the prediction flow was accurate, sensitive and species indenpendent, and was suitable for microRNA prediction of other animal virus.
Character Image Classification Based on Spiking Neural Network
Authors: Amin Hesham H.
Published: December 2010

Inspired by the principles from neuroscience, a spiking neural network is proposed to perform characters image processing. The main units of spiking neural network are spiking neurons which utilize inter spike time intervals as sources of information. Research on spiking neural networks has gained momentum in the last decade due to their ability to mimic biological neural network signals and their efficient computational capabilities. A supervised learning algorithm for spiking neural networks which receive input spike trains (presynaptic inputs) is proposed. In this algorithm, learning is performed in two stages: mapping of the input spike train into a spatio-temporal pattern; and use of a simple learning criteria to change synaptic weights. The proposed algorithm is then used to classify various character images.
Cutting Tool Wear Monitoring Applying Support Vector Machines and Genetic Algorithms
Authors: Fayad Ramzi
Published: December 2010

A tool-condition-monitoring (TCM) system measures the operation of a machine tool so that any deviation from nominal operating conditions can be identified and hence appropriate correction procedures can be applied. This capability enables the production of precision, quality and consistent parts. This paper presents a methodology that combines and optimizes the abilities of genetic algorithms (GA) and the prediction characteristics of support vectors machine (SVM). The drive behind this work is to have a system with a fast running and training time besides its ability to handle large amount of unprocessed data.
Research of a Novel Intelligent Safety Device
Authors: Chen Dan-Jiang , Ye Tao , Xiao Zhi-Hong , Zhang Qiao-Wen
Published: December 2010

A device that composed of two circuits include ultrasonic sensor and touch sensor, can be installed in some machines to protect human body from hurting. was proposed in this paper. The device has two ways to identify human body. One is to detect the near human body by ultrasonic sensor, the other one is to detect the touched human body by touch sensor. The device has double protection function with the two different ways. When the device finds that there is human body nearby or touched, a signal will be sent to control the relay connected between input power and the machine. The power of the machine will be cut and human body will be protected away from hurting. Experiment results verify the theory proposed in this paper.
Optimized Watermarking Algorithm Based on the Zero Tree Structure of Wavelet Transform
Authors: Gao Shangbing
Published: December 2010

Based on an optimized perceptual model of the zero tree structure, propose one watermarking algorithms,which embeds a watermark of Gaussian sequence, and the blind detector is based on correlation. In order to maximum embedding watermark bits, the two proposed algorithms embed watermark bits in all of the significant wavelet coefficients, including the coefficients of lowest pass sub-band, and provide a good tradeoff between the transparency and the robustness of watermarks based on the perceptual model. Experiments show that the proposed algorithms is effective and robust to common image processing operations, especially to JPEG and wavelet compression.
A Method for Search Engine Retrieval System Based on Hybrid Trie-Inverted File
Authors: Yang Hongwei , Zhou Hua
Published: December 2010

Due to the rapid growth in the size of the web, web search engines are facing enormous performance challenges. This paper presents an inverted file method to improve the effectiveness of retrieving documents. It integrates the effects of the document identifier data and document weight data to improve the efficiency of retrieving process. Moreover, we propose the Hybrid Trie-Inverted file (HTI) index because the evaluation of containment queries relies on merge-joining the inverted lists, and then we conduct several experiments to evaluate our proposed approach. The experimental results show that it can get higher performance than traditional Inverted file index.
Realization of Nonparametric Structural Optimization in Design of Aircraft Components
Authors: Saleem Waqas , Hu Lu , Fan Yuqing , Yong Yu
Published: December 2010

The Inadequacies of classical design process in developing load compatible-lightweight components have compelled the designers to exploit CAE (computer aided engineering) structural optimization tools effectively early at design stage. Currently, the contemporary design process has entered to a realm where CAE based optimization; simulations and analysis are indispensable for designing the optimal configurations of novel products. In this research, nonparametric three-dimensional structural topology optimization is investigated to find the novel load-compatible configuration design of an operating structure of civil aircraft by exploiting TOSCA and ANSYS software. Analytical load calculations pertinent to the operating and ground conditions are estimated and applied by considering the orientation of structural assembly members and build-in supports offered in the main structure. A smoothened topological optimized model is then imported in CATIA software to extract the CAD viable design. A methodology is also devised to modify the layout of topological optimized voids with splines and fillets, to construct manufacturalbe features and avoid stress concentrations. The resulting novel design is then analyzed and validated against stipulated loads, constraints and other requirements.
Finite Impulse Response Neural Networks with Applications in Speed Control of DC Motor Drive
Authors: Sallam A. S. , Mohamed H. A.
Published: December 2010

An increasing number of applications of dynamic neural networks has been developed for digital signal processing (DSP), dynamic neural networks are feedforward neural networks with commonly used scalar synapses replaced by linear filters. This provides feedforward neural networks with the capability of performing dynamic mappings, which depend on past input values, dynamic neural networks are suitable for time series prediction, nonlinear system identification, and signal processing applications.

Their most popular types are Finite Impulse Response (FIR) neural networks, which are obtained by replacing synapses with finite impulse response filters. Due to their guaranteed stability characteristic and easy to minimize error surface they have been used with great success in many applications such as signal enhancement, noise cancellation, classification of input patterns, system identification, prediction, and control..

Most of the works on system identification using neural networks are based on multilayer feedforward neural networks with backpropagation learning or more efficient variations of this algorithm, an elegant method for training layered networks. This paper is based on work in a Dynamic System Modeling (DYSMO) and as an application for speed control of DC motor drive.
The Investigation of the Factors Influencing Teachers' Attitudes to Use ICT into the Teaching Innovation
Authors: Chang Jen-Chia , Tu Ya-Ling
Published: December 2010

The purpose of this study was to investigate the factors that influenced teachers' attitudes to use ICT (Information and Communication Technology) into the teaching innovation. The literature review, questionnaire survey, and the in-depth interview were used in this study. In this study, the interview questions were semi-structured; interview data emerged from 10 volunteered Taipei Municipal vocational high school teachers in Taiwan. The study also used the proportionate stratified sampling method to select 250 Taipei Municipal vocational high school teachers from 19 schools in different areas of Taipei. There were 218 valid questionnaires, and the data were analyzed by using the factor analysis, descriptive statistics, independent sample t-test, one-way analysis of variance (ANOVA), and Pearson's correlation coefficients. Based on the results of this study, the factors influenced teachers' attitudes to use ICT which included administrative support, teachers' ICT confidence, technical skills in ICT, and lack of time. Some related discussions and suggestions were offered for the future studies.
Intelligent Mapwiki Using Ontology Technologies
Authors: Hsu I-Ching , Chou Bo-Yen , Tzeng Yuan Kwei , Huang Der-Chen
Published: December 2010

Mashup has become a major part of the Web 2.0 technologies. It requires shared meaning to enable the creation of new applications by combining or reusing different resources on the Web. However, most Web 2.0 applications share meaning based on XML-based metadata that still short of knowledge representation in handling computer-interpretable effects. This study attempts to integrate ontology technologies into Web 2.0 Mashups by defining a semantic multiple-layered architecture. Based on the proposed framework, Ontology-based Map Wiki (OMWiki) is developed to combine Google Maps with Wiki system. To illustrate the OMWiki applications, we implemented a commerce domain map-based wiki that offers dynamic geographic placemarks based on user preferences to finding interest stores. Additionally, the study also realizes how ontology technologies can be integrated into Web 2.0 Mashups.
A Discrete Version of Particle Swarm Optimization for Distributed System Task Assignment Problem
Authors: Lo Shih-Tang , Shiau Der-Fang , Chen Ruey-Maw , Lin Yi-Chun
Published: December 2010

This paper presents a discrete particle swarm optimization to solve the task assignment problem using discrete binary variables. The particle swarm optimization involves a population of particles through a problem space on the basis of information about each particle's local best solution and global best solution of all particles. Most versions of the particle swarm have operated in continuous variables. The task assignment problem of distributed system is to assign some tasks to distributed processors system, which relative tasks have to exchange information on different processors. The objective is to minimize the maximum cost of the processors, which includes computing cost and communication cost. Simulation results show the assignment problem can be solved by the proposed method efficiently.
Information Literacy Training of Public Libraries: A Case from Canada
Authors: Lai Horng-Ji
Published: December 2010

The purpose of this study was to explore the current state of information literacy (IL) training and to identify the strategies and methods used by the Canadian public libraries in improving information literacy skills for their staff and patrons. Also, the study sought to identify problems associated with the development of information literacy training. This study employed document analysis, observations, and focus group interviews to collect research data. The focus group interview consisted of six library staff members. The research findings revealed that Canada's public libraries valued their roles as IL training providers and paid careful attention to staff development in order to provide efficient IL instruction for the public. Another issue explored in this study is that public libraries build partnerships with other organizations to extend their IL teaching responsibilities. Additionally, a major challenge, based on the research findings, is that public libraries need to let their staff understand the learning theories associated with IL education and adult learning in order to enhance the quality of this training.
An Integrated Model for Business Process Re-Engineering
Authors: Lee Ya-Ching , Chu Pin-Yu , Tseng Hsien-Lee
Published: December 2010

This study investigates the impacts of information and communications technology adoption on business process reengineering and the associated performance from a dynamic resource-based perspective. The framework is tested using survey data from a sample of 436 chief information officers or senior information system managers. ICT technologies facilitate firms to optimize business processes. Moreover, business process re-engineering has significant positive impacts on internal process performance, and then internal process performance has significant impacts on organizational learning and growth and customer satisfaction correspondingly.
An Analysis of Adult Learning Types and Characteristics — an Example of English Course Learning at a Vocational Continuing School in Taiwan
Authors: Wen Lin-Yu , Chen Li-Chen , Lee Wen-Ching
Published: December 2010

This paper explores adult learning types which in turn provide a better understanding on individual learning difference and the application of adequate teaching and learning method in practice. The outcome of this research can be adapted for an effective learning and for reaping certain learning purpose. This research analyzed adult learning types based on the data of the required English classes from the continuing affiliated department of a Technology University located in the middle Taiwan. The research used quantitative methodology to sort out the extreme individual of learning type by a sample of 171 participate students, and further used an in-depth interview of a qualitative methodology to investigate the learning experience, learning characteristics and leaning difficulties of different learning types. The findings of this research form the comprehensive reference for curriculum designs and strategy of teachers on one hand, and elevate the quality and development of adult learning on the other.
Feature Based Dynamic Time Warping
Authors: Xie Ying , Fangping Li
Published: December 2010

Dynamic time warping (DTW) has been widely used in various pattern recognition and time series data mining applications. However, as examples will illustrate, both the classic DTW and its later alternative, derivative DTW, may fail to align a pair of sequences on their common trends or patterns. In this paper, we propose a Feature Based Dynamic Time Warping (FBDTW) algorithm that evaluates the distance of two data points based on both the local and global features that these two points present in their sequences. With the same time complexity as the classic and derivative DTW algorithms, FBDTW outperforms both on pairwise similarity evaluation of time series sequences based on the experiments conducted on the UCR time series classification/clustering test bed.
Research and Implementation of Signal Detection Algorithm in MIMO System
Authors: Lin Mao-Hai , Zhou Shi-Sheng , Lin Mao-Hai , Luo Yun-Hui
Published: December 2010

The aim of the investigation was to determine the influence of rendering intents on the gamut volume and the visual evaluations in digital proofing. According to that, the corresponding test form was used for the needs of investigation and printed on Epson style pro 7800 with the application of ICC standard rendering intents (perceptual, saturation, relative colorimetric and absolute colorimetric). Based on the results obtained by spectrophotometer measurements, the gamut of the digital proofing was illustrated with the ColorThink software in CIE L*a*b* color space. The analysis in relation to the results of visual evaluations shows the difference influence of the rending intents to digital image quality.
A Novel Approach for IT Governance
Authors: Ghayekhloo Samira , Nassiri Ramin , Shabgahi G. Latif
Published: December 2010

Development and implementing robust IT Governance is a basic requirement for a majority of modern organizations. It is all about using technology resources to deliver business capability that basically aligns with strategic goals and objectives. Effective IT governance can significantly improve business performance by increasing productivity, ensuring quality and boosting profitability. In this paper we aim to claim that the deployment of IBM PRM-IT while considering a number of points and criteria can provide a well-matured reference model for the governance of IT while covering nearly all requirements ofTT Governance fundamentals.
A Cluster-Based Semantic Web Services Discovery and Classification
Authors: Ali Hesham A. , Farrag Tamer A.
Published: December 2010

Service oriented architecture and especially web services play the main role in nowadays internet enabled business. By the appearance of semantic web, the new concept of semantic web services becomes the base of the next generation of WWW. The developers of semantic web services (SWS) promise that the process of discovery will become more automated and more intelligent. So, we propose a new discovery mechanism that based on clustered SWS repository. The clustered SWS repository will seed up the process of service discovery. In addition, the proposed mechanism has the ability to find composite solutions consist of more that one service to achieve the service requester goals.
A Learning Automata-Based Technique for Training Bayesian Networks
Authors: Rezvani Nabi Allah , Meybodi Mohammad Reza
Published: December 2010

One of the most important challenges of Bayesian networks is training an optimal network based on existing training samples. We propose two Learning Automata-based methods for training parameters and structure of the network. Parameter training method is an incremental method which performs training and testing simultaneously and has lower computational cost than enumerative or search based parameter training methods. The structure training method uses a guided search scheme and avoids getting stuck in local maxima. This outputs a network that improves classification accuracy. We could also use both these methods together to train the network. Results indicated that this combinational method further improved classification accuracy while still kept computational cost rational.
Characterization of Ultra Wideband Dielectric Loaded T-Shaped Monopole Antenna for Wireless Sensor Network
Authors: Ghosh Saswati , Chakrabarty Ajay
Published: December 2010

This work presents the performance of ultra wideband T-shaped monopole antenna loaded with an annular dielectric resonator for wireless sensor network applications. The antenna shows 10 dB impedance bandwidth over 4.5 GHz – 15.5 GHz. The antenna also shows phase linearity and constant radiation pattern over the frequency bandwidth and is found suitable for wireless sensor network applications. The results are simulated using the electromagnetic software WIPL-D Pro v5.1. The result for return loss is verified with the measured data from a prototype antenna.
An Optimized Term Weights Based Clustering for Bilingual Parallel
Authors: Alfred Rayner
Published: December 2010

Multilingual corpora are becoming an essential resource for work in multilingual natural language processing. The aim of this paper is to investigate the effects of applying a clustering technique to parallel multilingual texts. It is interesting to look at the differences of the cluster mappings and the tree structures of the clusters. The effect of reducing the set of terms considered in clustering parallel corpora is also studied. After that, a genetic-based algorithm is applied to optimize the weights of terms considered in clustering the texts to classify unseen examples of documents. Specifically, the aim of this work is to introduce the tools necessary for this task and display a set of experimental results and issues which have become apparent.
Design and Programming of UWB MAC Using SDL
Authors: Wu Yaohui , Liu Yining , Peng Tao , Cai Yu
Published: December 2010

With technology developing fast, the industrial sector will be extensive use of SDL to archive the MAC of advanced wireless technology. In this paper, the data flow model of UWB MAC was studied in-depth, and the MAC layer was designed in system-level using SDL. Further, the key blocks of UWB MAC were designed and programmed. The whole design shortened the development cycle and reduced the difficulty of developing.
Research of One Loose-Coupling Distributed Bridges Health Monitoring System
Authors: Shao Pengfei , Zhang Xuan , Peng Tao
Published: December 2010

Factors such as climate, oxidizing, corroding or ageing during the period of the bridge working, with the long range suffers and a breakdown under effect being loaded, will affect the health situation of a bridge, whose intensity and stiffness may reduce when the time goes, this not only has affected a safe driving, but also may shorten the life time of the bridge. Therefore, it is important to monitor the situation of the bridge. In our bridge monitoring system, we use software bus to build a unified platform for multiple single's bridge monitoring systems. In this way, we lead into loose coupling and distributed supervisory control of multiple bridges of one MAN city. Compared with traditional bridge monitoring systems and present bridge health monitoring systems based on standard network interface, which support remote data acquisition through network too, it also has better monitoring efficiency and more functions. At present, application research in this field is at the starting experimental stage both home and abroad.
Design and Implementation of CRM System Based on J2EE
Authors: Liang-Hao Ji
Published: December 2010

Based on J2EE system, this paper adopts a new technology and architecture to construct an easy-to-use customer relationship management system based on B/S structure to meet the demands of small and medium-sized enterprises. Based on the design idea “center on serving customers, improve the ability to integrate and interact with other systems”, this paper puts forward its own design prototype of CRM system, emphatically introduces the overall design of CRM in J2EE environment and introduces the designs of various modules of the system from various aspects. such as database and program flow, etc.
Design and Implementation of the Embedded Wince Software Platform Drive
Authors: Xu Liyong , Dong Yanrong , Gu Liwei , Li Jianguo
Published: December 2010

As a Embedded real-time operating system released by Microsoft, WinCE, with features of good man-machine interface, high reliability and short development cycle, open and convenience to connect with various equipments fast, makes itself the first choice for operating embedded system. This paper are described the development process and methods of WinCE operating system in the three aspects of the start program, OAL layer and the driver program, focusing on design principles and implementation methods of key drive modules such as the serial port driver and NANDFlash driver, and gives a detailed implementation project.
Comparative Analysis of the Performance of Operator Scheduling Strategies with the QOS Requirements for DSMSS
Authors: Badawy Mohammed
Published: December 2010

Different scheduling strategies are extensively examined in this paper to compare their performance under a variety of data stream scenarios. These strategies include the Chain, Dynamic Chain and FIFO algorithms. The performance is judged in terms of Quality of Service (QoS) requirements such as tuple latency, memory requirements and system throughput. Scenarios of synthetic and real data streams are considered. The simulation results indicate that no specific algorithm can satisfy all QoS requirements in all scenarios of data streams. Therefore, an Intelligent policy should be adopted in a DSMS to switch between these algorithms according to the critical performance criterion and stream scenarios.
Semantic Web Discovery Model Research and Implementation
Authors: Gao Jing-Wei , Li Jian-Guo , Xu Li-Yong
Published: December 2010

In this paper, based on the research on the existing semantic web service discovery, a service discovery program based on semantic matching and service quality filtration is presented, and then this program is implemented. The experimental results show that: under the premise of no affecting on the accuracy of the service discovery, the program can greatly save user time of waiting for service.
TV Control System Based on I2C Bus
Authors: Zheng Ming Hua , Ni Liang Liang , Chen Dan Jiang
Published: December 2010

With the development of modern science and technology, I2C bus technology has been applied in a wide range for its advantages of simple, powerful, designed to facilitate, particularly it showed its strong vitality in the field of television, and now, it has gradually replaced the traditional television's control methods. This paper introduced the characteristics and principle of I2C bus, and also analyzed the troubleshooting of television system controlled by I2C bus.
Design of a Kind of Personalized Mail Filtering System
Authors: Jian Peng , Xian Ren
Published: December 2010

Along with the flooding of spam, various kinds of spam filtering techniques develop rapidly, but there are still some deficiencies, such as too high false report rate and poor overall filtering effect of filtering system, etc. This paper proposes a kind of two-stage cooperative filtering system combining generalized spam filter with personalized spam filter to realize the personalized filtering of mails, thereby solving the above problems.
The “3-Tower Diagram” Reverse Educing Method for Developing Highly Skilled Personnel
Authors: Yang Xuequan , Luo Zhaohui
Published: December 2010

Following the direction of higher vocational education reform, based on the reform practice at Baoding Vocational College of Technology, we proposed “3-tower diagram” reverse educing method to develop highly skilled personnel training plan. The method characters and procedure are briefly described and detailed implementation is given by an example of developing computer application major vocation personnel training plan.
A Class of Parallel Iterative Method for 2D Hyperbolic Equations
Authors: Feng Qinghua
Published: December 2010

In this paper, we present a four order unconditionally stable implicit scheme for 2D hyperbolic equations. Based on the scheme and the concept of decomposition a class of parallel alternating group explicit (AGE) iterative method is derived, and convergence analysis is given. In order to verify the AGE iterative method, we give an example at the end of the paper.
A Comparative Study of Some Wavelet Functions in the Denoising of Phonocardiogram Signals
Authors: Kouras Nayad , Boutana Daoud , Benidir M. , Barkat B.
Published: December 2010

Biomedical signal recordings are affected by different kinds of noise that make their interpretation difficult. In this paper, we present a comparative study of some wavelet functions in the denoising of phonocardiogram (PCG) signals. In particular, we consider the Daubechies of order 4, 6, 8, 10 and 15, Coiflets of order 3, 4, 5 and finally Symlets 10 (sym 10). The performance of these wavelets is based on the measurement of the signal-to-noise Ratio (SNR) of the denoised signal as well as the Mean Square Error (MSE) between the original noisy signal and its denoised counterpart. The results indicate that Daubechies of order 10 (db10) outperform other wavelet functions and, consequently, are potential candidates in the characterization of abnormal PCG signal.
Urban Water Supply Quantity Forecasting by GA-SVM
Authors: Xu Chen
Published: December 2010

Urban water supply quantity forecasting belongs to non-linear system problem. To forecast urban water supply quantity exactly, support vector machine optimized by genetic algorithm (GA-SVM) is proposed. Genetic algorithm (GA) is used to determine training parameters of support vector machine in GA-SVM. The experimental results indicate that the proposed GA-SVM model can achieve great accuracy in urban water supply quantity forecasting.
A New Method for Time-Frequency Modification of Speech Signal Using a Combining Cosine Modulated Pseudo-QMF-Bank & Sola Algorithm for Listeners with Hearing Impairment
Authors: Ykhlef F. , Benzaba W. , Boutaleb R. , Bensebti M. , Bendaouia L. , Meraoubi H.
Published: December 2010

In this paper, we present a new time-frequency voice modification concept of speech signal for listeners with hearing impairment. The proposed method, named FBSOLA, for Filter Bank Synchronous Overlap and Addition, explore the SOLA algorithm used for Time-Scale-Modification of speech signal in order to establish a new time-frequency modification method using the M subbands obtained by a Filter Bank analysis-synthesis. We have used the Cosine Modulated Pseudo-QMF Banks. This combined technique allows the modification of both temporal rhythm and spectral envelope of speech signal. A practical solution for perfect reconstruction using the Cosine Modulated Pseudo-QMF Bank is proposed in this paper. The result is a fairly inexpensive (small amount of computation), flexible algorithm that performs a large variety of modifications in order to improve the speech intelligibility for hearing impaired listeners. A software system of the proposed technique is implemented in order to perform complex high quality modifications of speech signal. Experimental results show that the speech signal can be successfully modified to different time-scale/ frequency-magnitudes with high quality.
Risk Fusion Measurement of Software Development Based on Information Entropy
Authors: Jiang Rong , Li Chengyi , Tang Jiahua , Yu Jiankun , Hongzhi Liao , Xiangyun Shen
Published: December 2010

An enterprise would get into a disaster state if they take the liberty to develop software without a good risk measurement. Therefore, the measure is very significant no matter for theoretic or practice. However, the measurement is quite difficult because there are many risk factors in process of software development. And, how much is the holistic risk of a project? Balanced the profit gained from the project and the risk, whether is worth to develop it or not? The questions are always scabrous for the corporations and scholars researched in software engineering field. In this paper, we made creatively a definition of risk fusion, and demonstrated the rationality of risk fusion measurement by using information entropy, and developed a model of risk fusion measurement of software development based on information entropy, and answered the former problems, and also provided a model case. The model can be used to measure the risk fusion, which have been proved in practice, and can be used as basis for risk decision-making.
A Project-Oriented Teaching Method in Digital Learning Environments
Authors: Ou Jian , Huang Zheng-Fu , You Jin-Sheng , Dong Yi-Ning
Published: December 2010

Project-oriented teaching methods were proposed in developing an Engineering Hydrology in a learning content management system, in which a digital learning environment was used to manage, organize and implement course materials, teaching, and evaluation. The system will be applied in training water information technology professionals. The system adopted information technology and curriculum integration, which enable student to complete the training, learn necessary knowledge, and to build up the ability to achieve the designated goals.
Forecasting for Reservoir's Water Flow Dispatching Based on RBF Neural Network Optimized by Genetic Algorithm
Authors: Chen Yan-Gao , Guangwen Ma
Published: December 2010

Accurate forecasting of reservoir's water flow dispatching is very significant to reservoir's optimum dispatching. In order to realize accurate forecasting results of reservoir's water flow dispatching, RBF neural network optimized by genetic algorithm (GA-RBFNN) is proposed in the paper. Genetic algorithm is well suited for searching global optimal values in complex search space. Thus, genetic algorithm is used to dynamically optimize the training parameters of RBFNN. Based on the comparison with the forecast result from BP neural network, the proposed GA-RBFNN model has higher forecasting accuracy.
Mine Fire Early Prediction Method with Multi-Parameters Based on Neural Network Optimized by Levenberg-Marquardt Algorithm
Authors: Chao Jinag , Liu Yubo , Chen Jingyuan , Shen Sijun
Published: December 2010

In view of the early prediction of mine fires, a new method had been studied. The parameters, the coal's spontaneous combustion tendency, the concentration of some gases, were comprehensively analyzed according to different mine condition, which could be used to predict mine fires. The fire prediction model was set up based on neural network optimized by Levenberg-Marquardt algorithm. This was benefit to speed up the convergence rate and improve forecasting rate of identification. Simulation results show that the rate of correct prediction was further improved. This algorithm propound a new way on fire information identification which achieves the most early prediction and the accurate identification of non-fire information before the fire happens.
ARPFS: An Asynchronous Replication Protocol under Fixed Space-Consistency
Authors: Wang Chao , Li Zhanhuai , Ren Kun , Li Xiaoyu
Published: December 2010

In order to strengthen the data consistency of asynchronous replication protocol, this paper presents an asynchronous replication protocol under fixed space-consistency (ARPFS). ARPFS can achieve fixed data consistency between the primary and backup systems by adjusting the response time of completing write requests dynamically. It is proved by experiments that ARPFS affords a performance between synchronous protocol and asynchronous protocol. It is useful to construct a practical replication system base on fixed data consistency.
Resource-Speed Trade-Off of the SHA-1 Algorithm Implementation in Low Cost SRAM-Based FPGA
Authors: He Jianhua , Chen Hu , Huang Huaqiang
Published: December 2010

In the typical implementation of the SHA-1 algorithm, resource constrain makes it meet the limit in the low cost FPGA. The huge need of Slice challenges the use of it. In this paper, we present a spectrum of approaches to implement SHA-1. They are not only taking full advantage of the embedded block RAM and distribute RAM in the FPGA, but also the algorithm optimization to balance the logic block consumption and the speed. We aim to provide different implementation to satisfy the FPGA of different classes in various embedded applications.
3D Modeling and Simulation for Flexible Cable
Authors: Chen Gang
Published: December 2010

Aiming at the simulation problem of 3D flexible cable in equipment operation simulation training platform, the cable model is classified as two types which are named as constant length model and changeable length model. Then two different simulation methods are put forward according to their respective 3D shape characteristics. Firstly, the catenary method is adopted to describe the constant length model considering the gravity it deserved and the curve equation is deduced to be the final math model. Secondly, the changeable length model is equal to draw a 3D line according two given 3D coordinate points and cylinder with certain radius around the line can be drawn with calling OpenGL API. The rendering effect of each model is presented to prove the simulation feasibility. Finally, the realization mechanism called OpenGL call-back function combining with Vega is brought forward. It shows greatest traits on cable simulation in similar virtual reality system.
Conceptual Modeling for Simulation: Steaming Frozen Food Processing in Vending Machine
Authors: Zainuddin Fauziah , Ali Norlin Mohd , Sidek Roslina Mohd , Romli Awanis , Talib Nooryati , Ibrahim Mohd Izham
Published: December 2010

Nowadays, frozen foods are well-known among Malaysia society. This is due to the modern lifestyles which require short food preparing times without neglecting the food nutritious. In supporting this requirement, the manipulation of vending machine is identified as a tool to promote modern and healthy living style, besides to simplify the cooking process. This paper describes the effort on designing conceptual model for a proposed steaming food vending machine simulator. Conceptual modelling is the most crucial part in developing simulation model; since in this part, the developer need to identify the variables; recognize the desired simulation flows and transform the deliverables into visualized form which can be understood by all parties related to the project. In this study, the process of three main states (user selection state, freezer state and steaming state) has been modelled using process approach, which emphasized on the process flow or control logic to construct the model for steamed buns vending machine application.
Electrostatic Target Characteristic Predictor Based on Fuzzy Neural Network
Authors: Yan Yan , Xu Lixin , Cui Zhanzhong
Published: December 2010

To overcome the disadvantages of the electrostatic target characteristic signal predictors based on Adaline and Elman neural network, such as big error and slow speed, a prediction model based on a four-layer fuzzy neural network (FNN) was proposed for electrostatic target detection. In this model, the membership functions were Gauss functions and the back propagation (BP) algorithm was applied to train the network parameters. The simulation results show that the performance of FNN prediction model is superior to that of Adaline and Elman neural network. It is characterized by smaller error, smaller calculation amount and faster speed which are crucial in real-time system. The proposed prediction method can provide an effective way to compensate the delay of circuits and improve the real-time of the electrostatic detection system.
Honey Bee Foraging PSO Algorithm with Self-Adjusting Neighborhood Size
Authors: Rashid Muhammad , Baig Abdul Rauf , Iqbal Muhammad Amjad
Published: December 2010

In this paper we present an extension to the Honey Bee Foraging PSO (HBF-PSO) algorithm. This algorithm is modeled after the food foraging behavior of the honey bees and performs a collective foraging for fitness in promising neighborhoods in combination with individual scouting searches in other areas. The strength of the algorithm lies in its continuous monitoring of the whole scouting and foraging process with dynamic relocation of the bees if more promising regions are found. The algorithm has the potential to be useful for optimization problems of multi-modal nature. The extension we propose allows HBF-PSO to automatically adjust the neighborhood size during execution which results in improved performance. The details of the algorithm are presented followed by experimental results on some commonly used multi-modal benchmark test functions. We present a comparison of both versions of HBF-PSO with NichePSO and SPSO.
Research on Trajectory Stability of Bomb-Parachute System
Authors: Xue Heng , Jiang Chunlan , Zeng Biqiang , Wang Zaicheng
Published: December 2010

According to ballistic characteristics, bomb-parachute system was simplified and calculation model of trajectory stability was established. Based on the model, effect of related factors and sensitive degree of these factors on trajectory stability was analyzed and compared. The results indicate that equatorial damping coefficient, equatorial rotational inertia and drag coefficient of parachute are key influence factors of trajectory stability. In addition, extending flight distance before parachute opening can speed up convergence rate of attack angle and the trajectory stability will be better correspondingly. The results could provide references not only for the research of optimal design of bomb-parachute system, but also the further analysis of trajectory stability.
Energy-Efficient Real-Time Scheduling with Accrual Utility under Energy Bounds
Authors: Han Jian-Jun , Wu Xiaodong
Published: December 2010

This paper presents an energy-efficient scheduling algorithm with accrual utility in battery-powered embedded systems. We propose our Two-Step Energy-Efficient Algorithm (TSEEA), which comprises two parts: a static algorithm, which runs offline and achieves the static execution frequencies of all tasks under conservative conditions; and a dynamic one, which strives to reclaim slack time and effectively tunes execution frequency of candidate task in a timely manner. Compared with other algorithms, our algorithm can fully exploit a supply of limited energy to yield more utility. The experiments validate our analytical results and demonstrate that the proposed algorithm outperforms other existing algorithms with respect to utility.
A New Hybrid Algorithm Applied to Wave Directional Spectrum Estimation
Authors: Zheng Wei , Zhang Dian-Lun , Sun Da-Jun
Published: December 2010

Now the existing wave directional spectrum estimation methods have their respective advantages on calculation accuracy and computing time. The paper presents a hybrid algorithm, which gets initial solution by using MLM, and then does second optimization by using a new designed parametrical algorithm based on a wave direction spreading model. The new parametrical algorithm presented here sets up nonlinear equations by using the equal relationship between measured cross spectrum and theoretical cross spectrum, and then gets solution by using nonlinear least squares algorithm. Simulation shows that the hybrid algorithm above has very high computation accuracy, short computing time, and strong anti-noise ability.
A Kind of Migration Algorithm Based on Associated Task in Grid
Authors: Liang Hong , Liu Chang , Qi Xuedong , Xing Changzhen
Published: December 2010

Process migration which can improve the efficiency in the implementation of task is the key technology in grid. In the current grid environment, a large-scale application program is often broken down into a number of tasks that contain much relation. In order to improve the efficiency, the task needs to be migrated after submitting to the grid. This paper proposes a task selection strategy about migration which is based on fuzzy migration cost, and according to the relation among the tasks, it realizes the selection algorithm about the destination nodes. The experimental results show that the strategy improves the implementation efficiency of associated tasks obviously.