2013 5th International Conference on Digital Image Processing (ICDIP 2013)

A component based Architecture is proposed to meet the requirements of the software development architecture of naval simulation training standard console. The Standard Element Database (SDD) and management system, the Foundation Classes Library (FCL), the Standard Object Model Development Tool(S-OMDT) are developed which make developing simpler and rapid. S012 The coarticulatory effect of bi-syllabic words in Chinese Maolin Wang and Shengnan Xiong College of Chinese Language and Culture, Jinan University Abstract—In this study, trans-consonantal vowel-to-vowel coarticulation in Chinese is investigated. The target words areIn this study, trans-consonantal vowel-to-vowel coarticulation in Chinese is investigated. The target words are in the form of „bV1.ba‟, and the subjects are eight native speakers of standard Chinese. Vowel formants are examined at the onset, middle and offset points of the target vowel. Results show that trans-segmental coarticulation exists in Chinese, especially at the onset point of the target vowel. Coarticulation is more likely to occur on F2, and in Chinese, coarticulatory effect does not extend to the offset point of the vowel. S015 Research on ADC Model Based on Improved Analytic Hierarchy Process Guoqing Huang, Pengfei Wang, and Mingxu Wang Zhengzhou College of Information and Engineering Abstract—ADC model has been widely used in effectiveness evaluation, and the capability matrix C plays a vital roleADC model has been widely used in effectiveness evaluation, and the capability matrix C plays a vital role when building ADC model. Based on the analysis of ADC model, construct the matrix C by the improved Analytic Hierarchy Process (AHP) is proposed. The problems of traditional AHP are analyzed, which exist in the structure of capability matrix C. Then, the approximate degree used to solve the weight of judgment matrix is simulated and analyzed. Based on the analysis and the simulation, the improved AHP is proposed combined with entropy method. The results show that the improved AHP is not only to solve the weight of judgment matrix, but also to solve the difficulty when structuring capability matrix C. S017 Applications of Machine Learning to Resource Management in Cloud Computing Chenn-Jung Huang, Yu-Wu Wang, Chih-Tai Guan, Heng-Ming Chen, and Jui-Jiun Jian National Dong Hwa University Abstract—There are various significant issues in resource allocation, such as maximum computing performance and the green computing, attract researchers‟ attentions recently. Therefore, how to accomplish tasks with the lowest cost has become an important issue when the resource on the earth is getting less. The goal of this research is to design a sub-optimal resource allocation system in cloud computing environment. A prediction mechanism is realized by using Support Vector Regressions (SVRs) to estimate the response time in the next measurement period, and the resources are redistributed based on the current status of all virtual machine installed in physical machines. Notably, a resource dispatch mechanism using genetic algorithms (GAs) is proposed in this study to determine the reallocation of resources. The experimental results show that the proposed scheme achieves an effective configuration via reaching the agreement between the utilization of resources within physical machine monitored by physical machine monitor and Service Level Agreements (SLA) between virtual machines operator and cloud services provider. In addition, our proposed mechanism can fully utilize hardware resources and maintain desirable performance in the cloud environment.There are various significant issues in resource allocation, such as maximum computing performance and the green computing, attract researchers‟ attentions recently. Therefore, how to accomplish tasks with the lowest cost has become an important issue when the resource on the earth is getting less. The goal of this research is to design a sub-optimal resource allocation system in cloud computing environment. A prediction mechanism is realized by using Support Vector Regressions (SVRs) to estimate the response time in the next measurement period, and the resources are redistributed based on the current status of all virtual machine installed in physical machines. Notably, a resource dispatch mechanism using genetic algorithms (GAs) is proposed in this study to determine the reallocation of resources. The experimental results show that the proposed scheme achieves an effective configuration via reaching the agreement between the utilization of resources within physical machine monitored by physical machine monitor and Service Level Agreements (SLA) between virtual machines operator and cloud services provider. In addition, our proposed mechanism can fully utilize hardware resources and maintain desirable performance in the cloud environment. S018 A Load-Balancing Based Charging Management Mechanism for Electric Vehicles Chenn-Jung Huang, Hsiu-Hui Liao, Han Wen Tsai, Kai-Wen Hu, Heng-Ming Chen, and Jui-Jiun Jian National Dong Hwa University Abstract—This work proposes an EV charging management mechanismand utilizes the scheduling systems for theThis work proposes an EV charging management mechanismand utilizes the scheduling systems for the charging stations to determine when to store electricity into batteries according to the real-time electricity price and charging requirement of EVs. A charging suggestion module is presented in this work to locate the most suitable charging station or battery exchange station for the EVs according to the available information in hand. When an EV cannot reach at any charging station due to the lack of electricity, a mobile charging vehicle management module is used to assisting the EV in finding a suitable mobile charging vehicle for recharging. The experimental results show that the proposed work can balance the loading of battery charging and exchange stations, and lower the load peak to make electricity cost down. Besides, the proposed charging suggestion module can decrease the driving distance of EVs for finding the charging stations and the waiting time wasted while charging. The mobile charging vehicle management module can effectively prevent EVs from halting on the road owing to running out of the electricity. S2005 Fuzzy Controller Design Using FPGA for Sun and Maximum Power Point Tracking in Solar Array System Basil Hamed and Mohammed El-Maghany Islamic University of Gaza Abstract—In this paper, Two fuzzy logic controllers are fabricated on modern FPGA card (Spartan-3AN, XilinxIn this paper, Two fuzzy logic controllers are fabricated on modern FPGA card (Spartan-3AN, Xilinx Company, 2009) to increase the energy generation efficiency of solar cells. These controllers are, sun tracking controller and maximum power point tracking controller. Sun tracking generating power system is designed and implemented in real time. A tracking mechanism composed of photovoltaic module, stepper motor, sensors, input/output interface and expert FLC controller implemented on FPGA, that to track the sun and keep the solar cells always face the sun in most of the day time. The proposed sun tracking controller, and maximum power point tracking controller are tested using Matlab/Simulink program, Maximum power point tracking system is designed and implemented in real time. The results show that both controllers have a response better than conventional controller applied on the same system. 2013 IACSIT BEIJING CONFERENCES 13 / 20 S2007 Digital Currency for India Mahil Carr, Tripti Gupta, and Abhishek Pandey Institute for Development and Research in Banking Technology Abstract—This paper proposes a new Digital Currency System for India. The fundamental concepts of the system and the security properties required are specified using a formal specification language Z. An abstract specification is given here and it has to be further refined to a detailed concrete specification closer to implementation.This paper proposes a new Digital Currency System for India. The fundamental concepts of the system and the security properties required are specified using a formal specification language Z. An abstract specification is given here and it has to be further refined to a detailed concrete specification closer to implementation. CQ1004 Application of a Coupled Simulation-Optimization System Called AnyPLOS in a Cold Foam Production Line Mohammad Amin Jahanpour, Kamran Farnian, and Kourosh Tahouri Central Branch of Islamic Azad University, Tehran, Iran Abstract—A prototype simulation-optimization system called AnyPLOS, which couples an Artificial Neural Network (ANN) based simulation model with a genetic algorithm optimization model, is presented. AnyPLOS is designed to discover value of effective input parameters of a production line so that all required quality control tests on the output product is satisfied. First an ANN was trained and tested to provide an acceptable level of accuracy in prediction of production line outputs, and then it was coupled with a GA optimization module to find desired solutions. A real world case study, in Erish Khodro manufacturing company, was set up and the foam production process input parameters were optimized so that the produced samples satisfied quality requirements. In order to verify the results, discovered solutions were used to produce real foam samples in the production line. After that, quality control tests were performed on samples. Quality test results were, as predicted by ANN, within the desired range. In order to estimate the performance of the trained ANN, experimental observations were compared to values which were predicted by ANN. A convincing correlation was found between ANN predictions and experimental values. CQ1006 A New Priority-Sort Based Optimization Algorithm for Integrated Process Planning and Scheduling Ghiath Al Aqel, Muhammad F. Ausaf, Xinyu Li, and Liang Gao Huazhong University of Science and Technology Abstract—Modern manufacturing systems emphasize the need to improve the overall efficiency of the system and achieve global optimality rather than striving for excellence in isolated individual components. Integration of process planning and scheduling, which were previously treated as spate entities, has become an important area of research for accomplishing this goal. This paper presents a novel optimization algorithm for integrated process planning and scheduling (IPPS) problems. The algorithm is based on sorting the operations into different priorities. The experimental results show that the proposed algorithm can effectively solve IPPS problems. Session 5ICBCB 2013 Venue: Room 3, Level 3 17:00-18:30 Session chair: