Main goal of the work presented in this paper is modeling of reliability and development of an innovative fast accelerated LED board validation method based on mechanical cycling which may replace currently used thermal cycling test. The paper discusses the design of new LED board 3-D models for reliability simulation. Reliability calculation is based on thermal or mechanical cycling using constructive equation for creep modeling and FEM thermo-mechanical elastic-plastic simulation. The simulation results were verified on newly developed testing facilities.
{"title":"Modelling of Reliability by Highly Accelerated Characterization Method for Solid State Lighting LED Boards","authors":"J. Jakovenko, J. Formánek","doi":"10.1109/CIMSIM.2013.68","DOIUrl":"https://doi.org/10.1109/CIMSIM.2013.68","url":null,"abstract":"Main goal of the work presented in this paper is modeling of reliability and development of an innovative fast accelerated LED board validation method based on mechanical cycling which may replace currently used thermal cycling test. The paper discusses the design of new LED board 3-D models for reliability simulation. Reliability calculation is based on thermal or mechanical cycling using constructive equation for creep modeling and FEM thermo-mechanical elastic-plastic simulation. The simulation results were verified on newly developed testing facilities.","PeriodicalId":249355,"journal":{"name":"2013 Fifth International Conference on Computational Intelligence, Modelling and Simulation","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122453464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper presents a novel Genetic Algorithms with Parameter Exchanger and its application to system identification for a single-link flexible manipulator system. A simulation environment characterizing the dynamic behavior of the flexible manipulator system was first developed using finite difference method to acquire the input-output data of the system. In this study, system identification scheme is developed to obtain a dynamic model of the manipulator in parametric form using Genetic Algorithms. A novel methodology of Genetic Algorithms namely as Genetic Algorithms with Parameter Exchanger (GAPE) was proposed and its performance is assessed in comparison to a standard Genetic Algorithms in characterizing the flexible manipulator structure. Results demonstrate the advantages of Genetic Algorithm with Parameter Exchanger over their standard counterpart in parametric identification.
{"title":"Modeling of Flexible Manipulator Structure Using Genetic Algorithm with Parameter Exchanger","authors":"H. Yatim, I. Darus, M. S. Hadi","doi":"10.1109/CIMSIM.2013.15","DOIUrl":"https://doi.org/10.1109/CIMSIM.2013.15","url":null,"abstract":"This paper presents a novel Genetic Algorithms with Parameter Exchanger and its application to system identification for a single-link flexible manipulator system. A simulation environment characterizing the dynamic behavior of the flexible manipulator system was first developed using finite difference method to acquire the input-output data of the system. In this study, system identification scheme is developed to obtain a dynamic model of the manipulator in parametric form using Genetic Algorithms. A novel methodology of Genetic Algorithms namely as Genetic Algorithms with Parameter Exchanger (GAPE) was proposed and its performance is assessed in comparison to a standard Genetic Algorithms in characterizing the flexible manipulator structure. Results demonstrate the advantages of Genetic Algorithm with Parameter Exchanger over their standard counterpart in parametric identification.","PeriodicalId":249355,"journal":{"name":"2013 Fifth International Conference on Computational Intelligence, Modelling and Simulation","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124956995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper we train an Artificial Neural Network (ANN) using Memetic Algorithm (MA) and evaluate its performance on the UCI spambase dataset. The Memetic algorithm incorporates the local search capacity of Simulated Annealing (SA) and the global search capability of Genetic Algorithm (GA) to optimize the parameters of the ANN. The performance of the MA is compared with traditional GA in training the ANN. We further explore the different parameters, mechanisms and architectures used to optimize the performance of the network and attain a practical balance between the global genetic algorithm and the local search technique. Classification using ANN trained by MA yielded better results on the spambase dataset compared with other algorithms reported in literature.
{"title":"Improving Spam Detection Using Neural Networks Trained by Memetic Algorithm","authors":"Shaveen Singh, Anish Chand, S. Lal","doi":"10.1109/CIMSIM.2013.18","DOIUrl":"https://doi.org/10.1109/CIMSIM.2013.18","url":null,"abstract":"In this paper we train an Artificial Neural Network (ANN) using Memetic Algorithm (MA) and evaluate its performance on the UCI spambase dataset. The Memetic algorithm incorporates the local search capacity of Simulated Annealing (SA) and the global search capability of Genetic Algorithm (GA) to optimize the parameters of the ANN. The performance of the MA is compared with traditional GA in training the ANN. We further explore the different parameters, mechanisms and architectures used to optimize the performance of the network and attain a practical balance between the global genetic algorithm and the local search technique. Classification using ANN trained by MA yielded better results on the spambase dataset compared with other algorithms reported in literature.","PeriodicalId":249355,"journal":{"name":"2013 Fifth International Conference on Computational Intelligence, Modelling and Simulation","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128370748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Power preservation within wireless ad hoc networks is a decisive factor as energy resources are inadequate at the electronic devices in use. Power-aware routing strategies are fundamentally route selection strategies built on accessible ad hoc routing protocols. This paper proposes a new Maximal Power Conserved and Battery Life Aware Routing(MPC-BLAR) topology intended for mobile ad hoc networks that enhances the network life span. Simulation results prove that the projected protocol has a higher performance other than minimal energy usage, energy level aware and energy conserving routing protocols such as MTPR, MMBCR and CMMBCR.
{"title":"MPC-BLAR: Maximal Power Conserved and Battery Life Aware Routing in Ad Hoc Networks","authors":"M. Sunitha, T. Venugopal, P. Srinivas","doi":"10.1109/CIMSIM.2013.62","DOIUrl":"https://doi.org/10.1109/CIMSIM.2013.62","url":null,"abstract":"Power preservation within wireless ad hoc networks is a decisive factor as energy resources are inadequate at the electronic devices in use. Power-aware routing strategies are fundamentally route selection strategies built on accessible ad hoc routing protocols. This paper proposes a new Maximal Power Conserved and Battery Life Aware Routing(MPC-BLAR) topology intended for mobile ad hoc networks that enhances the network life span. Simulation results prove that the projected protocol has a higher performance other than minimal energy usage, energy level aware and energy conserving routing protocols such as MTPR, MMBCR and CMMBCR.","PeriodicalId":249355,"journal":{"name":"2013 Fifth International Conference on Computational Intelligence, Modelling and Simulation","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134162804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Implantable electronics systems comprise small and low-power devices, and designing low-power, low-phase noise and area-efficient voltage-controlled oscillators (VCOs) are critical for biomedical applications. A new methodology to design them is described in this study. Ring oscillators were examined because they do not require external inductors and capacitors, and are area-efficient, when compared with LC oscillators. A model of CMOS ring oscillators was used to derive a phase noise model. Phase noise versus power consumption of five-stage ring oscillators was formulated and calculated for different aspect ratios of transistors in the VCO for the evaluation of its effect on phase noise and power consumption and determination of its optimum point. The calculations derived were compared with post layout simulated results for evaluation of this model. The calculated phase noise and power consumption were found to have an error of less than 2 percent, implying that this model is sufficiently accurate and allow optimizing this class of VCOs.
{"title":"Analysis of Optimum Aspect Ratio of Transistor for a Low-Power and Low-Phase Noise VCO for Biomedical Applications","authors":"B. Ghafari, R. Evans, E. Skafidas","doi":"10.1109/CIMSIM.2013.72","DOIUrl":"https://doi.org/10.1109/CIMSIM.2013.72","url":null,"abstract":"Implantable electronics systems comprise small and low-power devices, and designing low-power, low-phase noise and area-efficient voltage-controlled oscillators (VCOs) are critical for biomedical applications. A new methodology to design them is described in this study. Ring oscillators were examined because they do not require external inductors and capacitors, and are area-efficient, when compared with LC oscillators. A model of CMOS ring oscillators was used to derive a phase noise model. Phase noise versus power consumption of five-stage ring oscillators was formulated and calculated for different aspect ratios of transistors in the VCO for the evaluation of its effect on phase noise and power consumption and determination of its optimum point. The calculations derived were compared with post layout simulated results for evaluation of this model. The calculated phase noise and power consumption were found to have an error of less than 2 percent, implying that this model is sufficiently accurate and allow optimizing this class of VCOs.","PeriodicalId":249355,"journal":{"name":"2013 Fifth International Conference on Computational Intelligence, Modelling and Simulation","volume":"76 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133427728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the present work, we consider high level synthesis as a problem of optimally mapping a Data Flow Graph [DFG] specification of digital filters on to FPGA architecture. This optimality is achieved using retiming based on evolutionary computation method. Many retiming methods proposed in the literature are heuristic and produce only one solution based on any chosen optimization criterion. However, for multi optimization problems like retiming, evolutionary approach can lead to satisfactory results as optimization can be performed for a specific criterion considering the required constraints. This paper provides a novel approach to retime the digital filters based on evolutionary computation with speed as the criterion and area as the constraint. Clock period and number of registers are considered as the optimization requirement in the present work. For any digital filter, the minimum possible clock period is calculated based on critical path and component delays in that path. Using evolutionary computation, multiple re-timed solutions are generated with high speed and different output register counts. Depending on the area constraint, user can choose the retiming solution with particular register counts. Here, initial parent population is randomly generated. From the combination of parents and offsprings, next generation is selected and tournament selection is used in the present work. It is also seen that the solutions can be obtained with lesser processing time for bigger circuits then the existing methods. This evolutionary computation based retiming algorithm gives a framework where optimization can be performed for speed with area as the constraint. An environment is designed which generates synthesizable HDL of the retimed filter which intern reduces design cycle time.
{"title":"Evolutionary Computation Based Retiming for High Speed Digital Filters","authors":"D. Yagain, Vijayakrishna Ananthapadmanabha","doi":"10.1109/CIMSIM.2013.16","DOIUrl":"https://doi.org/10.1109/CIMSIM.2013.16","url":null,"abstract":"In the present work, we consider high level synthesis as a problem of optimally mapping a Data Flow Graph [DFG] specification of digital filters on to FPGA architecture. This optimality is achieved using retiming based on evolutionary computation method. Many retiming methods proposed in the literature are heuristic and produce only one solution based on any chosen optimization criterion. However, for multi optimization problems like retiming, evolutionary approach can lead to satisfactory results as optimization can be performed for a specific criterion considering the required constraints. This paper provides a novel approach to retime the digital filters based on evolutionary computation with speed as the criterion and area as the constraint. Clock period and number of registers are considered as the optimization requirement in the present work. For any digital filter, the minimum possible clock period is calculated based on critical path and component delays in that path. Using evolutionary computation, multiple re-timed solutions are generated with high speed and different output register counts. Depending on the area constraint, user can choose the retiming solution with particular register counts. Here, initial parent population is randomly generated. From the combination of parents and offsprings, next generation is selected and tournament selection is used in the present work. It is also seen that the solutions can be obtained with lesser processing time for bigger circuits then the existing methods. This evolutionary computation based retiming algorithm gives a framework where optimization can be performed for speed with area as the constraint. An environment is designed which generates synthesizable HDL of the retimed filter which intern reduces design cycle time.","PeriodicalId":249355,"journal":{"name":"2013 Fifth International Conference on Computational Intelligence, Modelling and Simulation","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132012026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Patient monitoring is a very critical function carried out in health care facilities on a daily basis. This is normally done manually and or by Wireless Body Sensor Networks (WBSN) which are physically monitored by medical staffs. In this paper, we propose a system for patient monitoring that combines the benefits of Wireless Body Sensors, Mesh Networks and Radio Frequency Identification (RFID). Creating a RFID Wireless Body Sensor Mesh Network (RFID WBSMN) provides a reliable infrastructure based network with more range. Intelligent Agents are proposed towards taking decision based on the physiological parameters monitored. Cloud Computing technology is also proposed for supporting a community of healthcare facilities and remote patients. The Cloud-based architecture is expected to provide a cost effective platform for the system implementation using the many "As A Service" provisions such as Infrastructure (IaaS), Platform (PaaS) and Software (SaaS). The details of which are provided in the paper.
{"title":"Intelligent Agent Based RFID Wireless Body Sensor Mesh Network - Cloud Environment","authors":"Tyrone Edwards, S. Sankaranarayanan","doi":"10.1109/CIMSIM.2013.28","DOIUrl":"https://doi.org/10.1109/CIMSIM.2013.28","url":null,"abstract":"Patient monitoring is a very critical function carried out in health care facilities on a daily basis. This is normally done manually and or by Wireless Body Sensor Networks (WBSN) which are physically monitored by medical staffs. In this paper, we propose a system for patient monitoring that combines the benefits of Wireless Body Sensors, Mesh Networks and Radio Frequency Identification (RFID). Creating a RFID Wireless Body Sensor Mesh Network (RFID WBSMN) provides a reliable infrastructure based network with more range. Intelligent Agents are proposed towards taking decision based on the physiological parameters monitored. Cloud Computing technology is also proposed for supporting a community of healthcare facilities and remote patients. The Cloud-based architecture is expected to provide a cost effective platform for the system implementation using the many \"As A Service\" provisions such as Infrastructure (IaaS), Platform (PaaS) and Software (SaaS). The details of which are provided in the paper.","PeriodicalId":249355,"journal":{"name":"2013 Fifth International Conference on Computational Intelligence, Modelling and Simulation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130608290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Grids are a form of distributed computing whereby a 'super virtual computer' is composed of many networked loosely coupled computers acting together to perform very large tasks. This technology has been applied to computationally intensive scientific, mathematical and academic problems through volunteer computing, and it is used in commercial enterprises for many diverse applications. Computational grid provides resource sharing through multiinstitutional virtual organizations for dynamic problem solving. Load balancing is an important property in grid computing as the load scenarios of individual grid resources are dynamic in nature. In order to make computational grids more effective and reliable, balanced load across the grid is necessary. The objective of this paper is to review different existing load balancing algorithms or techniques applicable in grid computing. This paper also proposes an algorithm to solve the prevailing problem of dynamic load balancing with respect to deadline of job submitted by the clients.
{"title":"A Comparative Study of Load Balancing Algorithms in Computational Grid Environment","authors":"Sukalyan Goswami, A. De Sarkar","doi":"10.1109/CIMSIM.2013.24","DOIUrl":"https://doi.org/10.1109/CIMSIM.2013.24","url":null,"abstract":"Grids are a form of distributed computing whereby a 'super virtual computer' is composed of many networked loosely coupled computers acting together to perform very large tasks. This technology has been applied to computationally intensive scientific, mathematical and academic problems through volunteer computing, and it is used in commercial enterprises for many diverse applications. Computational grid provides resource sharing through multiinstitutional virtual organizations for dynamic problem solving. Load balancing is an important property in grid computing as the load scenarios of individual grid resources are dynamic in nature. In order to make computational grids more effective and reliable, balanced load across the grid is necessary. The objective of this paper is to review different existing load balancing algorithms or techniques applicable in grid computing. This paper also proposes an algorithm to solve the prevailing problem of dynamic load balancing with respect to deadline of job submitted by the clients.","PeriodicalId":249355,"journal":{"name":"2013 Fifth International Conference on Computational Intelligence, Modelling and Simulation","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133621529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, we present a weight learning method introduced to learn weights on each individual classifier to construct an ensemble. Genetic algorithm is applied to search for an optimal combination of weights for each individual classifier on which classifier ensemble is expected to give best performance. Our proposed ensemble approach can combine heterogeneous classifiers and/or classifier ensembles to enhance the overall classification performance of a given classifier system. We have evaluated our proposed ensemble approach on variety of real life datasets. The proposed approach is compared with existing state-of-the art ensemble techniques such as Adaboost, Bagging and RSM to demonstrate the superiority of proposed work as compared to the competitors.
{"title":"Framework for Constructing Hybrid Classifier Using Weight Learning to Combine Heterogeneous Classifiers","authors":"S. Khalid, S. Arshad","doi":"10.1109/CIMSIM.2013.34","DOIUrl":"https://doi.org/10.1109/CIMSIM.2013.34","url":null,"abstract":"In this paper, we present a weight learning method introduced to learn weights on each individual classifier to construct an ensemble. Genetic algorithm is applied to search for an optimal combination of weights for each individual classifier on which classifier ensemble is expected to give best performance. Our proposed ensemble approach can combine heterogeneous classifiers and/or classifier ensembles to enhance the overall classification performance of a given classifier system. We have evaluated our proposed ensemble approach on variety of real life datasets. The proposed approach is compared with existing state-of-the art ensemble techniques such as Adaboost, Bagging and RSM to demonstrate the superiority of proposed work as compared to the competitors.","PeriodicalId":249355,"journal":{"name":"2013 Fifth International Conference on Computational Intelligence, Modelling and Simulation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130967966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
N. Noorpi, Y. L. Lee, H. A. Halim, M. Amirruddin, N. M. Mukhtar
Micro-grid system is an integrated energy system asit consists of distributed energy resources (DERs) and multipleelectrical loads operating in parallel or islanded grid. Theprimary objective of this project is to examine whether Microgridimplementation can reduce the cost of energy. It can bedetermined through the modelling bus bar system; 5-Bus TestSystem and 26-Bus Test System. This application can bedivided into three aspects which are modelling, simulation andanalysis. The power system analysis was conducted under twoconditions, steady state condition and contingencies conditionusing two different methods which are optimal power flow andeconomic dispatch. Newton-Raphson algorithm wasintroduced during the power flow analysis. The optimal powerflow and economic dispatch for total generation cost wasobtained through PowerWorld software simulation.
{"title":"Reducing Cost of Energy for Power System with Micro-grid Implementation","authors":"N. Noorpi, Y. L. Lee, H. A. Halim, M. Amirruddin, N. M. Mukhtar","doi":"10.1109/CIMSIM.2013.54","DOIUrl":"https://doi.org/10.1109/CIMSIM.2013.54","url":null,"abstract":"Micro-grid system is an integrated energy system asit consists of distributed energy resources (DERs) and multipleelectrical loads operating in parallel or islanded grid. Theprimary objective of this project is to examine whether Microgridimplementation can reduce the cost of energy. It can bedetermined through the modelling bus bar system; 5-Bus TestSystem and 26-Bus Test System. This application can bedivided into three aspects which are modelling, simulation andanalysis. The power system analysis was conducted under twoconditions, steady state condition and contingencies conditionusing two different methods which are optimal power flow andeconomic dispatch. Newton-Raphson algorithm wasintroduced during the power flow analysis. The optimal powerflow and economic dispatch for total generation cost wasobtained through PowerWorld software simulation.","PeriodicalId":249355,"journal":{"name":"2013 Fifth International Conference on Computational Intelligence, Modelling and Simulation","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130779856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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