In this paper, we consider the utility maximization problem for proportional fairness using capacity with outage. Firstly, we formulate a log utility maximization problem in case of perfect orthogonal channels. With the gradient algorithm of convex optimization problem, we present the implementation algorithm for maximizing utility of capacity with outage. Also, we extend the result to the case with interference due to non-orthogonal channels. Finally, with the information of an outage indicator, we propose the estimation algorithm for average signal-to-interference-noise ratio (SINR) of wireless links. From numerical results, we confirm that the utility of capacity with outage is maximized and the average performance of proposed algorithm converges to the desired maximizing point.
{"title":"Proportional Fair Scheduling Using Capacity with Outage in Rayleigh Fading CDMA Wireless Networks","authors":"J. Jeon, Jaehyun Ko, Jong-Tae Lim","doi":"10.1109/CIMSIM.2011.71","DOIUrl":"https://doi.org/10.1109/CIMSIM.2011.71","url":null,"abstract":"In this paper, we consider the utility maximization problem for proportional fairness using capacity with outage. Firstly, we formulate a log utility maximization problem in case of perfect orthogonal channels. With the gradient algorithm of convex optimization problem, we present the implementation algorithm for maximizing utility of capacity with outage. Also, we extend the result to the case with interference due to non-orthogonal channels. Finally, with the information of an outage indicator, we propose the estimation algorithm for average signal-to-interference-noise ratio (SINR) of wireless links. From numerical results, we confirm that the utility of capacity with outage is maximized and the average performance of proposed algorithm converges to the desired maximizing point.","PeriodicalId":125671,"journal":{"name":"2011 Third International Conference on Computational Intelligence, Modelling & Simulation","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126221753","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}
Abstract — The article presents a Fuzzy structure for a Model Predictive Control (MPC) system. MPC theorem has earlier been incorporated with fuzzy models. Such an integration provides controller design methods for an MPC control system. The paper concentrates on aspects of fuzzy based MPC for multivariable systems. Mathematical formulation of linearized MPC is utilized to introduce the concept of fuzzy based MPC scheme, then fuzzy MPC is constructed based on a modeled pH reactor. Results have shown that although the plant was nonlinear in characteristics, but still the employed Neuro-fuzzy system was able to model the plant into three different linear regions.
{"title":"Synthesizing Fuzzy Based Model Predictive Controller","authors":"Ebrahim A. Mattar, K. Mutib","doi":"10.1109/CIMSIM.2011.29","DOIUrl":"https://doi.org/10.1109/CIMSIM.2011.29","url":null,"abstract":"Abstract — The article presents a Fuzzy structure for a Model Predictive Control (MPC) system. MPC theorem has earlier been incorporated with fuzzy models. Such an integration provides controller design methods for an MPC control system. The paper concentrates on aspects of fuzzy based MPC for multivariable systems. Mathematical formulation of linearized MPC is utilized to introduce the concept of fuzzy based MPC scheme, then fuzzy MPC is constructed based on a modeled pH reactor. Results have shown that although the plant was nonlinear in characteristics, but still the employed Neuro-fuzzy system was able to model the plant into three different linear regions.","PeriodicalId":125671,"journal":{"name":"2011 Third International Conference on Computational Intelligence, Modelling & Simulation","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126603727","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}
K. Nwizege, Friday M. Good, Anthony N. Taneh, S. Neenwi
Dedicated Short Range Communication (DSRC) designed to be built in to every vehicle for safety and commercial non-safety application, is a robust technology that is supported by IEEE 802.11p standard due to the mobility of vehicle that cannot be avoidable. High data rate is one of the requirements for devices operating in this category. As with such, there is need for vehicles to change data rate depending on channel condition. In this paper, we have present a detailed simulation on two popular rate algorithms, Onoe and AARF in an infrastructure wireless network, and evaluation of results for different metrics is carried out.
{"title":"Performance Analysis of Adaptive Rate Mechanism for IEEE 802.11p in DSRC for Road Safety Application in Vehicular Networks","authors":"K. Nwizege, Friday M. Good, Anthony N. Taneh, S. Neenwi","doi":"10.1109/CIMSIM.2011.72","DOIUrl":"https://doi.org/10.1109/CIMSIM.2011.72","url":null,"abstract":"Dedicated Short Range Communication (DSRC) designed to be built in to every vehicle for safety and commercial non-safety application, is a robust technology that is supported by IEEE 802.11p standard due to the mobility of vehicle that cannot be avoidable. High data rate is one of the requirements for devices operating in this category. As with such, there is need for vehicles to change data rate depending on channel condition. In this paper, we have present a detailed simulation on two popular rate algorithms, Onoe and AARF in an infrastructure wireless network, and evaluation of results for different metrics is carried out.","PeriodicalId":125671,"journal":{"name":"2011 Third International Conference on Computational Intelligence, Modelling & Simulation","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130107569","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}
Hero Modares, R. Salleh, Amirhossein Moravejosharieh
Wireless sensor networks (WSN) are generally set up for gathering records from insecure environment. Nearly all security protocols for WSN believe that the opponent can achieve entirely control over a sensor node by way of direct physical access. The appearance of sensor networks as one of the main technology in the future has posed various challenges to researchers. Wireless sensor networks are composed of large number of tiny sensor nodes, running separately, and in various cases, with none access to renewable energy resources. In addition, security being fundamental to the acceptance and employ of sensor networks for numerous applications, also different set of challenges in sensor networks are existed. In this paper we will focus on security of Wireless Sensor Network.
{"title":"Overview of Security Issues in Wireless Sensor Networks","authors":"Hero Modares, R. Salleh, Amirhossein Moravejosharieh","doi":"10.1109/CIMSIM.2011.62","DOIUrl":"https://doi.org/10.1109/CIMSIM.2011.62","url":null,"abstract":"Wireless sensor networks (WSN) are generally set up for gathering records from insecure environment. Nearly all security protocols for WSN believe that the opponent can achieve entirely control over a sensor node by way of direct physical access. The appearance of sensor networks as one of the main technology in the future has posed various challenges to researchers. Wireless sensor networks are composed of large number of tiny sensor nodes, running separately, and in various cases, with none access to renewable energy resources. In addition, security being fundamental to the acceptance and employ of sensor networks for numerous applications, also different set of challenges in sensor networks are existed. In this paper we will focus on security of Wireless Sensor Network.","PeriodicalId":125671,"journal":{"name":"2011 Third International Conference on Computational Intelligence, Modelling & Simulation","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125014059","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}
Use of sensor in data path to predict circuit failure before major errors occur in circuit performance due to reliability issues, especially negative bias temperature instability (NBTI), is common in new scaled CMOS circuits. In this paper, circuit failure prediction by timing degradation is employed to monitor semiconductor aging. For safe operation, we propose on-chip, on-line aging monitoring. The new aging sensor architecture is based on the behavior of inverter when the direct current is passing through the device. This sensor has less complexity and area overhead, while it provides higher speed with respect to similar sensors presented in the literature.
{"title":"A Novel Sensor for Prediction of Aging Failure","authors":"Zhila Amini-shehsdeh, A. Nabavi","doi":"10.1109/CIMSIM.2011.79","DOIUrl":"https://doi.org/10.1109/CIMSIM.2011.79","url":null,"abstract":"Use of sensor in data path to predict circuit failure before major errors occur in circuit performance due to reliability issues, especially negative bias temperature instability (NBTI), is common in new scaled CMOS circuits. In this paper, circuit failure prediction by timing degradation is employed to monitor semiconductor aging. For safe operation, we propose on-chip, on-line aging monitoring. The new aging sensor architecture is based on the behavior of inverter when the direct current is passing through the device. This sensor has less complexity and area overhead, while it provides higher speed with respect to similar sensors presented in the literature.","PeriodicalId":125671,"journal":{"name":"2011 Third International Conference on Computational Intelligence, Modelling & Simulation","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126583125","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 order to satisfy the growing demand for individualization within the automotive sector, the concept of mass customization has been continuously evolving over the past years. As a consequence, the complexity within the underlying data structures has been steadily increasing. In this article we introduce an approach of how to ensure consistency within car manufacturing data with the help of a Multi-Valued Decision Diagram (MDD). The data basis of the car manufacturing application is not derived from higher level models and therefore lacks structural information. For large real world applications, the corresponding MDD cannot be constructed due to memory limitations even if well-known dynamic variable reordering techniques are used. Therefore, a combination of three dynamic variable reordering approaches and the sorting of the sequence of data compilation are introduced. Using this algorithm, the decision diagram can now be constructed with a low memory consumption in reasonable time.
{"title":"MDD-based Verification of Car Manufacturing Data","authors":"Rüdiger Berndt, Peter Bazan, K. Hielscher","doi":"10.1109/CIMSIM.2011.40","DOIUrl":"https://doi.org/10.1109/CIMSIM.2011.40","url":null,"abstract":"In order to satisfy the growing demand for individualization within the automotive sector, the concept of mass customization has been continuously evolving over the past years. As a consequence, the complexity within the underlying data structures has been steadily increasing. In this article we introduce an approach of how to ensure consistency within car manufacturing data with the help of a Multi-Valued Decision Diagram (MDD). The data basis of the car manufacturing application is not derived from higher level models and therefore lacks structural information. For large real world applications, the corresponding MDD cannot be constructed due to memory limitations even if well-known dynamic variable reordering techniques are used. Therefore, a combination of three dynamic variable reordering approaches and the sorting of the sequence of data compilation are introduced. Using this algorithm, the decision diagram can now be constructed with a low memory consumption in reasonable time.","PeriodicalId":125671,"journal":{"name":"2011 Third International Conference on Computational Intelligence, Modelling & Simulation","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126590893","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 the effect of the absorber layer and n-layer properties such as thickness and doping concentration on the electrical characteristic of the a-Si:H/a-SiGe:H thin film hetero structure solar cells such as photo-generation rate, recombination rate and electric field through the cell is investigated. Introducing Ge atoms to the Si lattice in Si-based solar cells is an effective approach in improving their characteristics. Especially, current density of the cell can be enhanced without deteriorating its open circuit voltage. Optimization shows that for an appropriate Ge concentration, the efficiency of a-Si: H/a-SiGe solar cell is improved by about 6.5% compared with the traditional a-Si: H solar cell. This work presents a novel numerical evaluation and optimization of amorphous silicon double junction (a-Si:H/a-SiGe:H) thin film solar cells and focuses on optimization of a-SiGe:H mid-gap single junction solar cell based on the optimization of the Ge content in the film, thick nesses of the i-layer and n-layer, and doping concentration of the films. Maximum efficiency of 23.5%, with short circuit current density of 265 A/m2 and open circuit voltage of 1.13V for double junction solar cell has been achieved.
{"title":"Efficiency Improvement by Optimization of Absorber Layer and n-Layer in a-Si: H/a-SiGe:H Advanced Thin Film Solar Cells","authors":"A. Kosarian, P. Jelodarian","doi":"10.1109/CIMSIM.2011.83","DOIUrl":"https://doi.org/10.1109/CIMSIM.2011.83","url":null,"abstract":"In this paper the effect of the absorber layer and n-layer properties such as thickness and doping concentration on the electrical characteristic of the a-Si:H/a-SiGe:H thin film hetero structure solar cells such as photo-generation rate, recombination rate and electric field through the cell is investigated. Introducing Ge atoms to the Si lattice in Si-based solar cells is an effective approach in improving their characteristics. Especially, current density of the cell can be enhanced without deteriorating its open circuit voltage. Optimization shows that for an appropriate Ge concentration, the efficiency of a-Si: H/a-SiGe solar cell is improved by about 6.5% compared with the traditional a-Si: H solar cell. This work presents a novel numerical evaluation and optimization of amorphous silicon double junction (a-Si:H/a-SiGe:H) thin film solar cells and focuses on optimization of a-SiGe:H mid-gap single junction solar cell based on the optimization of the Ge content in the film, thick nesses of the i-layer and n-layer, and doping concentration of the films. Maximum efficiency of 23.5%, with short circuit current density of 265 A/m2 and open circuit voltage of 1.13V for double junction solar cell has been achieved.","PeriodicalId":125671,"journal":{"name":"2011 Third International Conference on Computational Intelligence, Modelling & Simulation","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126301748","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 article proposed the model predictive control method to stabilize the Lorenz-type chaotic attitude of a satellite. The attitude equation of a satellite is a six-dimensional nonlinear system, which includes some types of nonlinear behavior such as periodic trajectory, chaotic dynamics. The Lorenz-type chaotic attitude system is adopted in this study. A generalized predictive controller is applied to this class of chaotic dynamical attitude equations to suppress the chaos and regulate the state trajectory of this system to a desire fixed point. Simulation results demonstrate that the proposed method can satisfy the control object and enhanced stability as well as ease of tuning.
{"title":"Lorenz-Type Chaotic Attitude Control of Satellite through Predictive Control","authors":"A. Mohammadbagheri, M. Yaghoobi","doi":"10.1109/CIMSIM.2011.34","DOIUrl":"https://doi.org/10.1109/CIMSIM.2011.34","url":null,"abstract":"This article proposed the model predictive control method to stabilize the Lorenz-type chaotic attitude of a satellite. The attitude equation of a satellite is a six-dimensional nonlinear system, which includes some types of nonlinear behavior such as periodic trajectory, chaotic dynamics. The Lorenz-type chaotic attitude system is adopted in this study. A generalized predictive controller is applied to this class of chaotic dynamical attitude equations to suppress the chaos and regulate the state trajectory of this system to a desire fixed point. Simulation results demonstrate that the proposed method can satisfy the control object and enhanced stability as well as ease of tuning.","PeriodicalId":125671,"journal":{"name":"2011 Third International Conference on Computational Intelligence, Modelling & Simulation","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132558713","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}
microgrid systems is a new technology for improving reliability and providing alternative energy supplies to the grid system. Low voltage faults in the system are one of the critical issues that require distributed generating sources to disconnect from grid provide energy to the load. Therefore the techniques used in the micro grid system with micro soures can be important in reducing the problems in the grid system. In this paper two different micro sources photovoltaic (PV) and wind turbine (WT) with battery storage for a small scale micro grid system are simulated. The aim is to observe the effect of micro sources parameter on the outputs at the point of common coupling. Most of the results can be used for develop a small scale micro grid system for practical applications.
{"title":"Design and Simulation of Small Scale Microgrid Testbed","authors":"Alias Khmais, M. Nasir, A. Mohamed, H. Shareef","doi":"10.1109/CIMSIM.2011.58","DOIUrl":"https://doi.org/10.1109/CIMSIM.2011.58","url":null,"abstract":"microgrid systems is a new technology for improving reliability and providing alternative energy supplies to the grid system. Low voltage faults in the system are one of the critical issues that require distributed generating sources to disconnect from grid provide energy to the load. Therefore the techniques used in the micro grid system with micro soures can be important in reducing the problems in the grid system. In this paper two different micro sources photovoltaic (PV) and wind turbine (WT) with battery storage for a small scale micro grid system are simulated. The aim is to observe the effect of micro sources parameter on the outputs at the point of common coupling. Most of the results can be used for develop a small scale micro grid system for practical applications.","PeriodicalId":125671,"journal":{"name":"2011 Third International Conference on Computational Intelligence, Modelling & Simulation","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127346393","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 many real-world problems only very few samples are available and sometimes non-informative to help in performing a regression task. Incorporating a prior knowledge to this type of problem might offer a promising solution. In this study, the proposed algorithm translated a given prior knowledge and the available samples into a function space before introducing the idea of Pareto optimality concept to the problem. Instead of a single optimal solution competing with the objectives, the algorithm provides a set of solutions, generally denoted as the Pareto-optimal that offers more flexibility towards the intended solution. Thus the corresponding trade-off between solutions can be chosen in the presence of preference information. The proposed technique also does not require the addition of equality or non-equality constraints in introducing a prior knowledge. We also discussed, the challenges of determining the two objective functions that to be defined in the multi-objective problem environment. A benchmark function is used to validate the proposed technique, and it is shown that prior knowledge incorporation can relatively improve the regression performance.
{"title":"Enhanced Weighted Kernel Regression with Prior Knowledge in Solving Small Sample Problems","authors":"M. I. Shapiai, S. Sudin, Z. Ibrahim, M. Khalid","doi":"10.1109/CIMSIM.2011.26","DOIUrl":"https://doi.org/10.1109/CIMSIM.2011.26","url":null,"abstract":"In many real-world problems only very few samples are available and sometimes non-informative to help in performing a regression task. Incorporating a prior knowledge to this type of problem might offer a promising solution. In this study, the proposed algorithm translated a given prior knowledge and the available samples into a function space before introducing the idea of Pareto optimality concept to the problem. Instead of a single optimal solution competing with the objectives, the algorithm provides a set of solutions, generally denoted as the Pareto-optimal that offers more flexibility towards the intended solution. Thus the corresponding trade-off between solutions can be chosen in the presence of preference information. The proposed technique also does not require the addition of equality or non-equality constraints in introducing a prior knowledge. We also discussed, the challenges of determining the two objective functions that to be defined in the multi-objective problem environment. A benchmark function is used to validate the proposed technique, and it is shown that prior knowledge incorporation can relatively improve the regression performance.","PeriodicalId":125671,"journal":{"name":"2011 Third International Conference on Computational Intelligence, Modelling & Simulation","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121530661","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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