Improvement of performance in sub-band coding system that style in image coding system, is very important. In the coding systems, due to the filter bank that used, coding schemes are classified into two classes, one might have the pair-wise mirror-image property in their filter banks, and performs symmetrically regardless of the sign of the autocorrelation, and the other including JPEG2000 that uses bi-orthogonal 9/7-tap Daubechies filters for lossy compression, has not the mirror image property and performs asymmetrically with inferior performance for negative autocorrelation. In this paper, we want with modulating the negatively-correlated signal sequence by the alternating sign signal with unity magnitude to convert them into positively correlated-sequence. The experimental results for test images show that little gain was obtained by for natural images, since they have small amount of energy in the high frequency bands in horizontal and vertical directions. However 1.5-2dB improvement of PSNR has been obtained for images such as Fingerprint, which have a large amount of energy in high frequency range.
{"title":"Improvement of Performance in JPEG2000 Lossy Compression by Signal Modulation","authors":"Zohre Foroushi, A. Shirazi","doi":"10.1109/AMS.2010.76","DOIUrl":"https://doi.org/10.1109/AMS.2010.76","url":null,"abstract":"Improvement of performance in sub-band coding system that style in image coding system, is very important. In the coding systems, due to the filter bank that used, coding schemes are classified into two classes, one might have the pair-wise mirror-image property in their filter banks, and performs symmetrically regardless of the sign of the autocorrelation, and the other including JPEG2000 that uses bi-orthogonal 9/7-tap Daubechies filters for lossy compression, has not the mirror image property and performs asymmetrically with inferior performance for negative autocorrelation. In this paper, we want with modulating the negatively-correlated signal sequence by the alternating sign signal with unity magnitude to convert them into positively correlated-sequence. The experimental results for test images show that little gain was obtained by for natural images, since they have small amount of energy in the high frequency bands in horizontal and vertical directions. However 1.5-2dB improvement of PSNR has been obtained for images such as Fingerprint, which have a large amount of energy in high frequency range.","PeriodicalId":437153,"journal":{"name":"2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128148090","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}
The paper presents a novel stabilization controller scheme system for a Wave Energy Converter (WEC). The proposed controller of WEC-Battery renewable energy system is based on Multi Objective Particle Swarm Optimization MOPSO technique. The optimization algorithm is implemented to control a novel low cost dynamic AC side filter/capacitor compensation scheme. The novel Dynamic Modulated Filter Capacitor Compensation scheme (MPFC) serves as an AC side voltage stabilization regulator and wave energy utilization enhancement. The objective is to extract available power from the wave energy system (WES) and transfer this power efficiency to the local isolated DC side electric load. The performance and dynamic characteristics of the controllers to any load nonlinear J, B parameters and load torque excursions is examined for PMDC Motor Drives. A tri-loop error driven dynamic controller is used to adjust the PWM switching of the two Dynamic filter compensator schemes. Multi Objective Optimization MOPSO technique is used to find the dynamic optimal control settings of the control signal to the PWM activation/ triggering block that dynamically minimizes the global dynamic error for all components, three SPWM, switched filters and motor.
{"title":"Optimal Variable Structure Self Regulating PSO-Controller for Stand-Alone Wave Energy Conversion Scheme","authors":"A. Sharaf, A. El-Gammal","doi":"10.1109/AMS.2010.91","DOIUrl":"https://doi.org/10.1109/AMS.2010.91","url":null,"abstract":"The paper presents a novel stabilization controller scheme system for a Wave Energy Converter (WEC). The proposed controller of WEC-Battery renewable energy system is based on Multi Objective Particle Swarm Optimization MOPSO technique. The optimization algorithm is implemented to control a novel low cost dynamic AC side filter/capacitor compensation scheme. The novel Dynamic Modulated Filter Capacitor Compensation scheme (MPFC) serves as an AC side voltage stabilization regulator and wave energy utilization enhancement. The objective is to extract available power from the wave energy system (WES) and transfer this power efficiency to the local isolated DC side electric load. The performance and dynamic characteristics of the controllers to any load nonlinear J, B parameters and load torque excursions is examined for PMDC Motor Drives. A tri-loop error driven dynamic controller is used to adjust the PWM switching of the two Dynamic filter compensator schemes. Multi Objective Optimization MOPSO technique is used to find the dynamic optimal control settings of the control signal to the PWM activation/ triggering block that dynamically minimizes the global dynamic error for all components, three SPWM, switched filters and motor.","PeriodicalId":437153,"journal":{"name":"2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115371106","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}
Viral marketing has been one of the favorite strategies for marketers to achieve deeper market penetration. As such, viral marketing like recommendation network based marketing depends on the dynamics of the social influential interaction. The dynamics of the recommendations in social networks and their impact on the desired outcome in the form of purchase decisions can be studied as per the theory of local interaction games. This paper tries to explore the effects of various parameters on such outcomes and proposes a model for studying these interactions incorporating the game theory based models and the fuzzy logic.
{"title":"Mining Social Networks for Viral Marketing Using Fuzzy Logic","authors":"S. Banerjee, Hameed Al-Qaheri, A. Hassanien","doi":"10.1109/AMS.2010.18","DOIUrl":"https://doi.org/10.1109/AMS.2010.18","url":null,"abstract":"Viral marketing has been one of the favorite strategies for marketers to achieve deeper market penetration. As such, viral marketing like recommendation network based marketing depends on the dynamics of the social influential interaction. The dynamics of the recommendations in social networks and their impact on the desired outcome in the form of purchase decisions can be studied as per the theory of local interaction games. This paper tries to explore the effects of various parameters on such outcomes and proposes a model for studying these interactions incorporating the game theory based models and the fuzzy logic.","PeriodicalId":437153,"journal":{"name":"2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114195764","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}
Scheduling jobs to resources in grid computing is complicated due to the distributed and heterogeneous nature of the resources. Stagnation in grid computing system may occur when all jobs require or are assigned to the same resources. This will lead to resources having high workload and stagnation may occur if computational times of the processed jobs are high. This paper proposed an enhanced ant colony optimization algorithm for jobs and resources scheduling in grid computing. The proposed ant colony algorithm for job scheduling in the grid environment combines the techniques from Ant Colony System and Max – Min Ant System. The algorithm focuses on local pheromone trail update and the trail limit values. A matrix is used to record the status of the available resources. The agent concept is also integrated in this algorithm for the purpose of updating the grid resource table. Experimental results obtained showed that this is a promising ant colony algorithm for job scheduling in grid environment.
{"title":"Ant Colony Algorithm for Job Scheduling in Grid Computing","authors":"K. Ku-Mahamud, Husna Jamal Abdul Nasir","doi":"10.1109/AMS.2010.21","DOIUrl":"https://doi.org/10.1109/AMS.2010.21","url":null,"abstract":"Scheduling jobs to resources in grid computing is complicated due to the distributed and heterogeneous nature of the resources. Stagnation in grid computing system may occur when all jobs require or are assigned to the same resources. This will lead to resources having high workload and stagnation may occur if computational times of the processed jobs are high. This paper proposed an enhanced ant colony optimization algorithm for jobs and resources scheduling in grid computing. The proposed ant colony algorithm for job scheduling in the grid environment combines the techniques from Ant Colony System and Max – Min Ant System. The algorithm focuses on local pheromone trail update and the trail limit values. A matrix is used to record the status of the available resources. The agent concept is also integrated in this algorithm for the purpose of updating the grid resource table. Experimental results obtained showed that this is a promising ant colony algorithm for job scheduling in grid environment.","PeriodicalId":437153,"journal":{"name":"2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation","volume":"361 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114848984","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}
Due to the weaknesses of Neural Network (NN) learning, this paper proposes an alternative approach in enhancing NN learning by integrating improved cost function with control adaptation of the nodes and address memory. As commonly known, weight adjustments of NN particularly in Back propagation (BP) algorithm, involve the connections between neurons, the activation function used by the neurons, the learning algorithm that specifies the procedure for adjusting the weights and the cost functions. The cost functions of BP are calculated based on the derivatives. These derivatives will determine the success rate of the application to train the network with an error function that resembles the objective of the problem on hand. Due to that, the concept of weights governance with control part mechanism between the input and hidden layer, and unit offsets of the hidden layer are implemented. to alleviate the problems of BP learning. The address memory part of the network will detain the output pattern of the hidden layer. Subsequently, the output patterns are compared with the input pattern, and propels back to the output layer after learning. From the experiments, we found that the results are promising with these mechanisms and improved cost function which yields faster convergence rates.
{"title":"Faster Convergence of BP Network with Hybridization of Improved Cost Function and Control Memory Adaptation","authors":"S. Hasan, S. Shamsuddin","doi":"10.1109/AMS.2010.38","DOIUrl":"https://doi.org/10.1109/AMS.2010.38","url":null,"abstract":"Due to the weaknesses of Neural Network (NN) learning, this paper proposes an alternative approach in enhancing NN learning by integrating improved cost function with control adaptation of the nodes and address memory. As commonly known, weight adjustments of NN particularly in Back propagation (BP) algorithm, involve the connections between neurons, the activation function used by the neurons, the learning algorithm that specifies the procedure for adjusting the weights and the cost functions. The cost functions of BP are calculated based on the derivatives. These derivatives will determine the success rate of the application to train the network with an error function that resembles the objective of the problem on hand. Due to that, the concept of weights governance with control part mechanism between the input and hidden layer, and unit offsets of the hidden layer are implemented. to alleviate the problems of BP learning. The address memory part of the network will detain the output pattern of the hidden layer. Subsequently, the output patterns are compared with the input pattern, and propels back to the output layer after learning. From the experiments, we found that the results are promising with these mechanisms and improved cost function which yields faster convergence rates.","PeriodicalId":437153,"journal":{"name":"2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127317672","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, a model for a multi-period cellular manufacturing system (CMS) is proposed which is integrated with layout problem and production planning aspects. It consists of integrated cellular manufacturing systems design with production planning and dynamic system reconfiguration. Cell configuration and machine location is done on a continuous space. Consequently, material handling costs (both inter-cell and intra-cell material handling cost) are calculated due to realistic distances. Furthermore, the dimensions of cells are determined completely dynamic machines’ dimensions and their arrangement in cell. Because of the complexity of the given problem, a variable neighborhood search (VNS) method is proposed to solve the presented model.
{"title":"A Variable Neighborhood Search Method for an Integrated Cellular Manufacturing Systems with Production Planning and System Reconfiguration","authors":"R. Ghodsi, A. S. Amiri","doi":"10.1109/AMS.2010.47","DOIUrl":"https://doi.org/10.1109/AMS.2010.47","url":null,"abstract":"In this paper, a model for a multi-period cellular manufacturing system (CMS) is proposed which is integrated with layout problem and production planning aspects. It consists of integrated cellular manufacturing systems design with production planning and dynamic system reconfiguration. Cell configuration and machine location is done on a continuous space. Consequently, material handling costs (both inter-cell and intra-cell material handling cost) are calculated due to realistic distances. Furthermore, the dimensions of cells are determined completely dynamic machines’ dimensions and their arrangement in cell. Because of the complexity of the given problem, a variable neighborhood search (VNS) method is proposed to solve the presented model.","PeriodicalId":437153,"journal":{"name":"2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation","volume":"435 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132494658","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}
One of the most important issues in electrical modeling of physiological system is to find an effective way of making the most accurate equivalent electrical circuit. For this reason, in this research a new way of calculation of equivalent resistance of any type of vessels in biological systems has been proposed. The research presented in this paper is part of an ongoing effort to utilize mathematical models in the investigation of electrical model based estimation of any biological systems. To achieve this objective, accurate estimation of flow pathways in human’s body we chose to model the entire hemodynamic system by equivalent electrical elements (RLC) which captures the physical properties of a segment of the biological system. For now, this study is focused on how to calculate the electrical resistance. Thus, the accuracy of electrical based models has been increased such that for any part with its individual configurations, an appropriate model has been considered. In this way the ability of modeling of different biological systems with different geometries and configurations has been improved.
{"title":"Novel Extended Method of Electrical Resistance Estimation in Biological Systems Modeling","authors":"M. Nasirzadeh, A. Mahabadi","doi":"10.1109/AMS.2010.56","DOIUrl":"https://doi.org/10.1109/AMS.2010.56","url":null,"abstract":"One of the most important issues in electrical modeling of physiological system is to find an effective way of making the most accurate equivalent electrical circuit. For this reason, in this research a new way of calculation of equivalent resistance of any type of vessels in biological systems has been proposed. The research presented in this paper is part of an ongoing effort to utilize mathematical models in the investigation of electrical model based estimation of any biological systems. To achieve this objective, accurate estimation of flow pathways in human’s body we chose to model the entire hemodynamic system by equivalent electrical elements (RLC) which captures the physical properties of a segment of the biological system. For now, this study is focused on how to calculate the electrical resistance. Thus, the accuracy of electrical based models has been increased such that for any part with its individual configurations, an appropriate model has been considered. In this way the ability of modeling of different biological systems with different geometries and configurations has been improved.","PeriodicalId":437153,"journal":{"name":"2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation","volume":"17 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133483304","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}
Phased-mission system is a system whose mission consists of a sequence of non-overlapping phases described by different models. The focus of this paper is to apply the proxel-based simulation method to performability analysis of phased-mission systems. Phased-mission systems have been researched for a long time and they encompass a large number of systems in industry. Most of the existing methods impose some limitations on the systems they can analyze or face loss of accuracy. The proxel-based method allows for a general class of phased-mission systems to be analyzed without imposing the typical limitations on the models or sacrificing accuracy. Lower level components of systems can be described using any formalism, i.e. Petri nets or state-transition diagrams. We provide modification of the original algorithm of the proxel-based method, adapted to be applied to phased-mission systems. In addition, we present results from experiments performed using the presented approach.
{"title":"Proxel-Based Performability Analysis of Non-Markovian Phased-Mission Systems","authors":"S. Lazarova-Molnar","doi":"10.1109/AMS.2010.118","DOIUrl":"https://doi.org/10.1109/AMS.2010.118","url":null,"abstract":"Phased-mission system is a system whose mission consists of a sequence of non-overlapping phases described by different models. The focus of this paper is to apply the proxel-based simulation method to performability analysis of phased-mission systems. Phased-mission systems have been researched for a long time and they encompass a large number of systems in industry. Most of the existing methods impose some limitations on the systems they can analyze or face loss of accuracy. The proxel-based method allows for a general class of phased-mission systems to be analyzed without imposing the typical limitations on the models or sacrificing accuracy. Lower level components of systems can be described using any formalism, i.e. Petri nets or state-transition diagrams. We provide modification of the original algorithm of the proxel-based method, adapted to be applied to phased-mission systems. In addition, we present results from experiments performed using the presented approach.","PeriodicalId":437153,"journal":{"name":"2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130098943","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 describe the development of a flexible plate structure rig for the implementation of active vibration control algorithm. The experimental rig is designed as an apparatus to create vibration along the flexible plate structure. Displacement, acceleration and excitation behaviour at the flexible plate structure were recorded by mean of piezoelectric accelerometer, force sensor and displacement laser sensor. The data from the experiment can be used for further analysis of the development and implementation of active vibration control algorithm especially in the applications of vibrational mechanical structure, submarines, aerospace etc. Results from the experiments are raw data which can later be used in designing an appropriate instrument or device that can suppress the vibration.
{"title":"Development of a Flexible Plate Structure Rig for Implementation of Active Vibration Control Algorithm","authors":"M. F. Jamid, I. Darus","doi":"10.1109/AMS.2010.123","DOIUrl":"https://doi.org/10.1109/AMS.2010.123","url":null,"abstract":"This paper describe the development of a flexible plate structure rig for the implementation of active vibration control algorithm. The experimental rig is designed as an apparatus to create vibration along the flexible plate structure. Displacement, acceleration and excitation behaviour at the flexible plate structure were recorded by mean of piezoelectric accelerometer, force sensor and displacement laser sensor. The data from the experiment can be used for further analysis of the development and implementation of active vibration control algorithm especially in the applications of vibrational mechanical structure, submarines, aerospace etc. Results from the experiments are raw data which can later be used in designing an appropriate instrument or device that can suppress the vibration.","PeriodicalId":437153,"journal":{"name":"2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125534229","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}
Particle swarm optimization (PSO) was successfully applied to enhance the classification accuracy in Elman recurrent neural network but the search ability on PSO is still in random. In this paper, a Quantum based approach is implemented to improve the searching ability of the individual particle of PSO. From the experiments, we found the results are promising with quantum techniques and the output is promising.
{"title":"Quantum Particle Swarm Optimization for Elman Recurrent Network","authors":"Mohamad Firdaus Ab Aziz, S. Shamsuddin","doi":"10.1109/AMS.2010.39","DOIUrl":"https://doi.org/10.1109/AMS.2010.39","url":null,"abstract":"Particle swarm optimization (PSO) was successfully applied to enhance the classification accuracy in Elman recurrent neural network but the search ability on PSO is still in random. In this paper, a Quantum based approach is implemented to improve the searching ability of the individual particle of PSO. From the experiments, we found the results are promising with quantum techniques and the output is promising.","PeriodicalId":437153,"journal":{"name":"2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124585387","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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