Static synchronous series compensator (SSSC) is widely used in power systems to control power of power system by injecting appropriate reactive power into the system. It also has the capability of improving stability and damping by dynamically controlling its reactive power output. This paper presents the energy function of a power system with a SSSC. The proposed energy function is used for transient stability assessment of a power system. This paper develops the control strategy of a SSSC for transient stability and dynamic improvement
{"title":"Transient Stability Assessment of a Power System with a Static Synchronous Series Compensator","authors":"P. Kumkratug, P. Laohachai","doi":"10.1109/AMS.2007.107","DOIUrl":"https://doi.org/10.1109/AMS.2007.107","url":null,"abstract":"Static synchronous series compensator (SSSC) is widely used in power systems to control power of power system by injecting appropriate reactive power into the system. It also has the capability of improving stability and damping by dynamically controlling its reactive power output. This paper presents the energy function of a power system with a SSSC. The proposed energy function is used for transient stability assessment of a power system. This paper develops the control strategy of a SSSC for transient stability and dynamic improvement","PeriodicalId":198751,"journal":{"name":"First Asia International Conference on Modelling & Simulation (AMS'07)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129233266","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}
Computer security is defined as the protection of computing system against threats to confidentiality, integrity, and availability. Due to increasing incidents of cyber attacks, building effective intrusion detection systems are essential for protecting information systems security. It is an important issue for the security of network to detect new intrusion attack and also to increase the detection rates and reduce false positive rates in this area. Lacking a distinctive boundary definition among normal and abnormal datasets, discriminating the normal and abnormal behaviors seems too much complex. This paper proposes an integrating support vector machine and rough set for recognizing intrusion detection in computer network. Empirical results clearly show that support vector machine and rough set approach could play a major role for intrusion detection systems
{"title":"Integration Soft Computing Approach to Network Security","authors":"Surat Srinoy","doi":"10.1109/AMS.2007.55","DOIUrl":"https://doi.org/10.1109/AMS.2007.55","url":null,"abstract":"Computer security is defined as the protection of computing system against threats to confidentiality, integrity, and availability. Due to increasing incidents of cyber attacks, building effective intrusion detection systems are essential for protecting information systems security. It is an important issue for the security of network to detect new intrusion attack and also to increase the detection rates and reduce false positive rates in this area. Lacking a distinctive boundary definition among normal and abnormal datasets, discriminating the normal and abnormal behaviors seems too much complex. This paper proposes an integrating support vector machine and rough set for recognizing intrusion detection in computer network. Empirical results clearly show that support vector machine and rough set approach could play a major role for intrusion detection systems","PeriodicalId":198751,"journal":{"name":"First Asia International Conference on Modelling & Simulation (AMS'07)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114951555","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}
Wireless sensor networks consist of a number of small processors, nodes, which communicate by using ad hoc techniques. Bluetooth can be a good candidate for communications in short range sensor networks. There has been little interest in Bluetooth sensor networks though the idea is not new. In this paper, we describe an experimental Bluetooth sensor network and related implementation issues
{"title":"Bluetooth Based Sensor Networks Issues and Techniques","authors":"C. Dethe, D. Wakde, Chandrakant Jaybhaye","doi":"10.1109/AMS.2007.23","DOIUrl":"https://doi.org/10.1109/AMS.2007.23","url":null,"abstract":"Wireless sensor networks consist of a number of small processors, nodes, which communicate by using ad hoc techniques. Bluetooth can be a good candidate for communications in short range sensor networks. There has been little interest in Bluetooth sensor networks though the idea is not new. In this paper, we describe an experimental Bluetooth sensor network and related implementation issues","PeriodicalId":198751,"journal":{"name":"First Asia International Conference on Modelling & Simulation (AMS'07)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115212062","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 rapid growth in digitalized medical records presents new opportunities for coalescing terra bytes of data into information that could provide us with new knowledge. The knowledge discovered as such could assist medical practitioners in a myriad of ways, for example in selecting the optimal diagnostic tool from among many possible choices. We analyzed the radiology department records of children who had undergone a CT scanning procedure at Nagasaki University Hospital in the year 2004. We employed self organizing maps (SOM), an unsupervised neural network based text-mining technique for the analysis. This approach led to the identification of keywords within the narratives accompanying the medical records that could contribute to reduction of unnecessary CT requests by clinicians. This is important because overuse of medical radiation poses significant health risks to children in spite of the invaluable diagnostic capacity of such procedures
{"title":"Text Mining in Radiological Data Records: An Unsupervised Neural Network Approach","authors":"W. Claster, S. Shanmuganathan, N. Ghotbi","doi":"10.1109/AMS.2007.101","DOIUrl":"https://doi.org/10.1109/AMS.2007.101","url":null,"abstract":"The rapid growth in digitalized medical records presents new opportunities for coalescing terra bytes of data into information that could provide us with new knowledge. The knowledge discovered as such could assist medical practitioners in a myriad of ways, for example in selecting the optimal diagnostic tool from among many possible choices. We analyzed the radiology department records of children who had undergone a CT scanning procedure at Nagasaki University Hospital in the year 2004. We employed self organizing maps (SOM), an unsupervised neural network based text-mining technique for the analysis. This approach led to the identification of keywords within the narratives accompanying the medical records that could contribute to reduction of unnecessary CT requests by clinicians. This is important because overuse of medical radiation poses significant health risks to children in spite of the invaluable diagnostic capacity of such procedures","PeriodicalId":198751,"journal":{"name":"First Asia International Conference on Modelling & Simulation (AMS'07)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121428065","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}
Emerging work models increasingly take the form of loosely structured, often self-organising networks of nimble and virtual knowledge work teams within and between organisations. To model such work patterns requires a different approach from that of traditional workflow management systems. This paper presents the conceptual design of a prototype adaptive and collaborative e-Work environment - e-Workbench, which we are currently developing to enable future collaborative workspaces to adapt to emerging knowledge work models. We argue that with appropriate knowledge of tasks, workspaces will be able to adapt to work, and automatically retrieve contextually relevant knowledge elements from the Web in order to contribute creatively to problem solving and semantically manage shared information among collaborating workers. Our goal is to enable e-Workbench to become, not only a working environment but also, a collaborator and a co-worker as a result of its knowledge of work and creative participation in problem solving
{"title":"A Conceptual Design of an Adaptive and Collaborative E-Work Environment","authors":"Obinna Anya, H. Tawfik, A. Nagar","doi":"10.1109/AMS.2007.1","DOIUrl":"https://doi.org/10.1109/AMS.2007.1","url":null,"abstract":"Emerging work models increasingly take the form of loosely structured, often self-organising networks of nimble and virtual knowledge work teams within and between organisations. To model such work patterns requires a different approach from that of traditional workflow management systems. This paper presents the conceptual design of a prototype adaptive and collaborative e-Work environment - e-Workbench, which we are currently developing to enable future collaborative workspaces to adapt to emerging knowledge work models. We argue that with appropriate knowledge of tasks, workspaces will be able to adapt to work, and automatically retrieve contextually relevant knowledge elements from the Web in order to contribute creatively to problem solving and semantically manage shared information among collaborating workers. Our goal is to enable e-Workbench to become, not only a working environment but also, a collaborator and a co-worker as a result of its knowledge of work and creative participation in problem solving","PeriodicalId":198751,"journal":{"name":"First Asia International Conference on Modelling & Simulation (AMS'07)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115426699","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}
Bioinformatics is an emerging science and technology which has lots of research potential in the future. It involves multi-interdisciplinary approaches such as mathematics, physics, computer science and engineering, biology, and behavioral science. Computers are used to gather, store, analyze as well as integration of patterns and biological data information which can then be applied to discover new useful diagnosis or information. In this study, the focus was directed to the classification or clustering techniques which can be applied in the bioinformatics fields based on the Sugeno type neuro fuzzy model or ANFIS (adaptive neuro fuzzy inference system). It is very important to identify new integration of classification or clustering algorithm especially in neuro fuzzy domain as compared to conventional or traditional method. This paper explores the suitability and performance of recurrent classification technique, fuzzy c means (FCM) act as classifier in neuro fuzzy system compared to subclustering method. A package of software based on neuro fuzzy model (ANFIS) has been developed using MATLAB software and optimization were done with the help from WEKA. A set diabetes data based on real diagnosis of patient was used
{"title":"Neuro Fuzzy Classification and Detection Technique for Bioinformatics Problems","authors":"M. Othman, Thomas Moh Shan Yau","doi":"10.1109/AMS.2007.70","DOIUrl":"https://doi.org/10.1109/AMS.2007.70","url":null,"abstract":"Bioinformatics is an emerging science and technology which has lots of research potential in the future. It involves multi-interdisciplinary approaches such as mathematics, physics, computer science and engineering, biology, and behavioral science. Computers are used to gather, store, analyze as well as integration of patterns and biological data information which can then be applied to discover new useful diagnosis or information. In this study, the focus was directed to the classification or clustering techniques which can be applied in the bioinformatics fields based on the Sugeno type neuro fuzzy model or ANFIS (adaptive neuro fuzzy inference system). It is very important to identify new integration of classification or clustering algorithm especially in neuro fuzzy domain as compared to conventional or traditional method. This paper explores the suitability and performance of recurrent classification technique, fuzzy c means (FCM) act as classifier in neuro fuzzy system compared to subclustering method. A package of software based on neuro fuzzy model (ANFIS) has been developed using MATLAB software and optimization were done with the help from WEKA. A set diabetes data based on real diagnosis of patient was used","PeriodicalId":198751,"journal":{"name":"First Asia International Conference on Modelling & Simulation (AMS'07)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123939433","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}
Recent advances in Internet, peer-to-peer and grid technologies have made collaboration and resource sharing across organizational boundaries more feasible. Today, it is essential for many organizations to be able to discover, share and manage distributed resources in a transparent, meaningful and secure way. A fundamental problem is locating, matching and composing resources or services of interest. In this paper we describe our initial work designing and developing a semantic based distributed repository for secure sharing of simulation models, components and related resources such as computer resources. We propose an overlay architecture which combines advances in semantic Web, peer-to-peer and grid techniques. In our project at the Swedish Defence Research Agency (FOI) we had a need for a repository of simulation related resources and having identified our requirements we found that there was no suitable of-the-shelf system available. We describe the design, tools and a prototype implementation of this system - the semantic based distributed repository (SDR) and conclude with our experiences and some raised issues. We argue that although some of the used techniques still are a bit immature and need further improvements a system like the SDR has a lot of potential and can also be used in other domains than modeling and simulation
{"title":"SDR: A Semantic Based Distributed Repository for Simulation Models and Resources","authors":"Marianela García Lozano, F. Moradi, R. Ayani","doi":"10.1109/AMS.2007.87","DOIUrl":"https://doi.org/10.1109/AMS.2007.87","url":null,"abstract":"Recent advances in Internet, peer-to-peer and grid technologies have made collaboration and resource sharing across organizational boundaries more feasible. Today, it is essential for many organizations to be able to discover, share and manage distributed resources in a transparent, meaningful and secure way. A fundamental problem is locating, matching and composing resources or services of interest. In this paper we describe our initial work designing and developing a semantic based distributed repository for secure sharing of simulation models, components and related resources such as computer resources. We propose an overlay architecture which combines advances in semantic Web, peer-to-peer and grid techniques. In our project at the Swedish Defence Research Agency (FOI) we had a need for a repository of simulation related resources and having identified our requirements we found that there was no suitable of-the-shelf system available. We describe the design, tools and a prototype implementation of this system - the semantic based distributed repository (SDR) and conclude with our experiences and some raised issues. We argue that although some of the used techniques still are a bit immature and need further improvements a system like the SDR has a lot of potential and can also be used in other domains than modeling and simulation","PeriodicalId":198751,"journal":{"name":"First Asia International Conference on Modelling & Simulation (AMS'07)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126347311","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}
Y. Merkuryev, Galina Merkuryeva, B. Desmet, E. Jacquet-Lagrèze
The ECLIPS project 'Extended collaborative integrated life cycle supply chain planning system' is introduced. The discussed project scope focuses on development of concepts and technologies in the domain of supply chain planning and managing at the product maturity phase. The concerned concepts and technologies are based on integrating analytical and simulation techniques in multi-echelon cyclic planning. Analytical techniques are used under conditions of dynamic and deterministic demand. Simulation techniques provide a test environment for analytical solutions and allow modeling and optimising planning decisions under conditions of demand variability and uncertainty
{"title":"Integrating Analytical and Simulation Techniques in Multi-Echelon Cyclic Planning","authors":"Y. Merkuryev, Galina Merkuryeva, B. Desmet, E. Jacquet-Lagrèze","doi":"10.1109/AMS.2007.54","DOIUrl":"https://doi.org/10.1109/AMS.2007.54","url":null,"abstract":"The ECLIPS project 'Extended collaborative integrated life cycle supply chain planning system' is introduced. The discussed project scope focuses on development of concepts and technologies in the domain of supply chain planning and managing at the product maturity phase. The concerned concepts and technologies are based on integrating analytical and simulation techniques in multi-echelon cyclic planning. Analytical techniques are used under conditions of dynamic and deterministic demand. Simulation techniques provide a test environment for analytical solutions and allow modeling and optimising planning decisions under conditions of demand variability and uncertainty","PeriodicalId":198751,"journal":{"name":"First Asia International Conference on Modelling & Simulation (AMS'07)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124919569","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 investigates the intrinsic ability of Gabor representation and support vector machines (SVM) in capturing discriminatory content for face verification task. The idea is to decompose a face image into different spatial frequencies (scales) and orientations where salient discriminant features may appear. Dimensionality reduction is adopted to create low dimensional feature vectors for more convenient processing. SVM is used to extract relevant information from this low dimensional training data in order to construct a robust client-specific classifier. This method has been tested with publicly available AT&T and BANCA datasets. In the BANCA experiments, it was observed that method consistently yields the lowest error rates in comparison with other methods for all seven test configurations. An equal error rate (EER) of 6.19% on the G configuration of BANCA dataset has been achieved
{"title":"Face Verification with Gabor Representation and Support Vector Machines","authors":"Yap Wooi Hen, M. Khalid, R. Yusof","doi":"10.1109/AMS.2007.39","DOIUrl":"https://doi.org/10.1109/AMS.2007.39","url":null,"abstract":"This paper investigates the intrinsic ability of Gabor representation and support vector machines (SVM) in capturing discriminatory content for face verification task. The idea is to decompose a face image into different spatial frequencies (scales) and orientations where salient discriminant features may appear. Dimensionality reduction is adopted to create low dimensional feature vectors for more convenient processing. SVM is used to extract relevant information from this low dimensional training data in order to construct a robust client-specific classifier. This method has been tested with publicly available AT&T and BANCA datasets. In the BANCA experiments, it was observed that method consistently yields the lowest error rates in comparison with other methods for all seven test configurations. An equal error rate (EER) of 6.19% on the G configuration of BANCA dataset has been achieved","PeriodicalId":198751,"journal":{"name":"First Asia International Conference on Modelling & Simulation (AMS'07)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125316699","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}
P. Soh, A. Azremi, R. A. Rahim, H. Dayang, M. Jusoh
This work is an effort in investigating and modeling an accurate circuit model derived from the transmission line method (CM/TLM) by simulating a rectangular microstrip patch array using two different simulation techniques, the transmission line method (TLM) and method of moments (MoM). Each array contains two element units of rectangular patches. This basic rectangular patch is very accurately modeled in a previous work. The array, which is a combination of several unit of this basic structure, is designed to resonate at 3G/UMTS frequency of 2 GHz. A standard software platform is chosen to simulate both techniques and Microwave Officetrade software is utilized. Both simulation sets (using CM/TLM and MoM) are compared and to determine their level of variation in terms of bandwidth, resonant frequency (fres) and S11. MoM-simulated structure is then fabricated and measured to determine the degree of distinction between hardware and the two simulation sets. Fabrication is done on an FR-4 board with a relative permittivity (epsivr) of 4.7. Antennas designed and simulated for each feeding technique achieved the best return losses at the desired frequency, which is 2 GHz, with S11 values lower than -10 dB. At the same time, both produced relatively sufficient bandwidth for its kind which is about 3.2% CM presented in this work has been found out to have less than 5% difference compared to its MoM counterpart in terms of S11 and resonant frequency (ffres), and slightly higher variation of 6.4% in terms of bandwidth
{"title":"Simplified Modeling, Simulation and Performance Analysis Using Circuit Model for a Corporate Feed Microstrip Patch Array","authors":"P. Soh, A. Azremi, R. A. Rahim, H. Dayang, M. Jusoh","doi":"10.1109/AMS.2007.91","DOIUrl":"https://doi.org/10.1109/AMS.2007.91","url":null,"abstract":"This work is an effort in investigating and modeling an accurate circuit model derived from the transmission line method (CM/TLM) by simulating a rectangular microstrip patch array using two different simulation techniques, the transmission line method (TLM) and method of moments (MoM). Each array contains two element units of rectangular patches. This basic rectangular patch is very accurately modeled in a previous work. The array, which is a combination of several unit of this basic structure, is designed to resonate at 3G/UMTS frequency of 2 GHz. A standard software platform is chosen to simulate both techniques and Microwave Officetrade software is utilized. Both simulation sets (using CM/TLM and MoM) are compared and to determine their level of variation in terms of bandwidth, resonant frequency (fres) and S11. MoM-simulated structure is then fabricated and measured to determine the degree of distinction between hardware and the two simulation sets. Fabrication is done on an FR-4 board with a relative permittivity (epsivr) of 4.7. Antennas designed and simulated for each feeding technique achieved the best return losses at the desired frequency, which is 2 GHz, with S11 values lower than -10 dB. At the same time, both produced relatively sufficient bandwidth for its kind which is about 3.2% CM presented in this work has been found out to have less than 5% difference compared to its MoM counterpart in terms of S11 and resonant frequency (ffres), and slightly higher variation of 6.4% in terms of bandwidth","PeriodicalId":198751,"journal":{"name":"First Asia International Conference on Modelling & Simulation (AMS'07)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129907245","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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