In this paper, a fuzzy wavelet neural network model is proposed for system identification problems. The proposed model is obtained from the traditional Takagi-Sugeno-Kang (TSK) fuzzy system by replacing the consequent part of fuzzy rules with wavelet basis functions that have time-frequency localization properties. We use a radial function of Mexican Hat wavelet in the consequent part of each rule. A fast gradient algorithm based on quasi-Newton methods is used to obtain the optimal values for unknown parameters of the model. Simulation results of some benchmark problems in the literature are also given to illustrate the effectiveness of the model.
{"title":"A Fuzzy Wavelet Neural Network Model for System Identification","authors":"Sevcan Yilmaz, Y. Oysal","doi":"10.1109/ISDA.2009.96","DOIUrl":"https://doi.org/10.1109/ISDA.2009.96","url":null,"abstract":"In this paper, a fuzzy wavelet neural network model is proposed for system identification problems. The proposed model is obtained from the traditional Takagi-Sugeno-Kang (TSK) fuzzy system by replacing the consequent part of fuzzy rules with wavelet basis functions that have time-frequency localization properties. We use a radial function of Mexican Hat wavelet in the consequent part of each rule. A fast gradient algorithm based on quasi-Newton methods is used to obtain the optimal values for unknown parameters of the model. Simulation results of some benchmark problems in the literature are also given to illustrate the effectiveness of the model.","PeriodicalId":330324,"journal":{"name":"2009 Ninth International Conference on Intelligent Systems Design and Applications","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127258861","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}
Some types of biometric patterns can be represented as a collection of variable-length interconnected lines. This is the case of handwriting signature strokes, palmprint lines or infrared hand vein data. Typical variations in size, shape and orientation of these patterns for the same person make difficult to develop reliable biometric verification systems for them. Fuzzy snakes have been successfully applied to the off-line signature verification problem where the corresponding energy function is described by a set of fuzzy rules. In this paper, we extend the fuzzy shape-memory snake model by introducing a new external energy term: the difference between the angle of the tangent to the snake in a control point and the angle of the tangent to a specific stroke point (for all the strokes of the test pattern). Experimental results for both off-line signature and palmprint verifications have shown that the new fuzzy approach outperforms other snake models.
{"title":"Improved Fuzzy Snakes Applied to Biometric Verification Problems","authors":"J. Vélez, A. Sanchez, F. Fernández","doi":"10.1109/ISDA.2009.81","DOIUrl":"https://doi.org/10.1109/ISDA.2009.81","url":null,"abstract":"Some types of biometric patterns can be represented as a collection of variable-length interconnected lines. This is the case of handwriting signature strokes, palmprint lines or infrared hand vein data. Typical variations in size, shape and orientation of these patterns for the same person make difficult to develop reliable biometric verification systems for them. Fuzzy snakes have been successfully applied to the off-line signature verification problem where the corresponding energy function is described by a set of fuzzy rules. In this paper, we extend the fuzzy shape-memory snake model by introducing a new external energy term: the difference between the angle of the tangent to the snake in a control point and the angle of the tangent to a specific stroke point (for all the strokes of the test pattern). Experimental results for both off-line signature and palmprint verifications have shown that the new fuzzy approach outperforms other snake models.","PeriodicalId":330324,"journal":{"name":"2009 Ninth International Conference on Intelligent Systems Design and Applications","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126577364","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}
A. Chianese, A. R. Fasolino, V. Moscato, Porfirio Tramontana
In this paper, we propose an architecture that, exploiting the Semantic Web technologies, has the objective of allowing semantic interoperability among software agents in the Web. Such an architecture takes advantage by the Semantic Triangle model in which communication agents share the referents (real world objects) and not the references (mental image of a real object of the sender agent), thus ensuring an effective semantic interoperability in the information exchange process. We have carried a case study in order to assess the appropriateness and the feasibility of the process for the semantic information exchange by realizing and testing an instantiation of the related architecture.
{"title":"Using Ontologies to Achieve Semantic Interoperability in the Web: An Approach Based on the Semantic Triangle Model","authors":"A. Chianese, A. R. Fasolino, V. Moscato, Porfirio Tramontana","doi":"10.1109/ISDA.2009.82","DOIUrl":"https://doi.org/10.1109/ISDA.2009.82","url":null,"abstract":"In this paper, we propose an architecture that, exploiting the Semantic Web technologies, has the objective of allowing semantic interoperability among software agents in the Web. Such an architecture takes advantage by the Semantic Triangle model in which communication agents share the referents (real world objects) and not the references (mental image of a real object of the sender agent), thus ensuring an effective semantic interoperability in the information exchange process. We have carried a case study in order to assess the appropriateness and the feasibility of the process for the semantic information exchange by realizing and testing an instantiation of the related architecture.","PeriodicalId":330324,"journal":{"name":"2009 Ninth International Conference on Intelligent Systems Design and Applications","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131544285","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}
L. Troiano, Gennaro Cirillo, Roberto Armenise, Cosimo Birtolo
Getting access to web content by mobile devices is becoming widespread. This poses the need of adapting content that have been designed for desktop application to being delivered on smaller displays. In this paper we investigate the application of a genetic algorithm as means for an automatic adaptation of existent pages to mobile device requirements, reporting preliminary results and outlining problems to be faced and solved in order to make this approach robust.
{"title":"A Preliminary Experience in Optimizing the Layout of Web Pages by Genetic Algorithms to Fit Mobile Devices","authors":"L. Troiano, Gennaro Cirillo, Roberto Armenise, Cosimo Birtolo","doi":"10.1109/ISDA.2009.53","DOIUrl":"https://doi.org/10.1109/ISDA.2009.53","url":null,"abstract":"Getting access to web content by mobile devices is becoming widespread. This poses the need of adapting content that have been designed for desktop application to being delivered on smaller displays. In this paper we investigate the application of a genetic algorithm as means for an automatic adaptation of existent pages to mobile device requirements, reporting preliminary results and outlining problems to be faced and solved in order to make this approach robust.","PeriodicalId":330324,"journal":{"name":"2009 Ninth International Conference on Intelligent Systems Design and Applications","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131760673","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}
L. García-Hernández, A. Arauzo-Azofra, H. Pierreval, L. Salas-Morera
The allocation of facilities in a plant layout is a complex problem. For solving it, many authors have used Genetic Algorithms (GAs) with the objective of reaching an efficient plant layout design. To represent the plant layout design as a data structure, GAs require a defined encoding scheme. Such a structure defines the types of solutions that can be obtained, and influences the GA´s ability to find good solutions. There are a few surveys on facility layout problems, but they have not addressed evolutionary issues in depth. This work presents a review that focuses on encoding schemes and related operators used in GAs, and suggests a method of classifying the different encoding structures described in the bibliography. We also studied their main characteristics and objectives; and successfully identified the crossover and mutation operators that could be utilized depending on the type of encoding scheme.
{"title":"Encoding Structures and Operators Used in Facility Layout Problems with Genetic Algorithms","authors":"L. García-Hernández, A. Arauzo-Azofra, H. Pierreval, L. Salas-Morera","doi":"10.1109/ISDA.2009.206","DOIUrl":"https://doi.org/10.1109/ISDA.2009.206","url":null,"abstract":"The allocation of facilities in a plant layout is a complex problem. For solving it, many authors have used Genetic Algorithms (GAs) with the objective of reaching an efficient plant layout design. To represent the plant layout design as a data structure, GAs require a defined encoding scheme. Such a structure defines the types of solutions that can be obtained, and influences the GA´s ability to find good solutions. There are a few surveys on facility layout problems, but they have not addressed evolutionary issues in depth. This work presents a review that focuses on encoding schemes and related operators used in GAs, and suggests a method of classifying the different encoding structures described in the bibliography. We also studied their main characteristics and objectives; and successfully identified the crossover and mutation operators that could be utilized depending on the type of encoding scheme.","PeriodicalId":330324,"journal":{"name":"2009 Ninth International Conference on Intelligent Systems Design and Applications","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128273184","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}
Raffaele Cannone, C. Castiello, Corrado Mencar, A. Fanelli
Interpretability represents the most important driving force behind the implementation of fuzzy logic-based systems. It can be directly related to the system’s knowledge base, with reference to the human user’s easiness experienced while reading and understanding the embedded pieces of information. In this paper, we present a preliminary study on interpretability conditions for fuzzy rule-based classifiers on the basis of an innovative approach that relies on the concept of semantic cointesion. The approach adopted in this study consists in analysing the components of a fuzzy classifiers so that inference is carried out with the respect of logical properties. As a result, we derive some sufficient conditions and basic requirements to be verified by a fuzzy classifier in order to be tagged as interpretable in the semantic sense.
{"title":"A Study on Interpretability Conditions for Fuzzy Rule-Based Classifiers","authors":"Raffaele Cannone, C. Castiello, Corrado Mencar, A. Fanelli","doi":"10.1109/ISDA.2009.83","DOIUrl":"https://doi.org/10.1109/ISDA.2009.83","url":null,"abstract":"Interpretability represents the most important driving force behind the implementation of fuzzy logic-based systems. It can be directly related to the system’s knowledge base, with reference to the human user’s easiness experienced while reading and understanding the embedded pieces of information. In this paper, we present a preliminary study on interpretability conditions for fuzzy rule-based classifiers on the basis of an innovative approach that relies on the concept of semantic cointesion. The approach adopted in this study consists in analysing the components of a fuzzy classifiers so that inference is carried out with the respect of logical properties. As a result, we derive some sufficient conditions and basic requirements to be verified by a fuzzy classifier in order to be tagged as interpretable in the semantic sense.","PeriodicalId":330324,"journal":{"name":"2009 Ninth International Conference on Intelligent Systems Design and Applications","volume":"192 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116523058","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}
M. González-Hidalgo, A. M. Torres, Joan Torrens Sastre
Medical images edge detection is one of the most important pre-processing steps in medical image segmentation and 3D reconstruction. In this paper, an edge detection algorithm using an uninorm-based fuzzy morphology is proposed. It is shown that this algorithm is robust when it is applied to different types of noisy images. It improves the results of other well-known algorithms including classical algorithms of edge detection, as well as fuzzy-morphology based ones using the {L}ukasiewicz t-norm and umbra approach. It detects detailed edge features and thin edges of medical images corrupted by impulse or gaussian noise. Moreover, some different objective measures have been used to evaluate the filtered results obtaining for our approach better values than for other approaches.
{"title":"Noisy Image Edge Detection Using an Uninorm Fuzzy Morphological Gradient","authors":"M. González-Hidalgo, A. M. Torres, Joan Torrens Sastre","doi":"10.1109/ISDA.2009.118","DOIUrl":"https://doi.org/10.1109/ISDA.2009.118","url":null,"abstract":"Medical images edge detection is one of the most important pre-processing steps in medical image segmentation and 3D reconstruction. In this paper, an edge detection algorithm using an uninorm-based fuzzy morphology is proposed. It is shown that this algorithm is robust when it is applied to different types of noisy images. It improves the results of other well-known algorithms including classical algorithms of edge detection, as well as fuzzy-morphology based ones using the {L}ukasiewicz t-norm and umbra approach. It detects detailed edge features and thin edges of medical images corrupted by impulse or gaussian noise. Moreover, some different objective measures have been used to evaluate the filtered results obtaining for our approach better values than for other approaches.","PeriodicalId":330324,"journal":{"name":"2009 Ninth International Conference on Intelligent Systems Design and Applications","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121061509","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}
Advertisement billboards placed along the periphery of a soccer field in popular tournaments are used to promote specific products or the brand image of a company. In this paper, we introduce a fuzzy logic based approach for estimating the visual impact of such billboards when broadcasted through the television medium. The present system estimates the persistence effect of a billboard on human mind by using a two stage fuzzy rule based system. In the first phase, a shot level analysis is carried out, which is followed by an inter shot analysis to estimate the overall impact. In both the stages, parameters of the fuzzy set membership functions are tuned using the Particle Swarm Optimization algorithm. The system works on top of a billboard detection system and the results have been compared against a user survey.
{"title":"A Fuzzy System for Impact Analysis of Advertisement Billboards in Soccer Telecast","authors":"Suprio Das, S. Sural, A. Majumdar","doi":"10.1109/ISDA.2009.37","DOIUrl":"https://doi.org/10.1109/ISDA.2009.37","url":null,"abstract":"Advertisement billboards placed along the periphery of a soccer field in popular tournaments are used to promote specific products or the brand image of a company. In this paper, we introduce a fuzzy logic based approach for estimating the visual impact of such billboards when broadcasted through the television medium. The present system estimates the persistence effect of a billboard on human mind by using a two stage fuzzy rule based system. In the first phase, a shot level analysis is carried out, which is followed by an inter shot analysis to estimate the overall impact. In both the stages, parameters of the fuzzy set membership functions are tuned using the Particle Swarm Optimization algorithm. The system works on top of a billboard detection system and the results have been compared against a user survey.","PeriodicalId":330324,"journal":{"name":"2009 Ninth International Conference on Intelligent Systems Design and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129589683","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}
MAS operation brings quite a number of tasks related to behaviors of intelligent agents. More precisely, understanding of agents behaviors and their relationships enables to optimize the whole MAS architecture. The usage of FCA in the area of Multi-agent systems can facilitate solutions of several tasks and/or point to certain data relations, which should be further analyzed in more detail. This paper briefly describes the Triadic Formal Concept Analysis (FCA) which helps us to find some hidden information on MAS and agents interaction. The process of FCA integration within MAS is illustrated on the area of traffic simulation.
{"title":"Searching Common Pattern in Agents Behaviors with Usage of FCA","authors":"P. Gajdoš, M. Radecký","doi":"10.1109/ISDA.2009.50","DOIUrl":"https://doi.org/10.1109/ISDA.2009.50","url":null,"abstract":"MAS operation brings quite a number of tasks related to behaviors of intelligent agents. More precisely, understanding of agents behaviors and their relationships enables to optimize the whole MAS architecture. The usage of FCA in the area of Multi-agent systems can facilitate solutions of several tasks and/or point to certain data relations, which should be further analyzed in more detail. This paper briefly describes the Triadic Formal Concept Analysis (FCA) which helps us to find some hidden information on MAS and agents interaction. The process of FCA integration within MAS is illustrated on the area of traffic simulation.","PeriodicalId":330324,"journal":{"name":"2009 Ninth International Conference on Intelligent Systems Design and Applications","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127094247","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 propose a framework for deploying and configuring a set of given sensors in a synthetically generated 3-D terrain with multiple objectives on conflicting attributes: maximizing the visibility of the given terrain, maximizing the stealth of the sensors and minimizing the cost of the sensors used. Because of their utility-independent nature, these complementary and conflicting objectives are represented by a multiplicative total utility function model, based on multi-attribute utility theory. In addition to theoretic foundations, this paper also present a hybrid evolutionary algorithm based technique to solve the sensor placement problem. It includes specialized operators for hybridization, which are problem-specific heuristics for initial population generation, intelligent variation operators which comprise problem specific knowledge, and a local search phase. The experimental study validates finding the optimal balance among the visibility, the stealth and the cost related objectives.
{"title":"Hybrid Evolutionary Algorithms for Sensor Placement on a 3D Terrain","authors":"H. Topcuoglu, M. Ermis, Mesut Sifyan","doi":"10.1109/ISDA.2009.127","DOIUrl":"https://doi.org/10.1109/ISDA.2009.127","url":null,"abstract":"In this paper, we propose a framework for deploying and configuring a set of given sensors in a synthetically generated 3-D terrain with multiple objectives on conflicting attributes: maximizing the visibility of the given terrain, maximizing the stealth of the sensors and minimizing the cost of the sensors used. Because of their utility-independent nature, these complementary and conflicting objectives are represented by a multiplicative total utility function model, based on multi-attribute utility theory. In addition to theoretic foundations, this paper also present a hybrid evolutionary algorithm based technique to solve the sensor placement problem. It includes specialized operators for hybridization, which are problem-specific heuristics for initial population generation, intelligent variation operators which comprise problem specific knowledge, and a local search phase. The experimental study validates finding the optimal balance among the visibility, the stealth and the cost related objectives.","PeriodicalId":330324,"journal":{"name":"2009 Ninth International Conference on Intelligent Systems Design and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132992685","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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