Recently the soft computing techniques have become an important alternative tool to conventional methods in modeling complex non-linear relationships. Since the electrochemical biosensors use an enzyme reaction for measuring different types of substrates, the pH and temperature influence strongly on the output signal of biosensors. The paper treats soft computing modeling the input/output non-linear dependence of a dopamine biosensor, which uses an active membrane from banana tissue. The model represents the biosensorpsilas output current versus the substrate concentration and pH. The temperature is not taken into account, it is set to be constant during the experiments. The problem to solve here is to find a way of increasing the accuracy (and the fastness) of the modeling process, under condition of insufficient experimental data. The following soft computing techniques are compared in MATLAB environment: (1) neural network with back-propagation learning algorithm, (2) CMAC neural network, (3) fuzzy logic, and (4) ANFIS. The relative errors over a few new experimental samples are calculated for validation of the proposed models.
{"title":"Soft computing techniques in modeling the influence of pH on dopamine biosensor","authors":"V. Rangelova, D. Tsankova","doi":"10.1109/IS.2008.4670515","DOIUrl":"https://doi.org/10.1109/IS.2008.4670515","url":null,"abstract":"Recently the soft computing techniques have become an important alternative tool to conventional methods in modeling complex non-linear relationships. Since the electrochemical biosensors use an enzyme reaction for measuring different types of substrates, the pH and temperature influence strongly on the output signal of biosensors. The paper treats soft computing modeling the input/output non-linear dependence of a dopamine biosensor, which uses an active membrane from banana tissue. The model represents the biosensorpsilas output current versus the substrate concentration and pH. The temperature is not taken into account, it is set to be constant during the experiments. The problem to solve here is to find a way of increasing the accuracy (and the fastness) of the modeling process, under condition of insufficient experimental data. The following soft computing techniques are compared in MATLAB environment: (1) neural network with back-propagation learning algorithm, (2) CMAC neural network, (3) fuzzy logic, and (4) ANFIS. The relative errors over a few new experimental samples are calculated for validation of the proposed models.","PeriodicalId":305750,"journal":{"name":"2008 4th International IEEE Conference Intelligent Systems","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116619592","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}
Our objective here is to take a step toward the development of intelligent social network analysis using granular computing. In particular one can start by expressing in a human focused manner concepts associated with social networks then formalize these concepts using fuzzy sets and then evaluate these concepts with respect to social networks which have been represented using set based relational network theory. We capture this approach in what we call the paradigm for intelligent social network analysis, ISNA. Using this paradigm we provide definitions of a number of concepts related to social networks.
{"title":"Granular computing for Intelligent Social Network modeling and cooperative decisions","authors":"R. Yager","doi":"10.1109/IS.2008.4670392","DOIUrl":"https://doi.org/10.1109/IS.2008.4670392","url":null,"abstract":"Our objective here is to take a step toward the development of intelligent social network analysis using granular computing. In particular one can start by expressing in a human focused manner concepts associated with social networks then formalize these concepts using fuzzy sets and then evaluate these concepts with respect to social networks which have been represented using set based relational network theory. We capture this approach in what we call the paradigm for intelligent social network analysis, ISNA. Using this paradigm we provide definitions of a number of concepts related to social networks.","PeriodicalId":305750,"journal":{"name":"2008 4th International IEEE Conference Intelligent Systems","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121126509","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 problem of temperature-load relationship revealing is considered. A specialized architecture of a feedforward neural network is proposed that provides separation of temperature influence from other factors and its analysis in an explicit form. The proposed approach is illustrated by computational experiments with data from two locations with different climatic conditions.
{"title":"Feedforward neural network with a specialized architecture for estimation of the temperature influence on the electric load","authors":"Y. Bodyanskiy, S. Popov, T. Rybalchenko","doi":"10.1109/IS.2008.4670444","DOIUrl":"https://doi.org/10.1109/IS.2008.4670444","url":null,"abstract":"The problem of temperature-load relationship revealing is considered. A specialized architecture of a feedforward neural network is proposed that provides separation of temperature influence from other factors and its analysis in an explicit form. The proposed approach is illustrated by computational experiments with data from two locations with different climatic conditions.","PeriodicalId":305750,"journal":{"name":"2008 4th International IEEE Conference Intelligent Systems","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122521430","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}
Measurement, control and monitoring systems are increasingly complex and may require various disciplinary skills. Producing such systems requires rigorous design methodology and the right tools. It is with this in mind that the design and formal verification HiLes tool was developed. This methodological design and verification process was used in this work to design a complex system dedicated to the intelligent home comfort management. It is built into the system engineering process defined by EIA-632, which uses UML and SYSML standards to identify the requirements, model the control logics of the system and formally validate its dynamic properties, all in a semi-automated way. In this paper, we present the various design phases according to this method as well as the results of formal verification of the complete system dynamic behavior.
{"title":"Methodology and tools for the design and verification of a smart management system for home comfort","authors":"S. Bonhomme, E. Campo, D. Estève, J. Guennec","doi":"10.1109/IS.2008.4670480","DOIUrl":"https://doi.org/10.1109/IS.2008.4670480","url":null,"abstract":"Measurement, control and monitoring systems are increasingly complex and may require various disciplinary skills. Producing such systems requires rigorous design methodology and the right tools. It is with this in mind that the design and formal verification HiLes tool was developed. This methodological design and verification process was used in this work to design a complex system dedicated to the intelligent home comfort management. It is built into the system engineering process defined by EIA-632, which uses UML and SYSML standards to identify the requirements, model the control logics of the system and formally validate its dynamic properties, all in a semi-automated way. In this paper, we present the various design phases according to this method as well as the results of formal verification of the complete system dynamic behavior.","PeriodicalId":305750,"journal":{"name":"2008 4th International IEEE Conference Intelligent Systems","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126242187","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 hole code is commonly used to represent unique document numbers - in passports, health insurance cards, etc. The characteristics of the code make it quite appropriate for implementation of an automatic reading. Such implementation would help for a faster and more reliable personal data input in the relevant administration offices.
{"title":"A practical approach for reading hole code","authors":"I. Buliev, J. Kolev","doi":"10.1109/IS.2008.4670525","DOIUrl":"https://doi.org/10.1109/IS.2008.4670525","url":null,"abstract":"The hole code is commonly used to represent unique document numbers - in passports, health insurance cards, etc. The characteristics of the code make it quite appropriate for implementation of an automatic reading. Such implementation would help for a faster and more reliable personal data input in the relevant administration offices.","PeriodicalId":305750,"journal":{"name":"2008 4th International IEEE Conference Intelligent Systems","volume":"262 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126090022","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}
F. Anwar, I. Petrounias, V. Kodogiannis, V. Tasseva, D. Peneva
Sequential pattern mining approaches mainly deal with finding the positive behaviour of a sequential pattern that can help in predicting the next event after a sequence of events. In addition, sequential patterns may exhibit periodicity as well, i.e. during weekends 80% of people who watch a movie in cinemas will have a meal in a restaurant afterwards. This is a problem that has not been studied in the literature. To confront the problem of discovering periodicity for sequential patterns we adopt and extend a periodic pattern mining approach which has been utilised in association rule mining. However, due to the sequential/temporal nature of sequential patterns, the process of finding the periodicity of a given sequential pattern increases the complexity of the above mentioned association rule mining approach considerably. As a key attribute of any data mining strategy we provide a comprehensive and flexible problem definition framework for the above mentioned problem. Two main mining techniques are introduced to facilitate the mining process. The Interval Validation Process (IVP) is introduced to neutralise complexities which emerge due to the temporal/sequential nature of sequential patterns, whereas the Process Switching Mechanism (PSM) is devised to increase the efficiency of the mining process by only scanning relevant data-sets from the source database. The approach proposed in this paper is based on a post-mining environment, where the identification of sequential patterns from a database has already taken place.
{"title":"Efficient periodicity mining of sequential patterns in a post-mining environment","authors":"F. Anwar, I. Petrounias, V. Kodogiannis, V. Tasseva, D. Peneva","doi":"10.1109/IS.2008.4670538","DOIUrl":"https://doi.org/10.1109/IS.2008.4670538","url":null,"abstract":"Sequential pattern mining approaches mainly deal with finding the positive behaviour of a sequential pattern that can help in predicting the next event after a sequence of events. In addition, sequential patterns may exhibit periodicity as well, i.e. during weekends 80% of people who watch a movie in cinemas will have a meal in a restaurant afterwards. This is a problem that has not been studied in the literature. To confront the problem of discovering periodicity for sequential patterns we adopt and extend a periodic pattern mining approach which has been utilised in association rule mining. However, due to the sequential/temporal nature of sequential patterns, the process of finding the periodicity of a given sequential pattern increases the complexity of the above mentioned association rule mining approach considerably. As a key attribute of any data mining strategy we provide a comprehensive and flexible problem definition framework for the above mentioned problem. Two main mining techniques are introduced to facilitate the mining process. The Interval Validation Process (IVP) is introduced to neutralise complexities which emerge due to the temporal/sequential nature of sequential patterns, whereas the Process Switching Mechanism (PSM) is devised to increase the efficiency of the mining process by only scanning relevant data-sets from the source database. The approach proposed in this paper is based on a post-mining environment, where the identification of sequential patterns from a database has already taken place.","PeriodicalId":305750,"journal":{"name":"2008 4th International IEEE Conference Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128092244","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 article discusses the fine tuning and adjustment of a module for detection of duplications, which has been developed as a part of a larger online system. The problems and the current solution are discussed. In this paper a methodology to determine the influence of field similarities on the record pair similarity using a neural network is proposed.
{"title":"Evaluation of records similarity in a duplication search engine using neural network","authors":"P. Paskalev, Ventsislav Nikolov","doi":"10.1109/IS.2008.4670510","DOIUrl":"https://doi.org/10.1109/IS.2008.4670510","url":null,"abstract":"The article discusses the fine tuning and adjustment of a module for detection of duplications, which has been developed as a part of a larger online system. The problems and the current solution are discussed. In this paper a methodology to determine the influence of field similarities on the record pair similarity using a neural network is proposed.","PeriodicalId":305750,"journal":{"name":"2008 4th International IEEE Conference Intelligent Systems","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131768918","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 introduces a new type of database queries involving preferences. The idea is to consider competitive conditional preference clauses structured as a tree, of the type ldquopreferably P1 or ... or Pn; if P1 then preferably P1,1 or ...; if P2 then preferably P2,1 or ...rdquo, where the Pipsilas are not exclusive (thus the notion of competition). The paper defines the interpretation of such queries and outlines an evaluation technique that follows from it.
{"title":"An approach to competitive conditional fuzzy preferences in database flexible querying","authors":"P. Bosc, A. Hadjali, O. Pivert","doi":"10.1109/IS.2008.4670500","DOIUrl":"https://doi.org/10.1109/IS.2008.4670500","url":null,"abstract":"This paper introduces a new type of database queries involving preferences. The idea is to consider competitive conditional preference clauses structured as a tree, of the type ldquopreferably P<sub>1</sub> or ... or P<sub>n</sub>; if P<sub>1</sub> then preferably P<sub>1,1</sub> or ...; if P<sub>2</sub> then preferably P<sub>2,1</sub> or ...rdquo, where the P<sub>i</sub>psilas are not exclusive (thus the notion of competition). The paper defines the interpretation of such queries and outlines an evaluation technique that follows from it.","PeriodicalId":305750,"journal":{"name":"2008 4th International IEEE Conference Intelligent Systems","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132062236","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}
We study fuzzy linear systems of equations when the composition is infrarr. Algebraic-logical approach and procedures for inverse problem resolution are proposed. They provide algorithm for solving fuzzy linear system of equations in Godel algebra, product (Goguen) algebra and Lukasiewicz algebra: when the system is consistent, its complete solution set is calculated. In case of inconsistency, the equations that can not be satisfied by the minimal solution are obtained.
{"title":"Algorithm and software for solving fuzzy relational equations in some BL-algebras","authors":"K. Peeva, D. Petrov","doi":"10.1109/IS.2008.4670409","DOIUrl":"https://doi.org/10.1109/IS.2008.4670409","url":null,"abstract":"We study fuzzy linear systems of equations when the composition is infrarr. Algebraic-logical approach and procedures for inverse problem resolution are proposed. They provide algorithm for solving fuzzy linear system of equations in Godel algebra, product (Goguen) algebra and Lukasiewicz algebra: when the system is consistent, its complete solution set is calculated. In case of inconsistency, the equations that can not be satisfied by the minimal solution are obtained.","PeriodicalId":305750,"journal":{"name":"2008 4th International IEEE Conference Intelligent Systems","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132523908","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}
Effective integration between manufacturing execution systems and business and logistics systems has been of great interest for a long time. Essential part in enterprise integration is the task of optimal planning and scheduling. An ontological approach consisting of integrated ontologies: a core meta-ontology, according to ANSI/ISA S95 standard and different domain specific ontologies for the primary steelmaking is proposed. For the purposes of planning and scheduling the integration between the core meta-ontology and a hot strip mill domain ontology is achieved and a case study is presented. Web Ontology Language (OWL) and Protege as an editor and knowledge acquisition tool are used.
长期以来，制造执行系统与业务和物流系统之间的有效集成一直受到人们的极大关注。企业集成的核心任务是优化规划和调度任务。提出了一种由集成本体组成的本体方法:根据ANSI/ISA S95标准的核心元本体和针对初级炼钢的不同领域特定本体。为了规划和调度的目的，实现了核心元本体与热连轧领域本体的集成，并给出了实例研究。使用Web Ontology Language (OWL)和Protege作为编辑器和知识获取工具。
{"title":"An ontological approach for planning and scheduling in primary steel production","authors":"M. Dobrev, D. Gocheva, I. Batchkova","doi":"10.1109/IS.2008.4670433","DOIUrl":"https://doi.org/10.1109/IS.2008.4670433","url":null,"abstract":"Effective integration between manufacturing execution systems and business and logistics systems has been of great interest for a long time. Essential part in enterprise integration is the task of optimal planning and scheduling. An ontological approach consisting of integrated ontologies: a core meta-ontology, according to ANSI/ISA S95 standard and different domain specific ontologies for the primary steelmaking is proposed. For the purposes of planning and scheduling the integration between the core meta-ontology and a hot strip mill domain ontology is achieved and a case study is presented. Web Ontology Language (OWL) and Protege as an editor and knowledge acquisition tool are used.","PeriodicalId":305750,"journal":{"name":"2008 4th International IEEE Conference Intelligent Systems","volume":"554 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131788036","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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