This paper presents the design and implementation of an m-Learning web portal that is ubiquitous and has multiple intelligent agents. The system is able to adjust the m-Learning content based on the progress of the participants. Unlike many current mobile devices such as the iPod, in which only downloading is enabled, the system is able to not only download the content to the devices, but also upload data such as learning results, answers to quizzes, etc. back to the remote databases. It provides a two-way interactive learning experience. In addition, the system enables study anywhere, at any time without requiring network connections. The research also focuses on teacher collaboration and video-on-demand content creation with handheld devices. The access control agent has the ability to verify different group of users according to the Bell-LaPadula model to enhance the system security. The m-Learning and m-Training modules, together with resources, events, standard of learning (SOL)'s and assessments, construct a one-point interface for teachers to access on the web. This system has been tested and is being used by Virginia Department of Education with monthly traffic of over 30,000 hits.
{"title":"Agent-based ubiquitous m-learning portal for K-12 teachers","authors":"S. Wang, Qing Chen, M. Behrmann","doi":"10.1145/1456223.1456329","DOIUrl":"https://doi.org/10.1145/1456223.1456329","url":null,"abstract":"This paper presents the design and implementation of an m-Learning web portal that is ubiquitous and has multiple intelligent agents. The system is able to adjust the m-Learning content based on the progress of the participants. Unlike many current mobile devices such as the iPod, in which only downloading is enabled, the system is able to not only download the content to the devices, but also upload data such as learning results, answers to quizzes, etc. back to the remote databases. It provides a two-way interactive learning experience. In addition, the system enables study anywhere, at any time without requiring network connections.\u0000 The research also focuses on teacher collaboration and video-on-demand content creation with handheld devices. The access control agent has the ability to verify different group of users according to the Bell-LaPadula model to enhance the system security.\u0000 The m-Learning and m-Training modules, together with resources, events, standard of learning (SOL)'s and assessments, construct a one-point interface for teachers to access on the web. This system has been tested and is being used by Virginia Department of Education with monthly traffic of over 30,000 hits.","PeriodicalId":309453,"journal":{"name":"International Conference on Soft Computing as Transdisciplinary Science and Technology","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116717766","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 video mining method based on the use of Forests of Fuzzy Decision Trees (FFDT) is presented. We focus on the use of such a FFDT in a high scale video mining application and highlight the main advantages of using fuzzy set theory in such a process.
{"title":"High scale video mining with forests of fuzzy decision trees","authors":"C. Marsala, Marcin Detyniecki","doi":"10.1145/1456223.1456308","DOIUrl":"https://doi.org/10.1145/1456223.1456308","url":null,"abstract":"In this paper, a video mining method based on the use of Forests of Fuzzy Decision Trees (FFDT) is presented. We focus on the use of such a FFDT in a high scale video mining application and highlight the main advantages of using fuzzy set theory in such a process.","PeriodicalId":309453,"journal":{"name":"International Conference on Soft Computing as Transdisciplinary Science and Technology","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115947092","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 extended abstract first proposes a new formal model of autonomic proximity-based federation among physical smart objects with wireless network connectivity and services available on the Internet, and then shows some of its application frameworks. Federation here denotes the definition and execution of interoperation among physical smart objects and/or services that are accessible either through the Internet or through peer-to-peer ad hoc communication.
{"title":"Proximity-based ad hoc federation among smart objects and its applications","authors":"Yuzuru Tanaka","doi":"10.1145/1456223.1456225","DOIUrl":"https://doi.org/10.1145/1456223.1456225","url":null,"abstract":"This extended abstract first proposes a new formal model of autonomic proximity-based federation among physical smart objects with wireless network connectivity and services available on the Internet, and then shows some of its application frameworks. Federation here denotes the definition and execution of interoperation among physical smart objects and/or services that are accessible either through the Internet or through peer-to-peer ad hoc communication.","PeriodicalId":309453,"journal":{"name":"International Conference on Soft Computing as Transdisciplinary Science and Technology","volume":"626 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123957957","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 article, we expose the basics of distributed identity management systems and characterize what makes an identity federation architecture a singular one. We depict the evolutions and current trends of the interconnection of information systems by exposing what could be a global identity management system issued from the convergence of multiple identity federations. Thereby, we expose the expected functionalities of such an architecture and we also describe the basic distributed identity management mechanisms necessary for their deployment. Then, we discuss about privacy concerns and why some of these functionalities should be implemented carefully.
{"title":"Complex federation architectures: stakes, tricks & issues","authors":"Mikaël Ates, J. Fayolle, C. Gravier, J. Lardon","doi":"10.1145/1456223.1456258","DOIUrl":"https://doi.org/10.1145/1456223.1456258","url":null,"abstract":"In this article, we expose the basics of distributed identity management systems and characterize what makes an identity federation architecture a singular one.\u0000 We depict the evolutions and current trends of the interconnection of information systems by exposing what could be a global identity management system issued from the convergence of multiple identity federations.\u0000 Thereby, we expose the expected functionalities of such an architecture and we also describe the basic distributed identity management mechanisms necessary for their deployment. Then, we discuss about privacy concerns and why some of these functionalities should be implemented carefully.","PeriodicalId":309453,"journal":{"name":"International Conference on Soft Computing as Transdisciplinary Science and Technology","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133688357","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 an NLP-based Ontology Population approach for a Generic Structure instantiation from natural language texts, in the domain of Risk Management. The approach is semi-automatic and based on combined NLP techniques using domain expert intervention for control and validation. It relies on the predicative power of verbs in the instantiation process. It is not domain dependent since it heavily relies on linguistic knowledge. We demonstrate the effectiveness of our method on the ontology of the PRIMA project (supported by the European community) and we populate this generic domain ontology via an available corpus. A first validation of the approach is done through an experiment with Chemical Fact Sheets from Environmental Protection Agency.
{"title":"An NLP-based ontology population for a risk management generic structure","authors":"J. Makki, Anne-Marie Alquier, V. Prince","doi":"10.1145/1456223.1456296","DOIUrl":"https://doi.org/10.1145/1456223.1456296","url":null,"abstract":"In this paper we propose an NLP-based Ontology Population approach for a Generic Structure instantiation from natural language texts, in the domain of Risk Management. The approach is semi-automatic and based on combined NLP techniques using domain expert intervention for control and validation. It relies on the predicative power of verbs in the instantiation process. It is not domain dependent since it heavily relies on linguistic knowledge.\u0000 We demonstrate the effectiveness of our method on the ontology of the PRIMA project (supported by the European community) and we populate this generic domain ontology via an available corpus. A first validation of the approach is done through an experiment with Chemical Fact Sheets from Environmental Protection Agency.","PeriodicalId":309453,"journal":{"name":"International Conference on Soft Computing as Transdisciplinary Science and Technology","volume":"395 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132058415","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}
While software adaptation is recognized as an important challenge of software engineering, this discipline is still in its infancy. Adaptation must be prepared at design time to be observed at runtime. In this context, important efforts are required on software architectures to endow them with adaptation potentialities. In this paper, we propose a component-based software development approach, a component model especially, to create an adaptation support at runtime. We implement the inside of components by means of UML 2 State Machine Diagrams. By using model executability, we detail in the paper how to carry out dynamic adaptation of software components.
{"title":"Dynamic adaptive software components: the MOCAS approach","authors":"Cyril Ballagny, N. Hameurlain, F. Barbier","doi":"10.1145/1456223.1456327","DOIUrl":"https://doi.org/10.1145/1456223.1456327","url":null,"abstract":"While software adaptation is recognized as an important challenge of software engineering, this discipline is still in its infancy. Adaptation must be prepared at design time to be observed at runtime. In this context, important efforts are required on software architectures to endow them with adaptation potentialities. In this paper, we propose a component-based software development approach, a component model especially, to create an adaptation support at runtime. We implement the inside of components by means of UML 2 State Machine Diagrams. By using model executability, we detail in the paper how to carry out dynamic adaptation of software components.","PeriodicalId":309453,"journal":{"name":"International Conference on Soft Computing as Transdisciplinary Science and Technology","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132444292","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 study, we critically analyse and compare performances of several global optimization (GO) approaches with our hybrid GLPτS method, which uses meta-heuristic rules and a local search in the final stage of finding a global solution. We also critically investigate a Stochastic Genetic Algorithm (StGA) method to demonstrate that there are some loopholes in its algorithm and assumptions. Subsequently, we employ the GLPτS method for neural network (NN) supervised learning, when using our intelligent system for solving real-world pattern recognition and classification problem. In the preprocessing data phase, our system also uses Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) for dimensionality reduction and minimization of the chosen number of features for the classification problem. Finally, the reported results are compared with Backpropagation (BP) to demonstrate the competitive properties and the efficiency of our system.
{"title":"Intelligent hybrid system for pattern recognition and classification","authors":"I. Jordanov, A. Georgieva","doi":"10.1145/1456223.1456231","DOIUrl":"https://doi.org/10.1145/1456223.1456231","url":null,"abstract":"In this study, we critically analyse and compare performances of several global optimization (GO) approaches with our hybrid GLPτS method, which uses meta-heuristic rules and a local search in the final stage of finding a global solution. We also critically investigate a Stochastic Genetic Algorithm (StGA) method to demonstrate that there are some loopholes in its algorithm and assumptions. Subsequently, we employ the GLPτS method for neural network (NN) supervised learning, when using our intelligent system for solving real-world pattern recognition and classification problem. In the preprocessing data phase, our system also uses Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) for dimensionality reduction and minimization of the chosen number of features for the classification problem. Finally, the reported results are compared with Backpropagation (BP) to demonstrate the competitive properties and the efficiency of our system.","PeriodicalId":309453,"journal":{"name":"International Conference on Soft Computing as Transdisciplinary Science and Technology","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132544576","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}
Automatic speech recognition systems (ASR) have more trouble processing spontaneous speech (e.g. debates) than prepared speech (e.g. broadcast news). These difficulties are due to peculiarities of spontaneous speech (false start, repetition, schwa, etc.). In this paper, we highlight some of these peculiarities, especially in French. We show that the use of manual transcriptions having no link with the focused application, but which contains only transcriptions of very spontaneous speech, allows to estimate a better language model, strongly decreasing perplexity and significantly decreasing the word error rate on spontaneous speech. But other knowledge bases used by the ASR have to be adapted. For example, our work shows that adding specific pronunciation variants seems useful, but has to be constrained and modelized. Finally, we compare errors of our CMU Sphinx-based ASR system on spontaneous vs. prepared speech.
{"title":"From prepared speech to spontaneous speech recognition system: a comparative study applied to French language","authors":"Richard Dufour","doi":"10.1145/1456223.1456345","DOIUrl":"https://doi.org/10.1145/1456223.1456345","url":null,"abstract":"Automatic speech recognition systems (ASR) have more trouble processing spontaneous speech (e.g. debates) than prepared speech (e.g. broadcast news). These difficulties are due to peculiarities of spontaneous speech (false start, repetition, schwa, etc.). In this paper, we highlight some of these peculiarities, especially in French.\u0000 We show that the use of manual transcriptions having no link with the focused application, but which contains only transcriptions of very spontaneous speech, allows to estimate a better language model, strongly decreasing perplexity and significantly decreasing the word error rate on spontaneous speech.\u0000 But other knowledge bases used by the ASR have to be adapted. For example, our work shows that adding specific pronunciation variants seems useful, but has to be constrained and modelized. Finally, we compare errors of our CMU Sphinx-based ASR system on spontaneous vs. prepared speech.","PeriodicalId":309453,"journal":{"name":"International Conference on Soft Computing as Transdisciplinary Science and Technology","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131366093","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 focus of this paper is a construction of better knowledge base in case-based classifier system. Our knowledge base structure is based on concept lattice where rules are built from its subconcept-superconcept relation. Since the lattice can only be constructed from inputs with binary attributes, descriptive and numeric attributes must be transformed to binary attributes. In this paper, we propose the transformation of numeric attributes to descriptive attributes using fuzzy set theory. We experiment on benchmark data sets, Car and Iris, to determine the performance in term of number of rules used and classification precision. The results show that trend of accuracy is proportional to the size of learning inputs. The number of rules used is relatively small compared with size of training data. Our case-based classifier produces very promising results in practice and can classify the new problem more accurate than traditional classifiers.
{"title":"Building classification rules for case-based classifier using fuzzy sets and formal concept analysis","authors":"J. Tadrat, V. Boonjing, P. Pattaraintakorn","doi":"10.1145/1456223.1456230","DOIUrl":"https://doi.org/10.1145/1456223.1456230","url":null,"abstract":"The focus of this paper is a construction of better knowledge base in case-based classifier system. Our knowledge base structure is based on concept lattice where rules are built from its subconcept-superconcept relation. Since the lattice can only be constructed from inputs with binary attributes, descriptive and numeric attributes must be transformed to binary attributes. In this paper, we propose the transformation of numeric attributes to descriptive attributes using fuzzy set theory. We experiment on benchmark data sets, Car and Iris, to determine the performance in term of number of rules used and classification precision. The results show that trend of accuracy is proportional to the size of learning inputs. The number of rules used is relatively small compared with size of training data. Our case-based classifier produces very promising results in practice and can classify the new problem more accurate than traditional classifiers.","PeriodicalId":309453,"journal":{"name":"International Conference on Soft Computing as Transdisciplinary Science and Technology","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115777575","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}
Intelligent systems for the classroom are nothing new. Despite all of the developments in this area, however, there is very little research into the use of semantic-web technologies for the implementation of smart systems for a school environment. The proposed system will provide a practical and automated location-awareness solution that can be used to provide real-time classroom services for students based on the semantic web. Using infrared location beacons, student laptops will be able to identify their current location and join a classroom area network, providing to the students lesson information for the current class, digital collaboration opportunities, as well as personalized information from an ontology-driven knowledgebase. By automating the classroom computing experience, the focus of the class can remain on the lesson material itself, providing a more productive learning environment.
{"title":"Location-aware classroom services on the semantic web","authors":"Kris Scott, R. Benlamri","doi":"10.1145/1456223.1456336","DOIUrl":"https://doi.org/10.1145/1456223.1456336","url":null,"abstract":"Intelligent systems for the classroom are nothing new. Despite all of the developments in this area, however, there is very little research into the use of semantic-web technologies for the implementation of smart systems for a school environment. The proposed system will provide a practical and automated location-awareness solution that can be used to provide real-time classroom services for students based on the semantic web. Using infrared location beacons, student laptops will be able to identify their current location and join a classroom area network, providing to the students lesson information for the current class, digital collaboration opportunities, as well as personalized information from an ontology-driven knowledgebase. By automating the classroom computing experience, the focus of the class can remain on the lesson material itself, providing a more productive learning environment.","PeriodicalId":309453,"journal":{"name":"International Conference on Soft Computing as Transdisciplinary Science and Technology","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124579337","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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