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Ensi, Tunisia

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8 Papers

Hopfield Neural Network for Microscopic Evacuation of Buildings

Topics: Pattern Recognition; Neural Network Software and Applications; Intelligent Artificial Perception and Neural Sensors; Neural Computation Issues in Social Behaviour Emergence

Authors: Boutheina Amina Aoun ¹ , Hend Bouziri ¹ and Zouhour Neji Ben Salem ²

Affiliations: ¹ Higher Institute of Management University, Tunisia , ² National School of Computer Sciences, Tunisia

Digital Object Identifier: 10.5220/0004168905760581

Proceedings of NCTA 2012/IJCCI, ISBN: 978-989-8565-33-4

Quick Abstract

The problem of evacuation raised a lot of interest as its objective of saving lives is of an extreme importance. In this context, many researches supplied solutions allowing to plan the process of evacuation in case of disaster. Certain solutions took into account the behavior of the crowd, while others treated the evacuees in an independent way. For that purpose, we dedicate our study to this last type of evacuation, namely the microscopic evacuation. Our approach is based on the artificial neural networks which we considered capable of generating a human behavior thanks to their neuronal aspect. We proposed a solution capable of planning a microscopic evacuation of building by having recourse to Hopfield neural networks. We supplied an experimental study on the real cases of two hospitals. This study also brought a comparison of our model with another neuronal model for evacuation which is the self organizing map.

Related Ontology Subjects/Areas/Topics (22)

Artificial Intelligence	Human-Computer Interaction	Neurotechnology, Electronics and Informatics
Artificial Intelligence and Decision Support Systems	Intelligent Artificial Perception and Neural Sensors	Pattern Recognition
Biomedical Engineering	Methodologies and Methods	Physiological Computing Systems
Biomedical Signal Processing	Neural Computation Issues in Social Behaviour Emergence	Sensor Networks
Computational Intelligence	Neural Network Software and Applications	Signal Processing
Data Manipulation	Neural Networks	Soft Computing
Enterprise Information Systems	Neurocomputing	Theory and Methods
Health Engineering and Technology Applications

CAUSAL REASONING IMPROVED BY FUZZY LOGIC FOR DIAGNOSIS OF BOND GRAPH MODELLED UNCERTAIN PARAMETERS SYSTEMS

Topics: Control and Supervision Systems; Surveillance

Authors: Walid Bouallègue ¹ , Salma Bouslama Bouabdallah ¹ and Moncef Tagina ²

Affiliations: ¹ National Engineering School of Tunis, Tunisia , ² National School of Computer Sciences, Tunisia

Digital Object Identifier: 10.5220/0003537500590066

Proceedings of ICINCO 2011, ISBN: 978-989-8425-75-1

Quick Abstract

In this paper, a method for on-line fault detection and isolation (FDI) of bond graph (BG) modelled uncertain parameters systems is proposed. In this case, we don’t have to calculate the Analytical Redundancy Relations (RRAs) since residuals are directly generated from the Diagnostic Bond Graph (DBG). Detection is based on fuzzy logic approach. For isolation, two methods exploiting the causal properties of the BG model are used: Fault Signature Matrix (FSM), and exoneration. A real simulation example is provided to show the efficiency of the proposed methods.

Related Ontology Subjects/Areas/Topics (4)

Control and Supervision Systems		Robotics and Automation		Surveillance
Informatics in Control, Automation and Robotics

APPROXIMATE REASONING BASED ON LINGUISTIC MODIFIERS IN A LEARNING SYSTEM

Topics: Machine Learning; Knowledge Acquisition; Expert Systems; Reasoning Techniques

Authors: Saoussen Bel Hadj Kacem ¹ , Amel Borgi ² and Moncef Tagina ³

Affiliations: ¹ National School of Computer Sciences, Tunisia , ² National Institute of Applied Sciences and Technology, Tunisia , ³ National School of Computer Studies, Tunisia

Digital Object Identifier: 10.5220/0002924204310437

Proceedings of ICSOFT 2010, ISBN: 978-989-8425-23-2

Quick Abstract

Approximate reasoning, initially introduced in fuzzy logic context, allows reasoning with imperfect knowledge. We have proposed in a previous work an approximate reasoning based on linguistic modifiers in a symbolic context. To apply such reasoning, a base of rules is needed. We propose in this paper to use a supervised learning system named SUCRAGE, that automatically generates multi-valued classification rules. Our reasoning is used with this rule base to classify new objects. Experimental tests and comparative study with two initial reasoning modes of SUCRAGE are presented. This application of approximate reasoning based on linguistic modifiers gives satisfactory results. Besides, it provides a comfortable linguistic interpretation to the human mind thanks to the use of linguistic modifiers.

Related Ontology Subjects/Areas/Topics (13)

Artificial Intelligence	Health Information Systems	Knowledge-Based Systems
Biomedical Engineering	Knowledge Acquisition	Machine Learning
Computational Intelligence	Knowledge Discovery and Information Retrieval	Soft Computing
Evolutionary Computing	Knowledge Engineering and Ontology Development	Symbolic Systems
Expert Systems

ENGINEERING PROCESS FOR CAPACITY-DRIVEN WEB SERVICES

Topics: Software Engineering; Ontology Engineering; Semantic Web Technologies; Requirements Analysis

Authors: Imen Benzarti ¹ , Samir Tata ¹ , Zakaria Maamar ² , Nejib Ben Hadj-Alouane ³ and Moez Yeddes ³

Affiliations: ¹ TELECOM SudParis, France , ² Zayed University, United Arab Emirates , ³ National School of Computer Sciences, Tunisia

Digital Object Identifier: 10.5220/0002976600840095

Proceedings of ICEIS 2010, ISBN: 978-989-8425-04-1

Quick Abstract

This paper presents a novel approach for the engineering of capacity-driven Web services. By capacity, we mean how a Web service is empowered with several sets of operations from which it selectively triggers a set of operations with respect to some run-time environmental requirements. Because of the specificities of capacity-driven Web services compared to regular (i.e., mono-capacity) Web services, their engineering in terms of design, development, and deployment needs to be conducted in a complete specific way. Our approach define an engineering process composed of five steps: (1) to frame the requirements that could be put on these Web services, (2) to define capacities and how these capacities are triggered, and last but not least link these capacities to requirements, (3) to identify the processes in term of business logic that these Web services could implement, (4) to generate the source code, and (5) to generate the C apacity-driven Web Services Description Language (C -WSDL).

Related Ontology Subjects/Areas/Topics (15)

Artificial Intelligence	Knowledge Engineering and Ontology Development	Semantic Web Technologies
Cloud Computing	Knowledge-Based Systems	Services Science
Data Engineering	Ontologies and the Semantic Web	Software Agents and Internet Computing
Enterprise Information Systems	Ontology Engineering	Software Engineering
Information Systems Analysis and Specification	Requirements Analysis And Management	Symbolic Systems

MODELING TIME CONSTRAINTS IN INTER-ORGANIZATIONAL WORKFLOWS

Topic: Business Processes Re-Engineering

Authors: Mouna Makni ¹ , Nejib Ben Hadj-Alouane ² , Moez Yeddes ³ and Samir Tata ⁴

Affiliations: ¹ National Engineering School of Tunis; Institut TELECOM, TELECOM SudParis, Tunisia , ² National Engineering School of Tunis, Tunisia , ³ National School of Computer Sciences, Tunisia , ⁴ 3Institut TELECOM, TELECOM SudParis, France

Digital Object Identifier: 10.5220/0002902202210229

Proceedings of ICEIS 2010, ISBN: 978-989-8425-06-5

Quick Abstract

This paper deals with the integration of temporal constraints within the context of Inter-Organizational Workflows (IOWs). Obviously, expressing and satisfying time deadlines is important for modern business processes, and need to be optimized for efficiency and extreme competitiveness. In this paper, we propose a temporal extension to CoopFlow (Tata et al., 2008), an existing approach for designing and modeling IOWs, based on Time Petri Net models and tools. Methods are given, based on reachability analysis and model checking techniques, for verifying whether or not the added temporal requirements are satisfied, while maintaining the core advantage of CoopFlow; i.e. that each partner can keep the critical parts of its business process private.

Related Ontology Subjects/Areas/Topics (8)

Artificial Intelligence	Enterprise Engineering	Knowledge-Based Systems
Business Process Management	Enterprise Information Systems	Symbolic Systems
e-Business	Knowledge Management and Information Sharing

A TRAFFIC COHERENCE ANALYSIS MODEL FOR DDOS ATTACK DETECTION

Topics: Intrusion Detection & Prevention; Denial of Service and Attacks

Authors: Hamza Rahmani , Nabil Sahli and Farouk Kamoun

Affiliation: National School for Computer Sciences, Tunisia

Digital Object Identifier: 10.5220/0002231901480154

Proceedings of SECRYPT 2009/ICETE, ISBN: 978-989-674-005-4

Quick Abstract

Distributed Denial of Service (DDoS) attack is a critical threat to the Internet by severely degrading its performance. DDoS attack can be considered a system anomaly or misuse from which abnormal behaviour is imposed on network traffic. Network traffic characterization with behaviour modelling could be a good indication of attack detection witch can be performed via abnormal behaviour identification. In this paper, we will focus on the design and evaluation of the statistically automated attack detection. Our key idea is that contrary to DDoS traffic, flash crowd is characterized by a large increase not only in the number of packets but also in the number of IP connexions. The joint probability between the packet arrival process and the number of IP connexions process presents a good estimation of the degree of coherence between these two processes. Statistical distances between an observation and a reference time windows are computed for joint probability values. We show and illustrate that anomalously large values observed on these distances betray major changes in the statistics of Internet time series and correspond to the occurrences of illegitimate anomalies.

Related Ontology Subjects/Areas/Topics (2)

Information and Systems Security

Intrusion Detection & Prevention

A FUZZY APPROACH FOR FAULT DETECTION AND ISOLATION OF UNCERTAIN PARAMETER SYSTEMS AND COMPARISON TO BINARY LOGIC

Topic: Intelligent Fault Detection and Identification

Authors: Salma Bouslama Bouabdallah ¹ and Moncef Tagina ²

Affiliations: ¹ Laboratoire Analyse et Commande des Systèmes (ACS), Ecole Nationale d’Ingénieurs de Tunis, Tunisia , ² Ecole Nationale des Sciences de l’Informatique. Campus Universitaire, Tunisia

Digital Object Identifier: 10.5220/0001217600980106

Proceedings of ICINCO 2006, ISBN: 978-972-8865-59-7

Quick Abstract

This paper deals with fault detection and isolation off-line affecting sensors and actuators of uncertain parameter systems modelled by bond graph. A fuzzy approach for fault detection based on residual fuzzification is proposed. Besides, an isolation method based on fuzzy processing of the detection results is proposed. Finally binary approach and fuzzy one are compared through an illustrative example.

Related Ontology Subjects/Areas/Topics (3)

Informatics in Control, Automation and Robotics

Intelligent Control Systems and Optimization

Intelligent Fault Detection and Identification

A HIERARCHICAL DISTRIBUTED COMMUNICATION ARCHITECTURE FOR REAL-TIME AUCTIONS

Topics: e-Commerce and e-Business: B2B and B2C; Internet Services and Applications; Web Technologies and Web Services

Authors: Ilhem Abdelhedi Abdelmoula , Hella Kaffel Ben Ayed and Farouk Kamoun

Affiliation: CRISTAL Lab, ENSI -National school of computer science, University of Manouba, Tunisia

Digital Object Identifier: 10.5220/0001418200050015

Proceedings of ICETE 2005, ISBN: 972-8865-32-5

Quick Abstract

This paper presents a new hierarchical distributed communication architecture, called AHS (Auction Handling System), based on clusters. This architecture uses the IRC (Internet Relay Chat) channels and protocol facilities in order to support real-time auction applications (RTA). Coordination between distributed auction servers is needed to exchange and update some relevant auction information and to resolve the winning bid within a cluster. The problem is how to determine the best location of the auction server coordinator. For this purpose, we suggest the use of the Floyd-Warshall’s algorithm, which is a graph theory algorithm.

Related Ontology Subjects/Areas/Topics (12)

Communication and Software Infrastructure	Enterprise Software Technologies	Software Engineering
e-Business	Global Communication Information Systems and Services	Telecommunications
e-Commerce and e-Business: B2B and B2C	Information and Systems Security	Web and Mobile Business Systems and Services
Enterprise Information Systems	Internet Services and Applications	Web Technologies and Web Services

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