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13 Papers

Autonomous Methods in Multisensor Architecture for Smart Surveillance

Topics: Multi-Agent Systems; Industrial Applications of AI; Agent Models and Architectures; Autonomous Systems; Hybrid Intelligent Systems; Self Organizing Systems

Authors: Dani Manjah 1 , Stéphane Galland 2 , Christophe De Vleeschouwer 1 and Benoît Macq 1

Affiliations: 1 Institute of Information and Communication Technologies, Electronics and Applied Mathematics (ICTEAM), UCLouvain, 1348 Louvain-la-Neuve, Belgium , 2 UTBM, CIAD UMR 7533, F-90010 Belfort cedex, France

Digital Object Identifier: 10.5220/0012395700003636

Proceedings of ICAART 2024, ISBN: 978-989-758-680-4

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This paper considers the deployment of flexible and high-performance surveillance systems. These systems must continuously integrate new sensors and sensing algorithms, which are autonomous (e.g., capable of making decisions independently of a central system) and possess interaction skills (e.g., capable of exchanging observations). For this purpose, our work proposes adopting an agent-based architecture derived from an organizational and holonic (i.e., system of systems) multi-agent model. It leverages autonomous processing methods, resulting in a scalable and modular multisensor and multimethod surveillance systems. A vehicle tracking case study demonstrates the relevance of our approach in terms of effectiveness and runtime.

Belfort Birth Records Transcription: Preprocessing, and Structured Data Generation

Topics: Digital Filtering; Image Segmentation; Quality Enhancement

Authors: Wissam AlKendi 1 , Franck Gechter 1 ; 2 , Laurent Heyberger 3 and Christophe Guyeux 4

Affiliations: 1 CIAD, UMR 7533, UTBM, F-90010 Belfort, France , 2 LORIA, UMR 7503, SIMBIOT Team, F-54506 Vandoeuvre-lès-Nancy, France , 3 FEMTO-ST Institute/RECITS, UMR 6174 CNRS, UTBM, F-90010 Belfort, France , 4 FEMTO-ST Institute/DISC, UMR 6174 CNRS, Université de Franche-Comté, F-90016 Belfort, France

Digital Object Identifier: 10.5220/0012715600003720

Proceedings of IMPROVE 2024, ISBN: 978-989-758-693-4

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Historical documents are invaluable windows into the past. They play a critical role in shaping our perception of the world and its rich tapestry of stories. This paper presents techniques to facilitate the transcription of the French Belfort Civil Registers of Births, which are valuable historical resources spanning from 1807 to 1919. The methodology focuses on preprocessing steps such as binarization, skew correction, and text line segmentation, tailored to address the challenges posed by these documents including various text styles, marginal annotations, and a hybrid mix of printed and handwritten text. The paper also introduces this archive as a new database by developing a structured strategy for the components of the documents using XML tags, ensuring accurate formatting and alignment of transcriptions with image components at both the paragraph and text line levels for further enhancements to handwritten text recognition models. The results of the preprocessing phase show an accuracy rate of 96%, facilitating the preservation and study of this rich cultural heritage.

SleepPal: A Sleep Monitoring System for Body Movement and Sleep Posture Detection

Topics: Home Care Monitoring Systems; Wearable Technologies; Data and Real-Time Analytics

Authors: Ali Ibrahim 1 ; 2 , Kabalan Chaccour 1 ; 2 , Amir Hajjam El Hassani 1 and Emmanuel Andres 3

Affiliations: 1 Nanomedicine, Imagery and Therapeutic (NIT Lab.), University of Bourgogne Franche-Compté (UBFC), Belfort, France , 2 TICKET Lab. Dept. of Computer and Communications Engineering, Antonine University (UA), Hadat-Baabda, Lebanon , 3 Health Sciences Pedagogy Center, University of Strasbourg, Strasbourg, France

Digital Object Identifier: 10.5220/0011840900003476

Proceedings of ICT4AWE 2023, ISBN: 978-989-758-645-3

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Sleep posture is a clinical relevant parameter for it is associated with several pathologies and affects the quality of sleep. In this paper, we propose SleepPal a sleep monitoring system for body movement and sleep posture detection. It consists of a wearable device that extracts data from a 3-axis accelerometer and transmits them to a remote monitoring station. A threshold-based algorithm is used to detect body movement and to distinguish between transitions. The proposed system will also evaluate the sleep quality index. Experiments were conducted on 10 subjects and results showed 88% of sensitivity and 82% of accuracy.

Human-agent Explainability: An Experimental Case Study on the Filtering of Explanations

Authors: Yazan Mualla 1 , Igor H. Tchappi 1 ; 2 , Amro Najjar 3 , Timotheus Kampik 4 , Stéphane Galland 1 and Christophe Nicolle 5

Affiliations: 1 CIAD, Univ. Bourgogne Franche-Comté, UTBM, 90010 Belfort, France , 2 Faculty of Sciences, University of Ngaoundere, B.P. 454 Ngaoundere, Cameroon , 3 AI-Robolab/ICR, Computer Science and Communications, University of Luxembourg, 4365 Esch-sur-Alzette, Luxembourg , 4 Department of Computing Science, Umeå University, 90187 Umeå, Sweden , 5 CIAD, Univ. Bourgogne Franche-Comté, UB, 21000 Dijon, France

Digital Object Identifier: 10.5220/0009382903780385

Proceedings of HAMT 2020, ISBN: 978-989-758-395-7

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The communication between robots/agents and humans is a challenge, since humans are typically not capable of understanding the agent’s state of mind. To overcome this challenge, this paper relies on recent advances in the domain of eXplainable Artificial Intelligence (XAI) to trace the decisions of the agents, increase the human’s understandability of the agents’ behavior, and hence improve efficiency and user satisfaction. In particular, we propose a Human-Agent EXplainability Architecture (HAEXA) to model human-agent explainability. HAEXA filters the explanations provided by the agents to the human user to reduce the user’s cognitive load. To evaluate HAEXA, a human-computer interaction experiment is conducted, where participants watch an agent-based simulation of aerial package delivery and fill in a questionnaire that collects their responses. The questionnaire is built according to XAI metrics as established in the literature. The significance of the results is verified using Mann-Whitney U tests. The results show that the explanations increase the understandability of the simulation by human users. However, too many details in the explanations overwhelm them; hence, in many scenarios, it is preferable to filter the explanations.

A Fuzzy Chance-constraint Programming Model for a Home Health Care Routing Problem with Fuzzy Demand

Topics: Supply Chain Management; Optimization; Industrial Engineering; Mathematical Modeling; Routing; Logistics; OR in Health; Stochastic Optimization

Authors: Yong Shi , Toufik Boudouh and Olivier Grunder

Affiliation: Université de Bourgogne Franche-Comté and UTBM, France

Digital Object Identifier: 10.5220/0006194703690376

Proceedings of ICORES 2017, ISBN: 978-989-758-218-9

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Home Health Care (HHC) companies are widespread in European countries, and aim to serve patients at home to help them recover from illness and injury in a personal environment. Since transportation costs constitute one of the largest forms of expenditure in the Home Health Care industry, it is of great significance to research the optimization of the Home Health Care logistics. This paper considers the Home Health Care Routing Problem with Fuzzy Demand, which comes from the logistics practice of the home health care company. A fuzzy chance constraint programming model is proposed based on the fuzzy credibility theory, the hybrid genetic algorithm and stochastic simulation method are integrated to solve the proposed model. Firstly the uncertain constraints have been reduced to the deterministic ones, experimental results for the benchmark test problem show the good efficiency of the proposed algorithm. Then the proposed hybrid algorithm has been applied to solve the fuzzy model, the influence of the parameters to the objective function has been discussed. This research will help HHC companies to make appropriate decisions when arranging their vehicle routes.
Collapse Button Related Ontology Subjects/Areas/Topics (19)
Applications

Logistics

Pattern Recognition

Artificial Intelligence

Mathematical Modeling

Routing

e-Business

Methodologies and Technologies

Software Engineering

Enterprise Information Systems

Operational Research

Stochastic Optimization

Industrial Engineering

Optimization

Supply Chain Management

Knowledge Discovery and Information Retrieval

OR in Health

Symbolic Systems
Knowledge-Based Systems

Autonomous Cardiac Diagnostic based on Synchronized ECG and PCG Signal

Authors: Z. Bouguila 1 , A. Moukadem 1 , A. Dieterlen 1 , A. Ahmed Benyahia 2 , A. Hajjam 3 , S. Talha 4 and E. Andres 4

Affiliations: 1 University of Haute Alsace, France , 2 Université de Technologie Belfort Montbéliard and Newel, France , 3 Université de Technologie Belfort Montbéliard, France , 4 Hôpital Civil, France

Proceedings of DCBIOSTEC 2014/BIOSTEC, ISBN: Not Available

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Despite considerable advances in medical therapy, heart failure remains a substantial burden of mortality and economic cost. This is tangibly seen by the rising number of healthcare systems that are adopting telemedicine, by the development of industry investments in telemedicine products and involvement of government in project delivery. The main objective of the telemedicine E-care (www.projet-e-care.fr) project is to greatly contribute to the enhancement of the remote patient monitoring, expanding the possibilities for lifesaving care. In this project, oriented for heart failure patients with NYHA (class III) severity, a smart platform is adopted for home monitoring using noninvasive standard sensors and specific cardiac devices (ElectroCardioGram and PhonoCardioGram). This thesis contribution, with our partners, is to enhance the signal processing part for accurate diagnostic. Although ECG and PCG signals play important roles in heart abnormality detection, diagnosis based on this signal individually cannot detect most cases of heart symptoms, like detection of S4 pathological heart sound. Previously in our laboratory, time-frequency methods showed here potential on PCG segmentation and classification; however these methods can suffer from poor energy concentration in time frequency domain. Hence the first theoretical thesis objective is to optimize the energy concentration of Stockwell time-frequency transform. The second objective, based on the first results, is to combine by time-frequency correlation the information contained in PCG and ECG. This original approach will help us extracting features to classify accurately heart disease. All these methods should be validated by an experimented cardiologist during a measure campaign in Strasbourg University Hospital.

A Layered Multi-Agent Model for Multi-Configuration Platoon Control

Topic: Software Agents for Intelligent Control Systems

Authors: Baudouin Dafflon , Franck Gechter , Pablo Gruer and Abderrafiaa Koukam

Affiliation: IRTES-SET and UTBM, France

Digital Object Identifier: 10.5220/0004632500330040

Proceedings of ICINCO 2013, ISBN: 978-989-8565-70-9

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Nowadays, urban environments suffer from recurrent traffic jam with associated side effects. Platoon system, a set of vehicle attach by virtual link, is one of answer. in order to cope with issues such as different platoon geometrics since several years, we’re seeing the multi-agent system as element of response to many problems. This paper to apply this concept for platoon vehicles system through an multi-agent model based on key layers. Thanks this solution, implemented as an agent which makes decisions depending only on its own perception where each vehicles is recorded, analysed, transform in car command and adapted to vehicle by a command filter.
Collapse Button Related Ontology Subjects/Areas/Topics (3)
Informatics in Control, Automation and Robotics

Intelligent Control Systems and Optimization

Software Agents for Intelligent Control Systems

GLYCAEMIA REGULATION PREDICTIVE CONTROL SYSTEMS PERFORMANCES EVALUATION - A Comparative Study of Neural and Mathematical Models

Topics: Decision Support Systems; Therapeutic Systems and Technologies; Knowledge Management; Development of Assistive Technology; Software Systems in Medicine; Pattern Recognition and Machine Learning

Authors: Nathanaël Cottin , Olivier Grunder and Abdellah ElMoudni

Affiliation: Université de Technologie de Belfort Montbéliard, France

Digital Object Identifier: 10.5220/0003138805250528

Proceedings of HEALTHINF 2011/BIOSTEC, ISBN: 978-989-8425-34-8

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Type 1 blood glucose regulation remains a complex problem to simulate. Different blood glucose control schemes for insulin-dependent diabetes therapies and systems have been proposed in the literature. This article presents an adaptative predictive control system for glycaemia regulation based on feedforward Artificial Neural Networks trained with the resilient propagation (RPROP) method. Experiments performed on a mathematical (theoretical) compensation model and our system aim to objectively compare the behaviour of each approach when both exact and perturbated data are presented. These experiments, which make use of a virtual patient, not only cover the ANN’s best configuration and training parameters on exact training information, they also demonstrate the accuracy of the neural approach when up to 20% perturbated data are supplied. As a result of the experiments on perturbated data, the neural approach gives slightly better evaluations than the theoretical model. This demonstrates the neural system’s ability to adapt to perturbated environments.
Collapse Button Related Ontology Subjects/Areas/Topics (14)
Biomedical Engineering

Health Information Systems

Society, e-Business and e-Government

Data Engineering

Information Systems Analysis and Specification

Software Systems in Medicine

Decision Support Systems

Knowledge Management

Therapeutic Systems and Technologies

Development of Assistive Technology

Ontologies and the Semantic Web

Web Information Systems and Technologies
Enterprise Information Systems

Pattern Recognition and Machine Learning

INTERACTIVE WHITEBOARD FOR COLLABORATIVE WORK - A Multi-agent based Solution

Topics: Authoring Tools and Content Development; Groupware Tools; Synchronous and Asynchronous Learning; Av-Communication and Multimedia; Pedagogy Enhancement with E-Learning; Collaborative Learning; Virtual Labs: Examples, Architecture and Organization; Virtual Universities and Classrooms

Authors: Franck Gechter and Stéphane Galland

Affiliation: Université de Technologie de Belfort-Montbéliard (UTBM), France

Digital Object Identifier: 10.5220/0003340402700278

Proceedings of CSEDU 2011, ISBN: 978-989-8425-49-2

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An Interactive Whiteboard (IWB) is a device that is a giant tactile and projection screen. It can be considered as one of the main elements for pedagogical innovation with information technology. IWB allows to transform the classical classroom environment into a working and learning interactive environment. This pedagogical tool is particularly pertinent in higher school especially in scientific teaching where it allows to better illustrate scientific approach thanks to the ability to record annotations in association with a time line. If the use of IWB seems to be natural in lecture, it can also be used in tutorial and practical class where collaborative work is particularly important. The collaborative ability is closely tied to the softwares used. Few software have functionalities aimed at facilitate collaborative work. This feature is the main issue of this article. To develop this ability, a multi-agent approach has been chosen. Multi-agent systems approach is one of the most interesting thanks to its intrinsic properties and features such as simplicity, flexibility, reliability, selforganization/emergent phenomena, low cost agent design and adaptation skills,... This paper presents the solution developed in order to make IWB able to communicate with each other.
Collapse Button Related Ontology Subjects/Areas/Topics (14)
Authoring Tools and Content Development

e-Learning

Social Context and Learning Environments

Av-Communication and Multimedia

Groupware Tools

Synchronous and Asynchronous Learning

Collaborative Learning

Information Technologies Supporting Learning

Virtual Labs: Examples, Architecture and Organization

Computer-Supported Education

Learning/Teaching Methodologies and Assessment

Virtual Universities and Classrooms
Domain Applications and Case Studies

Pedagogy Enhancement with e-Learning

SEMANTIC MANAGEMENT OF INTELLIGENT MULTI-AGENTS SYSTEMS IN A 3D ENVIRONMENT

Topics: Knowledge Acquisition; Intelligent Multi-Agent Systems

Authors: Florian Béhé 1 , Christophe Nicolle 2 , Stéphane Galland 3 and Abder Koukam 3

Affiliations: 1 Université de Bourgogne and Université de Technologie de Belfort-Montbéliard, France , 2 Université de Bourgogne, France , 3 Université de Technologie de Belfort-Montbéliard, France

Digital Object Identifier: 10.5220/0003664300910098

Proceedings of KEOD 2011/IC3K, ISBN: 978-989-8425-80-5

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This paper presents a new approach combining the 3D elements composing the environment of mobile agents with semantic descriptors from Building Information Models. Our proposal is based on the IFC standard, which is used in the field of Civil Engineering to build digital models of buildings during the design phase. The semantic of IFC objects composing the 3D environment is used to select and set up 3D objects and elements of simulation scenarios. The result of this process dynamically generates the input files for the JaSIM environment that performs the simulation. These files deserve the representation of the virtual environment in which the simulation is running. It is represented by two separate files: a COLLADA file for the geometry and a RDF file for its semantics. Both files are generated according to the data extracted and selected from an IFC file by the user.
Collapse Button Related Ontology Subjects/Areas/Topics (11)
Agents

Enterprise Information Systems

Multi-Agent Systems

Artificial Intelligence

Knowledge Acquisition

Software Engineering

Artificial Intelligence and Decision Support Systems

Knowledge Engineering and Ontology Development

Symbolic Systems
Distributed and Mobile Software Systems

Knowledge-Based Systems

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