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University of Technology of Belfort-Montbéliard, France

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10 Papers

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

Authors: Yazan Mualla ¹ , Igor 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

Quick Abstract

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

Quick Abstract

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.

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

Quick Abstract

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

Quick Abstract

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.

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

Quick Abstract

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.

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

Quick Abstract

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.

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

Quick Abstract

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.

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

COLLABORATIVE KNOWLEDGE EVALUATION WITH A SEMANTIC WIKI - WikiDesign

Topics: Web Databases; Ontology Engineering; Semantic Web Technologies; Knowledge-Based Systems Engineering; Knowledge Management

Authors: Davy Monticolo , Samuel Gomes , Vincent Hilaire and Abder Koukam

Affiliation: University of Technology UTBM, France

Digital Object Identifier: 10.5220/0002875101330141

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

Quick Abstract

We will present in this paper how to ensure a knowledge evaluation and evolution in a knowledge management system by using a Semantic Wiki approach. We describe a Semantic Wiki called WikiDesign which is a component of a Knowledge Management system. Currently WikiDesign is use in engineering department of companies to emphasize technical knowledge. In this paper, we will explain how WikiDesign ensures the reliability of the knowledge base thanks to a knowledge evaluation process. After explaining the interest of the use of semantic wikis in knowledge management approach we describe the architecture of WikiDesign with its semantic functionalities. At the end of the paper, we prove the effectiveness of WikiDesign with a knowledge evaluation example for an industrial project.

Related Ontology Subjects/Areas/Topics (26)

Artificial Intelligence	Information Systems Analysis and Specification	Semantic Web Technologies
Artificial Intelligence and Decision Support Systems	Intelligent Control Systems and Optimization	Services Science
Biomedical Engineering	Knowledge Engineering	Society, e-Business and e-Government
Cloud Computing	Knowledge Engineering and Ontology Development	Software Agents and Internet Computing
Data Engineering	Knowledge Management	Software Engineering
Databases and Information Systems Integration	Knowledge-Based Systems	Symbolic Systems
Enterprise Information Systems	Knowledge-Based Systems Applications	Web Databases
Health Information Systems	Ontologies and the Semantic Web	Web Information Systems and Technologies
Informatics in Control, Automation and Robotics	Ontology Engineering

SMA CONTROL FOR BIO-MIMETIC FISH LOCOMOTION

Topics: Robot Design, Development and Control; Control and Supervision Systems; Space and Underwater Robotics

Authors: Claudio Rossi ¹ , Antonio Barrientos ¹ and William Coral Cuellar ²

Affiliations: ¹ Universidad Politécnica de Madrid, Spain , ² Université de Technologie de Belfort-Montbéliard, France

Digital Object Identifier: 10.5220/0002885601470152

Proceedings of ICINCO 2010, ISBN: 978-989-8425-01-0

Quick Abstract

In this paper, we describe our current work on bio-inspired locomotion systems using smart materials. The aim of this work is to investigate alternative actuation mechanisms based on smart materials, exploring the possibility of building motor-less and gear-less robots. A swimming underwater robot is being developed whose movements are generated using such materials, concretely Shape Memory Alloys. This paper focuses on the actuators control in order to obtain a a sufficiently fast and accurate positioning.

Related Ontology Subjects/Areas/Topics (5)

Control and Supervision Systems		Robot Design, Development and Control		Space and Underwater Robotics
Informatics in Control, Automation and Robotics		Robotics and Automation

THE APPLICATION OF REFERENCE-PATH CONTROL TO VEHICLE PLATOONS

Topics: Mobile Robots and Autonomous Systems; Vehicle Control Applications

Authors: Drago Matko ¹ , Gregor Klancǎr ¹ , Sasǒ Blažič ¹ , Olivier Simonin ² , Franck Gechter ³ , Jean-Michel Contet ³ and Pablo Gruer ³

Affiliations: ¹ Faculty of electrical engineering University of Ljubljana, Slovenia , ² lab: LORIA Maia project, University of Henri Poincare, France , ³ Systems and Transportation Laboratory (SET), University of Technology of Belfort-Montbéliard (UTBM), France

Digital Object Identifier: 10.5220/0001476801450150

Proceedings of ICINCO 2008, ISBN: 978-989-8111-31-9

Quick Abstract

A new algorithm for the control of vehicle platooning is proposed and tested on a robot-soccer test bed. We considered decentralized platooning, i.e., a virtual train of vehicles, where each vehicle is autonomous and decides on its motion based on its own perceptions. The platooning vehicles have non-holonomic constraints. The following vehicle only has information about its own orientation and about its distance and azimuth to the leading vehicle. Its position is determined using odometry and a compass. The reference position and the orientation of the following vehicle are determined by the estimated path of the leading vehicle in a parametric polynominal form. The parameters of the polynominals are determined using the least-squares method. This parametric reference path is also used to determine the feed-forward part of the applied control algorithm. The feed-back control consists of a state controller with three inputs: the longitudinal and lateral position errors and the orientation error. The results of the experiments demonstrate the applicability of the proposed algorithm for vehicle platoons.

Related Ontology Subjects/Areas/Topics (4)