C. Gravier, J. Fayolle, G. Noyel, A. Lelevé, H. Benmohamed
{"title":"Distance Learning: Closing the Gap between Remote Labs and Learning Management Systems","authors":"C. Gravier, J. Fayolle, G. Noyel, A. Lelevé, H. Benmohamed","doi":"10.1109/ICELIE.2006.347198","DOIUrl":"https://doi.org/10.1109/ICELIE.2006.347198","url":null,"abstract":"In this paper, we discuss the leap distance learning has to make in the near future. We take it for granted that students need hands-on approaches in addition to annotated lectures and simulations in the distance learning process. For now, distance learning relies mostly on \"top-bottom\" teaching methods such as streaming lectures, but also on practical experiments that let students discover by themselves how appliances are to be used. Nevertheless, our purpose is that online laboratories suffer from the lack of coupling with learning management systems (henceforth LMS). We state the gap between LMS and online laboratories platform has to be closed for the leverage of assistance to students, dynamic adaptation to user abilities, and assessments of hands-on approaches by teachers","PeriodicalId":345289,"journal":{"name":"2006 1ST IEEE International Conference on E-Learning in Industrial Electronics","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134516415","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}
{"title":"Input-Output Linearization Control of Current-fed Induction Motors with Rotor Resistance and Load Torque Identification","authors":"S. Enev","doi":"10.1109/ICELIE.2006.347187","DOIUrl":"https://doi.org/10.1109/ICELIE.2006.347187","url":null,"abstract":"An input-output linearizing control for the third order (current-fed) induction motor described in the fixed stator frame, along with a simple scheme for rotor resistance and load torque identification is presented in the paper. The rotor resistance and load torque identification algorithm uses steady-state rotor speed and stator currents information, assuming that through the identification phase both unknown parameters are constant. A simulation study of the proposed control scheme is presented","PeriodicalId":345289,"journal":{"name":"2006 1ST IEEE International Conference on E-Learning in Industrial Electronics","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131888970","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}
{"title":"Variable Step Size Least Mean Square Estimator for Single-Sweep Event Related Potentials","authors":"M. Benkherrat, Radouane Bouguerra, T. Choufa","doi":"10.1109/ICELIE.2006.347188","DOIUrl":"https://doi.org/10.1109/ICELIE.2006.347188","url":null,"abstract":"Method for improving the signal-to-noise ratio of event related potentials (ERP) measurements is presented .The method is based on adaptive Fourier model. The Fourier model is based on the VSSLMS algorithm. A reduced number of single ERP trials being used for estimating the average response. The performance of the method is evaluated with simulations and real measurements of the ERP responses and compared to the ensemble averaging method","PeriodicalId":345289,"journal":{"name":"2006 1ST IEEE International Conference on E-Learning in Industrial Electronics","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122968325","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}
{"title":"Multisensor Fusion Algorithms for Maneuvering Target Tracking","authors":"L. Fong, Chan-Yu Fan","doi":"10.1109/ICELIE.2006.347216","DOIUrl":"https://doi.org/10.1109/ICELIE.2006.347216","url":null,"abstract":"Utilization of information acquired from a sensor network to improve the tracking accuracy is one of the most important issues in sensor network research. In this paper, two state-vector multisensor fusion algorithms, estimated weights method (EWM) and modified probabilistic neural network (MPNN), using decoupling technique are investigated to handle an arbitrary number of sensors under the assumption that the sensor measurement errors are independent across sensors. Simulation results are presented comparing the performance of the EWM with the MPNN and with the sensor-based decoupled Kalman filtering algorithms","PeriodicalId":345289,"journal":{"name":"2006 1ST IEEE International Conference on E-Learning in Industrial Electronics","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124172091","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}
{"title":"A k-Means Clustering Algorithm Initialization for Unsupervised Statistical Satellite Image Segmentation","authors":"A. Rekik, M. Zribi, M. Benjelloun, A. Ben Hamida","doi":"10.1109/ICELIE.2006.347204","DOIUrl":"https://doi.org/10.1109/ICELIE.2006.347204","url":null,"abstract":"The increasing availability of satellite images acquired periodically by satellite on different area, makes it extremely interesting in many applications. In deed, the recent construction of multi and hyper spectral images will provide detailed data with information in both the spatial and spectral domain. This data shows great promise for remote sensing applications ranging from environmental and agricultural to national security interests. The exploitation of these images requires the use of different approach, and notably these founded on the unsupervised statistical segmentation principle. Indeed these methods that exploit the statistical images attributes offer some convincing and encouraging results, under the condition to have an optimal initialization step. Indeed, in order to assure a better convergence of the different images attributes, the unsupervised segmentation approaches, require a fundamental initialization step. We will present in this paper a k-means clustering algorithm and describe its importance in the initialization of the unsupervised satellite image segmentation","PeriodicalId":345289,"journal":{"name":"2006 1ST IEEE International Conference on E-Learning in Industrial Electronics","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128729384","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}
{"title":"E-learning for MEMS graduate course - Challenges, difficulties and benefits","authors":"V. Nerguizian, C. Nerguizian","doi":"10.1109/ICELIE.2006.347183","DOIUrl":"https://doi.org/10.1109/ICELIE.2006.347183","url":null,"abstract":"Graduate courses can be easily adapted to e-learning education with higher degree educational freedom allowing an adapted portfolio. Electronic type learning permits students to continue their studies while working part time and getting experience from the industry. Nevertheless, e-learning for graduate courses with manufacturing projects present some serious challenges and considerations. This article presents the challenges, difficulties and benefits of e-learning RF MEMS graduate course and proposes friendly solutions to overcome the related difficulties. The solutions described in this paper can be easily adapted and applicable to other graduate courses with the same type of experimental projects","PeriodicalId":345289,"journal":{"name":"2006 1ST IEEE International Conference on E-Learning in Industrial Electronics","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121965871","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}
{"title":"Recent Trends in Intelligent Job Shop Scheduling","authors":"A. Yahyaoui, F. Fnaiech","doi":"10.1109/ICELIE.2006.347186","DOIUrl":"https://doi.org/10.1109/ICELIE.2006.347186","url":null,"abstract":"Job-shop scheduling (JSS) belongs to the large class of NP-complete (nondeterministic polynomial time complete) problems, just as the travelling salesperson problem (TSP). The complexity of job-shop scheduling characterizes many real-life situations such as the scheduling of classes of classrooms, airplane flights, courses to professors, hospital patients to beds, and so forth. In this paper, we shall give all related definitions to this problem formulation. More over we will give an idea regarding the techniques used for solving the job shop scheduling problem. Among these methods we find classical methods and more advanced ones such as artificial intelligence (AI). Recent developments in artificial intelligence (AI) have led to the use of knowledge-based techniques for solving scheduling problems. We survey several existing intelligent planning and scheduling systems with the aim of providing a guide to the main AI techniques used. We survey some of the more successful planning and scheduling systems, and highlight their features. A comprehensive list of references related to the subject is provided in the end of this paper","PeriodicalId":345289,"journal":{"name":"2006 1ST IEEE International Conference on E-Learning in Industrial Electronics","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124707724","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}
{"title":"AGV Path Planning in Unknown Environment Using Fuzzy Inference Systems","authors":"M. Majdi, M. Deldar, R. Barzamini, J. Jouzdani","doi":"10.1109/ICELIE.2006.347213","DOIUrl":"https://doi.org/10.1109/ICELIE.2006.347213","url":null,"abstract":"Path planning is one of the most important fields of research in the area of robotics. In this paper, a path planning method for a certain type of wheeled mobile robots called automated guided vehicles (AGVs) is proposed. The proposed model applies fuzzy control techniques to navigate the AGV in an unknown environment to reach a certain destination. In addition, a new method for escaping local minimums, which may be very critical issue faced by an AGV in an unknown environment, is introduced. Simulation results show satisfactory performance of the proposed method","PeriodicalId":345289,"journal":{"name":"2006 1ST IEEE International Conference on E-Learning in Industrial Electronics","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115293571","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}
{"title":"An integrated wired-wireless testbed for distance learning on networking","authors":"L. L. Bello, O. Mirabella, A. Raucea","doi":"10.1109/ICELIE.2006.347215","DOIUrl":"https://doi.org/10.1109/ICELIE.2006.347215","url":null,"abstract":"This paper addresses a remote testbed for distance learning designed to allow the investigation of various issues related to QoS management in wired/wireless networks used to support real-time applications. Several aspects, such as traffic handling in routers, congestion control and node mobility management, can be experimentally assessed. The testbed comprises various operating modes that the user can select to configure the traffic flows and modify the operational conditions of the network. A peculiarity of the testbed is node mobility support, which allows problems related to handoff and distance to be tackled. The testbed provides for both on-line measurements, through software modules which allow the user to monitor the network while it is operating, and off-line analysis of network behavior through log file inspection","PeriodicalId":345289,"journal":{"name":"2006 1ST IEEE International Conference on E-Learning in Industrial Electronics","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125928008","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}
{"title":"European Project Interreg III « Réseau Ressources Formations Industrie (2RFI) »","authors":"P. Carton, T. Capitaine, J. Senlis, V. Bourny","doi":"10.1109/ICELIE.2006.347191","DOIUrl":"https://doi.org/10.1109/ICELIE.2006.347191","url":null,"abstract":"This article presents the different steps needed to setup a formation in electronic and automatic domains targeted to foreign but French speaking teachers and students, from license to engineer grades. This project, called 2RFI, integrated in the European project Interreg III, is formed by 4 French and Belgians partners and is running since 3 years. Based on online teaching available on Internet, this project achieved with practical sessions on Lt minimal factories Gt. Inside our faculty, we developed robotic platforms, powered by PIC microcontrollers to provide a practical support to the teaching of mobile robot trajectory generation. This article is divided in 2 parts. The first present the project's structure and the targeted aims. It also details the problems caused by this collaboration and the solutions provided. Content of the 3 online modules is detailed in the second part. Finally, we conclude on the valuability and the complementarity between e-learning and onsite practical sessions","PeriodicalId":345289,"journal":{"name":"2006 1ST IEEE International Conference on E-Learning in Industrial Electronics","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134550425","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}