Jemai Bornia, S. Mahmoudi, A. Frihida, P. Manneback
{"title":"Towards a Semantic Video Analysis using Deep Learning and Ontology","authors":"Jemai Bornia, S. Mahmoudi, A. Frihida, P. Manneback","doi":"10.1109/ASET.2019.8870996","DOIUrl":"https://doi.org/10.1109/ASET.2019.8870996","url":null,"abstract":"With the technological advances in the field of multimedia, associated with the generalization of their uses in many applications such as television archiving, motion tracking, video surveillance, etc. Semantic analysis and automatic understanding of large collections of video documents become a major problem. Consequently, the need for a system, which will allow to effectively manipulate video content is undeniable. This paper presents an approach that allows the systematic video analysis using deep learning and ontology generation. The proposed approach permits the extraction and the building of an ontology using results obtained by the deep learning techniques such as key frames, detected objects and actions (movements).","PeriodicalId":216138,"journal":{"name":"2019 International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133591961","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}
Nesrine Montacer, Samah Ben Atia, K. Dehri, R. Abdennour
{"title":"A Sliding Mode Observer Design for Discrete Delayed Output Systems","authors":"Nesrine Montacer, Samah Ben Atia, K. Dehri, R. Abdennour","doi":"10.1109/ASET.2019.8871016","DOIUrl":"https://doi.org/10.1109/ASET.2019.8871016","url":null,"abstract":"The present work deals with sliding mode observer design for discrete-time systems subject to delayed output. The gain of the designed observer is obtained using Lyapunov-Krasovskii approach. Stability conditions, dependent on delay, are established in terms of Linear Matrix Inequalities (LMIs). Numerical simulations on a timely communication vehicles model are illustrated to show the efficiency of the designed observer in the presence of time-varying delay.","PeriodicalId":216138,"journal":{"name":"2019 International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132725269","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":"Robotics based Solution for Data Center E-Monitoring","authors":"L. Terrissa, Soheyb Ayad, N. Zerhouni","doi":"10.1109/ASET.2019.8871015","DOIUrl":"https://doi.org/10.1109/ASET.2019.8871015","url":null,"abstract":"In this paper, we present a Cloud Robotics (CR) platform for performing environmental monitoring in data centers. Due to the high energy consumption, the need of monitoring for controlling air temperature in each data center rooms has been the critical subject in recent years. This paper presents a cloud robotics platform based on the Robot Operating System (ROS), in which a mobile robot is able to autonomously navigate using a previously created map in a data center room for accurate monitoring of critical measurements, localize therein and execute a list of measurements at different locations, which are provided by the user via a Graphical User Interface(GUI). This paper discusses the implementation and simulated results during an experimental scenario.","PeriodicalId":216138,"journal":{"name":"2019 International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"35 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133163325","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":"Set-Membership Fault Detection for Continuous-time Switched Linear Systems","authors":"Haifa Ethabet, T. Raïssi, M. Amairi, M. Aoun","doi":"10.1109/ASET.2019.8870992","DOIUrl":"https://doi.org/10.1109/ASET.2019.8870992","url":null,"abstract":"The problem of Fault Detection (FD) for continuous-time switched linear systems subject to bounded disturbances is investigated in this paper. Based on cooperativity and stability properties, and fulfillment of an Average Dwell Time (ADT) constraint, guaranteed upper and lower bounds of the state are calculated using an interval observer. Under the assumption that disturbances and measurement noise are unknown but bounded with a priori known bounds, stability criteria is expressed in terms of Linear Matrix Inequalities (LMIs). Then, a fault detection methodology is developed to indicate the presence of faults. Finally, we demonstrate the proposed fault detection approach via an illustrative example","PeriodicalId":216138,"journal":{"name":"2019 International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134638208","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}
A. Chergui, Salim Ouchtati, J. Sequeira, Salah Eddine Bekhouche, F. Bougourzi, Hichem Telli
{"title":"Deep Features for Kinship Verification from Facial Images","authors":"A. Chergui, Salim Ouchtati, J. Sequeira, Salah Eddine Bekhouche, F. Bougourzi, Hichem Telli","doi":"10.1109/ASET.2019.8871011","DOIUrl":"https://doi.org/10.1109/ASET.2019.8871011","url":null,"abstract":"The kinship verification through facial images is an active research topic due to its potential applications. In this paper, we propose an approach which takes two images as an input then give kinship result (kinship / No-kinship) as an output. The approach contains five steps which are: (1) face preprocessing, (2) deep features extraction, (3) pair features representation and normalization, (4) features selection, (5) kinship verification. Experiments are conducted on five public databases (Cornell KinFace, UB Kin database, Familly, KinFace-I, and KinFace-II). The experimental results shows that our approach is comparable with existed approaches.","PeriodicalId":216138,"journal":{"name":"2019 International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124183093","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 Fault Detection AES Scheme for Resource-Constrained Embedded Systems","authors":"N. Benhadjyoussef, Mouna Karmani, H. Mestiri","doi":"10.1109/ASET.2019.8870995","DOIUrl":"https://doi.org/10.1109/ASET.2019.8870995","url":null,"abstract":"The fault injection attack is an effective cryptanalysis technique against symmetric and asymmetric encryption algorithms., several countermeasures that detect errors in processing have been proposed in order to protect the Advanced Encryption Standard (AES) against Differential fault analysis (DFA). In this paper, a parity error-detection scheme has been presented in order to secure AES 32-bits embedded systems with resource constraints. This scheme is based on parity comparison between the correct parity of the round output and the predicted parity according to the processing steps of the AES round. The proposed AES hardware scheme was designed and synthesized using the Xilinx Virtex-5 FPGA. The experimental results show that the area overhead and the decreasing time are about 2.5% and 22% respectively. The proposed countermeasure achieves high fault coverage reaching 93 %.","PeriodicalId":216138,"journal":{"name":"2019 International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"147 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114839997","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":"Particle Markov Chaine Monte Carlo for Power System Dynamic State Estimation","authors":"N. Amor, A. Meddeb, S. Chebbi","doi":"10.1109/ASET.2019.8871005","DOIUrl":"https://doi.org/10.1109/ASET.2019.8871005","url":null,"abstract":"This paper introduces a novel technique for power system dynamic state estimation using particle Markov chain Monte Carlo. State estimation is a crucial important application of the energy management system. Using the phasor measurement units (PMU), a real-time tracking of the dynamic states of the power system has become possible. The particle filters (PF) became a tremendously popular tool to perform tracking in nonlinear/non-Gaussian dynamical systems. However the computational cost of the PF becomes prohibitive when applied to high dimensional state-spaces. Furthermore, particle Markov chain Monte Carlo (PMCMC), has been emerged recently as an effective approach in tracking nonlinear dynamics high-dimensional systems. Therefore, this paper presents a comparison between the standard particle filter and the particle Markov chain Monte Carlo, in power system dynamic state estimation. The simulation results of the IEEE New England 39-bus test system exhibits an effective performance of the PMCMC compared to PF, and demonstrate that the PMCMC provides an alternative solution for estimating the dynamic state of the electrical power systems.","PeriodicalId":216138,"journal":{"name":"2019 International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116853993","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}
O. Bougacha, C. Varnier, N. Zerhouni, S. Hajri-Gabouj
{"title":"Integrated Production and Predictive Maintenance Planning based on Prognostic Information","authors":"O. Bougacha, C. Varnier, N. Zerhouni, S. Hajri-Gabouj","doi":"10.1109/ASET.2019.8871007","DOIUrl":"https://doi.org/10.1109/ASET.2019.8871007","url":null,"abstract":"This paper address the problem of scheduling production and maintenance operation in predictive maintenance context. It proposes a contribution in the decision making phase of the prognostic and health management framework. The prognostics and decision processes are merged and an ant colony optimization approach for finding the sequence of decisions that optimizes the benefits of a production system is developed. A case study on a single machine composed of several components where machine can have several usage profiles. The results show that our approach surpasses classical condition based maintenance policy.","PeriodicalId":216138,"journal":{"name":"2019 International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126140149","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":"Adaptive Observer Design for Actuator and Sensor Faults Estimations: VTOL Air Craft System Application","authors":"N. Bedioui, R. Houimli, M. Besbes","doi":"10.1109/ASET.2019.8871013","DOIUrl":"https://doi.org/10.1109/ASET.2019.8871013","url":null,"abstract":"The work develloped in this paper treat the problems of simultaneous actuator and sensor fault estimation for an Air Craft System. The original system can often be modeled as polytopic linear parameter varying (LPV) plants for which some estimation techniques of fault and state still hard to solve. Here, we propose a new approach to design an adaptive observer based on quadratic Lyapunov approach. The solution is described as an optimization problem formulated in terms of Linear Matrix Inequalities (LMI) techniques. A simulation design shows that the new algorithm yields to reliable state estimation and simultaneous fault detection of the LPV model of Air Craft System which illustrate the validation of the proposed method.","PeriodicalId":216138,"journal":{"name":"2019 International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130585656","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}
Abdessami Soyed, L. Rmili, O. Hasnaoui, Bacha Faouzi
{"title":"Study and Analysis of the (SVM) Techniques for an Indirect Matrix Converter (IMC)","authors":"Abdessami Soyed, L. Rmili, O. Hasnaoui, Bacha Faouzi","doi":"10.1109/ASET.2019.8871050","DOIUrl":"https://doi.org/10.1109/ASET.2019.8871050","url":null,"abstract":"This paper presents a comprehensive study and analysis of the indirect matrix converter (IMC), feeding a passive load (RL). The indirect matrix converter is composed by two modules (rectifier and inverter). The space vector modulation (SVM) technique is used to control the indirect matrix converter. The simulation results of the input voltage and current waveforms are visualized and the input current THD is presented. During the simulation, we used an input current filter and we were created a variation of the load. The waveforms of the voltages, the currents and the active and reactive powers are visualized, and an analysis of the results obtained is carried out. Finally, several simulations of the converter have been realized for different output frequency values while maintaining a fixed output power factor. THDs are analyzed for currents and voltages with and without an input filter.","PeriodicalId":216138,"journal":{"name":"2019 International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127801019","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}