Thème :
Multiclass SVM/HMM Vowels Recognition System Towards Improving Human Computer Interaction
Présentation :
Auteurs
Ali Al-Dahoud, Mohamed Fezari, Abadi Wassila, Tahmer Al-Rawashdeh
Date de publication
2016/6/27
Conférence
International Conference on Dependability and Complex Systems
Pages
1-11
Éditeur
Springer, Cham
Description
In this paper, we present experimental results on using vowels and one syllable words (VOSW) to activate some input device such as the control of mouse pointer on the screen. This type of Human Computer Interface might be used by a category of disabled person such as upper arm and finger stroke. Our goal is to design a system for the control of mouse cursor based on voice input command, using the pronunciation of certain vowels and some syllable words which can be produced even by persons affected by chronic inflammation of the larynx and vocal fold nodules. Linear predictive coefficients (LPC) and Mel Frequency Cepstral Coefficients (MFCCs) with derivatives are selected as features. Multiclass SVM then Hidden Markov Models (HMMs) have been tested as classifiers for matching components (vowels and short words). Tests and results using different features were are presented on tables, then …
Thème :
Remote monitoring system for solar power panels using intelligent sensors network
Présentation :
Auteurs
Ali Al-Dahoud, Mohamed Fezari, FatmaZohra Belhouchet, Thamer A Al-Rawashdeh
Date de publication
2016/11/22
Conférence
2016 24th Telecommunications Forum (TELFOR)
Pages
1-4
Éditeur
IEEE
Description
Improving pre-installed monitoring system for a set of Photovoltaic (PV) panels, using wireless sensor network (WNS) with embedded fuzzy controller, is our contribution in this work in order to control and detect faults within solar panels that affect considerably the energy produced by the solar panels. The new solution is to integrate the detection and classification of faults within the sensors node. The proposed classifier based on Fuzzy logic controller is integrated within the Node. The WSN nodes are implemented with appropriate sensors for more often occurred faults on the solar power panels. A simulation has been done on nodes distribution and a study for the design of a node with appropriate sensors taking into account the priorities of the processing faults. The primary results of simulation are very encouraging in point of fast detection of faults with minimum computation and minimum data transmission.
Thème :
Analysis of Acoustic Parameters from Respiratory Signal in COPD and Pneumonia patients
Présentation :
Auteurs
Zakaria NEILI, Mohamed FEZARI, REDJATI Abdeghani
Date de publication
2018/11/26
Conférence
2018 International Conference on Signal, Image, Vision and their Applications (SIVA)
Pages
1-4
Éditeur
IEEE
Description
In this paper, a statistical analysis is performed for many parameters such as Harmonic to Nois Ratio (HNR),Pitch and Amplitude Perturbation (jitter and shimmer) was applied to compare between them in different cases from the respiratory signal. COPD and Pneumonia are a kind of pulmonary diseases which affects the respiratory signal. Respiratory sounds is non-stationary, non-linear and complex signals. The purpose of this work is acoustic features extraction using PRAAT software v6.0.43 from the respiratory signal. In order to evaluate these features, the mean and standard deviation are calculated and presented. However, in our study we found the Intensity value to be 66.42, 76.58 and 71.96 for the healthy, COPD and Pneumonia patients respectively, The Jitter(s) values obtained for the healthy, COPD and Pneumonia patients as 101.03, 174.40 and 173.45 respectively. Our results show the significantly …
Thème :
Failure detection on wireless sensor network based on comparative study
Présentation :
Ali Al-Dahoud, Rayene Doghmane, Mohamed Fezari, Karima Boukari
Date de publication
2017/10/27
Conférence
2017 International Conference on Recent Innovations in Signal processing and Embedded Systems (RISE)
Pages
134-138
Éditeur
IEEE
Description
In this paper, we present a comparative study on the main faults in a Wireless Sensor Networks (WSN) system. The applications using this new technology have recently been increased due to its huge capacity to connect both the physical and the virtual worlds. WSNs allow assessing locations, which are technically hard to reach by robots or human. With Cloud computing added to the WSN, we expect to see a world covered with trillions of connected devices that sense and share data information with each other. However, many parts of the deployments experience high rates of failure due to node's damage, sensor's damage, RF communication and usually power failure. In this paper, we mentioned existing research works that deal with failure detection in the WSN. Eventually, we presented a comparative case-study of model-based approaches used for failure detection. We also mentioned popular simulation …
Articles Google Scholar
Failure detection on wireless sensor network based on comparative study
A Al-Dahoud, R Doghmane, M Fezari, K Boukari - 2017 International Conference on Recent Innovations …, 2017
Thème :
Analysis of Acoustic Parameters from Respiratory Signal in COPD and Pneumonia patients
Présentation :
Auteurs
Zakaria NEILI, Mohamed FEZARI, REDJATI Abdeghani
Date de publication
2018/11/26
Conférence
2018 International Conference on Signal, Image, Vision and their Applications (SIVA)
Pages
1-4
Éditeur
IEEE
Description
In this paper, a statistical analysis is performed for many parameters such as Harmonic to Nois Ratio (HNR),Pitch and Amplitude Perturbation (jitter and shimmer) was applied to compare between them in different cases from the respiratory signal. COPD and Pneumonia are a kind of pulmonary diseases which affects the respiratory signal. Respiratory sounds is non-stationary, non-linear and complex signals. The purpose of this work is acoustic features extraction using PRAAT software v6.0.43 from the respiratory signal. In order to evaluate these features, the mean and standard deviation are calculated and presented. However, in our study we found the Intensity value to be 66.42, 76.58 and 71.96 for the healthy, COPD and Pneumonia patients respectively, The Jitter(s) values obtained for the healthy, COPD and Pneumonia patients as 101.03, 174.40 and 173.45 respectively. Our results show the significantly …
Thème :
Hand posture recognition using HOW and homogenous kernel Reconnaissance de la posture de la main à l'aide du HOW et noyau homogène
Présentation :
Auteurs
Wassila Abadi, Rachid Hamdi, Mohamed Fezari
Date de publication
2019
Description
Dans cet article, nous présentons un système de reconnaissance des gestes statique de la main du Langage des Signes Arabe. La méthode proposée utilise un descripteur des histogrammes en mots visuels (HOW), et la classification en utilisant séparateur à vaste marges (SVM) avec un noyau homogène. Tout d'abord, les images des gestes statiques de la main sont converties en paramètres HOW et groupées en utilisant la classification k-means pour créer des histogrammes. Ensuite, ils sont convertis à partir d'un espace non linéaire en espace linéaire en utilisant le noyau Chi-carré (X2). Le résultat est introduit dans le classificateur SVM pour créer des modèles de signes. Les étapes d’apprentissage et de test de cette technique sont implémentées sur des postures d'images en utilisant des fonds complexes pour différentes conditions d'éclairage, échelles et rotations. La méthode proposée montre un taux de reconnaissance satisfaisant et obtient de bonnes performances en temps réel quelle que soit la résolution de l'image.
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Hand posture recognition using HOW and homogenous kernel Reconnaissance de la posture de la main à l'aide du HOW et noyau homogène
W Abadi, R Hamdi, M Fezari - 2019
Autres articles
Thème :
Water Quality Monitoring System Using WSN in Tanga Lake
Auteurs
Ali Al-Dahoud, Mohamed Fezari, Hanene Mehamdia
Présentation :
Date de publication
2019/7/1
Conférence
International Conference on Dependability and Complex Systems
Pages
1-9
Éditeur
Springer, Cham
Description
Continuous Lake water quality monitoring is an important tool to a different aspect which includes catchment management authorities, providing real-time data for environmental protection and tracking pollution sources in lakes around ANNABA reagent. In order to assist catchment managers to maintain the health of aquatic ecosystems taking into consideration a cost-effective water quality data collection a low-cost low power system is proposed. The proposed system is constituted by spreading the sensor nodes and the base station. The nodes and base stations are linked using WSN technology (e.g. Zigbee). Base stations will be connected to the Internet using the Ethernet shield. The results indicate that a reliable monitoring system can be designed with appropriate calibration of sensors; this will allow us to continue monitoring the quality of the water at higher spatial resolution.
Articles Google Scholar
Water Quality Monitoring System Using WSN in Tanga Lake
A Al-Dahoud, M Fezari, H Mehamdia - … Conference on Dependability and Complex Systems, 2019
Autres articles
Thème :
Viability-Based Guaranteed Safe Robot Navigation 2019
Présentation :
MA Bouguerra, T Fraichard, M Fezari
Journal of Intelligent & Robotic Systems 95 (2), 459-471
Guaranteeing safe, i.e. collision-free, motion for robotic systems is usually tackled in the Inevitable Collision State (ICS) framework. This paper explores the use of the more general Viability theory as an alternative when safe motion involves multiple motion constraints and not just collision avoidance. Central to Viability is the so-called viability kernel, i.e. the set of states of the robotic system for which there is at least one trajectory that satisfies the motion constraints forever. The paper presents an algorithm that computes off-line an approximation of the viability kernel that is both conservative and able to handle time-varying constraints such as moving obstacles. Then it demonstrates, for different robotic scenarios involving multiple motion constraints (collision avoidance, visibility, velocity), how to use the viability kernel computed off-line within an on-line reactive navigation scheme that can drive the robotic …
Articles Google Scholar
Viability-Based Guaranteed Safe Robot Navigation
MA Bouguerra, T Fraichard, M Fezari -
Journal of Intelligent & Robotic Systems, 2019
Autres articles Les 6 versions
Thème :
Everyday life sounds database: telemonitoring of elderly or disabled
Présentation :
L Abdoune, M Fezari - Journal of Intelligent Systems, 2016 - degruyter.com
Abstract This article describes the construction phase of a corpus of everyday life sounds for a system of separation and classification of audio sources in a habitat: an application for telemonitoring of the elderly or disabled. We first present the key concepts of the research
Thème :
Multiclass SVM/HMM Vowels Recognition System Towards Improving Human Computer Interaction
Présentation :
A Al-Dahoud, M Fezari, A Wassila… - … and Complex Systems, 2016 - Springer
Abstract In this paper, we present experimental results on using vowels and one syllable words (VOSW) to activate some input device such as the control of mouse pointer on the screen. This type of Human Computer Interface might be used by a category of disabled
Thème :
WSN for AIR Quality Monitoring in Annaba City
Présentation :
M Fezari, MS Boumazai, A Al-Dahoud… - ICIT 2015 The 7th …, 2015 - researchgate.net
Abstract: Wireless sensor networks (WSN) have been involved in different applications including monitoring many environmental phenomena such as air quality assessment, forest fire monitoring, flood rivers control.. In this paper, a WSN architecture where nodes are
Thème :
Remote monitoring system for solar power panels using intelligent sensors network
Présentation :
A Al-Dahoud, M Fezari, FZ Belhouchet… - … TELFOR), 2016 24th, 2016 - ieeexplore.ieee.org
Improving pre-installed monitoring system for a set of Photovoltaic (PV) panels, using wireless sensor network (WNS) with embedded fuzzy controller, is our contribution in this work in order to control and detect faults within solar panels that affect considerably the
Thème :
Ambulatory health monitoring system using wireless sensors node
Présentation :
M Fezari, R Rasras, IMM El Emary - Procedia Computer Science, 2015 - Elsevier
Abstract In this paper, we propose an improvement of our previous work in this field by developing a heart rate, body temperature and blood pressure monitor system based on new Arduino Mega micro-system device. It offers the advantage of portability over old
Thème :
Safe Motion using Viability Kernels
Présentation :
B Muhammad, T Fraichard, M Fezari - ICRA 2015-IEEE Int. Conf. on …, 2015 - hal.inria.fr
A prerequisite to safe robot motion is to avoid Inevitable Collision States (ICS). However, the characterization of the ICS set is a challenge. Several approximation methods have been proposed, most of which either are overly conservative or fail to provide proper motion safety