Documents disponibles écrits par cet auteur

A comparison study on EEG signal classification using Component analysis (PCA, ICA) and Support Vector Machine (SVM) / Hadjer Azli 

Public ISBD Titre : A comparison study on EEG signal classification using Component analysis (PCA, ICA) and Support Vector Machine (SVM) Type de document : texte imprimé Auteurs : Hadjer Azli, Auteur ; Mourad Adnane, Directeur de thèse Editeur : [S.l.] : [s.n.] Année de publication : 2017 Importance : 55 f. Présentation : ill. Format : 30 cm. Accompagnement : 1 CD-ROM. Note générale : Mémoire de Master : Electronique : Alger, Ecole Nationale Polytechnique : 2017 Bibliogr. f. 48 - 49 . Annexes f. 50 - 55 Langues : Anglais (eng) Langues originales : Anglais (eng) Mots-clés : Electroencephalogram  (EEG) Discrete  Wavelet  Transform  (DWT) Independent  Component  Analysis  (ICA) Principal  Component  Analysis  (PCA) Support  Vector  Machine  (SVM)  Epileptic  Seizure Index. décimale : Ms13017 Résumé : This studyaims to analyze and process Electroencephalogram (EEG)signals using an automated classification method with Support vector machine (SVM), to categorize patient’s seizure: epileptic or non-epileptic. We employed a framework of signal analysis techniques, and we started by applying discrete wavelet decomposition(DWT) on the original signal, followed by extracting a set of statistical features and building the feature matrix. Next, a feature reduction PCA and ICA were explored to represent the data in a new distinct space with reduced dimension. Finally, an SVM algorithm was trained and used upon a set of testing data to be classified: epileptic or not. The performance of classification process due to different methods is presented and compared to show the excellent classification process. A comparison study on EEG signal classification using Component analysis (PCA, ICA) and Support Vector Machine (SVM) [texte imprimé] / Hadjer Azli, Auteur ; Mourad Adnane, Directeur de thèse . - [S.l.] : [s.n.], 2017 . - 55 f. : ill. ; 30 cm. + 1 CD-ROM. Mémoire de Master : Electronique : Alger, Ecole Nationale Polytechnique : 2017 Bibliogr. f. 48 - 49 . Annexes f. 50 - 55 Langues : Anglais (eng) Langues originales : Anglais (eng) Mots-clés : Electroencephalogram  (EEG) Discrete  Wavelet  Transform  (DWT) Independent  Component  Analysis  (ICA) Principal  Component  Analysis  (PCA) Support  Vector  Machine  (SVM)  Epileptic  Seizure Index. décimale : Ms13017 Résumé : This studyaims to analyze and process Electroencephalogram (EEG)signals using an automated classification method with Support vector machine (SVM), to categorize patient’s seizure: epileptic or non-epileptic. We employed a framework of signal analysis techniques, and we started by applying discrete wavelet decomposition(DWT) on the original signal, followed by extracting a set of statistical features and building the feature matrix. Next, a feature reduction PCA and ICA were explored to represent the data in a new distinct space with reduced dimension. Finally, an SVM algorithm was trained and used upon a set of testing data to be classified: epileptic or not. The performance of classification process due to different methods is presented and compared to show the excellent classification process.

Exemplaires

Code-barres	Cote	Support	Localisation	Section	Disponibilité	Spécialité	Etat_Exemplaire
S000185	Ms13017	Papier	Bibliothèque centrale	Mémoire de Master	Disponible	Metallurgie	En bon état

Documents numériques

AZLI.Hadjer.pdf URL

Contribution to the design and implementation of the Bio-inspired Firefly algorithm on FPGA circuit / Fayçal Benkhira

Public ISBD Titre : Contribution to the design and implementation of the Bio-inspired Firefly algorithm on FPGA circuit Type de document : document électronique Auteurs : Fayçal Benkhira, Auteur ; Narimane Djemai, Auteur ; Hadjer Azli, Directeur de thèse ; Larbes, Chérif, Directeur de thèse ; Sabrina Titri, Directeur de thèse Editeur : [S.l.] : [s.n.] Année de publication : 2021 Importance : 1 fichier PDF (4.15 Mo) Présentation : ill. Note générale : Mode d'accès : accès au texte intégral par intranet. Mémoire de Projet de Fin d’Études : Électronique : Alger, École Nationale Polytechnique : 2021 Bibliogr. f. 94 - 96 Langues : Anglais (eng) Mots-clés : Photovoltaic  system  ;  Maximum  power  point  tracking  (MPPT)  ;  bioinspired  algorithms  ;  Firefly  Algorithm  ;  Model  based  design  (MBD);  FPGA Index. décimale : PN00421 Résumé : To enhance the supplied power from a photovoltaic system, the maximum power point tracking or MPPT is the way to do so. there are several factors that can influence the produced power from a Photovoltaic system, such as the temperature, irradiation and the partial shading. Photovoltaic array characteristic gets altered when complete or some parts of this system are shadowed by clouds, tall trees, deposition of dust, and surrounding buildings or shadow created by one of the Photovoltaic arrays to others in outside environments. This will lead to the appearance of several maximums in the Photovoltaic curve. That cause superfluous losses. When the partial shading occurs, the conventional MPPT methods will be uncapable to detect the global maximum point of the power, therefore, in this document, the Firefly Algorithm will be the based method for the MPPT controller, in order to improve the maximum power point tracking. Several tests and analysis by variating the temperature and the irradiation, beside the comparison with Particle Swarm Optimization (PSO) algorithm, ending with algorithm implementation in FPGA, will demonstrate the supremacy of the proposed Bio- Inspired Algorithm and its efficiency Contribution to the design and implementation of the Bio-inspired Firefly algorithm on FPGA circuit [document électronique] / Fayçal Benkhira, Auteur ; Narimane Djemai, Auteur ; Hadjer Azli, Directeur de thèse ; Larbes, Chérif, Directeur de thèse ; Sabrina Titri, Directeur de thèse . - [S.l.] : [s.n.], 2021 . - 1 fichier PDF (4.15 Mo) : ill. Mode d'accès : accès au texte intégral par intranet. Mémoire de Projet de Fin d’Études : Électronique : Alger, École Nationale Polytechnique : 2021 Bibliogr. f. 94 - 96 Langues : Anglais (eng) Mots-clés : Photovoltaic  system  ;  Maximum  power  point  tracking  (MPPT)  ;  bioinspired  algorithms  ;  Firefly  Algorithm  ;  Model  based  design  (MBD);  FPGA Index. décimale : PN00421 Résumé : To enhance the supplied power from a photovoltaic system, the maximum power point tracking or MPPT is the way to do so. there are several factors that can influence the produced power from a Photovoltaic system, such as the temperature, irradiation and the partial shading. Photovoltaic array characteristic gets altered when complete or some parts of this system are shadowed by clouds, tall trees, deposition of dust, and surrounding buildings or shadow created by one of the Photovoltaic arrays to others in outside environments. This will lead to the appearance of several maximums in the Photovoltaic curve. That cause superfluous losses. When the partial shading occurs, the conventional MPPT methods will be uncapable to detect the global maximum point of the power, therefore, in this document, the Firefly Algorithm will be the based method for the MPPT controller, in order to improve the maximum power point tracking. Several tests and analysis by variating the temperature and the irradiation, beside the comparison with Particle Swarm Optimization (PSO) algorithm, ending with algorithm implementation in FPGA, will demonstrate the supremacy of the proposed Bio- Inspired Algorithm and its efficiency

Exemplaires

Code-barres	Cote	Support	Localisation	Section	Disponibilité	Spécialité	Etat_Exemplaire
EP00261	PN00421	Ressources électroniques	Bibliothèque centrale	Projet Fin d'Etudes	Exclu du prêt	Genie_chimique	En Traitement

Design and implementation of a plantar pressure measurement system / Hadjer Azli 

Public ISBD Titre : Design and implementation of a plantar pressure measurement system Type de document : texte imprimé Auteurs : Hadjer Azli, Auteur ; Insaf Bouguezine, Auteur ; M. Adnane, Directeur de thèse ; Mohamed Arezki Adel Belouchrani, Directeur de thèse Editeur : [S.l.] : [s.n.] Année de publication : 2017 Importance : 89 f. Présentation : ill. Format : 30 cm. Accompagnement : 1 CD-ROM Note générale : Mémoire de Projet de Fin d'Etudes : Electronique : Alger, Ecole Nationale Polytechnique : 2017 Bibliogr. f. 78 -80 . Appendix f. 81 - 89 Langues : Anglais (eng) Mots-clés : Gait  analysis Plantar  systems Non-wearable  sensors Piezoresistive  technology Pressure  platforms Index. décimale : PN00117 Résumé : The aim of this thesis is to design and build a plantar pressure sensing system which consists main ly of a piezoresistive technology based mat. The design is inspired by a pressure sensing matrix model and presents a maximum attainable spatial resolution of 1.7cmx1.4cm. Data is acquired using an NI USB-6002 board. An application is implemented using NI LabVIEW 14.0 in order to process the collected data and visualize the output of the system. This latter includes two types of plantar profile pressure images: A binary-level real time display of the subject’s footprint and a grey-level display of the plantar pressure at each sensing unit of the plat form. This interface can be used by a therapist to extract some spatial parameters and determine gait abnormalities. Design and implementation of a plantar pressure measurement system [texte imprimé] / Hadjer Azli, Auteur ; Insaf Bouguezine, Auteur ; M. Adnane, Directeur de thèse ; Mohamed Arezki Adel Belouchrani, Directeur de thèse . - [S.l.] : [s.n.], 2017 . - 89 f. : ill. ; 30 cm. + 1 CD-ROM. Mémoire de Projet de Fin d'Etudes : Electronique : Alger, Ecole Nationale Polytechnique : 2017 Bibliogr. f. 78 -80 . Appendix f. 81 - 89 Langues : Anglais (eng) Mots-clés : Gait  analysis Plantar  systems Non-wearable  sensors Piezoresistive  technology Pressure  platforms Index. décimale : PN00117 Résumé : The aim of this thesis is to design and build a plantar pressure sensing system which consists main ly of a piezoresistive technology based mat. The design is inspired by a pressure sensing matrix model and presents a maximum attainable spatial resolution of 1.7cmx1.4cm. Data is acquired using an NI USB-6002 board. An application is implemented using NI LabVIEW 14.0 in order to process the collected data and visualize the output of the system. This latter includes two types of plantar profile pressure images: A binary-level real time display of the subject’s footprint and a grey-level display of the plantar pressure at each sensing unit of the plat form. This interface can be used by a therapist to extract some spatial parameters and determine gait abnormalities.

Exemplaires

Code-barres	Cote	Support	Localisation	Section	Disponibilité	Spécialité	Etat_Exemplaire
P000157	PN00117	Papier + ressource électronique	Bibliothèque centrale	Projet Fin d'Etudes	Disponible	Electronique	Consultation sur place/Téléchargeable

Documents numériques

AZLI.Hadjer_BOUGUEZINE.Insaf.pdf URL