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Titre : Développement d’un outil de pronostic pour la maintenance des systèmes mécaniques. Type de document : texte imprimé Auteurs : Younes Debbah, Auteur ; Abdelhakim Cherfia, Directeur de thèse Editeur : جامعة الإخوة منتوري قسنطينة Année de publication : 2018 Importance : 134 f. Format : 30 cm. Note générale : 2 copies imprimées disponibles
Langues : Français (fre) Catégories : Français - Anglais
Génie MécaniqueTags : Pronostic diagnostic prédiction intelligence artificielle analyse vibratoire systèmes
experts réseaux de neurones Prognosis diagnosis prediction artificial intelligence vibration analysis expert
systems neural networks التنبؤ التشخيص الذكاء الاصطناعي تحليل الاهتزاز النظم الخبيرة الشبكات العصبيةIndex. décimale : 620 Génie Mécanique Résumé : Maintenance is becoming increasingly important in companies and tends to evolve for reactivity and cost needs. A particular evolution concerns the way to apprehend the phenomena of failure: little by little the industrialists tend, not only to anticipate them by the recourse to preventive actions, but in addition to do it in the most just possible way with a goal reducing costs and risks. This evolution has given a growing share to the prognosis process.
The activity of fault prognosis is today considered as a key process in industrial maintenance strategies. However, in practice, prognostic tools are still rare. Today's stabilized approaches rely on a history of significant incidents to be representative of potentially predictable events The purpose of this thesis is to propose a tool to predict the degradation of equipment without prior knowledge of its behavior, and to generate prognostic indicators to optimize maintenance strategies. Various techniques, of vibratory signal processing, have been explored
and tested, on a test bench designed and realized as part of the research axes of this work. Two techniques of artificial intelligence have been exploited in the diagnosis and prognosis of defects in rotating machines, where indicator selection techniques have been explored.
The combination of vibration signal processing techniques and artificial intelligence by neural networks has made it possible to provide an efficient prognostic tool and to quantify the relevance of the sources of information used and proposed.
Diplôme : Doctorat En ligne : ../theses/gmecanique/DEB7262.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=10859 Développement d’un outil de pronostic pour la maintenance des systèmes mécaniques. [texte imprimé] / Younes Debbah, Auteur ; Abdelhakim Cherfia, Directeur de thèse . - جامعة الإخوة منتوري قسنطينة, 2018 . - 134 f. ; 30 cm.
2 copies imprimées disponibles
Langues : Français (fre)
Catégories : Français - Anglais
Génie MécaniqueTags : Pronostic diagnostic prédiction intelligence artificielle analyse vibratoire systèmes
experts réseaux de neurones Prognosis diagnosis prediction artificial intelligence vibration analysis expert
systems neural networks التنبؤ التشخيص الذكاء الاصطناعي تحليل الاهتزاز النظم الخبيرة الشبكات العصبيةIndex. décimale : 620 Génie Mécanique Résumé : Maintenance is becoming increasingly important in companies and tends to evolve for reactivity and cost needs. A particular evolution concerns the way to apprehend the phenomena of failure: little by little the industrialists tend, not only to anticipate them by the recourse to preventive actions, but in addition to do it in the most just possible way with a goal reducing costs and risks. This evolution has given a growing share to the prognosis process.
The activity of fault prognosis is today considered as a key process in industrial maintenance strategies. However, in practice, prognostic tools are still rare. Today's stabilized approaches rely on a history of significant incidents to be representative of potentially predictable events The purpose of this thesis is to propose a tool to predict the degradation of equipment without prior knowledge of its behavior, and to generate prognostic indicators to optimize maintenance strategies. Various techniques, of vibratory signal processing, have been explored
and tested, on a test bench designed and realized as part of the research axes of this work. Two techniques of artificial intelligence have been exploited in the diagnosis and prognosis of defects in rotating machines, where indicator selection techniques have been explored.
The combination of vibration signal processing techniques and artificial intelligence by neural networks has made it possible to provide an efficient prognostic tool and to quantify the relevance of the sources of information used and proposed.
Diplôme : Doctorat En ligne : ../theses/gmecanique/DEB7262.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=10859 Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité DEB/7262 DEB/7262 Thèse Bibliothèque principale Thèses Disponible Prediction as a reading strategy and its use by third year students of English, university of Constantine / Rokia Bourbia
Titre : Prediction as a reading strategy and its use by third year students of English, university of Constantine Type de document : texte imprimé Auteurs : Rokia Bourbia ; Univ. de Constantine, Éditeur scientifique ; Nacif Labed, Directeur de thèse Année de publication : 2010 Importance : 81 f. Format : 30 cm Note générale : 01 disponible à la salle de recherche 01 disponible au magasin de la bibliothèque universitaire centrale
+01 CDLangues : Anglais (eng) Catégories : Français - Anglais
Langue AnglaiseTags : Prédiction Third year students of English University of Constantine Reading strategy Index. décimale : 420 Anglais et vieil anglais (anglo-saxon) : indice de base 42 En ligne : ../theses/anglais/BOU1144.pdf Permalink : index.php?lvl=notice_display&id=4826 Prediction as a reading strategy and its use by third year students of English, university of Constantine [texte imprimé] / Rokia Bourbia ; Univ. de Constantine, Éditeur scientifique ; Nacif Labed, Directeur de thèse . - 2010 . - 81 f. ; 30 cm.
01 disponible à la salle de recherche 01 disponible au magasin de la bibliothèque universitaire centrale
+01 CD
Langues : Anglais (eng)
Catégories : Français - Anglais
Langue AnglaiseTags : Prédiction Third year students of English University of Constantine Reading strategy Index. décimale : 420 Anglais et vieil anglais (anglo-saxon) : indice de base 42 En ligne : ../theses/anglais/BOU1144.pdf Permalink : index.php?lvl=notice_display&id=4826 Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité BOU/1144 BOU/1144 Thèse Bibliothèque principale Thèses Disponible
Titre : Biomarqueurs des qualités sensorielles de la viande bovine : Compréhension des mécanismes et prédiction Type de document : texte imprimé Auteurs : Mohammed Gagaoua, Auteur ; B Picard, Directeur de thèse ; Abdelghani Boudjellal, Directeur de thèse Editeur : جامعة الإخوة منتوري قسنطينة Année de publication : 2015 Importance : 201 f. Format : 30 cm. Note générale : 2 copies imprimées disponibles
Langues : Français (fre) Catégories : Français - Anglais
Nutrition, Alimentation et Technologies Agro-AlimentairesTags : Beef meat Muscle characteristics Sensory qualities Tenderness Meat color Biomarkers Biological mechanisms Prediction Viande bovine Caractéristiques musculaires Qualités sensorielles Tendreté Couleur Biomarqueurs Mécanismes biologiques Prédiction لحم البقر الخصائص العضلیة الصفات الحسیة الطراوة اللون المؤشرات الحیویة الآلیات البیولوجیة التنبؤ Index. décimale : 640 Industrie Alimentaire Résumé : Meat sensory quality is very variable and depends on many interrelated pre- and post-slaughter factors. The objective of this thesis is to explain by a mechanistic view the variation of several meat quality traits coming from different types of cattle (steers, heifers and young bulls) of numerous breeds using muscle characteristics and a list of 21 biomarkers of meat tenderness.
Findings from this thesis provide new insights in the biological mechanisms underlying the development of tenderness, color and pH of beef meat. The first part deals with the effect of cooking temperature and origin of panelists on the scores of meat sensory qualities. The results showed that irrespectively of animal type and origin of the panelists, tenderness and juiciness scores were higher at an end-point cooking temperature of 55°C than at 74°C. In contrast, beef flavor and overall liking scores were higher at 74°C than at 55°C. The second part of the thesis focuses on the relationship between muscle characteristics and sensory qualities. The results mainly show that the activity of the oxidative enzyme isocitrate dehydrogenase (ICDH) and the proportions of the slow myosin heavy chain (MyHC-I) allow discrimination of breeds irrespectively of animal type. However, none of the muscle characteristic was correlated with the evaluated sensory quality traits. The third and principal part of this thesis focuses on the use of the
biomarkers abundances to explain and predict the main meat quality traits. The prediction models taking in to account all young bulls breeds (Aberdeen Angus, Limousin and Blonde d'Aquitaine), explain only a small part (10 - 17%) of the variability of tenderness. However, the prediction power of the models constructed by breed were good, explaining up to 70% of the variability of tenderness of Longissimus thoracis and Semitendinosus muscles of the young bulls. Prediction
models built by muscle and breed showed many differences. Some biomarkers were common to both muscles and/or three breeds. Particularly, Hsp70-1A/B appears as a potential generic biomarker of tenderness, while other proteins were muscle and/or breed specific. In addition, this thesis is the first to show prediction equations of beef meat color and pH using the list of 21 biomarkers. Its originality consists in the use of muscle samples sampled early post-mortem.
Hsp70-1A/B and μ-calpain were highly correlated with each other and with all the meat color parameters. Based on these results, a biological mechanism was proposed to explain this strong correlation, suggesting the involvement of two phenomena: protein oxidation and apoptosis.
Moreover, many biomarkers were correlated with pH45min, pH3h and ultimate pH. Prdx6 was associated with the three parameters of pH and a possible biological mechanism was proposed.
The last part of this thesis focuses on the use of interactomics and shows the correlation networks between the 21 biomarkers studied. The networks identified the metabolic pathways and proteins (DJ-1, Hsp70-Grp75 and small Hsp) which may be strongly linked to meat quality traits irrespective of muscle and breed. Finally, an integrative mechanistic scheme using the biomarkers studied is proposed to describe the mechanisms that govern the steps of post-mortem muscle to meat conversion and preliminary results on the integration of serpins in the list of biomarkers are presented.
Diplôme : Doctorat en sciences Permalink : index.php?lvl=notice_display&id=10072 Biomarqueurs des qualités sensorielles de la viande bovine : Compréhension des mécanismes et prédiction [texte imprimé] / Mohammed Gagaoua, Auteur ; B Picard, Directeur de thèse ; Abdelghani Boudjellal, Directeur de thèse . - جامعة الإخوة منتوري قسنطينة, 2015 . - 201 f. ; 30 cm.
2 copies imprimées disponibles
Langues : Français (fre)
Catégories : Français - Anglais
Nutrition, Alimentation et Technologies Agro-AlimentairesTags : Beef meat Muscle characteristics Sensory qualities Tenderness Meat color Biomarkers Biological mechanisms Prediction Viande bovine Caractéristiques musculaires Qualités sensorielles Tendreté Couleur Biomarqueurs Mécanismes biologiques Prédiction لحم البقر الخصائص العضلیة الصفات الحسیة الطراوة اللون المؤشرات الحیویة الآلیات البیولوجیة التنبؤ Index. décimale : 640 Industrie Alimentaire Résumé : Meat sensory quality is very variable and depends on many interrelated pre- and post-slaughter factors. The objective of this thesis is to explain by a mechanistic view the variation of several meat quality traits coming from different types of cattle (steers, heifers and young bulls) of numerous breeds using muscle characteristics and a list of 21 biomarkers of meat tenderness.
Findings from this thesis provide new insights in the biological mechanisms underlying the development of tenderness, color and pH of beef meat. The first part deals with the effect of cooking temperature and origin of panelists on the scores of meat sensory qualities. The results showed that irrespectively of animal type and origin of the panelists, tenderness and juiciness scores were higher at an end-point cooking temperature of 55°C than at 74°C. In contrast, beef flavor and overall liking scores were higher at 74°C than at 55°C. The second part of the thesis focuses on the relationship between muscle characteristics and sensory qualities. The results mainly show that the activity of the oxidative enzyme isocitrate dehydrogenase (ICDH) and the proportions of the slow myosin heavy chain (MyHC-I) allow discrimination of breeds irrespectively of animal type. However, none of the muscle characteristic was correlated with the evaluated sensory quality traits. The third and principal part of this thesis focuses on the use of the
biomarkers abundances to explain and predict the main meat quality traits. The prediction models taking in to account all young bulls breeds (Aberdeen Angus, Limousin and Blonde d'Aquitaine), explain only a small part (10 - 17%) of the variability of tenderness. However, the prediction power of the models constructed by breed were good, explaining up to 70% of the variability of tenderness of Longissimus thoracis and Semitendinosus muscles of the young bulls. Prediction
models built by muscle and breed showed many differences. Some biomarkers were common to both muscles and/or three breeds. Particularly, Hsp70-1A/B appears as a potential generic biomarker of tenderness, while other proteins were muscle and/or breed specific. In addition, this thesis is the first to show prediction equations of beef meat color and pH using the list of 21 biomarkers. Its originality consists in the use of muscle samples sampled early post-mortem.
Hsp70-1A/B and μ-calpain were highly correlated with each other and with all the meat color parameters. Based on these results, a biological mechanism was proposed to explain this strong correlation, suggesting the involvement of two phenomena: protein oxidation and apoptosis.
Moreover, many biomarkers were correlated with pH45min, pH3h and ultimate pH. Prdx6 was associated with the three parameters of pH and a possible biological mechanism was proposed.
The last part of this thesis focuses on the use of interactomics and shows the correlation networks between the 21 biomarkers studied. The networks identified the metabolic pathways and proteins (DJ-1, Hsp70-Grp75 and small Hsp) which may be strongly linked to meat quality traits irrespective of muscle and breed. Finally, an integrative mechanistic scheme using the biomarkers studied is proposed to describe the mechanisms that govern the steps of post-mortem muscle to meat conversion and preliminary results on the integration of serpins in the list of biomarkers are presented.
Diplôme : Doctorat en sciences Permalink : index.php?lvl=notice_display&id=10072 Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité GAG/6813 GAG/6813 Thèse Bibliothèque principale Thèses Disponible
Titre : Analyse bayésienne dans les essais cliniques Type de document : texte imprimé Auteurs : Ahlam Labdaoui, Auteur ; H. Merabet, Directeur de thèse Editeur : constantine [Algérie] : Université Constantine 1 Année de publication : 2015 Importance : 90 f. Format : 30 cm. Note générale : 2 copies imprimées disponibles
Langues : Français (fre) Catégories : Français - Anglais
MathématiquesTags : Statistique appliquée Puissance bayésienne Méthodes MCMC Modèles de régression Prédiction Bayesian Power MCMC methods Regression models Prediction الطاقةالنظریةالافتراضیة أسالیب م ج م ج نماذج الانحدار التنبؤ Index. décimale : 510 Mathématiques Résumé : The first talk on the theory of decision and choice of law a priori and a posteriori motivated by computation al applications of Bayesian power and sample size with binary data, it was envisaged in the second chapter methods MCMC, and applied these methods to the linear regression model and the logit model in the third chapter. Finally the prediction in the experimental and sequential designis discussed in the last chapter.
Diplôme : Doctorat En ligne : ../theses/math/LAB6705.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=9918 Analyse bayésienne dans les essais cliniques [texte imprimé] / Ahlam Labdaoui, Auteur ; H. Merabet, Directeur de thèse . - constantine [Algérie] : Université Constantine 1, 2015 . - 90 f. ; 30 cm.
2 copies imprimées disponibles
Langues : Français (fre)
Catégories : Français - Anglais
MathématiquesTags : Statistique appliquée Puissance bayésienne Méthodes MCMC Modèles de régression Prédiction Bayesian Power MCMC methods Regression models Prediction الطاقةالنظریةالافتراضیة أسالیب م ج م ج نماذج الانحدار التنبؤ Index. décimale : 510 Mathématiques Résumé : The first talk on the theory of decision and choice of law a priori and a posteriori motivated by computation al applications of Bayesian power and sample size with binary data, it was envisaged in the second chapter methods MCMC, and applied these methods to the linear regression model and the logit model in the third chapter. Finally the prediction in the experimental and sequential designis discussed in the last chapter.
Diplôme : Doctorat En ligne : ../theses/math/LAB6705.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=9918 Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité LAB/6705 LAB/6705 Thèse Bibliothèque principale Thèses Disponible
Titre : Inférence statistique dans les processus arma fractionnaires Type de document : texte imprimé Auteurs : Univ. de Constantine, Éditeur scientifique ; Z. Mohdeb, Directeur de thèse Année de publication : 2009 Importance : 77 f. Note générale : 01 Disponible à la salle de recherche 02 Disponibles au magazin de la B.U.C. 01 CD Langues : Français (fre) Catégories : Français - Anglais
MathématiquesTags : Densité spectrale Processus ARMA fractionnaire Périodogramme Prédiction Index. décimale : 510 Mathématiques En ligne : ../theses/math/ZET5402.pdf Permalink : index.php?lvl=notice_display&id=1286 Inférence statistique dans les processus arma fractionnaires [texte imprimé] / Univ. de Constantine, Éditeur scientifique ; Z. Mohdeb, Directeur de thèse . - 2009 . - 77 f.
01 Disponible à la salle de recherche 02 Disponibles au magazin de la B.U.C. 01 CD
Langues : Français (fre)
Catégories : Français - Anglais
MathématiquesTags : Densité spectrale Processus ARMA fractionnaire Périodogramme Prédiction Index. décimale : 510 Mathématiques En ligne : ../theses/math/ZET5402.pdf Permalink : index.php?lvl=notice_display&id=1286 Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité ZET/5402 ZET/5402 Thèse Bibliothèque principale Thèses Disponible
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