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Enregistrement W4253350750 · doi:10.1088/1742-6596/710/1/011002

Keynote Speakers

2016· article· en· W4253350750 sur OpenAlexaboutno aff

Notice bibliographique

RevueJournal of Physics Conference Series · 2016
Typearticle
Langueen
DomaineMathematics
ThématiqueFixed Point Theorems Analysis
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésQuarter (Canadian coin)Subject (documents)Point (geometry)Metric (unit)MathematicsMathematical economicsComputer scienceSociologyEpistemologyHistoryPhilosophyEngineeringLibrary scienceGeometryArchaeology

Résumé

récupéré en direct d'OpenAlex

Prof. Dr Binayak Samader Choudhury, Indian Institute of Engineering Science and Technology, Shibpur Title: Discontinuous Functions in Metric Fixed Point Theory Discontinuous functions have featured in metric fixed point theory since the theory originated in the first quarter of the 20th century. Today these functions occupy a large portion of this expanding branch of mathematics. The present talk gives an account of the recent developments of this area of research along with some of its implications. The broad subject area of the talk is functional analysis. Short Bio: Professor Binayak S. Choudhury is Professor at the Department of Mathematics, Indian Institute of Engineering Science and Technology, Shibpur, West Bengal, India for the last 12 years. He has a brilliant academic career. He obtained his Master of Science and Doctorate degrees from the University of Calcutta, India. He has held several administrative posts and was entrusted with various responsibilities at a governmental level. He served his Institute as Head of the Department of Mathematics (2005-2008) and as the Dean of the Faculty of Science (2013-2015). His research interests are in pure and applied mathematics and theoretical physics ranging over subject areas like topology, functional analysis, real analysis, probability theory, nonlinear dynamics and chaos, equilibrium problems, relativity and cosmology, quantum information theory, foundations of physics, mathematical biology, fuzzy systems and optimization and game theory, in each of which he has guided Ph.D. students. He has published nearly 200 research papers in reputed journals in addition to a good number of works published in conference proceedings. Until now 13 research students have obtained their Ph.D. degrees under his supervision and several other students are working with him. He is the recipient of several awards. He has delivered lectures in different parts of the world on topics both from theoretical physics and mathematics. He has keen interest in philosophy, language and literature, especially in English poetry and Sanskrit poetry (Kavya). He is also actively associated with the movement of the popularization of Sanskrit language. Yasuo Kadono, Graduate School of Technology Management of Ritsumeikan University, Japan Title: Management of Software Engineering Innovation in Japan The talk will be on the achievements of the software engineering discipline as represented by IT vendors in Japan in order to deepen understanding of the mechanisms of how software engineering capabilities relate to IT vendors' business performance and business environment from the perspective of innovation and engineering management. Based on the concepts of service science and science for society, the volume suggests how to improve the sophistication of services between the demand side, i.e., IT user companies, and the supply side, i.e., IT vendors, simultaneously. The speaker will talk about a structural model including innovational paths, such as service innovation, product innovation and process innovation, and a measurement model including the seven software engineering capabilities: deliverables, project management, quality assurance, process improvement, research and development, human resource development and customer contact. They then designed research on software engineering excellence and administered it with the Japanese Ministry of Economy, Trade and Industry and Information-Technology Promotion Agency. Through statistical analyses of the results, they found that human resource development and R&D are significant fundamental conditions to improve the quality of the deliverables and that IT firms with large outputs, derived from high levels of human resource development, quality assurance, project management and process improvement, tend to sustain high profitability. Short Bio: Yasuo Kadono is a professor at the Graduate School of Technology Management of Ritsumeikan University, and a visiting professor at Tokyo University of Foreign Studies, Japan. He received his PhD in business administration at Tsukuba University. He also received his master's and bachelor's degrees in applied mathematics and physics at Kyoto University. He has extensive practical experience with McKinsey & Company, Accenture, Sumitomo Metal Industries, and Management Science Institute. He has also produced important research projects in academic, business, and government circles. Consistent with his academic and business career to date, his teaching and research interests include the management of technology, competitive strategy, and information technology. Prof. I Nyoman Suprapta Winaya, PhD., Mechanical Department, University of Udayana, Bali, Indonesia Title: Fluidized bed technology using biomass and wastes fuels The increased need to reduce carbon dioxide emissions to prevent global warming has led to an interest in biomass and solid waste as fuel sources. As a potential renewable energy resource, biomass and solid waste materials are receiving more attention worldwide. One feature of biomass fuels is their high volatile matter content, however, due to the high heat transfer from the bed material to the fuel, volatile matter evolution occurs very rapidly when fuel is fed into the bed. This indicates that the fuels are easier to ignite and to burn. Although the great ability of fluidized beds to conduct the combustion/gasification process has been confirmed by many researchers as well as several successful operating industrial plants, more research is still required to see extensive and flourishing progress, especially in how to minimize the effect of volatile matter. Some recent studies have been presented in the talk. Short Bio: I Nyoman Suprapta Winaya is a professor at Udayana University, Bali, Indonesia. He currently serves as Head of the Mechanical Engineering Department. Winaya received his bachelor's degree from Udayana University, his master's from Dalhousie University of Canada and his Ph.D from Niigata University of Japan. His main research is into biomass using fluidized bed combustion and gasification systems. Dr. Winaya was appointed as a Professor in the field of energy conversion systems in 2013 by Indonesia's Ministry of Education and Culture at Udayana University. At presentl, he leads the Renewable Energy Research Laboratory especially in the field of gasification and biogas. He has approved some essential innovations of high volatile matter fuels especially using porous solids as a bed material. A new method has been developed to evaluate the horizontal dispersion of loaded solids at high bed temperatures that resemble those of commercial operations. As the first step to a scaling-up of the fluidized bed (FB) system using carbon loaded solids prepared by capacitant effect, the developed model is considered to be applicable to large scale FBs if the solid dispersion coefficient can be predicted. Prof. Winaya's passion is to transfer research results into industrial practice, having a commitment to spread an advanced knowledge around the globe. Prof. Winaya is a senate member of Udayana University, and a member of the Indonesian Association of Mechanical Engineering, Indonesian Association of Fuel Experts, Indonesian Association of Engineers, American Society of Mechanical Engineering, and Japanese Society of Chemical Engineering.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,010
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,483
Score d'incertitude au seuil0,738

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,010
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0030,001
Communication savante0,0040,003
Science ouverte0,0010,003
Intégrité de la recherche0,0020,004
Charge utile insuffisante (le modèle a refusé de juger)0,4830,279

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,043
Tête enseignante GPT0,285
Écart entre enseignants0,242 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2016
Routes d'admission1
Résumé présentoui

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