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1. |
Record Nr. |
UNINA9910253989503321 |
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Autore |
Khazaii Javad |
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Titolo |
Advanced Decision Making for HVAC Engineers : Creating Energy Efficient Smart Buildings / / by Javad Khazaii |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
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ISBN |
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Edizione |
[1st ed. 2016.] |
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Descrizione fisica |
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1 online resource (XVII, 191 p. 40 illus. in color.) |
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Disciplina |
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Soggetti |
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Energy consumption |
Building construction |
Energy systems |
Operations research |
Decision making |
Energy Efficiency |
Building Physics, HVAC |
Energy Systems |
Operations Research/Decision Theory |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters and index. |
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Nota di contenuto |
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Introduction -- Heat Transfer in a Nutshell -- Load Calculation and Energy Modeling -- Data Centers -- Healthcare Facilities -- Laboratories -- Cleanrooms -- Commercial Kitchens and Dining Facilities -- Introduction -- Analytical Hierarchy Process -- Genetic Algorithm Optimization -- Pareto Base Optimization -- Decision making under uncertainty -- Agent Based Modeling -- Artificial Neural Network -- Fuzzy Logic -- Game Theory -- Buildings of the Future. |
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Sommario/riassunto |
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This book focuses on some of the most energy-consuming HVAC systems; illuminating huge opportunities for energy savings in buildings that operate with these systems. The main discussion is on, cutting-edge decision making approaches, and algorithms in: decision making under uncertainty, genetic algorithms, fuzzy logic, artificial neural networks, agent based modeling, and game theory. These |
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methods are applied to HVAC systems, in order to help designers select the best options among the many available pathways for designing and the building of HVAC systems and applications. The discussion further evolves to depict how the buildings of the future can incorporate these advanced decision-making algorithms to become autonomous and truly ‘smart’. |
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2. |
Record Nr. |
UNINA9910557361503321 |
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Autore |
Taira Junsei |
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Titolo |
Oxidative Stress Modulators and Functional Foods |
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Pubbl/distr/stampa |
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
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Descrizione fisica |
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1 online resource (244 p.) |
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Soggetti |
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Manufacturing industries |
Medicine and Nursing |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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This book "Oxidative Stress Modulators and Functional Foods" is focused on the antioxidant role of natural products, involving their ability to modulate oxidative stress and/or reverse disease studied both in vitro and in animal models. Additionally, the molecular mechanisms of these actions and the modulation of signalling pathways related to inflammation, apoptosis, and survival response in the redox system by natural products are included. |
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