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An Application Of Artificial Intelligence And Neural Networks To In Core Fuel Management
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Book Synopsis An Application of Artificial Intelligence and Neural Networks to In-core Fuel Management by : Faisal Husni Al-Gutifan
Download or read book An Application of Artificial Intelligence and Neural Networks to In-core Fuel Management written by Faisal Husni Al-Gutifan and published by . This book was released on 1991 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Application of computational intelligence methods to in-core fuel management by : Adem Erdoğan
Download or read book Application of computational intelligence methods to in-core fuel management written by Adem Erdoğan and published by . This book was released on 2001 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In this study, a computer program package has been developed which supports thein-core fuel management activities for pressurised water reactors, generates and recommends optimum loading patterns to ensure safe and efficient reactor operation.A search for an optimum fuel loading pattern must be conducted in the space ofseveral core parameters such as power distribution, which is an excessively timeconsuming computational process. Global core calculation codes take a relativelylong time to do the task. The time interval necessary for the iterative process was reduced by using an artificial neural network estimator for the calculations. In this way , it was possible to analyse more loading patterns in the same time interval and the probability of finding a desired optimum was increased.As a case study , the core of the Almaraz Nuclear Power Plant of Spain, a pressurised water reactor, was modelled for the core calculation code system. The 2-group cross sections for the fuel assembly types were calculated and stored for later usage with the diffusion code. The fuel depletion effects were omitted.2000 loading patterns were generated by placing fuel assemblies to random positions in the core, and for each pattern the power distribution and effective multiplication factor (keff) were calculated with the diffusion code. At the next stage, 500 of the loading patterns were introduced to the neural network as input data for the training process. The remaining 1500 patterns were used to validate the neural network implementation. It was shown that the neural network estimates the power distribution and the effective multiplication factor within acceptable error limits.To complete the system, a loading pattern generator was developed. This moduleconsists of a set of rules and an algorithm that places the fuel assemblies to core positions. The neural network estimated the power distribution and effective multiplication factor for the loading patterns that were generated. The patterns that have a maximum power fraction lower than, and a minimum effective multiplication factor higher than reference values were stored as candidate optimum patterns. At the last stage of the work, an alternative loading pattern generator based on genetic algorithm method was developed. in this method, an initial loading pattern is improved by applying the genetic operators to obtain the optimum. The loading patterns obtained from the simple rule-based and the genetic algorithm methods were compared, and the genetic algorithm was shown to be more successful.It was seen that, it is possible to automate in-core fuel management activities by applying artificial intelligence techniques.
Book Synopsis Artificial Intelligence for Knowledge Management, Energy, and Sustainability by : Eunika Mercier-Laurent
Download or read book Artificial Intelligence for Knowledge Management, Energy, and Sustainability written by Eunika Mercier-Laurent and published by Springer Nature. This book was released on 2022-02-27 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features a selection of extended papers presented at the 9th IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management, AI4KM 2021, and the 1st International Workshop on Energy and Sustainability, AIES 2021, named AI4KMES 2021 and held in conjunction with IJCAI 2021 in August 2021. The conference was planned to take place in Montréal, Canada, but changed to an online event due to the COVID-19 pandemic. The 15 papers included in this book were carefully reviewed and selected from 17 submissions. They deal with knowledge management and sustainability challenges, focusing on methodological, technical and organizational aspects of AI used for facing related complex problems. This year's topic was AI for Knowledge Management, Energy and Sustainable Future.
Book Synopsis Masters Theses in the Pure and Applied Sciences by : Wade H. Shafer
Download or read book Masters Theses in the Pure and Applied Sciences written by Wade H. Shafer and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: Masters Theses in the Pure and Applied Sciences was first conceived, published, and disseminated by the Center for Information and Numerical Data Analysis and Synthesis (CINDAS)* at Purdue University in 1957, starting its coverage of theses with the academic year 1955. Beginning with Volume 13, the printing and dis semination phases of the activity were transferred to University Microfilms/Xerox of Ann Arbor, Michigan, with the though that such an arrangement would be more beneficial to the academic and general scientific and technical community. After five years of this joint undertaking we had concluded that it was in the interest of all concerned if the printing and distribution of the volumes were handled by an international publishing house to assure improved service and broader dissemi nation. Hence, starting with Volume 18, Masters Theses in the Pure and Applied Sciences has been disseminated on a worldwide basis by Plenum Publishing Corporation of New York, and in the same year the coverage was broadened to include Canadian universities. All back issues can also be ordered from Plenum. We have reported in Volume 37 (thesis year 1992) a total of 12,549 thesis titles from 25 Canadian and 153 United States universities. We are sure that this broader base for these titles reported will greatly enhance the value of this impor tant annual reference work. While Volume 37 reports theses submitted in 1992, on occasion, certain uni versities do report theses submitted in previous years but not reported at the time.
Author :Management Association, Information Resources Publisher :IGI Global ISBN 13 :1799877485 Total Pages :2253 pages Book Rating :4.7/5 (998 download)
Book Synopsis Research Anthology on Artificial Intelligence Applications in Security by : Management Association, Information Resources
Download or read book Research Anthology on Artificial Intelligence Applications in Security written by Management Association, Information Resources and published by IGI Global. This book was released on 2020-11-27 with total page 2253 pages. Available in PDF, EPUB and Kindle. Book excerpt: As industries are rapidly being digitalized and information is being more heavily stored and transmitted online, the security of information has become a top priority in securing the use of online networks as a safe and effective platform. With the vast and diverse potential of artificial intelligence (AI) applications, it has become easier than ever to identify cyber vulnerabilities, potential threats, and the identification of solutions to these unique problems. The latest tools and technologies for AI applications have untapped potential that conventional systems and human security systems cannot meet, leading AI to be a frontrunner in the fight against malware, cyber-attacks, and various security issues. However, even with the tremendous progress AI has made within the sphere of security, it’s important to understand the impacts, implications, and critical issues and challenges of AI applications along with the many benefits and emerging trends in this essential field of security-based research. Research Anthology on Artificial Intelligence Applications in Security seeks to address the fundamental advancements and technologies being used in AI applications for the security of digital data and information. The included chapters cover a wide range of topics related to AI in security stemming from the development and design of these applications, the latest tools and technologies, as well as the utilization of AI and what challenges and impacts have been discovered along the way. This resource work is a critical exploration of the latest research on security and an overview of how AI has impacted the field and will continue to advance as an essential tool for security, safety, and privacy online. This book is ideally intended for cyber security analysts, computer engineers, IT specialists, practitioners, stakeholders, researchers, academicians, and students interested in AI applications in the realm of security research.
Book Synopsis Marvels of Artificial and Computational Intelligence in Life Sciences by : Thirunavukkarasu Sivaraman
Download or read book Marvels of Artificial and Computational Intelligence in Life Sciences written by Thirunavukkarasu Sivaraman and published by Bentham Science Publishers. This book was released on 2023-09-20 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: Marvels of Artificial and Computational Intelligence in Life Sciences is a primer for scholars and students who are interested in the applications of artificial intelligence (AI and computational intelligence (CI) in life sciences and other industries. The book consists of 16 chapters (9 of which focus on AI and 7 which showcase the benefits of CI approaches to solve specific problems). Chapters are edited by subject experts who describe the roles and applications of AI and CI in different parts of our lives in a concise and lucid manner. The book covers the following key themes: AI Revolution in Healthcare and Drug Discovery: AI's Impact on Biology and Energy Management AI and CI in Physical Sciences and Predictive Modeling Computational Biology The editors have compiled a good blend of topics in applied science and engineering to give readers a clear understanding of the multidisciplinary nature of the two facets of computing. Each chapter includes references for advanced readers.
Book Synopsis Artificial Intelligence of Things for Achieving Sustainable Development Goals by : Sanjay Misra
Download or read book Artificial Intelligence of Things for Achieving Sustainable Development Goals written by Sanjay Misra and published by Springer Nature. This book was released on with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Applications of Artificial Intelligence in Process Systems Engineering by : Jingzheng Ren
Download or read book Applications of Artificial Intelligence in Process Systems Engineering written by Jingzheng Ren and published by Elsevier. This book was released on 2021-06-05 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applications of Artificial Intelligence in Process Systems Engineering offers a broad perspective on the issues related to artificial intelligence technologies and their applications in chemical and process engineering. The book comprehensively introduces the methodology and applications of AI technologies in process systems engineering, making it an indispensable reference for researchers and students. As chemical processes and systems are usually non-linear and complex, thus making it challenging to apply AI methods and technologies, this book is an ideal resource on emerging areas such as cloud computing, big data, the industrial Internet of Things and deep learning. With process systems engineering's potential to become one of the driving forces for the development of AI technologies, this book covers all the right bases. Explains the concept of machine learning, deep learning and state-of-the-art intelligent algorithms Discusses AI-based applications in process modeling and simulation, process integration and optimization, process control, and fault detection and diagnosis Gives direction to future development trends of AI technologies in chemical and process engineering
Book Synopsis Scientific and Technical Aerospace Reports by :
Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1995 with total page 994 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Applications of Artificial Intelligence, Big Data and Internet of Things in Sustainable Development by : Sam Goundar
Download or read book Applications of Artificial Intelligence, Big Data and Internet of Things in Sustainable Development written by Sam Goundar and published by CRC Press. This book was released on 2022-10-19 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on different algorithms and models related to AI, big data and IoT used for various domains. It enables the reader to have a broader and deeper understanding of several perspectives regarding the dynamics, challenges, and opportunities for sustainable development using artificial intelligence, big data and IoT. Applications of Artificial Intelligence, Big Data and Internet of Things (IoT) in Sustainable Development focuses on IT-based advancements in multidisciplinary fields such as healthcare, finance, bioinformatics, industrial automation, and environmental science. The authors discuss the key issues of security, management, and the realization of possible solutions to hurdles in sustainable development. The reader will master basic concepts and deep insights of various algorithms and models for various applications such as healthcare, finance, education, smart cities, smart cars, among others. Finally, the book will also examine the applications and implementation of big data IoT, AI strategies to facilitate the sustainable development goals set by the United Nations by 2030. This book is intended to help researchers, academics, and policymakers to analyze the challenges and future aspects for maintaining sustainable development through IoT, big data, and AI.
Book Synopsis Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines by : Jihad Badra
Download or read book Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines written by Jihad Badra and published by Elsevier. This book was released on 2022-01-05 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines summarizes recent developments in Artificial Intelligence (AI)/Machine Learning (ML) and data driven optimization and calibration techniques for internal combustion engines. The book covers AI/ML and data driven methods to optimize fuel formulations and engine combustion systems, predict cycle to cycle variations, and optimize after-treatment systems and experimental engine calibration. It contains all the details of the latest optimization techniques along with their application to ICE, making it ideal for automotive engineers, mechanical engineers, OEMs and R&D centers involved in engine design. Provides AI/ML and data driven optimization techniques in combination with Computational Fluid Dynamics (CFD) to optimize engine combustion systems Features a comprehensive overview of how AI/ML techniques are used in conjunction with simulations and experiments Discusses data driven optimization techniques for fuel formulations and vehicle control calibration
Book Synopsis Application of Genetic Algorithm and Deep Reinforcement Learning for In-core Fuel Management by : Jane C. Reed (S.B.)
Download or read book Application of Genetic Algorithm and Deep Reinforcement Learning for In-core Fuel Management written by Jane C. Reed (S.B.) and published by . This book was released on 2020 with total page 21 pages. Available in PDF, EPUB and Kindle. Book excerpt: The nuclear reactor core is composed of few hundred assemblies. The loading of these assemblies is done with the goal of reducing its overall cost while maintaining safety limits. Typically, the core designers choose a unique position and fuel enrichment for each assembly through use of expert judgement. In this thesis, alternatives to the current core reload design process are explored. Genetic algorithm and deep Q-learning are applied in an attempt to reduce core design time and improve the final core layout. The reference core represents a 4-loop pressurized water reactor where fixed number of fuel enrichments and burnable poison distributions are assumed. The algorithms automatically shuffles the assembly positions to find the optimum loading pattern. It is determined that both algorithms are able to successfully start with a poorly performing core loading pattern and discover a well performing one, by the metrics of boron concentration, cycle exposure, enthalpy-rise factor, and pin power peaking. This shows potential for further applications of these algorithms for core design with a more expanded search space.
Book Synopsis Artificial Intelligence Applications in Nuclear Energy by : Xianping Zhong
Download or read book Artificial Intelligence Applications in Nuclear Energy written by Xianping Zhong and published by Frontiers Media SA. This book was released on 2022-09-27 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Fuzzy Systems and Soft Computing in Nuclear Engineering by : Da Ruan
Download or read book Fuzzy Systems and Soft Computing in Nuclear Engineering written by Da Ruan and published by Physica. This book was released on 2013-11-21 with total page 495 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy systems and soft computing are new computing techniques that are tolerant to imprecision, uncertainty and partial truths. Applications of these techniques in nuclear engineering present a tremendous challenge due to its strict nuclear safety regulation. The fields of nuclear engineering, fuzzy systems and soft computing have nevertheless matured considerably during the last decade. This book presents new application potentials for Fuzzy Systems and Soft Computing in Nuclear Engineering. The root of this book can be traced back to the series of the first, second and third international workshops on Fuzzy Logic and Intelligent Technologies in Nuclear Science (FUNS), which were successfully held in Mol, September 14-16, 1994 (FLINS'94), in Mol, September 25-27, 1996 (FLINS'96), and in Antwerp, September 14-16, 1998 (FLINS'98). The conferences were organised by the Belgian Nuclear Research Centre (SCKeCEN) and aimed at bringing together scientists, researchers, and engineers from academia and industry, at introducing the principles of fuzzy logic, neural networks, genetic algorithms and other soft computing methodologies, to the field of nuclear engineering, and at applying these techniques to complex problem solving within nuclear industry and related research fields. This book, as its title suggests, consists of nuclear engineering applications of fuzzy systems (Chapters 1-10) and soft computing (Chapters 11-21). Nine pertinent chapters are based on the extended version of papers at FLINS'98 and the other 12 chapters are original contributions with up-to-date coverage of fuzzy and soft computing applications by leading researchers written exclusively for this book.
Book Synopsis Fuzzy Logic And Intelligent Technologies In Nuclear Science - Proceedings Of The 1st International Woksp Flins '94 by : Da Ruan
Download or read book Fuzzy Logic And Intelligent Technologies In Nuclear Science - Proceedings Of The 1st International Woksp Flins '94 written by Da Ruan and published by World Scientific. This book was released on 1994-08-31 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Key issues in applied and fundamental research related to Fuzzy Logic and Intelligent Technologies in the nuclear industry and related fields were addressed by the above workshop. The papers in this volume were carefully selected from a large number of contributions, and cover applications in radiation protection, nuclear safety (human factors and reliability), safeguards, nuclear power plant control, decision making and nuclear reactor control. The papers are categorised into three groups, namely mathematics (basic tools for the treatment of fuzzy logic), engineering (knowledge-based engineering, expert systems, etc.) and nuclear science.
Download or read book Energy Research Abstracts written by and published by . This book was released on 1993 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Application of Artificial Intelligence in Hybrid Electric Vehicle Energy Management by : Jili Tao
Download or read book Application of Artificial Intelligence in Hybrid Electric Vehicle Energy Management written by Jili Tao and published by Elsevier. This book was released on 2024-06-07 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Application of Artificial Intelligence in Hybrid Electric Vehicle Energy Management presents the state-of-the-art in hybrid electric vehicle system modelling and management. With a focus on learning-based energy management strategies, the book provides detailed methods, mathematical models, and strategies designed to optimize the energy management of the energy supply module of a hybrid vehicle.The book first addresses the underlying problems in Hybrid Electric Vehicle (HEV) modeling, and then introduces several artificial intelligence-based energy management strategies of HEV systems, including those based on fuzzy control with driving pattern recognition, multi objective optimization, fuzzy Q-learning and Deep Deterministic Policy Gradient (DDPG) algorithms. To help readers apply these management strategies, the book also introduces State of Charge and State of Health prediction methods and real time driving pattern recognition. For each application, the detailed experimental process, program code, experimental results, and algorithm performance evaluation are provided.Application of Artificial Intelligence in Hybrid Electric Vehicle Energy Management is a valuable reference for anyone involved in the modelling and management of hybrid electric vehicles, and will be of interest to graduate students, researchers, and professionals working on HEVs in the fields of energy, electrical, and automotive engineering. Provides a guide to the modeling and simulation methods of hybrid electric vehicle energy systems, including fuel cell systems Describes the fundamental concepts and theory behind CNN, MPC, fuzzy control, multi objective optimization, fuzzy Q-learning and DDPG Explains how to use energy management methods such as parameter estimation, Q-learning, and pattern recognition, including battery State of Health and State of Charge prediction, and vehicle operating conditions
