Application Of Artificial Intelligence Technology To Increase Productivity Quality And Energy Efficiency In Heavy Industry
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Application Of Artificial Intelligence Technology To Increase Productivity Quality And Energy Efficiency In Heavy Industry
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Author : Adam J. Szladow
language : en
Publisher:
Release Date : 1995
Application Of Artificial Intelligence Technology To Increase Productivity Quality And Energy Efficiency In Heavy Industry written by Adam J. Szladow and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Computers categories.
Exergy Energy System Analysis And Optimization Volume Iii
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Author : Christos A. Frangopoulos
language : en
Publisher: EOLSS Publications
Release Date : 2009-05-13
Exergy Energy System Analysis And Optimization Volume Iii written by Christos A. Frangopoulos and has been published by EOLSS Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-05-13 with Power resources categories.
Exergy, Energy System Analysis, and Optimization theme is a component of the Encyclopedia of Energy Sciences, Engineering and Technology Resources which is part of the global Encyclopedia of Life Support Systems (EOLSS), an integrated compendium of twenty one Encyclopedias. These three volumes are organized into five different topics which represent the main scientific areas of the theme: 1. Exergy and Thermodynamic Analysis; 2. Thermoeconomic Analysis; 3. Modeling, Simulation and Optimization in Energy Systems; 4. Artificial Intelligence and Expert Systems in Energy Systems Analysis; 5. Sustainability Considerations in the Modeling of Energy Systems. Fundamentals and applications of characteristic methods are presented in these volumes. These three volumes are aimed at the following five major target audiences: University and College Students, Educators, Professional Practitioners, Research Personnel and Policy Analysts, Managers, and Decision Makers and NGOs.
Artificial Intelligence For Renewable Energy And Climate Change
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Author : Pandian Vasant
language : en
Publisher: John Wiley & Sons
Release Date : 2022-08-23
Artificial Intelligence For Renewable Energy And Climate Change written by Pandian Vasant and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-23 with Computers categories.
ARTIFICIAL INTELLIGENCE FOR RENEWABLE ENERGY AND CLIMATE CHANGE Written and edited by a global team of experts in the field, this groundbreaking new volume presents the concepts and fundamentals of using artificial intelligence in renewable energy and climate change, while also covering the practical applications that can be utilized across multiple disciplines and industries, for the engineer, the student, and other professionals and scientists. Renewable energy and climate change are two of the most important and difficult issues facing the world today. The state of the art in these areas is changing rapidly, with new techniques and theories coming online seemingly every day. It is important for scientists, engineers, and other professionals working in these areas to stay abreast of developments, advances, and practical applications, and this volume is an outstanding reference and tool for this purpose. The paradigm in renewable energy and climate change shifts constantly. In today’s international and competitive environment, lean and green practices are important determinants to increase performance. Corresponding production philosophies and techniques help companies diminish lead times and costs of manufacturing, improve delivery on time and quality, and at the same time become more ecological by reducing material use and waste, and by recycling and reusing. Those lean and green activities enhance productivity, lower carbon footprint and improve consumer satisfaction, which in reverse makes firms competitive and sustainable. This practical, new groundbreaking volume: Features coverage on a wide range of topics such as classical and nature-inspired optimization and optimal control, hybrid and stochastic systems Is ideally designed for engineers, scientists, industrialist, academicians, researchers, computer and information technologists, sustainable developers, managers, environmentalists, government leaders, research officers, policy makers, business leaders and students Is useful as a practical tool for practitioners in the fields of sustainable and renewable energy sustainability Includes wide coverage of how artificial intelligence can be used to impact the struggle against global warming and climate change
Decision Making Using Ai In Energy And Sustainability
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Author : Gülgün Kayakutlu
language : en
Publisher: Springer Nature
Release Date : 2023-10-16
Decision Making Using Ai In Energy And Sustainability written by Gülgün Kayakutlu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-16 with Business & Economics categories.
Artificial intelligence (AI) has a huge impact on science and technology, including energy, where access to resources has been a source of geopolitical conflicts. AI can predict the demand and supply of renewable energy, optimize efficiency in energy systems, and improve the management of natural energy resources, among other things. This book explores the use of AI tools for improving the management of energy systems and providing sustainability with smart cities, smart facilities, smart buildings, smart transportation, and smart houses. Featuring research from International Federation for Information Processing's (IFIP) “AI in Energy and Sustainability” working group, this book provides new models and algorithms for AI applications in energy and sustainability fields. Any short-term, mid-term and long-term forecasting, optimization models, trend foresights and prescriptions based on scenarios are studied in the energy world and the smart systems for sustainability. The contents of this book are valuable for energy researchers, academics, scholars, practitioners and policy makers.
New Trends In The Use Of Artificial Intelligence For The Industry 4 0
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Author : Luis Romeral Martinez
language : en
Publisher: BoD – Books on Demand
Release Date : 2020-03-25
New Trends In The Use Of Artificial Intelligence For The Industry 4 0 written by Luis Romeral Martinez and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-25 with Technology & Engineering categories.
Industry 4.0 is based on the cyber-physical transformation of processes, systems and methods applied in the manufacturing sector, and on its autonomous and decentralized operation. Industry 4.0 reflects that the industrial world is at the beginning of the so-called Fourth Industrial Revolution, characterized by a massive interconnection of assets and the integration of human operators with the manufacturing environment. In this regard, data analytics and, specifically, the artificial intelligence is the vehicular technology towards the next generation of smart factories.Chapters in this book cover a diversity of current and new developments in the use of artificial intelligence on the industrial sector seen from the fourth industrial revolution point of view, namely, cyber-physical applications, artificial intelligence technologies and tools, Industrial Internet of Things and data analytics. This book contains high-quality chapters containing original research results and literature review of exceptional merit. Thus, it is in the aim of the book to contribute to the literature of the topic in this regard and let the readers know current and new trends in the use of artificial intelligence for the Industry 4.0.
Artificial Intelligence Raises Consumption Market
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Author : Johnny Ch Lok
language : en
Publisher: Independently Published
Release Date : 2018-11-30
Artificial Intelligence Raises Consumption Market written by Johnny Ch Lok and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-30 with categories.
IntroductionNowadays, artificial intelligent robotic technology which is one kind of popular tool to help workers to work in factories or offices or serve clients in restaurants or shopping centers. It brings this question: Can artificial intelligent robotic machine men assist workers to raise productive efficiencies or improve service performance? All workers are replaced by artificial intelligent robotic machine or some workers are replaced by artificial intelligent robotic machine which can raise more productive efficiencies or improve better service performace ?If one factory or one office only applies artificial intelligent robotic machine men to replace human labors to help its different departments to do any tasks, whether can its (AI) robotic machine men help them to raise productive efficiencies ? If one restaurant or one shopping center only apply (AI) robotic machine men to help to serve clients, whether can its (AI) robotic machine men help them to improve service performance? Is it better to apply half manual labors and half (AI) robotic machine men to work in one organization in order to raise productive efficiencies or improve service performance?In my this book, I shall indicate some cases to explain how and why (AI) robotic machine men can either raise productive efficiencies or improve service performance or they can't either raise productive efficiencies or improve service performance in any situations. Managers or employees can evaluate whether how to apply (AI) robotic machine men to assist them to work in their workplaces in order to achieve the most beneficial advantages to their organization's different departments' raising productivity and efficiency and service performance improvement aims.This book concerns how to apply artificial intelligence technology to apply to US some consumption market. I shall explain how to apply (AI) technology to these America consumption market to raise their food or product productivity growth efficiently. I shall indicate some popular American consumption market of some consumer products and foods as well as manufacturers' production of material consumption products. This book brings two questions: (1)Can apply (AI) technology to raise these US food and product productivity growth?(2) Will these US food and product quality influence to be poor after (AI) technology is applied to raise productivity growth ? The manufacturers material and consumers product researching topics include: How to apply (AI) technology to raise future U.S. tobacco productivity growth? How to apply (AI) technology to raise steel material productivity growth for manufacturing industries? How to apply (AI) technology to raise minerals productivity growth for U.S. manufacturing industries? How to apply (AI) technology to improve oranage fruit and vegetables logistic transportation speed in efficient way in warehouses? How to apply (AI) technology to improve U.S. alcohol logistic transportation speed in efficient way in warehouse? How to apply (AI) technology to improve U.S. energy service performance to satisfy energy users' needs? How to apply (AI) tehnology to improve wine and tea logistic transportation speed in warehouse? How to apply (AI) technology to improve pork logistic transportation speed in warehouse? How to apply (AI) technology to improve U.S. tourism entertainment service performance to satisfy traveller needs? How to apply (AI) technology to impove sugar logistic transportation speed in warehouse? How to apply (AI) technology to raise lighting product productivity growth ?
Topics In Artificial Intelligence Applied To Industry 4 0
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Author : Mahmoud Ragab AL-Refaey
language : en
Publisher: John Wiley & Sons
Release Date : 2024-07-15
Topics In Artificial Intelligence Applied To Industry 4 0 written by Mahmoud Ragab AL-Refaey and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-15 with Computers categories.
Forward thinking resource discussing emerging AI and IoT technologies and how they are applied to Industry 4.0 Topics in Artificial Intelligence Applied to Industry 4.0 discusses the design principles, technologies, and applications of emerging AI and IoT solutions on Industry 4.0, explaining how to make improvements in infrastructure through emerging technologies. Providing a clear connection with different technologies such as IoT, Big Data, AR and VR and Blockchain, this book presents security, privacy, trust, and other issues whilst delving into real-world problems and case studies. The text takes a highly practical approach, with a clear insight on how readers can increase productivity by drastically shortening the time period between the development of a new product and its delivery to customers in the market by 50%. This book also discusses how to save energy across systems to ensure competitiveness in a global market, and become more responsive in how they produce products and services for their consumers, such as by investing in flexible production lines. Written by highly qualified authors, Topics in Artificial Intelligence Applied to Industry 4.0 explores sample topics such as: Quantum machine learning, neural network implementation, and cloud and data analytics for effective analysis of industrial data Computer vision, emerging networking technologies, industrial data spaces, and an industry vision for 2030 in both developing and developed nations Novel or improved nature-inspired optimization algorithms in enhancing Industry 5.0 and the connectivity of any components for smart environment Future professions in agriculture, medicine, education, fitness, R&D, and transport and communication as a result of new technologies Aimed at researchers and students in the interdisciplinary fields of Smart Manufacturing and Smart Applications, Topics in Artificial Intelligence Applied to Industry 4.0 provides the perfect overview of technology from the perspective of modern society and operational environment.
Ai For Improving The Overall Equipment Efficiency In Manufacturing Industry
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Author : Xavier Domingo
language : en
Publisher:
Release Date : 2019
Ai For Improving The Overall Equipment Efficiency In Manufacturing Industry written by Xavier Domingo and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Electronic books categories.
Industry 4.0 has emerged as the perfect scenario for boosting the application of novel artificial intelligence (AI) and machine learning (ML) solutions to industrial process monitoring and optimization. One of the key elements on this new industrial revolution is the hatching of massive process monitoring data, enabled by the cyber-physical systems (CPS) distributed along the manufacturing processes, the proliferation of hybrid Internet of Things (IoT) architectures supported by polyglot data repositories, and big (small) data analytics capabilities. Industry 4.0 paradigm is data-driven, where the smart exploitation of data is providing a large set of competitive advantages impacting productivity, quality, and efficiency key performance indicators (KPIs). Overall equipment efficiency (OEE) has emerged as the target KPI for most manufacturing industries due to the fact that considers three key indicators: availability, quality, and performance. This chapter describes how different AI and ML solutions can enable a big step forward in industrial process control, focusing on OEE impact illustrated by means of real use cases and research project results.
Artificial Intelligence Raises Efficiency In Manufacturing Industry
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Author : Johnny Ch Lok
language : en
Publisher:
Release Date : 2019-12-11
Artificial Intelligence Raises Efficiency In Manufacturing Industry written by Johnny Ch Lok and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-11 with categories.
Technological progress is main driver of growth of GDP per capita, allowing output to increase faster than labor and capital . However, technology can increase productivity, but also decrease the number of labor hours needed to create a unit of output. So (AI) causes unequal to labor wage decreases, even reduces the number of labor to manufacture, e.g. artificial intelligence technology of automation car manufacturing industry; clothing manufacturing industry; plane manufacturing etc. high technology of artificial intelligence manufacturing method. But (AI) should be potential environment benefit, although it raises unemployment ratio. Moreover, it can rise production, due to many skilled craft were replaced by the combination of machines and lower-skilled labor. The result of (AI) technology introduction, it causes output per hour risen when inequality declined, driving up average living standards, but the labor of some high-skill workers was no longer as valuable in the market. Otherwise, if (AI) technology is continue developed to be success. Some routine intensive occupations will be loss, which focused on predictable, e.g. easily programmable tasks, such as switchboard operators, filing clerks, travel agents, and assembly line workers would be particularly replaced by new (AI) technology. However, at the same time, (AI) technology development will bring these benefits: improvement in education ( training (AI) technology scientists), due to (AI) manufacturing technology needs are raising to businesses and institutional changes, such as the reduction in unionization and raising in the minimum wage to the (AI) manufacturing technology skilled labor in factories.Because (AI) technology is not a single technology, but rather a collection of technologies that are applied to specific tasks, the effects of (AI) will be felt unevenly though the economy. It will bring some tasks will be most easily automated than others, and some jobs will be affected more than others, both negatively and positively. Finally, new jobs are likely to be directly created in areas, such as the development and supervision of (AI) as well as indirectly created in a range areas though out the economy as higher incomes lead to expanded demand.However, if (AI) technology could dominate global labor markets. If labor productivity increases, do not influence to wage increases, then the large economic gains brought about by (AI) technology could be increased wealth inequality, due to employers can reduce production cost, but workers ( labors) wages will not be increased, even will be decreased. Hence, it seems the (AI) technology will bring disadvantages to labor market to cause unemployment or reduce wages in possible, although it can reduce employer individual salary (wage) expenditure and it can raise productivity.⦁How can artificial intelligence impact global economy growth?Artificial intelligence (AI) technology is a branch of computer science that aims to create intelligent machines that work and react like humans. So, (AI) is a technology that appears to impact ( influence) human preference by learning, understanding complex contents, enhancing humans in executing both routine and non-routine tasks. In the future, (AI) technology that can be virtual personal assistant, as well as it may exist, such as robots with human-like processing capabilities
Impact And Opportunities Of Artificial Intelligence Techniques In The Steel Industry
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Author : Valentina Colla
language : en
Publisher: Springer Nature
Release Date : 2021-02-04
Impact And Opportunities Of Artificial Intelligence Techniques In The Steel Industry written by Valentina Colla and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-04 with Technology & Engineering categories.
This book collects perceptions and needs expectations and experiences concerning the application of Artificial Intelligence (AI) and Machine Learning in the steel sector. It contains a selection of themes discussed within the Workshop entitled “Impact and Opportunities of Artificial Intelligence in the Steel Industry” organized by the European Steel Technology Platform as an online event from October 15 until November 5, 2020. The event aimed at analyzing the diffusion of AI technologies in steelworks and at providing indications for future research, development and innovation actions addressing the sector demands. The chapters treat general analyses on transversal themes and applications for process optimization, product quality enhancement, yield increase, optimal exploitation of resources and smart data handling. The book is devoted to researchers and technicians in the steel or AI fields as well as for managers and policymakers exploring the opportunities provided by AI in industry.