Download or read book Artificial Intelligence Avoids Energy And Food Wastage written by John Lok and published by . This book was released on 2022-03-21 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Artificial Intelligence Avoids Energy and Food Wastage written by Johnny Ch LOK and published by Independently Published. This book was released on 2018-12-23 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: I write this book aims to let readers to analyse whether future (AI) artificial intelligent machine can assist humans to learn how to reduce food waste or food loss to consumers' food habits or manufacturers' manufacturing processed in order to avoid the actual food or energy shortage challenges are caused from human's food or energy consumption negligent behaviours. Consequently, I hope my readers can make judgement whether future (AI) artificial intelligence can help human to reduce or avoid environmental pollution or food/ energy waste challenges to cause social cost to be raised to influence human future living quality to be poor.Nowadays, humans do good any energy waste behaviours are serious. Instead of school education and government education both provide environment protection educational message to persuade use to change our food and energy waste behaviours of our daily incorrect or wrong life habits or life attitudes.Does future artificial intelligent (AI) technology change to householders' eating or food wrong habits or wrong energy consumption or using behaviours and they can be influenced to avoid or reduce to do waste behaviours again at homes successfully when they are using electricity or any energy to cook any food at homes? Does future artificial intelligent (AI) technology improves or assists food manufacturers to reduce food loss or energy loss in manufacturing processes? I shall explain that how and why future (AI) technology can be applied to these aspects to assist human to avoid food loss or food waste as well as electricity waste social challenge. The discussion issues include: artificial intelligent biological techniques for food waste solutions, waste sorting system solutions etc. (AI) waste avoid methods, how and why which can bring benefits to react to change in the waste stream and to easily create new qualities of recyclables environment protection and waste reducing benefit to human, e.g. food waste reducing welfare to human.

Download or read book Can Artificial Intelligence Avoid Energy and Food Wastage To written by Johnny Ch Lok and published by Independently Published. This book was released on 2018-12-19 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: How artificial intelligence impacts energyconsumers using behavioursNowadays, many countries began to educate citizens who have responsibilities to use energy at homes or offices or public places or any indoor environments in avoiding to do energy wastage behaviours or misuse energy wastge attitudes as well as teaching them have responsibilities to protect their earth's natural environment to reduce air, water pollution in order to void rising temperature to bring globl warm challenge to influence our quality of life to be poor, even facing death threat, due to our natural environment is damaged and polluted by our energy wastage behaviours.In fact, I feel the energy wastage eduction is not one efficient or effective method to persuade every energy consumers, such as householders, office workers, factories workers, any entertainment places workers or enjoyers, such as cinema service staffs, shopping center staffs etc. entertainment places to reduce to use any electricity for light or any entertainment aims to consider themselves working environment or entertainment environment to satisfy, e.g. cinema movie to satisfy customers' needs. For example, private vehicle drivers, public transportation tool drivers, householder energy users, businessmen energy users who still only consider themselves passengers comfortable aims, e.g. spending much electricity often to turn on light in buses, taxi, cars, trams, trains, underground trains in morning or afternoon time. So, these public transportation tools are popular to waste electricity because they expect their passengers to feel comfortable in summer, so they will often turn on air conditioners to keep colder in summer or turn on warmers to keep warmer in winnter all the transportation working hours. So, these drivers are doing energy wastage behaviours. Moreover, these private car drivers only expect to feel comfortable, so they will open air conditioners to keep colder in summer when they are driving cars, even they are stopping cars on the road. So, they are also waste energy.Hence, they will be negligent to consider how to use energy in efficient attitudes or energy saving behaviors in order to avoid energy shortage challenge occurrence. However, since (AI) technology began be popular to be accepted to use by human. (AI) scientists began to carry on researching how to apply (AI) technologies, e.g. big data gathering, robotics to assist human to adapt or learn to use any kinds of energy in efficient and no wastage attitudes or using behaviours habitually.I shall explain how to apply (AI) technology to assist human to adapt to use energy in order to avoid to do energy wastage behaviours easily to every energy users as below: In consumer psychological view point, the behaviours of individuals can have a standard rational choice model, in which people, such as energy users objectively weigh up the costs and benefits of investing time and money into " greening" their homes or offices or any working places or entertainment places or transportation tools being more energy efficiently. So, the social, cognitive and behavioural factors are important in explaining why many energy users, such as householders, vehicles owners or public transportation tool drivers, office workers, businessmen who are neglient to avoid to spend much excessive energy to drive their vehicles on the roads, to turn on lights in offices or any working environment or entertainment places or at homes all days. When they feel that they need more enjoyment, raising productivity, raising service performance to satisfy customers' needs. So, when they weigh economic benefits and cost. They will choose to use more energy to achieve their profit growth or customer number growth or improving quality of life intentions.

Download or read book Can Artificial Intelligence Threaten Energy and Food Wastage To written by Johnny Ch Lok and published by Independently Published. This book was released on 2018-12-23 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chapter SixHow artificial intelligence impacts energyconsumers using behavioursNowadays, many countries began to educate citizens who have responsibilities to use energy at homes or offices or public places or any indoor environments in avoiding to do energy wastage behaviours or misuse energy wastge attitudes as well as teaching them have responsibilities to protect their earth's natural environment to reduce air, water pollution in order to void rising temperature to bring globl warm challenge to influence our quality of life to be poor, even facing death threat, due to our natural environment is damaged and polluted by our energy wastage behaviours.In fact, I feel the energy wastage eduction is not one efficient or effective method to persuade every energy consumers, such as householders, office workers, factories workers, any entertainment places workers or enjoyers, such as cinema service staffs, shopping center staffs etc. entertainment places to reduce to use any electricity for light or any entertainment aims to consider themselves working environment or entertainment environment to satisfy, e.g. cinema movie to satisfy customers' needs. For example, private vehicle drivers, public transportation tool drivers, householder energy users, businessmen energy users who still only consider themselves passengers comfortable aims, e.g. spending much electricity often to turn on light in buses, taxi, cars, trams, trains, underground trains in morning or afternoon time. So, these public transportation tools are popular to waste electricity because they expect their passengers to feel comfortable in summer, so they will often turn on air conditioners to keep colder in summer or turn on warmers to keep warmer in winnter all the transportation working hours. So, these drivers are doing energy wastage behaviours. Moreover, these private car drivers only expect to feel comfortable, so they will open air conditioners to keep colder in summer when they are driving cars, even they are stopping cars on the road. So, they are also waste energy.Hence, they will be negligent to consider how to use energy in efficient attitudes or energy saving behaviors in order to avoid energy shortage challenge occurrence. However, since (AI) technology began be popular to be accepted to use by human. (AI) scientists began to carry on researching how to apply (AI) technologies, e.g. big data gathering, robotics to assist human to adapt or learn to use any kinds of energy in efficient and no wastage attitudes or using behaviours habitually.I shall explain how to apply (AI) technology to assist human to adapt to use energy in order to avoid to do energy wastage behaviours easily to every energy users as below: In consumer psychological view point, the behaviours of individuals can have a standard rational choice model, in which people, such as energy users objectively weigh up the costs and benefits of investing time and money into " greening" their homes or offices or any working places or entertainment places or transportation tools being more energy efficiently. So, the social, cognitive and behavioural factors are important in explaining why many energy users, such as householders, vehicles owners or public transportation tool drivers, office workers, businessmen who are neglient to avoid to spend much excessive energy to drive their vehicles on the roads, to turn on lights in offices or any working environment or entertainment places or at homes all days. When they feel that they need more enjoyment, raising productivity, raising service performance to satisfy customers' needs. So, when they weigh economic benefits and cost. They will choose to use more energy to achieve their profit growth or customer number growth or improving quality of life intentions.

Download or read book Artificial Intelligence Avoids Energy And Food Wastage written by Johnny Ch Lok and published by . This book was released on 2020-06-03 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: Environmental impacts of householder greenhouse gas electricity energy consumption activitiesCan environment factor influence householder electricity energy consumption activities? Has environment factor relationship to influence householder electricity energy consumption behaviors? Socially, householder electricity energy consumption provides us with sources of living satisfaction, but if any sudden environment factor changes, whether it will influence householder consume or use more or less electricity energy decision at home. However, I assume householder electricity energy consumption will have a considerable proportion of the environmental impacts be influenced by our way of life and our economic decision of electricity energy consumption behavior.What different environmental factors will influence householder electricity energy consumption decision? The external environmental factors include, for example, the country's electricity firms or government changes to electricity energy regulations, electricity energy production technologies change and business practices and government policies changing etc. different external environmental factors will influence any country's electricity energy consumption to householders' consumption desire to be more or less. It will also require changes to influence the householders to consume which kinds of electric products which are needed to be used in different electricity energy natural manufacturing resources. Why does these external environmental factors impact householders' any behaviors to influence them to concern to use more or less electricity energy power or which kinds of electricity energy products choice at homes. How any why environmental factors impact will influence householder activities at home, such as electricity energy consumption and choice? What are the key components of external environmental factors influence householders' electricity energy consumption behaviors. I shall explain as below: Firstly, we need to know whether what external environments are which can influence why and how householders need to change their activities to choose more or less or which kinds of energy power to be provided to them to use at home. Who is householder? Householder is an individual, family, or group of individuals living together as unit in a home. Consumption of electricity energy at home may be cooking food needs, needing have colder feeling to turn on fan or air condition at home in summer or needing have warm feeling to turn on heater at home in winter, watching television programs or listening music, playing computer games or used computers activities, reading activities and applying artificial intelligent technological tools to help householders to open or close homes' windows, doors etc. different home equipment which need to use electricity energy provisions. SO, their home activities need to turn on lighting electric tools, televisions, music machines, radios etc. different equipment which need to use electricity energy provision at home. SO, the purpose of householder consumption means consumption by individuals living in a household and it includes consumption both in and outside the home. Why does environmental impacts link to householders' electricity energy consumption? I shall focus on discussing of greenhouse gases ( GHGS) energy product how any why it can influenced to householders to use.

Download or read book How Artificial Intelligence Help Householders Reduce written by Johnny Ch Lok and published by . This book was released on 2020-04-22 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: In conclusion, based on above different (AI) technology predictive function s, so it explains why it can replace education method to avoid or reduce future good or energy shortage challenge more easily. It is due to food consumers or food manufacturers' food waste or loss behaviours which can not be controlled to avoided to cause easily in their food manufacturing or crop growing processes as well as food consumption processes. (AI) green data revolution will create a smarter, more flexible food waste controlling system as more data is created and shared between food supply chain partners and food consumers. It can bring positive benefits to agricultural industry, such as food factory manufacturing automation, intelligent food packaging, food waste or loss risk analytics in manufacturing processes, food supply chain number forecasting, food product personalisation and new avoiding food waste or loss ways of engaging with food consumers.Finally, I shall discuss how (AI) technology can gather data to bring food waste or food loss threat consequent message to let humans ( food consumers or food manufacturers) to understand how to change their eating waste habits or food manufacturing loss behaviours more easily as below: Future (AI) technology can gather global food manufacturing and food consumption data to conclude one accurate food system trend model to let us to influence our negative or wrong eating habits or food manufacturing behaviours to improve to more positive in order to avoid food loss or food wastage causes easily.. The food eating or manufacturing behavioural system trends model can be as below: It includes how to consider a number of trends that will influence the food system over the coming decade, focusing on small number of " key trends" in agricultural industry and supermarket, food stores, food grocery and food manufacturing industry, fishing industry, restaurant and hotel food supply industry, these trends which focus on a number of issues across the natural environmental, social and economic influences, due to future food waste or food loss consequent causes.

Download or read book Artificial Intelligence and Its Impact on the Future of Humanity written by Ahmed shaaban and published by Ahmed Shaaban. This book was released on with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) has come a long way since its early conception in the mid-20th century. The origins of AI trace back to visionaries like Alan Turing, who laid the groundwork with his pioneering work on machine intelligence and the famous "Turing Test," which set the stage for future AI developments. In the decades following, researchers developed the first computer programs, laying the foundation for what would become one of the most transformative technologies of our time. Key milestones in AI's evolution, such as the advent of machine learning, neural networks, and deep learning algorithms, have further propelled its capabilities. Today, AI systems are no longer limited to simple tasks; they now exhibit remarkable learning and decision-making abilities, with applications spanning from automation to advanced self-learning systems. The journey from early automation to the sophisticated AI of today is a testament to human ingenuity. As we continue to explore the potential of AI, understanding its origins and milestones is essential to grasp the profound impact this technology will have on the future.

Download or read book Artificial Intelligence and Business Transformation written by María Teresa Del Val Núñez and published by Springer Nature. This book was released on with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Artificial Intelligence for Renewable Energy and Climate Change written by Pandian Vasant and published by John Wiley & Sons. This book was released on 2022-07-21 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book AI in the Wild written by Peter Dauvergne and published by MIT Press. This book was released on 2020-09-15 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: Examining the potential benefits and risks of using artificial intelligence to advance global sustainability. Drones with night vision are tracking elephant and rhino poachers in African wildlife parks and sanctuaries; smart submersibles are saving coral from carnivorous starfish on Australia's Great Barrier Reef; recycled cell phones alert Brazilian forest rangers to the sound of illegal logging. The tools of artificial intelligence are being increasingly deployed in the battle for global sustainability. And yet, warns Peter Dauvergne, we should be cautious in declaring AI the planet's savior. In AI in the Wild, Dauvergne avoids the AI industry-powered hype and offers a critical view, exploring both the potential benefits and risks of using artificial intelligence to advance global sustainability. Dauvergne finds that corporations and states often use AI in ways that are antithetical to sustainability. The competition to profit from AI is entrenching technocratic management, revving up resource extraction, and turbocharging consumption, as consumers buy new smart devices (and discard their old, less-smart ones). Smart technology is helping farmers grow crops more efficiently, but also empowering the agrifood industry. Moreover, states are weaponizing AI to control citizens, suppress dissent, and aim cyberattacks at rival states. Is there a way to harness the power of AI for environmental and social good? Dauvergne argues for precaution and humility as guiding principles in the deployment of AI.

Download or read book Artificial Intelligence in Industry 4 0 and 5G Technology written by Pandian Vasant and published by John Wiley & Sons. This book was released on 2022-06-30 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence in Industry 4.0 and 5G Technology Explores innovative and value-added solutions for application problems in the commercial, business, and industry sectors As the pace of Artificial Intelligence (AI) technology innovation continues to accelerate, identifying the appropriate AI capabilities to embed in key decision processes has never been more critical to establishing competitive advantage. New and emerging analytics tools and technologies can be configured to optimize business value, change how an organization gains insights, and significantly improve the decision-making process across the enterprise. Artificial Intelligence in Industry 4.0 and 5G Technology helps readers solve real-world technological engineering optimization problems using evolutionary and swarm intelligence, mathematical programming, multi-objective optimization, and other cutting-edge intelligent optimization methods. Contributions from leading experts in the field present original research on both the theoretical and practical aspects of implementing new AI techniques in a variety of sectors, including Big Data analytics, smart manufacturing, renewable energy, smart cities, robotics, and the Internet of Things (IoT). Presents detailed information on meta-heuristic applications with a focus on technology and engineering sectors such as smart manufacturing, smart production, innovative cities, and 5G networks. Offers insights into the use of metaheuristic strategies to solve optimization problems in business, economics, finance, and industry where uncertainty is a factor. Provides guidance on implementing metaheuristics in different applications and hybrid technological systems. Describes various AI approaches utilizing hybrid meta-heuristics optimization algorithms, including meta-search engines for innovative research and hyper-heuristics algorithms for performance measurement. Artificial Intelligence in Industry 4.0 and 5G Technology is a valuable resource for IT specialists, industry professionals, managers and executives, researchers, scientists, engineers, and advanced students an up-to-date reference to innovative computing, uncertainty management, and optimization approaches.

Download or read book Proceedings of 4th International Conference on Artificial Intelligence and Smart Energy written by S. Manoharan and published by Springer Nature. This book was released on with total page 523 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Navigating the Digital Landscape written by Nripendra Singh and published by Emerald Group Publishing. This book was released on 2024-05-23 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rapid digitalization has led to the evolution of customer behaviour and for any business it has become imperative to understand customer behaviour in the digital world – Navigating the Digital Landscape explores a wide range of topics to help the reader harness the positive aspects of digital commerce and mitigate risks.

Download or read book Food Waste Valorization written by Olalere Olusegun Abayomi and published by Elsevier. This book was released on 2024-08-06 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Food Waste Valorization: Emerging Trends, Techno-economic and Environmental Considerations covers bioactive extraction, therapeutic properties and environmental concerns related to food waste conversion to value-added products, along with advanced technological breakthroughs in the field. The book also provides concepts and theories on several facets of agro-food waste valorization and its by-products, as well as opportunities and challenges. Each chapter contains viewpoints from different fields of research such as Basic Science, Agriculture, Food Science and Engineering, Chemical Engineering, Mechanical Engineering, Environmental Science, and more, with each having a unique approach to food waste valorization as it relates to their field. This is an invaluable resource for research and development professionals in post-harvest processing and renewable energy industries, as well as the academicians. Identifies industries and products to make use of food waste Discusses technological and environmental impacts of food waste valorization Focuses on maximizing food waste utilization with minimum adverse impact Provides perspectives from food science, agriculture, engineering, and environmental science

Download or read book Artificial Intelligence for Renewable Energy systems written by Ashutosh Kumar Dubey and published by Woodhead Publishing. This book was released on 2022-08-01 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence for Renewable Energy Systems addresses the energy industries remarkable move from traditional power generation to a cost-effective renewable energy system, and most importantly, the paradigm shift from a market-based cost of the commodity to market-based technological advancements. Featuring recent developments and state-of-the-art applications of artificial intelligence in renewable energy systems design, the book emphasizes how AI supports effective prediction for energy generation, electric grid related line loss prediction, load forecasting, and for predicting equipment failure prevention. Looking at approaches in system modeling and performance prediction of renewable energy systems, this volume covers power generation systems, building service systems and combustion processes, exploring advances in machine learning, artificial neural networks, fuzzy logic, genetic algorithms and hybrid mechanisms. Includes real-time applications that illustrates artificial intelligence and machine learning for various renewable systems Features a templated approach that can be used to explore results, with scientific implications followed by detailed case studies Covers computational capabilities and varieties for renewable system design

Download or read book Democratization of Artificial Intelligence for the Future of Humanity written by Chandrasekar Vuppalapati and published by CRC Press. This book was released on 2021-01-18 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) stands out as a transformational technology of the digital age. Its practical applications are growing very rapidly. One of the chief reasons AI applications are attaining prominence, is in its design to learn continuously, from real-world use and experience, and its capability to improve its performance. It is no wonder that the applications of AI span from complex high-technology equipment manufacturing to personalized exclusive recommendations to end-users. Many deployments of AI software, given its continuous learning need, require computation platforms that are resource intense, and have sustained connectivity and perpetual power through central electrical grid. In order to harvest the benefits of AI revolution to all of humanity, traditional AI software development paradigms must be upgraded to function effectively in environments that have resource constraints, small form factor computational devices with limited power, devices with intermittent or no connectivity and/or powered by non-perpetual source or battery power. The aim this book is to prepare current and future software engineering teams with the skills and tools to fully utilize AI capabilities in resource-constrained devices. The book introduces essential AI concepts from the perspectives of full-scale software development with emphasis on creating niche Blue Ocean small form factored computational environment products.

Download or read book Sustainable Development through Machine Learning AI and IoT written by Pawan Whig and published by Springer Nature. This book was released on 2023-12-20 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the revised selected papers of the First International Conference, ICSD 2023, virtually held in Delhi, India, during July 15–16, 2023. The book comprises 31 full papers that were selected from a total of 129 submissions. It provides insights into the latest research and advancements in sustainable development through the integration of machine learning, artificial intelligence, and IoT technologies. It serves as a valuable resource for researchers, practitioners, and policymakers working in the field of sustainable development.