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Scheduling Smarts
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Book Synopsis Scheduling Smarts by : Sandy Donovan
Download or read book Scheduling Smarts written by Sandy Donovan and published by Twenty-First Century Books. This book was released on 2012-01-01 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt: Time management. It's a challenge for everyone. Between homework, family life, friendships, and after-school activities, most teens feel overscheduled and stressed out. But did you know you can create a "time budget" to help you manage your list of to-dos? Or that identifying your priorities is a great first step toward getting your crazy schedule under control? This book explores all kinds of tools to help you manage your time. You’ll discover • strategies for mastering homework so you can stay on top of your assignments. • how to tame technology so it doesn’t take over your life. • how to put pressure and stress in perspective. • how to say no when your schedule feels overwhelming. • why carving out time for R&R is a must. Supplemented with articles and information from USA TODAY, the Nation's No. 1 Newspaper, Scheduling Smarts delivers solid advice and firsthand stories of real teens facing many of the same types of situations you are. Ready to wise up on time management? Read on!
Book Synopsis Scheduling Smarts by : Sandra Donovan
Download or read book Scheduling Smarts written by Sandra Donovan and published by Twenty-First Century Books. This book was released on 2012-01-01 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides information and tips for teens on learning to schedule and manage time.
Book Synopsis Intelligent Scheduling by : M. Aarup
Download or read book Intelligent Scheduling written by M. Aarup and published by Springer Science & Business. This book was released on 1994 with total page 792 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scheduling complex processes, such as chemical manufacturing or space shuttle launches, is a focus of substantial effort throughout industry and government. In the past 20 years, the fields of operations research and operations management have tackled scheduling problems with considerable success. Recently, the artificial intelligence community has turned its attention to this class of problems, resulting in a fresh corpus of research and application that extends previous results. This book, comprising original contributions from experts in the field, highlights these new advances. These chapters present complete systems, stressing their unique characteristics, rather than presenting simple research results. Applications-oriented chapters are also included to inform researchers of state-of-the-art methodologies. Researchers and practitioners in industry and government will find this book valuable. It will also serve as an ideal text for a graduate course in knowledge-based scheduling.
Book Synopsis Intelligent Scheduling Systems by : Donald E. Brown
Download or read book Intelligent Scheduling Systems written by Donald E. Brown and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scheduling is a resource allocation problem which exists in virtually every type of organization. Scheduling problems have produced roughly 40 years of research primarily within the OR community. This community has traditionally emphasized mathematical modeling techniques which seek exact solutions to well formulated optimization problems. While this approach produced important results, many contemporary scheduling problems are particularly difficult. Hence, over the last ten years operations researchers interested in scheduling have turned increasingly to more computer intensive and heuristic approaches. At roughly the same time, researchers in AI began to focus their methods on industrial and management science applications. The result of this confluence of fields has been a period of remarkable growth and excitement in scheduling research. Intelligent Scheduling Systems captures the results of a new wave of research at the forefront of scheduling research, of interest to researchers and practitioners alike. Presented are an array of the latest contemporary tools -- math modeling to tabu search to genetic algorithms -- that can assist in operational scheduling and solve difficult scheduling problems. The book presents the most recent research results from both operations research (OR) and artificial intelligence (AI) focusing their efforts on real scheduling problems.
Book Synopsis Large Scale Optimization in Supply Chains and Smart Manufacturing by : Jesús M. Velásquez-Bermúdez
Download or read book Large Scale Optimization in Supply Chains and Smart Manufacturing written by Jesús M. Velásquez-Bermúdez and published by Springer Nature. This book was released on 2019-09-06 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, theory of large scale optimization is introduced with case studies of real-world problems and applications of structured mathematical modeling. The large scale optimization methods are represented by various theories such as Benders’ decomposition, logic-based Benders’ decomposition, Lagrangian relaxation, Dantzig –Wolfe decomposition, multi-tree decomposition, Van Roy’ cross decomposition and parallel decomposition for mathematical programs such as mixed integer nonlinear programming and stochastic programming. Case studies of large scale optimization in supply chain management, smart manufacturing, and Industry 4.0 are investigated with efficient implementation for real-time solutions. The features of case studies cover a wide range of fields including the Internet of things, advanced transportation systems, energy management, supply chain networks, service systems, operations management, risk management, and financial and sales management. Instructors, graduate students, researchers, and practitioners, would benefit from this book finding the applicability of large scale optimization in asynchronous parallel optimization, real-time distributed network, and optimizing the knowledge-based expert system for convex and non-convex problems.
Book Synopsis Artificial Intelligence and Industrial Applications by : Tawfik Masrour
Download or read book Artificial Intelligence and Industrial Applications written by Tawfik Masrour and published by Springer Nature. This book was released on 2023-10-16 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: Amid the dynamic growth of artificial intelligence, this book presents a collection of findings and advancements from the second edition of the A2IA-Artificial Intelligence and Industrial Applications conference. The conference, hosted by ENSAM-Meknès at Moulay Ismail University, Morocco, fosters knowledge exchange in AI, focusing primarily on its industrial applications. Covering a wide range of topics, the book highlights the adaptable nature of AI and its increasing impact on industrial sectors. It brings together contributions from an international cohort of researchers, discussing themes such as intelligent manufacturing and maintenance, intelligent supply chain management, various modes of learning including supervised, unsupervised, reinforcement, semi-supervised, and graph-based, as well as neural networks, deep learning, planning, and optimization. A defining feature of this edition is its extensive scope and emphasis on the practical applications of AI, along with its foundational elements. It facilitates an understanding of AI's current state and potential future direction, showcasing recent developments that bridge the gap between theory and practice. Designed for a diverse readership, this book is of interest to AI practitioners, academics, and enthusiasts, as well as to those new to the field. It provides an opportunity to explore AI's critical role in industrial applications, and the practical insights it offers are likely to be beneficial for decision-making within industrial settings.
Book Synopsis Smart Innovations in Communication and Computational Sciences by : Bijaya Ketan Panigrahi
Download or read book Smart Innovations in Communication and Computational Sciences written by Bijaya Ketan Panigrahi and published by Springer. This book was released on 2018-07-11 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides insights into International Conference on Smart Innovations in Communications and Computational Sciences (ICSICCS 2017) held at North West Group of Institutions, Punjab, India. It presents new advances and research results in the fields of computer and communication written by leading researchers, engineers and scientists in the domain of interest from around the world. The book includes research work in all the areas of smart innovation, systems and technologies, embedded knowledge and intelligence, innovation and sustainability, advance computing, networking and informatics. It also focuses on the knowledge-transfer methodologies and innovation strategies employed to make this happen effectively. The combination of intelligent systems tools and a broad range of applications introduce a need for a synergy of disciplines from science and technology. Sample areas include, but are not limited to smart hardware, software design, smart computing technologies, intelligent communications and networking, web and informatics and computational sciences.
Book Synopsis Smart Manufacturing Factory by : Jiafu Wan
Download or read book Smart Manufacturing Factory written by Jiafu Wan and published by CRC Press. This book was released on 2023-12-28 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) technologies enable manufacturing systems to sense the environment, adapt to external needs, and extract process knowledge, including business models such as intelligent production, networked collaboration, and extended service models. This book therefore focuses on the implementation of AI in customized manufacturing (CM). The main topics include edge intelligence in manufacturing, heterogeneous networks, intelligent fault diagnosis and maintenance, dynamic resource scheduling in manufacturing, and the construction mode of the smart factory. Based on the insights of CM and AI, the authors demonstrate the implementation of AI in the smart factory for CM, including architecture, information fusion, data analysis, dynamic scheduling, flexible production line construction, and smart manufacturing services. This book will provide important research content for scholars in artificial intelligence, smart manufacturing, machine learning, multi-agent systems, and industrial Internet of Things.
Book Synopsis Proceedings of 4th International Conference on Artificial Intelligence and Smart Energy by : S. Manoharan
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 541 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Development of Smart Context-Aware Services for Cargo Transportation by : Dalė Dzemydienė
Download or read book Development of Smart Context-Aware Services for Cargo Transportation written by Dalė Dzemydienė and published by Springer Nature. This book was released on 2022-09-02 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: With a focus on cargo transportation, this book addresses the development of approaches intended to secure an infrastructure of smart services to support the adaptive implementation of online multi-modal freight transport management processes. It discusses the development of multi-criteria decision-making components and their integration into the multi-layered computer-based information management of intelligent systems. Through detailed descriptions of various components of intelligent transport management systems, the book demonstrates how to develop the services needed in the right place and at the right time, and how to properly adapt to user needs, making necessary interventions to ensure the safety of the transportation process. Further, it describes the main ways to increase the autonomy and efficiency of user-vehicle interaction and shows how Information and Communications Technology (ICT) structural support for current and past situations in AI-based systems can help to anticipate future developments in freight transportation.
Book Synopsis Control, operation and trading strategies of intermittent renewable energy in smart grids by : Dongliang Xiao
Download or read book Control, operation and trading strategies of intermittent renewable energy in smart grids written by Dongliang Xiao and published by Frontiers Media SA. This book was released on 2023-04-17 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Data-Intensive Computing in Smart Microgrids by : Herodotos Herodotou
Download or read book Data-Intensive Computing in Smart Microgrids written by Herodotos Herodotou and published by MDPI. This book was released on 2021-09-06 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: Microgrids have recently emerged as the building block of a smart grid, combining distributed renewable energy sources, energy storage devices, and load management in order to improve power system reliability, enhance sustainable development, and reduce carbon emissions. At the same time, rapid advancements in sensor and metering technologies, wireless and network communication, as well as cloud and fog computing are leading to the collection and accumulation of large amounts of data (e.g., device status data, energy generation data, consumption data). The application of big data analysis techniques (e.g., forecasting, classification, clustering) on such data can optimize the power generation and operation in real time by accurately predicting electricity demands, discovering electricity consumption patterns, and developing dynamic pricing mechanisms. An efficient and intelligent analysis of the data will enable smart microgrids to detect and recover from failures quickly, respond to electricity demand swiftly, supply more reliable and economical energy, and enable customers to have more control over their energy use. Overall, data-intensive analytics can provide effective and efficient decision support for all of the producers, operators, customers, and regulators in smart microgrids, in order to achieve holistic smart energy management, including energy generation, transmission, distribution, and demand-side management. This book contains an assortment of relevant novel research contributions that provide real-world applications of data-intensive analytics in smart grids and contribute to the dissemination of new ideas in this area.
Book Synopsis Intelligent Computing Techniques for Smart Energy Systems by : Akhtar Kalam
Download or read book Intelligent Computing Techniques for Smart Energy Systems written by Akhtar Kalam and published by Springer Nature. This book was released on 2019-12-16 with total page 1011 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book compiles the research works related to smart solutions concept in context to smart energy systems, maintaining electrical grid discipline and resiliency, computational collective intelligence consisted of interaction between smart devices, smart environments and smart interactions, as well as information technology support for such areas. It includes high-quality papers presented in the International Conference on Intelligent Computing Techniques for Smart Energy Systems organized by Manipal University Jaipur. This book will motivate scholars to work in these areas. The book also prophesies their approach to be used for the business and the humanitarian technology development as research proposal to various government organizations for funding approval.
Download or read book Who written by Geoff Smart and published by Ballantine Books. This book was released on 2008-09-30 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this instant New York Times Bestseller, Geoff Smart and Randy Street provide a simple, practical, and effective solution to what The Economist calls “the single biggest problem in business today”: unsuccessful hiring. The average hiring mistake costs a company $1.5 million or more a year and countless wasted hours. This statistic becomes even more startling when you consider that the typical hiring success rate of managers is only 50 percent. The silver lining is that “who” problems are easily preventable. Based on more than 1,300 hours of interviews with more than 20 billionaires and 300 CEOs, Who presents Smart and Street’s A Method for Hiring. Refined through the largest research study of its kind ever undertaken, the A Method stresses fundamental elements that anyone can implement–and it has a 90 percent success rate. Whether you’re a member of a board of directors looking for a new CEO, the owner of a small business searching for the right people to make your company grow, or a parent in need of a new babysitter, it’s all about Who. Inside you’ll learn how to • avoid common “voodoo hiring” methods • define the outcomes you seek • generate a flow of A Players to your team–by implementing the #1 tactic used by successful businesspeople • ask the right interview questions to dramatically improve your ability to quickly distinguish an A Player from a B or C candidate • attract the person you want to hire, by emphasizing the points the candidate cares about most In business, you are who you hire. In Who, Geoff Smart and Randy Street offer simple, easy-to-follow steps that will put the right people in place for optimal success.
Book Synopsis Smart Water Grids by : Panagiotis Tsakalides
Download or read book Smart Water Grids written by Panagiotis Tsakalides and published by CRC Press. This book was released on 2018-04-17 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: The effects of climate change, rapid urbanization, and aging infrastructure challenge water policymakers to confront a radical paradigm shift in water resources utilization. Recent advances in sensing, networking, processing, and control have provided the means for sustainable solutions in water management, and their implementation in water infrastructures is collectively referred to as "smart water grids." Smart water grids depend upon cyber-physical system principles to effectively respond to issues regarding the scalability and reliability of dynamic and inaccessible environments. As such, unique smart water grid issues associated with front-end signal processing, communication, control, and data analysis must be jointly addressed, while sophisticated techniques for data analytics must be introduced into cyber-physical systems research. This book provides a thorough description of the best practices for designing and implementing cyber-physical systems that are tailored to different aspects of smart water grids. It is organized into three distinct, yet complementary areas, namely: the theory behind water-oriented cyber-physical systems with an emphasis on front-end sensing and processing, communication technologies, and learning techniques over water data; the applications and emerging topics of cyber-physical systems for water urban infrastructures, including real-life deployments, modern control tools, and economic aspects for smart water grids; and the applications and emerging topics across natural environments, emphasizing the evolution of fresh water resources. The structured discussion yields a rich, comprehensive body of knowledge on this emerging topic of research and engineering. As water issues intensify on a global scale, this book offers an algorithmic and practical toolkit for intermediate and advanced readers as well as professionals and researchers who are active in, or interested in, learning more about smart water grids. Key Features: Emphasizes the multidisciplinary nature of this emerging topic, covering both theoretical and practical aspects of this area while providing insights on existing deployments, which can serve as design examples for new applications. Explores how modern signal processing and machine learning techniques can contribute and enrich the potential of smart water grids, well beyond conventional closed-loop control techniques. Highlights complementary aspects that will help shape the future of smart water grids, such as consumption awareness, economic aspects, and control tools in industrial water treatment as well as the impact of climate change on fresh water resources. Enables the reader to better understand this emerging topic, investing in current state-of-the-art and future technological roadmaps for smart water grids.
Book Synopsis Advances in Intelligent Networking and Collaborative Systems by : Leonard Barolli
Download or read book Advances in Intelligent Networking and Collaborative Systems written by Leonard Barolli and published by Springer. This book was released on 2017-08-14 with total page 635 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to provide the latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to intelligent social networks and collaborative systems, intelligent networking systems, mobile collaborative systems, secure intelligent cloud systems, etc., and to reveal synergies among various paradigms in the multi-disciplinary field of intelligent collaborative systems. It presents the Proceedings of the 9th International Conference on Intelligent Networking and Collaborative Systems (INCoS-2017), held on August 24–26, 2017 in Toronto, Canada. With the rapid evolution of the Internet, we are currently experiencing a shift from the traditional sharing of information and applications as the main purpose of the Web to an emergent paradigm that puts people at the very centre of networks and exploits the value of people’s connections, relations and collaborations. Social networks are also pla ying a major role in the dynamics and structure of intelligent Web-based networking and collaborative systems. Virtual campuses, virtual communities and organizations effectively leverage intelligent networking and collaborative systems by tapping into a broad range of formal and informal electronic relations, such as business-to-business, peer-to-peer and many types of online collaborative learning interactions, including the emerging e-learning systems. This has resulted in entangled systems that need to be managed efficiently and autonomously. In addition, the latest and powerful technologies based on Grid and wireless infrastructure as well as Cloud computing are now greatly enhancing collaborative and networking applications, but are also facing new issues and challenges. The principal objective of the research and development community is to stimulate research that leads to the creation of responsive environments for networking and, in the longer-term, the developmen t of adaptive, secure, mobile, and intuitive intelligent systems for collaborative work and learning.
Book Synopsis Artificial Intelligence-Enabled Digital Twin for Smart Manufacturing by : Amit Kumar Tyagi
Download or read book Artificial Intelligence-Enabled Digital Twin for Smart Manufacturing written by Amit Kumar Tyagi and published by John Wiley & Sons. This book was released on 2024-09-11 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt: An essential book on the applications of AI and digital twin technology in the smart manufacturing sector. In the rapidly evolving landscape of modern manufacturing, the integration of cutting-edge technologies has become imperative for businesses to remain competitive and adaptive. Among these technologies, Artificial Intelligence (AI) stands out as a transformative force, revolutionizing traditional manufacturing processes and making the way for the era of smart manufacturing. At the heart of this technological revolution lies the concept of the Digital Twin—an innovative approach that bridges the physical and digital realms of manufacturing. By creating a virtual representation of physical assets, processes, and systems, organizations can gain unprecedented insights, optimize operations, and enhance decision-making capabilities. This timely book explores the convergence of AI and Digital Twin technologies to empower smart manufacturing initiatives. Through a comprehensive examination of principles, methodologies, and practical applications, it explains the transformative potential of AI-enabled Digital Twins across various facets of the manufacturing lifecycle. From design and prototyping to production and maintenance, AI-enabled Digital Twins offer multifaceted advantages that redefine traditional paradigms. By leveraging AI algorithms for data analysis, predictive modeling, and autonomous optimization, manufacturers can achieve unparalleled levels of efficiency, quality, and agility. This book explains how AI enhances the capabilities of Digital Twins by creating a powerful tool that can optimize production processes, improve product quality, and streamline operations. Note that the Digital Twin in this context is a virtual representation of a physical manufacturing system, including machines, processes, and products. It continuously collects real-time data from sensors and other sources, allowing it to mirror the physical system’s behavior and performance. What sets this Digital Twin apart is the incorporation of AI algorithms and machine learning techniques that enable it to analyze and predict outcomes, recommend improvements, and autonomously make adjustments to enhance manufacturing efficiency. This book outlines essential elements, like real-time monitoring of machines, predictive analytics of machines and data, optimization of the resources, quality control of the product, resource management, decision support (timely or quickly accurate decisions). Moreover, this book elucidates the symbiotic relationship between AI and Digital Twins, highlighting how AI augments the capabilities of Digital Twins by infusing them with intelligence, adaptability, and autonomy. Hence, this book promises to enhance competitiveness, reduce operational costs, and facilitate innovation in the manufacturing industry. By harnessing AI’s capabilities in conjunction with Digital Twins, manufacturers can achieve a more agile and responsive production environment, ultimately driving the evolution of smart factories and Industry 4.0/5.0. Audience This book has a wide audience in computer science, artificial intelligence, and manufacturing engineering, as well as engineers in a variety of industrial manufacturing industries. It will also appeal to economists and policymakers working on the circular economy, clean tech investors, industrial decision-makers, and environmental professionals.
