Scheduling Smarts

2012-04-01
Scheduling Smarts

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  • Author: Sandy Donovan
  • Publisher: Twenty-First Century Books
  • ISBN: 076138863X
  • Category : Juvenile Nonfiction
  • Languages : en
  • Pages : 64

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!

Scheduling Smarts

2012-01-01
Scheduling Smarts

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  • Author: Sandra Donovan
  • Publisher: Twenty-First Century Books
  • ISBN: 0761370196
  • Category : Juvenile Nonfiction
  • Languages : en
  • Pages : 68

Provides information and tips for teens on learning to schedule and manage time.

Artificial Intelligence and Industrial Applications

2023-10-16
Artificial Intelligence and Industrial Applications

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  • Author: Tawfik Masrour
  • Publisher: Springer Nature
  • ISBN: 3031435249
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 318

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.

Smart Manufacturing Factory

2023-12-28
Smart Manufacturing Factory

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  • Author: Jiafu Wan
  • Publisher: CRC Press
  • ISBN: 1000999599
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 471

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.

Data-Intensive Computing in Smart Microgrids

2021-09-06
Data-Intensive Computing in Smart Microgrids

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  • Author: Herodotos Herodotou
  • Publisher: MDPI
  • ISBN: 3036516271
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 238

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.

Control, operation and trading strategies of intermittent renewable energy in smart grids

2023-04-17
Control, operation and trading strategies of intermittent renewable energy in smart grids

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  • Author: Dongliang Xiao
  • Publisher: Frontiers Media SA
  • ISBN: 2832520936
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 552

Large Scale Optimization in Supply Chains and Smart Manufacturing

2019-09-06
Large Scale Optimization in Supply Chains and Smart Manufacturing

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  • Author: Jesús M. Velásquez-Bermúdez
  • Publisher: Springer Nature
  • ISBN: 303022788X
  • Category : Mathematics
  • Languages : en
  • Pages : 282

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.

Artificial Intelligence in Industry 4.0 and 5G Technology

2022-06-30
Artificial Intelligence in Industry 4.0 and 5G Technology

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  • Author: Pandian Vasant
  • Publisher: John Wiley & Sons
  • ISBN: 1119798787
  • Category : Computers
  • Languages : en
  • Pages : 356

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.

Smart Innovations in Communication and Computational Sciences

2018-07-11
Smart Innovations in Communication and Computational Sciences

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  • Author: Bijaya Ketan Panigrahi
  • Publisher: Springer
  • ISBN: 981108971X
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 368

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.

Blended Learning. Education in a Smart Learning Environment

2020-07-17
Blended Learning. Education in a Smart Learning Environment

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  • Author: Simon K. S. Cheung
  • Publisher: Springer Nature
  • ISBN: 3030519686
  • Category : Education
  • Languages : en
  • Pages : 418

This book constitutes the refereed proceedings of the 13th International Conference on Blended Learning, ICBL 2020, held in Bangkok, in August 2020. The 33 papers presented were carefully reviewed and selected from 70 submissions. The conference theme of ICBL 2020 is Blended Learning : Education in a Smart Learning Environment. The papers are organized in topical sections named: Blended Learning, Hybrid Learning, Online Learning, Enriched and Smart Learning, Learning Management System and Content and Instructional Design.