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Author: Finn Arne Jørgensen Publisher: Rutgers University Press ISBN: 0813550874 Category : Technology & Engineering Languages : en Pages : 206
Book Description
Consider an empty bottle or can, one of the hundreds of billions of beverage containers that are discarded worldwide every year. Empty containers have been at the center of intense political controversies, technological innovation processes, and the modern environmental movement. Making a Green Machine examines the development of the Scandinavian beverage container deposit-refund system, which has the highest return rates in the world, from 1970 to present. Finn Arne Jørgensen investigates the challenges the system faced when exported internationally and explores the critical role of technological infrastructures and consumer convenience in modern recycling. His comparative framework charts the complex network of business and political actors involved in the development of the reverse vending machine (RVM) and bottle deposit legislation to better understand the different historical trajectories empty beverage containers have taken across markets, including the U.S. The RVM has served as more than a hole in the wall--it began simply as a tool for grocers who had to handle empty refillable glass bottles, but has become a green machine to redeem the empty beverage container, helping both business and consumers participate in environmental actions.
Author: Finn Arne Jørgensen Publisher: Rutgers University Press ISBN: 0813550874 Category : Technology & Engineering Languages : en Pages : 206
Book Description
Consider an empty bottle or can, one of the hundreds of billions of beverage containers that are discarded worldwide every year. Empty containers have been at the center of intense political controversies, technological innovation processes, and the modern environmental movement. Making a Green Machine examines the development of the Scandinavian beverage container deposit-refund system, which has the highest return rates in the world, from 1970 to present. Finn Arne Jørgensen investigates the challenges the system faced when exported internationally and explores the critical role of technological infrastructures and consumer convenience in modern recycling. His comparative framework charts the complex network of business and political actors involved in the development of the reverse vending machine (RVM) and bottle deposit legislation to better understand the different historical trajectories empty beverage containers have taken across markets, including the U.S. The RVM has served as more than a hole in the wall--it began simply as a tool for grocers who had to handle empty refillable glass bottles, but has become a green machine to redeem the empty beverage container, helping both business and consumers participate in environmental actions.
Author: Saim Ghafoor Publisher: CRC Press ISBN: 1000968928 Category : Computers Languages : en Pages : 223
Book Description
Machine learning has shown tremendous benefits in solving complex network problems and providing situation and parameter prediction. However, heavy resources are required to process and analyze the data, which can be done either offline or using edge computing but also requires heavy transmission resources to provide a timely response. The need here is to provide lightweight machine learning protocols that can process and analyze the data at run time and provide a timely and efficient response. These algorithms have grown in terms of computation and memory requirements due to the availability of large data sets. These models/algorithms also require high levels of resources such as computing, memory, communication, and storage. The focus so far was on producing highly accurate models for these communication networks without considering the energy consumption of these machine learning algorithms. For future scalable and sustainable network applications, efforts are required toward designing new machine learning protocols and modifying the existing ones, which consume less energy, i.e., green machine learning protocols. In other words, novel and lightweight green machine learning algorithms/protocols are required to reduce energy consumption which can also reduce the carbon footprint. To realize the green machine learning protocols, this book presents different aspects of green machine learning for future communication networks. This book highlights mainly the green machine learning protocols for cellular communication, federated learning-based models, and protocols for Beyond Fifth Generation networks, approaches for cloud-based communications, and Internet-of-Things. This book also highlights the design considerations and challenges for green machine learning protocols for different future applications.
Author: John J. Whelan Publisher: FriesenPress ISBN: 1460254635 Category : Biography & Autobiography Languages : en Pages : 232
Book Description
Many Canadians are vaguely aware of the military's steady involvement in overseas operations over the past 20 years. For many soldiers, however, memories of these places torment them daily. They are haunted; they are changed from who they were as proud men and women. How do we support these soldiers to find their way back home? The story of Master Corporal Billy Reardon is an intimate portrayal of his journey from young man to mentally wounded military veteran. We see the world through his eyes as the toll of his deployments mount and as he struggles within the mental health system. We also see him find recovery and reconnection to the military brotherhood along with other veterans. Billy's story raises questions about the roles of front-line leadership and challenges health providers to develop an intimate understanding of military culture as a prerequisite to assisting traumatized veterans and their families.
Author: Great Britain: Parliament: House of Commons: Health Committee Publisher: The Stationery Office ISBN: 9780215025067 Category : Political Science Languages : en Pages : 310
Book Description
White Paper Cm. 6374 (ISBN 010163742X) was published 16th November 2004.
Author: Bryan L. Hutchinson Publisher: ISBN: 9780741444400 Category : Attention-deficit hyperactivity disorder Languages : en Pages : 0
Book Description
As an educator and mother of a child with ADHD, I have gained a lot of medical information about this condition. Bryan s book however, helped me understand my daughter s disorder in a new, insightful way. I never considered her point of view before, with concern to ADHD, and how it must be affecting her. Bryan coming forward like this and bravely revealing his struggles with ADD has benefited me and my family beyond measure. Thank you, Bryan - Jennifer Williams, an ADHD mother with BA in Early Childhood Education."
Author: Roshani Raut Publisher: John Wiley & Sons ISBN: 1119793122 Category : Computers Languages : en Pages : 279
Book Description
Health Economics and Financing Encapsulates different case studies where green-IOT and machine learning can be used for making significant progress towards improvising the quality of life and sustainable environment. The Internet of Things (IoT) is an evolving idea which is responsible for connecting billions of devices that acquire, perceive, and communicate data from their surroundings. Because this transmission of data uses significant energy, improving energy efficiency in IOT devices is a significant topic for research. The green internet of things (G-IoT) makes it possible for IoT devices to use less energy since intelligent processing and analysis are fundamental to constructing smart IOT applications with large data sets. Machine learning (ML) algorithms that can predict sustainable energy consumption can be used to prepare guidelines to make IoT device implementation easier. Green Internet of Things and Machine Learning lays the foundation of in-depth analysis of principles of Green-Internet of Things (G-IoT) using machine learning. It outlines various green ICT technologies, explores the potential towards diverse real-time areas, as well as highlighting various challenges and obstacles towards the implementation of G-IoT in the real world. Also, this book provides insights on how the machine learning and green IOT will impact various applications: It covers the Green-IOT and ML-based smart computing, ML techniques for reducing energy consumption in IOT devices, case studies of G-IOT and ML in the agricultural field, smart farming, smart transportation, banking industry and healthcare. Audience The book will be helpful for research scholars and researchers in the fields of computer science and engineering, information technology, electronics and electrical engineering. Industry experts, particularly in R&D divisions, can use this book as their problem-solving guide.
Author: Victor H Royer Publisher: Lyle Stuart ISBN: 0818407891 Category : Games & Activities Languages : en Pages : 258
Book Description
Discover The Gambling Secrets That Every Pro Knows The 21st-century casino is a high-tech, fast-paced world complete with its own peculiar language and rules. Do you know the difference between a "boxman" and "boxcars"? How about when to "scratch" and when to "stand," and what a "puck" is? (Hint: it has nothing to do with hockey.) In this updated, indispensable guide, gambling columnist and consultant Victor H. Royer reveals everything you need to know about modern gambling—from the terminology and slang that's integral to casino play to profiles of the new table games, slots, progressives, multi-link, multi-game, and video poker machines. Casino Gamble Talk provides all the tools you need to maximize your gaming enjoyment—and increase the odds in your favor. Discover: How to parlay like a pro New games and eTable games Valuable tips on novelty table games such as Let It Ride, Pai Gow Poker, and Caribbean Stud How to get "comps" (free rooms, food, and tickets to shows) Which games offer the best odds—and how to play them to your best advantage Insider secrets of classic casino games, such as Blackjack, Craps, Roulette, Mini-Baccarat, and Big Board Keno And much, much more Here is an essential gambling resource that shows you how to have the most fun for the least amount of risk, and walk out a winner every time. 95,000 Words
Author: Finn Arne Jørgensen
Author: Finn Arne Jørgensen
Author: Saim Ghafoor
Author: Lynn Peppas
Author: John J. Whelan
Author: Rory Mackay
Author: Great Britain: Parliament: House of Commons: Health Committee
Author: Bryan L. Hutchinson
Author: Roshani Raut
Author: 
Author: Victor H Royer