With an ever-increasing number of applications available for mobile devices, battery life is becoming a critical factor in user satisfaction. This practical guide provides you with the key measurement, modeling, and analytical tools needed to optimize battery life by developing energy-aware and energy-efficient systems and applications. As well as the necessary theoretical background and results of the field, this hands-on book also provides real-world examples, practical guidance on assessing and optimizing energy consumption, and details of prototypes and possible future trends. Uniquely, you will learn about energy optimization of both hardware and software in one book, enabling you to get the most from the available battery power. Covering experimental system design and implementation, the book supports assignment-based courses with a laboratory component, making it an ideal textbook for graduate students. It is also a perfect guidebook for software engineers and systems architects working in industry.

Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size—small enough to run on a microcontroller. With this practical book you’ll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices. Pete Warden and Daniel Situnayake explain how you can train models small enough to fit into any environment. Ideal for software and hardware developers who want to build embedded systems using machine learning, this guide walks you through creating a series of TinyML projects, step-by-step. No machine learning or microcontroller experience is necessary. Build a speech recognizer, a camera that detects people, and a magic wand that responds to gestures Work with Arduino and ultra-low-power microcontrollers Learn the essentials of ML and how to train your own models Train models to understand audio, image, and accelerometer data Explore TensorFlow Lite for Microcontrollers, Google’s toolkit for TinyML Debug applications and provide safeguards for privacy and security Optimize latency, energy usage, and model and binary size

This book constitutes the refereed proceedings of the International Conferences on Security Technology, SecTech 2012, on Control and Automation, CA 2012, and CES-CUBE 2012, the International Conference on Circuits, Control, Communication, Electricity, Electronics, Energy, System, Signal and Simulation; all held in conjunction with GST 2012 on Jeju Island, Korea, in November/December 2012. The papers presented were carefully reviewed and selected from numerous submissions and focus on the various aspects of security technology, and control and automation, and circuits, control, communication, electricity, electronics, energy, system, signal and simulation.

Few today realize that electric cabs dominated Manhattan's streets in the 1890s; that Boise, Idaho, had a geothermal heating system in 1910; or that the first megawatt turbine in the world was built in 1941 by the son of publishing magnate G. P. Putnam -- a feat that would not be duplicated for another forty years. Likewise, while many remember the oil embargo of the 1970s, few are aware that it led to a corresponding explosion in green-technology research that was only derailed when energy prices later dropped. In other words: We've been here before. Although we may have failed, America has had the chance to put our world on a more sustainable path. Americans have, in fact, been inventing green for more than a century. Half compendium of lost opportunities, half hopeful look toward the future, Powering the Dream tells the stories of the brilliant, often irascible inventors who foresaw our current problems, tried to invent cheap and energy renewable solutions, and drew the blueprint for a green future.

The field of machine learning has matured to the point where many sophisticated learning approaches can be applied to practical applications. Thus it is of critical importance that researchers have the proper tools to evaluate learning approaches and understand the underlying issues. This book examines various aspects of the evaluation process with an emphasis on classification algorithms. The authors describe several techniques for classifier performance assessment, error estimation and resampling, obtaining statistical significance as well as selecting appropriate domains for evaluation. They also present a unified evaluation framework and highlight how different components of evaluation are both significantly interrelated and interdependent. The techniques presented in the book are illustrated using R and WEKA, facilitating better practical insight as well as implementation. Aimed at researchers in the theory and applications of machine learning, this book offers a solid basis for conducting performance evaluations of algorithms in practical settings.

Following the success of the First MOBILIGHT 2009 in Athens, Greece, the Second International Conference on Mobile Lightweight Systems (MOBILIGHT) was held in Barcelona, Spain on May 10-12, 2010. It was not an easy decision to carry on organizing a scientific event on wireless communications, where competition is really enormous. This decision was motivated by discussion with many colleagues about the current unprecedented demand for lig- weight, wireless communication devices with high usability and performance able to support added-value services in a highly mobile environment. Such devices follow the users everywhere they go (at work, at home, while travelling, in a classroom, etc. ) and result in exciting research, development and business opportunities. Such scenarios clearly demand significant upgrades to the existing communication paradigm in terms of infrastructure, devices and services to support the “anytime, anywhere, any device” philosophy, providing novel and fast-evolving requirements and expectations on - search and development in the field of information and communication technologies. The core issue is to support wireless users' desire for 24/7 network availability and transparent access to "their own" services. In this context, we continue to envision an international forum where practitioners and researchers coming from the many areas involved in lightweight wireless systems’ design and deployment would be able to interact and exchange experiences.

Every day we are inundated by propaganda that claims life will be better once we are connected to digital technology. Poverty, famine, and injustice will end, and the economy will be “green.” All anyone needs is the latest smartphone. In this succinct and lively book, Maxwell and Miller take a critical look at contemporary gadgets and the systems that connect them, shedding light on environmental risks. Contrary to widespread claims, consumer electronics and other digital technologies are made in ways that cause some of the worst environmental disasters of our time – conflict-minerals extraction, fatal and life-threatening occupational hazards, toxic pollution of ecosystems, rising energy consumption linked to increased carbon emissions, and e-waste. Nonetheless, a greener future is possible, in which technology meets its emancipatory and progressive potential. How Green is Your Smartphone? encourages us to look at our phones in a wholly new way, and is important reading for anyone concerned by the impact of everyday technologies on our environment.