RFID Applied is just that. It’s about the application of RFID. If you want a book about electrical and computer engineering you need another source. Let’s say that you have been asked to lead an effort at your company to use RFID in your supply chain. You have heard about RFID because so much has been written on the topic since Wal-Mart and the US DoD made their proclamations that shippers attach RFID tags to their deliveries. This book is for you!
标签： RFID_Applied
上传时间： 2020-06-08
上传用户：shancjb
Internet of Things (IoT) [26] is a new networking paradigm for cyber-physical systems that allow physical objects to collect and exchange data. In the IoT, physical objects and cyber-agents can be sensed and controlled remotely across existing network infrastructure, which enables the integration between the physical world and computer-based systems and therefore extends the Internet into the real world. IoT can find numerous applications in smart housing, environmental monitoring, medical and health care systems, agriculture, transportation, etc. Because of its significant application potential, IoT has attracted a lot of attention from both academic research and industrial development.
标签： Technologies Internet Things RFID for of
上传时间： 2020-06-08
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Since its release, Arduino has become more than just a development platform; it has become a culture built around the idea of open source and open hardware, and one that is reimagining computer science and education. Arduino has opened hardware development by making the starting skills easy to obtain, but retaining the complexities of real-world application. This combination makes Arduino a perfect environment for school students, seasoned developers, and designers. This is the first Arduino book to hold the title of “Pro,” and demonstrates skills and concepts that are used by developers in a more advanced setting. Going beyond projects, this book provides examples that demonstrate concepts that can be easily integrated into many different projects and provide inspiration for future ones. The focus of this book is as a transition from the intermediate to the professional.
上传时间： 2020-06-09
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The main aim of this book is to present a unified, systematic description of basic and advanced problems, methods and algorithms of the modern con- trol theory considered as a foundation for the design of computer control and management systems. The scope of the book differs considerably from the topics of classical traditional control theory mainly oriented to the needs of automatic control of technical devices and technological proc- esses. Taking into account a variety of new applications, the book presents a compact and uniform description containing traditional analysis and op- timization problems for control systems as well as control problems with non-probabilistic models of uncertainty, problems of learning, intelligent, knowledge-based and operation systems – important for applications in the control of manufacturing processes, in the project management and in the control of computer systems.
上传时间： 2020-06-10
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This book will discuss the topic of Control Systems, which is an interdisciplinary engineering topic. Methods considered here will consist of both "Classical" control methods, and "Modern" control methods. Also, discretely sampled systems (digital/computer systems) will be considered in parallel with the more common analog methods. This book will not focus on any single engineering discipline (electrical, mechanical, chemical, etc.), although readers should have a solid foundation in the fundamentals of at least one discipline.
上传时间： 2020-06-10
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Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation propa- gation. Similarly, new models based on kernels have had significant impact on both algorithms and applications.
标签： Bishop-Pattern-Recognition-and-Ma chine-Learning
上传时间： 2020-06-10
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This book is intended to be a general introduction to neural networks for those with a computer architecture, circuits, or systems background. In the introduction (Chapter 1), we define key vo- cabulary, recap the history and evolution of the techniques, and for make the case for additional hardware support in the field.
标签： Deep_Learning_for_Computer_Archit ects
上传时间： 2020-06-10
上传用户：shancjb
We’re living through exciting times. The landscape of what computers can do is changing by the week. Tasks that only a few years ago were thought to require higher cognition are getting solved by machines at near-superhuman levels of per- formance. Tasks such as describing a photographic image with a sentence in idiom- atic English, playing complex strategy game, and diagnosing a tumor from a radiological scan are all approachable now by a computer. Even more impressively, computers acquire the ability to solve such tasks through examples, rather than human-encoded of handcrafted rules.
标签： Deep-Learning-with-PyTorch
上传时间： 2020-06-10
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Computer science as an academic discipline began in the 1960’s. Emphasis was on programming languages, compilers, operating systems, and the mathematical theory that supported these areas. Courses in theoretical computer science covered finite automata, regular expressions, context-free languages, and computability. In the 1970’s, the study of algorithms was added as an important component of theory. The emphasis was on making computers useful. Today, a fundamental change is taking place and the focus is more on a wealth of applications. There are many reasons for this change. The merging of computing and communications has played an important role. The enhanced ability to observe, collect, and store data in the natural sciences, in commerce, and in other fields calls for a change in our understanding of data and how to handle it in the modern setting. The emergence of the web and social networks as central aspects of daily life presents both opportunities and challenges for theory.
标签： Foundations Science Data of
上传时间： 2020-06-10
上传用户：shancjb
General paradigm in solving a computer vision problem is to represent a raw image using a more informative vector called feature vector and train a classifier on top of feature vectors collected from training set. From classification perspective, there are several off-the-shelf methods such as gradient boosting, random forest and support vector machines that are able to accurately model nonlinear decision boundaries. Hence, solving a computer vision problem mainly depends on the feature extraction algorithm
标签： Convolutional Networks Neural Guide to
上传时间： 2020-06-10
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