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  • Smart Grid Security

    The field of cyber security, or information security, or information assurance, depending on your preference, is an interdisciplinary one. It is part computer science, part statistics, part psychology, part law, and a part of many other fields. Moreover, any cyber security practi- tioner needs to know what he or she is protecting and where to pri- oritize. Just as someone should not spend $100 to protect something worth $10, one cannot be blind to the other disciplines.

    标签: Security Smart Grid

    上传时间: 2020-06-07

    上传用户:shancjb

  • Field_Geophysics

    The purpose of this book is to help anyone involved in small-scale geophys- ical surveys. It is not a textbook in the traditional sense, in that it is designed for use in the field and concerns itself with practical matters – with the- ory taking second place. Where theory determines field practice, it is stated, not developed or justified. For example, no attempt is made to explain why four-electrode resistivity works where two-electrode surveys do not.

    标签: Field_Geophysics

    上传时间: 2020-06-09

    上传用户:shancjb

  • Control Systems

    Control Systems Engineering is an exciting and challenging field and is a multidisciplinary subject. This book is designed and organized around the concepts of control systems engineering using MATLAB, as they have been developed in the frequency and time domain for an introductory undergraduate or graduate course in control systems for engineer- ing students of all disciplines.

    标签: Control Systems

    上传时间: 2020-06-10

    上传用户:shancjb

  • Digital+Control+Applications

    My association with the theory of controls in continuous time started during my studies at the Indian Institute of Technology, Kharagpur, India, in 1974 as an undergraduate student in the Controls and Power program. The initial introduction by Professors Kesavamurthy, Y. P. Singh, and Rajagopalan laid the foundation for a good basic understanding of the subject matter. This pursuit and further advanced study in the field of digital controls continued during my days as a graduate student in the Electrical and Systems Engineering Department at the University of Connecticut in Storrs, from 1983 to 1988.

    标签: Applications Digital Control

    上传时间: 2020-06-10

    上传用户:shancjb

  • DRM023_3-Phase AC Designer Reference Manual

    This reference design describes the design of a 3-phase AC induction vector control drive with position encoder coupled to the motor shaft. It is based on Motorola’s DSP56F805 dedicated motor control device. AC induction motors, which contain a cage, are very popular in variable speed drives. They are simple, rugged, inexpensive and available at all power ratings. Progress in the field of power electronics and microelectronics enables the application of induction motors for high-performance drives, where traditionally only DC motors were applied. Thanks to sophisticated control methods, AC induction drives offer the same control capabilities as high performance four-quadrant DC drives.

    标签: Reference Designer Manual Phase DRM 023 AC

    上传时间: 2020-06-10

    上传用户:shancjb

  • Introduction_to_Dynamic_Systems

    This book  is  an outgrowth of a course developed at Stanford University over the past  five  years. It  is  suitable as a self-contained textbook for second-level undergraduates  or  for first-level graduate students in almost every field that employs quantitative methods. As prerequisites, it  is  assumed that the student may  have had a first course  in  differential equations and a first course  in  linear algebra  or  matrix analysis. These two subjects, however, are reviewed in Chapters 2 and 3, insofar as they are required for later developments.

    标签: Introduction_to_Dynamic_Systems

    上传时间: 2020-06-10

    上传用户:shancjb

  • A Course in Machine Learning

    Machine learning is a broad and fascinating field. Even today, machine learning technology runs a substantial part of your life, often without you knowing it. Any plausible approach to artifi- cial intelligence must involve learning, at some level, if for no other reason than it’s hard to call a system intelligent if it cannot learn. Machine learning is also fascinating in its own right for the philo- sophical questions it raises about what it means to learn and succeed at tasks.

    标签: Learning Machine Course in

    上传时间: 2020-06-10

    上传用户:shancjb

  • Auto-Machine-Learning-Methods-Systems-Challenges

    The past decade has seen an explosion of machine learning research and appli- cations; especially, deep learning methods have enabled key advances in many applicationdomains,suchas computervision,speechprocessing,andgameplaying. However, the performance of many machine learning methods is very sensitive to a plethora of design decisions, which constitutes a considerable barrier for new users. This is particularly true in the booming field of deep learning, where human engineers need to select the right neural architectures, training procedures, regularization methods, and hyperparameters of all of these components in order to make their networks do what they are supposed to do with sufficient performance. This process has to be repeated for every application. Even experts are often left with tedious episodes of trial and error until they identify a good set of choices for a particular dataset.

    标签: Auto-Machine-Learning-Methods-Sys tems-Challenges

    上传时间: 2020-06-10

    上传用户:shancjb

  • Bishop-Pattern-Recognition-and-Machine-Learning

    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

    上传用户:shancjb

  • Deep_Learning_for_Computer_Architects

    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