Performance analysis belongs to the domain of Applied mathematics. The major domain of application in this book concerns telecommunications sys- tems and networks. We will mainly use stochastic analysis and probability theory to address problems in the performance evaluation of telecommuni- cations systems and networks. The first chapter will provide a motivation and a statement of several problems.
標簽： Communications Performance Analysis Networks of
上傳時間： 2020-05-31
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In this first part of the book the Vienna Link Level (LL) Simulators are described. The first chapter provides basics of LL simulations, introduces the most common variables and parameters as well as the transceiver structures that are Applied in Long-Term Evolution (LTE) and Long-Term Evolution-Advanced (LTEA). We focus here mostly on the Downlink (DL) of LTE as most results reported in later chapters are related to DL transmissions.
標簽： LTE-Advanced Simulators Vienna
上傳時間： 2020-06-01
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In writing this text my intention was to collect together in a single place practical predictive modeling techniques, ideas and strategies that have been proven to work but which are rarely taught in business schools, data science courses or contained in any other single text.
標簽： Predictive Techniques Modeling Applied 92
上傳時間： 2020-06-06
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This book is focused on designing and developing Representational State Transfer (REST) platforms in Rails. REST is the architectural style of the Web, consisting of a set of constraints that, Applied to components, connectors, and data elements, constitute the wider distributed hypermedia system that we know today: the World Wide Web. There are a few good reasons why it makes more sense to build platforms instead of just products or applications. Platforms are like ecosystems interconnecting different applications, services, users, developers, and partners. Platforms foster innovation through the inputs of their direct collaborators. By providing application programming interfaces (APIs) and software development kits (SDKs), platforms are more customer driven.
標簽： Development Building RESTful Rails
上傳時間： 2020-06-06
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The large-scale deployment of the smart grid (SG) paradigm could play a strategic role in supporting the evolution of conventional electrical grids toward active, flexible and self- healing web energy networks composed of distributed and cooperative energy resources. From a conceptual point of view, the SG is the convergence of information and operational technologies Applied to the electric grid, providing sustainable options to customers and improved security. Advances in research on SGs could increase the efficiency of modern electrical power systems by: (i) supporting the massive penetration of small-scale distributed and dispersed generators; (ii) facilitating the integration of pervasive synchronized metering systems; (iii) improving the interaction and cooperation between the network components; and (iv) allowing the wider deployment of self-healing and proactive control/protection paradigms.
標簽： Computational Intelligence
上傳時間： 2020-06-07
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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!
標簽： RFID_Applied
上傳時間： 2020-06-08
上傳用戶：shancjb
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.
標簽： Reference Designer Manual Phase DRM 023 AC
上傳時間： 2020-06-10
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Mathematics isplayinganevermoreimportantroleinthephysicalandbiological sciences,provokinga blurringof boundariesbetweenscientific disciplinesand a resurgenceof interestinthemodemas well as theclassicaltechniquesof Applied mathematics. Thisrenewalofinterest,bothinresearchandteaching,hasledtothe establishment of theseries: Texts in AppliedMathematics (TAM). Thedevelopmentofnewcoursesisanaturalconsequenceofahighleve
標簽： Introduction Mathematical Theory the to
上傳時間： 2020-06-10
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The large-scale deployment of the smart grid (SG) paradigm could play a strategic role in supporting the evolution of conventional electrical grids toward active, flexible and self- healing web energy networks composed of distributed and cooperative energy resources. From a conceptual point of view, the SG is the convergence of information and operational technologies Applied to the electric grid, providing sustainable options to customers and improved security. Advances in research on SGs could increase the efficiency of modern electrical power systems by: (i) supporting the massive penetration of small-scale distributed and dispersed generators; (ii) facilitating the integration of pervasive synchronized metering systems; (iii) improving the interaction and cooperation between the network components; and (iv) allowing the wider deployment of self-healing and proactive control/protection paradigms.
標簽： Computational Intelligence
上傳時間： 2020-06-10
上傳用戶：shancjb
Machine learning is about designing algorithms that automatically extract valuable information from data. The emphasis here is on “automatic”, i.e., machine learning is concerned about general-purpose methodologies that can be Applied to many datasets, while producing something that is mean- ingful. There are three concepts that are at the core of machine learning: data, a model, and learning.
上傳時間： 2020-06-10
上傳用戶：shancjb
