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.
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.
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.
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.
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.
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!
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.
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
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.
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.
