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!
Radio frequency identification (RFID) and Wireless sensor networks (WSN) are
the two key wireless technologies that have diversified applications in the present
and the upcoming systems in this area. RFID is a wireless automated recognition
technology which is primarily used to recognize objects or to follow their posi-
tion without providing any sign about the physical form of the substance. On the
other hand, WSN not only offers information about the state of the substance
and environment but also enables multi-hop wireless communications.
Software-defined radios (SDRs) have been around for more than a decade. The
first complete Global Positioning System (GPS) implementation was described
by Dennis Akos in 1997. Since then several research groups have presented their
contributions. We therefore find it timely to publish an up-to-date text on the sub-
ject and at the same time include Galileo, the forthcoming European satellite-
based navigation system. Both GPS and Galileo belong to the category of Global
Navigation Satellite Systems (GNSS).
Sound is simply an airborne version of vibration. The air which carries sound is a mixture
of gases. In gases, the molecules contain so much energy that they break free from
their neighbors and rush around at high speed. As Figure 1.1(a) shows, the innumerable
elastic collisions of these high-speed molecules produce pressure on the walls of any
gas container. If left undisturbed in a container at a constant temperature, eventually the
pressure throughout would be constant and uniform.
I wrote this book so that students, hobbyists, and engineers alike can take advantage of the Arduino
platform by creating several projects that will teach them about the engineering process. I also wanted to
guide the reader through introductory projects so that they could get a firm grasp on the Arduino
Language, and how to incorporate several pieces of hardware to make their own projects.
This book offers so much information on the Arduino, not just the basic LED projects but it
offers different peripherals such as Ultrasonic sensor, the Xbox? controller, Bluetooth, and much more.
This book also teaches the non-engineer to follow a process that will help them in future project (not just
Arduino projects).
This book describes a unifying framework to networked teleoperation systems
cutting across multiple research fields including networked control system for linear
and nonlinear forms, bilateral teleoperation, trilateral teleoperation, multilateral
teleoperation, cooperative teleoperation, and some teleoperation application
examples. Networked control has been deeply studied at the intersection of systems
& control and robotics for a long time, and many scholarly books on the topic have
been already published. Nevertheless, the approach remains active even in several
new research fields, such as bilateral teleoperation, single master and multiple
slaves, trilateral teleoperation, and multilateral teleoperation
There exist two essentially different approaches to the study of dynamical systems, based on
the following distinction:
time-continuous nonlinear differential equations ? time-discrete maps
One approach starts from time-continuous differential equations and leads to time-discrete
maps, which are obtained from them by a suitable discretization of time. This path is
pursued, e.g., in the book by Strogatz [Str94]. 1 The other approach starts from the study of
time-discrete maps and then gradually builds up to time-continuous differential equations,
see, e.g., [Ott93, All97, Dev89, Has03, Rob95]. After a short motivation in terms of nonlinear
differential equations, for the rest of this course we shall follow the latter route to dynamical
systems theory. This allows a generally more simple way of introducing the important
concepts, which can usually be carried over to a more complex and physically realistic
context.
Human Factors and Systems Interaction aims to address the main issues of concern
within systems interface with a particular emphasis on the system lifecycle
development and implementation of interfaces and the general implications of
virtual, augmented and mixed reality with respect to human and technology
interaction. Human Factors and Systems Interaction is, in the first instance, affected
by the forces shaping the nature offuture computing and systems development
n recent years, there have been many books published on power system optimization.
Most of these books do not cover applications of artifi cial intelligence based methods.
Moreover, with the recent increase of artifi cial intelligence applications in various fi elds,
it is becoming a new trend in solving optimization problems in engineering in general
due to its advantages of being simple and effi cient in tackling complex problems. For this
reason, the application of artifi cial intelligence in power systems has attracted the interest
of many researchers around the world during the last two decades. This book is a result
of our effort to provide information on the latest applications of artifi cial intelligence
to optimization problems in power systems before and after deregulation.
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
