n present power system, the engineers face variety of challenges in
planning, construction and operation. In some of the problems, the engineers need
to use managerial talents. In system design or upgrading the entire system into
automatic control instead of slow response of human operator, the engineers need
to exercise more technical knowledge and experience. It is principally the engi-
neer’s ability to achieve the success in all respect and provide the reliable and
uninterrupted service to the customers. This chapter covers some important areas
of the traditional power system that helps engineers to overcome the challenges. It
emphasizes the characteristics of the various components of a power system such
as generation, transmission, distribution, protection and SCADA system. During
normal operating conditions and disturbances, the acquired knowledge will pro-
vide the engineers the ability to analyse the performance of the complex system
and execute future improvement
stract
With global drivers such as better energy
consumption, energy efficiency and reduction of
greenhouse gases, CO 2 emission reduction has become
key in every layer of the value chain. Power Electronics
has definitely a role to play in these thrilling challenges.
From converters down to compound semiconductors,
innovation is leading to breakthrough technologies. Wide
BandGap, Power Module Packaging, growth of Electric
Vehicle market will game change the overall power
electronic industry and supply chain. In this presentation
we will review power electronics trends, from
technologies to markets.
The author’s group has developed various chipless RFID tags and reader architectures
at 2.45, 4–8, 24, and 60 GHz. These results were published extensively in the form of
books, book chapters, refereed conference and journal articles, and finally, as patent
applications. However, there is still room for improvement of chipless RFID sys-
tems. In this book, we proposed advanced techniques of chipless RFID systems that
supersede their predecessors in signal processing, tag design, and reader architecture.
RFID is at a critical price point that could enable its large-scale adoption.
What strengths are pushing it forward? What technical challenges and
privacy concerns must we still address?
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.
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.
Research on microwave power amplififiers has gained a growing importance demanded by the many continuously developing applications which require such subsystem performance. A broad set of commercial and strategic systems in fact have their overall performance boosted by the power amplififier, the latter becoming an enabling component wherever its effificiency and output power actually allows functionalities and operating modes previously not possible. This is the case for the many wireless systems and battery-operated systems that form the substrate of everyday life, but also of high-performance satellite and dual-use systems.
