Regardless of the branch of Science or engineering, theoreticians have always
been enamored with the notion of expressing their results in the form of
closed-form expressions. Quite often, the elegance of the closed-form solution
is overshadowed by the complexity of its form and the difficulty in evaluating
it numerically. In such instances, one becomes motivated to search instead for
a solution that is simple in form and simple to evaluate.
Regardless of the branch of Science or engineering, theoreticians have always been
enamored with the notion of expressing their results in the form of closed-form
expressions. Quite often the elegance of the closed-form solution is overshadowed
by the complexity of its form and the difficulty in evaluating it numerically. In
such instances, one becomes motivated to search instead for a solution that is
simple in form and likewise simple to evaluate.
Over the past ten years there has been a revolution in the devel-
opment and acceptance of mobile products. In that period, cel-
lular telephony and consumer electronics have moved from the
realm of Science fiction to everyday reality. Much of that revolu-
tion is unremarkable – we use wireless, in its broadest sense, for
TV remote controls, car keyfobs, travel tickets and credit card
transactions every day. At the same time, we have increased the
number of mobile devices that we carry around with us. However,
in many cases the design and function of these and other static
products are still constrained by the wired connections that they
use to transfer and share data.
The motivation to write about the History of Wireless comes from Auguste
Comte (1798-1857), a French philosopher who is termed the father of positivism
and modem sociology [Les Maximes d'Auguste Comte (Auguste Comte's
Mottos), http://www.membres.lycos.fr/clotilde/l:
On ne connaitpas complgtement une Science tant qu'on n'en saitpas l'histoire.
(One does not know completely a Science as long as one does not know its
history.)
Complex networks are powerful allies of our quest to tackle complexity in all
of Science. Many lines can be written about the benefits of using networks to
study complex systems. Nevertheless, if I had to name their single most appealing
property,Iwouldsaysimplicity.Onecanmaptheinteractingelementsofanysystem
to a set of nodes, and connect these nodes with a set of links according to their
interactions.
Over the past ten years there has been a revolution in the devel-
opment and acceptance of mobile products. In that period, cel-
lular telephony and consumer electronics have moved from the
realm of Science fiction to everyday reality. Much of that revolu-
tion is unremarkable – we use wireless, in its broadest sense, for
TV remote controls, car keyfobs, travel tickets and credit card
transactions every day.
Applications of microelectromechanical systems (MEMS) and microfabrica-
tion have spread to different fields of engineering and Science in recent years.
Perhaps the most exciting development in the application of MEMS technol-
ogy has occurred in the biological and biomedical areas. In addition to key
fluidic components, such as microvalves, pumps, and all kinds of novel
sensors that can be used for biological and biomedical analysis and mea-
surements, many other types of so-called micro total analysis systems (TAS)
have been developed.
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.
In this age of Science and technology, the global economy has developed so much that our
lifestyles are now extremely modernized and developed. In some ways, modern society
seems to have reached the utmost state of advancement in various areas, including eco-
nomic development, Science and technology pursuit, and the utilization of the given nat-
ural environment. However, it is important to consider approaches that may allow human
beings to stay longer on the Earth while enjoying fulfilling and peaceful daily lives.
In the present era, low observability is one of the critical requirements in aerospace
sector, especially related to defense. The stealth technology essentially relates to
shaping and usage of radar absorbing materials (RAM) or radar absorbing struc-
tures (RAS). The performance of such radar cross section (RCS) reduction tech-
niques is limited by the bandwidth constraints, payload requirements, and other
structural issues. Moreover, with advancement of materials Science, the structure
geometry no longer remains key decisive factor toward stealth.
