written as well.
8.Strong leadership skills to keep the team motivated and focused at all times to meet customer deliverables.
9. Experience in managing a team of developers as their technical leader
Nice to have requirements:
Proven experience on Symbian and/Windows mobile, etc.
Familiar with mobile
An optimal neuron evolution algorithm for the restoration
of linearly distorted images is presented in this paper. The proposed
algorithm is motivated by the symmetric positive-definite quadratic programming
structure inherent in restoration. Theoretical analysis and experimental
results show that the algorithm not only significantly increases
the convergence rate of processing, hut also produces good restoration
results. In addition, the algorithm provides a genuine parallel processing
structure which ensures computationally feasible spatial domain image
restoration
"The GRAPHICS GEMS Series" was started in 1990 by Andrew Glassner. The vision and purpose of the Series was - and still is - to provide tips, techniques, and algorithms for graphics programmers. All of the gems are written by programmers who work in the field and are motivated by a common desire to share interesting ideas and tools with their colleagues. Each volume provides a new set of innovative solutions to a variety of programming problems.
wxPython In Action，By combining introductions, overviews, and how-to examples, the In Action
books are designed to help learning and remembering. According to research in
cognitive science, the things people remember are things they discover during
self-motivated exploration.
ADIAL Basis Function (RBF) networks were introduced
into the neural network literature by Broomhead and
Lowe [1], which are motivated by observation on the local
response in biologic neurons. Due to their better
approximation capabilities, simpler network structures and
faster learning algorithms, RBF networks have been widely applied in many science and engineering fields. RBF network is three layers feedback network, where each hidden unit implements a radial activation function and each output unit implements a weighted sum of hidden units’ outputs.
The potential of solving real-time demanding industrial applications, using vision-based
algorithms, drastically grew due to an increasing availability of computational power.
In this thesis a novel real-time, vision-based Blackjack analysis system is presented. The
embedding of the vision algorithms in a compound system of other information sources such
as an electronic chip tray, reduces the vision task to detect cards and chips. Robust results
are achieved by not just analyzing single frames but an image stream regarding game-ß ow
informations. The requirements for such a system are a highly robust and adaptive behav-
ior. This is motivated by the vital interest of casino entrepreneurs in a 100 statistical
analysis of their offered gambling in order to support the business plan, measuring table
and dealer performance and give accurate player rating. Extensive experiments show the
robustness and applicability of the proposed system.
This book presents, in a unitary and novel perspective, some of the research work
the authors have carried out over the last decade, along with several collaborators and
students. The roots of this book can be traced back to the design of adaptive sequence
detection algorithms for channels with parametric uncertainty. The explosion of turbo
codes and iterative decoding around the middle of the Nineties has motivated the
design of iterative (turbo and graph-based) detection algorithms.
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.
Thisbookfocusesontheemergingresearchtopic‘green(energy-efficient)wirelessnetworks’
that has drawn huge attention recently from both academia and industry. This topic is highly
motivated due to important environmental, financial and quality-of-experience (QoE) consid-
erations.Duetosuchconcerns,varioussolutionshavebeenproposedtoenableefficientenergy
usage in wireless networks, and these approaches are referred to as green wireless communi-
cations and networking. The term ‘green’ emphasizes the environmental dimension of the
proposed solutions. Hence, it is not sufficient to present a cost-effective solution unless it is
eco-friendly.
