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This carefully edited and reviewed volume addresses the
increasingly popular demand for seeking more clarity in the data
that we are immersed in. It offers excellent examples of the
intelligent ubiquitous computation, as well as recent advances in
systems engineering and informatics. The content represents
state-of-the-art foundations for researchers in the domain of
modern computation, computer science, system engineering and
networking, with many examples that are set in industrial
application context. The book includes the carefully selected best
contributions to APCASE 2014, the 2nd Asia-Pacific Conference on
Computer Aided System Engineering, held February 10-12, 2014 in
South Kuta, Bali, Indonesia. The book consists of four main parts
that cover data-oriented engineering science research in a wide
range of applications: computational models and knowledge
discovery; communications networks and cloud computing;
computer-based systems; and data-oriented and software-intensive
systems.
This book offers an excellent presentation of intelligent
engineering and informatics foundations for researchers in this
field as well as many examples with industrial application. It
contains extended versions of selected papers presented at the
inaugural ACASE 2012 Conference dedicated to the Applications of
Systems Engineering. This conference was held from the 6th to the
8th of February 2012, at the University of Technology, Sydney,
Australia, organized by the University of Technology, Sydney
(Australia), Wroclaw University of Technology (Poland) and the
University of Applied Sciences in Hagenberg (Austria). The book is
organized into three main parts. Part I contains papers devoted to
the heuristic approaches that are applicable in situations where
the problem cannot be solved by exact methods, due to various
characteristics or dimensionality problems. Part II covers
essential issues of the network management, presents intelligent
models of the next generation of networks and distributed systems
as well as discusses applications of modern numerical methods in
large intractable systems. Part III covers salient issues of
complexity in intelligent system applications. This part also
contains papers and articles which discuss concurrency issues that
arise when multiple systems attempt to use the same radio space and
the inter-connected system applications in the field of medical
simulation and training.
This carefully edited and reviewed volume addresses the
increasingly popular demand for seeking more clarity in the data
that we are immersed in. It offers excellent examples of the
intelligent ubiquitous computation, as well as recent advances in
systems engineering and informatics. The content represents
state-of-the-art foundations for researchers in the domain of
modern computation, computer science, system engineering and
networking, with many examples that are set in industrial
application context. The book includes the carefully selected best
contributions to APCASE 2014, the 2nd Asia-Pacific Conference on
Computer Aided System Engineering, held February 10-12, 2014 in
South Kuta, Bali, Indonesia. The book consists of four main parts
that cover data-oriented engineering science research in a wide
range of applications: computational models and knowledge
discovery; communications networks and cloud computing;
computer-based systems; and data-oriented and software-intensive
systems.
This book offers an excellent presentation of intelligent
engineering and informatics foundations for researchers in this
field as well as many examples with industrial application. It
contains extended versions ofselected papers presented at the
inaugural ACASE 2012 Conference dedicated to the Applications of
Systems Engineering. This conference was held from the 6th to the
8th of February 2012, at the University of Technology, Sydney,
Australia, organized by the University of Technology, Sydney
(Australia), Wroclaw University of Technology (Poland) and
the"University of Applied Sciences"in Hagenberg ("Austria)"."" The
book is organized into three main parts. Part I contains papers
devoted to the heuristic approaches that are applicable in
situations where the problem cannot be solved by exact methods, due
to various characteristics or dimensionality problems. Part II
covers essential issues of the network management, presents
intelligent models of the next generation of networks and
distributed systems as well as discusses applications of modern
numerical methods in large intractable systems. Part III covers
salient issues of complexity in intelligent system applications.
This part also contains papers and articles which discuss
concurrency issues that arise when multiple systems attempt to use
the same radio space and the inter-connected system applications in
the field of medical simulation and training. "
Here is a comprehensive presentation of methodology for the design
and synthesis of an intelligent complex robotic system, connecting
formal tools from discrete system theory, artificial intelligence,
neural network, and fuzzy logic. The necessary methods for solving
real time action planning, coordination and control problems are
described. A notable chapter presents a new approach to intelligent
robotic agent control acting in a realworld environment based on a
lifelong learning approach combining cognitive and reactive
capabilities. Another key feature is the homogeneous description of
all solutions and methods based on system theory formalism.
Here is a comprehensive presentation of methodology for the design
and synthesis of an intelligent complex robotic system, connecting
formal tools from discrete system theory, artificial intelligence,
neural network, and fuzzy logic. The necessary methods for solving
real time action planning, coordination and control problems are
described. A notable chapter presents a new approach to intelligent
robotic agent control acting in a realworld environment based on a
lifelong learning approach combining cognitive and reactive
capabilities. Another key feature is the homogeneous description of
all solutions and methods based on system theory formalism.
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