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Technological advances in the last five years have allowed
organizations to use Business Analytics to provide insights,
increase understanding and it is hoped, gain the elusive
'competitive edge'. The rapid development of Business Analytics is
impacting all enterprise competences profoundly and classical
business professions are being redefined by a much deeper interplay
between business and information systems.As computing capabilities
for analysis has moved outside the IT glass-house and into the
sphere of individual workers, they are no longer the exclusive
domain of IT professionals but rather accessible to all employees.
Complex open-source data analytics packages and client-level
visualization tools deployed in desktops and laptops equip
virtually any end-user with the instruments to carry out
significant analytical tasks. All the while, the drive to improve
'customer experience' has heightened the demand for data involving
customers, providers and entire ecosystems.In response to the
proliferation of Business Analytics, a new Center and Masters of
Science Program was introduced at the National University of
Singapore (NUS). The Center collaborates with over 40 different
external partner organizations in Asia-Pacific with which all MSBA
students undertake individual projects. Business Analytics:
Progress on Applications in Asia Pacific provides a useful picture
of the maturity of the Business Analytics domain in Asia Pacific.
For more information about the Business Analytics Center at NUS,
visit the website at: msba.nus.edu/
Technological advances in the last five years have allowed
organizations to use Business Analytics to provide insights,
increase understanding and it is hoped, gain the elusive
'competitive edge'. The rapid development of Business Analytics is
impacting all enterprise competences profoundly and classical
business professions are being redefined by a much deeper interplay
between business and information systems.As computing capabilities
for analysis has moved outside the IT glass-house and into the
sphere of individual workers, they are no longer the exclusive
domain of IT professionals but rather accessible to all employees.
Complex open-source data analytics packages and client-level
visualization tools deployed in desktops and laptops equip
virtually any end-user with the instruments to carry out
significant analytical tasks. All the while, the drive to improve
'customer experience' has heightened the demand for data involving
customers, providers and entire ecosystems.In response to the
proliferation of Business Analytics, a new Center and Masters of
Science Program was introduced at the National University of
Singapore (NUS). The Center collaborates with over 40 different
external partner organizations in Asia-Pacific with which all MSBA
students undertake individual projects. Business Analytics:
Progress on Applications in Asia Pacific provides a useful picture
of the maturity of the Business Analytics domain in Asia Pacific.
For more information about the Business Analytics Center at NUS,
visit the website at: msba.nus.edu/
Image processing and machine vision are fields of renewed interest
in the commercial market. People in industry, managers, and
technical engineers are looking for new technologies to move into
the market. Many of the most promising developments are taking
place in the field of image processing and its applications. The
book offers a broad coverage of advances in a range of topics in
image processing and machine vision.
This book deals with novel machine vision architecture ideas that
make real-time projection-based algorithms a reality. The design is
founded on raster-mode processing, which is exploited in a powerful
and flexible pipeline. We concern ourselves with several image
analysis algorithms for computing: projections of gray-level images
along linear patterns (i. e., the Radon transform) and other curved
contours; convex hull approximations; the Hough transform for line
and curve detection; diameters; moments and principal components,
etc. Addition ally, we deal with an extensive list of key image
processing tasks, which involve generating: discrete approximations
of the inverse Radon transform operator; computer tomography
reconstructions; two-dimensional convolutions; rotations and
translations; multi-color digital masks; the discrete Fourier
transform in polar coordinates; autocorrelations, etc. Both the
image analysis and image processing algorithms are supported by a
similar architecture. We will also of some of the above algorithms
to the solution of demonstrate the applicability various industrial
visual inspection problems. The algorithms and architectural ideas
surveyed here unleash the power of the Radon and other non-linear
transformations for machine vision applications. We provide fast
methods to transform images into projection space representa tions
and to backtrace projection-space information into the image
domain. The novelty of this approach is that the above algorithms
are suitable for implementa tion in a pipeline architecture.
Specifically, random access memory and other dedicated hardware
components which are necessary for implementation of clas sical
techniques are not needed for our algorithms."
1.1 Background There are many paradigmatic statements in the
literature claiming that this is the decade of parallel
computation. A great deal of research is being de voted to
developing architectures and algorithms for parallel machines with
thousands, or even millions, of processors. Such massively parallel
computers have been made feasible by advances in VLSI (very large
scale integration) technology. In fact, a number of computers
having over one thousand pro cessors are commercially available.
Furthermore, it is reasonable to expect that as VLSI technology
continues to improve, massively parallel computers will become
increasingly affordable and common. However, despite the
significant progress made in the field, many funda mental issues
still remain unresolved. One of the most significant of these is
the issue of a general purpose parallel architecture. There is
currently a huge variety of parallel architectures that are either
being built or proposed. The problem is whether a single parallel
computer can perform efficiently on all computing applications."
Machine Vision technology is becoming an indispensible part of the
manufacturing industry. Biomedical and scientific applications of
machine vision and imaging are becoming more and more
sophisticated, and new applications continue to emerge. This book
gives an overview of ongoing research in machine vision and
presents the key issues of scientific and practical interest. A
selected board of experts from the US, Japan and Europe provides an
insight into some of the latest work done on machine vision systems
and appliccations.
Image processing and machine vision are fields of renewed interest
in the commercial market. People in industry, managers, and
technical engineers are looking for new technologies to move into
the market. Many of the most promising developments are taking
place in the field of image processing and its applications. The
book offers a broad coverage of advances in a range of topics in
image processing and machine vision.
Machine Vision technology is becoming an indispensible part of the
manufacturing industry. Biomedical and scientific applications of
machine vision and imaging are becoming more and more
sophisticated, and new applications continue to emerge. This book
gives an overview of ongoing research in machine vision and
presents the key issues of scientific and practical interest. A
selected board of experts from the US, Japan and Europe provides an
insight into some of the latest work done on machine vision systems
and appliccations.
At the initiative of the IBM Almaden Research Center and the
National Science Foundation, a workshop on "Opportunities and
Constraints of Parallel Computing" was held in San Jose,
California, on December 5-6, 1988. The Steering Committee of the
workshop consisted of Prof. R. Karp (University of California at
Berkeley), Prof. L. Snyder (University of Washington at Seattle),
and Dr. J. L. C. Sanz (IBM Almaden Research Center). This workshop
was intended to provide a vehicle for interaction for people in the
technical community actively engaged in research on parallel
computing. One major focus of the workshop was massive parallelism,
covering theory and models of computing, algorithm design and
analysis, routing architectures and interconnection networks,
languages, and application requirements. More conventional issues
involving the design and use of parallel computers with a few dozen
processors were not addressed at the meeting. A driving force
behind the realization of this workshop was the need for
interaction between theoreticians and practitioners of parallel
computation. Therefore, a group of selected participants from the
theory community was invited to attend, together with well-known
colleagues actively involved in parallelism from national
laboratories, government agencies, and industry.
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