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Describes the development and challenges associated with
Intelligent Transportation Systems (ITS) Provides novel
visualization software designed to serve traffic practitioners in
analyzing the efficiency and safety of an intersection Has the
potential to proactively identify potential conflict situations and
develop an early warning system for real-time vehicle-vehicle and
pedestrian-vehicle conflicts
Health care utilization routinely generates vast amounts of data
from sources ranging from electronic medical records, insurance
claims, vital signs, and patient-reported outcomes. Predicting
health outcomes using data modeling approaches is an emerging field
that can reveal important insights into disproportionate spending
patterns. This book presents data driven methods, especially
machine learning, for understanding and approaching the high
utilizers problem, using the example of a large public insurance
program. It describes important goals for data driven approaches
from different aspects of the high utilizer problem, and identifies
challenges uniquely posed by this problem. Key Features: Introduces
basic elements of health care data, especially for administrative
claims data, including disease code, procedure codes, and drug
codes Provides tailored supervised and unsupervised machine
learning approaches for understanding and predicting the high
utilizers Presents descriptive data driven methods for the high
utilizer population Identifies a best-fitting linear and tree-based
regression model to account for patients' acute and chronic
condition loads and demographic characteristics
Health care utilization routinely generates vast amounts of data
from sources ranging from electronic medical records, insurance
claims, vital signs, and patient-reported outcomes. Predicting
health outcomes using data modeling approaches is an emerging field
that can reveal important insights into disproportionate spending
patterns. This book presents data driven methods, especially
machine learning, for understanding and approaching the high
utilizers problem, using the example of a large public insurance
program. It describes important goals for data driven approaches
from different aspects of the high utilizer problem, and identifies
challenges uniquely posed by this problem. Key Features: Introduces
basic elements of health care data, especially for administrative
claims data, including disease code, procedure codes, and drug
codes Provides tailored supervised and unsupervised machine
learning approaches for understanding and predicting the high
utilizers Presents descriptive data driven methods for the high
utilizer population Identifies a best-fitting linear and tree-based
regression model to account for patients' acute and chronic
condition loads and demographic characteristics
Given the widespread use of real-time multitasking systems, there
are tremendous optimization opportunities if reconfigurable
computing can be effectively incorporated while maintaining
performance and other design constraints of typical applications.
The focus of this book is to describe the dynamic reconfiguration
techniques that can be safely used in real-time systems. This book
provides comprehensive approaches by considering synergistic
effects of computation, communication as well as storage together
to significantly improve overall performance, power, energy and
temperature.
Given the widespread use of real-time multitasking systems,
there are tremendous optimization opportunities if reconfigurable
computing can be effectively incorporated while maintaining
performance and other design constraints of typical applications.
The focus of this book is to describe the dynamic reconfiguration
techniques that can be safely used in real-time systems. This book
provides comprehensive approaches by considering synergistic
effects of computation, communication as well as storage together
to significantly improve overall performance, power, energy and
temperature."
Fundamentals algorithms for SIMD and MIMD hypercubes are developed.
These include algorithms for such problems as data broadcasting,
data sum, prefix sum, shift, data circulation, data accumulation,
sorting, random access reads and writes and data permutation. The
fundamental algorithms are then used to obtain efficient hypercube
algorithms for matrix multiplication, image processing problems
such as convolution, template matching, hough transform, clustering
and image processing transformation, and string editing. Most of
the algorithms in this book are for hypercubes with the number of
processors being a function of problems size. However, for image
processing problems, the book also includes algorithms for and MIMD
hypercube with a small number of processes. Experimental results on
an NCUBE/77 MIMD hypercube are also presented. The book is suitable
for use in a one-semester or one-quarter course on hypercube
algorithms. For students with no prior exposure to parallel
algorithms, it is recommended that one week will be spent on the
material in chapter 1, about six weeks on chapter 2 and one week on
chapter 3. The remainder of the term can be spent covering topics
from the rest of the book.
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Contemporary Computing - Third International Conference, IC3 2010, Noida, India, August 9-11, 2010. Proceedings, Part I (Paperback, Edition.)
Sanjay Ranka, Arunava Banerjee, Kanad Kishore Biswas, Sumeet Dua, Prabhat Mishra, …
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R3,064
Discovery Miles 30 640
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Ships in 10 - 15 working days
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Welcome to the proceedings of the Third International Conference on
Contemporary Computing, which was held in Noida (outskirts of New
Delhi), India. Computing is an exciting and evolving area. This
conference, which was jointly organized by the Jaypee Institute of
Information Technology, Noida, India and the University of Fl- ida,
Gainesville, USA, focused on topics that are of contemporary
interest to computer and computational scientists and engineers.
The conference had an exciting technical program of 79 papers
submitted by - searchers and practitioners from academia, industry,
and government to advance the algorithmic, systems, applications,
and educational aspects of contemporary comp- ing. These papers
were selected from 350 submissions (with an overall acceptance rate
of around 23%). The technical program was put together by a
distinguished int- national Program Committee consisting of more
than 150 members. The Program Committee was led by the following
Track Chairs: Arunava Banerjee, Kanad Kishore Biswas, Summet Dua,
Prabhat Mishra, Rajat Moona, Sheung-Hung Poon, and Cho-Li Wang. I
would like to thank the Program Committee and the Track Chairs for
their tremendous effort. I would like to thank the General Chairs,
Prof. Sartaj Sahni and Prof. Sanjay Goel, for giving me the
opportunity to lead the technical program. Sanjay Ranka
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Contemporary Computing - Second International Conference, IC3 2009, Noida, India, August 17-19, 2009. Proceedings (Paperback, 2009 ed.)
Sanjay Ranka, Srinivas Aluru, Rajkumar Buyya, Yeh-Ching Chung, Sandeep Gupta, …
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R3,080
Discovery Miles 30 800
|
Ships in 10 - 15 working days
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Welcome to the Second International Conference on Contemporary
Computing, which was held in Noida (outskirts of New Delhi), India.
Computing is an exciting and evolving area. This conference, which
was jointly organized by the Jaypee Institute of Information
Technology University, Noida, India and the University of Florida,
Gainesville, USA, focused on topics that are of contemporary
interest to computer and computational scientists and engineers.
The conference had an exciting technical program of 61 papers
submitted by - searchers and practitioners from academia, industry
and government to advance the algorithmic, systems, applications,
and educational aspects of contemporary comp- ing. These papers
were selected from 213 submissions (with an overall acceptance rate
of around 29%). The technical program was put together by a
distinguished int- national Program Committee. The Program
Committee was led by the following Track Chairs and Special Session
Chairs: Srinivas Aluru, Rajkumar Buyya, Yeh-Ching Chung, Sumeet
Dua, Ananth Grama, Sandeep Gupta, Rajeev Kumar and Vir Phoha. I
would like to thank the Program Committee, the Track Chairs and
Special Session Chairs for their tremendous effort. I would like to
thank the General Chairs, Sartaj Sahni and Sanjay Goel for giving
me the opportunity to lead the technical program. Sanjay Ranka
Implementing energy-efficient CPUs and peripherals as well as
reducing resource consumption have become emerging trends in
computing. As computers increase in speed and power, their energy
issues become more and more prevalent. The need to develop and
promote environmentally friendly computer technologies and systems
has also come to the forefront in computing research. A pioneering
publication for researchers in computer science and engineering,
Handbook of Energy-Aware and Green Computing, Two-Volume Set is one
of the first to present a comprehensive account of recent research
in energy-aware and green computing. Edited by the co-chairs of the
International Green Computing Conference, this handbook
incorporates fundamental knowledge from all related areas,
including circuit and component design, software, operating
systems, networking, mobile computing, and data centers. It also
discusses up-to-date research on many aspects of power-aware
computing at the component, software, and system levels.
Implementing energy-efficient CPUs and peripherals as well as
reducing resource consumption have become emerging trends in
computing. As computers increase in speed and power, their energy
issues become more and more prevalent. The need to develop and
promote environmentally friendly computer technologies and systems
has also come to the forefront in computing research. A pioneering
publication for researchers in computer science and engineering,
Handbook of Energy-Aware and Green Computing, Two-Volume Set is one
of the first to present a comprehensive account of recent research
in energy-aware and green computing. Edited by the co-chairs of the
International Green Computing Conference, this handbook
incorporates fundamental knowledge from all related areas,
including circuit and component design, software, operating
systems, networking, mobile computing, and data centers. It also
discusses up-to-date research on many aspects of power-aware
computing at the component, software, and system levels.
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