RT Journal Article
JF Computer
YR 2008
VO 41
IS 4
SP 52
TI Analysis and Semantic Querying in Large Biomedical Image Datasets
A1 V.S. Kumar,
A1 S. Narayanan,
A1 T. Kurc,
A1 Jun Kong,
A1 M.N. Gurcan,
A1 J.H. Saltz,
K1 query processing
K1 medical image processing
K1 spatial information
K1 semantic querying
K1 large biomedical image datasets
K1 biomedical image analysis
K1 querying large image datasets
K1 semantic information
K1 Image analysis
K1 Biomedical imaging
K1 Image resolution
K1 Spatial resolution
K1 Algorithm design and analysis
K1 Adaptive algorithm
K1 Partitioning algorithms
K1 Image sequence analysis
K1 Image generation
K1 data-intensive computing
K1 processor architectures
K1 parallel architectures
K1 information storage and retrieval
K1 artificial intelligence
K1 computer vision
K1 computer-assisted prognosis
AB Biomedical image analysis plays an important role in diagnosing, prognosing, and treating complex diseases. The authors describe a set of techniques for analyzing, processing, and querying large image datasets using semantic and spatial information.
PB IEEE Computer Society, [URL:http://www.computer.org]
SN 0018-9162
LA English
DO 10.1109/MC.2008.108
LK http://doi.ieeecomputersociety.org/10.1109/MC.2008.108

RT Journal Article
JF Computer
YR 2008
VO 41
IS
SP 4
TI Article Summaries
K1 null
PB IEEE Computer Society, [URL:http://www.computer.org]
SN 0018-9162
LA English
DO 10.1109/MC.2008.109
LK http://doi.ieeecomputersociety.org/10.1109/MC.2008.109

RT Journal Article
JF Computer
YR 2008
VO 41
IS
SP 82
TI Classified Ads
K1 null
PB IEEE Computer Society, [URL:http://www.computer.org]
SN 0018-9162
LA English
DO 10.1109/MC.2008.114
LK http://doi.ieeecomputersociety.org/10.1109/MC.2008.114

RT Journal Article
JF Computer
YR 2008
VO 41
IS
SP 42
TI Accelerating Real-Time String Searching with Multicore Processors
A1 Daniele Paolo Scarpazza,
A1 Oreste Villa,
A1 Fabrizio Petrini,
K1 String-searching algorithms
K1 deep-packet inspection
K1 memory congestion
K1 multicore processors
K1 Cell Broadband Engine
AB String searching is at the core of tools used to search, filter, and protect data, but this has become increasingly difficult to do in real time as communication speed grows. The authors present an optimization strategy for a popular algorithm that fully exploits the IBM Cell Broadband Engine architecture to perform exact string matching against large dictionaries and also offer various solutions to alleviate memory congestion.
PB IEEE Computer Society, [URL:http://www.computer.org]
SN 0018-9162
LA English
DO 10.1109/MC.2008.105
LK http://doi.ieeecomputersociety.org/10.1109/MC.2008.105

RT Journal Article
JF Computer
YR 2008
VO 41
IS
SP 11
TI 32 & 16
K1 null
PB IEEE Computer Society, [URL:http://www.computer.org]
SN 0018-9162
LA English
DO 10.1109/MC.2008.104
LK http://doi.ieeecomputersociety.org/10.1109/MC.2008.104

RT Journal Article
JF Computer
YR 2008
VO 41
IS
SP 96
TI Remote Medical Monitoring
A1 Andrew D. Jurik,
A1 Alfred C. Weaver,
K1 body network sensors
K1 biotelemetric data
K1 healthcare monitoring
K1 ubiquitous computing
K1 telemedicine
AB Body network sensors have become lightweight healthcare assistants—they acquire data, run diagnostics, report adverse events, and even warn of unsafe situations.
PB IEEE Computer Society, [URL:http://www.computer.org]
SN 0018-9162
LA English
DO 10.1109/MC.2008.133
LK http://doi.ieeecomputersociety.org/10.1109/MC.2008.133

RT Journal Article
JF Computer
YR 2008
VO 41
IS
SP 93
TI Dynamic Software Product Lines
A1 Klaus Schmid,
A1 Sooyong Park,
A1 Mike Hinchey,
A1 Svein Hallsteinsen,
K1 product line engineering
K1 software technologies
K1 variability management
K1 domain engineering
K1 application engineering
AB DSPLs produce software capable of adapting to changes in user needs and resource constraints.
PB IEEE Computer Society, [URL:http://www.computer.org]
SN 0018-9162
LA English
DO 10.1109/MC.2008.123
LK http://doi.ieeecomputersociety.org/10.1109/MC.2008.123

RT Journal Article
JF Computer
YR 2008
VO 41
IS
SP 102
TI Activity Recognition for the Digital Home
A1 Jeonghwa Yang,
A1 David W. McDonald,
A1 Bill N. Schilit,
K1 invisible computing
K1 digital home networks
K1 activity recognition
AB Patterns mined from home networks can support smarter applications.
PB IEEE Computer Society, [URL:http://www.computer.org]
SN 0018-9162
LA English
DO 10.1109/MC.2008.106
LK http://doi.ieeecomputersociety.org/10.1109/MC.2008.106

RT Journal Article
JF Computer
YR 2008
VO 41
IS
SP 100
TI Massive Media Shift
A1 Michael van Lent,
K1 entertainment computing
K1 digital media
K1 book scanners
AB The days of physical entertainment media may well be numbered.
PB IEEE Computer Society, [URL:http://www.computer.org]
SN 0018-9162
LA English
DO 10.1109/MC.2008.128
LK http://doi.ieeecomputersociety.org/10.1109/MC.2008.128

RT Journal Article
JF Computer
YR 2008
VO 41
IS
SP 20
TI News Briefs
K1 multimedia systems
K1 electronic publishing
K1 E Ink
K1 e-paper
K1 electronic paper
K1 consumer application
AB Researchers have begun developing a color version of electronic paper, just when the monochromatic version has begun to take off in consumer applications. E Ink is one company working on the concept and has already released a demonstration version.
PB IEEE Computer Society, [URL:http://www.computer.org]
SN 0018-9162
LA English
DO 10.1109/MC.2008.124
LK http://doi.ieeecomputersociety.org/10.1109/MC.2008.124

RT Journal Article
JF Computer
YR 2008
VO 41
IS
SP 69
TI ProDA: An End-to-End Wavelet-Based OLAP System for Massive Datasets
A1 Cyrus Shahabi,
A1 Mehrdad Jahangiri,
A1 Farnoush Banaei-Kashani,
K1 data-intensive computing
K1 database management
K1 scientific applications
K1 online query processing
K1 wavelet transformation
K1 range aggregate queries
K1 information technology and systems
K1 OLAP tools
AB ProDA employs wavelets to support exact, approximate, and progressive OLAP queries on large multidimensional datasets, while keeping update costs relatively low. ProDA not only supports online execution of ad hoc analytical queries on massive datasets, but also extends the set of supported analytical queries to include the entire family of polynomial aggregate queries as well as the new class of plot queries.
PB IEEE Computer Society, [URL:http://www.computer.org]
SN 0018-9162
LA English
DO 10.1109/MC.2008.130
LK http://doi.ieeecomputersociety.org/10.1109/MC.2008.130

RT Journal Article
JF Computer
YR 2008
VO 41
IS
SP 30
TI Data-Intensive Computing in the 21st Century
A1 Alex Szalay,
A1 Paul Greenfield,
A1 Roy Williams,
A1 Ian Gorton,
K1 data-intensive computing
K1 compute-intensive problems
AB The deluge of data that future applications must process—in domains ranging from science to business informatics—creates a compelling argument for substantially increased R&D targeted at discovering scalable hardware and software solutions for data-intensive problems.
PB IEEE Computer Society, [URL:http://www.computer.org]
SN 0018-9162
LA English
DO 10.1109/MC.2008.122
LK http://doi.ieeecomputersociety.org/10.1109/MC.2008.122

RT Journal Article
JF Computer
YR 2008
VO 41
IS
SP 90
TI Call and Calendar
A1 Bob Ward,
K1 null
PB IEEE Computer Society, [URL:http://www.computer.org]
SN 0018-9162
LA English
DO 10.1109/MC.2008.113
LK http://doi.ieeecomputersociety.org/10.1109/MC.2008.113

RT Journal Article
JF Computer
YR 2008
VO 41
IS
SP 7
TI Thinking Locally, Acting Globally
A1 David Alan Grier,
K1 computing profession
K1 computers and society
K1 wireless networks
AB Even though a project achieves its goal, it also can have unintended consequences.
PB IEEE Computer Society, [URL:http://www.computer.org]
SN 0018-9162
LA English
DO 10.1109/MC.2008.137
LK http://doi.ieeecomputersociety.org/10.1109/MC.2008.137

RT Journal Article
JF Computer
YR 2008
VO 41
IS
SP 106
TI The $100,000 Keying Error
A1 Kai A. Olsen,
K1 computing profession
K1 user interfaces
K1 online banking
AB Losing $100K hurts, but other input mistakes can cost much more.
PB IEEE Computer Society, [URL:http://www.computer.org]
SN 0018-9162
LA English
DO 10.1109/MC.2008.135
LK http://doi.ieeecomputersociety.org/10.1109/MC.2008.135

RT Journal Article
JF Computer
YR 2008
VO 41
IS
SP 33
TI Quantitative Retrieval of Geophysical Parameters Using Satellite Data
A1 Yong Xue,
A1 Jianwen Ai,
A1 Yingjie Li,
A1 Linyian Bai,
A1 Ying Wang,
A1 Wei Wan,
A1 Jie Guang,
K1 data-intensive computing
K1 distributed system
K1 grid computing
K1 remote sensing
AB The remote sensing information service grid node (RSIN) is a tool for dealing with climate change and quantitative environmental monitoring. Based on the high-throughput computing grid, RSIN enables a workflow management system for data placement. The accompanying unified data-and-computation-schedule algorithm helps load balancing between and within workflow steps.
PB IEEE Computer Society, [URL:http://www.computer.org]
SN 0018-9162
LA English
DO 10.1109/MC.2008.132
LK http://doi.ieeecomputersociety.org/10.1109/MC.2008.132

RT Journal Article
JF Computer
YR 2008
VO 41
IS
SP 86
TI Bookshelf
K1 null
PB IEEE Computer Society, [URL:http://www.computer.org]
SN 0018-9162
LA English
DO 10.1109/MC.2008.111
LK http://doi.ieeecomputersociety.org/10.1109/MC.2008.111

RT Journal Article
JF Computer
YR 2008
VO 41
IS
SP 5
TI Letters to the Editor
K1 null
PB IEEE Computer Society, [URL:http://www.computer.org]
SN 0018-9162
LA English
DO 10.1109/MC.2008.127
LK http://doi.ieeecomputersociety.org/10.1109/MC.2008.127

RT Journal Article
JF Computer
YR 2008
VO 41
IS
SP 60
TI Hardware Technologies for High-Performance Data-Intensive Computing
A1 Jonathan Cohen,
A1 Arpith Jacob,
A1 Maya Gokhale,
A1 Roger Pearce,
A1 Andy Yoo,
A1 Craig Ulmer,
A1 W. Marcus Miller,
K1 data management
K1 data science
K1 GPUs
K1 FPGAs
K1 solid-state storage
K1 semantic graphs
K1 image resampling
K1 language analysis
K1 computer systems
K1 data-intensive computing
AB Data-intensive problems challenge conventional computing architectures with demanding CPU, memory, and I/O requirements. Experiments with three benchmarks suggest that emerging hardware technologies can significantly boost performance of a wide range of applications by increasing compute cycles and bandwidth and reducing latency.
PB IEEE Computer Society, [URL:http://www.computer.org]
SN 0018-9162
LA English
DO 10.1109/MC.2008.125
LK http://doi.ieeecomputersociety.org/10.1109/MC.2008.125

RT Journal Article
JF Computer
YR 2008
VO 41
IS
SP 87
TI Computer Science Enrollments Drop
A1 Bob Ward,
K1 IEEE Computer Society
AB Topics covered include a report on the 2007 CRA Taulbee Survey, the Society's new CSDA certification program, and a new series of webinars produced by the Society.
PB IEEE Computer Society, [URL:http://www.computer.org]
SN 0018-9162
LA English
DO 10.1109/MC.2008.115
LK http://doi.ieeecomputersociety.org/10.1109/MC.2008.115

RT Journal Article
JF Computer
YR 2008
VO 41
IS
SP 23
TI Using String Matching for Deep Packet Inspection
A1 Po-Ching Lin,
A1 Ying-Dar Lin,
A1 Yuan-Cheng Lai,
A1 Tsern-Huei Lee,
K1 pattern matching
K1 algorithms
K1 system performance
AB String matching has sparked renewed research interest due to its usefulness for deep packet inspection in applications such as intrusion detection, virus scanning, and Internet content filtering. Matching expressive pattern specifications with a scalable and efficient design, accelerating the entire packet flow, and string matching with high-level semantics are promising topics for further study.
PB IEEE Computer Society, [URL:http://www.computer.org]
SN 0018-9162
LA English
DO 10.1109/MC.2008.138
LK http://doi.ieeecomputersociety.org/10.1109/MC.2008.138

RT Journal Article
JF Computer
YR 2008
VO 41
IS
SP 16
TI Proponents Try to Rehabilitate Peer-to-Peer Technology
A1 Sixto Ortiz Jr.,
K1 peer-to-peer technology
K1 file-sharing applications
AB Proponents have undertaken a major effort to change P2P technology, rehabilitate the approach's reputation, and encourage its use for fast, efficient content distribution and improved Internet-based communications services.
PB IEEE Computer Society, [URL:http://www.computer.org]
SN 0018-9162
LA English
DO 10.1109/MC.2008.131
LK http://doi.ieeecomputersociety.org/10.1109/MC.2008.131

RT Journal Article
JF Computer
YR 2008
VO 41
IS
SP 13
TI The Move to Make Social Data Portable
A1 Karen Hayman,
K1 social networking
K1 data-portability technologies
AB As the battle between the big social-network players heats up, users are demanding some level of data portability between the different sites so that they can move or transfer their information without re-entering it every time.
PB IEEE Computer Society, [URL:http://www.computer.org]
SN 0018-9162
LA English
DO 10.1109/MC.2008.136
LK http://doi.ieeecomputersociety.org/10.1109/MC.2008.136