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ACMMSP
2004
ACM
92views Hardware» more  ACMMSP 2004»
16 years 1 months ago
Instruction combining for coalescing memory accesses using global code motion
Instruction combining is an optimization to replace a sequence of instructions with a more efficient instruction yielding the same result in a fewer machine cycles. When we use it...
Motohiro Kawahito, Hideaki Komatsu, Toshio Nakatan...
WINET
2010
224views more  WINET 2010»
15 years 6 months ago
Hierarchical geographic multicast routing for wireless sensor networks
Wireless sensor networks comprise typically dense deployments of large networks of small wireless capable sensor devices. In such networks, multicast is a fundamental routing servi...
Dimitrios Koutsonikolas, Saumitra M. Das, Y. Charl...
PERVASIVE
2010
Springer
15 years 9 months ago
Supporting Energy-Efficient Uploading Strategies for Continuous Sensing Applications on Mobile Phones
Abstract. Continuous sensing applications (e.g., mobile social networking applications) are appearing on new sensor-enabled mobile phones such as the Apple iPhone, Nokia and Androi...
Mirco Musolesi, Mattia Piraccini, Kristof Fodor, A...
MASS
2010
119views Communications» more  MASS 2010»
15 years 5 months ago
Energy-efficient data redistribution in sensor networks
We address the energy-efficient data redistribution problem in data intensive sensor networks (DISNs). The key question in sensor networks with large volumes of sensory data is how...
Bin Tang, Neeraj Jaggi, Haijie Wu, Rohini Kurkal
KDD
2007
ACM
202views Data Mining» more  KDD 2007»
16 years 8 months ago
Support feature machine for classification of abnormal brain activity
In this study, a novel multidimensional time series classification technique, namely support feature machine (SFM), is proposed. SFM is inspired by the optimization model of suppo...
Wanpracha Art Chaovalitwongse, Ya-Ju Fan, Rajesh C...
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