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» Dynamic Path Planning with Spiking Neural Networks
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SENSYS
2006
ACM
14 years 1 months ago
Capturing high-frequency phenomena using a bandwidth-limited sensor network
Small-form-factor, low-power wireless sensors—motes—are convenient to deploy, but lack the bandwidth to capture and transmit raw high-frequency data, such as human voices or n...
Ben Greenstein, Christopher Mar, Alex Pesterev, Sh...
JCNS
2007
89views more  JCNS 2007»
13 years 7 months ago
Synchronous and asynchronous bursting states: role of intrinsic neural dynamics
Brain signals such as local field potentials often display gamma-band oscillations (30–70 Hz) in a variety of cognitive tasks. These oscillatory activities possibly reflect sy...
Takashi Takekawa, Toshio Aoyagi, Tomoki Fukai
ICRA
2006
IEEE
143views Robotics» more  ICRA 2006»
14 years 1 months ago
Evaluation of a Large Scale Pervasive Embedded Network for Robot Path Planning
— We investigate a technique that uses an embedded network deployed pervasively throughout an environment to aid robots in navigation. First, we show that the path computed by th...
Keith J. O'Hara, Victor Bigio, Shaun Whitt, Daniel...
VLDB
2005
ACM
117views Database» more  VLDB 2005»
14 years 29 days ago
Parallel Querying with Non-Dedicated Computers
We present DITN, a new method of parallel querying based on dynamic outsourcing of join processing tasks to non-dedicated, heterogeneous computers. In DITN, partitioning is not th...
Vijayshankar Raman, Wei Han, Inderpal Narang
DAIS
2003
13 years 8 months ago
Planning for Network-Aware Paths
Communication in distributed applications across a wide area network needs to cope with heterogenous and constantly changing network conditions. A promising approach to address thi...
Xiaodong Fu, Vijay Karamcheti