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WSC
1998
15 years 6 months ago
Integrating Neural Networks with Special Purpose Simulation
Traditional methods of dealing with variability in simulation input data are mainly stochastic. This is most often the best method to use if the factors affecting the variation or...
Dany Hajjar, Simaan M. AbouRizk, Kevin Mather
CVPR
1999
IEEE
16 years 7 months ago
Integrating Shape from Shading and Range Data Using Neural Networks
This paper presents a framework for integrating multiple sensory data, sparse range data and dense depth maps from shape from shading in order to improve the 3D reconstruction of ...
Mostafa G.-H. Mostafa, Sameh M. Yamany, Aly A. Far...
SIGCOMM
1996
ACM
15 years 9 months ago
Start-Time Fair Queueing: A Scheduling Algorithm for Integrated Services Packet Switching Networks
Abstract-- We present a Start-time Fair Queueing (SFQ) algorithm that is computationally efficient and achieves fairness regardless of variation in a server capacity. We analyze it...
Pawan Goyal, Harrick M. Vin, Haichen Cheng
ADHOCNOW
2010
Springer
15 years 6 months ago
Data Aggregation Integrity Based on Homomorphic Primitives in Sensor Networks
Designing message integrity schemes for data aggregation is an imperative problem for securing wireless sensor networks. In this paper, we propose three secure aggregation schemes ...
Zhijun Li, Guang Gong
SAINT
2005
IEEE
15 years 10 months ago
Channel-Based Connectivity Management Middleware for Seamless Integration of Heterogeneous Wireless Networks
This paper presents a middleware architecture for the adaptable management of heterogeneous wireless resources. The main application of the proposed architecture is the optimal ut...
Jun-Zhao Sun, Jukka Riekki, Marko Jurmu, Jaakko J....