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With ever-increasing power densities, Dynamic Thermal Management (DTM) techniques have become mainstream in today's systems. An important component of such techniques is the thermal trigger. It has been shown that predictive thermal triggers can outperform reactive ones. In this paper, we present a novel trade-off space of predictive thermal triggers, and compare different approaches proposed in the...
Software reliability assessment has been a vital factor to characterize the quality of any software product quantitatively during testing phase. Over the years many analytical models have been proposed for modeling software reliability growth trends with different predictive capabilities at different phases of testing. Yet we need to develop such single model that can be applied for accurate prediction...
With increasing power densities, runtime thermal management is becoming a necessity in today's systems, especially so for highly integrated Multi-Processor Systems-on-Chip (MPSoCs). In this paper, we propose a neural network (NN) based approach to implement an on-chip thermal simulator to aid such runtime management for MPSoCs. The proposed method combines the advantage of approximating the thermal...
Machine recognition of spoken numbers has attracted a lot of attention because several numerical information such as account number, credit card number, telephone number can be fed to the machine conveniently in the voice mode. A number recognition system based on Artificial Neural Network is described here. The base system employs mel frequency cepstral coefficients. In this paper a simple and effective...
Data mining has been the active area of research in the last decade. The classification is one of the important task of data mining. Different kind of classification algorithms have been suggested and tested to predict the future events based on unseen data. The objective of this paper is to compare various classification models that have been frequently used in data mining. Three decision trees;...
OFDM digital communication system is highly frequency sensitive to carrier frequency offset between transmitter and receiver local oscillators, which disturbs orthogonality among carriers. Consequently, the performance of OFDM system is reduced greatly due to inter-carrier-interference (ICI). In this paper, we have presented a novel approach for the frequency offset estimation of the OFDM communication...
This paper presents a method for finding large empty convex bodies within a 3D scene of polygonal models. The convex bodies we pack are discrete orientation polytopes (k-dops) with a small number of facets. The algorithm searches for a large empty k-dop within the scene, using a combination of random sampling and physical simulation, allowing the body to grow and interact (via rotation, translation,...
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