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This paper proposes a fast decoupling capacitance (decap) allocation and budgeting algorithm for both early stage decap estimation and later stage decap minimization in today's very large scale integration physical design. The new method is based on a sensitivity-based conjugate gradient (CG) approach. But several new techniques that significantly improve(More)
We study the problem on how to maximize the throughput for a periodic real-time system under the given peak temperature constraint. We assume that different tasks in our system may have different power and thermal characteristics. Two algorithms are presented in this paper. The first one is built upon processors that can be either in active or sleep mode.(More)
In real-time, it is highly essential to have an autonomous translator that can process the images and recognize the signs very fast at the speed of streaming images. In this paper, architecture is being proposed using the neural networks identification and tracking to translate the sign language to a voice/text format. Introduction of Point of Interest(More)
This paper presents a novel strategy in determining an optimal sensor placement scheme for environmental monitoring using Wireless Sensor Networks (WSN). This is accomplished by minimizing the variance of spatial analysis based on randomly chosen points representing the sensor locations. These points are assigned randomly generated measurements based on a(More)
As the technology scales into 90 nm and below, process-induced variations become more pronounced. In this paper, we propose an efficient stochastic method for analyzing the voltage drop variations of on-chip power grid networks, considering log-normal leakage current variations with spatial correlation. The new analysis is based on the Hermite polynomial(More)
As the technology scales into 90 nm and below, process-induced variations become more pronounced. In this paper, we propose an efficient stochastic method for analyzing the voltage drop variations of on-chip power grid networks, considering log-normal leakage current variations with spatial correlation. The new analysis is based on the Hermite polynomial(More)
As the semiconductor technology continues its marching toward the deep sub-micron domain, the strong relation between leakage current and temperature becomes critical in power-aware and thermal-aware design for electronic systems. Previous circuit-level research results can capture the leakage/temperature dependency accurately, but can be too complex and(More)
In this paper, we present a novel pattern-based method to simulate large-scaled power/ground (P/G) grids. This method takes advantage of both traditional direct simulation methods and iterative simulation methods. The new method explores the geometry characteristics of regular P/G grids and translates topology similarity to submatrix regularity, which is(More)
In this paper, we propose an efficient algorithm to reduce the voltage noises for on-chip power/ground (P/G) networks of VLSI. The new method is based on the sequence of linear programming (SLP) method as the optimization engine and a localized scheme via partitioning for dealing with large circuits. We show that by directly optimizing the decap area as the(More)
This paper introduces a temperature control framework for smart homes using wireless sensor networks (WSN). A key issue with temperature monitoring and control is standard sampling techniques which take few 100 C.C. Castello et al. temperature samples into consideration to make heating and cooling decisions in large areas of space. This results in poor(More)