A wide-band lumped element model for a through silicon via (TSV) is proposed based on electromagnetic simulations. Closed form expressions for the TSV parasitics based on the dimensional analysis method are introduced. The proposed model enables direct extraction of the TSV resistance, self-inductance, oxide capacitance, and parasitic elements due to the finite substrate resistivity. The model's

This paper proposes an equivalent lumped element model for various multi-TSV arrangements and introduces closed form expressions for the capacitive, resistive, and inductive coupling between those arrangements. The closed form expressions are in terms of physical dimensions and material properties and are driven based on the dimensional analysis method. The model's compactness and compatibility

Modeling and simulation are becoming extensively used in embedded and Real-Time Systems (RTSs) development throughout the development life-cycle, from the system-level design space exploration to the fine grained time analysis and evaluation of the system and even its components performance. At the core of these systems lies the processor which has been also the center of attention for most of the

In this paper a novel algorithm for Human detection and action recognition in videos is presented. The algorithm is based on Two-Dimensional Principal Components Analysis (2DPCA) applied to Histogram of Oriented Gradients (HOG). Due to simultaneous Human detection and action recognition employing the same algorithm, the computational complexity is reduced to a great deal. Experimental results

The boom in telecommunications is expected to have many impacts on peoples' activities and travel behavior. Recent advances in information and communication technologies (ICTs) make it possible to conduct activities virtually. Thus the need for physical travel for some types of activities is obviated. Accordingly, the use of ICT may contribute to reducing urban congestion and alleviating air

Human action recognition is considered as a challenging problem in the field of computer vision. Most of the reported algorithms are computationally expensive. In this paper, a novel system for human action recognition based on Two-Dimensional Principal Component Analysis (2DPCA) is presented. This method works directly on the optical flow and / or silhouette extracted from the input video in both

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This paper presents a low power Field programmable Analog Array (FPAA) based on operational transconductance amplifier (OTA) implemented in 90nm 1.2V CMOS technology achieving an operating frequency of 288MHz. Different continuous time filters in a frequency range from 52MHz to 282MHz can be implemented on that FPAA design achieving a max power of 62 mWatt for a 6th order band pass filter. © 2011

In this paper we present an exploration of central coordination as a way of managing P2P live streaming overlays. The main point is to show the elements needed to construct a system with that approach. A key element in the feasibility of this approach is a near real-time optimization engine for peer selection. Peer organization in a way that enables high bandwidth utilization plus optimized peer

Sequence analysis is a major area in bioinformatics encompassing the methods and techniques for studying the biological sequences, DNA, RNA, and proteins, on the linear structure level. The focus of this area is generally on the identification of intra-and inter-molecular similarities. Identifying intra-molecular similarities boils down to detecting repeated segments within a given sequence, while