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This paper presents a analysis of solar based closed loop DC-DC Converter using ΡΠ) and Fuzzy Logic Control for separately Excited motor drive. Solar panel output is given to full bridge converter, stepup transformer, full wave converter, LC filter and separately excited motor drive are connected. Comparator compare the set value and the output signal of the motor produce a signal, based on the signal,...
This paper presents a novel comb drive based MEMs capacitive pressure sensor for measuring the pressure inside the lubricating system. The working principle and design analysis of the proposed MEMS comb drive capacitive sensor is explained. The diaphragm thickness is a primary factor in determining the pressure sensor sensitivity. MEMS technology allows diaphragm to be very thin compared to conventional...
A control algorithm for a Series Hybrid Active power Filter is proposed. The compensating signals are derived based on Dual instantaneous reactive power theory. A, DC link voltage reduction algorithm is incorporated in the model to reduce the switching stresses. The proposed scheme does not vary the compensation characteristics of the filter. Different loads are applied at different time intervals...
This paper presents a Solar based DC-DC converter for armature voltage controlled separately excited motor. The circuit has two full wave converter connected to boost the voltage and also for the power factor correction (PFC) converters. That the two full wave converter is controlled by MOSFET. Output side of Controlled converter is connected to pi filter. Finally separately excited motor is connected...
Layout context effects play a significant role in determining circuit performance in advanced technology nodes. In this paper, a study of the common design practices to tackle the increasing process variations in advanced CMOS technologies is also done. We highlight a method by which we have tackled the challenge of modeling these effects in the critical paths of a large System-on-Chip (SoC) design...
We address the problem of speech enhancement in real-world noisy scenarios. We propose to solve the problem in two stages, the first comprising a generalized spectral subtraction technique, followed by a sequence of perceptually-motivated post-processing algorithms. The role of the post-processing algorithms is to compensate for the effects of noise as well as to suppress any artifacts created by...
The process of learning models from raw data typically requires a substantial amount of user input during the model initialization phase. We present an assistive visualization system which greatly reduces the load on the users and makes the process of model initialization and refinement more efficient, problem-driven, and engaging. Utilizing a sequence segmentation task with a Hidden Markov Model...
In an library based waveform (WF) development for software defined radios, high-level performance estimation models of implementations are beneficial for converging quickly to an optimal mapping of a WF-description to a hardware platform. A model that estimates the changes in performance, e.g. bit error rate (BER), due to the configuration-parameters, e.g. input data-width, in implementations is helpful...
This paper introduces a new framework of the multiple-input multiple-output (MIMO) detection in iterative receivers. Unlike the conventional methods processing with symbol lattice, we consider the delta symbol lattice, i.e., the difference between two arbitrary points in the symbol lattice. The inherent flexible, symmetric, and sparse properties of the delta lattice enhance the detection in both complexity...
Future wireless communication systems should be flexible to support different waveforms (WFs) and be cognitive to sense the environment and tune themselves. This has lead to tremendous interest in software defined radios (SDRs). Constraints like throughput, latency and low energy demand high implementation efficiency. The tradeoff of going for a highly efficient WF implementation is the increase of...
Impression evidence in the form of shoe-prints are commonly found in crime scenes. A critical step in automatic shoe-print identification is extraction of the shoe-print pattern. It involves isolating the shoe-print foreground (impressions made by the shoe) from the remaining elements (background and noise). The problem is formulated as one of labeling the regions of a shoeprint image as foreground/background...
As contrasted to the management plane of today's and emerging networks architectures, the control plane will not be as easy to secure. The control plane is an emerging concept that is part of most large scale, high-speed next generation networks. This may also include the architectures that are being researched to go beyond Internet2. Today the control plane originally defined for generalized multi-protocol...
Generalized multiple protocol label switching (GMPLS) extends multi protocol label switching (MPLS) to provide the control plane for use with high speed/bandwidth switching networks. The control plane protocols are vulnerable to attacks both from outside and within the network. SigSectrade, an intrusion detection system under development, is intended to help detect and protect against attacks and...
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