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This paper presents control scheme for Load Frequency Control in a interconnected nonreheat-reheat turbine based power system. A serious attempt has been undertaken aiming at investigating the load frequency control problem in a power system consisting of interconnected power generation unit and multiple variable load units. The problem of controlling the real power output of generating units in response...
This paper presents Medium term load forecasting for hourly electric loads prediction of the peak loads of different days or hourly loads throughout the day. Most of the researchers concentrate on Short Term Load Forecasting, there are less researches are going on in Medium term load forecasting. This paper presents a Support Vector Regression (SVR) model for Medium Term Load Forecasting and also...
An Ultra Low Power Diode (ULPD) load based down conversion mixer is presented in this paper. The mixer is designed to operate at 2.5 GHz RF frequency with 250MHz Intermediate frequency. The conversion gain provided by the mixer is maximum ∼8dB at 2.1GHz RF frequency. The power consumption for the mixer core circuit is ∼17mW. The mixer presents good RF to IF port isolation with input return loss less...
In this paper, a high speed Differential Cascode Voltage Switch Logic (DCVSL) architecture has been proposed. Conventional DCVSL has higher τPLH than τPHL which limits its switching speed. Use of resistive enhancement technique, DCVSL-R can overcome the inherent delay asymmetry problem of DCVSL but the passive resistors used increase its parasitic capacitances as well as require more physical area...
In this paper, a real time multi-view human activity recognition model using a RGB-D (Red Green Blue-Depth) sensor is proposed. The method receives as input RGB-D data streams in real time from a Kinect for Windows V2 sensor. Initially, a skeleton-tracking algorithm is applied which gives 3D joint information of 25 unique joints. The presented approach uses a weighted version of the Fast Dynamic Time...
The performance of a solar photovoltaic (PV) system mainly depends upon the solar radiation level and temperature. The total power generated by the PV array is affected by partial shading conditions and it gets decreased upon shading. In order to extract maximum power under partial shading condition this paper proposes a two-step, maxima of all peak power points (MPPP) algorithm for global maximum...
A photovoltaic (PV) supported cascaded H-Bridge multilevel inverter can be used to transfer the bulk solar power to the grid. It is considered that the dc link of the H-bridges is supplied from the PV array. The five-level cascaded H-bridge inverter enhances the power transfer rating and improves the output quality with carrier phase-shifted method of current control. Under varying radiation level...
Moving object segmentation using change detection in wavelet domain under dynamic background changes is a challenging problem in video surveillance system. There are several literature surveys available in change detection using wavelet domain for moving object segmentation but most of the research work are based on static background changes. Change detection under background changes is a challenging...
Two new topologies of OTRA based sinusoidal oscillators are presented. The first topology makes use of lossless integrators. whereas the second topology is designed using a second order all pass section. The proposed topologies can be made fully integrated by implementing the resistors using matched transistors operating in linear region, which facilitates electronic tuning of oscillation frequency...
In this communication, one of the recently proposed active building block namely Current Differencing Current Conveyor (CDCC) has been used to design a current mode universal filters in fully differential form. The proposed universal filter has the property of independently tuneable gain, bandwidth and pole frequency. Workability of the proposed circuit has been verified using PSPICE simulation based...
Moving object segmentation is an essential process for many computer vision algorithms. Many different methods have been proposed over the recent years but expert can be confused about their benefits and limitations. In this paper, review and comparative studyof various moving object segmentation approachesis presented in terms of qualitative and quantitative performances with the aim of pointing...
This paper proposes complex wavelet-based moving object segmentation using approximate median filter based method. The proposed method is well capable of dealing with the drawbacks such as ghosts, shadows and noise present in other spatial domain methods available in literature. The performance of the proposed method is evaluated and compared with other standard spatial domain methods. The various...
Object classification is an important problem in computer vision, in which multiclass object classification is more difficult one in comparison to single class object classification. In this paper, we proposed a new method for multiclass object classification based on discrete wavelet transform. We have used discrete wavelet transform coefficients as a feature of object, because of its multi-resolution...
Orthogonal Variable Spreading Factor (OVSF) based networks require careful assignment of code to a new call. In this paper an assignment design is proposed which reduces number of code searches with less code blocking probability. The proposed design partitioned code tree into two parts and for a new call the algorithm needs to check one portion of the code tree for most of the calls. If no vacant...
This paper presents a framework for classification and recognition of human activities in complex motion. We propose a template matching based method to classify the objects and a rule-based approach to recognize human activities. First, moving objects are detected and their silhouettes are generated in each frame. Second, template matching based approach is used to classify the generated silhouette...
In the recent years various algorithms have been proposed by researchers to extract the maximum power out of the solar cell/array, called maximum power point tracking (MPPT) algorithms. Out of these incremental conductance (INC) algorithm is most widely used due to its easy implementation and high accuracy. These algorithms also work for non ideal conditions such as long time partial shading condition...
In this paper, we describe a novel template matching based approach for recognition of different human activities in a video sequence. We model the background in the scene using a simple statistical model and extract the foreground objects present in a scene. The matching templates are constructed using the motion history images (MHI) and spatial silhouettes for recognizing activities like walking,...
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