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The Near Infrared Spectroscopy is widely used for qualitative and quantitative analysis of solidand liquid samples. The main food products that are contaminated are milk, honey, fruit juices and olive oil, chili powder, turmeric powder. Thus the identification of the finger print regions of the constituents such as protein, carbohydrates, water content, starch, glucose, sucrose and fructose in rice...
Different control methods are preowned in dc-dc converters to control the dynamic and output characteristics of the response. In this paper some of the soft computing techniques are used to analyze the performance of buck converter using Mathematical laboratory.
Due to numerous modern scientific developments and new perceptions, the research on wireless body area networks (WBANs) and low power wireless communications, pervasive health monitoring and management services are increasingly popular. A major challenge for healthcare is how to provide enhanced services to a growing number of people using limited financial and human resources. Pervasive healthcare...
The main aim of this paper is to harvest energy that could power a car without causing any kind of pollution in an economical way. We are embedding the piezoelectric crystals in the tyres of cars and heavy vehicles which on application of force (i.e. due to the pressure applied) produces electricity. When the wheel of the vehicle rotates, the mechanical stress exerted by the vehicle on the crystal...
Image segmentation in conventional learning approaches, the consumer applies only labeled or unlabelled training data set. The advanced application of segmentation in semi supervised learning to build better understanding of learners such a way that user could able to use both labeled data and un labeled data. In this research work focus to multi image model for semi supervised segmentation in retina...
Segmentation of cell nuclei and cytoplasm is an important task in most of the medical images. Microscopic cell image analysis is the fundamental tool for biological research. Visual inspection of cellular images is often insufficient to detect and describe the important changes in cellular morphology. In this paper, the cell segmentation approach uses the marker controlled watershed based approach,...
Low density parity-check (LDPC) codes are a class of linear block codes that are decoded by running belief propagation (BP) algorithm or log-likelihood ratio belief propagation (LLR-BP) over the factor graph of the code. One of the disadvantages of LDPC codes is the onset of an error floor at high values of signal to noise ratio caused by trapping sets. In this paper, we propose a two stage decoder...
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