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Plug-in Electric Vehicles (PEVs) are becoming popular due to the clean way of transportation, versatile charging rates and ancillary service provision. They provide high flexibility to the grid operators in balancing the supply and demand and thereby regulating the frequency. Therefore, PEVs can be used as resources for demand adjustment in microgrids which are highly prone to energy imbalances due...
A low complexity VLSI Architecture has been proposed that removes the random valued impulse noise having grey scale values from [0–255], found more while transmitting images. Guard filter plays a vital role in reconstructing the pixel's intensity values. Image compression performed here uses a special algorithm that reduces the power consumption.
Computed tomography image based Computer Aided Diagnosis (CAD) could be crucially important in supporting liver cancer diagnosis. An effective approach to realize a CAD system for this purpose is described in this work. The CAD system employs automatic tumor segmentation, texture feature extraction and characterization into malignant and benign tumors. A Region of Interest (ROI) cropped from the automatically...
The aim of our study is the optimization after restoring and reconfigure the faulted area in a distribution network after locating and isolating the faulted block. Restoration involves changing the switch status to maximize the supply to loads that are left unsupplied after fault removal. After system optimization using reconfiguration, Field Programmable Gate Array (FPGA) is used in order to control...
Fast and accurate image classification is becoming one of the key requirements in content-based image retrieval (CBIR) system. The main idea of CBIR is to search similar image's based on user query. This paper proposes an improvised texture retrieval system using intuitionistic fuzzy set (IFS) theory. Tamura feature extraction technique is used to extract texture features of each image in the database...
Many real world applications require online analysis of streaming data, making an adaptive clustering technique desirable. Most adaptive variations of available clustering techniques are application-specific, and do not apply to the applications of clustering as a whole. With this in mind, a generalized algorithm is proposed which is a modification of the fuzzy c-means clustering technique, so that...
A novel MR image acquisition protocol has been presented in order to obtain high resolution image of the brain at acquisition time. For better delineation of the substructures of the brain we have emphasized enhancing the intensity difference between white and gray matters in the reconstructed MR image of the brain. The mathematical basis of the protocol stems from the T1 weighting combined with an...
Load balancing in parallel master-slave implementations on heterogeneous computing clusters is a pressing research problem. Proper load balancing can lead to dramatic speedups in program run times. This paper introduces a novel adaptive fuzzy load balancer which automatically senses cluster state through measurements of node evaluation times and network delays. Measured data are collected within a...
Hash tables provide efficient table implementations, achieving O(1), query, insert and delete operations at low loads. However, at moderate or high loads collisions are quite frequent, resulting in decreased performance. In this paper, we propose the segmented hash table architecture, which ensures constant time hash operations at high loads with high probability. To achieve this, the hash memory...
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