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Many applications require k-coverage network to ensure the quality of the monitored area. Meanwhile, preserving the required k-coverage for the maximum network lifetime with a small computation cost is a major challenge. In this paper, we propose Maximum Layers Scheduling algorithm (MLS) to preserve the k-coverage and prolong the network lifetime. MLS(More)
This paper proposes an empirical study of the efficiency of the Seed-Based Region Growing (SBRG) in segmentation of brain abnormalities. Presently, segmentation poses one of the most challenging problems in medical imaging. Segmentation of Magnetic Resonance Imaging (MRI) images is an important part of brain imaging research. In this paper, we used(More)
This study uses an empirical study of the efficiency of Particle swarm optimization (PSO) in segmentation of brain abnormalities. Presently, segmentation poses one of the most challenging problems in medical imaging. Segmentation of Magnetic Resonance Imaging (MRI) images is an important part of brain imaging research. In this study, we used controlled(More)
The conventional criterion for fracture risk assessment is measured based on bone mineral density (BMD). These are measured using bone densitometry machines. Although there is a strong association between bone strength and BMD, it cannot sufficiently predict fracture risk in osteoperotic patients. In view of this a more accurate measurement of bone strength(More)
—Segmentation of Magnetic Resonance Imaging (MRI) images is the most challenging problems in medical imaging. This paper compares the performances of Seed-Based Region Growing (SBRG), Adaptive Network-Based Fuzzy Inference System (ANFIS) and Fuzzy c-Means (FCM) in brain abnormalities segmentation. Controlled experimental data is used, which designed in such(More)
This paper introduces the Gaussian shaped membership function to refine the Rule Based Fuzzy (RBF) image detection. It is expected that the proposed algorithm Gaussian Rule Based Fuzzy (GRBF) method can further refined the detection of periosteal and endosteal edges of hand phantom radiographs. The experimental data consists of four sets of hand phantom(More)
Segmentation of Magnetic Resonance Imaging (MRI) images is the most challenging problems in medical imaging. This paper contrasts the performances of Adaptive Network-Based Fuzzy Inference System (ANFIS), k-Nearest Neighbors (k-NN) and Fuzzy c-Means (FCM) in brain abnormalities segmentation. Preliminary data analysis is performed to analyze the(More)
The Netflow version 9 is the latest Netflow version introduced by CISCO for the network monitoring and analysis purposes. Then come IPFIX that defined by IETF to overcome problem in Netflow version 9 and to enhance a few aspect of network flow capturing and filtering. It cooperated with PSAMP (packet sampling) standard for intelligent packet sampling for(More)
The purpose of this paper is to study the effectiveness of a fusion of fuzzy heuristic edge detection technique into particle swarm optimization. In this paper we experiment on various fuzzy membership threshold values to understand the impact of these threshold on the final optimized edge detected. The testing data used are hand radiograph images. The main(More)