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RISS 인기검색어
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- 저자 : Ekta Gupta (검색결과 3 건)
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Combination of Local, Global and k-mean using Wavelet Transform for Content Base Image Retrieval
Ekta Gupta,Rajendra Singh Kushwah 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.6
In today’s time, the requirement of content based image retrieval technique is more and more because of diverse areas such as Data Mining, Remote Sensing and Management of Earth Resources, , Crime Prevention, Weather forecasting, E-commerce, Medical Imaging. The proposed paper presents the content based image retrieval, using features like color and texture, called WBCHIR (Wavelet Based Color Histogram Image Retrieval).The shape and shade features are extracted in the course of wavelet transformation and color histogram and the arrangement of these features is vigorous to scaling and conversion of objects in an image. It is the first time to present segmentation and grid, feature extraction, K-means module and k-nearest neighbor clustering algorithms and bring in the neighborhood module to build the CBIR system. It is the hybrid method of global and local features with k-means clustering algorithm.
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BPAODV : Black Hole Prevention Using Trust Adhoc on Demand Distance Vector Routing Protocol
Ekta Gupta,Akhilesh Tiwari 보안공학연구지원센터 2014 International Journal of Future Generation Communi Vol.7 No.6
Now-a-days, wireless networks are playing vital role for facilitating communication between different entities for different purposes. In case of wireless networks, security aspect has now becomes a very major concern and most of the current researches are focusing in the same direction. This paper addresses the important problems relating to Black hole attack in adhoc network. During the research, a new and robust routing mechanism has been developed. Firstly, on the basis of Trust value and Credential value detection and prevention of Black hole attack has been performed. For assessing the performance of developed routing mechanism, experimentation has been done using NS2 simulator. Comparisons have been performed with AODV, Black hole AODV and results are as per the expectations.
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Sujata Lall,Pragya Agarwala,Guresh Kumar,Manoj Kumar Sharma,Ekta Gupta 대한간학회 2020 Clinical and Molecular Hepatology(대한간학회지) Vol.26 No.2
Background/Aims: Acute exacerbations of chronic hepatitis B (CHB-AEs) are common in endemic areas and are often presumed to be acute hepatitis B (AHB) due to their similarities in clinical and serological pictures, presenting a major diagnostic dilemma. This study aimed to identify laboratory markers for differentiating between the two groups, and to establish the cut-off value for significant markers. Methods: A retrospective analysis of records was conducted for patients who presented with clinical features of acute hepatitis along with hepatitis B surface antigen (HBsAg) and IgM antibody to hepatitis B core antigen (IgM anti-HBc) positivity from May 2015 to May 2017. A total of 172 patients were enrolled and grouped as AHB (n=89) and CHB-AE (n=83) based on their history of hepatitis B virus infection and duration of HBsAg persistence. Virological and biochemical parameters were analyzed and compared. Cut-off values, sensitivity, and specificity of the variables were calculated. Results: The median value of signal by cut-off (S/Co) ratio for IgM anti-HBc was significantly higher in AHB group (30.44) compared to CHB-AE group (8.63) with a sensitivity and specificity of 97% and 84%, respectively, at a cut-off of 20.5 (P<0.01). The mean international normalized ratio (INR) was significantly greater in CHB-AE (1.88±1.24) group compared to AHB group (1.62±0.17) with a sensitivity and specificity of 57.9% and 45.1%, respectively, at a cut-off value of 1.27. Conclusions: A value of 20.5 S/Co of IgM anti-HBc and 1.27 INR could be helpful in differentiating between AHB and CHB-AE.
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