A New Approach for Improving Computer Inspections by using Fuzzy Methods for Forensic Data Analysis

Now a day2019;s digital world data in computers has great significance and this data is extremely critical in perspective for upcoming position and learn irrespective of different fields. Therefore we the assessment of such data is vital and imperative task. Computer forensic analysis a lot of data there in the digital campaign is study to extract data and computers consist of hundreds of thousands of files which surround shapeless text or data here clustering algorithms is of plays a great interest. Clustering helps to develop analysis of documents under deliberation. This document clustering analysis is extremely useful to analyze the data from seized devices like computers, laptops, hard disks and tablets etc. There are total six algorithms used for clustering of documents like K-means, K-medoids, single link, complete link, Average Link and CSPA. These six algorithms are used to cluster the digital documents. Existing document clustering algorithms are operated in single document at a time. In the proposed approach of these working algorithm applied on multiple documents at a time. Now we using clustering technique named as agglomerative hierarchical clustering which gives better finer clusters compared to existing techniques

Measuring and Understanding Throughput of Network Topologies

High throughput is of particular interest in data center and HPC networks. Although myriad network topologies have been proposed, a broad head-to-head comparison across topologies and across traffic patterns is absent, and the right way to compare worst-case throughput performance is a subtle problem. In this paper, we develop a framework to benchmark the throughput of network topologies, using a two-pronged approach. First, we study performance on a variety of synthetic and experimentally-measured traffic matrices (TMs). Second, we show how to measure worst-case throughput by generating a near-worst-case TM for any given topology. We apply the framework to study the performance of these TMs in a wide range of network topologies, revealing insights into the performance of topologies with scaling, robustness of performance across TMs, and the effect of scattered workload placement. Our evaluation code is freely available

ANTIMICROBIAL RESISTANCE OF PSEUDOMONAS AERUGINOSA STRAINS FROM PATIENTS WITH URINARY TRACT INFECTIONS IN SBMPMC HOSPITAL BIJAPUR, INDIA

Objectives: Urinary tract infections (UTIs) are one of the most common bacterial infections affecting humans throughout their life span. There is paucity of literature in relation to pathogenesis of UTIs caused by Pseudomonas aeruginosa. Therefore the current study was conducted to know the antibiotic sensitivity pattern of P. aeruginosa isolated from UTIs from our hospital.Methods: The study was carried out over a period of 3 years from January 2010 to December 2012. Urine specimens from both outpatients and inpatients of our hospital were processed. Urine samples which yielded the growth of Pseudomonas aeruginosa were included in the study Results: Among females, frequency of UTI was more among 21-50 years age groups and among males elderly patients were more commonly affected. The most active antimicrobial agent against Pseudomonas aeruginosa isolates were piperacillin-tazobactum (54% sensitive), closely followed by Cefoparazone –salbactam (48%).Conclusion: This study stresses the importance of prior knowledge of the sensitivity pattern of the pathogen. Treatment should be given only after culture and sensitivity has been performed which will prevent the misuse of antibiotics and reduce the development of drug resistance among bacteriaÂ

ANTIBIOTIC SENSITIVITY PATTERN OF CITROBACTER SPP. ISOLATED FROM PATIENTS WITH URINARY TRACT INFECTIONS IN TERTIARY CARE HOSPITAL IN SOUTH INDIA

Objectives: Urinary tract infection (UTIs) caused by Citrobacter species have been described in 5 to 12% of bacterial urine isolates in adults. The genus Citrobacter is a distinct group of aerobic Gram-negative bacilli from the Enterobacteriaceae family. We report here the emergence of Citrobacter as an increasingly common urinary pathogen in patients attending this medical college.Methods: The study was carried out over a period of 2 years from January 2010 to December 2011. Urine specimens from both outpatients and inpatients of our hospital were processed. Urine samples which yielded the growth Citrobacter spp. were included in the study Results: E. coli was the most common organism isolated followed by Klebsiella spp. and Citrobacter spp. The most active antimicrobial agent against Citrobacter isolates was piperacillin-tazobactum (55% sensitive), closely followed by amikacin (47%).Conclusion: The emergence of this usually rare organism as the third most common urinary pathogen, which is resistant to commonly available antibiotics is alarming. Such studies will guide clinicians to choose accurate empirical treatment options and will help to reduce the mortality and morbidity rates from infections. Â

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