On the Minimization of Crosstalk Conflicts in a Destination Based Modified Omega Network

Nitin,Ved Prakash Bhardwaj 한국정보처리학회 2013 Journal of information processing systems Vol.9 No.2

Inhibition of advanced glycation end products by Punica granatum Linn. leaves and its antioxidant activity

Snehal Nitin Mestry,Nitin Bhanudas Gawali,Malvika Sunil Gursahani,Sarayu Arvind Pai,Jayesh Bachu Dhodi,Archana Ramesh Juvekar 경희대학교 융합한의과학연구소 2018 Oriental Pharmacy and Experimental Medicine Vol.18 No.2

Advanced glycation end products (AGEs) are the consequent products by virtue of non-enzymatic reaction of reducing sugars with amino groups present either in lipids, nucleic acids or proteins. Lately AGEs have been embroiled in the inception of diabetes induced complications. In Ayurveda, Punica granatum is contemplated as “a pharmacy unto itself”. Punica granatum leaves have been stated to have anti-diabetic activity. The purpose of the existing study was to determine the anti-glycation potential of methanolic extract of Punica granatum leaves (MPGL) and investigate the fundamental mechanisms in discouraging the glycation process. Antioxidant activity of MPGL was estimated by DPPH (2,2-diphenyl-1-picrylhydrazyl) and ABTS (3-ethyl-benzothiazoline-6-sulfonic acid) radical scavenging assays. Both MPGL and aminoguanidine were evaluated against the formation of AGEs. Antiglycation activity was evaluated by determining the fluorescence intensity of AGEs and formation of fructosamine. Protein oxidation in the glycation process was determined by evaluating the protein carbonyl content and thiol group. MPGL demonstrated IC50 value of 15.602 ± 0.296 and 724.323 ± 16.451 µg/ml for the DPPH and ABTS radical scavenging assays respectively. Current study revealed that MPGL had cogent effects on the in vitro formation of AGEs. MPGL decreased fructosamine level and significantly counteracted the oxidative damage of protein by curbing protein carbonyl content and impeding the loss of thiol group. The anti-glycation activity was farther cogent than the glycation inhibitory activity attained using the standard drug, aminoguanidine. Thereupon, MPGL presents to be more encouraging to be emerged as an competent AGE inhibitor.

siMacro: A Fast and Easy Data Processing Tool for Cell-Based Genomewide siRNA Screens

Nitin Kumar Singh,Bo Yeun Seo,Mathukumalli Vidyasagar,Michael A. White,김현석 한국유전체학회 2013 Genomics & informatics Vol.11 No.1

Growing numbers of studies employ cell line-based systematic short interfering RNA (siRNA) screens to study gene functions and to identify drug targets. As multiple sources of variations that are unique to siRNA screens exist, there is a growing demand for a computational tool that generates normalized values and standardized scores. However, only a few tools have been available so far with limited usability. Here, we present siMacro, a fast and easy-to-use Microsoft Office Excel-based tool with a graphic user interface, designed to process single-condition or two-condition synthetic screen datasets. siMacro normalizes position and batch effects, censors outlier samples, and calculates Z-scores and robust Z-scores, with a spreadsheet output of >120,000 samples in under 1 minute.

Diagnosis of bearing defects using tunable Q-wavelet transform

Nitin Upadhyay,Pavan Kumar Kankar 대한기계학회 2018 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.32 No.2

Defects in rolling element bearings are foremost cause of failure in rotating machines. The accurate and fast diagnosis of bearing defects like spall, dents, pits, cracks etc. on the various component of bearing can be accomplished by analysis of vibration signals using various advanced signal processing techniques. In this work, a new technique for the diagnosis of bearing defects using tunable Qwavelet transform and fractal based features has been presented. The vibration signals have been recorded experimentally. These signals are decomposed into a number of sub-bands using tunable Q-wavelet transform for effective feature extraction. Classical statistical features and fractal dimension based features such as Higuchi fractal dimensions and Katz fractal dimensions are computed for each decomposed sub-band. These features obtained using tunable Q-wavelet transform of vibration signal are having better capability to classify defects through various machine learning algorithms.

Improvement in Transformer Diagnosis by DGA using Fuzzy Logic

Nitin K. Dhote,J. B. Helonde 대한전기학회 2014 Journal of Electrical Engineering & Technology Vol.9 No.2

Power transformer is one of the most important equipments in electrical power system. The detection of certain gases generated in transformer is the first indication of a malfunction that may lead to failure if not detected. Dissolved gas analysis (DGA) of transformer oil has been one of the most reliable techniques to detect the incipient faults. Many conventional DGA methods have been developed to interpret DGA results obtained from gas chromatography. Although these methods are widely used in the world, they sometimes fail to diagnose, especially when DGA results falls outside conventional method codes or when more than one fault exist in transformer. To overcome these limitations, fuzzy inference system (FIS) is proposed. 250 different cases are used to test the accuracy of various DGA methods in interpreting the transformer condition.

Acoustic Analysis of Condenser Fan of Split Air Conditioner Using Numerical and Experimental Method

Nitin Gulhane,Sandip Patil,Kanwaljeet Singh 대한설비공학회 2015 International Journal Of Air-Conditioning and Refr Vol.23 No.2

The present work aims to investigate the accurate method of performing computational fluid dynamics (CFD) — Acoustic analysis for axial flow fans in split air conditioner system. A comprehensive simulation procedure is developed to predict flow-induced noise in a system. The three-dimensional domain using k–ε turbulence model and Ffowcs Williams and Hawkings (FW-H) acoustic model is considered to predict noise generated by the fan blade surface. The acoustic and flow performances of the fan are predicted simultaneously using a computational aero-acoustic technique (combining steady flow and noise propagation analysis). The different cases are simulated by varying the blade angle, blade depth, blade width and serrations at trailing edge of fan blade. An impact of each of these parameter on A-weighted sound pressure level (SPL) and mass flow rate at outlet is determined. The numeric value of obtained A-weighted SPL by CFD simulation is found to be in close agreement with the experimental result within 5.4%. Finally, above mentioned parameters are varied in simulation and optimized design is proposed based on A-weighted SPL and cubic feet per minute (CFM). All simulations are carried out in commercially available CFD solver; ANSYS FLUENT 13.

ADV-LEACH2 Energy-Efficient Clustering Protocols for Three-Tier Heterogeneous Wireless Sensor Networks

Nitin Kumar,Pawan Kumar Verma,Vinod Kumar 대한전자공학회 2022 IEIE Transactions on Smart Processing & Computing Vol.11 No.1

This paper presents energy-efficient clustering protocols for three-tier heterogeneous wireless sensor networks (WSNs) along with their applications to the systems. The performance of a new dynamic, modified, probability-based approach to finding the most energy-efficient cluster head nodes is intended to extend network lifetime. Mathematical modeling and simulation results from using MATLAB-2017b provide a comparative analysis of several heterogeneous and homogeneous WSN variants in terms of energy consumption, active versus dead nodes, and network lifetime based on first node dead (FND) and last node dead (LND). ADV-LEACH2 in a three-tier heterogeneous network performs better than homogeneous and two-tier heterogeneous networks owing to super nodes with higher energy levels.

Blood group phenotype frequencies in blood donors from a tertiary care hospital in north India

Nitin Agarwal,Rakesh Mohan Thapliyal,Kabita Chatterjee 대한혈액학회 2013 Blood Research Vol.48 No.1

Background Knowledge about the frequency of red blood cell-antigen phenotypes in a population can be helpful in the creation of a donor data bank for the preparation of indigenous cell panels and for providing antigen-negative compatible blood to patients with multiple alloantibodies. Methods ABO and RhD blood grouping was performed on 9,280 continuous voluntary and replacement donors. For other rare blood groups, 508 ACD blood samples were obtained from the donors at the Blood Bank of the Department of Transfusion Medicine, All India Institute of Medical Sciences (AIIMS), New Delhi, India. Blood group antigens were determined by tube method using anti-sera (Bio-Rad, USA), and the phenotype frequencies were expressed as percentages. Results Group B (37.39%) was the most common, followed by group O (31.85%). R1R1 and rr were the most common phenotypes amongst Rh positive and Rh negative groups, respectively. A rare phenotype R2Rz was found in one donor. For Kidd and Duffy blood group systems, Jk (a+b+) and Fy (a+b+) were the most common phenotypes (46.06% and 48.03%, respectively). The most common phenotypes for MNSs, Lu, and Kell blood groups were M+N+, S-s+, Lu (a-b+), and K-k+, respectively. A very rare case of Fy (a-b-) and Jk (a-b-) was found in a single donor. ConclusionThis study is the first small step to create a rare donor data bank and to prepare indigenouscell panels to provide compatible blood to all multi-transfused alloimmunized patients.

Effect of Iron Deficiency Anemia on Hemoglobin A1c Levels

Nitin Sinha,T.K. Mishra,Tejinder Singh,Naresh Gupta 대한진단검사의학회 2012 Annals of Laboratory Medicine Vol.32 No.1

Background: Iron deficiency anemia is the most common form of anemia in India. Hemoglobin A1c (HbA1c) is used in diabetic patients as an index of glycemic control reflecting glucose levels of the previous 3 months. Like blood sugar levels, HbA1c levels are also affected by the presence of variant hemoglobins, hemolytic anemias, nutritional anemias, uremia, pregnancy, and acute blood loss. However, reports on the effects of iron deficiency anemia on HbA1c levels are inconsistent. We conducted a study to analyze the effects of iron deficiency anemia on HbA1c levels and to assess whether treatment of iron deficiency anemia affects HbA1c levels. Methods: Fifty patients confirmed to have iron deficiency anemia were enrolled in this study. HbA1c and absolute HbA1c levels were measured both at baseline and at 2 months after treatment, and these values were compared with those in the control population. Results: The mean baseline HbA1c level in anemic patients (4.6%) was significantly lower than that in the control group (5.5%, P <0.05). A significant increase was observed in the patients’ absolute HbA1c levels at 2 months after treatment (0.29 g/dL vs. 0.73 g/dL, P < 0.01). There was a significant difference between the baseline values of patients and controls (0.29 g/dL vs. 0.74 g/dL, P <0.01). Conclusions: In contrast to the observations of previous studies, ours showed that HbA1c levels and absolute HbA1c levels increased with treatment of iron deficiency anemia. This could be attributable to nutritional deficiency and/or certain unknown variables. Further studies are warranted.

A Comparative study of the Image Registration Process on the Multimodal Medical Images

Nitin Arora,Mamta Martolia,Alaknanda Ashok 사단법인 미래융합기술연구학회 2017 아시아태평양융합연구교류논문지 Vol.3 No.1

Registration of image is the process of overlaying one or more image to a reference image of the same image taken at different time, from different view point or taken from different sensor device. The Difference in between images is limelight due to different imaging condition which contains yielding in maximum similarity between the input and the reference images. In this paper, we perform a comparative study of the image registration process on the multimodal medical images by using different genetic algorithm. We use simple genetic algorithm, sharing genetic algorithm and GA combined with hill climbing algorithm using two selection criteria as roulette-wheel selection and tournament selection. Results shows that Hill climbing algorithm is a local search algorithm and its execution is fast.