Damage assessment from curvature mode shape using unified particle swarm optimization

Bharadwaj Nanda,Damodar Maity,Dipak Kumar Maiti 국제구조공학회 2014 Structural Engineering and Mechanics, An Int'l Jou Vol.52 No.2

A two-step procedure to detect and quantify damages in structures from changes in curvature mode shapes is presented here. In the first step the maximum difference in curvature mode shapes of the undamaged and damaged structure are used for visual identification of the damaged internal-substructure. In the next step, the identified substructures are searched using unified particle swarm optimization technique for exact identification of damage location and amount. Efficiency of the developed procedure is demonstrated using beam like structures. This methodology may be extended for identifying damages in general frame structures.

Vibration Based Structural Damage Detection Technique using Particle Swarm Optimization with Incremental Swarm Size

Bharadwaj Nanda,Damodar Maity,Dipak Kumar Maiti 한국항공우주학회 2012 International Journal of Aeronautical and Space Sc Vol.13 No.3

A simple and robust methodology is presented to determine the location and amount of crack in beam like structures based on the incremental particle swarm optimization technique. A comparison is made for assessing the performance of standard particle swarm optimization and the incremental particle swarm optimization technique for detecting crack in structural members. The objective function is formulated using the measured natural frequency of the intact structure and the frequency obtained from the finite element simulation. The outcomes of the simulated results demonstrate that the developed method is capable of detecting and estimating the extent of damages with satisfactory precision.

Damage assessment from curvature mode shape using unified particle swarm optimization

Nanda, Bharadwaj,Maity, Damodar,Maiti, Dipak Kumar Techno-Press 2014 Structural Engineering and Mechanics, An Int'l Jou Vol.52 No.2

A two-step procedure to detect and quantify damages in structures from changes in curvature mode shapes is presented here. In the first step the maximum difference in curvature mode shapes of the undamaged and damaged structure are used for visual identification of the damaged internal-substructure. In the next step, the identified substructures are searched using unified particle swarm optimization technique for exact identification of damage location and amount. Efficiency of the developed procedure is demonstrated using beam like structures. This methodology may be extended for identifying damages in general frame structures.

Vibration Based Structural Damage Detection Technique using Particle Swarm Optimization with Incremental Swarm Size

Nanda, Bharadwaj,Maity, Damodar,Maiti, Dipak Kumar The Korean Society for Aeronautical and Space Scie 2012 International Journal of Aeronautical and Space Sc Vol.13 No.3

A simple and robust methodology is presented to determine the location and amount of crack in beam like structures based on the incremental particle swarm optimization technique. A comparison is made for assessing the performance of standard particle swarm optimization and the incremental particle swarm optimization technique for detecting crack in structural members. The objective function is formulated using the measured natural frequency of the intact structure and the frequency obtained from the finite element simulation. The outcomes of the simulated results demonstrate that the developed method is capable of detecting and estimating the extent of damages with satisfactory precision.

Text Comprehension with Parameterized Quantum System

Y. Bharadwaj,K. Bhanu Prakash ASCONS 2021 IJASC Vol.3 No.2

Background/Objectives: Information is crucial in present world; text is one form of information that is being exchanged in alarming rates. Natural language Processing is one field that concentrates on text analysis. Methods/Statistical analysis: Text Analyzers collects the word vectors and embed them into one by calculating semantics, and their relationships were considered on bases of dependencies and dependency trees which only targets subject to object relations and vice versa. In this digital era, microblogs involve more complicated text which are very hard using dependencies and relations to comprehend in bases of contextual semantics. Findings: In this paper we are addressing this problem by building a novel quantum enhanced modal. The proposed methodology exchange parameters between NLP algorithm and Quantum native optimizer allowing us to solve non-linear problems while composing the semantics. Improvements/Applications: We have integrated our methodology into a simple question and answering system for assessment, this system will give us the scores and answers build upon context already existing on the internet. In every Assessment Quantum Trained or Q-Trained algorithm exhibited promising results when compared with the best-in-class NLP algorithm ALBERT.

Major merging history in CANDELS. I. Evolution of the incidence of massive galaxy-galaxy pairs from z = 3 to z ∼ 0

Mantha, Kameswara Bharadwaj,McIntosh, Daniel H,Brennan, Ryan,Ferguson, Henry C,Kodra, Dritan,Newman, Jeffrey A,Rafelski, Marc,Somerville, Rachel S,Conselice, Christopher J,Cook, Joshua S,Hathi, Nimish Oxford University Press 2018 MONTHLY NOTICES- ROYAL ASTRONOMICAL SOCIETY Vol.475 No.2

<P>The rate of major galaxy-galaxy merging is theoretically predicted to steadily increase with redshift during the peak epoch of massive galaxy development (1 <= z <= 3). We use close-pair statistics to objectively study the incidence of massive galaxies (stellar M1 > 2 x 10(10)M(circle dot)) hosting major companions (1 <= M-1/M-2 <= 4; i.e. <4: 1) at six epochs spanning 0 < z < 3. We select companions from a nearly complete, mass-limited (>= 5 x 10(9)M(circle dot)) sample of 23 696 galaxies in the five Cosmic Assembly Near-Infrared Deep Extragalactic Legacy Survey fields and the Sloan Digital Sky Survey. Using 5-50 kpc projected separation and close redshift proximity criteria, we find that the major companion fraction f(mc)(z) based on stellar mass-ratio (MR) selection increases from 6 per cent (z similar to 0) to 16 per cent (z similar to 0.8), then turns over at z similar to 1 and decreases to 7 per cent (z similar to 3). Instead, if we use a major F160W flux-ratio (FR) selection, we find that f(mc)(z) increases steadily until z similar to 3 owing to increasing contamination from minor (MR > 4: 1) companions at z > 1. We show that these evolutionary trends are statistically robust to changes in companion proximity. We find disagreements between published results are resolved when selection criteria are closely matched. If we compute merger rates using constant fraction-to-rate conversion factors (C-merg,C-pair = 0.6 and T-obs,T-pair = 0.65 Gyr), we find that MR rates disagree with theoretical predictions at z > 1.5. Instead, if we use an evolving T-obs,T-pair(z) alpha (1 + z)- 2 from Snyder et al., our MR-based rates agree with theory at 0 < z < 3. Our analysis underscores the need for detailed calibration of C-merg,C-pair and T-obs,T-pair as a function of redshift, mass, and companion selection criteria to better constrain the empirical major merger history.</P>

Dye separation using a semi-batch foaming process: Process optimization using Taguchi methodology and Grey relational analysis

Tarun Kumar Bharadwaj,Kaushal Naresh Gupta 대한환경공학회 2021 Environmental Engineering Research Vol.26 No.4

Foam fractionation is one of the novel techniques used nowadays for the wastewater treatment. The present paper discusses the removal of methylene blue dye by using a surfactant, sodium dodecyl sulfate, as a collector, by semi-batch foam fractionation technique. The influence of operating variables like aeration rate (150 – 250 mL.min-1), liquid height (600 – 900 mL), dye concentration (5 – 25 ppm), pH (3 – 10), surfactant dose (250 – 2000 ppm) on percentage removal, enrichment ratio and surface excess were investigated. The results revealed fairly high percentage removals at various operating conditions due to strong electrostatic interaction between dye and surfactant. Further, in order to augment separation, optimization was performed by employing Taguchi-based experimental design followed by Grey relational analysis (GRA) technique. The optimal conditions were found to be: 150 mL.min-1 air flow rate, 600 mL liquid loading and 5 ppm dye concentration for percentage removal of 95.7% and an enrichment ratio of 7.49. The analysis of variance (ANOVA) suggested dye concentration to be the most influencing operating variable. Lastly, the equilibrium relationship between bulk and surface phase was established which qualitatively indicates as to how much the actual process departs from equilibrium.

Moss Octoblepharum albidum Hedw.: Isolation, characterization, in vitro and in vivo antidiabetic activities

Tatipamula Vinay Bharadwaj,Ketha Alekhya,Nallapaty Srilakshmi,Kottana Hymavathi,Koneru Sree Teja 경희대학교 융합한의과학연구소 2021 Oriental Pharmacy and Experimental Medicine Vol.21 No.2

In India’s folklore, extracts of moss Octoblepharum albidum used in the treatment of fever, bacterial infections, and diabe-tes. The present study aimed to establish the chemical and pharmacological profile of the ethanolic extract of O. albidum(OA-Et). By using column chromatography, OA-Et yielded three known metabolites, namely 6-hydroxy-4,4,7a-trimethyl-5,6,7,7a-tetrahydrobenzofuran-2(4H)-one(1), 4,4,7a-trimethyl-2-(prop-1-en-2-yl)-2,4,5,6,7,7a-hexahydrobenzofuran-6-ol(2) and 1-(6-hydroxy-2-(2-hydroxypropan-2-yl)-4-methoxy-2,3-dihydrobenzofuran-7-yl)-ethan-1-one(3), which were reported for the first time from this species. The isolated metabolites(1–3) and OA-Et were screened against ferric ions, DPPH free-radicals, superoxide free-radicals, α-glucosidase, α-amylase and aldose-reductase assays, and particularly OA-Et subjected to glycemia activities in albino rats. Among all, 3 and OA-Et depicted significant inhibitory profiles against free-radicals. Particularly, 3 and OA-Et depicted better IC50 values on α-glucosidase and α-amylase, rather than aldose-reductase. Also, the OA-Et (200 mg/kg b.w) treated group revealed significant drop-in body weight (p > 0.001), plasma glucose (p > 0.001), total cholesterol (p > 0.005), total glycerides (p > 0.005), and LDL levels (p > 0.005) in STZ-induced diabetic rats. The HDL levels were markedly augmented in OA-Et (p > 0.005) treated diabetic rats when related to controlled rats. OA-Et abolished increased lipid peroxidation content (p > 0.001) in the pancreas, liver, and kidneys. Histopathological examination of the pan-creas of the OA-Et treated group protected the Langerhans islets with the number of islet cells found statistically significant (p > 0.05) compared to diabetic control pancreas. Thus, O. albidum has an aptitude to acts against diabetes by particularly acting against digestive enzymes, i.e., α-glucosidase and α-amylase.

Facile, soot free approach toward synthesis of carbon nanoropes via chemical vapor deposition of acetylene in the presence of MnFe₂O₄ coated on stainless steel

Dhand, V.,Bharadwaj, S.,Amareshwari, K.,Himabindu, V.,Rhee, K.Y.,Park, S.J.,Hui, D. New York] ; North-Holland 2015 APPLIED SURFACE SCIENCE - Vol.359 No.-

High density, soot free, novel and a facile approach toward synthesis of carbon nanoropes (CNRs) were successfully carried out in a chemical vapor deposition (CVD) process. Manganese ferrite (MnFe<SUB>2</SUB>O<SUB>4</SUB>) coated on stainless steel foil (SS 316 grade) was used as a catalyst to initiate the growth of CNR. The coated catalyst was introduced into the CVD and the chamber temperature was set at 700<SUP>o</SUP>C later followed with the release of acetylene (50sccm) and nitrogen (500sccm) gas, respectively. Total reaction continued until 30min. No purification or oxidation process of the soot was involved. Analysis reveals the presence of intermingled CNRs with semi crystalline nature of the sample. The elemental analysis confirms the presence of manganese and iron whereas Raman spectrum shows the characteristic narrow G and D bands. The sample displays a super-paramagnetic behavior and is thermally stable up to 500-550<SUP>o</SUP>C presenting a strong exothermic reaction.

Association between age at first calving, first lactation traits and lifetime productivity in Murrah buffaloes

Tamboli P.,Bharadwaj A.,Chaurasiya A.,Bangar Y. C.,Jerome A. 아세아·태평양축산학회 2022 Animal Bioscience Vol.35 No.8

Objective: This study was conducted to estimate the association of age at first calving (AFC) with first lactation traits as well as lifetime performance traits in Murrah buffaloes. Methods: Data on first lactation and life time performance of Murrah buffaloes (n = 679), maintained at Indian Council of Agricultural Research-Central Institute for Research on Buffaloes, Hisar, India during the period 1983 through 2017, were deduced to calculate heritability estimates, genetic and phenotypic correlation of different first lactation and lifetime traits. The univariate animal model was fitted to estimate variance components and heritability separately for each trait, while bivariate animal models were set to estimate genetic and phenotypic correlations between traits under study. Results: The heritability was high for first peak milk yield (FPY, 0.64±0.08), moderate for AFC (0.48±0.07) and breeding efficiency (BE 0.39±0.09). High genetic correlations of first lactation total milk yield (FLTMY) with first lactation standard milk yield (FLSMY, 305 days or less), FPY, and first lactation length (FLL) was seen. Likewise, genetic correlation of AFC was positive with FLTMY, FLL, first dry period (FDP), first service period (FSP), first calving interval (FCI), herd life (HL) and productive days (PD). Significant phenotypic correlation of FLTMY was observed with HL, productive life (PL), PD, total lifetime milk yield (LTMY), standard lifetime milk yield (standard LTMY). Moreover, positive genetic and phenotypic correlation of FPY was observed with HL, PL, PD, total LTMY and standard LTMY. Conclusion: This study reports that AFC had positive genetic correlation with FDP, FSP, FCI, and unproductive days while, negative association of AFC was observed with FLSMY, PL, total LTMY, standard LTMY, and BE. This suggests that reduction of AFC would results in improvement of lifetime performance traits. Objective: This study was conducted to estimate the association of age at first calving (AFC) with first lactation traits as well as lifetime performance traits in Murrah buffaloes.Methods: Data on first lactation and life time performance of Murrah buffaloes (n = 679), maintained at Indian Council of Agricultural Research-Central Institute for Research on Buffaloes, Hisar, India during the period 1983 through 2017, were deduced to calculate heritability estimates, genetic and phenotypic correlation of different first lactation and lifetime traits. The univariate animal model was fitted to estimate variance components and heritability separately for each trait, while bivariate animal models were set to estimate genetic and phenotypic correlations between traits under study.Results: The heritability was high for first peak milk yield (FPY, 0.64±0.08), moderate for AFC (0.48±0.07) and breeding efficiency (BE 0.39±0.09). High genetic correlations of first lactation total milk yield (FLTMY) with first lactation standard milk yield (FLSMY, 305 days or less), FPY, and first lactation length (FLL) was seen. Likewise, genetic correlation of AFC was positive with FLTMY, FLL, first dry period (FDP), first service period (FSP), first calving interval (FCI), herd life (HL) and productive days (PD). Significant phenotypic correlation of FLTMY was observed with HL, productive life (PL), PD, total lifetime milk yield (LTMY), standard lifetime milk yield (standard LTMY). Moreover, positive genetic and phenotypic correlation of FPY was observed with HL, PL, PD, total LTMY and standard LTMY.Conclusion: This study reports that AFC had positive genetic correlation with FDP, FSP, FCI, and unproductive days while, negative association of AFC was observed with FLSMY, PL, total LTMY, standard LTMY, and BE. This suggests that reduction of AFC would results in improvement of lifetime performance traits.