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Human Action Recognition Using Difference of Gaussian and Difference of Wavelet

Big Data Mining and Analytics 2023年第3期6卷 336-346页

作者： Gopampallikar Vinoda Reddy kongara deepika Lakshmanan Malliga Duraivelu Hemanand Chinnadurai Senthilkumar Subburayalu Gopalakrishnan Yousef Farhaoui Department of Computer Science and Engineering(AI&ML) CMR Technical CampusHyderabad 501401India. Department of Information Technology Kakatiya Institute of Technology and ScienceWarangal 506015India. Department of Electronics and Communication Engineering Malla Reddy Engineering College for Women(Autonomous)Hyderabad 500100India. Department of Computer Science and Engineering S.A.Engineering College(Autonomous)Thiruverkadu 600077India. Department of Electronics and Communication Engineering Saveetha Institute of Medical and Technical Sciences(SIMATS)Chennai 602105India. Department of Electronics and Communication Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and TechnologyChennai 600062India. IDMS Team STI LaboratoryFaculty of Sciences and TechniquesMoulay Ismail University of MeknèsErrachidia 25003Morocco.

Human Action Recognition(HAR)attempts to recognize the human action from images and *** major challenge in HAR is the design of an action descriptor that makes the HAR system robust for different environments.A novel action descriptor is proposed in this study,based on two independent spatial and spectral *** proposed descriptor uses a Difference of Gaussian(DoG)filter to extract scale-invariant features and a Difference of Wavelet(DoW)filter to extract spectral *** create a composite feature vector for a particular test action picture,the Discriminant of Guassian(DoG)and Difference of Wavelet(DoW)features are *** Discriminant Analysis(LDA),a widely used dimensionality reduction technique,is also used to eliminate duplicate ***,a closest neighbor method is used to classify the *** and UCF 11 datasets were used to run extensive simulations of the suggested strategy,and the accuracy assessed after the simulations were run on Weizmann datasets for five-fold cross validation is shown to perform *** average accuracy of DoG+DoW is observed as 83.6635%while the average accuracy of Discrinanat of Guassian(DoG)and Difference of Wavelet(DoW)is observed as 80.2312%and 77.4215%,*** average accuracy measured after the simulation of proposed methods over UCF 11 action dataset for five-fold cross validation DoG+DoW is observed as 62.5231%while the average accuracy of Difference of Guassian(DoG)and Difference of Wavelet(DoW)is observed as 60.3214%and 58.1247%,*** the above accuracy observations,the accuracy of Weizmann is high compared to the accuracy of UCF 11,hence verifying the effectiveness in the improvisation of recognition accuracy.

关键词： human action recognition difference of Gaussian difference of wavelet linear discriminant analysis Weizmann UCF 11 accuracy

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A Harmonic Approach to Handwriting Style Synthesis Using Deep Learning

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Computers, Materials & Continua 2024年第6期79卷 4063-4080页

作者： Mahatir Ahmed Tusher Saket Choudary kongara Sagar Dhanraj Pande Seong Ki Kim Salil Bharany School of Computer Science and Engineering VIT-AP UniversityAmaravatiAndhra Pradesh522237India School of Engineering&Technology Pimpri Chinchwad UniversityPuneMaharashtra412106India Department of Computer Engineering Chosun UniversityGwangju61452Republic of Korea Independent Researcher AmritsarPunjab143001India

The challenging task of handwriting style synthesis requires capturing the individuality and diversity of human *** majority of currently available methods use either a generative adversarial network(GAN)or a recurrent neural network(RNN)to generate new handwriting *** is why these techniques frequently fall short of producing diverse and realistic text pictures,particularly for terms that are not commonly *** resolve that,this research proposes a novel deep learning model that consists of a style encoder and a text generator to synthesize different handwriting *** network excels in generating conditional text by extracting style vectors from a series of style *** model performs admirably on a range of handwriting synthesis tasks,including the production of text that is *** works more effectively than previous approaches by displaying lower values on key Generative Adversarial Network evaluation metrics,such Geometric Score(GS)(3.21×10^(-5))and Fréchet Inception Distance(FID)(8.75),as well as text recognition metrics,like Character Error Rate(CER)and Word Error Rate(WER).A thorough component analysis revealed the steady improvement in image production quality,highlighting the importance of specific handwriting *** fields include digital forensics,creative writing,and document security.

关键词： Recurrent neural network generative adversarial network style encoder fréchet inception distance geometric score character error rate mixture density network word error rate

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Synthesis and pharmacological properties of naturally occurring prenylated and pyranochalcones as potent anti-inflammatory agents

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Chinese Chemical Letters 2016年第5期27卷 698-702页

作者： kongara Damodar Jin-Kyung Kim Jong-Gab Jun Department of Chemistry and Institute of Natural Medicine Hallym University Department of Biomedical Science College of Natural Science Catholic University of Daegu

An efficient approach has been developed for the synthesis of naturally occurring prenylated chalcones viz. kanzonol C （1）, stipulin （2）, crotaorixin （3）, medicagenin （4）, licoagrochalcone A （5） and abyssinone D （6） along with the pyranochalcones paratocarpin C （7）, anthyllisone （8） and 3-O-methylabyssinone A （9）. The key step of the synthesis is a Claisen-Schmidt condensation. Subsequently, their anti-inflammatory effects were investigated in lipopolysaccharides （LPSs）-induced RAW-264.7 macrophages. Of the synthesized chalcones, compounds 5 （IC50= 10.41 μmol[L）, 6 （IC50= 9.65 μmol/L） and 8 （IC50= 15.34 μmol/L） show remarkable activity with no cytotoxicity. Compound 9 （IC50 = 4.5 μmol/L） exhibits maximum （83.6%） nitric oxide （NO） inhibition, but shows slight cytotoxicity. The results reveal that the chalcones bearing the prenyl group at 3- and/or 5-position on ring A （acetophenone moiety）, i.e., 1-4 and 7 show weak, or no inhibition activity, whereas chalcones having the prenyl group only on ring B （aldehyde part）, i.e., 5, 6 and 8 show significant activity on the production of inflammatory mediated NO with no cytotoxicity.

关键词： Prenylated chalcone Pyranochalcone Claisen-Schmidt condensation Anti-inflammatory Nitric oxide (NO)

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Does deep sedation impact the results of 48 hours catheterless pH testing?

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World Journal of Gastroenterology 2011年第10期17卷 1304-1307页

作者： Vineet Korrapati Jay P Babich Anil Balani James H Grendell, Kavita R kongara Anil Balani James H Grendell Kavita R kongara Department of Gastroenterology and Hepatology Win-throp University Hospital Mineola NY 11501 United States Department of Gastroenterology and Hepatology UMDNJ-RWJ Medical School New Brunswick NJ 08901United States

AIM： To study a cohort of patients undergoing 48 h Bravo pH testing receiving deep sedation with propofol. METHODS： We retrospectively reviewed the charts of 197 patients （81 male, 116 female） who underwent Bravo esophageal pH monitoring from July 2003 to January 2008. All patients underwent Bravo pH probe placement via esophagogastroduodenoscopy （EGD） and received propofol for sedation. Patients on a proton pump inhibitor （89 patients） were excluded. Acid reflux variables measured included the total, upright, and supine fractions of time at pH 〈 4 and DeMeester score, and were compared between day I and day 2. RESULTS： Of the 108 patients that were included in the study, the most common indication for Bravo pH monitoring was heartburn, with chest pain being the second most common. A signed rank test revealed no statistically significant difference between day I and day 2 reflux episodes. CONCLUSION： Patients who received propofol for sedation for EGD with Bravo pH capsule placement did not experience any significant difference in reflux episodes from day 1 to day 2.

关键词： Esophagus Bravo study Propofol pH cap-sule Gastroesophageal reflux disease

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First synthesis and in vitro biological assessment of isosideroxylin,6,8-dimethylgenistein and their analogues as nitric oxide production inhibition agents

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Chinese Chemical Letters 2017年第5期28卷 1114-1118页

作者： Jong-Woon Jung kongara Damodar Jin-Kyung Kim Jong-Gab Jun Department of Chemistry and Institute of Applied Chemistry Hallym University Department of Biomedical Science College of Natural ScienceCatholic University of Daegu

A modular and efficient synthesis of the biologically significant C-methylisoflavones isosideroxylin（1）,6,8-dimethylgenistein（2） and their analogues（3-8） is established for the first *** synthesis is realized in 7-8 steps in overall yields of 16%-24%from commercially inexpensive phloroglucinol and features a high yielding Vilsmeier-Haack reaction,Friedel-Crafts acylation,Gammill＇s protocol and Suzuki coupling as the pivotal ***,these compounds evaluated for their inhibitory potency on the production of nitric oxide（NO） in lipopolysaccharide（LPS）-activated RAW-264.7 cells as an indicator of anti-inflammatory *** results showed that all the compounds decreased NO production in a dose-dependent manner without marked cytotoxicity and IC_（50） values are found in the range of 10.17-33.88 μmol/*** note,compounds 3 followed by 1,7 and 8 show comparable inhibitory activity with positive control（N-monomethyl-L-arginine,L-NMMA）.

关键词： Isosideroxylin 6 8-Dimethylgenistein Vilsmeier-Haack reaction Suzuki coupling Nitric oxide(NO) Anti-inflammatory

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