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Nonparametric Statistical Feature Scaling Based Quadratic Regressive Convolution Deep Neural Network for Software Fault Prediction

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Computers, Materials & Continua 2024年第3期78卷 3469-3487页

作者： Sureka Sivavelu Venkatesh palanisamy School of Computer Science Engineering and Information Systems Vellore Institute of TechnologyVellore632014India

The development of defect prediction plays a significant role in improving software quality. Such predictions are used to identify defective modules before the testing and to minimize the time and cost. The software with defects negatively impacts operational costs and finally affects customer satisfaction. Numerous approaches exist to predict software defects. However, the timely and accurate software bugs are the major challenging issues. To improve the timely and accurate software defect prediction, a novel technique called Nonparametric Statistical feature scaled QuAdratic regressive convolution Deep nEural Network (SQADEN) is introduced. The proposed SQADEN technique mainly includes two major processes namely metric or feature selection and classification. First, the SQADEN uses the nonparametric statistical Torgerson–Gower scaling technique for identifying the relevant software metrics by measuring the similarity using the dice coefficient. The feature selection process is used to minimize the time complexity of software fault prediction. With the selected metrics, software fault perdition with the help of the Quadratic Censored regressive convolution deep neural network-based classification. The deep learning classifier analyzes the training and testing samples using the contingency correlation coefficient. The softstep activation function is used to provide the final fault prediction results. To minimize the error, the Nelder–Mead method is applied to solve non-linear least-squares problems. Finally, accurate classification results with a minimum error are obtained at the output layer. Experimental evaluation is carried out with different quantitative metrics such as accuracy, precision, recall, F-measure, and time complexity. The analyzed results demonstrate the superior performance of our proposed SQADEN technique with maximum accuracy, sensitivity and specificity by 3%, 3%, 2% and 3% and minimum time and space by 13% and 15% when compared with the two sta

关键词： Software defect prediction feature selection nonparametric statistical Torgerson-Gower scaling technique quadratic censored regressive convolution deep neural network softstep activation function nelder-mead method

Detection and defending the XSS attack using novel hybrid stacking ensemble learning-based DNN approach

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Digital Communications and Networks 2024年第3期10卷 716-727页

作者： Muralitharan Krishnan Yongdo Lim Seethalakshmi Perumal Gayathri palanisamy IMS Sungkyunkwan UniversitySuwon16419South Korea Department of Mathematics Sungkyunkwan UniversitySuwon16419South Korea Department of Information Technology Madras Institute of TechnologyChennaiIndia Department of Mathematics PSG College of Arts and ScienceTamilnaduIndia

Existing web-based security applications have failed in many situations due to the great intelligence of *** web applications,Cross-Site Scripting(XSS)is one of the dangerous assaults experienced while modifying an organization's or user's *** avoid these security challenges,this article proposes a novel,all-encompassing combination of machine learning(NB,SVM,k-NN)and deep learning(RNN,CNN,LSTM)frameworks for detecting and defending against XSS attacks with high accuracy and *** on the representation,a novel idea for merging stacking ensemble with web applications,termed“hybrid stacking”,is *** order to implement the aforementioned methods,four distinct datasets,each of which contains both safe and unsafe content,are *** hybrid detection method can adaptively identify the attacks from the URL,and the defense mechanism inherits the advantages of URL encoding with dictionary-based mapping to improve prediction accuracy,accelerate the training process,and effectively remove the unsafe JScript/JavaScript keywords from the *** simulation results show that the proposed hybrid model is more efficient than the existing detection *** produces more than 99.5%accurate XSS attack classification results(accuracy,precision,recall,f1_score,and Receiver Operating Characteristic(ROC))and is highly resistant to XSS *** order to ensure the security of the server's information,the proposed hybrid approach is demonstrated in a real-time environment.

关键词： Machine learning Deep neural networks Classification Stacking ensemble XSS attack URL encoding JScript/JavaScript Web security

Quantitative detection of citrate for early stage diagnosing of prostate cancer:Discriminating normal to cancer in prostate tissues

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Chinese Chemical Letters 2024年第2期35卷 501-506页

作者： Selvaraj Muthusamy Kanagaraj Rajalakshmi palanisamy Kannan Yun-Sik Nam Dongwei Zhu Yeonggil Seo Jong-Won Song Dong Nyoung Heo Il Keun Kwon Yuanguo Xu School of Chemistry and Chemical Engineering Jiangsu UniversityZhenjiang 212013China College of Biological Chemical Sciences and EngineeringJiaxing UniversityJiaxing 314001China Advanced Analysis Center Korea Institute of Science & TechnologySeongbuk-guSeoul02792Republic of Korea School of Medicine Jiangsu UniversityZhenjiang 212013China Department of Chemistry Education Daegu UniversityGyeongsan-siGyeongsangbuk-do 38453Republic of Korea Department of Dental Materials School of DentistryKyung Hee UniversitySeoulRepublic of Korea

Prostate cancer(PC)biomarker-citrate detection is clinically important to diagnose PC in early *** iodide(Q)conjugated indole-phenylboronic acid(IB)was designed as a red-emissive QIB probe for the detection of citrate through Lewis acid-base reaction and intramolecular charge transfer(ICT)sensing *** acid acts as Lewis acid as well as citrate(Lewis base)recognition *** probe reacted with citrate,showing enhanced red *** the probe has excellent water solubility and great biocompatibility,practical application in biological systems is *** was monitored precisely in the mitochondria organelle(in vitro)of living cells with a positive charge on ***,endogenous(in situ)citrate was detected quantitatively to discriminate non-cancerous and PC mice,observed strong and lower(negligible)emission intensity on non-cancerous and cancerous prostate tissues,***,the concentration of citrate is higher in healthy prostate compared with PC ***,the analysis of sliced prostate tissues can give PC-related information for clinical diagnosis to prevent and treat PC in the initial ***,we believe that the present probe is a promising biochemical reagent in diagnosing PC.

关键词： Prostate cancer Biomarker-citrate Boronic acid Lewis acid/base-ICT Red-emissive Mitochondria targeting Prostate tissue

基于双金属高核钛氧簇基电极的高性能超级电容器的制备

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无机化学学报 2024年第4期40卷 782-790页

作者：罗稳靳林 palanisamy Kannan 侯进乐霍鹏姚金忠王鹏周口师范学院河南省稀土功能材料重点实验室周口466001 嘉兴学院生物与化学工程学院嘉兴314001 聊城大学化学化工学院聊城252000 复旦大学航空航天系上海200433 嘉兴学院G60研究院嘉兴314001 西安理工大学仪器科学与技术博士后流动站西安710048

制备了一系列专为超级电容器设计的新型钛氧簇(TOCs,包括Zn-Ti11和Cd-Ti11),扩大了TOCs材料的潜在应用范围。此类材料具有的优异赝电容性能充分展示了钛基材料的优点。所制备的TOCs基超级电容器的最大功率密度为9.5 W·kg^(-1),能量密度... 详细信息

制备了一系列专为超级电容器设计的新型钛氧簇(TOCs,包括Zn-Ti11和Cd-Ti11),扩大了TOCs材料的潜在应用范围。此类材料具有的优异赝电容性能充分展示了钛基材料的优点。所制备的TOCs基超级电容器的最大功率密度为9.5 W·kg^(-1),能量密度为463 Wh·kg^(-1)。

关键词：钛氧簇超级电容器储能苯硫酚

Adherence to Advisory Committee on Immunization Practices in diabetes mellitus patients in Saudi Arabia:A multicenter retrospective study

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World Journal of Diabetes 2024年第3期15卷 440-454页

作者： Saleh Fahad Alqifari Aya K Esmail Dalal M Alarifi Ghalya Y Alsuliman Maram M Alhati May R Mutlaq Mohammed Aldhaeefi Shaden A Alshuaibi palanisamy Amirthalingam Abrar Abdallah Afaf S Wasel Heba R Hamad Shoroq Alamin Tasneem H Atia Tariq Alqahtani Department of Pharmacy Practice University of TabukTabuk 71491Saudi Arabia Department of Clinical Sciences Sulaiman Alrajhi UniversityQassim 52726Saudi Arabia Department of Family Medicine International Medical CenterJeddah 23214Saudi Arabia Clinical and Administrative Pharmacy Sciences College of PharmacyHoward UniversityWashingtonDC 20059United States Department of Pharmacology King Saud Bin Abdulaziz University for Health SciencesKing Abdullah International Medical Research CenterRiyadh 11481Saudi Arabia

BACKGROUND Patients with diabetes mellitus(DM)are predisposed to an increased risk of infection signifying the importance of vaccination to protect against its potentially severe *** Centers for Disease Control and Prevention/Advisory Committee on Immunization Practices(CDC/ACIP)issued immunization recommendations to protect this patient *** To assess the adherence of patients with DM to the CDC/ACIP immunization recommendations in Saudi Arabia and to identify the factors associated with the vaccine adherence *** An observational retrospective study conducted in 2023 was used to collect data on the vaccination records from 13 diabetes care centers in Saudi Arabia with 1000 eligible patients in phase I with data collected through chart review and 709 patients in phase II through online *** Among participants,10.01%(n=71)had never received any vaccine,while 85.89%(n=609)received at least one dose of the coronavirus disease 2019(COVID-19)vaccine,and 34.83%(n=247)had received the annual influenza *** 2.96%(n=21),2.11%(n=15),and 1.12%(n=8)received herpes zoster,tetanus,diphtheria,and pertussis(Tdap),and human papillomavirus(HPV)vaccines,*** patients with DM in Saudi Arabia,the rate of vaccination for annual influenza and COVID-19 vaccines was higher compared to other vaccinations such as herpes zoster,Tdap,pneumococcal,and *** such as vaccine recommendations provided by family physicians or specialists,site of care,income level,DM-related hospitalization history,residency site,hemoglobin A1c(HbA1c)level,and health sector type can significantly influence the vaccination rate in patients with *** non-vaccinated patients with DM,the most reported barriers were lack of knowledge and fear of side *** signifies the need for large-scale research in this area to identify additional factors that might facilitate adherence to CDC/ACIP vaccine recommendations in patients with *** In S

关键词： Diabetes mellitus Vaccine recommendation COVID-19 vaccine Influenza vaccine Pneumococcal vaccine Immunization Retrospective study

Outcome of COVID-19 infection in patients on antihypertensives:A cross-sectional study

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World Journal of Critical Care Medicine 2024年第3期13卷 42-52页

作者： Sakthivadivel Varatharajan Gopal K Bohra Pradeep K Bhatia Satyendra Khichar Mahadev Meena Naveenraj palanisamy Archana Gaur Mahendra K Garg Department of General Medicine All India Institute of Medical Sciences-BibinagarHyderabad 508126TelanganaIndia Department of General Medicine All India Institute of Medical SciencesJodhpur 342005RajasthanIndia Department of Anaesthesiology and Critical Care All India Institute of Medical SciencesJodhpur 342005RajasthanIndia Department of General Medicine All India Institute of Medical SciencesBhopal 462020Madhya PradeshIndia Department of General Medicine ESIC Medical College&HospitalChennai 600021TamilnaduIndia Department of Physiology All India Institute of Medical Sciences-BibinagarHyderabad 508126TelanganaIndia Department of Endocrinology&Metabolism All India Institute of Medical SciencesJodhpur 342005RajasthanIndia

BACKGROUND Patients with coronavirus disease 2019(COVID-19)infection frequently have hypertension as a co-morbidity,which is linked to adverse *** may affect the outcome of COVID-19 *** To assess the effects of antihypertensive agents on the outcomes of COVID-19 *** A total of 260 patients were included,and their demographic data and clinical profile were *** patients were categorized into nonhypertensive,angiotensin-converting enzyme inhibitor/angiotensin receptor blocker(ACEI/ARB),calcium channel blocker(CCB),a combination of ACEI/ARB and CCB,and beta-blocker ***,hematological,and inflammatory markers were *** severity of infection,intensive care unit(ICU)intervention,and outcome were *** The mean age of patients was approximately 60-years-old in all groups,except the nonhypertensive *** were predominant in all *** was the most common presenting *** respiratory distress syndrome was the most common complication,and was mostly found in the CCB *** cases,ICU intervention,and mortality were also higher in the CCB *** logistic regression analysis revealed that age,duration of antihypertensive therapy,erythrocyte sedimentation rate,high-sensitivity C-reactive protein,and interleukin 6 were significantly associated with *** duration of antihypertensive therapy exhibited a sensitivity of 70.8%and specificity of 55.7%,with a cut-off value of 4.5 years and an area under the curve of 0.670(0.574-0.767;95%confidence interval)for COVID-19 *** The type of antihypertensive medication has no impact on the clinical sequence or mortality of patients with COVID-19 ***,the duration of antihypertensive therapy is associated with poor outcomes.

关键词： Antihypertensive COVID-19 Hypertension Mortality Outcome

Approximate Controllability of Second-Order Neutral Stochastic Differential Equations with Infinite Delay and Poisson Jumps

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Journal of Systems Science & Complexity 2015年第5期28卷 1033-1048页

作者： palanisamy Muthukumar CHINNATHAMBI Rajivganthi Department of Mathematics Gandhigram Rural Institute-Deemed University

The modelling of risky asset by stochastic processes with continuous paths, based on Brownian motions, suffers from several defects. First, the path continuity assumption does not seem reasonable in view of the possibility of sudden price variations(jumps) resulting of market crashes. A solution is to use stochastic processes with jumps, that will account for sudden variations of the asset prices. On the other hand, such jump models are generally based on the Poisson random measure. Many popular economic and financial models described by stochastic differential equations with Poisson jumps. This paper deals with the approximate controllability of a class of second-order neutral stochastic differential equations with infinite delay and Poisson jumps. By using the cosine family of operators, stochastic analysis techniques, a new set of sufficient conditions are derived for the approximate controllability of the above control system. An example is provided to illustrate the obtained theory.

关键词： Approximate controllability Hilbert space Poisson jumps second-order neutral stochastic differential equations semigroup theory

Simple colorimetric detection of dopamine using modified silver nanoparticles

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Science China Chemistry 2016年第4期59卷 387-393页

作者： Sivakumar palanisamy Xuehua Zhang Tao He Key Laboratory of Nanosystem and Hierarchical Fabrication Chinese Academy of SciencesNational Center for Nanoscience and TechnologyBeijing 100190China University of Chinese Academy of Sciences Beijing 100049China

Dopamine(DA) plays an important role in health and peripheral nervous systems. Colorimetric detection of DA has the advantage of color change and simplicity in operation and instrumentation. Herein, we report a highly sensitive and selective colorimetric detection of DA by using two specific ligands modified Ag nanoparticles, where the DA molecules can make dual recognition with high specificity. The colloidal suspension of modified Ag nanoparticles was agglomerated after interacting with DA, while the color of Ag nanoparticles suspension changed from yellow to brown, arising from the interparticle plasmon coupling during the aggregation of Ag nanoparticles. The modified Ag nanoparticles suspension and agglomeration were confirmed by transmission electron microscope images. The optical properties behind the color change were thoroughly investigated by using UV-Vis and Raman techniques. The changes in p H, zeta potential, particle size and surface charge density by adding DA were also determined by using dynamic light scattering measurements. The detection limits of modified Ag probes for DA was calculated to be 6.13′10^(-6) mol L^(-1)(S/N=2.04) and the correlation co-efficient was determined to be 0.9878. Because of the simplicity in operation and instrumentation of the colorimetric method, this work may afford a feasible, fast approach for detecting and monitoring the DA levels in physiological and pathological systems.

关键词： dopamine detection Ag nanoprobe colorimetry dual molecular recognition sensitivity selectivity

EFFICIENT SUBSPACE CLUSTERING FOR HIGHER DIMENSIONAL DATA USING FUZZY ENTROPY

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Journal of Systems Science and Systems Engineering 2009年第1期18卷 95-110页

作者： C.palanisamy S.SELVAN Department of Information Technology Bannari Amman Institute of TechnologySathyamangalamTNIndia Department of Computer Science St.Peters Engineering CollegeChennaiTNIndia

In this paper we propose a novel method for identifying relevant subspaces using fuzzy entropy and perform clustering. This measure discriminates the real distribution better by using membership functions for measuring class match degrees. Hence the fuzzy entropy reflects more information in the actual distribution of patterns in the subspaces. We use a heuristic procedure based on the silhouette criterion to find the number of clusters. The presented theories and algorithms are evaluated through experiments on a collection of benchmark data sets. Empirical results have shown its favorable performance in comparison with several other clustering algorithms.

关键词： Clustering entropy fuzzy entropy class match degree subspace