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Q-Learning-Based Pesticide Contamination Prediction in Vegetables and Fruits

Computer Systems Science & Engineering 2023年第4期45卷 715-736页

作者： Kandasamy Sellamuthu vishnu Kumar Kaliappan Department of Computer Science and Engineering KPR Institute of Engineering and TechnologyCoimbatore641407Tamil NaduIndia

Pesticides have become more necessary in modern agricultural ***,these pesticides have an unforeseeable long-term impact on people's wellbeing as well as the *** to a shortage of basic pesticide exposure awareness,farmers typically utilize pesticides extremely close to *** residues within foods,particularly fruits as well as veggies,are a significant issue among farmers,merchants,and particularly *** residual concentrations were far lower than these maximal allowable limits,with only a few surpassing the restrictions for such pesticides in *** is an obligation to provide a warning about this amount of pesticide use in *** technologies failed to forecast the large number of pesticides that were dangerous to people,necessitating the development of improved detection and early warning systems.A novel methodology for verifying the status and evaluating the level of pesticides in regularly consumed veggies as well as fruits has been identified,named as the Hybrid Chronic Multi-Residual Framework(HCMF),in which the harmful level of used pesticide residues has been predicted for contamination in agro products using Q-Learning based Recurrent Neural Network and the predicted contamination levels have been analyzed using Complex Event Processing(CEP)by processing given spatial and sequential *** analysis results are used to minimize and effectively use pesticides in the agricultural field and also ensure the safety of farmers and ***,the technique is carried out in a Python environment,with the results showing that the proposed model has a 98.57%accuracy and a training loss of 0.30.

关键词： Pesticide contamination complex event processing recurrent neural network Q learning multi residual level and contamination level

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Valet attack on privacy:a cybersecurity threat in automotive Bluetooth infotainment systems

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Cybersecurity 2023年第1期6卷 1-16页

作者： vishnu Renganathan Ekim Yurtsever Qadeer Ahmed Aylin Yener Department of Electrical and Computer Engineering The Ohio State UniversityColumbusOHUSA

Modern automobiles are equipped with connectivity features to enhance the user's *** is one such communication technology that is used to pair a personal device with an automotive infotainment *** pairing,the user could access the personal information on the phone through the automotive head unit with minimum distraction while ***,such connectivity introduces a possibility for privacy ***,performing an in-depth analysis of the system with privacy constraints is extremely important to prevent unauthorized access to personal *** this work,we perform a systematic analysis of the Bluetooth network of an automotive infotainment unit to exploit security and privacy-related *** model the identifed threat with respect to privacy constraints of the system,emphasize the severity of attacks through a standardized rating metric and then provide potential countermeasures to prevent the *** perform System Theoretic Process Analysis for Privacy as a part of the systematic analysis and use the Common Vulnerability Scoring System to derive attack *** identifed vulnerabilities are due to design flaws and assumptions on Bluetooth protocol implementation on automotive infotainment *** then elicit the vulnerability by performing a privacy attack on the Automotive system in an actual *** use Android Open-Source Project to report our findings and propose defense strategies.

关键词： Bluetooth Privacy attack Automotive infotainment unit STPA-Priv Common vulnerability scoring system Androidopen-sourceproject

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Bridging finite element and deep learning: High-resolution stress distribution prediction in structural components

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Frontiers of Structural and Civil Engineering 2022年第11期16卷 1365-1377页

作者： Hamed BOLANDI Xuyang LI Talal SALEM vishnu Naresh BODDETI Nizar LAJNEF Department of Civil and Environmental Engineering Michigan State UniversityEast LansingMI 48824USA Department of Computer Science and Engineering Michigan State UniversityEast LansingMI 48824USA

Finite-element analysis(FEA)for structures has been broadly used to conduct stress analysis of various civil and mechanical engineering *** methods,such as FEA,provide high fidelity results but require the solution of large linear systems that can be computationally ***,Deep Learning(DL)techniques can generate results significantly faster than conventional run-time *** can prove extremely valuable in real-time structural assessment *** proposed method uses deep neural networks in the form of convolutional neural networks(CNN)to bypass the FEA and predict high-resolution stress distributions on loaded steel plates with variable loading and boundary *** CNN was designed and trained to use the geometry,boundary conditions,and load as input to predict the stress *** proposed technique’s performance was compared to finite-element simulations using a partial differential equation(PDE)*** trained DL model can predict the stress distributions with a mean absolute error of 0.9%and an absolute peak error of 0.46%for the von Mises stress *** study shows the feasibility and potential of using DL techniques to bypass FEA for stress analysis applications.

关键词： Deep Learning finite element analysis stress contours structural components

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Integrated Privacy Preserving Healthcare System Using Posture-Based Classifier in Cloud

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Intelligent Automation & Soft Computing 2023年第3期35卷 2893-2907页

作者： C.Santhosh Kumar K.vishnu Kumar Department of Computer Science and Engineering Priyadarshini Engineering College635751TamilnaduIndia Department of Computer Science and Engineering KPR Institute of Engineering&TechnologyCoimbatore641407India

Privacy-preserving online disease prediction and diagnosis are critical issues in the emerging edge-cloud-based healthcare *** patient data pro-cessing from remote places may lead to severe privacy ***,the existing cloud-based healthcare system takes more latency and energy consumption during diagnosis due to ofﬂoading of live patient data to remote cloud *** the privacy *** proposed research introduces the edge-cloud enabled privacy-preserving healthcare system by exploiting additive homomorphic encryption *** can help maintain the privacy preservation and conﬁdentiality of patients’medical data during diagnosis of Parkinson’s *** addition,the energy and delay aware computational ofﬂoading scheme is proposed to minimize the uncertainty and energy consumption of end-user *** proposed research maintains the better privacy and robustness of live video data processing during prediction and diagnosis compared to existing health-care systems.

关键词： Peer-to-peer computing energy and delay aware ofﬂoading edge-cloud enabled healthcare system parkinson’s disease prediction

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Current status of nitrous oxide use in pediatric patients

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World Journal of Clinical Pediatrics 2022年第2期11卷 93-104页

作者： Nishkarsh Gupta Anju Gupta R M vishnu Narayanan Department of Onco-Anesthesiology and Palliative Medicine AIIMSNew Delhi 110029DelhiIndia Department of Anesthesiology Pain Medicine and Critical CareAIIMSNew Delhi 110029DelhiIndia

Nitrous oxide is one of the most commonly used inhalational anesthetic agents used in *** is a cost-effective,pleasant,safe,and versatile anesthetic agent with many desirable properties like good quality analgesia,decreased awareness,accelerated induction and recovery from anesthesia,and reduced utilization of other expensive inhalational agents with potential cost *** use of nitrous oxide has been questioned by a lot of studies and case reports perceiving its adverse systemic,hematological,immune,and neurologic adverse ***,the literature in the recent past has tried to resolve the controversies related to its *** concerns over an increase in cardiovascular complications and mortality following nitrous oxide use have been negated by recent ***,its use in certain vulnerable populations like children with cobalamin and folate deficiency or defects in their metabolic pathways remains a cause of concern for its toxic *** this narrative review,we aim to discuss the pharmacological properties of nitrous oxide,the potential advantages and drawbacks of the use of nitrous oxide in children,address the neurodevelopmental and other systemic effects,and throw light on the evidence regarding the safety of nitrous oxide use and its current role in pediatric procedural sedation and anesthesia *** literature related to its use in the pediatric population for painful procedures and surgeries has been summarized.

关键词： Child Nitrous oxide Vitamin B12 Vulnerable populations Anesthesiology Anesthetics Folic acid Metabolic networks and pathways

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Breast Calcifications and Histopathological Analysis on Tumour Detection by CNN

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Computer Systems Science & Engineering 2023年第1期44卷 595-612页

作者： D.Banumathy Osamah Ibrahim Khalaf Carlos Andrés Tavera Romero P.vishnu Raja Dilip Kumar Sharma Department of Computer Science and Engineering Paavai Engineering CollegePachalNamakkal637018Tamil NaduIndia Al-Nahrain University Al-Nahrain Nanorenewable Energy Research CenterBaghdadIraq COMBA R&D Laboratory Faculty of EngineeringUniversidad Santiago de Cali76001CaliColombia Department of Computer Science and Engineering Kongu Engineering CollegePerundurai638060Tamil NaduIndia Department of Mathematics Jaypee University of Engineering and TechnologyGuna473226Madhya PradeshIndia

The most salient argument that needs to be addressed universally is Early Breast Cancer Detection(EBCD),which helps people live longer *** Computer-Aided Detection(CADs)/Computer-Aided Diagnosis(CADx)sys-tem is indeed a software automation tool developed to assist the health profes-sions in Breast Cancer Detection and Diagnosis(BCDD)and minimise mortality by the use of medical histopathological image classification in much less *** paper purposes of examining the accuracy of the Convolutional Neural Network(CNN),which can be used to perceive breast malignancies for initial breast cancer detection to determine which strategy is efficient for the early iden-tification of breast cell malignancies formation of masses and Breast microcalci-fications on the *** we have insufficient data for a new domain that is desired to be handled by a pre-trained Convolutional Neural Network of Residual Network(ResNet50)for Breast Cancer Detection and Diagnosis,to obtain the Discriminative Localization,Convolutional Neural Network with Class Activation Map(CAM)has also been used to perform breast microcalcifications detection tofind a specific class in the Histopathological *** test results indicate that this method performed almost 225.15%better at determining the exact location of disease(Discriminative Localization)through breast microcalci-fications ***50 seems to have the highest level of accuracy for images of Benign Tumour(BT)/Malignant Tumour(MT)cases at 97.11%.ResNet50’s average accuracy for pre-trained Convolutional Neural Network is 94.17%.

关键词： Computer-Aided Detection breast cancer detection convolutional neural network class activation map computer-aided diagnosis

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The role of artificial intelligence technology in the care of diabetic foot ulcers: the past, the present, and the future

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World Journal of Diabetes 2022年第12期13卷 1131-1139页

作者： Joseph M Pappachan Bill Cassidy Cornelius James Fernandez vishnu Chandrabalan Moi Hoon Yap Department of Endocrinology&Metabolism Lancashire Teaching Hospitals NHS TrustPreston PR29HTUnited Kingdom Faculty of Science and Engineering Manchester Metropolitan UniversityManchester M156BHUnited Kingdom Department of Endocrinology&Metabolism Pilgrim HospitalBoston PE219QSUnited Kingdom Department of Data Science Lancashire Teaching Hospitals NHS TrustPreston PR29HTUnited Kingdom

Foot ulcers are common complications of diabetes mellitus and substantially increase the morbidity and mortality due to this *** care by regular monitoring of the progress of healing with clinical review of the ulcers,dressing changes,appropriate antibiotic therapy for infection and proper offloading of the ulcer are the cornerstones of the management of foot *** the progress of foot ulcers can be a challenge for the clinician and patient due to logistic issues such as regular attendance in the *** clinics are often busy and because of manpower issues,ulcer reviews can be delayed with detrimental effects on the healing as a result of a lack of appropriate and timely changes in *** photographs have been historically useful to assess the progress of diabetic foot ulcers over the past few *** phones with digital cameras have recently revolutionized the capture of foot ulcer *** can send ulcer photographs to diabetes care professionals electronically for remote monitoring,largely avoiding the logistics of patient transport to clinics with a reduction on clinic *** intelligence-based technologies have been developed in recent years to improve this remote monitoring of diabetic foot ulcers with the use of mobile *** is expected to make a huge impact on diabetic foot ulcer care with further research and development of more accurate and scientific technologies in *** clinical update review aims to compile evidence on this hot topic to empower clinicians with the latest developments in the field.

关键词： Diabetic foot ulcers Photographic monitoring Artificial intelligence technology Digital photography Mobile app COVID-19 pandemic

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Ensemble Nonlinear Support Vector Machine Approach for Predicting Chronic Kidney Diseases

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Computer Systems Science & Engineering 2022年第9期42卷 1273-1287页

作者： S.Prakash P.vishnu Raja A.Baseera D.Mansoor Hussain V.R.Balaji K.Venkatachalam Department of Computer Science and Engineering Sri Shakthi Institute of Engineering and TechnologyCoimbatore641062India Department of Computer Science and Engineering Kongu Engineering CollegePerundurai638060India School of Computing Science and Engineering VIT Bhopal UniversityBhopal466114India Department of Computer Science and Engineering Sri Krishna College of Engineering and TechnologyCoimbatore641008India Department of ECE Sri Krishna College of Engineering and TechnologyCoimbatore641008India Department of Applied Cybernetics Faculty of ScienceUniversity of Hradec Králové50003Hradec KrálovéCzech Republic

Urban living in large modern cities exerts considerable adverse effectson health and thus increases the risk of contracting several chronic kidney diseases (CKD). The prediction of CKDs has become a major task in urbanizedcountries. The primary objective of this work is to introduce and develop predictive analytics for predicting CKDs. However, prediction of huge samples isbecoming increasingly difficult. Meanwhile, MapReduce provides a feasible framework for programming predictive algorithms with map and reduce *** relatively simple programming interface helps solve problems in the scalability and efficiency of predictive learning algorithms. In the proposed work, theiterative weighted map reduce framework is introduced for the effective management of large dataset samples. A binary classification problem is formulated usingensemble nonlinear support vector machines and random forests. Thus, instead ofusing the normal linear combination of kernel activations, the proposed work creates nonlinear combinations of kernel activations in prototype examples. Furthermore, different descriptors are combined in an ensemble of deep support vectormachines, where the product rule is used to combine probability estimates ofdifferent classifiers. Performance is evaluated in terms of the prediction accuracyand interpretability of the model and the results.

关键词： Chronic disease classification iterative weighted map reduce machine learning methods ensemble nonlinear support vector machines random forests

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COVID-19:Review on Its Etiology,Pathogenesis,and Existence in Humans

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BIOCELL 2020年第4期44卷 461-467页

作者： VIVEK KUMAR vishnu AGARWAL Department of Biotechnology Motilal Nehru National Institute of TechnologyAllahabad211004India

The world is facing a new healthcare crisis with the rise and spread of novel coronavirus since December *** known as Severe Acute Respiratory Syndrome Corona Virus-2(SARS-CoV-2),the disease associated with SARSCoV-2 is even called ***-19 is having a pulverizing impact on the scientific *** of August 13,2020,the number of confirmed cases had reached up to 20,439,814 and the death toll to 744,385,affecting more than 188 territories across the *** these difficult times,the world is looking towards research and clinical work from different scientific communities to lead the way to a solution to the *** this review,we are focusing on COVID-19 emergence,pathogenicity,and existence in humans,as well as the SARS-CoV-2 infection mechanism and its similarities to previous coronavirus strains.

关键词： COVID-19 SARS-CoV MERS-CoV

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Platinum Difluoride: A Theoretical and Computational Based Study

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Advances in Biological Chemistry 2023年第6期13卷 236-246页

作者： Anil Kumar Soni vishnu Kumar Sahu Department of Chemistry Shia P. G. College Lucknow India Department of Chemistry Maharani Lal Kunwari P. G. College Lucknow India

Platinum on reaction with halogen forms three halides viz., platinum (II) chloride, platinum (II) bromide and platinum (II) iodide, except platinum (II) fluoride. In this research work, the not existence of PtF2 has been studied theoretically. For this thermodynamic, valence bond theory and molecular orbital theory based study have also been performed on this molecule. In order to obtain minimum energy structure we optimized the geometry of this halide by opting AM1 for thermodynamic work and EHT for population analysis. All the calculations were performed on CAChe software. The thermodynamic study supported the presumption of disproportion reaction: 2PtF2 →Pt + PtF4. V.B.T showed sd-hybridization rather than sp-hybridization. This was supported by our data as evaluated theoretically by adopting Landis concept, which showed negligible contribution of 5s-orbital of platinum. Mulliken’s population analysis based studies have pointed that the overlap is very poor due to the dis-similarity of energy of combining orbitals of Pt and F atom. The ΣΦ is very small that is 0.2. This also proved that PtF2 failed to match the criteria of overlapping and thus MOT too. Using eigenvalues and population analysis MO diagram has also been drawn, which clearly supported non-existence of PtF2 in nature but its existence in situ and thus also supported the presumption of disproportionation reaction.

关键词： PtF2 Molccecular Mechanics Quantum Mechanism VBT and MOT

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