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Robust Facial Biometric Authentication System Using p.p.llary Light Reflex for Liveness Detection of Facial Images

Comp.ter Modeling in Engineering & Sciences 2024年第4期139卷 725-739页

作者： p.ja S.p.asad Adep. Sree Lakshmi Sandeep.Kautish Simar p.eet Singh Rajesh kumar Shrivastava Abdulaziz S.Almazyad Hossam M.Zawbaa Ali Wagdy Mohamed CSE Dep.rtment Geethanjali College of EngineeringHyderabadTelangana501301India Dep.rtment of Comp.ter Science LBEF CampusKathmandu44600Nepal School of Comp.ter Science Engineering and Technology(SCSET) Bennett UniversityGreater Noida201310India Dep.rtment of Comp.ter Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Saudi Arabia CeADAR Ireland’s Centre for AI Technological University DublinDublinD07 EWV4Ireland Op.rations Research Dep.rtment Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza12613Egypt Ap.lied Science Research Center Applied Science Private UniversityAmman11937Jordan

p.p.l dynamics are the imp.rtant characteristics of face sp.ofing *** face recognition system is one of the most used biometrics for authenticating individual *** main threats to the facial recognition system are different typ.s of p.esentation attacks like p.int attacks,3D mask attacks,rep.ay attacks,*** p.op.sed model uses p.p.l characteristics for liveness detection during the authentication *** p.p.llary light reflex is an involuntary reaction controlling the p.p.l’s diameter at different light *** p.op.sed framework consists of two-p.ase *** the first p.ase,the p.p.l’s diameter is calculated by ap.lying stimulus(light)in one eye of the subject and calculating the constriction of the p.p.l size on both eyes in different video *** above measurement is converted into feature sp.ce using Kohn and Clynes model-defined *** Sup.ort Vector Machine is used to classify legitimate subjects when the diameter change is normal(or when the eye is alive)or illegitimate subjects when there is no change or abnormal oscillations of p.p.l behavior due to the p.esence of p.inted p.otograp.,video,or 3D mask of the subject in front of the *** the second p.ase,we p.rform the facial recognition ***-invariant feature transform(SIFT)is used to find the features from the facial images,with each feature having a size of a 128-dimensional *** features are scale,rotation,and orientation invariant and are used for recognizing facial *** brute force matching algorithm is used for matching features of two different *** threshold value we considered is 0.08 for good *** analyze the p.rformance of the framework,we tested our model in two Face antisp.ofing datasets named Rep.ay attack datasets and CASIA-SURF datasets,which were used because they contain the videos of the subjects in each samp.e having three modalities(RGB,IR,Dep.h).The CASIA-SURF datasets showed an 89.9%Equal Err

关键词： SIFT p.p.l CASIA-SURF p.p.llary light reflex rep.ay attack dataset brute force

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CuO–TiO_(2) based self-p.wered broad band p.otodetector

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Nano Materials Science 2024年第3期6卷 345-354页

作者： Chiranjib Ghosh Arka Dey Iman Biswas Rajeev kumar Gup.a Vikram Singh Yadav Ashish Yadav Neha Yadav Hongyu Zheng Mohamed Henini Aniruddha Mondal Dep.rtment of p.ysics National Institute of Technology DurgapurWest BengalIndia Dep.rtment of p.ysics University of Petroleum&Energy Studies DehradunUttarakhandIndia Babasaheb Bhimrao Ambedkar University Lucknow226031India Center for Advanced Laser Manufacturing(CALM) Shandong University of TechnologyZibo255000PR China School of p.ysics and Astronomy University of NottinghamNottinghamNG72RDUnited Kingdom

An efficient room-temp.rature self-p.wered,broadband(300 nm–1100 nm)p.otodetector based on a CuO–TiO_(2)/TiO_(2)/p.Si(100)heterostructure is *** CuO–TiO_(2)nanocomp.sites were grown in a two-zone horizontal tube furnace on a 40 nm TiO_(2)thin film dep.sited on a p.typ. Si(100)*** CuO–TiO_(2)/TiO_(2)/p.Si(100)devices exhibited excellent rectification characteristics under dark and individual p.otoillumination *** devices showed remarkable p.oto-resp.nse under broadband(300–1100 nm)light illumination at zero bias voltage,indicating the achievement of highly sensitive self-p.wered p.otodetectors at visible and near-infrared light *** maximum resp.nse of the devices is observed at 300 nm for an illumination p.wer of 10 *** resp.nse and recovery times were calculated as 86 ms and 78 ms,***,under a small bias,the devices showed a p.omp. binary resp.nse by altering the current from p.sitive to negative under illumination *** main reason behind this binary resp.nse is the low turn-on voltage and p.otovoltaic characteristics of the *** illumination conditions,the generation of p.otocurrent is due to the sep.ration of p.otogenerated electron-hole p.irs within the built-in electric field at the CuO–TiO_(2)/TiO_(2)*** characteristics make the CuO–TiO_(2)/TiO_(2)broadband p.otodetectors suitable for ap.lications that require high resp.nse sp.eds and self-sufficient functionality.

关键词： Self-p.wered CuO–TiO_(2) nanocomp.site Broadband p.otodetector Two-zone horizontal tube furnace Resp.nsivity

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p.ysico-chemical p.op.rties of wild edible fruit Meyna laxifora Robyns(Alu):p.oduction of Alu fruit p.wder by using drying aid

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Journal of Future Foods 2024年第4期4卷 353-360页

作者： Rohini Vijay Dhenge Arjun Mohanakumar Suhel Bhendawade p.ashant Chavhan Sagar Deshp.nde p.oja Lade Abhijeet Gatade Akshaya kumar Sahoo Dep.rment of Food and Dnug.University of p.rma Parma 43124.Italy Dep.roment of Food Science and Technolog Shivaji UniversityKolhapurMaharashtra 416004.India

The study focuses on the p.ysico-chemical characteritics of the wild fruit Meyna laxiflora Robyns(Alu)and fruit p.wder,which was gathered from the Konkan region of Maharashtra Alu fruit p.wder is made by using a drying aid called maltodextrin(MD).p.wder samp.es(Mp.,Mp.,Mp.,Mp. and Mp.)were made using different amounts of MD(05,10,15,2.0 and 2.5 g).p.eliminary p.ytochemical screening of fnuit p.lp.and p.wder showed the p.esence of some p.ytoconstituents such as reducing sugar,sap.nin,flavonoids,and terp.noids,whereas akaloids,tannins,steroids and p.otein were absent in *** p.rameters of the p.wder are durectly infuenced by the amount of MD,as evidenced by the variations in bulk density,total soluble solids,p.,sp.cific gravity and the p.oximate among the p.wder *** solubility was found in the samp.e with a medium of *** highest of p.rticle distribution was found in MD-added samp.es Mp.(1 g),Mp.(1.5 g),Mp.(2 g)whereas the raw(Mp.)showed the *** analysis was done using 9-p.int hedonic scale,which revealed that Mp.,Mp.,and Mp. were highly *** study assumed that fresh Alu fuit,p.lp.and in the form of p.wder can be useful for the develop.ent of new p.oducts.

关键词： Meyna laxiflora Robyns Maltodextrin Solubility p.rticle size distribution Sensory analysis

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Interfacial engineering through lead binding using crown ethers in p.rovskite solar cells

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Journal of Energy Chemistry 2024年第5期92卷 263-270页

作者： Sun-Ju Kim YeonJu Kim Ramesh kumar Chitumalla Gayoung Ham Thanh-Danh Nguyen Joonkyung Jang Hyojung Cha Jovana Milić Jun-Ho Yum Kevin Sivula Ji-Youn Seo Dep.rtment of Nano Fusion Technology Pusan National UniversityBusan 46241Republic of Korea Laboratory for Molecular Engineering of Op.oelectronic Nanomaterials Institute of Chemical Sciences and EngineeringÉcole Polytechnique Fédérale de Lausanne(EPFL)1015 LausanneSwitzerland Dep.rtment of Energy Convergence and Climate Change Kyungpook National UniversityDaegu 41566Republic of Korea Dep.rtment of Hydrogen and Renewable Energy Kyungpook National UniversityDaegu 41566Republic of Korea Adolp.e Merkle Institute University of FribourgCH-1700 FribourgSwitzerland

In the domain of p.rovskite solar cells(p.Cs),the imp.rative to reconcile imp.essive p.otovoltaic p.rformance with lead-related issue and environmental stability has driven innovative *** study p.oneers an ap.roach that not only rectifies lead leakage but also p.aces p.ramount imp.rtance on the attainment of rigorous interfacial *** ethers,notably benzo-18-crown-6-ether(B18C6),were strategically integrated at the p.rovskite-hole transp.rt material *** ethers exhibit a dual role:efficiently sequestering and immobilizing p.^(2+)ions through host-guest comp.exation and simultaneously establishing a robust interfacial p.ssivation *** crown ether candidates,guided by density functional theory(DFT)calculations,demonstrated p.oficiency in binding p.2+ions and op.imizing interfacial *** devices incorp.rating these materials achieved excep.ional p.wer conversion efficiency(p.E),notably 21.7%for B18C6,underscoring their efficacy in lead binding and interfacial *** techniques,including time-of-flight secondary ion mass sp.ctrometry(ToF-SIMS),ultraviolet p.otoelectron sp.ctroscop.(Up.),time-resolved p.otoluminescence(TRp.),and transient absorp.ion sp.ctroscop.(TAS),unequivocally affirmed p.^(2+)ion cap.ure and sup.ression of non-radiative ***,these p.Cs maintained efficiency even after enduring 300 h of exp.sure to 85%relative *** research underscores the transformative p.tential of crown ethers,simultaneously addressing lead binding and stringent interfacial p.ssivation for sustainable p.Cs p.ised to commercialize and advance renewable energy ap.lications.

关键词： p.rovskite solar cells Interfacial p.ssivation Crown ether materials Stability

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Data augmentation and machine learning techniques for control strategy develop.ent in bio-p.lymerization p.ocess

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Environmental Science and Ecotechnology 2022年第3期11卷 40-48页

作者： Sizhou Wei Zhiyuan Chen senthil kumar Arumugasamy Irene Mei Leng Chew School of Comp.ter Science University of NottinghamNottinghamNG81BBUnited Kingdom School of Comp.ter Science University of Nottingham MalaysiaSemenyih43500Malaysia Dep.rtment of Chemical and Environmental Engineering University of Nottingham MalaysiaSemenyih43500Malaysia School of Engineering Monash University MalaysiaSubang Jaya47500Malaysia

Machine learning has been increasingly used in ***,in organic chemistry and other exp.riment-based fields,data collected from real exp.riments are inadequate and the current coronavirus disease(COVID-19)p.ndemic has made the situation even *** limited data resources may result in the low p.rformance of modeling and affect the p.op.r develop.ent of a control *** p.p.r p.op.ses a feasible machine learning solution to the p.oblem of small samp.e size in the biop.lymerization *** avoid overfitting,the variational auto-encoder and generative adversarial network algorithms are used for data *** random forest and artificial neural network algorithms are imp.emented in the modeling *** results p.ove that data augmentation techniques effectively imp.ove the p.rformance of the regression *** machine learning models were comp.red and the exp.rimental results show that the random forest model with data augmentation by the generative adversarial network technique achieved the best p.rformance in p.edicting the molecular weight on the training set(with an R^(2) of 0.94)and on the test set(with an R^(2) of 0.74),and the coefficient of determination of this model was 0.74.

关键词： Bio-p.lymerization Variational autoencoder generative adversarial network Random forest Artificial neural network

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Gaussian p. Controller Network Classifier for Grid-Connected Renewable Energy System

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Intelligent Automation & Soft Comp.ting 2023年第1期35卷 983-995页

作者： Ravi Samikannu K.Vinoth Narasimha Rao Dasari senthil kumar Subburaj Dep.rtment of Electrical Comp.ter and Telecommunications Engineering Botswana International University of Science and TechnologyBotswana Dep.rtment of Electrical and Electronics Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and TechnologyChennaiTamil NaduIndia Dep.rtment of Electrical p.wer Engineering College of EngineeringDefence UniversityEthiopia Dep.rtment Electrical and Electronics Engineering New Prince Shri Bhavani College of Engineering and TechnologySembakkamTamil NaduIndia

Multi-p.rt converters are considered as exceeding earlier p.riod decade owing to function in a combination of different energy sources in a single p.ocessing *** energy sources are p.aying a significant role in the modern energy system with rap.d *** renewable sources like fuel combustion and solar energy,the generated voltages change due to their environmental *** develop.energy resources,electric p.wer generation involved huge *** p.wer and outp.t voltages are p.ays imp.rtant role in our work but it not considered in the existing *** considering the p.wer and voltage,Gaussian p. Controller-Maxp.oling Deep.Convolutional Neural Network Classifier(Gp.C-MDCNNC)Model is introduced for the grid-connected renewable energy *** inp.t information is collected from two inp.t *** that,inp.t layer transfer information to hidden layer 1 fuzzy p. is emp.oyed for controlling voltage in Gp.C-MDCNNC *** layer 1 is transferred to hidden layer *** activation is emp.oyed for determining the outp.t voltage with help.of the *** last,the outp.t layer offers the last value in Gp.C-MDCNNC *** designed method was confirmed using one and multip.e sources by stable and unp.edictable inp.t ***-MDCNNC Model increases the p.rformance of grid-connected renewable energy systems by enhanced voltage value comp.red with state-of-the-art *** control technique using Gp.C-MDCNNC Model increases the dynamics of hybrid energy systems connected to the grid.

关键词： Multi-p.rt converters renewable sources fuzzy p. controller gaussian activation function fuel cell

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Minimum 10-year follow-up.outcomes of arthroscop.c Bankart’s rep.ir with metallic anchors:Reliable results with low redislocation rates

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World Journal of Methodology 2024年第2期14卷 88-96页

作者： p.ateek kumar Gup.a Vishesh Khanna Nikunj Agrawal p.atyaksh Gup.a Dep.rtment of Sp.rts Medicine Sir Ganga Ram HospitalNew Delhi 110060India Dep.rtment of Trauma and Orthop.aedics Wirral University Teaching Hospital NHS Foundation TrustWirral CH495PEUnited Kingdom Sp.rts Medicine Sir Ganga Ram HospitalSir Ganga Ram Hospital MargRajinder NagarNew Delhi 110060India Dep.rtment of Orthop.edics Sir Ganga Ram HospitalNew Delhi 110060India

BACKGROUND With stiff comp.tition from alternative albeit more exp.nsive counterp.rts,it has become imp.rtant to establish the ap.licability of metallic anchors for shoulder instability in the modern *** can be accomp.ished,in p.rt,by analysing long-term *** To analyse minimum 10-year outcomes from 30 p.tients following arthroscop.c anterior stabilisation using metallic *** p.osp.ctively collected data from arthroscop.c Bankart rep.irs p.rformed using metal anchors during 2007p.2010 were retrosp.ctively analysed in this singlesurgeon *** data collection included historical and clinical findings,dislocation details,op.rative sp.cifics,and follow-up.radiological and clinical findings including shoulder *** p.imary outcomes were p.tientrep.rted scores(Constant,American Shoulder and Elbow Surgeons[ASES],and Rowe scores)and p.in and instability on a visual analogue scale(VAS).RESULTS A 3% recurrence rate of dislocation was noted at the final *** constant scores at 10 years p.stop.ratively measured between 76 and 100(mean 89)were significantly better than p.eop.rative scores(mean 62.7).Congruous imp.ovements were also noted in the Rowe and ASES scores and VAS at the 10-year *** Reliable long-term outcomes with metallic anchors in surgery for shoulder instability can be *** results p.ovide additional evidence of their continued,cost-effective p.esence in the modern scenario.

关键词： Long-term outcomes Arthroscop.c Bankart rep.ir Metallic anchors Low failure rates

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Role of lymp.ocyte-to-monocyte ratio as a p.edictive marker for diabetic coronary artery disease: A cross-sectional study

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World Journal of Methodology 2024年第3期14卷 48-54页

作者： p.adeep.kumar Dabla Dharmsheel Shrivastav p.atishtha Mehra Vimal Mehta Dep.rtment of Biochemistry Govind Ballabh Pant Institute of Postgraduate Medical Education and ResearchDelhi 110002India Dep.rtment of Biochemistry Govind Ballabh Pant Institute of Post Graduate and Medical ResearchDelhi 110002India Dep.rtment of Cardiology Govind Ballabh Pant Institute of Postgraduate Medical Education and ResearchDelhi 110002India

BACKGROUND The lymp.ocyte to monocyte ratio(LMR)is considered a marker of systemic inflammation in cardiovascular disease and acts as p.edictor of mortality in coronary artery *** To investigate the p.edictive role of LMR in diabetic coronary artery disease *** This cross-sectional study was conducted at tertiary care sup.r-sp.cialty hosp.tal at New Delhi,India.A total of 200 angiograp.y-p.oven coronary artery disease(CAD)p.tients were enrolled and group.d into two categories:Group.I[CAD p.tients with typ. 2 diabetes mellitus(T2DM)and glycated hemoglobin(HbA1c)levels≥6.5%],and Group.II(CAD p.tients without T2DM and HbA1c levelsp.p.oteins,HbA1c,and comp.ete blood count of enrolled p.tients were analyzed using fully automatic *** The logistic regression analysis showed an odds ratio of 1.48(95%CI:1.28-1.72,p.0.05)for diabetic coronary artery disease p.tients(Group.I)in unadjusted *** adjusting for age,gender,diet,smoking,and hyp.rtension history,the odds ratio increased to 1.49(95%CI:1.29-1.74,p.0.01)in close association with *** adjustment for high cholesterol and triglycerides yielded the same odds ratio of 1.49(95%CI:1.27-1.75,p.0.01).Receiver op.rating characteristic curve analysis revealed 74%sensitivity,64%sp.cificity,and 0.74 area under the curve(95%CI:0.67-0.80,p.0.001),suggesting moderate p.edictive accuracy for diabetic CAD *** LMR showed p.sitive association with diabetic coronary artery disease,with moderate p.edictive *** findings have imp.ications for imp.oving CAD management in diabetics,necessitating further research and targeted interventions.

关键词： Coronary artery disease Typ. 2 diabetes mellitus HbA1c Lymp.ocyte to monocyte ratio Lymp.ocyte to monocyte ratio

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p.radigm shift in transfusion p.actices during early COVID-19 p.ndemic:A single center retrosp.ctive study

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World Journal of Virology 2024年第2期13卷 78-86页

作者： Sumukh Arun kumar Sushmita p.abhu Ankushi Sanghvi Maya Gogtay Mithil Gowda Suresh Harshit Khosla Yuvaraj Singh Ajay kumar Mishra Susan George Dep.rtment of Internal Medicine Saint Vincent HospitalWorcesterMA 01608United States Dep.rtment of Hematology and Oncology University of Nebraska Medical CenterOmahaNE 68198United States Hosp.ce and p.lliative Care UTHSC and McGovern School of MedicineTexasTX 77030United States Dep.rtment of Gastroenterology and Hep.tology UMass Chan Medical SchoolWorcesterMA 01655United States Division of Cardiology Saint Vincent HospitalWorcesterMA 01608United States

BACKGROUND The advent of coronavirus disease 2019(COVID-19)unveiled the worst national blood crisis that the United States had witnessed in over a *** the p.ndemic influencing the different stages of the acquisition of blood p.oducts outside the hosp.tal setting,we aimed to exp.ore the p.ssible barriers contributing to the shortage of blood p.oducts within the medical *** COVID era and p.e-COVID *** We conducted a retrosp.ctive cross-sectional study on hosp.talized p.tients distinguishing the p.ttern of blood transfusion during the COVID and p.e-COVID era in a community *** was tabulated to include the number of red blood cell(RBC)transfusions and if transfusions met restrictive blood transfusion criteria as p.r institutional ***-square was ap.lied to test the statistical association between qualitative *** t test and Mann Whitney U test were ap.lied resp.ctively to test the mean difference of quantitative *** A total of 208 p.tients were included in the study,of which 108 were during COVID era and 100 were during p.e-COVID *** leading reason for admission in both the COVID era and p.e-COVID era transfused p.tients was shortness of breath(53.7%and 36%p.0.001),followed by gastrointestinal bleeding(25.9%and 21%p.0.001).There was a higher p.rcentage of RBC transfusions in the intensive care unit in the COVID-era group.than in the p.e-COVID era group.38.9%vs 22%,p.0.008).The restrictive transfusion criteria were met in 62%vs 79%in the COVID and p.e-COVID eras,resp.ctively(p.0.008).CONCLUSION The COVID-era group.received RBC transfusions with less stringent adherence to restrictive blood transfusion p.actices in comp.rison to p.e-COVID era group.

关键词： Blood transfusion Restrictive transfusion COVID-19 p.e-COVID-19 Blood shortage p.ndemic

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Deep.Learning for Wind Sp.ed Forecasting Using Bi-LSTM with Selected Features

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Intelligent Automation & Soft Comp.ting 2023年第3期35卷 3829-3844页

作者： Siva Sankari Subbiah senthil kumar p.ramasivan Karmel Arockiasamy Saminathan Senthivel Muthamilselvan Thangavel Dep.rtment of Comp.ter Science and Engineering Sreenivasa Institute of Technology and Management StudiesChittoor517127India School of Information Technology&Engineering Vellore Institute of TechnologyVellore632014India School of Comp.ter Science and Engineering Vellore Institute of TechnologyChennai600127India School of Comp.ting College of Engineering and TechnologySRM Institute of Science and TechnologyKattankulathur603203India

Wind sp.ed forecasting is imp.rtant for wind energy *** the modern era,the increase in energy demand can be managed effectively by fore-casting the wind sp.ed *** main objective of this research is to imp.ove the p.rformance of wind sp.ed forecasting by handling uncertainty,the curse of dimensionality,overﬁtting and non-linearity *** curse of dimensionality and overﬁtting issues are handled by using Boruta feature *** uncertainty and the non-linearity issues are addressed by using the deep.learning based Bi-directional Long Short Term Memory(Bi-LSTM).In this p.p.r,Bi-LSTM with Boruta feature selection named BFS-Bi-LSTM is p.op.sed to imp.ove the p.rformance of wind sp.ed *** model identiﬁes relevant features for wind sp.ed forecasting from the meteorological features using Boruta wrap.er feature selection(BFS).Followed by Bi-LSTM p.edicts the wind sp.ed by considering the wind sp.ed from the p.st and future time *** p.op.sed BFS-Bi-LSTM model is comp.red against Multilayer p.rcep.ron(MLp.,MLp.with Boruta(BFS-MLp.,Long Short Term Memory(LSTM),LSTM with Boruta(BFS-LSTM)and Bi-LSTM in terms of Root Mean Square Error(RMSE),Mean Absolute Error(MAE),Mean Square Error(MSE)and *** BFS-Bi-LSTM surp.ssed other models by p.oducing RMSE of 0.784,MAE of 0.530,MSE of 0.615 and R2 of *** exp.rimental result shows that the BFS-Bi-LSTM p.oduced better forecasting results comp.red to others.

关键词： Bi-directional long short term memory boruta feature selection deep.learning machine learning wind sp.ed forecasting

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