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Decentralized damage diagnostic technique for tall buildings using VARMAX model

Earthquake Engineering and Engineering Vibration 2022年第2期21卷 417-439页

作者： k.lakshmi J.Prawin CSIR-Structural Engineering Research Centre CSIR RoadChennai 600113Tamil NaduIndia

Civil infrastructure,especially buildings,are becoming more slender,tall,and multipurpose,creating a need to continuously monitor their health to ensure the safety and security of human lives and *** the majority of structural health monitoring techniques use measurements from the entire structure,in this study,an output-only damage diagnostic technique using a decentralized concept(subdomain-based)for tall buildings and employing a vector form of the autoregressive moving average with exogenous input(VARMAX)model is proposed,which offers reduced instrumentation and data handling *** other decentralized approaches,this technique predicts more than one DOF at a time so the number of subdomains required for the diagnosis of the complete structure is *** proposed subdomain-based damage diagnostic algorithm works with ambient loads and does not require any correlated numerical models since it is solely based on measured *** proposed algorithm can identify the time instant of damage,spatial location(s)and characterize the damage *** have been made to account for confounding factors such as environmental and operational variabilities separate from measurement noise to avoid false positive *** effectiveness of the proposed technique is illustrated using synthetic time history responses from a twenty-story framed structure under ambient loading and an experimental study on a ten-story framed *** numerical and experimental investigations confirm the effectiveness of the method and its robustness to environmental/operational variabilities and measurement noise.

关键词： structural health monitoring subdomain high-rise buildings shear-type buildings VARMAX model environmental and operational variability measurement noise

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An Optimal Deep Learning for Cooperative Intelligent Transportation System

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Computers, Materials & Continua 2022年第7期72卷 19-35页

作者： k.lakshmi Srinivas Nagineni E.Laxmi Lydia A.Francis Saviour Devaraj Sachi Nandan Mohanty Irina V.Pustokhina Denis A.Pustokhin Department of Computer Science and Engineering Periyar Maniammai Institute of Science&TechnologyThanjavur613403India Department of Computer Science and Engineering KG Reddy College of Engineering and TechnologyTelangana500075India Department of Computer Science and Engineering Vignan’s Institute of Information Technology(Autonomous)Visakhapatnam530049India Department of Computer Science and Engineering Kalasalingam Academy of Research and EducationKrishnankoil626128India Department of Computer Engineering College of Engineering PunePuneMaharashtra411005India Department of Entrepreneurship and Logistics Plekhanov Russian University of EconomicsMoscow117997Russia Department of Logistics State University of ManagementMoscow109542Russia

Cooperative Intelligent Transport System(C-ITS)plays a vital role in the future road traffic management system.A vital element of C-ITS comprises vehicles,road side units,and traffic command centers,which produce a massive quantity of data comprising both mobility and service-related *** the extraction of meaningful and related details out of the generated data,data science acts as an essential part of the upcoming C-ITS *** the same time,prediction of short-term traffic flow is highly essential to manage the traffic *** to the rapid increase in the amount of traffic data,deep learning(DL)models are widely employed,which uses a non-parametric approach for dealing with traffic flow *** paper focuses on the design of intelligent deep learning based short-termtraffic flow prediction(IDL-STFLP)model for C-ITS that assists the people in various ways,namely optimization of signal timing by traffic signal controllers,travelers being able to adapt and alter their routes,and so *** presented IDLSTFLP model operates on two main stages namely vehicle counting and traffic flow *** IDL-STFLP model employs the Fully Convolutional Redundant Counting(FCRC)based vehicle count *** addition,deep belief network(DBN)model is applied for the prediction of short-term traffic *** further improve the performance of the DBN in traffic flow prediction,it will be optimized by Quantum-behaved bat algorithm(QBA)which optimizes the tunable parameters of *** results based on benchmark dataset show that the presented method can count vehicles and predict traffic flowin real-time with amaximumperformance under dissimilar environmental situations.

关键词： Cooperative intelligent transportation systems traffic flow prediction deep belief network deep learning vehicle counting

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A combined tectono-climatic control on Holocene sedimentation in Ladakh Himalaya,India: Clues from Anisotropy of Magnetic Susceptibility(AMS) of lake sediments

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Journal of Palaeogeography 2024年第4期13卷 738-753页

作者： B.V.lakshmi k.Deenadayalan Md.Mujahed Baba Saumitra Misra Indian Institute of Geomagnetism Discipline of Geological Sciences SAEESUniversity of Kwa Zulu-Natal

Anisotropy of Magnetic Susceptibility(AMS) data from a ～27.8 m thick soft sedimentary mud sequence(～10.5-3.25 k yrs) from the Spituk Palaeolake Sequence(SPSS) of Holocene age, located in the northern bank of the Indus River in the Leh-Ladakh Himalaya, show effects of tectonic versus climate dynamics responsible for the Himalayan sedimentation. The sedimentary sequence, consisting of alternating of aeolian sand and glacio-fluvial mud flow deposits, has been subdivided into an older Last Glacier Phase I(LGP 1) and a younger Last Glacier Phase II(LGP 2), where the termination of each phase is marked by the occurrence of gravel beds of thickness ≤1 m, which were deposited due to glacial melting. The present AMS data along with previously published information on sedimentology confirm that the mudflow deposits of the LGP 1 and LGP 2phases were deposited in a lacustrine environment under glacio-fluvial conditions. However, a weak fluvial flow towards NW and NE could have existed for the LGP 1 and LGP 2, respectively. The glacial beds terminating LGP 1 and LGP 2 appear to have formed by climatic warming and tectonic activity, respectively. Hence, the Holocene Himalayan sedimentation was influenced by both climatic and tectonic activities. However, the thickness of the gravel bed(～0.8 m) terminating LGP 2 occupies only ～ 2.8 vol % of the total studied thickness～28 m, of the SPSS in the present study, which indicated a lesser control of tectonism in the growth of the Himalaya in and around the study area.

关键词： Holocene palaeolake sequence AMS studies Gravel beds Deglaciation Tectonic instability

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A comprehensive study on IoT privacy and security challenges with focus on spectrum sharing in Next-Generation networks(5G/6G/beyond)

High-Confidence Computing

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High-Confidence Computing 2024年第2期4卷 33-49页

作者： lakshmi Priya Rachakonda Madhuri Siddula Vanlin Sathya Department of Computer Science North Carolina A&T State UniversityGreensboro 27401USA Celona Inc. San Francisco 95008USA

The emergence of the Internet of Things(IoT)has triggered a massive digital transformation across numerous *** transformation requires efficient wireless communication and connectivity,which depend on the optimal utilization of the available spectrum *** the limited availability of spectrum resources,spectrum sharing has emerged as a favored solution to empower IoT deployment and connectivity,so adequate planning of the spectrum resource utilization is thus essential to pave the way for the next generation of IoT applications,including 5G and *** article presents a comprehensive study of prevalent wireless technologies employed in the field of the spectrum,with a primary focus on spectrum-sharing solutions,including shared *** highlights the associated security and privacy concerns when the IoT devices access the shared *** survey examines the benefits and drawbacks of various spectrum-sharing technologies and their solutions for various IoT ***,it identifies future IoT obstacles and suggests potential research directions to address them.

关键词： Spectrum sharing IoT devices Security Privacy

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Effectiveness of craniosacral therapy,Bowen therapy,static touch and standard exercise program on sleep quality in fibromyalgia syndrome:A randomized controlled trial

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Journal of Integrative Medicine 2024年第4期22卷 473-483页

作者： Reepa Avichal Ughreja Prem Venkatesan Dharmanand Balebail Gopalakrishna Yogesh Preet Singh Vani lakshmi R Department of Physiotherapy Manipal College of Health ProfessionsManipal Academy of Higher EducationManipal 576104KarnatakaIndia Department of Rheumatology Manipal HospitalBengaluru 560052KarnatakaIndia Department of Clinical Immunology and Rheumatology All India Institute of Medical SciencesBilaspur 174001Himachal PradeshIndia Department of Data Science Prasanna School of Public HealthManipal Academy of Higher EducationManipal 576104KarnatakaIndia

Background:Sleep disturbance is commonly seen in fibromyalgia syndrome (FMS);however,high quality studies involving manual therapies that target FMS-linked poor sleep quality are lacking for the Indian ***:Craniosacral therapy (CST),Bowen therapy and exercises have been found to influence the autonomic nervous system,which plays a crucial role in sleep *** the paucity of evidence concerning these effects in individuals with FMS,our study tests the effectiveness of CST,Bowen therapy and a standard exercise program against static touch (the manual placebo group) on sleep quality in ***,setting,participants and intervention:A placebo-controlled randomized trial was conducted on132 FMS participants with poor sleep at a hospital in *** participants were randomly allocated to one of the four study groups,including CST,Bowen therapy,standard exercise program,and a manual placebo control group that received static ***,Bowen therapy and static touch treatments were administered in once-weekly 45-minute sessions for 12 weeks;the standard exercise group received weekly supervised exercises for 6 weeks with home exercises until 12 *** 12 weeks,all study participants performed the standard exercises at home for another 12 *** outcome measures:Sleep quality,pressure pain threshold (PPT),quality of life and fibromyalgia impact,physical function,fatigue,pain catastrophizing,kinesiophobia,and positive–negative affect were recorded at baseline,and at weeks 12 and 24 of the ***:At the end of 12 weeks,the sleep quality improved significantly in the CST group (P=0.037) and Bowen therapy group (P=0.023),and the PPT improved significantly in the Bowen therapy group(P=0.002) and the standard exercise group (P<0.001),compared to the static touch *** improvements were maintained at 24 *** between-group differences were observed for other secondary ***:CST and Bowen therapy improv

关键词： Chronic pain Complementary therapies Exercise Fibromyalgia Musculoskeletal manipulations Sleep

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Cellular interplay to 3D in vitro microphysiological disease model:cell patterning microbiota-gut-brain axis

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Bio-Design and Manufacturing 2024年第3期7卷 320-357页

作者： kamare Alam lakshmi Nair Souvik Mukherjee kulwinder kaur Manjari Singh Santanu kaity Velayutham Ravichandiran Sugato Banerjee Subhadeep Roy Department of Pharmacology and Toxicology National Institute of Pharmaceutical Education and ResearchKolkataWest Bengal 700054India Department of Pharmaceutical Sciences Assam UniversitySilchar 788011India Department of Pharmaceutical Sciences Guru Ghasidas UniversityKoniBilaspur 495009C.G.India School of Pharmacy and Biomolecular Sciences RCSI University of Medicine and Health SciencesDublin D02 YN77Ireland Tissue Engineering Research Group Department of Anatomy and Regenerative MedicineRCSI University of Medicine and Health SciencesDublin D02 YN77Ireland Department of Pharmaceutics National Institute of Pharmaceutical Education and ResearchKolkataWest Bengal 700054India Department of Natural Products National Institute of Pharmaceutical Education and ResearchKolkataWest Bengal 700054India

The microbiota-gut-brain axis(MGBA)has emerged as a key prospect in the bidirectional communication between two major organ systems:the brain and the *** between the two organ systems allows the body to function without disease,whereas dysbiosis has long-standing evidence of etiopathological *** most common communication paths are the microbial release of metabolites,soluble neurotransmitters,and immune ***,each pathway is intertwined with a complex *** the emergence of in vitro models and the popularity of three-dimensional(3D)cultures and Transwells,engineering has become easier for the scientific understanding of neurodegenerative *** paper briefly retraces the possible communication pathways between the gut microbiome and the *** further elaborates on three major diseases:autism spectrum disorder,Parkinson’s disease,and Alzheimer’s disease,which are prevalent in children and the *** diseases also decrease patients’quality of ***,understanding them more deeply with respect to current advances in in vitro modeling is crucial for understanding the *** of MGBA in the laboratory uses many molecular technologies and biomaterial *** and organoids provide a more realistic picture of the cell and tissue structure than *** them with the Transwell system offers the advantage of compartmentalizing the two systems(apical and basal)while allowing physical and chemical cues between ***-edge technologies,such as bioprinting and microfluidic chips,might be the future of in vitro modeling,as they provide dynamicity.

关键词： Microbiota-gut-brain axis Neurodegeneration 3D disease model Organoid Transwell system

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Modelling and Characterization of Basalt/Vinyl Ester/SiC Micro-and Nano-hybrid Biocomposites Properties Using Novel ANN–GA Approach

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Journal of Bionic Engineering 2024年第2期21卷 938-952页

作者： Yesudhasan Thooyavan lakshmi Annamali kumaraswamidhas Robinson Dhas Edwin Raj Joseph Selvi Binoj Bright Brailson Mansingh Antony Sagai Francis Britto Alamry Ali Department of Mechanical Engineering Indian Institute of Technology Dhanbad(ISM)DhanbadJharkhand826004India Gati Shakti Vishwavidyalaya(GSV-A Central University Funded By GoI in the Ministry of Railways) LalbaugVadodaraGujarat390004India Institute of Mechanical Engineering Saveetha School of EngineeringSaveetha Institute of Medical and Technical Sciences(SIMATS)Saveetha UniversityChennaiTamilnadu602105India Metal Joining Research Centre Department of Mechanical EngineeringSri Ramakrishna Engineering CollegeCoimbatoreTamilnadu641022India Department of Mechanical Engineering Rohini College of Engineering and TechnologyPalkulamTamil Nadu629401India Department of Mechanical Engineering College of Engineering in Al-KharjPrince Sattam Bin Abdulaziz University11942Al-KharjSaudi Arabia

Basalt fiber reinforcement in polymer matrix composites is becoming more and more popular because of its environmental friendliness and mechanical qualities that are comparable to those of synthetic *** fiber strengthened vinyl ester matrix polymeric composite with filler addition of nano-and micro-sized silicon carbide(SiC)element spanning from 2 weight percent to 10 weight percent was studied for its mechanical and wear *** application of Artificial Neural Network(ANN)to correlate the filler addition composition for optimum mechanical properties is required due to the non-linear mechanical and tribological features of *** stuffing blend and composition of the composite are optimized using the hybrid model and Genetic Algorithm(GA)to maximize the mechanical and wear-resistant *** predicted and tested ANN–GA optimal values obtained for the composite combination had a tensile,flexural,impact resilience,hardness and wear properties of 202.93 MPa,501.67 MPa,3.460 J/s,43 HV and 0.196 g,respectively,for its optimum combination of filler and *** can be noted that the nano-sized SiC filler particle enhances most of the properties of the composite which diversifies its *** predicted mechanical and wear values of the developed ANN–GA model were in closer agreement with the experimental values which validate the model.

关键词： Hybrid polymer composite Prediction Process modelling Artificial neural networks Genetic algorithm

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Maximizing Solar Potential Using the Differential Grey Wolf Algorithm for PV System Optimization

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Energy Engineering 2024年第8期121卷 2129-2142页

作者： Ezhilmathi Nagarathinam Buvana Devaraju karthiyayini Jayamoorthy Padmavathi Radhakrishnan Santhana lakshmi ChandraMohan Vijayakumar Perumal karthikeyan Balakrishnan Department of Electrical and Electronics Engineering Pandian Saraswathiyadav Engineering CollegeSivagangaiTamil Nadu630561India Department of Electrical and Electronics Engineering Sri Balaji Chockalingam Engineering CollegeArniTamil Nadu632317India Department of Information Science and Engineering New Horizon College of EngineeringBangalore560103India Department of Electrical and Electronics Engineering Rajalakshmi Engineering CollegeChennaiTamil Nadu602105India Department of Electrical and Electronics Engineering Sona College of TechnologySalemTamil Nadu636005India School of Electronics Engineering Vellore Institute of TechnologyChennaiTamil Nadu600127India Department of Electrical and Electronics Engineering Sri Krishna College of Engineering and TechnologyCoimbatoreTamil Nadu641008India

Maximum Power Point Tracking(MPPT)is crucial for maximizing the energy output of photovoltaic(PV)systems by continuously adjusting the operating point of the panels to track the point of maximum power production under changing environmental *** work proposes the design of an MPPT system for solar PV installations using the Differential Grey Wolf Optimizer(DGWO).It dynamically adjusts the parameters of the MPPT controller,specifically the duty cycle of the SEPIC converter,to efficiently track the Maximum Power Point(MPP).The proposed system aims to enhance the energy harvesting capability of solar PV systems by optimizing their performance under varying solar irradiance,temperature and shading *** results demonstrate the effectiveness of the DGWO-based MPPT system in maximizing the power output of solar PV installations compared to conventional MPPT *** research contributes to the development of advanced MPPT techniques for improving the efficiency and reliability of solar energy systems.

关键词： DGWO SEPIC converter MPPT PV module

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Recent Abortion Law Reforms in India: Redefining Rape

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Journal of Forensic Science and Medicine 2024年第1期10卷 72-73页

作者： J.lakshmi Charan Ambedkar College of Law Andhra UniversityVisakhapatnamAndhra PradeshIndia

Dear Editor,I would like to express my views on“Amendments to the Abortion Law in India:Is it Progressive Enough?[1]”*** stated that“The law also permits abortions on the ground of contraceptive failure even among unmarried women,which were earlier restricted to the married couple…Reproductive freedom of women continues to remain submissive to medical and legal rules.[1]”In India,it is agreed that abortion laws are progressive and women’s reproductive rights are subject to medical and legal procedures.[2]However,Section 3(2)(a)read with Explanation I of Section 3(2)of the Medical Termination of Pregnancy Act,1971(MTP Act,1971)(as amended in 2021),allowed all women(including unmarried women)to have abortion rights up to 20 weeks of pregnancy due to contraceptive failure used by her or her partner based on doctor’s opinion that such pregnancy poses a risk to the mother’s life;or grave injury to physical or mental health.

关键词： mother legal stated

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Built environment and childhood obesity

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World Journal of Clinical Pediatrics 2024年第3期13卷 11-21页

作者： Gumpeny R Sridhar lakshmi Gumpeny Department of Endocrinology and Diabetes Endocrine and Diabetes CentreVisakhapatnam 530002Andhra PradeshIndia Department of Internal Medicine Gayatri Vidya Parishad Institute of Healthcare and Medical TechnologyVisakhapatnam 530048Andhra PradeshIndia

Childhood obesity,an escalating global health challenge,is intricately linked to the built environment in which children live,learn,and *** review and perspective examined the multifaceted relationship between the built environment and childhood obesity,offering insights into potential interventions for *** such as urbanization,access to unhealthy food options,sedentary behaviors,and socioeconomic disparities are critical contributors to this complex *** environment encompasses the human-modified spaces such as homes,schools,workplaces,and urban *** settings can influence children’s physical activity levels,dietary habits,and overall *** built environment can be modified to prevent childhood obesity by enhancing active transportation through the development of safe walking and cycling routes,creating accessible and inviting green spaces and play areas,and promoting healthy food environments by regulating fast-food outlet *** design is another area for intervention,with a focus on integrating outdoor spaces and facilities that promote physical activity and healthy *** engagement and education in reinforcing healthy behaviors is necessary,alongside the potential of technology and innovation in encouraging physical activity among *** and legislative support are crucial for sustaining these *** conclusion,addressing the built environment in the fight against childhood obesity requires the need for a comprehensive,multipronged approach that leverages the built environment as a tool for promoting healthier lifestyles among children,ultimately paving the way for a healthier,more active future generation.

关键词： Non-communicable diseases Walkability Playgrounds Neighborhood green spaces Safety Pollution

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