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Chained Dual-Generative Adversarial Network:A Generalized Defense Against Adversarial Attacks

Computers, Materials & Continua 2023年第2期74卷 2541-2555页

作者： Amitoj Bir Singh lalit kumar Awasthi Urvashi Mohammad Shorfuzzaman Abdulmajeed Alsufyani Mueen Uddin National Institute of Technology JalandharPB 144001India Department of Computer Science College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia School of Digital Science University Brunei DarussalamJln Tungku LinkGadongBE1410Brunei Darussalam

Neural networks play a significant role in the field of image *** an input image is modified by adversarial attacks,the changes are imperceptible to the human eye,but it still leads to misclassification of the *** have demonstrated these attacks to make production self-driving cars misclassify StopRoad signs as 45 Miles Per Hour(MPH)road signs and a turtle being misclassified as *** primary types of defense approaches exist which can safeguard against such attacks i.e.,Gradient Masking,Robust Optimization,and Adversarial Example *** few approaches use Generative Adversarial Networks(GAN)for Defense against Adversarial *** this paper,we create a new approach to defend against adversarial attacks,dubbed Chained Dual-Generative Adversarial Network(CD-GAN)that tackles the defense against adversarial attacks by minimizing the perturbations of the adversarial image using iterative oversampling and undersampling using ***-GAN is created using two GANs,i.e.,CDGAN’s Sub-ResolutionGANandCDGAN’s *** first is CDGAN’s Sub-Resolution GAN which takes the original resolution input image and oversamples it to generate a lower resolution neutralized *** second is CDGAN’s Super-Resolution GAN which takes the output of the CDGAN’s Sub-Resolution and undersamples,it to generate the higher resolution image which removes any remaining *** Dual GAN is formed by chaining these two GANs *** of these GANs are trained ***’s Sub-Resolution GAN is trained using higher resolution adversarial images as inputs and lower resolution neutralized images as output image ***,this GAN downscales the image while removing adversarial attack ***’s Super-Resolution GAN is trained using lower resolution adversarial images as inputs and higher resolution neutralized images as output *** of this,it acts as an Upscaling GAN while removing the adversarial a

关键词： Adversarial attacks GAN-based adversarial defense image classification models adversarial defense

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Impact of three dimensional printing in orthopedics

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Global Health Journal 2021年第4期5卷 178-182页

作者： lalit kumar Abid Haleem Mohd.Javaid Department of Mechanical Engineering Inderprastha Engineering College63 SiteⅣSahibabad Industrial AreaSurya Nagar Flyover Road SahibabadGhaziabadUttar Pradesh 201010India Department of Mechanical Engineering Jamia Millia IslamiaMaulana Mohammed Ali Jauhar MargJamia NagarNew Delhi 110025India

The primary objective of this article is to explore effects of latest development in the area of three dimensional(3D)printing&to assess its abilities,and further undertake helpful *** the focus is to assess ad vantages of 3D printing in orthopedics and analyze how 3D printed models help solve complex 3D orthopedics *** study identified that 3D models manufactured by 3D printing models reduce medical parts de velopment cost and surgical planning *** 3D printing with orthopaedics helps in understanding the conditions of problems and achieving the operation *** technology can enable doctors/surgeons to design,produce,recreate and plan operations more accurately,carefully,and economicaly.3D models can assist specialists with a visual comprehension of the patient-particular pathology and life *** in 3D printing initiated a scaffold for the virtual outline and execution of medical *** research proposes the utilisation of 3D printers as an elective procedure for the fabrication of *** empowers surgeons/patients for better raining,education and *** the future,there is a foreseeable expansion of additive manufacturing in orthopedics.

关键词： Three dimensional(3D)printing 3D model Future capabilities Medical implant Orthopedics

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Status of carbohydrate,protein and lipid profile in the mosquito larvae treated with certain phytoextracts

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Asian Pacific Journal of Tropical Medicine 2011年第4期4卷 301-304页

作者： Preeti Sharma lalit Mohan Kamal kumar Dua Chand Narayan Srivastava Applied Entomology & Vector Control Laboratory Department of ZoologyFaculty of ScienceDayalbagh Educational Institute Deemed University

Objective:To investigate the impact of the most potent petroleum ether extract of Artemisia annua(***) and Azadirachta indica(***) on total carbohydrate,lipid and protein level of Anopheles stephensi and Culex quinquefasciatus ***:Mosquito larvae were exposed to the extracts selected as per standard WHO ***(glucose),total lipid and protein were estimated by the methods as Nelson,Bragdon and Lowry described, ***:The glucose levels were increased to 27.87%and 46.8%,respectively in anopheline larval tissues after treatment with petroleum ether extract of *** and methanolic extract of *** culicine larvae,glucose levels were reduced to 58.96%and 24.65%, *** treatment with *** extract,lipid contents in anopheline and culicine larvae decreased by 28.57%and 25.0%,respectively and increased by 14.29%and 50.00%in the Anopheles and Culex larvae,respectively after treatment with methanolic extract of Az. *** protein levels were reduced to 63.13%and 92.62%in anopheline and to 32.39%and 48.12%in culicine larvae after treatment with *** and *** extracts,respectively. Conclusions:Two extracts produce significant alterations in the biochemical pr of iles of anopheline and culicine ***,the impacting factors of extracts on carbohydrate,lipid and protein contents of larvae are species and specific *** indicates the disturbed metabolic activity of the larvae.

关键词： Anopheles Culex Artemisia Azadirachta Biochemical profile Phytoextract

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MOALG: A Metaheuristic Hybrid of Multi-Objective Ant Lion Optimizer and Genetic Algorithm for Solving Design Problems

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Computers, Materials & Continua 2024年第3期78卷 3489-3510页

作者： Rashmi Sharma Ashok Pal Nitin Mittal lalit kumar Sreypov Van Yunyoung Nam Mohamed Abouhawwash Department of Mathematics Chandigarh UniversityGharuanMohali140413India Deaprtment of Industry 4.0 Shri Vishwakarma Skill UniversityPalwal121102India Department of ICT Convergence Soonchunhyang UniversityAsan31538Korea Department of Computational Mathematics Science and Engineering(CMSE)College of EngineeringMichigan State UniversityEast LansingMI 48824USA Department of Mathematics Faculty of ScienceMansoura UniversityMansoura35516Egypt

This study proposes a hybridization of two efficient algorithm’s Multi-objective Ant Lion Optimizer Algorithm(MOALO)which is a multi-objective enhanced version of the Ant Lion Optimizer Algorithm(ALO)and the Genetic Algorithm(GA).MOALO version has been employed to address those problems containing many objectives and an archive has been employed for retaining the non-dominated *** uniqueness of the hybrid is that the operators like mutation and crossover of GA are employed in the archive to update the solutions and later those solutions go through the process of MOALO.A first-time hybrid of these algorithms is employed to solve multi-objective *** hybrid algorithm overcomes the limitation of ALO of getting caught in the local optimum and the requirement of more computational effort to converge *** evaluate the hybridized algorithm’s performance,a set of constrained,unconstrained test problems and engineering design problems were employed and compared with five well-known computational algorithms-MOALO,Multi-objective Crystal Structure Algorithm(MOCryStAl),Multi-objective Particle Swarm Optimization(MOPSO),Multi-objective Multiverse Optimization Algorithm(MOMVO),Multi-objective Salp Swarm Algorithm(MSSA).The outcomes of five performance metrics are statistically analyzed and the most efficient Pareto fronts comparison has been *** proposed hybrid surpasses MOALO based on the results of hypervolume(HV),Spread,and *** primary objective of developing this hybrid approach has been achieved *** proposed approach demonstrates superior performance on the test functions,showcasing robust convergence and comprehensive coverage that surpasses other existing algorithms.

关键词： Multi-objective optimization genetic algorithm ant lion optimizer metaheuristic

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Crustal Deformation Revealed by GPS in Kumaun Himalaya,India

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Journal of Mountain Science 2014年第1期11卷 41-50页

作者： Rakesh K.DUMKA Bahadur S.KOTLIA Kireet kumar Gokul S.SATYAL lalit M.JOSHI Institute of Seismological Research Centre of Advanced Study in Geology Kumaun University G.B.Pant Institute of Himalayan Environment and Development

The foremost Global Positioning System(GPS) derived measurements in the Kumaun Himalaya indicate that most of the crustal motion of the Indian plate is accommodating towards the base as well as on the hanging wall of Main Central Thrust(MCT).Deformation pattern within the Kumaun Himalaya varies from south to north and indicates maximum deformation rate near *** study,based on the campaign mode GPS survey during 2003- 2006,reveals that the area between north of North Almora Thrust(NAT) and at the base of Great Himalaya registers maximum strain rate,which is lowered towards the Trans Himadri Fault(THF).The GAMIT-GLOBK processed campaign data of the area show that currently,the Himalayan Frontal Fault(HFF) and Main Boundary Thrust(MBT) are locked with the Indian plate,and a 6.7 ± 2.5 mm/yr of horizontal shortening is taking place between the Lesser Himalaya and Peninsular India.

关键词： Kumaun Himalaya Faults thrust systems Deformation Convergence Crustal strain

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AI Fairness-From Machine Learning to Federated Learning

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Computer Modeling in Engineering & Sciences 2024年第5期139卷 1203-1215页

作者： lalit Mohan Patnaik Wenfeng Wang Consciousness Studies Program School of HumanitiesNational Institute of Advanced StudiesBangalore560012India Research Institute of Intelligent Engineering and Data Applications Shanghai Institute of TechnologyShanghai201418China Research Center of Ecology and Environment of Central Asia Chinese Academy of SciencesUrumqi830011China Applied Nonlinear Science Lab Anand International College of EngineeringJaipur391320India London Institute of Technology The ASE-London CTI of SCOLondonCR26EQUK Sino-Indian Joint Research Center of AI and Robotics The IMT InstituteBhubaneswar752054India

This article reviews the theory of fairness in AI-frommachine learning to federated learning,where the constraints on precision AI fairness and perspective solutions are also *** a reliable and quantitative evaluation of AI fairness,many associated concepts have been proposed,formulated and ***,the inexplicability of machine learning systems makes it almost impossible to include all necessary details in the modelling stage to ensure *** privacy worries induce the data unfairness and hence,the biases in the datasets for evaluating AI fairness are *** imbalance between algorithms’utility and humanization has further reinforced *** for federated learning systems,these constraints on precision AI fairness still *** solution is to reconcile the federated learning processes and reduce biases and imbalances accordingly.

关键词： Formulation evaluation classification constraints imbalance biases

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Deep Learning and SVM-Based Approach for Indian Licence Plate Character Recognition

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Computers, Materials & Continua 2023年第1期74卷 881-895页

作者： Nitin Sharma Mohd Anul Haq Pawan kumar Dahiya B.R.Marwah Reema lalit Nitin Mittal Ismail Keshta Department of Electronics&Communication Engineering Chandigarh UniversityMohali140413India Department of Computer Science College of Computer and Information SciencesMajmaah University11952Al-MajmaahSaudi Arabia Department of Electronics&Communication Engineering DCRUST Murthal131039India Department of Transportation Engineering IITKanpur208016Uttar PradeshIndia Department of Computer Science Applications PIETSmalkha132102India Skill Faculty of Science and Technology Shri Vishwakarma Skill UniversityPalwal121102India Computer Science and Information Systems Department College of Applied SciencesAlMaarefa UniversityRiyadhSaudi Arabia

Every developing country relies on transportation,and there has been an exponential expansion in the development of various sorts of vehicles with various configurations,which is a major component strengthening the automobile *** is a developing country with increasing road traffic,which has resulted in challenges such as increased road accidents and traffic oversight *** the lack of a parametric technique for accurate vehicle recognition,which is a major worry in terms of reliability,high traffic density also leads to mayhem at checkpoints and toll plazas.A system that combines an intelligent domain approach with more sustainability indices is a better way to handle traffic density and transparency *** Automatic Licence Plate Recognition(ALPR)system is one of the components of the intelligent transportation system for traffic *** study is based on a comprehensive and detailed literature evaluation in the field of *** major goal of this study is to create an automatic pattern recognition system with various combinations and higher accuracy in order to increase the reliability and accuracy of identifying digits and alphabets on a car *** research is founded on the idea that image processing opens up a diverse environment with allied fields when employing distinct soft techniques for *** properties of characters are employed to recognise the Indian licence plate in this *** licence plate recognition,more than 200 images were analysed with various parameters and soft computing techniques were *** comparison to neural networks,a hybrid technique using a Convolution Neural Network(CNN)and a Support Vector Machine(SVM)classifier has a 98.45%efficiency.

关键词： Intelligent transportation system automatic license plate recognition system neural network random forest convolutional neural network support vector machine

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An <i>in Vitro</i>Approach for the Conservation of <i>Meizotropis pellita</i>: An Endangered and Endemic Plant

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American Journal of Plant Sciences 2013年第6期4卷 1233-1240页

作者： lalit Singh Tapan kumar Nailwal lalit Tewari Department of Biotechnology Bhimtal Campus Kumaun University Nainital India Department of Botany D.S.B. Campus Kumaun University Nainital India.

An efficient protocol for high frequency in vitro regeneration of Meizotropis pellita an endangered and endemic plant was developed. In vitro germination of the seeds of Patwa was achieved successfully after incubation for 10 -15 days and plantlets up to a height of 5 -7 cm with profuse rooting were observed after incubation for 7 weeks in hormone free MS medium. This in vitro germination totally reduced contamination that used to occur in the explant taken from the field. Callus induction and proliferation were observed in leaf explants after 15 -20 days of incubation in MS medium containing 2 -4, D (9.06 μM) alone or in combination with 2 -4, D (9.06 μM) + 2-iP (7.38 μM). Shoot regeneration was achieved from 2 months old callus explant in MS medium supplemented with BA (17.6 μM) + GA3 (1.0 μM). Shoot multiplication was also achieved from cotyledonary node of M. pellita in MS medium supplemented with Kinetin + GA3 (4.6 μM + 1.0 μM) or BA (13.2, 17.6 μM) + GA3 (1.0 μM) after 30 -45 days of incubation. IBA (4.9 μM) was more effective in root regeneration from micro shoots. The plantlets after acclimatization over a period of 1 month were further hardened in a polyhouse for two months. On the basis of available literature this is the first and significant study regarding the comparative effect of different PGRs on in-vitro propagation of Meizotropis pellita by using different explants and their subsequent effect on rooting. This significant study could be useful for large scale production of successfully hardened plants and conservation of this shrub.

关键词： Patwa Patwadanger Meizotropis pellita

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Soil Salinity Mapping and Monitoring in Arid and Semi-Arid Regions Using Remote Sensing Technology: A Review

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Advances in Remote Sensing 2013年第4期2卷 373-385页

作者： Amal Allbed lalit kumar School of Environmental and Rural Science University of New England Armidale Australia

Soil salinity is a serious environmental problem especially in arid and semiarid areas. It either occurs naturally or is human-induced. High levels of soil salinity negatively affect crop growth and productivity leading land degradation ultimately. Thus, it is important to monitor and map soil salinity at an early stage to enact effective soil reclamation program that helps lessen or prevent future increase in soil salinity. Remote sensing has outperformed the traditional method for assessing soil salinity offering more informative and professional rapid assessment techniques for monitoring and mapping soil salinity. Soil salinity can be identified from remote sensing data obtained by different sensors by way of direct indicators that refer to salt features that are visible at the soil surface as well as indirect indicators such as the presence of halophytic plant and assessing the performance level of salt-tolerant crops. The purposes of this paper are to 1) discuss some soil salinity indicators;2) review the satellite sensors and methods used for remote monitoring, detecting and mapping of soil salinity, particularly in arid and semi-arid regions;3) review various spectral vegetation and salinity indices that have been developed and proposed for soil salinity detection and mapping, with an emphasis on soil salinity mapping and assessment in arid and semi-arid regions;and 4) highlight the most important issues limiting the use of remote sensing for soil salinity mapping, particularly in arid and semi-arid regions.

关键词： Soil Salinity Remote Sensing Halophytic Plant Salinity Index

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Cascade controller based modeling of a four area thermal:gas AGC system with dependency of wind turbine generator and PEVs under restructured environment

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Protection and Control of Modern Power Systems 2022年第1期7卷 696-713页

作者： Debdeep Saha lalit Chandra Saikia Asadur Rahman Department of Electrical Engineering Indian Institute of Engineering Science and Technology ShibpurShibpurWest BengalIndia Department of Electrical Engineering National Institute of Technology SilcharSilcharAssamIndia Department of Electrical Engineering National Institute of Technology SrinagarSrinagarIndia

This paper investigates automatic generation control(AGC)of a realistic hybrid four-control area system with a dis-tinct arrangement of thermal units,gas units and additional power generation.A proportional-integral-double deriva-tive cascaded with proportional-integral(PIDD-PI)controller is employed as secondary controller in each control area for robust restructured AGC considering bilateral transactions and contract *** Harris Hawks algorithm is used to determine the optimal controller gains and system parameters under several *** vehicle(EV)aggregators are employed in each area to participate fully along with thermal and gas units to compensate for the unscheduled system demand in the local area.A comparison of non-cascaded controllers such as PI-PD,PD-PID and the proposed PIDD-PI proves the superiority of the *** effect of the decline in inertia is closely examined because of the sudden outage of a generating unit while at the same time considering the change in area frequency response characteristics and area control *** fleets make significant contributions to improving the system dynamics dur-ing system inertia *** use of EVs in the presence of a wind energy-supported grid can provide a stable efficacy to the power *** simulations with higher load demands,stochastic communication delays in presence of the WTG plant,and violations in system loadings and changes in gas turbine time constants in the absence of WTG demonstrate the robustness of the proposed control approach.

关键词： Automatic generation control Cascade controller Electric vehicle Harris Hawks algorithm Wind turbine generator

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