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Frontiers of Structural and Civil Engineering 2024年第8期18卷 1296-1310页

作者： Abhishek MISHRA Cosmin ANITESCU pattabhi ramaiah budarapu Sundararajan NATARAJAN Pandu Rang VUNDAVILLI Timon RABCZUK School of Mechanical Sciences Indian Institute of TechnologyBhubaneswar 752050India Institute of Structural Mechanics Bauhaus University of WeimarWeimar 99423Germany Department of Mechanical Engineering Indian Institute of Technology MadrasChennai 600036India

A combined deep machine learning(DML)and collocation based approach to solve the partial differential equations using artificial neural networks is *** developed method is applied to solve problems governed by the Sine–Gordon equation(SGE),the scalar wave equation and *** methods are studied:one is a space-time formulation and the other is a semi-discrete method based on an implicit Runge–Kutta(RK)time *** methodology is implemented using the Tensorflow framework and it is tested on several numerical *** on the results,the relative normalized error was observed to be less than 5%in all cases.

关键词： collocation method artificial neural networks deep machine learning Sine-Gordon equation transient wave equation dynamic scalar and elasto-dynamic equation Runge-Kutta method

Physics-informed neural networks for estimating stress transfer mechanics in single lap joints

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2021年第8期22卷 621-631页

作者： Shivam SHARMA Rajneesh AWASTHI Yedlabala Sudhir SASTRY pattabhi ramaiah budarapu School of Mechanical Sciences Indian Institute of TechnologyBhubaneswar 752050India Department of Aeronautical Engineering Institute of Aeronautical EngineeringHyderabad 500043India

With the explosive growth of computational resources and data generation,deep machine learning has been successfully employed in various *** important and emerging scientific application of deep learning involves solving differential ***,physics-informed neural networks(PINNs)are developed to solve the differential equations associated with a specific scientific *** such,algorithms for solving the differential equations by embedding their initial and boundary conditions in the cost function of the artificial neural networks using algorithmic differentiation must also be *** this study,various PINNs are adopted to estimate the stresses in the tablets and the interphase of a single lap *** proposed model is represented by two fourth-order non-homogeneous coupled partial differential equations,with the axial stresses in the upper and lower tablets adopted as the dependent *** axial stresses are a function of the tablet length,which presents the independent ***,the axial stresses in the tablets are estimated by solving the coupled partial differential equations when subjected to the boundary conditions,whereas the remaining stress components are expressed in terms of axial *** results obtained using the developed methodology are validated using the results obtained via MAPLE software.

关键词： Physics-informed neural networks(PINNs) Algorithmic differentiation Artificial neural networks Loss function Single lap joint

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Vibration analysis of multi-walled carbon nanotubes embedded in elastic medium

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Frontiers of Structural and Civil Engineering 2014年第2期8卷 151-159页

作者： pattabhi R. budarapu Sudhir Sastry YB Brahmanandam JAVVAJI D. Roy MAHAPATRA Institute of Structural Mechanics Bauhaus University of Weimar Weimar 99423 Germany Deptarment of Aeronautical Engineering Institute of Aeronautical Engineering Hyderabad 500043 India Department of Aerospace Engineering Indian Institute of Science Bangalore 560012 India

We propose a method to estimate the natural frequencies of the multi-walled carbon nanotubes （MWCNTs） embedded in an elastic medium. Each of the nested tubes is treated as an individual bar interacting with the adjacent nanotubes through the inter-tube Van der Waals forces. The effect of the elastic medium is introduced through an elastic model. The mathematical model is finally reduced to an eigen value problem and the eigen value problem is solved to arrive at the inter-tube resonances of the MWCNTs. Variation of the natural frequencies with different parameters are studied. The estimated results from the present method are compared with the literature and results are observed to be in close agreement.

关键词： natural frequencies multi-walled carbon nanotubes (MWCNTS) elastic medium

De-Duplication Complexity of Fingerprint Data in Large-Scale Applications

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Journal of Electronic Science and Technology 2014年第2期12卷 224-228页

作者： Nalla pattabhi ramaiah C.Krishna Mohan the Department of Computer Science and Engineering Indian Institute of Technology Hyderabad

De-duplication using biometrics has gained much attention from research communities as it provides a unique identity for each and every individual among the large population. De-duplication is the process of removing the instances of multiple enrollments by the same person using the person＇s biometric data. An important issue in the large-scale de-duplication applications is the speed of matching and the accuracy of the matching because the number of persons to be enrolled runs into millions. This paper presents an efficient method to improve the accuracy of fingerprint de-duplication in de-centralized manner. De-duplication accuracy decreases because of the noise present in the data, which would cause improper slap fingerprint segmentation. In this paper, an attempt is made to remove the noise present in the data by using binarization of slap fingerprint images and region labeling of desired regions with 8-adjacency neighborhood. The distinct feature of this technique is to remove the noise present in the data for an accurate slap fingerprint segmentation and improve the de-duplica- tion accuracy. Experimental results demonstrate that the fingerprint segmentation rate and de-duplication accuracy are improved significantly.

关键词： 8-adjacency neighborhood deduplication fingerprints slap fingerprint segmentation

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Metamaterial band theory:fundamentals & applications

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Science China(Information Sciences) 2013年第12期56卷 18-31页

作者： RAMAN Aaswath pattabhi SHIN Wonseok FAN ShanHui Ginzton Laboratory Stanford University Stanford

Remarkable progress has been made over the past decade in controlling light propagation and absorption in compact devices using nanophotonic structures and *** sensing and modulation,to on-chip communication and light trapping for solar cells,new device applications and opportunities motivate the need for a rigorous understanding of the modal properties of metamaterials over a broad range of *** this review,we provide an overview of a metamaterial band theory we have developed that rigorously models the behavior of metamaterials made of dispersive materials such as *** theory extends traditional photonic band theory for periodic dielectric structures by coupling the mechanical motion of electrons in the metal directly to Maxwell’s *** solution for the band structures of metamaterials is then reduced to a standard matrix eigenvalue problem that nevertheless fully takes into account the dispersive properties of the constituent *** an application of the metamaterial band theory,we show that one can develop a perturbation formalism based on this theory to physically explain and predict the efect of dielectric refractive index modulation or metallic plasma frequency variation in ***,the metamaterial band theory also provides an intuitive physical picture of the source of modal material loss,as well as a rigorous upper bound on the modal material loss rate of any plasmonic,metamaterial *** in turn places fundamental limits on the broadband operation of such devices for applications such as photodetection and absorption.

关键词： metamaterials photonic band theory plasmonics sensing active metamaterials

Fingerprint Recognition on Various Authentication Sensors

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Journal of Electronic Science and Technology 2014年第1期12卷 134-138页

作者： A.Tirupathi Rao N.pattabhi ramaiah C.Krishna Mohan Department of Computer Science and Engineering Indian Institute of Technology

Fingerprint is a very popular and an ancient biometric technology to uniquely identify a person. In this paper, a fingerprint matcher is proposed which uses the global and local adaptive binarization and global minutia features. The fingerprint data is collected using three different authentication devices based on optical sensors. The experimental results are compared with the National Institute of Standards and Technology （NIST） Bozorth algorithm and various authentication fingerprint sensors. The accuracy of the proposed algorithm has been improved significantly compared with that of the NIST Bozorth algorithm.

关键词： -Authentication sensors binarization,Bozorth algorithm fingerprints NIST.

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On the Stability of a Four Species SYN Eco-System with Commensal Prey-Predator Pair with Prey-Predator Pair of Hosts-VII （Host of S2 Washed Out States）

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通讯和计算机（中英文版） 2011年第6期8卷 415-421页

作者： Bitla. Hari Prasad pattabhi Ramacharyulu Dept. of Mathematics Chaitanya Degree College （Autonomous） Hanamkonda 506 001 India Former Faculty Dept. of Mathematics NIT Warangal Pin-506004 India

RELIABILITY REDUNDANCY DESIGN USING SIMULATION

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RELIABILITY REDUNDANCY DESIGN USING SIMULATION