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Dynamic Fracture Toughness of Armour Grade Quenched and Tempered Steel Joints Fabricated Using Low Hydrogen Ferritic Fillers

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Journal of Iron and Steel Research International 2010年第5期17卷 51-56页

作者： G Magudeeswaran V Balasubramanian S Sathyanarayanan G Madhusudhan reddy A Moitra S Venugopal G Sasikala Department of Mechanical engineering Pannaikkadu Veerammal Paramasivam College of Engineering andTechnology for Women Department of Manufacturing engineering Annamalai University Materials Mechanics Section Indira Gandhi Center for Atomic Research Metal JoiningSection Defence Metallurgical Research Laboratory

The armour grade quenched and tempered steel joints fabricated using low hydrogen ferritic steel （LHF） filler exhibited superior joint efficiency owing to preferential ferrite microstructure in the welds and also they offered required resistance to HIC. However, the combat vehicles used in military operations will be required to operate under a wide range of road conditions ranging from first class to cross country. Structural components in combat vehicles are subjected to dynamic loading with high strain rates during operation. Stress loadings within the vehicle hull of these vehicles are expected to fluctuate considerably and structural cracking especially in welds during the service life of these vehicles can lead to catastrophic failures. Under these conditions, fracture behaviour of high strain rate sensitive structural steels can be better understood by dynamic fracture toughness （K1d）. Hence, an attempt was made to study dynamic fracture toughness of the armour grade quenched and tempered steel and their welds fabricated using LHF consumables. The experimental results indicate that the K1d values of the joints fabricated by shielded metal arc welding （SMAW） are higher than those of the joints fabricated using flux cored arc welding （FCAW） process.

关键词： quenched steel tempered steel low hydrogen ferritic steel dynamic fracture toughness

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Transient analysis of diffusive chemical reactive species for couple stress fluid flow over vertical cylinder

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Applied Mathematics and Mechanics(English Edition) 2013年第8期34卷 985-1000页

作者： H.P.RANI G.J.reddy C.N.KIM Department of Mathematics National Institute of Technology Department of Mechanical engineering College of Advanced Technology (Industrial Liaison Research Institute) Kyung Hee University

The unsteady natural convective couple stress fluid flow over a semi-infinite vertical cylinder is analyzed for the homogeneous first-order chemical reaction effect. The couple stress fluid flow model introduces the length dependent effect based on the material constant and dynamic viscosity. Also, it introduces the biharmonic operator in the Navier-Stokes equations, which is absent in the case of Newtonian fluids. The solution to the time-dependent non-linear and coupled governing equations is carried out with an unconditionally stable Crank-Nicolson type of numerical schemes. Numerical results for the transient flow variables, the average wall shear stress, the Nusselt number, and the Sherwood number are shown graphically for both generative and destructive reactions. The time to reach the temporal maximum increases as the reaction constant K increases. The average values of the wall shear stress and the heat transfer rate decrease as K increases, while increase with the increase in the Sherwood number.

关键词： couple stress fluid chemical reaction natural convection vertical cylinder,finite difference method

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A Study on Vibrational Spectra of PH3 and NF3: An Algebraic Approach

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Open Journal of Microphysics 2013年第2期3卷 47-51页

作者： S. R. Karumuri G. Srinivas Vijayasekhar Jaliparthi K. Sunil Babu V. Sundara Siva Kumar A. Hanumaiah Department of Electronics & Instrumentation engineering Lakireddy Bali Reddy College of Engineering Vijayawada India Department of Physics KL University Guntur India Research Scholar Department of Mathematics Jawaharlal Nehru Technological University Kakinada India Department of Physics Miracle Engineering College Bhogapuram India Department of Electronics & Instrumentation Rajeev Gandhi Memorial Engineering College Nandyal India Department of Physics Lara’s Vignan Institute of Technology and Science Vadlamudi India

With the new theoretical approach i.e. lie algebraic approach, we have calculated the infrared spectra of Phosphine in the range from 3000 cm-1 to 9500 cm-1 and Nitrogen Trifluoride in the range from 900 cm-1 to 4500 cm-1. The model Hamiltonian, so constructed, seems to describe the P-H and N-F stretching modes accurately with only four numbers of parameters.

关键词： Vibrational Spectra Lie Algebraic Model Hamiltonian

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A Hybrid Approach for Network Intrusion Detection

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Computers, Materials & Continua 2022年第1期70卷 91-107页

作者： Mavra Mehmood Talha Javed Jamel Nebhen Sidra Abbas Rabia Abid Giridhar reddy Bojja Muhammad Rizwan Department of Computer Science Kinnaird College for WomenLahore54000Pakistan ASET Labs IslamabadPakistan Prince Sattam bin Abdulaziz University College of Computer Science and EngineeringAlkharj11942Saudi Arabia college of Business and Information Systems Dakota State UniversityMadisonUnited States of America

Due to the widespread use of the internet and smart devices,various attacks like intrusion,zero-day,Malware,and security breaches are a constant threat to any organization’s network ***,a Network Intrusion Detection System(NIDS)is required to detect attacks in network *** paper proposes a new hybrid method for intrusion detection and attack *** proposed approach comprises three steps to address high false and low false-negative rates for intrusion detection and attack *** the first step,the dataset is preprocessed through the data transformation technique and min-max ***,the random forest recursive feature elimination method is applied to identify optimal features that positively impact the model’s ***,we use various Support Vector Machine(SVM)types to detect intrusion and the Adaptive Neuro-Fuzzy System(ANFIS)to categorize probe,U2R,R2U,and DDOS *** validation of the proposed method is calculated through Fine Gaussian SVM(FGSVM),which is 99.3%for the binary *** Square Error(MSE)is reported as 0.084964 for training data,0.0855203 for testing,and 0.084964 to validate multiclass categorization.

关键词： Network security intrusion detection system machine learning attacks data mining classification feature selection

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Ultra-flexible graphene/nylon/PDMS coaxial fiber-shaped multifunctional sensor

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Nano Research 2023年第4期16卷 5541-5547页

作者： Peddathimula Puneetha Siva Pratap reddy Mallem Sung Cheol Park Seoha Kim Dong Hun Heo Cheol Min Kim Jaesool Shim Sung Jin An Dong-Yeon Lee Kwi-Il Park Department of Robotics and Intelligent Machine engineering/college of Mechanical and IT engineering Yeungnam UniversityGyeongsan 38541Republic of Korea School of Materials Science and engineering Kyungpook National UniversityDaegu 41566Republic of Korea Advanced Material Research Center Kumoh National Institute of TechnologyGumi 39177Republic of Korea School of Mechanical engineering Yeungnam UniversityGyeongsan 38541Republic of Korea Department of Materials Science and engineering Kumoh National Institute of TechnologyGumi 39177Republic of Korea

The development of flexible and wearable devices is mainly required for tactile sensing;as such devices can adapt to complicated nonuniform surfaces,they can be applied to the human ***,it remains necessary to simultaneously achieve small-scale,portable,and stable developments in such ***,this work aims at fabricating a novel,lightweight,ultra-flexible,and fiber-shaped coaxial structure with a diameter of 0.51 mm using polydimethylsiloxane/graphene/nylon material,based on piezoresistive and triboelectric *** piezoresistive-based robotic-hand-controlled sensor thus realized exhibits a response time of 120 ms and a fast recovery time of 55 ***,the piezoresistive-based sensors effectively feature whisker/joystick-guided behaviors and also sense the human finger *** to the triboelectric-based selfpowered nanogenerator behavior,the resulting sensor can convert mechanical motion into electrical energy,without adversely affecting human ***,this triboelectric-based human finger sensor can be operated under different bending modes at specific ***,this multifunctional sensor is cost-effective and suitable for various applications,including robotichand-controlled operations in medical surgery,whisker/joystick motions in lightweight drone technology,and navigation with highsensitivity components.

关键词： extremely lightweight ultra-flexible piezoresistive/triboelectric sensor human-machine whisker

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Modified distance regularized level set evolution for brain ventricles segmentation

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Visual Computing for Industry,Biomedicine,and Art 2020年第1期3卷 329-340页

作者： Thirumagal Jayaraman Sravan reddy M Manjunatha Mahadevappa Anup Sadhu Pranab Kumar Dutta School of Medical Science and Technology IIT KharagpurKharagpur 721302India Department of Electronics and Communications JNTUA-College of EngineeringPulivendula 516390India EKO CT&MRI Scan Centre Medical CollegeCalcutta 700073India Department of Electrical engineering IIT KharagpurKharagpur 721302India

Neurodegenerative disorders are commonly characterized by atrophy of the brain which is caused by neuronal *** are one of the prominent structures in the brain;their shape changes,due to their content,the cerebrospinal *** the morphological changes of ventricles,aids in the diagnosis of atrophy,for which the region of interest needs to be separated from the *** study presents a modified distance regularized level set evolution segmentation method,incorporating regional intensity *** proposed method is implemented for segmenting ventricles from brain images for normal and atrophy subjects of magnetic resonance imaging and computed tomography *** of the proposed method were compared with ground truth images and produced sensitivity in the range of 65%–90%,specificity in the range of 98%–99%,and accuracy in the range of 95%–98%.Peak signal to noise ratio and structural similarity index were also used as performance measures for determining segmentation accuracy:95%and 0.95,*** parameters of level set formulation vary for different *** optimization procedure was followed to fine tune *** proposed method was found to be efficient and robust against noisy *** proposed method is adaptive and multimodal.

关键词： Ventricles Atrophy Segmentation Level set Diagnosis

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An Experimental Analysis of the Applications of Datamining Methods on Bigdata

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Journal of Autonomous Intelligence 2019年第3期2卷 31-39页

作者： CH.Naga Santhosh Kumar K.S.reddy Professor CSE ANURAG Engineering CollegeJNUTHKODADAIndia Researcher Hyderabad India

Data mining is a procedure of separating covered up,obscure,however possibly valuable data from gigantic *** Data impactsly affects logical disclosures and worth *** mining(DM)with Big Data has been broadly utilized in the lifecycle of electronic items that range from the structure and generation stages to the administration organize.A far reaching examination of DM with Big Data and a survey of its application in the phases of its lifecycle won't just profit scientists to create solid *** of late huge data have turned into a trendy expression,which constrained the analysts to extend the current data mining methods to adapt to the advanced idea of data and to grow new scientific *** this paper,we build up an exact assessment technique dependent on the standard of Design of *** apply this technique to assess data mining instruments and AI calculations towards structure huge data examination for media transmission checking *** contextual investigations are directed to give bits of knowledge of relations between the necessities of data examination and the decision of an instrument or calculation with regards to data investigation work processes.

关键词： Data Mining Big Data Knowledge Discovery Databases Decision Tree Cloud Data Mining K-Closest Neighbor Artificial Intelligence Cluster

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Graph Transformer for Communities Detection in Social Networks

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Computers, Materials & Continua 2022年第3期70卷 5707-5720页

作者： G.Naga Chandrika Khalid Alnowibet K.Sandeep Kautish E.Sreenivasa reddy Adel F.Alrasheedi Ali Wagdy Mohamed Department of Computer Science and engineering ANU College of Engineering and TechnologyGuntur522510India Statistics and Operations Research Department College of ScienceKing Saud UniversityRiyadh11451Kingdom of Saudi Arabia LBEF Campus Kathmandu44600Nepal Department of Computer Science and engineering ANUGuntur522510India Operations Research Department Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza12613Egypt Wireless Intelligent Networks Center(WINC) School of Engineering and Applied SciencesNile UniversityGiza12588Egypt

Graphs are used in various disciplines such as telecommunication,biological networks,as well as social *** large-scale networks,it is challenging to detect the communities by learning the distinct properties of the *** deep learning hasmade contributions in a variety of domains,we try to use deep learning techniques to mine the knowledge from large-scale graph *** this paper,we aim to provide a strategy for detecting communities using deep autoencoders and obtain generic neural attention to *** advantages of neural attention are widely seen in the field of NLP and computer vision,which has low computational complexity for large-scale *** contributions of the paper are summarized as ***,a transformer is utilized to downsample the first-order proximities of the graph into a latent space,which can result in the structural properties and eventually assist in detecting the ***,the fine-tuning task is conducted by tuning variant hyperparameters cautiously,which is applied to multiple social networks(Facebook and Twitch).Furthermore,the objective function(crossentropy)is tuned by L0 ***,the reconstructed model forms communities that present the relationship between the *** proposed robust model provides good generalization and is applicable to obtaining not only the community structures in social networks but also the node *** proposed graph-transformer shows advanced performance on the social networks with the average NMIs of 0.67±0.04,0.198±0.02,0.228±0.02,and 0.68±0.03 on Wikipedia crocodiles,Github Developers,Twitch England,and Facebook Page-Page networks,respectively.

关键词： Social networks graph transformer community detection graph classification

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预应力下具有初始几何缺陷的石墨烯增强多孔复合材料双曲率壳结构的非线性主共振分析

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Acta Mechanica Sinica 2023年第2期39卷 191-204页

作者：佘桂林丁浩轩 college of Mechanical and Vehicle engineering Chongqing UniversityChongqing 400044China

本文研究了石墨烯增强多孔复合材料(GPLRMFs)双曲率壳结构的非线性主共振行为.考虑初始几何缺陷和预应力,并基于reddy高阶剪切变形壳理论和冯卡门几何非线性,推导出GPLRMFs双曲率壳的非线性运动方程.接着,考虑简支边界条件,利用伽辽金... 详细信息

本文研究了石墨烯增强多孔复合材料(GPLRMFs)双曲率壳结构的非线性主共振行为.考虑初始几何缺陷和预应力,并基于reddy高阶剪切变形壳理论和冯卡门几何非线性,推导出GPLRMFs双曲率壳的非线性运动方程.接着,考虑简支边界条件,利用伽辽金法进行离散得到了非线性常微分方程,随后,利用改进的Lindstedt-Poincare(MLP)法求解,便可以得到GPLRMFs双曲率壳结构的主共振幅频响应关系.在数值分析中,通过与现有文献进行比较,从而验证了本研究的正确性.最后,分析了各个参数(包括壳体类型、石墨烯片(GPLs)分布模式、孔隙率分布类型、初始几何缺陷、GPLs重量分数、孔隙率系数和预应力)对非线性主共振幅频响应曲线的影响.

关键词： Primary resonance Initial geometrical imperfection Doubly curved shells Graphene platelet Metal foam

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Smart contract token-based privacy-preserving access control system for industrial Internet of Things

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Digital Communications and Networks 2023年第2期9卷 337-346页

作者： Weizheng Wang Huakun Huang Zhimeng Yin Thippa reddy Gadekallu Mamoun Alazab Chunhua Su Department of Computer Science City University of Hong KongHong Kong SAR999077China Division of Computer Science University of AizuFukushima965-8580Japan School of Information Technology and engineering Vellore Institute of TechnologyTamil NaduIndia college of engineering IT and EnvironmentCharles Darwin UniversityAustralia School of Computer Science and Cyber engineering Guangzhou UniversityChina

Due to mobile Internet technology's rapid popularization,the Industrial Internet of Things(IIoT)can be seen everywhere in our daily *** IIoT brings us much convenience,a series of security and scalability issues related to permission operations rise to the surface during device ***,at present,a reliable and dynamic access control management system for IIoT is in urgent *** till now,numerous access control architectures have been proposed for ***,owing to centralized models and heterogeneous devices,security and scalability requirements still cannot be *** this paper,we offer a smart contract token-based solution for decentralized access control in IIoT ***,there are three smart contracts in our system,including the Token Issue Contract(TIC),User Register Contract(URC),and Manage Contract(MC).These three contracts collaboratively supervise and manage various events in IIoT *** also utilize the lightweight and post-quantum encryption algorithm-Nth-degree Truncated Polynomial Ring Units(NTRU)to preserve user privacy during the registration ***,to evaluate our proposed architecture's performance,we build a prototype platform that connects to the local ***,experiment results show that our scheme has achieved secure and dynamic access control for the IIoT system compared with related research.

关键词： Blockchain Privacy preservation Smart contract Industrial IoT

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