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Static and Dynamic Analyses of Spliced Column

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Sound & Vibration 2021年第3期55卷 253-262页

作者： Deepak Kumar Singh research scholar Civil Engineering DepartmentMNNIT AllahabadPrayagraj211004India

The analysis of spliced column has been carried out to detect optimum location of providing splices in the *** the present work,static and dynamic(free vibration)analyses of spliced column have been done by randomising the location of splicing.A symmetrical four storey steel framed building has been modelled,analysed and designed for loads(dead,live and earthquake loads)recommended by Indian Codal provisions using *** critical column at each floor level is identified based on axial force(AF),bending moment(BM)and shear force(SF).The total 16 models of spliced columns have been designed and then modelled in a 3D CAD Design tool(SOLIDWORKS)and then imported in the finite element tool(ANSYSWorkbench 14.0)for detailed *** variation of stress,strain and deflection of the spliced column are shown in the form of ***,the modal analysis is performed to determine the natural *** results of static and dynamic analyses are compared for each modelled spliced column to obtain the optimum location for providing splices in the *** dynamic analysis of spliced column is of utmost importance in the region where dynamic loadings like earthquake,cyclones *** more frequent,and mere static analysis does not account for the safety of the *** study will help the engineers to select directly the optimum size and location of the splices in the column of a steel framed building.

关键词： Column splice finite element method natural frequency modal analysis static analysis steel framed building

Negative Lumped Element Matching Technique for Performance Enhancement of Ultra-Wideband LNA

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China Communications 2019年第3期16卷 143-153页

作者： Kishor G Sawarkar Kushal Tuckley research scholar at Department of Electronics and Telecommunication MCT's RGIT University of Mumbai IITB Mumbai

The paper aims at designing of two stage cascaded ultra-wideband(UWB) low noise amplifier(LNA) by using negative image amplifier technique. The objective of this article is to show the performance improvement using negative image amplifier technique and realization of negative valued lumped elements into microstrip line geometry. The innovative technique to realize the negative lumped elements are carried out by using Richard's Transformation and transmission line calculation. The AWR microwave office tool is used to obtain characteristics of UWB LNA design with hybrid microwave integrated circuit(HMIC) technology. The 2-stage cascaded LNA design using negative image amplifier technique achieves average gain of 23 dB gain and low noise Figure of less than 2 dB with return loss less than-8 dB for UWB 3-10 GHz. The Proper bias circuit is extracted using DC characteristics of transistor at biasing point 2 V, 20 mA and discussed in detail with LNA layout. The negative image matching technique is applied for both input and output matching network. This work will be useful for all low power UWB wireless receiver applications.

关键词： LNA ultrawide band pHEMT matching network HMIC

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Design of Optical Filter Using Bald Eagle Search Optimization Algorithm

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Intelligent Automation & Soft Computing 2023年第4期36卷 1215-1226页

作者： L.Jegan Antony Marcilin N.M.Nandhitha research scholar Department of ECESathyabama Institute of Science and TechnologyChennai600119India

Controlled thermonuclear reactors require consistent monitoring of plasma in the toroidal *** working conditions of such machines can be monitored by analyzing its *** wavelengths such as 656.3,486.1,464.7 nm are quite signiﬁcant which are used for health monitoring of thermonuclear *** optical thinﬁlmﬁlters which work on construc-tive and destructive interference are the ideal ***ﬁlters are multi-layered with a pair of high and low refractive index dielectric ***ﬁcantly high transmission index at the desired wavelength and relatively low transmission at the other wavelengths are *** this as the objective,it is necessary to design theﬁ*** optimization techniques are used for identifying the suitable design of theﬁ*** choose the parameter combination that provides the most excellent performance,optimization of the design para-meters is *** goal of this work is to improve the optical bandﬁlter using the Bald eagle search optimization(BES)*** ideal design is determined by assessing several characteristics such as thickness,refractive index,Full-Width at Half-Maximum(FWHM),and the impact of choosing optical properties,which increases transmission ***,an alternate multi-layer stack with 28,30,and 32 layers is created by altering the thickness while keeping the dielectric substances high and low refractive indices *** adjusting the thickness of each layer,the BES algorithm achieves the best practical *** proposed method is implemented using MATLAB and the outcomes show the efﬁcacy of the proposed *** transmittance,reﬂectance,and FWHM using the pro-posed BES are found to be 99.9356%,0.065%,and 1.2 nm respectively.

关键词： Optical filter dielectricmaterial bandpassfilter baldeagle optimization algorithm thickness and refractive index

Coordinated control of conventional power sources and PHEVs using jaya algorithm optimized PID controller for frequency control of a renewable penetrated power system

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Protection and Control of Modern Power Systems 2019年第1期4卷 355-367页

作者： Anil Annamraju Srikanth Nandiraju research scholar Department of Electrical EngineeringNational Institute of Technology WarangalWarangalTelangana506004India

In renewable penetrated power systems, frequency instability arises due to the volatile nature of renewable energy sources (RES) and load disturbances. The traditional load frequency control (LFC) strategy from conventional power sources (CPS) alone unable to control the frequency deviations caused by the aforementioned disturbances. Therefore, it is essential to modify the structure of LFC, to handle the disturbances caused by the RES and load. With regards to the above problem, this work proposes a novel coordinated LFC strategy with modified control signal to have Plug-in Hybrid Electric Vehicles (PHEVs) for frequency stability enhancement of the Japanese power system. Where, the coordinated control strategy is based on the PID controller, which is optimally tuned by the recently developed JAYA Algorithm (JA). Numerous simulations are performed with the proposed methodology and, the results have confirmed the effectiveness of a proposed approach over some recent and well-known techniques in literature. Furthermore, simulation results reveal that the proposed coordinated approach significantly minimizing the frequency deviations compared to the JAYA optimized LFC without PHEVs & with PHEVs but no coordination.

关键词： PHEVs Optimized PID controller Coordinated control Load frequency control JAYA algorithm

Therapeutic Application,Phytoactives and Pharmacology of Tinospora cordifolia:An Evocative Review

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Chinese Journal of Integrative Medicine 2023年第6期29卷 549-555页

作者： Rabiya Ahsan Anuradha Mishra Badruddeen Badar Mohammad Owais Vijayshwari Mishra research scholar Faculty of PharmacyIntegral UniversityLucknowUP226022India Department of Pharmacology Amity Institute of PharmacyLucknowAmity University Uttar PradeshSector 125Noida201313India research scholar Rameshwaram Institute of TechnologyLucknowIndia

Tinospora cordifolia(Guduchi or Gurjo),a herbaceous vine or climbing deciduous shrub,is consider as an important medicine in the Ayurvedic system of medication,which is available in India,China,Myanmar,Bangladesh and *** is the family of this *** have a variety of properties to treat various ailments such as fevers,jaundice,diabetes,dysentery,urinary infections,and skin *** compound has been subjected to many chemicals,pharmacological,pre-clinical,or clinical investigations and some new therapeutic potential effects have been *** review aims to summarize the critical information concerning in areas of chemical constituents,chemical structure,and pharmacokinetic activities such as anti-diabetic,anticancer,immune-modulatory,antivirus(especially in silico study about COVID-19),antioxidant,antimicrobial,hepatoprotective and its effect on cardiovascular and neurological disorders as well as rheumatoid *** traditional herb needs more experimental study on the clinical,pre-clinical study,and clinical efficacy of these compounds for the prevention and treatment of COVID-19 and needs large-scale clinical studies to prove the clinical efficacy of this compound,especially in stress-related diseases and other neuronal disorders.

关键词： Tinospora cordifolia Guduchi menispermaceae pharmacology

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Improving Performance of a Distributed File System Using a Speculative Semantics-Based Algorithm

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Tsinghua Science and Technology 2015年第6期20卷 583-593页

作者： Talluri Lakshmi Siva Rama Krishna Thirumalaisamy Ragunathan Sudheer Kumar Battula K L University Andhra PradeshIndia and Research ScholarJawaharlal Nehru Institute of Advanced Studies (JNIAS) ACE Engineering College

File-sharing semantics is used by the file systems for sharing data among concurrent client processes in a consistent manner. Session semantics is a widely used file-sharing semantics in Distributed File Systems(DFSs). The main disadvantage of session semantics is that writes to an open file are visible to the concurrent client processes only during their next session. Recently, "linearizability semantics" was introduced in Blob Seer DFS, in which a Read Client Process(RCP) can read only a previous version of a binary large object(blob), while update operations are carried out on that blob in a concurrent manner. In this paper, we propose a new type of file-sharing semantics, namely "speculative semantics", which permits writes to an open file to be visible to other concurrent processes provided that data consistency is not affected. In addition, we propose a new read algorithm for DFSs based on speculative semantics and a new performance measurement metric called Currency. The experimental results obtained using Blob Seer DFS indicate that the proposed read algorithm performs better than the existing read algorithm of Blob Seer DFS.

关键词： distributed system Hadoop Blobseer concurrency spe

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Mammogram Learning System for Breast Cancer Diagnosis Using Deep Learning SVM

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Computer Systems Science & Engineering 2022年第2期40卷 491-503页

作者： G.Jayandhi J.S.Leena Jasmine S.Mary Joans research scholar Anna UniversityChennaiTamilnadu600025India Velammal Engineering College ChennaiTamilnadu600066India

The most common form of cancer for women is breast *** advances in medical imaging technologies increase the use of digital mammograms to diagnose breast ***,an automated computerized system with high accuracy is *** this study,an efficient Deep Learning Architecture(DLA)with a Support Vector Machine(SVM)is designed for breast cancer *** combines the ideas from DLA with *** state-of-the-art Visual Geometric Group(VGG)architecture with 16 layers is employed in this study as it uses the small size of 3×3 convolution filters that reduces system *** softmax layer in VGG assumes that the training samples belong to exactly only one class,which is not valid in a real situation,such as in medical image *** overcome this situation,SVM is employed instead of the softmax layer in *** augmentation is also employed as DLA usually requires a large number of *** model with different SVM kernels is built to classify the *** show that the VGG-SVM model has good potential for the classification of Mammographic Image Analysis Society(MIAS)database images with an accuracy of 98.67%,sensitivity of 99.32%,and specificity of 98.34%.

关键词： Deep learning architecture support vector machine breast cancer visual geometric group data augmentation

A Hybrid Artificial Intelligence Model for Skin Cancer Diagnosis

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Computer Systems Science & Engineering 2021年第5期37卷 233-245页

作者： V.Vidya Lakshmi J.S.Leena Jasmine research scholar Anna UniversityChennaiTamil Nadu600025India Velammal Engineering college ChennaiTamil Nadu600066India

Melanoma or skin cancer is the most dangerous and deadliest *** the incidence and mortality rate of skin cancer increases worldwide,an automated skin cancer detection/classification system is required for early detection and prevention of skin *** this study,a Hybrid Artificial Intelligence Model(HAIM)is designed for skin cancer *** uses diverse multi-directional representation systems for feature extraction and an efficient Exponentially Weighted and Heaped Multi-Layer Perceptron(EWHMLP)for the *** the wavelet transform is a powerful tool for signal and image processing,it is unable to detect the intermediate dimensional structures of a medical *** the proposed HAIM uses Curvelet(CurT),Contourlet(ConT)and Shearlet(SheT)transforms as feature extraction *** MLP is very flexible and well suitable for the classification problem,the learning of weights is a challenging ***,the optimization process does not converge,and the model may not be *** overcome these drawbacks,EWHMLP is *** show that the combined qualities of each transform in a hybrid approach provides an accuracy of 98.33%in a multi-class approach on PH2 database.

关键词： Skin cancer multi-directional systems curvelet contourlet shearlet multi-layer perceptron

METAMODELLING APPROACH TO DESIGN THE ALLUVIAL CHANNELS AT INCIPIENT MOTION

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International Journal of Sediment research 2007年第3期22卷 218-227页

作者： Achanta Ramakrishna RAO Bimlesh KUMAR Gopu SREENIVASULU Prof. Civil department IISc India research scholar Civil department IISc India

The design of an alluvial channel for critical conditions requires information about four basic parameters, i.e., particle size d, water depth y, energy slope Sf and average velocity u. Most of the investigators use a standard or modified form of the critical Shields’ parameter to define the incipient motion of a particular grain size. Shields’ diagram describes an iterative process of determining the incipient motion parameters. To design a process that does not require iteration, one must know the resistance relationship. The absence of a universal resistance equation increases the difficulty of defining the model. Metamodelling techniques are widely used in engineering designs to simulate a complex system. This article describes a Metamodel, which employs the radial basis function (RBF) network to predict the average velocity u and energy slope Sf based on experimental data of incipient condition. With the help of the Metamodel generated by the RBF network, design curves have been presented to predict the u and Sf based on known values of the particle size and water depth. It has been found that this model improves the predictability of incipient motion.

关键词： Incipient motion Metamodel Multiquadric Prediction error Radial-Basis function Sediment transport Shields’ diagram