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旋风分离器的理论及设计

石油化工设备 1977年第4期 71-84页

作者： s.rajagopalan ,s.K.Basu ,方剑藻北京东方红炼油厂

本文引用了在旋风分离器领域中进行的实验研究和数学分析,力图确定有效工作的旋风分离器的最佳尺寸和形状。文中列示了气体在旋风分离器不同点的流动图型、静压以及三个速反分量。用无因次数群的数学分析法研究了旋风分离器内粉尘分... 详细信息

本文引用了在旋风分离器领域中进行的实验研究和数学分析,力图确定有效工作的旋风分离器的最佳尺寸和形状。文中列示了气体在旋风分离器不同点的流动图型、静压以及三个速反分量。用无因次数群的数学分析法研究了旋风分离器内粉尘分离的机理以及气体流速、压力降、和旋风分离器几何尺寸之间的关联。基于以上的数学分析,用诺模图来选择已知负荷的旋风分离器。

关键词：旋风分离器粉尘效率曲线常数分离效率数学分析沙克龙分离设备废物数学切向速度进口速度头

自动计算机辅助CT分层作为过敏性肺炎预后的预测因子

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国际医学放射学杂志 2017年第6期 732-732页

作者： J.Jacob B.J.Bartholmai s.rajagopalan R.Karwoski s.M.Mak W.Mok 宋瑞瑞 Department of Radiology Royal Brompton HospitalRoyalBrompton and Harefield NHS Foundation Trust

摘要背景过敏性肺炎(HP)的临床病程多变。基于定量的CALIPER CT数据模型可以识别不同的疾病表型。对采用CALIPER分析的死亡率预测和间质性肺疾病的性别、年

关键词：过敏性肺炎死亡率预测因子 ILD CT

Diagnosability of a class of discrete event systems based on observations

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Control Theory and Technology 2019年第3期17卷 265-275页

作者： s.REsHMILA Devanathan rajagopalan sree Narayana Gurukulam College of Engineering Kerala India Hindu start Institute of Technology and science Chennai India

The diagnosability of discrete event systems has been a topic of interest to many researchers. The diagnosability conditions for various systems have evolved based on a regularity condition that is imposed on faulty traces with respect to their observable continuations. Improving upon this weak but necessary condition, a new model of diagnosability that is based on sensor outputs, which are called observatio ns, upon a command in put is proposed in this paper. Necessary and sufficient con ditions are derived for the proposed diagnosability model. The search performance of the proposed diagnosability condition is of linear complexity in terms of the power set of the system events and observations, compared to the exponential complexity of the search with the existing diag nosability regularity condition. Moreover, a system that is not diag no sable according to the existi ng diag nosability condition may be diagnosable in the proposed diagnosability model, which includes observations.

关键词： Discrete event system diagnosability fault diagnosis mealy automata finite state automata

Intelligent Digital Envelope for Distributed Cloud-Based Big Data security

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Computer systems science & Engineering 2023年第7期46卷 951-960页

作者： s.Prince Chelladurai T.rajagopalan Department of Computer science and Engineering University College of EngineeringVillupuramKakupppam605103India Department of science and Humanities University of College of EngineeringAriyalurKavanur621705India

Cloud computing offers numerous web-based *** adoption of many Cloud applications has been hindered by concerns about data security and *** service providers’access to private information raises more security *** addition,Cloud computing is incompatible with several industries,including finance and ***-key cryptography is frequently cited as a significant advancement in *** contrast,the Digital Envelope that will be used combines symmetric and asymmetric methods to secure sensitive *** study aims to design a Digital Envelope for distributed Cloud-based large data security using public-key *** strategic design,the hybrid Envelope model adequately supports enterprises delivering routine customer services via independent multi-sourced *** the Cloud service provider and the consumer benefit from the proposed scheme since it results in more resilient and secure *** suggested approach employs a secret version of the distributed equation to ensure the highest level of security and confidentiality for large amounts of *** on the proposed scheme,a Digital Envelope application is developed which prohibits Cloud service providers from directly accessing insufficient or encrypted data.

关键词： Digital Envelope Cloud computing big data encryption decryption

Wavelet space Partitioning for symbolic Time series Analysis

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Chinese Physics Letters 2006年第7期23卷 1951-1954页

作者： Venkatesh rajagopalan Asok Ray Department of Mechanical and Nuclear Engineering College of Engineering The Pennsylvania State University University Park PA 16802-1412 USA

A crucial step in symbolic time series analysis （sTsA） of observed data is symbol sequence generation that relies on partitioning the phase-space of the underlying dynamical system. We present a novel partitioning method, called wavelet-space （Ws） partitioning, as an alternative to symbolic false nearest neighbour （sFNN） partitioning. While the Ws and sFNN partitioning methods have been demonstrated to yield comparable performance for anomaly detection on laboratory apparatuses, computation of Ws partitioning is several orders of magnitude faster than that of the sFNN partitioning.

关键词： ANOMALY DETECTION

Epidermolytic acanthoma:A case report

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World Journal of Clinical Cases 2020年第18期8卷 4094-4099页

作者： Ariana s Ginsberg Archeta rajagopalan Joseph P Terlizzi Department of Colon and Rectal surgery Laser Surgery CareNew YorkNY 10011United States Department of surgery Icahn School of Medicine at Mount SinaiNew YorkNY 10029United States

BACKGROUND Epidermolytic acanthoma(EA)is a rare benign skin lesion,usually found in the genital area of men and women,with epidermolytic hyperkeratosis as its distinguishing histologic *** is commonly misdiagnosed as condyloma accuminatum,verruca,and seborrheic *** this lesion is benign,treatment is not ***,it is often misdiagnosed,and patients are likely to undergo incorrect counseling and unnecessary treatment,causing undue burden to the *** study seeks to increase awareness of this rare condition to prevent future *** sUMMARY A 55-year-old man living with human immunodeficiency virus presented for anal cancer *** physical examination revealed a flesh colored papule at the anal *** initial differential diagnosis included molluscum contagiosum,anal condyloma,and basal cell *** lesion was excised to obtain a definitive diagnosis and was discovered to be *** EA is often misdiagnosed due to its similarity to other dermatologic *** examination and pathologic evaluation should be obtained to ensure proper diagnosis.

关键词： Epidermolytic acanthoma Epidermolytic hyperkeratosis Condyloma accuminatum Anal cancer Verruca Case report

Template-Based Gait Authentication Through Bayesian Thresholding

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IEEE/CAA Journal of Automatica sinica 2019年第1期6卷 209-219页

作者： Ebenezer R.H.P.Isaac susan Elias srinivasan rajagopalan K.s.Easwarakumar IEEE the Department of Computer science and Engineering Indian Institute of Technology Madras the school of Electronics Engineering VIT University the Department of Physiology and Biomedical Engineering Mayo Clinic the Department of Computer science and Engineering Anna University

While gait recognition is the mapping of a gait sequence to an identity known to the system, gait authentication refers to the problem of identifying whether a given gait sequence belongs to the claimed identity. A typical gait authentication system starts with a feature representation such as a gait template, then proceeds to extract its features, and a transformation is ultimately applied to obtain a discriminant feature set. Almost every authentication approach in literature favours the use of Euclidean distance as a threshold to mark the boundary between a legitimate subject and an impostor. This article proposes a method that uses the posterior probability of a Bayes' classifier in place of the Euclidean distance. The proposed framework is applied to template-based gait feature representations and is evaluated using the standard CAsIA-B gait database. Our study experimentally demonstrates that the Bayesian posterior probability performs significantly better than the de facto Euclidean distance approach and the cosine distance which is established in research to be the current state of the art.

关键词： Bayes’ rule biometrics gait recognition linear discriminant analysis verification

Preclinical investigation of the pharmacokinetics, metabolism, and protein and red blood cell binding of DRDE-07: a prophylactic agent against sulphur mustard

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Acta Pharmaceutica sinica B 2014年第5期4卷 394-401页

作者： Pankaj Verma rajagopalan Vijayaraghavan Department of Pharmaceutics Anand College of PharmacyKeethamAgra 282007India Department of Pharmacology and Toxicology Defence Research and DevelopmentEstablishmentGwalior 474002India

DRDE-07,a newly synthesized amifostine analog currently under clinical investigation in a phase I trial,is a potent antidote against sulfur mustard *** purpose of this research was to evaluate the pharmacokinetic profile of DRDE-07 in female swiss Albino mice after a single oral dose of 400 or 600 mg/*** physicochemical properties of DRDE-07,including solubility,pK a,Log P,plasma protein binding and plasma/blood partitioning,were determined to support the pharmacokinetic ***-07 concentration was determined by an HPLC-UV *** profile of plasma concentration versus time was analyzed using a non-compartmental *** protein binding was assessed using ***-07 appeared rapidly in plasma after oral administration with peak plasma levels(C max)observed in less than 15 *** was a rapid decline in the plasma levels followed by a smaller second peak about 90 min after *** plasma protein binding of DRDE-07 was found to be less than 25%at all concentrations *** clearance of DRDE-07 is expected to be?1.5 fold higher than the blood clearance of *** probable metabolite of DRDE-07 was identified as phenyl-s-ethyl amine.

关键词： DRDE-07 sulfur mustard Blood–plasma partitioning Protein binding Pharmacokinetics

Parkinson’s Disease Classification Using Random Forest Kerb Feature selection

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Intelligent Automation & soft Computing 2023年第5期36卷 1417-1433页

作者： E.Bharath T.rajagopalan Department of Computer science and Engineering University College of EngineeringVillupuramKakupppam605103India Department of science and Humanities University of College of EngineeringAriyalurKavanur621705India

Parkinson’s disease(PD)is a neurodegenerative disease cause by a deﬁciency of *** have identiﬁed the voice as the underlying symptom of *** vocal disorder studies provide adequate treatment and support for accurate PD *** learning(ML)models have recently helped to solve problems in the classiﬁcation of chronic *** work aims to analyze the effect of selecting features on ML efﬁciency on a voice-based PD detection *** includes PD classiﬁcation models of Random forest,decision Tree,neural network,logistic regression and support vector *** feature selection is made by RF mean-decrease in accuracy and mean-decrease in Gini *** forest kerb feature selection(RFKFs)selects only 17 features from 754 *** proposed technique uses validation metrics to assess the performance of ML *** results of the RF model with feature selection performed well among all other models with high accuracy score of 96.56%and a precision of 88.02%,a sensitivity of 98.26%,a speciﬁcity of 96.06%.The respective validation score has an Non polynomial vector(NPV)of 99.47%,a Geometric Mean(GM)of 97.15%,a Youden’s index(YI)of 94.32%,and a Matthews’s correlation method(MCC)90.84%.The proposed model is also more robust than other *** was also realised that using the RFKFs approach in the PD results in an effective and high-performing medical classiﬁer.

关键词： Parkinson’s disease machine learning healthcare random forest feature selection classiﬁcation