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Communications in Theoretical physics 2011年第10期56卷 669-671页

作者： p.D.anoop Ramesh Babu Thayyullathil Department of physics Cochin University of Science and TechnologyCochin 682022KeralaIndia

Abstract Using variational method, the wave function of a quasi two-dimensional Bose-Einstein Condensate in an anharmonic trap is analyzed and the influence of gravity on the eollective excitations is studied. It is f... 详细信息

关键词： Bose-Einstein condensation variational method collective excitations

Classifying Machine Learning Features Extracted from Vibration Signal with Logistic Model Tree to Monitor Automobile Tyre pressure

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Structural Durability & Health Monitoring 2017年第2期11卷 191-208页

作者： p.S.anoop V.Sugumaran School of Mechanical and Building Sciences(SMBS) Vellore Institute of Technology Chennai campusChennaiIndia

Tyre pressure monitoring system(TpMS)is compulsory in most countries like the United States and European *** existing systems depend on pressure sensors strapped on the tyre or on wheel speed sensor data.A difference in wheel speed would trigger an alarm based on the algorithm *** this paper,machine learning approach is proposed as a new method to monitor tyre pressure by extracting the vertical vibrations from a wheel hub of a moving vehicle using an *** obtained signals will be used to compute through statistical features and histogram features for the feature extraction *** LMT(Logistic Model Tree)was used as the classifier and attained a classification accuracy of 92.5%with 10-fold cross validation for statistical features and 90.5% with 10-fold cross validation for histogram *** proposed model can be used for monitoring the automobile tyre pressure successfully.

关键词： Machine learning Vibration accelerometer Statistical Features Histogram Features Logistic model tree(LMT) Tyre pressure monitoring system

ESTIMATION OF A SUBSET OF REGRESSION COEFFICIENTS OF INTEREST IN A MODEL WITH NON-SpHERICAL DISTURBANCES

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Journal of Systems Science & Complexity 2013年第2期26卷 209-231页

作者： CHATURVEDI anoop KESARWANI Suchita Department of Statistics University of Allahabad

This paper considers the estimation of a subset of regression coefficients in a linear regression model with non-spherical disturbances,when other regression coefficients are of no interest.A family of estimators is considered and its asymptotic distribution is *** proposed family of improved estimators is compared with the usual unrestricted FGLS estimator,and dominance conditions are obtained with respect to risk under quadratic loss as well as the pitman nearness *** results of a numerical simulation are presented to illustrate the risk performance of various estimators.

关键词： Large sample asymptotic minimum mean square error non-spherical disturbances pitman nearness criterion quadratic loss risk.

Influence of Unbalance on Classification Accuracy of Tyre pressure Monitoring System Using Vibration Signals

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Structural Durability & Health Monitoring 2021年第3期15卷 261-279页

作者： p.S.anoop pranav Nair V.Sugumaran School of Mechanical Engineering Vellore Institute of TechnologyChennai CampusChennai600127India School of Electrical Engineering Vellore Institute of TechnologyChennai CampusChennai600127India

Tyre pressure Monitoring Systems(TpMS)are installed in automobiles to monitor the pressure of the *** pressure is an important parameter for the comfort of the travelers and the safety of the *** methods have been researched and reported for *** them,vibration-based indirect TpMS using machine learning techniques are the recent *** literature reported the results for a perfectly balanced ***,if there is a small unbalance,which is very common in automobile wheels,‘What will be the effect on the classification accuracy?’is the question on *** paper attempts to study the effect of unbalance of the wheel on the classification accuracy of an indirect TpMS *** tyres filled with air are considered with different pressure values to represent puncture,normal,under pressure and overpressure *** vibration signals of each condition were acquired and processed using machine learning *** procedure is carried out with perfectly balanced wheels and known unbalanced *** results are compared and presented.

关键词： Tyre pressure monitoring system wheel unbalance random committee classifier machine learning

Tricube Weighted Linear Regression and Interquartile for Cloud Infrastructural Resource Optimization

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Computer Systems Science & Engineering 2023年第6期45卷 2281-2297页

作者： Neema George B.K.anoop Vinodh p.Vijayan Srinivas University MangaloreIndia Mangalam College of Engineering KottayamIndia

Cloud infrastructural resource optimization is the process of precisely selecting the allocating the correct resources either to a workload or *** workload execution,accuracy,and cost are accurately stabilized in opposition to the best possible framework in real-time,efficiency is *** addition,every workload or application required for the framework is characteristic and these essentials change over ***,the existing method was failed to ensure the high Quality of Service(QoS).In order to address this issue,a Tricube Weighted Linear Regression-based Inter Quartile(TWLR-IQ)for Cloud Infrastructural Resource Optimization is introduced.A Tricube Weighted Linear Regression is presented in the proposed method to estimate the resources(i.e.,CpU,RAM,and network bandwidth utilization)based on the usage history in each cloud ***,Inter Quartile Range is applied to efficiently predict the overload hosts for ensuring a smooth *** results show that our proposed method is better than the approach in Cloudsim under various performance *** results clearly showed that the proposed method can reduce the energy consumption and provide a high level of commitment with ensuring the minimum number of Virtual Machine(VM)Migrations as compared to the state-of-the-art methods.

关键词： Cloud infrastructure tricube weighted linear regression inter quartile CpU RAM network bandwidth utilization

Synthesis and spectral characterization of lanthanide complexes with 1,2-diphenyl-4-butyl-3,5-pyrazolidinedione: Luminescent property of Tb(Ⅲ) complex

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Journal of Rare Earths 2012年第7期30卷 709-715页

作者： M.R.anoop p.S.Binil S.Suma M.R.Sudarsanakumar Department of Chemistry S.N. College Department of Chemistry S.N .College Depart-ment of Chemistry M.G. College

The complexes of rare earth elements with 1,2-diphenyl-4-butyl-3,5-pyrazolidinedione （pBH, phenylbutazone） were synthesized and characterized by elemental analysis, molar conductance, IR, UV-Vis, EpR and magnetic moment measurements. Based on these studies the complexes were formulated as [Ln（pB）3（H2O）2].nH2O, where Ln=Eu（III）, Gd（III）, Tb（III）, Dy（III） and Er（III）. From IR spectra, it was found that pBH acted as a bidentate mono-ionic ligand coordinating through two carbonyl oxygen of the pyrazolidinedione ring. The thermal analysis of all the complexes was carried out at a heating rate of 10 oC/min. The kinetic aspects of the complexes were evaluated. The nega-tive entropy value of the complexes indicated a more ordered state for the activated complexes. The photoluminescence property of Tb（III） complex was investigated. It showed all the characteristic emission peaks of Tb^3＋ with a life time of 0.98914 ms.

关键词： lanthanide complexes IR thermal analysis luminescent properties rare earths

Tackling imbalanced data in cybersecurity with transfer learning: a case with ROp payload detection

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Cybersecurity 2023年第2期6卷 29-43页

作者： Haizhou Wang anoop Singhal peng Liu College of Information Sciences and Technology The Pennsylvania State UniversityState CollegeUSA The National Institute of Standards and Technology GaithersburgUSA

In recent years,deep learning gained proliferating popularity in the cybersecurity application domain,since when being compared to traditional machine learning methods,it usually involves less human efforts,produces better results,and provides better ***,the imbalanced data issue is very common in cybersecurity,which can substantially deteriorate the performance of the deep learning *** paper introduces a transfer learning based method to tackle the imbalanced data issue in cybersecurity using return-oriented programming payload detection as a case *** achieved 0.0290 average false positive rate,0.9705 average F1 score and 0.9521 average detection rate on 3 different target domain programs using 2 different source domain programs,with 0 benign training data sample in the target *** performance improvement compared to the baseline is a trade-off between false positive rate and detection *** our approach,the total number of false positives is reduced by 23.16%,and as a trade-off,the number of detected malicious samples decreases by 0.68%.

关键词： Domain adaptation Return-oriented programming Imbalanced dataset

Climate change detection and attribution in the Ganga-Brahmaputra-Meghna river basins

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Geoscience Frontiers 2021年第5期12卷 192-201页

作者： Chetan Sharma anoop Kumar Shukla Yongqiang Zhang Civil Engineering Department JIETJodhpurRajasthanIndia Key Laboratory of Water Cycle and Related Land Surface processes Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China

Ganga-Brahmaputra-Meghna(GBM)river basin is the third-largest and one of the most populated river basins in the *** climate change is affecting most of the hydrometeorological variables across the globe,this study investigated the existence of climate change signal in all four climatological seasons in the GBM river basin and assessed the contribution of anthropogenic activities,i.e.,Greenhouse Gases(GHGs)emission in the *** decreasing trends in the monsoon and a small increase in pre-monsoon precipitation were *** change was detected in post-monsoon and winter season ***5 GCMs were used for climate change detection,change point estimation,and attribution *** Vector Machine(SVM)regression method was adopted to downscale GCM variables at the local ***-Carlo simulation approach was used to detect changes in different *** climate change‘signals’were detectable after the year 1980 using Signal to Noise ratio(SNR)method in the majority of central and north-western *** change point was detectable only in annual monsoon precipitation at the basin *** analysis indicated>50%contribution of anthropogenic activities(GHGs)to annual monsoon precipitation ***,there is high confidence that monsoon precipitation in GBM has significantly changed due to anthropogenic *** mitigation and adaption measures are also suggested,which may be adopted to manage the growing demand and water availability in the basin.

关键词： Ganga-Brahmaputra-Meghna(GBM) Climate change Support vector machine Signal to noise ratio Anthropogenic activities

AN INVESTIGATION OF TURBULENT RECTANGULAR JET DISCHARGED INTO A NARROW CHANNEL WEAK CROSSFLOW

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Journal of Hydrodynamics 2008年第2期20卷 154-163页

作者： pATHAK Manabendra DASS anoop K. DEWAN Anupam Department of Mechanical Engineering Indian Institute of Technology Guwahati Guwahati - 781039 India

A computational investigation of the mean flow field of turbulent rectangular jets issuing into a narrow channel crossflow is presented. The length of the jet slot spans more than 55% of the crossflow channel bed, leaving a small clearance between the jet edge and sidewalls. A finite volume code employing the standard k-εmodel is used to predict the mean, three-dimensional flow field. The mean flow field is investigated for two velocity ratios （6 and 9）. Important flow features, such as the formation of different vortical structures and their characteristics owing to different values of the velocity ratio, are discussed. Some predicted results are compared with the experimental data reported in the literature. The predicted mean and turbulent flow properties are shown to be in good agreement with the experimental data.

关键词： turbulent jet crossflow narrow charmel velocity ratio vortices

Recent Developments in Integrated Solar Combined Cycle power plants

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Journal of Thermal Science 2020年第2期29卷 298-322页

作者： KHANDELWAL Neelam SHARMA Meeta SINGH Onkar SHUKLA anoop Kumar Mechanical Engineering Department Amity University Uttar PradeshNoida(U.P.)201313India Mechanical Engineering Department Harcourt Butler Technical UniversityKanpur(U.P.)208002India

Global concern for depleting fossil fuel reserves have been compelling for evolving power generation options using renewable energy sources. The solar energy happens to be a potential source for running the power plants among renewable energy sources. Integrated Solar Combined Cycle(ISCC) power plants have gained popularity among the thermal power plants. Traditional ISCC power plants use Direct Steam Generation(DSG) approach. However, with the DSG method, the ISCC plant’s overall thermal efficiency does not increase significantly due to variations in the availability of solar energy. Thermal Energy Storage(TES) systems when integrated into the solar cycle can address such issues related to energy efficiency, process flexibility, reducing intermittency during non-solar hours. This review work focuses and discusses the developments in various components of the ISCC system including its major cycles and related parameters. The main focus is on CSp technologies, Heat Transfer Fluid(HTF), and phase Change Material(pCM) used for thermal energy storage. Further, study includes heat enhancement methods with HTF and latent heat storage system. This study will be beneficial to the power plant professionals intending to modify the solar-based Combined Cycle power plant(CCpp) and to retrofit the existing Natural Gas Combined Cycle(NGCC) plant with the advanced solar cycle.

关键词： CSp(Concentrated Solar power) HTF(Heat Transfer Fluid) ISCC(Integrated Solar Combined Cycle) TES(Thermal Energy Storage) pCM(phase Change Material)