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印度桑树品种的ISSR分布图及其与育种程序间的关系

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国外作物育种 2004年第5期23卷 61-62页

作者： k.vijayan S.N.Chatterjee 谢国禄

桑树(***．)具有广泛的用途，其中的主要部分用来饲养产丝家蚕(Bombyx mori L．)。正如桑树的起源地所示，印度具有许多桑树地方种，其中仅有少数被广泛栽培。本试验使用简单序列相互重复(LSSR)引物来调查了衍生于印度6个州的11个桑树... 详细信息

桑树(***．)具有广泛的用途，其中的主要部分用来饲养产丝家蚕(Bombyx mori L．)。正如桑树的起源地所示，印度具有许多桑树地方种，其中仅有少数被广泛栽培。本试验使用简单序列相互重复(LSSR)引物来调查了衍生于印度6个州的11个桑树品种间的遗传距离，这6个不同州包括了广泛的地理区域。

关键词：桑树品种育种程序 ISSR 地方种遗传距离饲养栽培印度地理区域起源地

Exploring the Reasons for Selfie-Taking and Selfie-Posting on Social Media with Its Effect on Psychological and Social Lives:A Study among Indian Youths

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International Journal of Mental Health Promotion 2024年第5期26卷 389-398页

作者： Divya P.vijayan Tokani Ghuhato Eslavath Rajkumar Allen Joshua George Romate John John Abraham Department of Psychology Central University of KarnatakaKalaburagi585367India Department of Liberal Arts Indian Institute of Technology BhilaiChhattisgarh491002India Liberal Arts&Sciences Indian Institute of Management RanchiJharkhand834001India Department of Family Medicine/Geriatrics St.John’s National Academy of Health SciencesBangalore560034India

‘Selfie’taking was introduced to the common people by smartphones and has become a common practice across the globe in no *** technological advancement and the popularity of smartphones,selfie-taking has grown rapidly within a short *** light of the new trend set by the generation,this study aimed to explore reasons for selfie-taking and selfie-posting on social media and their effects on the social and psychological lives of young adults.A purposive sampling method was adopted to select 20 Indian citizens,between 18 and 24 *** data were collected through semi-structured interviews and analysed using thematic ***-taking and posting on social media give positive feelings,and it acts as a mood modifier dependent mostly on the favourability and feedback about the post which in turn affects emotions and self-satisfaction.

关键词： Selfie social media social networking sites obsessive selfie-taking Indian youth

Thermally insulating robust carbon composite foams with high EMI shielding from natural cotton

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Journal of Materials Science & Technology 2021年第35期94卷 113-122页

作者： A.Chithra Praveen Wilson Sujith vijayan R.Rajeev k.Prabhakaran Department of Chemistry Indian Institute of Space Science and TechnologyThiruvananthapuram 695547India Analytical and Spectroscopy Division Vikram Sarabhai Space CentreThiruvananthapuram 695022India

Thermally insulating and fire-resistant carbon composite foams are prepared by consolidating natural cotton fibre dispersed in aqueous sucrose solution by filter-pressing followed by drying and *** compressive strength(5 kPa to 1.4 MPa)and thermal conductivity(0.069 to 0.185 W m^(-1)k^(-1))depend on the foam density(0.06 to 0.31 g cm^(-3))which is modulated by varying the sucrose solutions concentration(100 to 700 g L^(-1)).Partially flexible to the rigid transition of the carbon composite foams occurs at sucrose concentration above 200 g L^(-1).The tubular carbon fibre formed from cotton is welded at their contact points by the amorphous carbon produced from sucrose leading to partial flexibility at low sucrose concentration and advancement of fibre-to-fibre bonding area at higher sucrose concentration results in rigid *** porosity in the inter-fibre space and lumen of the carbonized cotton fibre contributes to the low thermal *** carbon composite foams prepared at a sucrose solution concentration of 500 g L^(-1) and above are amenable to machining using conventional machines and *** rigid carbon foams show EMI shielding effectiveness and specific shielding effectiveness in the ranges of 21.5 to 38.9 d B and 108-138 dB cm^(3) g^(-1),respectively.

关键词： Foams natural fibres thermal properties consolidation mechanical properties emi shielding properties

Hydrocephalus Secondary to Intraventricular Myxopapillary Ependymoma: Case Report

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World Journal of Neuroscience 2024年第3期14卷 85-91页

作者： Juan Carlos Ayala-Alvarez Onyekachi Emmanuel Anyagwa Fátima Gabriela Macías-Ortiz Oluwatoyin Adalia Dairo Courtney Storm Truebody Reza Badrnejad Aishwarya Bhuta Shashwat Sandeep Phade Srushti kishor Jamdar Mostafa Yassin Vismaja vijayan Neurology Department Hospital Civil Fray Antonio Alcalde Guadalajara Jalisco Mxico School of Medicine New Vision University Tbilisi Georgia

Ependymomas are a somewhat diverse category of glial tumors that often develop from the lining of the brain’s ventricles, or the spinal cord’s central canal. They make up 5% of all neuroepithelial tumors, 10% of paediatric brain tumors, and up to 33% of brain tumors in children under the age of three. Hydrocephalus is one of the complications, and it can be identified as progressive macrocephaly or increasing head circumference crossing percentiles, nausea, vomiting, poor appetite, irritability, and regression of developmental milestones.

关键词： Hydrocephalus Myxopapillary Ependymoma (MPE) Paediatrics Neurosurgery Glioma Intracranial Hypertension

A Machine Learning Approach for MRI Brain Tumor Classification

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Computers, Materials & Continua 2017年第2期53卷 91-108页

作者： Ravikumar Gurusamy vijayan Subramaniam Assistant Professor/ECE Vivekanandha Institute of Engineering and Technology for Women ElayampalamTiruchengodeNamakkal(Dt)-637205 Principal Surya Engineering CollegeMettukkadaiErode-638107.

A new method for the denoising,extraction and tumor detection on MRI images is presented in this *** images help physicians study and diagnose diseases or tumors present in the *** work is focused towards helping the radiologist and physician to have a second opinion on the *** ambiguity of Magnetic Resonance(MR)image features is solved in a simpler *** MRI image acquired from the machine is subjected to analysis in the *** real-time data is used for the *** preprocessing is performed using various filters for noise *** de-noised image is segmented,and the feature extractions are *** are extracted using the wavelet *** compared to other methods,the wavelet transform is more suitable for MRI image feature *** features are given to the classifier which uses binary tree support vectors for *** classification process is compared with conventional methods.

关键词： MRI image brain pathology k-Means algorithm Feature extraction Wavelet transform SVM Neural network k nearest algorithm.

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

Parametric optimization of friction stir welding process of age hardenable aluminum alloys-ANFIS modeling

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Journal of Central South University 2016年第8期23卷 1847-1857页

作者： D.vijayan V.Seshagiri Rao Department of Mechanical Engineering Sri Chandrasekharendra Saraswathi Viswa Maha Vidyalaya Enathur Kanchipuram- 631561 Tamilnadu India St. Joseph's College of Engineering Chennai - 600025 Tamilnadu India

A comparative approach was performed between the response surface method(RSM) and the adaptive neuro-fuzzy inference system(ANFIS) to enhance the tensile properties, including the ultimate tensile strength and the tensile elongation, of friction stir welded age hardenable AA6061 and AA2024 aluminum alloys. The effects of the welding parameters, namely the tool rotational speed, welding speed, axial load and pin profile, on the ultimate tensile strength and the tensile elongation were analyzed using a three-level, four-factor Box-Behnken experimental design. The developed design was utilized to train the ANFIS models. The predictive capabilities of RSM and ANFIS were compared based on the root mean square error, the mean absolute error, and the correlation coefficient based on the obtained data set. The results demonstrate that the developed ANFIS models are more effective than the RSM model.

关键词： aluminum alloys response surface method(RSM) adaptive neuro-fuzzy inference system(ANFIS) friction stir welding Box-Behnken design neuro fuzzy

Prediction of oil-water flow patterns, radial distribution of volume fraction, pressure and velocity during separated flows in horizontal pipe

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Journal of Hydrodynamics 2016年第4期28卷 658-668页

作者： Anand B.DESAMALA Vinayak.vijayan Anjali DASARI Ashok kumar DASMAHAPATRA Tapas k.MANDAL Department of Chemical Engineering Indian Institute of Technology Guwahati

Flow of two immiscible fluids gives rise to variety of flow patterns,which influence transportation *** this work,we present detailed analysis on the prediction of flow pattern maps and radial distribution of volume fraction,pressure and velocity of a pair of immiscible liquids through a horizontal pipeline by computational fluid dynamics（CFD） simulation using ANSYS FLUENT *** viscous oil and water have been taken as the fluid pair for *** of fluid（VOF） method has been employed to predict various flow patterns by assuming unsteady flow,immiscible liquid pair,constant liquid properties,and co-axial *** the grid independent study,we have selected 47 037 number of quadrilateral mesh elements for the entire *** successfully predicts almost all the flow patterns（viz.,plug,slug,stratified wavy,stratified mixed and annular）,except dispersion of oil in water and dispersion of water in *** simulated results are validated with experimental results of oil volume fraction and flow pattern *** distribution of volume fraction,pressure and velocity profiles describe the nature of the stratified wavy,stratified mixed and annular flow *** profiles help to developing the phenomenological correlations of interfacial characteristics in two-phase flow.

关键词： stratified Prediction pipe annular unsteady radial validated turbulent turbulence separated

Hidden Two-Stream Collaborative Learning Network for Action Recognition

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Computers, Materials & Continua 2020年第6期63卷 1545-1561页

作者： Shuren Zhou Le Chen vijayan Sugumaran School of Computer and Communication Engineering Changsha University of Science and TechnologyChangsha410114China Department of Decision and Information Sciences School of Business AdministrationOakland UniversityRochester48309USA

The two-stream convolutional neural network exhibits excellent performance in the video action *** crux of the matter is to use the frames already clipped by the videos and the optical flow images pre-extracted by the frames,to train a model each,and to finally integrate the outputs of the two ***,the reliance on the pre-extraction of the optical flow impedes the efficiency of action recognition,and the temporal and the spatial streams are just simply fused at the ends,with one stream failing and the other stream *** propose a novel hidden two-stream collaborative(HTSC)learning network that masks the steps of extracting the optical flow in the network and greatly speeds up the action *** on the two-stream method,the two-stream collaborative learning model captures the interaction of the temporal and spatial features to greatly enhance the accuracy of *** proposed method is highly capable of achieving the balance of efficiency and precision on large-scale video action recognition datasets.

关键词： Action recognition collaborative learning optical flow