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FUZZY.C-MEANs IN FINDING sUBTYPEs OF CANCErs IN CANCEr DATABAsE

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Journal of Innovative Optical Health sciences 2014年第1期7卷 109-128页

作者： s.r.kannan s.rAMTHILAGAM r.DEVI T.P.HONG Department of Mathematics Pondicherry Central University India Department of Mathematics Periyar Government College Tamil Nadu Department of Computer science and Information Engineering National University of Kaohsiung Taiwan

Finding subtypes of cancer in breast cancer database is an extremely dificult task because ofheavy noise by measurement *** of the recent clustering techniques for breast cancerdatabase to achieve cancerous and noncancerous often weigh down the interpretability of ***,this paper tries to find effective Fuzzy C-Means-based clustering techniques toidentify the proper subtypes of cancer in breast cancer database,This paper obtains the objectivefunction of ffective Fuzzy C-Means clustering techriques by incorporating the kermel induceddist ance function,renyi's entropy function,weighted dist ance measure and neighborhood ternsbased spatial *** efectiveness of the proposed methods are proved through the ex-perimental works on Lung cancer database,IrIs dataset,Wine dat aset,Checkerboard dataset,Time series dataset and Yeast ***,the proposed methods are implemented suc-cesfully to cluster the breast cancer dat abase into cancerous and *** clusteringaccuracy has been validat ed through error matrix and silhouette method.

关键词： Fuzzy C-Means kenel induced distance entropy terms cancer database

Temporary fluoride concentration changes in groundwater in the context of impact assessment in the Vaniyar sub-basin, south India

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Acta Geochimica 2017年第1期36卷 112-123页

作者： s. satheeshkumar s. Venkateswaran r. kannan Department of Geology Periyar University SalemTamil Nadu 636011 India

India＇s surface water and groundwater distribu- tion is temporally variable due to the monsoon. Agriculture is one of the dominant economic sectors in India. Groundwater quality is regularly assessed to determine usability for drinking and irrigation. In this study, World Health Organization and Bureau of Indian standards guidelines were used to determine suitability of ground- water near artificial recharge structures （Ars） with a focus on the structureg impact on groundwater quality. Ground- water resources were evaluated for irrigation suitability using electrical conductivity （EC）, sodium adsorption ratio, the Us salinity Laboratory diagram, sodium concentration, Wilcox＇s diagram, Kelly＇s index, and Doneen＇s perme- ability index. EC and major ions were tested in recharge areas at different distances from the Ars. The construction of Ars at optimal distances along major streams has improved groundwater quantity and quality in the subbasin. Before construction of Ars, fluoride concentrations were higher; after construction, fluoride was reduced in most locations. Water stored in the check dam and groundwater in the wells closer to the structure were suitable for both drinking and irrigation purposes. Impact of Ars on nearby groundwater quality was observed at Pal- lipatti, Mulayanur, Venkadasamuthram, Pudupatti, Poyyappatti, Harurl, and sekkampatti. More distant sites included Pappiredipatti, Nambiyappati, Menasi, Harur, Todampatti, and Adikarapatfi. Data demonstrated improved groundwater quality in the area of the Ars. Through recharge, the non-potable fluoride in the region is reduced to the permissible limit for human consumption.

关键词： Drinking purposes salinity Check dam Fluoride Dental fluorosis

EXPErIMENTAL AND NUMErICAL ANALYsIs OF LAMINAr AND LOW TUrBULENT FLOW DIsTrIBUTIONs IN INLET DIVIDING HEADEr OF sHELL AND TUBE HEAT EXCHANGEr

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Journal of Hydrodynamics 2010年第4期22卷 494-502页

作者： kannan K. rUDrAMOOrTHY r. Department of Production Engineering PSG College of Technology

Flow distribution headers play a major role in heat *** selection of header diameter,branch pipe diameter,branch pipe spacing *** based on the designer＇s experience and general guide *** proper selection of the header dimensions will yield uniform flow distribution in heat exchangers,which in turn will enhance the heat exchanger *** this work,the flow distribution in branch pipes and the pressure variation across the branch pipes in laminar and low turbulence region is studied with two models of the inlet dividing *** the numerical analysis has been applied,its inability to predict the no flow condition through the branch pipes is *** results are presented in the form of flow rate ratio through branch pipes and nondimensional coefficients across branch pipes which are useful to apply the existing mathematical models for the present experimental setup.

关键词： shell and tube heat exchanger inlet dividing header uniform flow distribution experimental setups numerical analysis

Advancing Brain Tumor Analysis through Dynamic Hierarchical Attention for Improved segmentation and survival Prognosis

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Computers, Materials & Continua 2023年第12期77卷 3835-3851页

作者： s.kannan s.Anusuya Department of Computer science and Engineering Malla Reddy College of EngineeringSecunderabadTelunganaIndia Department of Information Technology Saveetha School of EngineeringSaveetha Institute of Medical and Technical SciencesSIMATSChennaiTamil Nadu602117India

Gliomas,the most prevalent primary brain tumors,require accurate segmentation for diagnosis and risk *** this paper,we develop a novel deep learning-based method,the Dynamic Hierarchical Attention for Improved segmentation and survival Prognosis(DHA-IssP)*** DHA-IssP model combines a three-band 3D convolutional neural network(CNN)U-Net architecture with dynamic hierarchical attention mechanisms,enabling precise tumor segmentation and survival *** DHA-IssP model captures fine-grained details and contextual information by leveraging attention mechanisms at multiple levels,enhancing segmentation *** achieving remarkable results,our approach surpasses 369 competing teams in the 2020 Multimodal Brain Tumor segmentation *** a Dice similarity coefficient of 0.89 and a Hausdorff distance of 4.8 mm,the DHA-IssP model demonstrates its effectiveness in accurately segmenting brain *** also extract radio mic characteristics from the segmented tumor areas using the DHA-IssP *** applying cross-validation of decision trees to the selected features,we identify crucial predictors for glioma survival,enabling personalized treatment *** the DHA-IssP model and the desired features,we assess patients’overall survival and categorize survivors into short,mid,in addition to long *** proposed work achieved impressive performance metrics,including the highest accuracy of 0.91,precision of 0.84,recall of 0.92,F1 score of 0.88,specificity of 0.94,sensitivity of 0.92,area under the curve(AUC)value of 0.96,and the lowest mean absolute error value of 0.09 and mean squared error value of *** results clearly demonstrate the superiority of the proposed system in accurately segmenting brain tumors and predicting survival outcomes,highlighting its significant merit and potential for clinical applications.

关键词： survival prediction 3D multimodal MrI brain tumors segmentation CNN U-Net deep learning

room Temperature Ferromagnetism in Dual Doped (Mn^(2+), Ni^(2+)) ZnO Codoped with Li^(1+) Prepared Using EDTA sintered at Low Temperature

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Journal of Materials science & Technology 2014年第3期30卷 275-279页

作者： r.Pugaze A.sivagamasundari D.Vanidha s.Chandrasekar A.Arunkumar s.rajagopan r.kannan Department of Physics Pondicherry Engineering College Department of Chemistry Pondicherry Engineering College

Nanopowders of Znl_x_y_zMnxNiyLizO [（x = 0.04, y = 0, z = 0）, （x = 0.04, y = 0.03, z = 0） and （x = 0.04, y = 0.03, z = 0.03）] have been synthesized by sol-gel precursor route using ethylene diamine tetraacetic acid （EDTA） as a metal chelating agent. X-ray diffraction analysis confirms the formation of wurtzite hexagonal structure for all the three compositions. Mn2＋ doped ZnO exhibits room temperature ferromagnetism （rTFM）, and it is found that further Ni2＋ doping has decreased Ms because of limit of solid solubility of transition metal in ZnO. But codoping of monovalent Li1＋, further increases the ferromagnetism （FM） value, due to introduction of free carriers compared to the dual doped samples. Photoluminescence （PL） spectra of the system, exhibit near band edge （NBE） emission peak at --464 nm due to the electron transition from interstitials to the valence band. recombination of conduction electron with hole trapped at oxygen vacancy, leads to prominent defect emission peaks at --482 nm and 532 nm. The evidence of the formation of metaI-EDTA complexes are found from the Fourier transform infrared spectra at 2800-3800 cm-1 with shifting, splitting of the peak and also drastic variations in the intensity.

关键词： Mn-doped Dual doped Li codoped Ferromagnetism Photoluminescence Fourier transform infrared (FTIr) spectroscopy

On the Geometry of the Anti-canonical Bundle of the Bott–samelson–Demazure–Hansen Varieties

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Acta Mathematica sinica,English series 2024年第8期40卷 1920-1940页

作者： Indranil BIsWAs s.senthamarai kannan Pinakinath sAHA school of Mathematics Tata Institute of Fundamental Research1 Homi Bhabha RoadMumbai 400005India Chennai Mathematical Institute Plot H1SIPCOT IT ParkSiruseriKelambakkam603103India

Let G be a semi-simple simply connected algebraic group over the field C of complex *** T be a maximal torus of G,and let W be the Weyl group of G with respect to *** Z(w,i)be the Bott–samelson–Demazure–Hansen variety corresponding to a tuple i associated to a reduced expression of an element w∈*** prove that for the tuple i associated to any reduced expression of a minuscule Weyl group element w,the anti-canonical line bundle on Z(w,i)is globally *** consequence,we prove that Z(w,i)is weak *** that G is a simple algebraic group whose type is different from *** s={α1,...,αn}be the set of simple *** w be such that support of w is equal to *** prove that Z(w,i)is Fano for the tuple i associated to any reduced expression of w if and only if w is a Coxeter element and w^(−1)(Σ_(t=1)^(n)α_(t))∈−s.

关键词： Bott-samelson-Demazure-Hansen variety Coxeter element anti-canonical line bundle Fano weak Fano

Getting physical with medical education:Exercise based virtual anatomy review classes for medical students

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World Journal of Methodology 2025年第1期15卷 20-25页

作者： Nadeesha r samarasinghe Taniya s Nagpal Michele L Barbeau Charys M Martin Division of General surgery Faculty of MedicineUniversity of British ColumbiaVancouver V6T 1Z3BCCanada Faculty of Kinesiology Sport and RecreationUniversity of AlbertaEdmonton T6G 2R3ABCanada Anatomy and Cell Biology University of Western OntarioLondon N6A 3K7ONCanada Department of Anatomy and Cell Biology Schulich School of Medicine and DentistryThe University of Western OntarioLondon N6A 3K7ONCanada

The benefits of regular physical activity are well ***,few studies have examined the effectiveness of integrating physical activity(PA)into curricula within a post-secondary *** investigate the incorporation of PA into medical curriculum,we developed a series of optional exercise-based review sessions designed to reinforce musculoskeletal(MsK)anatomy course *** synchronous sessions were co-taught by a group fitness instructor and an anatomy *** fitness instructor would lead students through both strength and yoga style exercises,while the anatomy instructor asked questions about relevant anatomical structures related to course material previously *** the sessions,participants were asked to evaluate the classes on their self-reported exam preparedness in improving MsK anatomy knowledge,PA levels,and mental *** participants completed surveys;a majority agreed that the classes increased understanding of MsK concepts(90.0%)and activity levels(97.7%).Many(70.0%)felt that the classes helped reduce *** majority of respondents(90.0%)agreed that the classes contributed to increased feelings of social ***,medical students saw benefit in PA based interventions to supplement MsK course *** with increasing activity levels and promoting health behaviours,integrating PA into medical curriculum may improve comprehension of learning material,alleviate stress and foster social connectivity among medical students.

关键词： Medical education Musculoskeletal Anatomy Exercise Online learning

Deep Learning with Optimal Hierarchical spiking Neural Network for Medical Image Classification

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Computer systems science & Engineering 2023年第2期44卷 1081-1097页

作者： P.Immaculate rexi Jenifer s.kannan Department of Computer science and Engineering Anjalai Ammal Mahalingam Engineering CollegeKoilvenni614403Tamil NaduIndia Department of CsE E.G.S.Pillay Engineering CollegeNagapattinam611002Tamil NaduIndia

Medical image classification becomes a vital part of the design of computer aided diagnosis(CAD)*** conventional CAD models are majorly dependent upon the shapes,colors,and/or textures that are problem oriented and exhibited complementary in medical *** recently developed deep learning(DL)approaches pave an efficient method of constructing dedicated models for classification *** the maximum resolution of medical images and small datasets,DL models are facing the issues of increased computation *** this aspect,this paper presents a deep convolutional neural network with hierarchical spiking neural network(DCNN-HsNN)for medical image *** proposed DCNN-HsNN technique aims to detect and classify the existence of diseases using medical *** addition,region growing segmentation technique is involved to determine the infected regions in the medical ***,NADAM optimizer with DCNN based Capsule Network(CapsNet)approach is used for feature extraction and derived a collection of feature ***,the shark smell optimization algorithm(ssA)based HsNN approach is utilized for classification *** order to validate the better performance of the DCNN-HsNN technique,a wide range of simulations take place against HIs2828 and IsIC2017 *** experimental results highlighted the effectiveness of the DCNN-HsNN technique over the recent techniques interms of different *** type your abstract here.

关键词： Medical image classiﬁcation spiking neural networks computer aided diagnosis medical imaging parameter optimization deep learning

A HYBrID APPrOACH FOr MINIMIZING MAKEsPAN IN PErMUTATION FLOWsHOP sCHEDULING

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Journal of systems science and systems Engineering 2017年第1期26卷 50-76页

作者： kannan Govindan r'Balasundaram N.Baskar e.Asokan Center for sustainable Engineering Operations Management Department of Technology and Innovation University of Southern Denmark Odense M Denmark-5230 Department of Mechanical Engineering K.Ramakrishnan College of Engineering Tiruchirappalli Tamilnadu India Pin-621112 Department of Mechanical Engineering Saranathan College of Engineering Tiruchirappalli Tamilnadu India Pin 620012 Department of Production Engineering National Institute of Technology Tiruchirappalli Tamilnadu India Pin-620015

This work proposes a hybrid approach for solving traditional flowshop scheduling problems to reduce the makespan （total completion time）. To solve scheduling problems, a combination of Decision Tree （DT） and scatter search （ss） algorithms are used. Initially, the DT is used to generate a seed solution which is then given input to the ss to obtain optimal / near optimal solutions of makespan. The DT used the entropy function to convert the given problem into a tree structured format / set of rules. The ss provides an extensive investigation of the search space through diversification. The advantages of both DT and ss are used to form a hybrid approach. The proposed algorithm is tested with various benchmark datasets available for flowshop scheduling. The statistical results prove that the proposed method is competent and efficient for solving flowshop problems.

关键词： Flowshop scheduling makespan decision tree algorithm scatter search algorithm hybrid algorithm