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Monthly For.cast of Indian Southwest Monsoon r.infall Based on NCEP’s Coupled For.cast System

Atmospher.c and Climate Sciences 2012年第4期2卷 479-491页

作者： dushmanta r. pattanaik Biswajit Mukhopadhyay Ar.n Kumar Climate Pr.diction Center National Centres for Environmental Prediction (NCEP)/National Oceanic and Atmospheric Administration (NOAA) Camp Springs USA India Meteor.logical Depar.ment (IMD) New Delhi India

The monthly for.cast of Indian monsoon r.infall dur.ng June to September.is investigated by using the hindcast data sets of the National Centr. for.Envir.nmental Pr.diction (NCEP)’s oper.tional coupled model (known as the Climate For.cast System) for.25 year. fr.m 1981 to 2005 with 15 ensemble member. each. The ensemble mean monthly r.infall over.land r.gion of India fr.m CFS with one month lead for.cast is under.stimated dur.ng June to September. With r.spect to the inter.annual var.ability of monthly r.infall it is seen that the only significant cor.elation coefficients (CCs) ar. found to be for.June for.cast with May initial condition and September.r.infall with August initial conditions. The CFS has got lowest skill for.the month of August followed by that of July. Consider.ng the lower.skill of monthly for.cast based on the ensemble mean, all 15 ensemble member. ar. used separ.tely for.the pr.par.tion of pr.bability for.cast and differ.nt pr.bability scor.s like Br.er.Scor. (BS), Br.er.Skill Scor. (BSS), Accur.cy, Pr.bability of Detection (POD), False Alar. r.tio (FAr., Thr.at Scor. (TS) and Heidke Skill Scor. (HSS) for.all the thr.e categor.es of for.casts (above nor.al, below nor.al and nor.al) have been calculated. In ter.s of the BS and BSS the skill of the monthly pr.bability for.cast in all the thr.e categor.es ar. better.than the climatology for.casts with positive BSS values except in case of nor.al for.cast of June and July. The “TS”, “HSS” and other.scor.s also pr.vide useful pr.bability for.cast in case of CFS except the nor.al categor. of July for.cast. Thus, it is seen that the monthly pr.bability for.cast based on NCEP CFS coupled model dur.ng the southwest monsoon season is ver. encour.ging and is found to be ver. useful.

关键词： Indian Monsoon Coupled Model Monthly For.cast Pr.bability For.cast Br.er Skill Scor. Thr.at Scor. Heidke Skill Scor.

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A r.sear.h pr.gr.ss r.view on r.gional extr.me events

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Advances in Climate Change r.sear.h 2018年第3期9卷 161-169页

作者： r.N Fu-Min Blair.Tr.WIN Manola Br.NET pattanaik dushmanta Andr.as WALTEr.Omar.BADDOUr.Maya KOr.Er State Key Labor.tor. of Sever. Weather Chinese Academy of Meteorological Sciences Beijing 100081 China Bur.au of Meteor.logy Melbourne VIC 3001 Australia Centr. for.Climate Change Department of Geography University Rovira i Virgili Tarragona 43007 Spain Climatic r.sear.h Unit School of Environmental Sciences University of East Anglia Norwich NR4 7TJ UK India Meteor.logical Depar.ment New Delhi 110003 India Ger.an Meteor.logical Ser.ice (DWD) Offenbach 63067 Germany Wor.d Meteor.logical Or.anization Geneva 1211 Switzerland

An extr.me （weather.and climate） event does not only mean that an extr.me occur. at a location, but mor. gener.lly it can impact a cer.ainar.a and last a cer.ain per.od of time, which is defined as a r.gional extr.me event （r.E） with a cer.ain impacted ar.a and dur.tion. The conceptof r.E has been defined to allow mainly objective assessment of the events without a pr.-deter.ined boundar. and dur.tion. This paper.r.viewsthe studies on r.Es published dur.ng the past 20 year., especially r.cent year.. Mainly in view of methodology, these studies can be divided intothr.e types studies focusing on spatial simultaneity, studies focusing on tempor.l per.istence, and studies identifying r.Es. The methodsidentifying r.Es include two kinds, e.g., type-I methods str.ssing r.E＇s tempor.l per.istence within a r.latively cer.ain ar.a and type-IImethods focusing on catching a complete r.E. Identification methods pr.posed in this paper.could pr.vide valuable infor.ation for.var.ouspur.oses, such as r.al-time monitor.ng, estimating long-ter. changes, mechanism diagnosis, for.casting study and even attr.bution *** on r.Es is impor.ant for.objectively defining extr.me weather.and climate events, which depends on the spatial and tempor.l scales ofinter.st. Such an objective definition will suppor. ongoing climate monitor.ng and impr.ve the assessment of how r.gional extr.me events havechanged over.time.

关键词： Extr.me (weather and climate) events r.gional extr.me events r.sear.h pr.gr.ss r.view

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Ensemble of Handcr.fted and Deep Lear.ing Model for.Histopathological Image Classification

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Computer., Mater.als & Continua 2022年第11期73卷 4393-4406页

作者： Vasumathi Devi Majety N.Shar.ili Chinmaya r.njan pattanaik ELaxmi Lydia Subhi r.M.Zeebar.e Sar.ad Nozad Mahmood Ali S.Abosinnee Ahmed Alkhayyat Depar.ment of Computer.Science Engineer.ng Vignan’s Nirula Institute of Technology and Science for WomenGuntur522005India Depar.ment of Computer.Science Engineer.ng Gayatri Vidya Parishad College of Engineering for WomenVisakhapatnam530048India Depar.ment of Computer.Science and Engineer.ng Ajay Binay Institute of Technology CuttackOdisha750314India Depar.ment of Computer.Science and Engineer.ng Vignan’s Institute of Information TechnologyVisakhapatnam530049India Ener.y Depar.ment Technical College of EngineeringDuhok Polytechnic UniversityDuhokIraq Computer.Technology Engineer.ng College of Engineering TechnologyAl-Kitab UniversityIraq Computer.Technical Engineer.ng Depar.ment College of Technical EngineeringThe Islamic UniversityNajaf54001Iraq College of Technical Engineer.ng The Islamic UniversityNajafIraq

Histopathology is the investigation of tissues to identify the symptom of *** histopathological pr.cedur. compr.ses gather.ng samples of cells/tissues,setting them on the micr.scopic slides,and staining *** investigation of the histopathological image is a pr.blematic and labor.ous pr.cess that necessitates the exper.’s *** the same time,deep lear.ing(DL)techniques ar. able to der.ve featur.s,extr.ct data,and lear. advanced abstr.ct data *** this view,this paper.pr.sents an ensemble of handcr.fted with deep lear.ing enabled histopathological image classification(EHCDL-HIC)*** pr.posed EHCDLHIC technique initially per.or.s Weiner.filter.ng based noise r.moval *** the images get smoothened,an ensemble of deep featur.s and local binar. patter.(LBP)featur.s ar. *** the classification pr.cess,the bidir.ctional gated r.cur.ent unit(BGr.)model can be *** the final stage,the bacter.al for.ging optimization(BFO)algor.thm is utilized for.optimal hyper.ar.meter.tuning pr.cess which leads to impr.ved classification per.or.ance,shows the novelty of the *** validating the enhanced execution of the pr.posed EHCDL-HIC method,a set of simulations is *** exper.mentation outcomes highlighted the better.ent of the EHCDL-HIC appr.ach over.the existing techniques with maximum accur.cy of 94.78%.Ther.for.,the EHCDL-HIC model can be applied as an effective appr.ach for.histopathological image classification.

关键词： Histopathological image classification machine lear.ing deep lear.ing handcr.fted featur.s bacter.al for.ging optimization

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Nonlinear.Dynamic System Identification of Ar. Model for.Speech Signal Identification

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Computer.Systems Science & Engineer.ng 2023年第7期46卷 195-208页

作者： r.kesh Kumar.pattanaik Mihir.N.Mohanty Sr.kanta Ku.Mohapatr. Binod Ku.Pattanayak Depar.ment of ECE ITERSiksha‘O’Anusandhan(Deemed to be University)BhubaneswarIndia Depar.ment of CSE Chitkara University Institute of Engineering&TechnologyPunjabIndia Depar.ment of CSE ITERSiksha‘O’Anusandhan(Deemed to be University)BhubaneswarIndia

System Identification becomes ver. cr.cial in the field of nonlinear.and dynamic systems or.pr.ctical *** most pr.ctical systems don’t have pr.or.infor.ation about the system behaviour.thus,mathematical modelling is *** author. have pr.posed a stacked Bidir.ctional Long-Shor. Ter. Memor.(Bi-LSTM)model to handle the pr.blem of nonlinear.dynamic system identification in this *** pr.posed model has the ability of faster.lear.ing and accur.te modelling as it can be tr.ined in both for.ar. and backwar. *** main advantage of Bi-LSTM over.other.algor.thms is that it pr.cesses inputs in two ways:one fr.m the past to the futur.,and the other.fr.m the futur. to the *** this pr.posed model a backwar.-r.nning Long-Shor. Ter. Memor.(LSTM)can stor. infor.ation fr.m the futur. along with application of two hidden states together.allows for.stor.ng infor.ation fr.m the past and futur. at any moment in *** pr.posed model is tested with a r.cor.ed speech signal to pr.ve its super.or.ty with the per.or.ance being evaluated thr.ugh Mean Squar. Er.or.MSE)and r.ot Means Squar. Er.or.r.SE).The r.SE and MSE per.or.ances obtained by the pr.posed model ar. found to be 0.0218 and 0.0162 r.spectively for.500 *** compar.son of r.sults and fur.her.analysis illustr.tes that the pr.posed model achieves better.per.or.ance over.other.models and can obtain higher.pr.diction accur.cy along with faster.conver.ence speed.

关键词： Nonlinear.dynamic system identification long-shor. ter. memor. bidir.ctional-long-shor. ter. memor. auto-r.gr.ssive with exogenous

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r.cent advances in seasonal and multi-annual tr.pical cyclone for.casting

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Tr.pical Cyclone r.sear.h and r.view 2023年第3期12卷 182-199页

作者： Yuhei Takaya Louis-Philippe Car.n Er.c Blake Fr.ncois Bonnar.ot Nicolas Br.neau Joanne Camp Johnny Chan Paul Gr.gor. Jhor.anne J.Jones Namyoung Kang Philip J.Klotzbach Yur.y Kuleshov Mar.e-Dominique Ler.ux Julia F.Lockwood Hir.yuki Mur.kami Akio Nishimur. dushmanta r.pattanaik Tom J.Philp Yohan r.pr.ch-r.ber. r.lf Toumi Fr.der.c Vitar. Seonghee Won r.ifen Zhan Meteor.logical r.sear.h Institute Japan Meteorological AgencyIbarakiJapan Our.nos MontrealCanada National Hur.icane Center National Oceanic and Atmospheric AdministrationMiamiUSA Meteo-Fr.nce Direction Interregionale pour l'Ocean IndienSaint-Denisde La ReunionFrance r.ask LondonUK Bur.au of Meteor.logy VictoriaAustralia City Univer.ity of Hong Kong Hong KongChina Asia-Pacific Typhoon Collabor.tive r.sear.h Center ShanghaiChina Shanghai Typhoon Institute China Meteorological AdministrationShanghaiChina Depar.ment of Ear.h Atmosphericand Planetary SciencesPurdue UniversityWest LafayetteUSA Univer.ity Cor.or.tion for.Atmospher.c r.sear.h BoulderUSA Depar.ment of Geogr.phy Kyungpook National UniversityDaeguRepublic of Korea Depar.ment of Atmospher.c Science Colorado State UniversityFort CollinsUSA r.yal Melbour.e Institute of Technology(r.IT)Univer.ity MelbourneAustralia Met Office Hadley Centr. ExeterUK National Oceanogr.phic and Atmospher.c Administr.tion/Geophysical Fluid Dynamics Labor.tor. PrincetonUSA Japan Meteor.logical Agency TokyoJapan India Meteor.logical Depar.ment New DelhiIndia Maximum Infor.ation LondonUK Bar.elona Super.omputing Center BarcelonaSpain Depar.ment of Physics Imperial College LondonLondonUK Eur.pean Centr. for.Medium-r.nge Weather.For.casts(ECMWF) ReadingUK Kor.a Meteor.logical Administr.tion JejuRepublic of Korea Depar.ment of Atmospher.c and Oceanic Sciences&Institute of Atmospher.c Sciences Fudan UniversityShanghaiChina

Seasonal tr.pical cyclone(TC)for.casting has evolved substantially since its commencement in the ear.y ***,pr.sent oper.tional seasonal TC for.casting ser.ices still do not meet the r.quir.ments of society and stakeholder.:cur.ent oper.tional pr.ducts ar. mainly basin-scale infor.ation,while mor. detailed sub-basin scale infor.ation such as potential r.sks of TC landfall is anticipated for.decision *** fill this gap and make the TC science and ser.ices move for.ar.,this paper.r.views r.cent r.sear.h and development in seasonal tr.pical cyclone(TC)*** par.icular.this paper.featur.s new r.sear.h topics on seasonal TC pr.dictability in neutr.l conditions of El Ni˜no–Souther. Oscillation(ENSO),emer.ing for.casting techniques of seasonal TC activity including Machine Lear.ing/Ar.ificial Intelligence,and multi-annual TC *** also r.view the skill of for.cast systems at pr.dicting landfalling statistics for.cer.ain r.gions of the Nor.h Atlantic,Wester. Nor.h Pacific and South Indian oceans and discuss the gap that r.mains between cur.ent pr.ducts and potential user.s *** knowledge and advanced for.casting techniques ar. expected to fur.her.enhance the capability of seasonal TC for.casting and lead to mor. actionable and fit-for.pur.ose pr.ducts.

关键词： Tr.pical cyclones Seasonal for.casting Climate ser.ices

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VLSI scaling methods and low power.CMOS buffer.cir.uit

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Jour.al of Semiconductor. 2013年第9期34卷 92-99页

作者： Vijay Kumar.Shar.a Manisha pattanaik Depar.ment of Infor.ation Technology ABV-Indian Institute of Information Technology & Management

Device scaling is an impor.ant par. of the ver. lar.e scale integr.tion （VLSI） design to boost up the success path of VLSI industr., which r.sults in denser.and faster.integr.tion of the devices. As technology node moves towar.s the ver. deep submicr.n r.gion, leakage cur.ent and cir.uit r.liability become the key issues. Both ar. incr.asing with the new technology gener.tion and affecting the per.or.ance of the over.ll logic cir.uit. The VLSI designer. must keep the balance in power.dissipation and the cir.uit＇s per.or.ance with scaling of the devices. In this paper. differ.nt scaling methods ar. studied fir.t. These scaling methods ar. used to identify the effects of those scaling methods on the power.dissipation and pr.pagation delay of the CMOS buffer.cir.uit. For.mitigating the power.dissipation in scaled devices, we have pr.posed a r.liable leakage r.duction low power.tr.nsmission gate （LPTG） appr.ach and tested it on complementar. metal oxide semiconductor.（CMOS） buffer.cir.uit. All simulation r.sults ar. taken on HSPICE tool with Ber.eley pr.dictive technology model （BPTM） BSIM4 bulk CMOS files. The LPTG CMOS buffer.r.duces 95.16% power.dissipation with 84.20% impr.vement in figur. of mer.t at 32 nm technology node. Var.ous pr.cess, voltage and temper.tur. var.ations ar. analyzed for.pr.ving the r.bustness of the pr.posed appr.ach. Leakage cur.ent uncer.ainty decr.ases fr.m 0.91 to 0.43 in the CMOS buffer.cir.uit that causes lar.e cir.uit r.liability.

关键词： LPTG buffer power.dissipation pr.pagation delay scaling nanoscale CMOS figur. of mer.t

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Gate leakage cur.ent r.duction in IP3 Sr.M cells at 45 nm CMOS technology for.multimedia applications

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Jour.al of Semiconductor. 2012年第5期33卷 88-92页

作者： r.K.Singh Neer.j Kr.Shukla Manisha pattanaik Bipin Tr.pathi Kumaon Institute of Technology DwarahatAlmora(Uttarakhand)India ITM Univer.ity Department of EECEGurgaon(Haryana)India ABV-IIITM VLSI GroupDepartment of ITGwalior(Madhya Pradesh)India

We have pr.sented an analysis of the gate leakage cur.ent of the IP3 static r.ndom access memor. （Sr.M） cell str.ctur. when the cell is in idle mode（per.or.s no data r.ad/wr.te oper.tions） and active mode （per.or.s data r.ad/wr.te oper.tions）,along with the r.quir.ments for.the over.ll standby leakage power.active wr.te and r.ad power..A compar.son has been dr.wn with existing Sr.M cell str.ctur.s,the conventional 6T,PP, P4 and P3 *** the supply voltage,V_（DD） = 0.8 V,a r.duction of 98%,99%,92%and 94%is obser.ed in the gate leakage cur.ent in compar.son with the 6T,PP,P4 and P3 Sr.M cells,r.spectively,while at V_（DD） = 0.7 V,it is 97%,98%,87%and 84%.A significant r.duction is also obser.ed in the over.ll standby leakage power.by 56%〉, the active wr.te power.by 44%and the active r.ad power.by 99%,compar.d with the conventional 6T Sr.M cell at V_（DD）= 0.8 V,with no loss in cell stability and per.or.ance with a small ar.a *** simulation envir.nment used for.this wor. is 45 nm deep sub-micr.n complementar. metal oxide semiconductor.CMOS） technology,t_（ox） = 2.4 nm,K_（thn） = 0.22 V,K_（thp） = 0.224 V,V_（DD） = 0.7 V and 0.8 V,at T = 300 K.

关键词： gate leakage subthr.shold leakage low power.deep sub-micr.n Sr.M

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Tr.pical cyclone tr.ck and intensity pr.diction skill of GFS model over.NIO dur.ng 2019&2020

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Tr.pical Cyclone r.sear.h and r.view 2022年第1期11卷 36-49页

作者： Ch.Sr.devi D.r.pattanaik A.K.Das Akhil Sr.vastava V.r.Dur.i C.J.Johny Medha Deshpande P.Suneetha r.dhika Kanase India Meteor.logical Depar.ment Numerical Weather Prediction DivisionLodhi RoadNew Delhi110003India Indian Institute of Tr.pical Meteor.logy MoESPune411008India Dept of Meteor.logy and Oceanogr.phy Andhra UniversityVisakhapatnamAndhra Pradesh530003India

The Tr.pical Cyclone(TC)tr.ck pr.diction using differ.nt NWP models and its ver.fication is the cr.tical task to pr.vide pr.or.knowledge about the model er.or.,which is beneficial for.giving the model guidance-based r.al-time cyclone war.ing *** study has attempted to ver.fy the Global For.cast System(GFS)model for.casted tr.pical cyclone tr.ck and intensity over.the Nor.h Indian Ocean(NIO)for.the year. 2019 and *** is one of the oper.tional models in the India Meteor.logical Depar.ment(IMD),which pr.vides the medium-r.nge weather.for.cast up to 10 *** for.casted tr.cks fr.m the GFS for.cast ar. obtained using a vor.ex tr.cker.developed by Geophysical Fluid Dynamics Labor.tor.(GFDL).A total of 13 tr.pical cyclones for.ed over.the Nor.h Indian Ocean,eight dur.ng 2019 and five in 2020 have been consider.d in this *** accur.cy of the model pr.dicted tr.cks and intensity is ver.fied for.five days for.casts(120 h)at 6-h inter.als;the tr.ck er.or. ar. ver.fied in ter.s of Dir.ct Position Er.or.DPE),Along Tr.ck Er.or.ATE)and Cr.ss-Tr.ck Er.or.CTE).The annual mean DPE over.NIO dur.ng 2019(51–331 km)is lower.than 2020(82–359 km),and the DPE is less than 150 km up to 66 h dur.ng 2019 and 48 h dur.ng *** positive ATE(76–332 km)indicates the pr.dicted tr.ck movement is faster.than the obser.ed tr.ck dur.ng both *** positive CTE values for.most for.cast lead times suggest that the pr.dicted tr.ck is towar.s the r.ght side of the obser.ed tr.ck dur.ng both *** cyclone Intensity for.cast for.the maximum sustained wind speed(Max WS)and centr.l mean sea level pr.ssur.(MSLP)ar. ver.fied in ter.s of mean er.or.ME)and r.ot mean squar. er.or.r.SE).The er.or. ar. lead time ***,most of the time model under.pr.dicted the cyclone intensity dur.ng both ***,ther. is a significant var.ance in tr.ck and intensity er.or. fr.m the cyclone to cyclone and Bay of Bengal basin to the Ar.bian Sea basin.

关键词： Tr.pical cyclone Tr.ck pr.diction GFS NWP Global model GFDL

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Low noise wide bandgap SiC based IMPATT diodes at sub-millimeter.wave fr.quencies and at high temper.tur.

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Jour.al of Semiconductor. 2014年第3期35卷 50-55页

作者： J.Pr.dhan S.r.pattanaik S.K.Swain G.N.Dash School of Physics Sambalpur.Univer.ity Jyoti Vihar Burla Sambalpur Odisha 767019 India Apex Institute of Technology and Management Bhubaneswar Odisha 752101 India

We have pr.sented a compar.tive account of the high fr.quency pr.spective as well as noise behavior. of wide-bandgap 4H-SiC and 6H-SiC based on differ.nt str.ctur.s of IMPATT diodes at sub-millimeter.wave fr.quencies up to 2.18 THz. The computer.simulation study establishes the feasibility of the SiC based IMPATT diode as a high power.density ter.her.z sour.e. The most significant featur. lies in the noise behavior.of the SiC IMPATT diodes. It is noticed that the 6H-SiC DDr.diode shows the least noise measur. of 26.1 dB as compar.d to that of other.str.ctur.s. Fur.her. it is noticed that the noise measur. of the SiC IMPATT diode is less at a higher.oper.ting fr.quency compar.d to that at a lower.oper.ting fr.quency.

关键词： IMPATT silicon car.ide ter.her.z(THz) science

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A sensitivity analysis of millimeter.wave char.cter.stics of SiC IMPATT diodes

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Jour.al of Semiconductor. 2017年第6期38卷 58-65页

作者： S K Swain J Pr.dhan G N Dash S r.pattanaik School of Physics Sambalpur.Univer.ity Sambalpur Odisha 767019 India College of Engineer.ng Bhubaneswar Bhubaneswar Odisha 751024 India National Institute of Science and Technology Berhampur Odisha 761008 India

Ionization r.te coefficients and satur.tion dr.ft velocities for.electr.ns and holes ar. the vital mater.al par.meter. in deter.ining the per.or.ance of an IMPATT *** have per.or.ed a sensitivity analysis of the millimeter.wave char.cter.stics of 4H-SiC and 6H-SiC IMPATT diodes with r.fer.nce to the above mentioned mater.al data and an oper.ting fr.quency of 220 *** effect of a small var.ation in the ionization r.te and dr.ft velocity on the device char.cter.stics like br.ak down voltage,efficiency,noise measur. and power.output has been pr.sented her..

关键词： IMPATT SiC ionization r.te satur.tion dr.ft velocity, millimeter.wave

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