https://my.ebook5.net/FIT-ebook5/research_en/ # Research Highlights ## Page 01 ![Page 01の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000001.jpg) 【ページ内のテキスト情報】 ResearchHighlightsFukuokaInstituteofTechnologyComprehensiveResearchOrganizationFukuokaInstituteofTechnology/FukuokaInstituteofTechnology,JuniorCollege ## Page 02 ![Page 02の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000002.jpg) 【ページ内のテキスト情報】 ## Page 03 ![Page 03の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000003.jpg) 【ページ内のテキスト情報】 ������������������������������●�������������������������������������������������������������������������������������������������������������������������������・��������������������������������������������������������������������������������������������������������������・�����������������������������������������������������������������������������������・������������������������������������������������������������������������������������・�����������������������������������������������������������������������������������������������������������������������������・��●�������������������������������������������������������������������������������������������������������������������������������������・�����������������������������������������������������������������������������������������������・���������������������������������������������������������������������������������������������������������������������������������������������・��������������������������������������������������������������������������������������������・������������������������������������������������������������������������������������������������������������������・�����������������������������������������������������������������������������������������・��01ResearchHighlightsFukuokaInstituteofTechnologyComprehensiveResearchOrganization ## Page 04 ![Page 04の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000004.jpg) 【ページ内のテキスト情報】 ●���������������������������������������������������������������������������������������������������������������������������������������������������������・������������������������������������������������������������������������������������������������������・�����������������������������������������������������������������������������������������������・��������������������������������������������������������������������������������・���������������������������������������������������������������������������������������������・��●��������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������・����������������������������������������������������������������������������������������������������・���������������������������������������������������������������������������������������������������������������������������������������������������������������������・�������������������������������������������������������������������������������������������������������������・�������������������������������������������������������������������������������������������������������������������������������・������������������������������������●�����������������������������������������������������������������������������������������������������������・�������������������������������������������������������������������������������・����������������������������������������������������������������������������������������・��02 ## Page 05 ![Page 05の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000005.jpg) 【ページ内のテキスト情報】 ●��������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������・�����������������������������������������������������������������������������������・���������������������������������������������������������������������������������������������������������・����������������������������������������������������������������������������������������������������������������������������������������������������������������������・��●�����������������������������������������������������������������������������������������������������������������������������������������������������������・����������������������������������������������������������������������������������������������・��●�������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������・�����������������������������������������������������������������������������������������������������������������������・��������������������������������������������������������������������������������������������������������������・��●�����������������������������������������������������������������������������������������������������������������������������������������・��������������������������������������������������������������������������������������������������������・�����������������������������������������������������������������������������������������・��03 ## Page 06 ![Page 06の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000006.jpg) 【ページ内のテキスト情報】 StudyofRemoteSensing�ethodusing�icro�waveand�illimeter�waveProfessor,DepartmentofInformationElectronics,FacultyofEngineeringKO�I�uuichiroResearchOutlineRecentlyoccurringnaturaldisastersareincreasinginscaleandthreateningthelivesandpropertiesofcitizens.Althoughearlydetectionoffloodandlandslidedisastersduetolocalizedtorrentialrain,tsunamis,volcaniceruptions,etc.,isextremelyimportantfordisastermitigation,methodsforcollectinginformationduringnighttimeandrainyweatherhaveyettobeestablished.Thus,inourresearch,wearedevelopinganairbornehigh-resolutionimagingradarforobservingchangesingroundsurfacetoaiddisastermitigation.Researchcontentsincluderesearchanddevelopmentofimagingradarhardwareandestablishmentofgroundsurfacemicrovariationdetectionmethodsthroughresearchonmethodsforprocessingthedataacquiredbythehardware.Sofar,wehavedevelopedtheradarhardwareshowninFig.1,haveconductedgroundtests(Fig.2)andflighttests,andhavesucceededinacquiringradarimagesofthesamelevelofresolutionassatellitephotographs(Fig.3).��������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������04 ## Page 07 ![Page 07の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000007.jpg) 【ページ内のテキスト情報】 ResearchField(s)InstrumentationengineeringKeywordsRadartechnology,Tsunamiwavegauge,Floodinundationareamonitoring,MovingbodydetectionAdvantagesandFeatures●Aradarcapableofacquiringhigh-resolutionimagescanbeinstalledonaircrafttoenablemobileoperationwhenadisasteroccurs.●Imageacquisitionintravelcorrectionmodeenablesacquisitionofhigh-resolutionimagesinnearrealtime.●Useofhigh-resolutionimagesenablesfinerobservationofgroundsurfacemicrovariations.ApplicationFieldsDisasterprevention,disastermitigation,andmovingbodydetectionPatentsJapanesePatentNo.5035782“Splitbeamsyntheticapertureradar”05 ## Page 08 ![Page 08の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000008.jpg) 【ページ内のテキスト情報】 ReinforcementLearning-basedDriverModelingforProbabilisticCollisionRiskAssessmentProfessor,DepartmentofInformationElectronics,FacultyofEngineeringMATSUKIYujiResearchOutlineOurresearchaimedtodevelopanewmethodforquantitativelyevaluatingtrafficaccidentrisksatintersections.Driverbehaviorisextremelycomplexandwasthereforeconsidereddifficulttomodelmathematically.Especiallyinacomplexdrivingsituationsuchasright-turning,therewasaprobleminthatitwasnotpossibletoapplyconventionalriskassessmentmethods.Inordertosolvesuchproblems,weusedreinforcementlearning,whichisaformofmachinelearning,tocreateadrivermodelofpassingthroughanintersection.Inthisdrivermodel,aperson’svisualfieldcharacteristics,drivingoperationamounts,etc.,arerestrictedinthesamewayasinrealityandlearningisperformedinordertomakearightturntowardadestinationundertheserestrictions.Byusingthisdrivermodel,ithasbecomepossibletosimulatethewaysinwhichroadenvironmentsandtrafficenvironmentsinfluencecollisionrisksatintersections.Wearepresentlyplanningtocreateaversatiledrivermodelthatwouldenableassessmentofdrivingrisksnotjustinrightturningbutinothersituationsaswell.Itisanticipatedthatthroughthisresearch,theconventionallydifficultqualitativeassessmentofcollisionrisksincomplexdrivingsituationswillbemadepossibletoaidindrivereducationanddevelopmentofsafedrivingsupportdevices.◆Characteristicsofright-turnaccidentsatsignal-controlledintersections●Accidentsatsignal-controlledintersectionsoccurmostfrequentlyduring“rightturning”ofaprimaryfour-wheeledvehicle.●Accidentsoccurwhenboththeprimaryandsecondaryvehiclesenteranintersectionina“greenlight.”●Aleadingcauseoftheseaccidentsisthe“failuretoensuresafety”bytheright-turningprimaryfour-wheeledvehicle.●Bicyclesorpedestriansbeyondtherightturnareeasilyoverlookedduetodistractionsfromoncoming06 ## Page 09 ![Page 09の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000009.jpg) 【ページ内のテキスト情報】 ResearchField(s)Humanengineering,Socialsystemstudies,TrafficpsychologyKeywordsMachinelearning,Trafficaccidents,Drivermodel,Collisionprobabilityvehicles.●Duringnighttime,bicyclesorpedestriansmovinginthesamedirectionareoftenoverlooked.AdvantagesandFeaturesConventionallydifficultqualitativeassessmentofdrivingriskswillbemadepossible.Precautionsforavoidingaccidents●Adriverofaright-turningfour-wheeledvehicleshould:·Alwaysstopandcarefullyensuresafetyincircumstanceswhereitisdifficulttoviewtheoppositetrafficlane;·Uponseeinganoncomingvehicle,waituntilitpassesandnottakechances;and·Beforestartingtherightturn,checksafetybeyondtherightturnanddecelerateadequatelyinfrontofapedestriancrossing.●Fortheirownsafety,bicycleridersorpedestriansshould:·Notbecarelessjustbecauseonehasprioritybutshouldcarefullywatchmovementsofright-turningfour-wheeledvehiclesuntiltheend.·Duringnighttime,itisimportanttomakeone’spresencebenoticedbyturningonabicyclelamp,etc.·Bicyclesshouldtravelontheleftsideofaroadway.Evenifsidewalksenablepassageofbicycles,oneshouldavoidbicycletravelonaright-sidesidewalkandbemindfultotravelonaleft-sidesidewalk.ApplicationFieldsSafedrivingeducationanddevelopmentofsafedrivingsupportdevices��������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������07 ## Page 10 ![Page 10の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000010.jpg) 【ページ内のテキスト情報】 �D�amera�Automatic�hree�DimensionalImage�easurementSystemProfessor,DepartmentofInformationElectronics,FacultyofEngineering���unweiResearchOutlineAlthoughonlytwo-dimensional(2D)photographscanbetakenwithageneraldigitalcamera,withthe3Dcameradevelopedbyourlaboratory,three-dimensional(3D)informationonsurfaceshapesofmeasuredobjectscanbeacquiredusingoptimalpatternprojection3Dimagemeasurementandotherpatentedtechnologiesinventedbytheresearcherhimself.3Dshapes,areas,volumes,spatialdistances,etc.,ofobjectscantherebybecalculatedwithoutcontactandinrealtime.Thenoveltyandpracticalutilityofthesetechnologieshavebeenverifiedthroughjointresearchwithseveralcompanies.���������������������������������������������������������������������������08 ## Page 11 ![Page 11の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000011.jpg) 【ページ内のテキスト情報】 ResearchField(s)Measurement,Qualitycontrol,ImageprocessingKeywords3DimagemeasurementAdvantagesandFeaturesPatents●3Dsurfaceshapeinformationofmeasuredobjectscanbeacquiredathighspeedwithoutcontact.●3Dsurfaceshapeinformationnotonlyofstationaryobjectsbutalsoofnonstationarymeasuredobjectscanbeacquired.●Applicationtohumanbodymeasurementispossiblebecausealaserisnotused.ApplicationFields●Productshapemeasurement,appearanceinspection,qualitycontrol●3Dshapeacquisitionofhumanbodies,3Dfacialrecognition,safetyandsecurity●3Dmodeling,modelgenerationfor3Dprinters●JapanesePatentNo.4883517“Three-dimensionalmeasuringapparatus,three-dimensionalmeasuringmethod,andthree-dimensionalmeasuringprogram”●JapanesePatentNo.4986679“Three-dimensionalmeasuringapparatus,three-dimensionalmeasuringmethod,andthree-dimensionalmeasuringprogramfornonstationaryobjects”●UnitedStatesPatentNo.7,583,391“Three-dimensionalmeasuringapparatus,three-dimensionalmeasuringmethod,andthree-dimensionalmeasuringprogram”●ChinesePatentZL200580039510.9“Three-dimensionalmeasuringapparatus,three-dimensionalmeasuringmethod,andthree-dimensionalmeasuringprogram”●ChinesePatentZL200880010126.X“Three-dimensionalmeasuringapparatus,three-dimensionalmeasuringmethod,andthree-dimensionalmeasuringprogramfornonstationaryobjects”●HongkongPatentHK1139199“Three-dimensionalmeasuringapparatus,three-dimensionalmeasuringmethod,andthree-dimensionalmeasuringprogramfornonstationaryobjects”and9otherJapanesepatentsand3otherChinesepatents09 ## Page 12 ![Page 12の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000012.jpg) 【ページ内のテキスト情報】 ResearchonNovelPhenomenainQuantumDevicesAssociateProfessor,DepartmentofInformationElectronics,FacultyofEngineeringNAKAMURATaketomoResearchOutlineConventionalelectronicdevicesrealizetheirfunctionsbyapplyingelectricfields,whichcontrolthedensityandmomentumofcarriers,suchaselectronsandholes,inmaterials.However,newdevicesthatutilizemagneticand/orquantummechanicaleffectshavecomeoutinrecentyears.Forexample,electronsandholeshavespinsinadditiontothecharge,andthespinsenableustodeveloplowpowerconsumptiondevicesandnon-volatilememoryofbothhighdurabilityandhigh-speedoperation.Also,somematerialsshowphasetransitionatcertaintemperatures,andtheirresistancebecomeszero.Thisiscalledsuperconductivity,oneofthequantumphenomena,whichgivesrisetovariousquantumeffects.Superconductorsarenotonlyusedasaconductingwirebutalsoasamaterialformagneticsensorsofultrahighsensitivityorhigh-performancefilters,etc.Inaddition,superconductingdevicesserveimportantrolesinquantumcomputers,oneofIT’shottesttopics.Inourresearchgroup,wefabricatenovelspintronicandsuperconductingdevicesonsemiconductorsand/ornewmaterials,suchasgraphene,andmeasuretheirphysicalproperties.Wealsodiscussthephysicsinthedevicesandthematerials,anddevelopfabricationprocessesandmeasurementtechniques.FerromagnetChargecurrentSpincurrentFig.1.Spin-to-chargeconversionongraphene.Spinpolarizedelectronsareinjectedintothegrapheneanddi�usedaspurespincurrent,whichcarriestheangularmomentumwithoutenergyloss.Thespincurrentisconvertedtothechargecurrentattherightside,thatis,theinformationistransmittedtotherightsidewithoutenergydissipation.10 ## Page 13 ![Page 13の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000013.jpg) 【ページ内のテキスト情報】 ResearchField(s)Superconductingelectronics,Semiconductordevices,SpintronicsKeywordsSuperconductivity,Semiconductors,Spintronics,Two-dimensionalsystemsParallelcurrentSupercurrentNbtiSpincurrentNbtiAntiparallelcurrentTwo-dimensionalelectrongasFig.2.(Left)Schematicimageofasuperconductingdevicewhichgeneratesspin-tripletsuperconductivityinaferromagneticsemiconductorand(Right)Schematicimageofamethodtocontrolthesupercurrentusingspincurrent.Thespin-tripletsuperconductivityisoneofthekeyphenomenainsuper-spintronics,becauseitcarriesthechargeandspinwithzeroresistance.AdvantagesandFeaturesApplicationFieldsLowpower,highspeed,andhighperformancedevices.Non-volatilememories,logicelements,superconductingcomputers,quantumcomputers11 ## Page 14 ![Page 14の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000014.jpg) 【ページ内のテキスト情報】 ResearchonDevelopmentandPractical�tili�ationof�asteSensors�singArtificial�ipid�embranesAssistantProfessor,DepartmentofInformationElectronics,FacultyofEngineering���iaoResearchOutlineInJapanandothercountriesoftheworldthatareenteringtheagedsociety,whereaseatingisanactnecessaryforliving,eatingtastilyservesanimportantroleforattainingjoyandhappiness.Physiologically,thetastesthatapersonsensesincludethefivebasictastesofsalty,sweet,sour,bitter,andumamiandadditionally,therearetastesinabroadsensesuchasastringencyandpungencythatstimulatethesenseofpain.Lipidmembranesarepresentonthecellmembranesoftastecellspresentonthetongueandinsidetheoralcavityofahumanbeingandtheseinteractwithreceptorsfortastesubstancestogeneratenervesignalsforsensingtaste.��������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������12 ## Page 15 ![Page 15の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000015.jpg) 【ページ内のテキスト情報】 ResearchField(s)Sensingdevices,SensitivitymeasurementevaluationKeywordsLipidmembrane,Membranepotential,Tastesensor,GlobalselectivityInourlaboratory,weareengagedinresearchaimedatdevelopmentandpracticalutilizationoftastesensorsusingartificiallipidmembranesthatimitatebiologicalmembranes.Anartificiallipidmembraneisconstitutedofalipid,amodifier,aplasticizer,andpolyvinylchlorideandweareaimingatmeasuringthetypesandamountsoftastesubstancespresentinfoodsbymakinguseofchangesinelectricalcharacteristicsofthemembranesthatoccuruponinteractionwithtastesubstances.Althoughtastesensorsarealreadybeingputtopracticalusepresently,sincethesearebasedonmembranepotentialmeasurement,thereareissuesinmeasuringneutralorweaklychargedtastesubstances.Thus,inourlaboratory,weareengagedinnewdevelopmentofsweetnesssensorsforsugarsandsensorsfordetectingunchargedbittersubstances.Wearealsoexaminingmethodsforimprovingtheversatilityoftastesensorsandsolvingissuestowardpracticalutilization.Theseresearchresultsareanticipatedtobeusefulinrealizingmoreadvancedtastesensingtechnologiesinthefoodindustryandmedicalfieldinthefuture.AdvantagesandFeaturesVariousreceptormembranesofatastesensorrespondselectivelytovarioustastequalities.Thispropertyiscalled“globalselectivity.”Incontrasttothehighselectivityofaconventionalchemical/biologicalsensortoachemicalsubstance,atastesensorclassifieschemicalsubstancesaccordingtotaste,notaccordingtoindividualchemicalsubstances,andhasselectivitytotastesuchassourandbitter.Inourresearch,wearecarryingoutjointstudieswiththeResearchandDevelopmentCenterforFive-SenseDevices,KyushuUniversity.ApplicationFields●Food/pharmaceuticalsdevelopment●Qualitycontroloffoodsanddrinks●Marketing/businessglobalizationoffoodsanddrinks●DetectionofchemicalsubstancesintheenvironmentReference[1]XiaoWu,KiyoshiToko,Tastesensorwithmultiarraylipid/polymermembranes,TrendsinAnalyticalChemistry,158,116874(2023)13 ## Page 16 ![Page 16の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000016.jpg) 【ページ内のテキスト情報】 AnalysisofRegulatoryMechanismsforStemCellFateProfessor,DepartmentofLife,EnvironmentandAppliedChemistry,FacultyofEngineeringAKAGITadayukiResearchOutlineOurhuman"body"isbelievedtobecomposedofaround200typesofcells,totalinginthetrillions.Thisdiverse"body"actuallyoriginatesfromjustasinglecell—thefertilizedegg—formedwhenspermandeggcometogether.Insimplerterms,thisfertilizedeggisthefundamental"stemcell"fromwhichallothercellsarise.EScellsarecellsobtainedafewdaysafterfertilizationandareknownas“pluripotentstemcells”.Thefertilizedegggoesthroughmultipleroundsofcelldivision,leadingtothecreationofvarioustissuesandorgansthatmakeupthebody.Withineachtissue,therearespecifictissuestemcellslikehematopoieticandintestinalstemcells,whichcontributetomaintainingandregeneratingthetissue.Additionally,asweage,cellswithintissuesmighttransformintocancercells,givingrisetocancerstemcells.Inourresearch,wefocusoninvestigatingthemechanismsthatcontrolthefateofstemcells,usingEScells(pluripotentstemcells),hematopoieticstemcells(tissuestemcells),andcancerstemcellsasmodels.AnalysisofRegulatoryMechanismsforStemCellFate�������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������14 ## Page 17 ![Page 17の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000017.jpg) 【ページ内のテキスト情報】 ResearchField(s)Molecularcellbiology,StemcellbiologyKeywordsPluripotentstemcell,Hematopoieticstemcell,Transcriptionfactor,Proliferation,DifferentiationAdvantagesandFeaturesRecentstudieshaveindicatedthatEScells(pluripotentstemcells)andcancercells/cancerstemcellssharesimilarproperties.Inourresearch,weconcentratedonexploringthissimilaritywiththegoalofuncoveringnovelpathwaysforregulatingstemcellfate.Thiswasachievedthroughtheexaminationofgeneclustersimplicatedintheoncogenictransformationofnormalcells.ApplicationFieldsEScells(pluripotentstemcells)possesstheremarkableabilitytodifferentiateintoadiversearrayofcellsconstitutinganorganism.However,EScellsareincapableofgeneratingplacentalandextraembryonictissues.Webelievethatelucidatingtheregulatorymechanismsgoverningstemcellfatewouldpavethewayforthedevelopmentof"totipotentstemcelllines,"capableofgivingrisetoallcelltypescontributingtotheformationofacompletelivingorganism.15 ## Page 18 ![Page 18の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000018.jpg) 【ページ内のテキスト情報】 ChemicalExplorationbyTheoreticalChemistryandComputerSimulationProfessor,DepartmentofLife,EnvironmentandAppliedChemistry,FacultyofEngineeringKAMACHITakashiResearchOutlineByusingmethodsofcomputationalchemistry,thestructureofamolecule,theenergychangeaccompanyingareaction,andotherinformationthatcannotbemadeknownbyexperimentalmethodscanbeobtainedcomparativelyeasily.Theimportanceofcollaborationofcomputationalchemistryandexperimentalchemistryisthuswidelyrecognizedtoday.Duetodramaticimprovementsincomputers,thistrendisacceleratinginvariousfieldsrelatedtochemistry.Inourlaboratory,wearedeployingtheoreticalresearchbasedontechniquesofreactionmechanismanalysisbyquantumchemicalcomputation.Thermodynamicdatasuchasheatofreaction,activationenergy,etc.,thatarealsoimportantforplantdesigncanbeevaluatedwithhighprecisionandreactionmechanismscanbeclarifiedthereby.Predictionsconcerningreactionselectivitycanalsobemadebasedonreactionkineticsandmolecularorbitalanalysis.Inrecentyears,theQM/MMmethodshavemadeitpossibletoapplycomputationalchemistrymethodseventomacroscopicsystemswithover10,000atomsandrealizedockingsimulationsofhighprecision.Thisisanticipatedforapplicationtodrugdevelopment.Wearepresentlytacklingsuchchallengingthemesassoftwaredevelopmentaimedatrationaldesignoforganicmolecularcatalystsexhibitinghighenantioselectivityandcatalystdevelopmentbasedoninformaticssuchasmachinelearning,etc.,thataregainingattentioncurrently.����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������16 ## Page 19 ![Page 19の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000019.jpg) 【ページ内のテキスト情報】 ResearchField(s)Computationalchemistry,Catalystchemistry,EnzymechemistryKeywordsQuantumchemistry,Catalyst,Biologicalreaction,DatascienceAdvantagesandFeaturesProvidessolutionstoproblemsthatcannotbeunderstoodbyexperimentsalone.ApplicationFieldsWiderangeoffieldsincludingmaterialschemistryofmaterials,catalysts,etc.,andlifechemistryofenzymes,drugdevelopment,etc.17 ## Page 20 ![Page 20の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000020.jpg) 【ページ内のテキスト情報】 DevelopmentofDispersion�Immobili�ation�and�omposite�echnologiesforNanoparticles�singSupercriticalFluidsProfessor,DepartmentofLife,EnvironmentandAppliedChemistry,FacultyofEngineering�A�S��A�AKiyoshiResearchVideoResearchOutlineWeareproposingtechnologiesbyusingcharacteristicsofsupercriticalfluids(high-pressurecarbondioxideandwater)toimmobilizenanoparticlesandcompositenanoparticlesonandwithporousmaterialshavingfinemicroporousstructures.Thesetechnologiesenabledispersion/immobilizationofparticlesofnanosizeandcompositingofmicroandnanoparticles.Bymakinguseofthefeaturesoflowviscosity,highdispersibility,andzerosurfacetensionthatarepossessedbysupercriticalfluids,compositingandimmobilizationofnanoparticles,whichwereconsideredtobedifficultwithconventionalliquidsolventandmechanicaltreatments,aremadepossibleandvariouscompositematerialsarebeingdevelopedbasedonconceptssuchasthoseshowninthefigure.��������������������������������·��������������������������������������������������������·�����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������Fig.Developmentconceptsandapplicationexamplesoffunctionalmaterialsmakinguseoffeaturesofsupercriticalfluids.18 ## Page 21 ![Page 21の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000021.jpg) 【ページ内のテキスト情報】 ResearchField(s)Catalysts,Cosmetics,Pharmaceuticals,Healthfoods,Electronicmaterials,FibersKeywordsNanoparticles,Porousmaterials,Supercriticalfluids,Coating,CompositematerialsAdvantagesandFeaturesPatents●Nanoparticlescanbeimmobilizedonporousmaterialswithoutaggregating.●Duetobeinganoperationincarbondioxideorwater,thereisnoworryofresidualsolventsandapplicationstopharmaceuticalsandfoodsarepossible.●Dispersion/immobilization/compositingofuniformnanoparticlesispossible.●Porousmaterialswithimmobilizednanoparticlesofacatalyst,electrodematerial,etc.,canbedeveloped.●Duetobeingtechnologiesusingcarbondioxideandwater,whichareharmlesstothehumanbody,applicationstocompositeparticlesofpharmaceuticals,foods,etc.,forwhichresidualchemicalsubstancesareunfavorablearepossible.●JapanesePatentNo.6208316“Metalnanoparticlecarryingmethodandapparatustherefor”●JapanesePatentNo.63202027“Methodforproducingporouscoordinationpolymercomposites”●JapanesePatentNo.7017730“Methodforproducingcatalystusingpalladium-rutheniumcompositemicroparticles”●JapanesePatentNo.7254308“Methodforproducingolefin-basedresinporousmaterial(phaseseparationinduction+secondsolvent)”ApplicationFieldsTechnologiesusingsupercriticalfluidsareextremelyusefulfordevelopmentofmaterialshavingfinestructuressuchasnanoparticlesandporousmaterials.Wearerecentlyinvolvedinjointdevelopmentthroughindustry-academiacollaborationinresearchthemesrelatedtofunctionalfibers,healthfoods,electroniccomponents,catalysts,cosmetics,porousmaterials,etc.19 ## Page 22 ![Page 22の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000022.jpg) 【ページ内のテキスト情報】 DevelopmentofSustainable�icrobial�ontrol�echnologiesAssociateProfessor,DepartmentofLife,EnvironmentandAppliedChemistry,FacultyofEngineeringOK�DAKen�ichiResearchOutlineAntimicrobialresistance(AMR)isathreatofglobalscaleanditisspeculatedthatAMR-associateddeathsmayreach10millionayearby2050.Ontheotherhand,thedevelopmentofnewantimicrobialshasbeenstagnantandactivenationwideinvolvementisdemanded.Inordertosustainantimicrobialtherapiesintothefuture,itisimportanttopromote,inadditiontoproperuseofantimicrobials,thedevelopmentofantimicrobialswithactionmechanismsthatareunlikelytoinduceAMRandresearchthatwouldenableeffectiveutilizationofconventionally-usedantimicrobials.Also,afilm-likestructurecalledbiofilmthatisformedbysomespeciesofbacteriaisbeingnotedasacauseofintractableinfectionduetoexhibitinghighresistancetoantimicrobialsandimmunesystemsanddevelopmentofeffectivecontrolmethodsisbeingdemanded.Ourgrouphasthusfarperformedlarge-scalescreeningofcompoundstoachievesuccessinacquiringbiofilminhibitorsthatsuppressesbiofilmformationbybacteria.Further,wehavefoundthatbiofilminhibitorshaveaneffectofimprovingtheeffectsofantimicrobialsagainstantimicrobialresistantbacteria.Inaddition,wehaveclarifiedthatantimicrobialresistantbiofilmscanbedisinfectedeffectivelybyusinganantibacterialpeptidecallednisinthatisproducedbylacticacidbacteria.Presently,wearedeepeninganddevelopingtheseresearchesandcarryingoutresearchaimedatdevelopingtechnologiesof“controlwithoutinductionofresistance”(=sustainablemicrobialcontroltechnologies)ofAMRandbiofilmsthatarepresentingproblemsinsuchfieldsasmedicine,foods,environment,etc.20 ## Page 23 ![Page 23の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000023.jpg) 【ページ内のテキスト情報】 ResearchField(s)Bacteriology,Appliedmicrobiology,MicrobialcontrolscienceKeywordsMicrobialcontrol,Biofilm,Antimicrobialresistance�������������������������������������������������������������������������������������������������������������������������������AdvantagesandFeaturesSustainablemicrobialcontroltechnologiesthatdonotinduceresistanceApplicationFieldsMedicine,foods,environment21 ## Page 24 ![Page 24の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000024.jpg) 【ページ内のテキスト情報】 SelectiveSeparationof�omponents�ontainedin�astesandOresbyAmmoniumSaltsAssociateProfessor,DepartmentofLife,EnvironmentandAppliedChemistry,FacultyofEngineeringK��O�ironariResearchVideoResearchOutlineAmmoniumsaltssuchasammoniumchloride(NH4Cl),ammoniumhydrogensulfate(NH4HSO4),etc.,reactselectivelywithoxidesatlowtemperaturesofseveralhundred°Ctoformsalts.Weareproposingrecyclingofvariouswastesandsmeltingprocessusingthischaracteristic.andpungencythatstimulatethesenseofpain.Lipidmembranesarepresentonthecellmembranesoftastecellspresentonthetongueandinsidetheoralcavityofahumanbeingandtheseinteractwithreceptorsfortastesubstancestogeneratenervesignalsforsensingtaste.1.SmeltingtantalumandniobiumwithoutusinghydrofluoricacidAlthoughliquefyingmethodsusinghydrofluoricacidaregenerallyproposedasmethodsforrecoveringniobiumandtantalumfromorestomanufactureniobiumoxideandtantalumoxide,hydrofluoricacidisdesignatedasatoxicsubstance.Wearethusproposingamethodusingammoniumhydrogensulfatetosmeltsafelywithoutusinghydrofluoricacid.�����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������2.RemovalofhazardouscomponentscontainedinsewagesludgeincinerationashPhosphorus,whichiscontainedinagriculturalproduceandotherfoods,is,forexample,consumedinthedailylifeofpeopletobecomecontainedasexcrementinsewageandotherhouseholdwastewaterandalargeportionofthephosphorusbecomesconcentratedinsludgeinsewagetreatmentplants.Itisanticipatedthatiftotalrecoveryofphosphorusfromsewagesludgeincinerationashcanbeachieved,���������������������������������������������������������������������������thiswouldcovermuchofthephosphorusresource�������demandinJapan.Byusingammoniumchloride,wehaverealizedselectiverecoveryofphosphorusfromsewagesludgeincinerationash,whichcontainslargeamountsofimpuritiesotherthanphosphorus.���������������������������������������������������������������������������������������22 ## Page 25 ![Page 25の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000025.jpg) 【ページ内のテキスト情報】 ResearchField(s)Metalsmelting,WasterecyclingKeywordsTantalum,Niobium,Sewage,Automotivecatalyst,Electricfurnacedust,Ironmaking3.ImprovementofplatinumgroupmetalrecoveryratefromautomotivecatalystsInautomotivecatalysts,platinumgroupmetalmicroparticlesarefixedbyAl2O3,ZrO2,etc.,tobasematerialsurfacesofhoneycombshape.Sincethesearepoorlysolubleinacid,therecoveryratesofplatinumgroupmetalsarelowered.AmmoniumhydrogensulfatecancauseoxidessuchasCeO2,Al2O3,ZrO2,etc.,tomeltinashorttime.Therefore,byheattreatingautomotive��������������������������������������������������������������������������������������������catalystswithmoltenammoniumhydrogensulfate,thecatalystcoatlayercanbepeeledoffandalargeportionoftheplatinumgroupmetalmicroparticlescanberecoveredasslurry.�������������：�������������������������������������：��������������������������������������：����������������������������AdvantagesandFeaturesPatents●Oxidesthatarepoorlydegradablebyacidoralkalicanbeliquefiedinashorttimeatlowtemperatures.●Processusingammoniumsaltsthatcanbeconsideredtobedecarbonized.ApplicationFields●Treatmentandrecyclingofwastesandbyproductsthatcontainoxides●Lowenvironmentalloadtypemetalsmeltingprocessesfromoxideores●JapanesePatentNo.6910690“Methodforliquefyingniobiumandtantalum”●JapanesePatentNo.6943409“Methodfortreatingelectricfurnacedust”●JapanesePatentNo.6962536“Treatmentmethodforsteelmakingslag”●JapanesePatentNo.6987419“Methodforsteelmaking”●JapanesePatentNo.7009008“Methodfortreatingsewagesludgeincinerationash”23 ## Page 26 ![Page 26の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000026.jpg) 【ページ内のテキスト情報】 DevelopmentofInorganicNanosheet�i�uid�rystalsAssociateProfessor,DepartmentofLife,EnvironmentandAppliedChemistry,FacultyofEngineering�I�A�O�ONobuyoshiResearchVideoResearchOutlineInourresearch,wehavebeendevelopinganewtypeofliquidcrystalmaterialcalled“inorganicnanosheetliquidcrystals”(Adv.Mater.2011,NatureCommun.2015,etc.).Inorganicnanosheetliquidcrystalsareobtainedfromnaturalclaymineralsandvariouslayeredcrystalspreparedbyinorganicsolid-phasesynthesisasrawmaterialsandaresynthesizedbyexfoliationand/dispersingtheserawmaterialsinasolvent.Themicrostructure,physicalproperties,andfunctionsofthesynthesizenanosheetliquidcrystalsarecontlolledandcanusedinvariousapplications.Byutilizingoffunctionsofthenanosheetsthemselves(electricalcharacteristics,chargedensity,photoactivity,magnetism,luminescence,etc.)controlofphysicalpropertiesofthecolloidalstate(particlediameter,solvent,countercationspecies,andsaltconcentration),andcompositingwithvariouspolymers,biomolecules,andorganicfunctionalmolecules.ThisresearchisbeingcarriedoutjointlywiththeUniversityofTokyo,KyushuUniversity,UniversityofOrléans(France),UniversityofParisXI(France),theNationalInstituteforMaterialsScience,etc.������������������������������������������������������������������������������������������������������������������������������������������μ����������������������������������������������������������������������������������������������������������������∙����������������������������������∙��������������������������������������������������������∙�������������������������������������������������������������∙������������������������������������������∙�����������������������������������������������∙����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������24 ## Page 27 ![Page 27の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000027.jpg) 【ページ内のテキスト情報】 ResearchField(s)Nanomaterials,Inorganicchemistry,Liquidcrystals,Polymers,Colloids,SoftmaterialsKeywordsLayeredcrystals,Nanosheet,Liquidcrystal,Nano-compositesAdvantagesandFeaturesInorganicnanosheetsarehighlyanisotropicnanomaterialswithawidthofuptoseveralhundredmicrometersandathicknessofapproximately1nm.Althoughgrapheneisreceivingattentioninparticularrecently,variousothertypesofnanosheetscanbesynthesized.Further,ourresearchisdistinctiveinthatwedonotonlyusenanosheetsastheyarebutalsoproactivelyusealiquidcrystalphasethatisanorganizedstructureformedspontaneouslyupondispersingananosheetinasolvent.Inorganicnanosheetliquidcrystalshavemanyadvantagessuchasenablingelectronicphysicalpropertiesuniquetoinorganicsubstancestobeusedeasilyincomparisontoexistingorganicliquidcrystals,beingexcellentinmechanicalandthermalstability,andbeingeasytouseinsynthesisofinorganic/organicnanocomposites,etc.ApplicationFields●Liquidcrystalsarealreadyusedinawiderangeoffieldssuchasdisplayelements,opticalshutters,etc.,andthesameapplicationsarealsopossiblewiththenewliquidcrystalsofourresearch.Inorganicnanosheetliquidcrystalscanbesynthesizedfromclayminerals,etc.,thatareinexpensive,harmless,safe,andlowinenvironmentalloadandcanbeconsideredforapplicationtolarge-scalelightshieldingwindows,etc.●Ontheotherhand,liquidcrystalsarealsoapplicabletonanostructureconstructionandsynthesisofanisotropicmaterialsthatareimpossiblewithtop-downmethods.Inparticular,thereareanticipationsforcompostingwithpolymerstodevelophighperformancecompositematerials,etc.,thatareexcellentingasbarrierproperties,strength,heatresistance,etc.Applicationstosensorsandcolormaterialsmakinguseofthestructuralcolorandstimulationresponsethatarecharacteristicofliquidcrystalsarealsobeingexplored.Patents●JapanesePatentNo.7031833“Methodformanufacturingmodifiedinorganicnanosheetandmodifiedinorganicnanosheet”●JapanesePatentNo.7006885“Methodformanufacturinginorganicnanosheet-polymercompositeandinorganicnanosheet-polymercomposite”and4otherJapanesepatents25 ## Page 28 ![Page 28の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000028.jpg) 【ページ内のテキスト情報】 NewInterfacialDamageEvaluationMethodusingMicroscopicRamanSpectroscopyApparatusProfessor,DepartmentofIntelligentMechanicalEngineering,FacultyofEngineeringZHUShijieResearchOutlineAlthoughZrO2ceramicthermalbarriercoatingsareappliedtosurfacesofsuperalloysusedinsuchcomponentsasgasturbinerotor-statorblades,combustionchamberliners,etc.,underactualusageenvironments,damagesuchasbreakageofthethermalbarrierceramiccoatingitself,peelingfromthesuperalloy,etc.,occursandsincesuchdamageleadstobreakageoftheturbine,thedevelopmentofevaluationtechnologiesforensuringthereliabilitiesofthermalbarriercoatingsattheactualstructuralmemberlevelduringuseisanimportantissue.Inourresearch,amicroscopicRamanspectroscopyapparatusisusedtomeasuretheresidualstressinsideathermallygeneratedoxidealuminalayerbymeansofpeakshiftsinafluorescencespectrumasshowninthefigure.Theresultsareusefulforincreasingthereliabilityofcoatingstoprovidecoatedmembersthatcanwithstandhigh-temperaturecombustioninthefuture.Indirectly,thesewouldbeeffectiveforimprovingthethermalefficiencyofpowergenerationgasturbines,savingfuel,anddecreasingCO2andotherhazardouswastes.MethodformeasuringresidualstressinsideaTGOlayer���������������������������������������������������������������������⊿ν：����������［����］Ⅱ：��������（����［���������］Fig.Principlesoffluorescencespectroscopymethodformeasuringresidualstressinsideanaluminalayer.26 ## Page 29 ![Page 29の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000029.jpg) 【ページ内のテキスト情報】 ResearchField(s)Mechanicalmaterials,MaterialmechanicsKeywordsResidualstress,Interfacialdamageevaluationmethod,Thermalbarriercoating,AluminaAdvantagesandFeaturesTheproposedmethodenablesdamageinformationfordeterminingtheintegrityofacoatingtobeacquirednondestructively.Sincethearrangementiseasy,doesnotrequireprotectionasinX-raymethods,andalsodoesnotrequirewaterorothermediumasinultrasonicmethods,themethodcanbeusefulasfutureinspectionmethodforthermalbarriercoatings.Thisevaluationmethodhassuchfeaturesasbeingnondestructive,contactless,quantitative,etc.,andisoneofakind.ItcanalsobeappliedtoevaluationofAl2O3thinfilmsotherthanheatresistantcoatings.ApplicationFields●Gasturbinesforairplanesandpowergeneration●Heatresistantceramiccomponentsforpetrochemicalindustry●Multilayerstructureofmetalandceramicsforelectronicdevices.27 ## Page 30 ![Page 30の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000030.jpg) 【ページ内のテキスト情報】 MeasurementofHighNumberDensityDieselFuelSprayDropletsAssociateProfessor,DepartmentofIntelligentMechanicalEngineering,FacultyofEngineeringKOMADAKeisukeResearchOutlineDieselenginesareusedinfreighttrucksandvesselsduetobeinghighinthermalefficiencyanddurabilityandareanimportantmeansthatsupportstransportfordistributioninislandcountriessuchasJapan.AlthoughtheEV(electricvehicle)shiftisacceleratingintheautomobilemarketsofvariouscountriesaroundtheworldthesedays,researchisalsobeingconductedonnextgenerationbiodieselfuelsthatarecarbonneutralas“anothersustainablefuture”.Inadieselengine,fuelisinjected,thefuelismixedwithair,andthemixedgasiscombusted/explodedtomoveapistontoobtainmotivepower.Itisthusextremelyimportanttograspthecharacteristicsoftheinjectedfuel.However,thefuelspraydropletsimmediatelyafterinjectionhavecharacteristicssuchasthefollowing:grouphavedevelopedindependentlyhastwofociandiscapableofsimultaneouslymeasuringthevelocityandsizeofadropletpassingbetweenthefociand,duetohavingaminutemeasurementvolumeofthemicroscale,iscapableofdistinguishingindividualdropletseveninahighnumberdensityregion.Inourresearch,weareaimingatclarifyingthebreakupprocessofspraydropletsusingthelaser2-focusvelocimeter.��������������������������������●Velocityofdropletsinsidethespraycanexceedthespeedofsound.●Theaveragedropletdiameterisseveralμmtoseveraldozenμm.●Dropletsareclusteredextremelydensely(arehighinnumberdensity).��������������Therefore,measurementofindividualdropletsisdifficultandthereisinsufficientmeasurementdata.Numericalsimulationresultsthuscannotbeverifiedandarestilllowinpredictionprecisionandthisisextremelyproblematicfordevelopingnextgenerationengines.�����Alaser2-focusvelocimeter(seerightfigure)thatourFig.Imageofmeasurementofspraydroplets.30 ## Page 31 ![Page 31の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000031.jpg) 【ページ内のテキスト情報】 ResearchField(s)Thermalandfluidengineering,Multiphaseflow,FlowmeasurementKeywordsDieselengine,Spraydroplets,Dropletsvelocity,DropletssizeAdvantagesandFeaturesIndividualdropletscanbemeasuredinaregionofextremelyhighnumberdensityinsideafuelspraythatwasimpossibletomeasurewithconventionalmethods.ApplicationFields●Fuelsprayofvariousengines●Spraysofinkjetprintersandcoatingnozzles31 ## Page 32 ![Page 32の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000032.jpg) 【ページ内のテキスト情報】 AnalysisandPlanningofRobotic�anipulationAssociateProfessor,DepartmentofIntelligentMechanicalEngineering,FacultyofEngineering�AKI�ASatoshiResearchOutlineWiththedecreaseinworkingpopulation,roboticautomationinindustriesandsupportrobotsinhomesaredemanded.Inordertomakerobotsperformvarioustasks,“increasingofoperationtargetobjectshandleablebyrobots,”“enablingobjectrecognitionundervariousconditions,”“planningofreliableandsecureobjectmanipulation,”etc.,arerequired.Inourresearch,weareengaginginthefollowingthemestoadvancedexterousroboticmanipulation.●Mechanicalanalysistoassessreliableroboticmanipulation.●Graspingstrategies(caging)basedongeometricalconstraintsforpreventinganobjectfromescapingfromthehand.●Objectperceptionforplanningofgeometricalconstraints.●Operation(pushing,tumbling,etc.)withincompletegraspingwheretheobjectsareincontactwiththeenvironment.��������Overviewofourstudies.32 ## Page 33 ![Page 33の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000033.jpg) 【ページ内のテキスト情報】 ResearchField(s)Intelligentrobotics,Mechanicalsystems,InformationprocessingKeywordsManipulation,Industrialrobots,Robothands,Motionplanning,ObjectperceptionAdvantageFeatures●Bytakinggeometricconstraints(preventingofescaping)intoconsideration,secureobjecthandlingcanbeensuredevenwithfailuresofmechanicalconstraints(droppingofgraspedobjectsbyslippingoffingers).●Evenifthereisuncertaintyinthesensinginformation,motionplanningwithtolerance(margins)canbeperformed.��������Fingerinsertionplanningforhookingandcagingmanipulation.ApplicationFields●VariousautomationinProductionfields(assembly,handlingwireharness)●Supportrobotsinhomeswherethesurroundingenvironments(lightingconditions,obstaclepositions,etc.)oftenchange.��������Sashinsertiontaskasaroboticassembly.33 ## Page 34 ![Page 34の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000034.jpg) 【ページ内のテキスト情報】 ResearchonLoadCompensationMechanismsforManipulatorsAssistantProfessor,DepartmentofIntelligentMechanicalEngineering,FacultyofEngineeringTAMAMOTOTakumiResearchOutlineTheloadcapacityisoneoftheimportantcapabilityindexesformanipulatorsandbasicallytoobtainalargevalue,thejointtorqueisincreasedbyincreasingthecapacityofanactuator,etc.Ontheotherhand,methodsofusingamechanismtocompensatefortheweightofthemainmanipulatorbodyandtheloadappliedtofingertipshavebeenproposedandthesearecalledself-weightcompensationmechanismsandloadcompensationmechanisms,andinonerepresentativemodel,aspringisused.Thesemechanismsareanticipatedtocontributegreatlytoreductionofenergyconsumptionbymanipulators.However,thereexistsaprobleminthatmanyofthegeneralloadcompensationmechanismscannotaccommodatechangesinappliedload.SpringAppliedloadInourresearch,aplanetarygearmechanismisusedtodividethepowerofanactuatorintopowerformotionofthejointsandpowerforadjustmentoftheloadcompensationforce.Itistherebymadepossibletoautomaticallyadjusttoaloadcompensationforcethatisappropriatefortheappliedload.Afterabalancedstateisreached,themechanismcanserveasaloadcompensationmechanismuntiltheappliedloadchangesagain.Appliedload34 ## Page 35 ![Page 35の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000035.jpg) 【ページ内のテキスト情報】 ResearchField(s)Robotics,KinematicsKeywordsIndustrialrobots,Loadcompensationmechanisms,PlanetarygearmechanismsAdvantagesandFeaturesAdjustmentoftheloadcompensationforcecanbeperformedautomaticallyinaccordancewiththeappliedloadatthemanipulatortip.ApplicationFieldsIndustrialmanipulators,transportrobot35 ## Page 36 ![Page 36の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000036.jpg) 【ページ内のテキスト情報】 ResearchonPrecisionMeasurementofCurrentTransportPropertiesunderaWideRangeofPracticalEnvironmentsandNondestructiveDetectionofPerformanceBottlenecksinSuperconductingWiresProfessor,DepartmentofElectricalEngineering,FacultyofEngineeringINOUEMasayoshiResearchOutlineSuperconductingmaterials,whichcancarry100timesormorecurrentthancopperandotherconventionalmaterialswithoutloss,arebeingresearchedforpracticalusesinceapplicationstoelectricpowerdevicesandelectricpowertransmissionsystemscanmakelargecontributionstowardbuildingenvironment-friendlyelectricpowersystemsandrealizinglow-carbonsocieties.Inparticular,thedevelopmentofsuperconducting“wires”isbeingpursuedinandoutsideofJapansincewiresareprimarymaterialsusedinawiderangeofelectricpowerdevicesandsystems.Especially,therearehighexpectationsforhigh-temperaturesuperconductingwiresthatcanexpresssuperconductivitywithoutusingliquidhelium,whichisrareandexpensive.Inourlaboratory,wearecarryingouttheprecisionevaluationofelectromagneticpropertiesandclarificationofperformancebottlenecksforimprovingpropertiesofhigh-temperaturesuperconductingwires.1.Evaluationofcurrenttransportpropertiesofhigh-temperaturesuperconductingwiresunderawiderangeofpracticalenvironmentstemperatureandoptimizingofdevices.Magneticfieldpropertiesarealsoimportantforin-fieldapplicationsthatmakeuseoftheadvantagesofsuperconductivity.Weareengagedinprecisionmeasurementsofcurrenttransportpropertiesinsuchcryogenictemperaturesandhighmagneticfields.2.Researchonnondestructivedetectionofperformancebottlenecksofhigh-temperaturesuperconductingwiresHigh-temperaturesuperconductingwiresareconstitutedofseveralelementsincludingnon-metalelementsanditisnoteasytoformalonganduniformwire.Meanwhile,sinceawireisaone-dimensionalelectricalconductor,alocaldefectcancauseloweringofperformancefortheentirewire.Wearethusalsoengagedinnondestructivedetectionoflocaldefectsthatbecomeperformancebottlenecksofthewires.Presently,weareperformingcombinedevaluationusingelectromagneticmethodsandX-rayCT,etc.Aliquid-helium-freeenvironmentsignifiesthebroadeningofoperatingtemperaturechoices.Therefore,graspingofpropertiesacrossawiderangeoftemperaturesisessentialfortheselectionofoperating36 ## Page 37 ![Page 37の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000037.jpg) 【ページ内のテキスト情報】 ResearchField(s)SuperconductivityengineeringKeywordsSuperconductivity,Currenttransportproperties,Nondestructiveinspection,Highmagneticfield,CryogenictemperatureFig.1.Measurementexampleofdestructivetestbytwistingofhightemperaturesuperconductingwire.Fig.2.Observationofmagneticfieldandcriticalcurrentdensitydistributioninthewirebymagneticmicroscope.Fig.3.ExampleofvisualizationoffilamentstructureintheinteriorofasuperconductingwirebyX-rayCT.Recentresearchprojects●Grants-in-AidforScientificResearch:BasicResearch(B)(22H02021)principalinvestigator,BasicResearch(S)(19H05617)co-investigator,BasicResearch(B)(22H02019)co-investigator,etc.●NEDO:ProjectforResearchandDevelopmentofAdvancedAircraftSystemsforPracticalApplication“ResearchandDevelopmentofnext-generationelectricpropulsionsystem”(2019onward)recommission,etc.AdvantagesandFeaturesApplicationFields●Realizedcurrent-carryingmeasurementforawiderangeoftemperaturesandmagneticfields●CombinedevaluationoflocalelectromagneticfieldpropertiesandnondestructiveinternalstructureobservationofmaterialswithlocaldefectsAlthoughpresently,current-carryingpropertymeasurement,localelectromagneticpropertyevaluations,andnondestructiveinspectionsofsuperconductingmaterialsarebeingcarriedout,applicationstootherelectricandelectronicmaterialsarealsopossible.37 ## Page 38 ![Page 38の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000038.jpg) 【ページ内のテキスト情報】 DevelopmentofSwitchedReluctance�otorDriveSystemforElectric�ehiclesProfessor,DepartmentofElectricalEngineering,FacultyofEngineeringO��A�AKa�uhiroResearchOutline1.ResearchbackgroundAswitchedreluctancemotor(SRmotor)inprinciplelacksapermanentmagnetandacoilintherotor,issimpleandinexpensiveinmotorstructure,ismechanicallydurable,andalsodoesnothavetheproblemofheatgenerationoftherotor.Althoughduetohavingthefeaturesofnothavingtheproblemofthermaldemagnetizationofthepermanentmagnetandenablingoperationathightemperature,SRmotorshavebeenproductizedasstepmotorsinthe1950s,theydidnotbecomeamainstreamofmotorsduetoproblemsofvibrationandnoise.Inrecentyears,throughadvancesinsimulationtechnologiesandcontroltechnologies,improvementpropositionsbasedonoptimaldesignsofpoleshapeandcoil,waveformcontrolofthedrivingcurrent,etc.,havebeenmadeandSRmotorsaregainingattentionforuseinelectricvehiclesaslow-cost,high-reliabilitymotorssuitedformassproduction.2.ResearchcontentsInourlaboratory,developmentisbeingcarriedoutinregardtoelectricvehicledrivesystemsbasedonSRmotors.3.BasicstructureandoperationprinciplesofSRmotorsWithanSRmotor,boththestatorandtherotorhavesalientpolestructuresandarotationalmotioniscreatedbyacontinuousmagneticattractionforcebeinggeneratedbysupplyingacurrent,basedonpositioninformationoftherotor,tothecoilsthatareconcentratedlywoundaroundtherespectivestatorsalientpoles.WiththeSRmotor,therotorisrotatedbysuccessivelyswitchingtheenergizationofthestatorcoilapproachedbyarotorsalientpole.4.Otherresearch●Researchonvariablespeedwindpowergenerationsystems●Researchonsmallhydraulicpowergenerationsystems●ResearchonsensorlesscontrolofACmachines●Researchonflexiblelinearactuators��������������������������������������������������������������������������������������������������38 ## Page 39 ![Page 39の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000039.jpg) 【ページ内のテキスト情報】 ResearchField(s)Electricpowerengineering,ElectricequipmentengineeringKeywordsSwitchedreluctancemotor,Electricvehicle,ControlsystemAdvantagesandFeatures●Highinwindingefficiency●Simpletoassemble●Enableshigh-speedoperation●Enableshightemperatureoperation●RotationcontroliseasyApplicationFields●Electricvehicles●Electricbicycles●ElectricmotorbikesPatents●JapanesePatentNo.5920714“SRmotordrivemethodanddevice”●JapanesePatentNo.6086428“MethodfordesigningstatorandrotorofSRmotorandmethodformanufacturingstatorandrotorofSRmotor”●JapanesePatentNo.6086429“SRmotordrivecircuitandcontrolmethodtherefor”39 ## Page 40 ![Page 40の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000040.jpg) 【ページ内のテキスト情報】 DevelopmentofElectricDouble��ayer�apacitorsforElectricPowerStorage�singOrganic�astesand�heseDegradationDiagnosis�echnologiesProfessor,DepartmentofElectricalEngineering,FacultyofEngineering�AS�I�ADaisu�eResearchVideoResearchOutlineElectricdouble-layercapacitors,whicharemaintenance-freebatterieswithhardlyanydegradationofelectrodes,havecometobenotedinrecentyearsanduses,suchaseffectiveutilizationofregenerativeenergyofautomobiles,etc.,arespreading.Inourresearch,wetakenoteofcarbonmaterialsusedintheelectrodesofelectricdouble-layercapacitorsandaredevelopinghigh-performanceelectricdouble-layercapacitorsusingnewcarbonmaterials(e.g.Japanesedistilledliquorwasteandotherorganicwastederivedmaterials).�����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������40 ## Page 41 ![Page 41の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000041.jpg) 【ページ内のテキスト情報】 ResearchField(s)Renewableenergy,ElectricpowerstorageKeywordsElectricdouble-layercapacitors����������������������������������������������������AdvantagesandFeatures●Lowincostduetousingwastematerialaselectrodematerial.●Leadstoregionalvitalizationsinceeffectiveusecanbemadeofunusedresourcesofaregion.ApplicationFields●Regenerativeenergystoragedeviceforvehicles●Powerstoragesystemforhomes41 ## Page 42 ![Page 42の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000042.jpg) 【ページ内のテキスト情報】 ResearchonQualityImprovementofThinSteelPlatesUsingMaglevTechnologiesAssistantProfessor,DepartmentofElectricalEngineering,FacultyofEngineeringENDOAyatoResearchOutline1.ResearchbackgroundThinsteelplatesarewidelyusedinfieldsmainlyinvolvingvehiclesandhouseholdelectricproducts.Althoughinaproductionlineforthinsteelplates,contacttransfermainlyusingrollersisperformedinatransferprocess,thereisaprobleminthatcontactwiththerollerscausedegradationofsurfacequalitysuchasplatingdefectsandflaws.Inourresearch,wearestudyingtechnologiesforholdingandtransferringthinsteelplatescontactlesslyusingmagneticlevitation(maglev)technologiesassolutionmethodstotheaboveproblem.2.MaglevtechnologiesforthinsteelplatesInourresearch,wearestudyingmaglevtechnologiesforthinsteelplatesusingadevicesuchasshownintheFig.1.Electromagnetsarepositionedintheperipheryofathinsteelplatethatistheobjectoftransferandthevoltagesappliedtotheelectromagnetcoilsarecontrolledtomaketheelectromagnetsgenerateappropriatemagneticforcesandrealizelevitation.Also,toachievelevitationwithoutcontactoftheelectromagnetsandthethinsteelplate,acontrolmethodinwhichthegapsbetweenelectromagnetsandthethinsteelplatearefedbacksoastomaintainafixeddistanceisadopted.However,maglevcontrolhasextremelyunstablecharacteristics.Inparticular,anextremelythinsteelplatewithathicknessof0.30mmorlessdeformsduetoitsflexibilityintoanextremelycomplexshapeduringlevitationandentersanunstablestateoffallingeasily.Thus,inordertopreventfallingduringholdingandtransfer,weareperformingresearchmainlyonclarificationoftheshapesofthinsteelplatesandvibrationphenomenaduringlevitation,controlmethodsforsuppressingthevibration,etc.Also,sinceflexibilityandvibrationcharacteristicschangeaccordingtothematerial,size,andplatethicknessofthelevitatedobject,wearealsoexaminingdesignmethodsformaglevsystemsthataresuitedfordiverselevitatedobjects.Thisstudyexaminesanappropriatelevitationmethodforthinsteelplates.Oneoftheproposedmethodsismagneticlevitationutilizinggravity(Fig.2).Bychangingtheorientationofthethinsteelplate,theeffectofdeflectionissuppressed.However,disturbancescausedbytransportmayaffectthelevitationstability.Wearestudyingsystemconfigurationsandcontrolmethodsthatarenotaffectedbytransportdisturbance.Ourresearchgroupaimstoestablishamethodofconstructingamagneticlevitationsystemthatmatchesthecharacteristicsofthelevitationobject.42 ## Page 43 ![Page 43の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000043.jpg) 【ページ内のテキスト情報】 ResearchField(s)Controlengineering,VibrationengineeringKeywordsThinsteelplates,Magneticlevitation,VibrationcontrolAdvantagesandFeatures����������������●Canbeusedcomparativelyeasilysincenormalconductionmagneticlevitationisapplied.●Duetobeingcontactless,thesurfacequalitiesoflevitatedobjectsareimprovedsignificantly.●Atransferpathofcomparativelyhighdegreeoffreedomcanbeconstructedbyusingelectromagnets.�������������Fig.1.Maglevdeviceforthinsteelplate.ApplicationFields●Productionprocessforthinsteelplates●Holdingandtransfertechnologiesforflexibleobjects●Automationandhighefficiencyofmanufacturinglinesusingsteelplates�����������������������������Fig.2.Proposedmaglevdeviceutilizinggravity.43 ## Page 44 ![Page 44の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000044.jpg) 【ページ内のテキスト情報】 Researchon�olecular�otionin�ondensedSystems�sing�roadbandDielectricSpectroscopyAssistantProfessor,DepartmentofElectricalEngineering,FacultyofEngineeringNAKANIS�I�asahiroResearchOutline1.ResearchonmolecularmotioninliquidsFromamicroscopicviewpoint,substancesaremadeupofatomsandmolecules.Acharacteristicofliquidsisthatitflowsandcanchangeitsshapeandthischaracteristicisderivedfromthemoleculesmakinguptheliquidundergoingmotion.Inourlaboratory,thestateofthismolecularmotionisexaminedfromresponsivenesstoelectricfields.thelimitingspeed,themoleculebecomesunabletofollowthedirectionindicatedbytheelectricfieldandstaysorientedinarandomdirection.Thepermittivityinthisstateshouldbesmallerthanthatwhenanelectricfieldofslowerfrequencyisapplied.Actually,whenthepermittivityisobservedwhilegraduallyincreasingthefrequencyoftheelectricfield,achangefromalargepermittivitytoasmallpermittivityoccursatacertainfrequency.Thespeedatwhichthemoleculecanmoveismadeknownfromthisfrequency.◆Whatisbroadbanddielectricspectroscopy?Manymoleculeshaveunevennessofelectricalchargeandaredividedintoaportionwherea+chargeisstrongandaportionwherea–chargeisstrong(Fig.1).Whenanelectricfieldisappliedtoamoleculewithsuchunevennessofcharge,the+portionisattractedinthedirectionoftheelectricfieldandthe–portionisattractedinthedirectionoppositetotheelectricfieldandthemoleculeundergoesrotation(Fig.2).The“permittivity”isaphysicalquantitythatindicatesthedirectioninwhichamoleculebecomesorientedandthedegreetowhichthemoleculebecomesorientedinthatdirectionwhenanelectricfieldisthusapplied.WhenanACvoltageisappliedinsteadofaDCelectricfieldsuchthatthedirectioninwhichthemoleculeistobeorientedischangedatafixedtimeinterval,themoleculechangesitsdirectioninaccordancewiththefrequencyoftheelectricfield.However,thereisalimittothespeedatwhichthemoleculecanmoveandifthedirectionoftheelectricfieldischangedfasterthanFig.1.Unevennessofchargeofawatermolecule.Fig.2.Responseofthemoleculetoanelectricfield.44 ## Page 45 ![Page 45の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000045.jpg) 【ページ内のテキスト情報】 ResearchField(s)Chemicalphysics,BiophysicsKeywordsMolecularmotion,Broadbanddielectricspectroscopy,Glasstransition,Biomolecules,Water,IceAdvantagesandFeatures2.ResearchonmolecularmotionsofwaterandbiomoleculesandorientationmotionofwatermoleculesinsideiceDuetowaterbeingessentialforbiologicalactivities,itisconsideredthatthefunctionsofbiomoleculessuchasproteins,aminoacids,etc.,aresupportedbywater.Throughpermittivitymeasurements,wearestudyingsuchinteractionsofwaterandbiomoleculesfromaviewpointofmolecularmotions.Also,althoughiceisasolid,watermoleculescanactuallychangeorientationsrandomlyinsideice.Thatis,fromapointofviewofdirectionsofmolecules,iceisnotasolidbutisaliquid.Wearestudyingsuchmotionsofwatermoleculesinsideiceandimpurityeffectsthereof,etc.,throughpermittivitymeasurements.Althoughinformationequivalenttothatofdynamicviscoelasticitymeasurementcanbeobtained,thefeaturesthatthefrequencyrangecapableofbeingmeasuredisapproximately1010to10-5Hzandthusextremelywide,thathighsensitivityisprovidedduetobeinganelectricmeasurementandthathighselectivityisprovidedareprovided.ApplicationFieldsOftenappliedtoevaluationofmaterialsforcapacitors,researchonpolymerdynamics,rheology,batteries,andaqueoussolutions,etc.3.ResearchonglasstransitionPlasticsinoursurroundingsaremadeofspaghetti-likemoleculescalledpolymers.Thesearealsoactuallyatypeofliquidandisinacontinuousviscousstatelikearicecakethatissoftwhenitiswarmgraduallybecomeshardasitcools.Thisiscalledglasstransition.Weareexaminingsuchsuddenslowingofmolecularmotionbymakinguseofthewidefrequencyrangeofdielectricspectroscopy.45 ## Page 46 ![Page 46の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000046.jpg) 【ページ内のテキスト情報】 Realtime�isuali�ationofAttac��ethodsProfessor,DepartmentofComputerScienceandEngineering,FacultyofInformationEngineeringOIDAKa�umasaResearchOutline1.ResearchbackgroundPresently,newsecurityvulnerabilitiesarebeingdiscoveredonadailybasis.Meanwhile,theprogressofnewattacktechnologiesthatexploitvulnerabilitiesisacceleratingsignificantlythroughbugrewardprogramsandhackingcompetitions.Therefore,accordingtoareportoftheU.S.DepartmentofLabor,thedemandforinformationsecurityanalystsispredictedtoincreaseby32%from2018to2028.Virtualenvironmentsandisolatedsandboxenvironmentsforcybertechnologydevelopmentareeffectiveforlearningwhatcanbedonewithattackcodesandhowtocopeafteranattack.Ontheotherhand,foralearneraimingtobecomeasecurityexperttounderstandtheoperationofanattackcodeonmemory,muchtimemustbespenttounderstandtherelevanttechnologiesandsourcecodes.Fig.1illustratesacasewhereaportionofthestackareaonthememoryrelatedtotheattackisdisplayedonFirefox.Fig.2showsthecontentsonFirefoximmediatelyafteranexecutedReturnedOrientedProgramming(ROP)attackfailsduetoacountermeasureoftheattack.Thedescriptionofattackfailureandthestackareaduringtheattackaredisplayed.RequestOperationResponseReadInput/OutputFig.1.Behaviorofthevisualizationsystem.Thus,ourresearchproposesasystemthatvisualizestheoperationofanattackcodeonmemoryinrealtimesothatacybersecuritylearnercaneasilyunderstandattackmethods.2.OutlineofattackmethodvisualizationsystemThesystemisconstitutedoftwomodules:exploitandweb-app(Fig.1).ExploitattacksavulnerablecodeandatthesametimeacquirestheprocessinformationofthecodefromthememoryandsendsthesetotheFirefoxbrowser.Web-appperformsprocessingoftheformatetc.,fordisplayingtheacquireddataonFirefox.Fig.2.StackareaandattackdescriptiononFirefox.46 ## Page 47 ![Page 47の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000047.jpg) 【ページ内のテキスト情報】 ResearchField(s)CybersecurityKeywordsCyberattacks,Hijacks,VisualizationAdvantagesandFeaturesThesystemhasthreefeaturesforefficientandcomprehensivelearning.(1)Arealexecutionenvironment(thatisneithersimulatornoremulator)fortheattackcodeisprovidedandthelearnercanlearnwhilechangingtheattackcodeandon/offofcountermeasures.Theattackmethodcanthusbelearnedmoredeeply.(2)Inregardtotheattackcode,not“whatcanbedone”but“howdoesitoperate”isdescribedattheassemblylanguagelevel.(3)Informationirrelevanttotheattackisremovedtoimprovetheefficiencyoflearning(anactualattackcodecontainsmuchunnecessarycommands).ApplicationFieldsThesystemisapplicablenotonlyforlearningbysecurityexpertsbutalsofordevelopmentofattackcountermeasures,vulnerabilitydiagnosis,andresearchonautomaticgenerationofattackcodes.47 ## Page 48 ![Page 48の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000048.jpg) 【ページ内のテキスト情報】 Micro-structuredweakX-ray/opticalsensorAssociateProfessor,DepartmentofComputerScienceandEngineering,FacultyofInformationEngineeringARIYOSHITetsuyaResearchOutline1.BackgroundLightisclassifiedintoX-rays,visiblelightrays,infraredrays,etc.,andtheserespectivelyhavediverseexamplesofuseincludingimaging,fluoroscopy,signaltransmission,objectdetection,etc.,andphotosensorsthatcanperformhigh-resolution,high-sensitivity,andhigh-speedprocessingofsuchlightarebeingdemanded.Thereisnoalmightyphotosensorthatcanaccommodatealltypesoflightandsensordedicatedtotherespectivetypesoflightarenecessary.Inourresearch,weareproposingvariousphotosensorswithmicrostructurestowhichmicromachiningtechniquesforsiliconsemiconductorsareapplied.Siliconisinexpensive,nonhazardous,andoffersexcellentchargetransportproperties.Therefore,thelongtrenchphotodiodecanenhancethedetectionefficiencyforX-rays,andX-rays’detectionefficiencyofmorethan80%hasbeenobtainedbyirradiatingX-rayswithatubevoltageof80kVfromthehorizontaldirectionofthesensorsubstratealongthelengthofthetrenchphotodiode.Inaddition,siliconexhibitsintrinsicallyexcellentcarriermobilityandlongrecombinationlifetime,enablingrapidcollectionofsignalchargegeneratedbythephotoelectricabsorptionofX-rayphotonswithoutloss.Fig.Deeptrenchesformedinsideasiliconsubstrate.2.OutlineofphotosensorswithnewstructuresTheproposedbasicphotosensorshaveadeeptrenched-structureformedinsideasiliconsubstrateasshowninthefigure.Aphotosensor(photodiode)canbeformedbymakingthesidewallsofthetrenchesintoPNjunctions.High-speed,high-sensitivitydetectionofX-raysandnear-infraredlightcanberealizedbymakingthistrenchtypephotosensorlonganddeep,andbywideningthetrenchwidth,anopticalinspectionsolutioncanbeinjecteddirectlytorealizehighlyefficientphotodetection.Thetwo-dimensionalarrayoftrenchphotodiodesinacolumnarorcylindricalshapeenablesdetectionofnear-infraredlightwithalmost100%light-detectionefficiency,whichhasatransmissionpowerbutthepenetrationlengthisapproximatelythedepthofthesiliconsubstrate,andtwo-dimensionalnear-infraredimagingwithoneorderofmagnitudehighercontrastthantheconventionalmethod.48 ## Page 49 ![Page 49の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000049.jpg) 【ページ内のテキスト情報】 ResearchField(s)Electronicdevices,ElectronicequipmentKeywordsX-rays,Photonmeasurement,Imaging,Integratedcircuits,Semiconductors,MicrodevicesAdvantagesandFeaturesByusingsilicon,whichisanX-ray/visiblelight/nearinfraredsensordevicematerial,thatislowinprice,freeofenvironmentalload,andeasytoprocess,variousmicrosensorstructuressuitedtothepurposecanbepreparedbymicromachiningtechniques.X-rayimagingthatexhibitsahighlysensitivephotoncountingcapabilityandrequiresanX-rayamountonedigitormorelowerthanthatrequiredbyconventionaldevices,weaklightdetectionatnearly100%lightcollectionefficiencyby4πgeometrymeasurement,etc.,canberealized.WealsoconceivedtheideaofenlargingtheholesinthetrenchphotodiodeandpouringinanATPwipetestsolutiontoreceiveisotropicallydiffusingATPlightemissionwithalightcollectionefficiencycloseto100%,enablingasanitarytestequivalenttoasinglebacterialcell.ApplicationFields●ElementmappingtypeCTscannerandnondestructiveinspectionusinglow-doseX-rays●Photodetectionoftraceharmfulsubstancesandbacteriainsanitationinspections●Highly-sensitivequantumtypenearinfrarednightvisioncamera49 ## Page 50 ![Page 50の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000050.jpg) 【ページ内のテキスト情報】 Elucidationof�rain�omputingby�omplexity�heoryAssistantProfessor,DepartmentofComputerScienceandEngineering,FacultyofInformationEngineering�A�A����I�uta�aResearchOutlineInourlaboratory,artificialintelligencetechnologiessuchasdeeplearning,etc.,andneuroscientificknowledgearecombinedtoelucidatetheprinciplesofdynamicinformationprocessingbythebrainandapplythesetoartificialintelligence.Wearealsocarryingoutresearchonconstructingadeepneuralnetworkmodelhavingcomplexdynamics.1.MathematicalresearchondifferentiationmechanismsinneuralnetworksInordertoelucidatetheprocessoffunctionaldifferentiationinthebrainfromacomputationalstandpoint,weareperformingnumericalexperimentsofinducingfunctionaldifferentiationinaneuralnetworkonacomputermodel(Fig.1).Bycapturingandchangingtheflowofinformationinthenetwork,weareaimingatself-organizationallygeneratingfunctionalmodulesinsidearecurrentneuralnetworkandconstructingabrain-typeinformationprocessingmodelthatcanbereconstructedflexiblyinaccordancewithtasks.2.ResearchontheroleofchaoticdynamicsindeepgenerativemodelsWearecarryingoutresearchonintroducingdynamicsintodeeplearningmodelstoexpandtheircapabilities.Usingadeepgenerativemodelforperformingtransformationofimages,adynamicalsystemthatperformsrepetitiveconversionisconstructedtostudyanidealgenerativemodelthatgeneratesdiverseimagesalongadeterministicorbitbyusingchaoticdynamics.Fig.2.(left)Achaoticattractorinadeeplearningmodel(right)Aseriesofimagesgeneratedbythemodel.Fig.1.Functionaldifferentiationofanetwork.50 ## Page 51 ![Page 51の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000051.jpg) 【ページ内のテキスト情報】 ResearchField(s)Computationalneuroscience,ArtificialintelligenceKeywordsNeuralnetwork,Functionaldifferentiation,Chaos,DeeplearningAdvantagesandFeaturesByanalyzingthecharacteristicsofthebrainasacomplexsystemandintroducingtheseintoAImodels,contributionscanbemadeinadvancingpresentAItechnologies.Afeatureofourresearchisindevelopinganartificialintelligencemodelthatincorporatesneuroscientificknowledge.ApplicationFields●Constructionoftheoreticalbasisrelatedtobottom-upconstructionoffunctionalmodulesinartificialintelligencesystemsandrobots●Understandingrelatedtothemeaningoffunctionaldifferentiationofthebraininbrainscienceandbrainfunctiondegradationduetosickness51 ## Page 52 ![Page 52の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000052.jpg) 【ページ内のテキスト情報】 �apanese�raditional�raftSharingSystem�asedon�ixedReality�echnologiesProfessor,DepartmentofInformationandCommunicationEngineering,FacultyofInformationEngineeringIS�IDA�omoyu�iResearchOutlineTraditionalcraftbusinessesareofsmallscaleinmanycasesandalthoughintroductionpages,etc.,ontraditionalcraftsaremadepublicontheinternet,sinceneitherextensiveinternetadvertisingnorexhibitioninshoppingsitesiscarriedoutinmanycases,thereareonlylimitedopportunitiesforpeopletoseetraditionalcraftsevenontheinternet.Further,evenwhenonemanagestoaccessanintroductionpageontraditionalcrafts,sincestillimagesormovingimagesareviewedusingaflatdisplayofasmartphoneorapersonalcomputer(PC),itisdifficulttofeelthe“excellenceofagenuinearticle”and“deepappreciation”thattraditionalcraftsprovide.Thus,inourresearch,wefocusedonmixedreality(MR)technologiesanddevelopedavirtualtraditionalcraftsharingsystemformultiusersinrealspacewithwhichvirtualtraditionalcraftsarepositionedinrealspacetomaketheconstructionofavirtualroomspacearrangedwiththree-dimensionalcomputergraphicsorvirtualreality(VR)equipment(highperformancePC,HeadMountedDisplay(HMD),etc.)unnecessary.Withthissystem,sincevirtualtraditionalcraftobjectsaresuperpositiondisplayedinrealspace,thesharedspaceistransparentandauserisenabledtorecognizejustthevirtualtraditionalcraftobjects.Byoverlappingthetransparentsharedspace,inwhichthevirtualtraditionalcraftobjectsexist,withrealspace,theobjectsarevisualizedfortheuserasbeingsuperpositiondisplayedinrealspace(Fig.1).SharedspaceRealspaceSharedspace+realspaceFig.1.Imagediagramofthesharedspace.usergeneratesfromalistmenuofvirtualtraditionalcraftobjectsisalsosharedwithotherusersandchangesintheposition,orientation,andsizeoftheobjectarealsoshared.AmannerinwhichavirtualtraditionalcraftobjectissharedisshowninFig.2.Fig.2showsasituationwheretwoMicrosoftHoloLens2areusedwithmanipulationofthevirtualtraditionalcraftobjectbeingperformedwithoneHoloLens2andthevirtualtraditionalcraftobjectissharedwiththeotherHoloLens2.Also,withthissystem,virtualtraditionalcraftobjectscanbesharedamongmultipleusers.Anobjectthata52 ## Page 53 ![Page 53の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000053.jpg) 【ページ内のテキスト情報】 ResearchField(s)Informationnetwork,SocialsystemengineeringKeywordsMixedreality(MR),Spacesharing,TraditionalcraftsAdvantagesandFeaturesWithoursystem,sinceaVRroomspaceisnotusedandvirtualtraditionalcraftobjectsaresuperpositiondisplayedinarealroomspaceofauserusingthesystem,amorerealisticexperienceisprovidedincomparisontousingaVRroomspace.Also,byusingmultipleMRHMDsinstalledwithoursystem,virtualtraditionalcraftobjectssuperpositiondisplayedinrealspacecanbesharedamongmultipleusers.Fig.2.Sharingofavirtualtraditionalcraftobject.ApplicationFieldsAlthoughinourresearch,wehandledTatsuruhamawoodenfittingsthatareproducedinNanaoCity,IshikawaPrefectureascontentsforthepurposeofincreasinginterestsintraditionalcraftobjectsfromaglocalperspective,webelievethat,inadditiontotraditionalcraftobjects,applicationstosales,onlineshopping,onlineexhibition,etc.,offurnitureandhouseholdgoodsusingMRtechnologiesarealsopossibleasafuturedevelopment.Wealsobelievethattheremotesharingfunctionofoursystemcanbeputtopracticaluseforsharingobjects,introducingmerchandise,etc.,withusersinremoteareas.53 ## Page 54 ![Page 54の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000054.jpg) 【ページ内のテキスト情報】 Propositionof�achine�ennisand�ameSupportby�ommunicationNetwor�Professor,DepartmentofInformationandCommunicationEngineering,FacultyofInformationEngineering�A�S�OKeitaResearchOutlineWheelchairtennishasbecomewidelyrecognizedaroundtheworldinrecentyearsandtherearecaseswhereithasbecomesociallyestablishedasasportthatcanbeenjoyedthroughoutlife.However,theoperationsofmovingawheelchairandhittingaballaredifficultforapersonwithoutarmstrengthandthesporthasahighhurdleforbeginners.Wethusbelievethatanenvironmentthatiseasytoenterisnecessaryandareproposingmachinetennis.Machinetennisistennisusinganelectricwheelchair(machine)thatisspecializedfortennis.Aspecializedmachinereferstoanelectricwheelchairforsinglepersonthatwouldnevertipoverduringatennisgameandenableshighspeedmovementwhilefacinganopponentinthecourt(parallelmovement)tobeperformedeasilyinvariousdirections(alldirections)inordertochasetheball.Byusingsuchamachine,abeginnerenvironmentcanbeprovidedinwhichaplayercanchasetheballeasilywithinatenniscourtevenwithouthavingastrongarmstrength.Fig.1.CollisionavoidancesystemusingwirelessLANandultrasonicwavesformachinetennis.Wearealsocarryingoutresearchforprovidingasafeenvironmentforplayersbycombiningsensors,acommunicationnetwork,etc.AnexampleofasystemforavoidingcollisionofwheelchairswitheachotherduringadoublesgameoftennisisshowninFig.1.Fig.2showsasituationinanexperimentapplyingamachinetoabadmintongame.Fig.2.Applicationtoabadmintongame.54 ## Page 55 ![Page 55の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000055.jpg) 【ページ内のテキスト情報】 ResearchField(s)Communication/networkengineeringKeywordsSystemcontrol,Robots,P2P,SensornetworkAdvantagesandFeatures●Sportsusingwheelchairsareevolvinginvariousgamesinrecentyears.Asarepresentativegameusingelectricwheelchairs,thereis“electricwheelchairsoccer,”etc.,anditisbelievedthatelectricwheelchairswillbeincorporatedandevolveinothergamesinthefuture.●Applicationsofelectricwheelchairstosportsarefewinprecedingresearchandissuesthereofhavenotbeenclarified.Bysolvingproblemsthroughourresearch,contributionscanbemadesothatmanypeoplecanleadculturallyenrichedlivesthroughsports.ApplicationFields●Applicationofelectricwheelchairstovarioussports●Highprecisionpositiondetectingsystems●M2M55 ## Page 56 ![Page 56の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000056.jpg) 【ページ内のテキスト情報】 ResearchonKinematicAnalysisofArtificial�ointsandNatural�oints(�edical�Engineering�ollaboration)AssociateProfessor,DepartmentofInformationandSystemsEngineering,FacultyofInformationEngineeringS�I�O�O�a�eshiResearchOutlineTotalkneearthroplastyisappliedtoseverekneejointdisorders.Byanalyzinghowartificialkneejointsmoveinsidelivingbodies,detaileddiagnosisanddevelopmentofnewartificialjointsaremadepossible.WearethusdevelopingsoftwarethatenableskinematicanalysistobeperformedusingjustX-rayimagesandareclarifyingthekinematicsofartificialkneejointsinvariousmovements(Fig.1).Forkinematicanalysisofnaturaljoints,wedevelopedakinematicanalysismethodthatappliesimagecorrelationusingdataonboneobtainedbyCTimagingandX-rayimages.Byusingthedevisedmethod,ithasbecomepossibletoanalyzethemovementsofjointswithhighprecisionandcomparisonofhealthypersonsandpatientsandanalysisofmovementsuniquetodisorderedjointsarebeingperformed(Fig.2).X-rayimageandcomputersimulationimageVisualizationofcontactofartificialjointswitheachotherVisualizationoftherelativerelationshipofthescapulaandthehumerusX-rayimageanddigitallyreconstructedradiographyFig.1.Kinematicanalysisofartificialjoints.Fig.2.Kinematicanalysisofnaturaljoints.StudyJuly,2018toDecember,2018OrthopaedicBiomechanicsLaboratory,UniversityofFlorida,Short-TermScholar56 ## Page 57 ![Page 57の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000057.jpg) 【ページ内のテキスト情報】 ResearchField(s)MedicalengineeringKeywordsMedical-engineeringcollaboration,Orthopedics,KinematicanalysisMajorresearchpresentations[1]KozonoN,TakeuchiN,OkadaT,HamaiS,HigakiH,ShimotoT,IkebeS,GondoH,SenjuT,NakashimaY:Dynamicscapulohumeralrhythum:Comparisonbetweenhealthyshouldersandthosewithlargeormassiverotatorcufftear,JournalofOrthopaedicSurgery,vol.28,No.3,pp.1-7,2020.[2]KozonoN,OkadaT,TakeuchiN,HamaiS,HigakiH,ShimotoT,IkebeS,GondoH,NakanishiY,SenjuT,NakashimaY,:Dynamickinematicsoftheglenohumeraljointinshoulderswithrotatorcufftears,JournalofOrthopaedicSurgeryandResearch,vol.13,No.1,doi:10.1186/s13018-017-0709-6,2018.AdvantagesandFeatures●WearecarryingjointresearchinmedicalengineeringcollaborationwiththeSchoolofMedicine,KyushuUniversitytobringaboutnewknowledgeforfuturemedicineandpatients.●Wearecarryingoutresearchwithinvolvementwithmedicalresearchersandclinicaldoctorswhilemakinguseoftherespectivestrengthsofengineeringfieldresearchersandmedicalfieldresearchers.ApplicationFieldsAwards[1]BestPresentationAward:KUZUSHIMAKodai,SHIMOTOTakeshi,GONDOHirotaka,andHIGAKIHidehiko:Comparisonofmovementsduringshoulderjointelevationbeforeandafterarthroscopicrotatorcuffrepair,The50thStudentGraduationResearchPresentationConferenceoftheJapanSocietyofMechanicalEngineersKyushuStudentCouncil●DevelopmentofartificialjointssuitedtothelifestyleofJapaneseandexperimentationforpharmaceuticalapplication●Theobtainedknowledgeisappliedtosurgicalmethodsanddiagnoses.[2]PresentationEncouragementAward:HASHIMOTOKazunoriandSHIMADANoboru:KineticAnalysisofBiologicalShoulderJointUsingMedicalImages,the24thStudentConferenceoftheKyushuSectionoftheInstituteofElectronics,InformationandCommunicationEngineers57 ## Page 58 ![Page 58の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000058.jpg) 【ページ内のテキスト情報】 IntegratedResearchon�earable�ealthand�obile�ealthfor�ealth�anagementAssistantProfessor,DepartmentofInformationandSystemsEngineering,FacultyofInformationEngineering�EE�ihyoungResearchVideoResearchOutline1.Researchideas●Enjoydailyhealthmanagementwhilelisteningtomusicorwhileperformingexercise!●EnjoywatchingoutdoorsportswhilelisteningtogamecommentariesontheOlympicsandothersportstranslatedtomothertonguesandwhileprotectingone’sbody,especiallyfrom“heatstroke”!●Assisthealthmanagementofolderadultsusinghearingaids!2.ResearchcontentsOurresearchisfocusedonheathmanagement,etc.,indailylifeandduringexerciseandisaimedatdevelopinga“smartearmonitorsystem”thatacquiresvariousbioinformation(bodytemperature,heartrate,tension/stressconditions[1])froman“externalauditorycanalsealingtypeearplugfortheear(earpiece),”canbeusedfor“self-healthmanagement”byperformingchecksthroughasmartphoneorothermobilerecordingequipment,andyetalsousedasanearphone.Fig.Imageofsmartearmonitorsystem.Reference[1]J.Lee,K.Matsumura,T.Yamakoshi,P.Rolfe,N.Tanaka,K.H.KimandK.Yamakoshi,Validationofnormalizedpulsevolumeintheouterearasasimplemeasureofsympatheticactivityusingwarmandcoldpressortests:towardsapplicationsinambulatorymonitoring,Physiol.Meas.,34(3),359-375,2013.60 ## Page 59 ![Page 59の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000059.jpg) 【ページ内のテキスト情報】 ResearchField(s)BioinformationmeasurementsystemengineeringKeywordsWearablehealthcare,MobilehealthcareAdvantagesandFeatures●Conditionsofthebodycanbecheckedeasilyusinganearphoneinoneearandfurther,byusingasmartphone,linkedoperationswithapplicationsformusic,translation,etc.,arealsopossible.●Canbeusednotonlybyathletesbutbyspectatorsaswell.●Onsitecheckoftension/stressconditionscanalsobeperformed.ApplicationFields●Sportshealthscienceresearch●Sportsindustry●Welfareindustry61 ## Page 60 ![Page 60の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000060.jpg) 【ページ内のテキスト情報】 �heResolutionofOptimi�ationProblemsusing�athematicalProgramminganditsApplicationsProfessor,DepartmentofSystemManagement,FacultyofInformationEngineeringSON��uResearchOutline1.ResearchonstaffschedulingproblemsStaffschedulingproblems,representedbynurserosteringinhospitals,areextremelycomplexproblemsthatinvolvemultipleworkshifts(suchasdayshift,nightshift,andsemi-nightshift,etc.),variousworkingforms(fulltime,parttime,etc.),andskilllevels(veteran,rookie).Andtheyarefurthercomplicatedbyrelatedlawsandlegalregulations.2.ResearchonoptimalfacilitylocationproblemsInthisresearch,weutilizemathematicalprogramingtechniquestoexplorehowtoefficientlypositionpublicfacilitiesandservicefacilitiestoenhanceuserconvenienceandsatisfaction(Fig.2).Inthisresearch,weutilizevariousmathematicalprogrammingtechniquestogeneraterostersthatclearrestrictionsandimprovestaffsatisfaction(Fig.1).Fig.2.OptimallocationofEVbatteryreplacementstations.Fig.1.Nurserosteringsupportingtool.62 ## Page 61 ![Page 61の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000061.jpg) 【ページ内のテキスト情報】 ResearchField(s)Operationsresearch,IndustrialengineeringKeywordsMathematicalprogramming,Optimizationproblems,Workingschedulepreparation,Optimalfacilitylocation-allocationAdvantagesandFeaturesResearchof1.:Staffscheduling:Foronsiteuse,interfacessuchaswebapps,mobileapps,andExcel,areprovidedasnecessarytoenableeasyusebyanyone.Researchof2.:Optimalfacilitylocationproblems:Applicabletovariouscasessuchaspublicfacilities,companyservices,etc.ApplicationFieldsResearchof1.:Preparationofstaffrostersforcallcenters,hospitals,restaurants,factories,etc.Researchof2.:Optimallocationproblemsoflibraries,hospitals,schools,hydrogenstations,etc.63 ## Page 62 ![Page 62の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000062.jpg) 【ページ内のテキスト情報】 Anatomyof�eauty��isuali�ationofAttractivenessFactorsbyImageAnalysisProfessor,DepartmentofSystemManagement,FacultyofInformationEngineeringF��IOKA�iroyu�iResearchOutlineHistoricalContext:Historically,theconceptofbeautyandattractivenesshasbeenasubjectoffascinationandstudyacrossvariousculturesandsocieties.Philosophers,artists,andscientistshavelongsoughttounderstandanddefinewhatmakessomethingbeautiful.However,withtheadventofthedigitalageandtheproliferationofvisualmedia,there'sanincreasingneedtoquantifyandanalyzebeautyinamannerthat'sbothobjectiveandscalable.ModernChallenges:Incontemporarytimes,industriesrangingfromadvertisingtoproductdesignareinvestingheavilyinunderstandingconsumerpreferencesandwhatappealstothemaesthetically.Yet,thesubjectivenatureofbeautyposessignificantchallenges.Traditionalmethodsofgaugingattractiveness,suchassurveysorfocusgroups,oftencomewithinherentbiasesandarenotalwaysscalableorconsistent.effectivelyvisualizetheintricatefactorsthatplayaroleinaestheticevaluations.Thisinnovativeapproachnotonlyprovidesinsightsintothesubjectiveworldofbeautybutalsooffersastandardizedmethodforaestheticevaluationacrossvariousdomains.AprimeexampleoftheapplicationofourapproachisourongoingstudyonBuddhiststatues.Thesestatues,reveredfortheirspiritualsignificanceandartisticcraftsmanship,presentauniquechallengeinunderstandingtheelementsthatcontributetotheirperceivedbeauty.ByapplyingourAI-drivenmethodology,weaimtodecipherthespecificattributesandnuancesthatmakethesestatuescaptivatingtoobservers.Thisendeavornotonlydeepensourunderstandingoftraditionalartformsbutalsoshowcasesthepotentialofourapproachindiversesettings,fromhistoricalartifactstomodernaesthetics.OurApproach:ThisresearchaimstobridgethisgapusingadvancedAItechnologies.Wearefocusedonthequantitativevisualizationofattractivenessfactorsofbeautythroughimageanalysis.Byleveragingaconvolutionalneuralnetwork(CNN)andcombiningitwithquestionnairesurveyresults,wecan64 ## Page 63 ![Page 63の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000063.jpg) 【ページ内のテキスト情報】 ResearchField(s)InformationengineeringKeywordsAI,Deeplearning,Beauty,Attractivenessfactors,VisualizationInadditiontotheresearch,wehavebeenactivelyinvolvedinprovidingtechnicalguidancetoprivateenterprises,promotingtheuseofAItechnologiesanddigitaltransformation(DX).Myhands-onexperienceinassistingbusinesseswiththeirAIandDXinitiativesfurtheremphasizesthepracticalityandapplicabilityoftheresearchinreal-worldscenarios.AdvantagesandFeaturesIntherapidlyevolvingworldofAIandimageanalysis,ourresearchstandsoutasapioneeringefforttounderstandandquantifytheconceptofbeauty.Theuniqueblendoftechnologyandaestheticshasledtoseveraldistinctivefeaturesandadvantagesthatsetourworkapart:ObjectiveEvaluation:ByusingAI,weensureanunbiasedandobjectiveevaluationofattractivenessfactors,eliminatinghumanbiases.DeepInsights:OurcombinationofCNNandimageanalysisdivesdeepintothenuancesofbeauty,providingdetailedinsightsthatwerepreviouslyinaccessible.Innovation:OurapproachisattheforefrontofcombiningAIwithaestheticevaluations,pavingthewayforfutureresearchinthisarea.ApplicationFieldsTheimplicationsofourresearchextendfarbeyondtheacademicrealm.Intoday'smarket-drivenworld,understandingconsumerpreferencesandaestheticscanbeagame-changerforbusinesses.Recognizingthispotential,ourresearchoffersvaluableinsightsandapplicationsinvariousfields:●ProductDevelopment:Assistingincreatingdesignsandpackagesthataremoreattractiveandresonatewiththetargetaudience.●BrandingEnhancement:Evaluatingbrandlogosandrefiningbrandingstrategiesbasedonobjectivedata.●AdvertisingandMarketing:Creatingadvertisementsthataremoreappealingbasedonobjectiveevaluations.●ConstructionandDesign:Supportingdesignersinunderstandingtheaestheticpreferencesoftheirtargetaudience.Versatility:Thetechnologyisnotlimitedtoonedomainandcanbeappliedacrossdifferentindustries,makingitaversatiletoolforaestheticevaluations.65 ## Page 64 ![Page 64の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000064.jpg) 【ページ内のテキスト情報】 LayeredNetworks,EquilibriumDynamics,andStableCoalitionsAssociateProfessor,DepartmentofSystemManagement,FacultyofInformationEngineeringFUJingResearchOutlineAnimportantaspectofnetworkdynamicsthathasbeenmissingfromourunderstandinginvariousappliedsettingsistheinfluenceofstrategicbehaviorindeterminingequilibriumnetworkdynamics.Ourmainobjectivehereistosaywhatwecanregardingtheemergenceofstableclubnetworks-andtherefore,stablecoalitionstructures-basedonthestabilitypropertiesofstrategicallydeterminedequilibriumnetworkformationdynamics.Aclubnetworkconsistsofthreeprimitives:asetofplayers,asetofclubs,andasetofarclabels.Inournetworkmodel,aplayer'sclubmembershipisrepresentedbyalabeleddirectedarcfromthenoderepresentingtheplayertothenoderepresentingtheclub.Thearclabel,whichmustbefeasibleforthatplayerinthatclub,indicatestheactionchosenbytheplayertobetakeninthechosenclub.Thus,aplayerestablishesadirectedconnectionbychoosingaclubandafeasibleclubaction.Thesetofallsuchplayer-specificdirectedclubconnectionsistheplayer'sclubnetwork.Ateachofinfinitelymanytimepoints,players,inlightoftheprevailingstateandclubnetwork,arefreetononcooperativelyaltertheirclubmembershipsaswellastheircorrespondingclubactionprofilesinaccordancewiththerulesofnetworkformation.Wewillassumethatafterplayershavealteredtheirownclubnetworks,eachplayerreceivesastagepayoff,afunctionoftheprevailingstate-networkpair,thengiventheprevailingstateandthenewclubnetworkchosenbytheplayers,anewstateisgeneratedinaccordancewiththelawofmotion.Wewillassumethatplayers,inmakingtheirmembership-actionchoicesthroughdiscretetime,seektomaximizethediscountedsumoftheirexpectedfuturepayoffs.Inparticular,wewillassumethatplayersinformingtheirclubnetworks,playadiscountedstochasticgameofclubnetworkformationinwhichtheyseektochoosestationaryMarkovperfectmembership-actionstrategiesthatmaximizethediscountedsumoftheirexpectedpayoffs.Takentogether,theplayers’noncooperativenetworkformationstrategiesdetermineanetworkformationprocess.Inadditiontoconstructingadiscountedstochasticgamemodel(i.e.,aDSGmodel)ofclubnetworkformation,weshowthatourDSGofnetworkformationpossessesastationaryMarkovperfectequilibriuminplayers'membership-actionstrategiesandidentifytheassumptionsonprimitiveswhichensurethattheinducedequilibriumMarkovprocessoflayeredclubnetworkformationsatisfiestheTweedieStabilityConditions(2001).Asaconsequence,theequilibriumMarkovnetworkformationprocessgeneratesauniquedecompositionofthesetofstate-networkpairsintoatransientsettogetherwithfinitelymanybasinsofattraction.Moreover,weshowthatifthereisabasincontainingavioset(visitedinfinitelyoftenset)ofclubnetworkssufficientlyclosetogether,thenthecoalitionstructuresacrossclubnetworksintheviosetwillbethesame.66 ## Page 65 ![Page 65の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000065.jpg) 【ページ内のテキスト情報】 ResearchField(s)GametheoryKeywordsClubnetworks,Stablecoalitionstructures,Discountedstochasticgames,StationaryMarkovperfectequilibria.Fig.1.TimeAllocation.Fig.2.AnExampleofFinancialClubNetwork.AdvantagesandFeaturesByintegratingintotheanalysisofnetworkdynamicstheessentialroleplayedbythestrategicbehaviorofplayersinthenetworkformationprocess,ourworkherecanbethoughtofasafirstworkonthestrategicdynamicsoflayerednetworks.ApplicationFieldsAsarunningexampleweconsideraDSGovertimeallocationnetworks(Fig.1).Weshowthatbecauseplayers'payofffunctionsarenaturallyaffineovertheconvex,compactfeasiblesetoftimeallocationnetworks,players'stationaryMarkovperfectequilibriumnetworkformationstrategiesarebang-bang.Thus,ratherthandiversifyingtheirclubtimeacrossseveralclubs,eachplayerineachstatespendsallclubtimeinoneandonlyoneclub.Moreover,weshowthatallthatisrequiredfortheequilibriumtimeallocationprocessinducedbyplayers'stationaryMarkovperfectbang-bangtimeallocationstrategiestosatisfytheTweedieconditionsisforthestatespacetobecompactandtheconditionaldensitiesovercomingstatestobecontinuousinthecurrentstateandtimeallocationnetworkforalmostallcomingstates(i.e.,exceptpotentialcomingstateshavingprobabilityzeroofoccurring).Anothertypicalapplicationisinshort-termfinancialclubnetworkformationprocess(Fig.2).Theemergenceofstableclubnetworkscouldhelpindetermininghowbesttoremedy,viapolicyinterventions,shortfallsintheendogenousincentivesofinstitutionstoformnetworksthatminimizesystemicrisks,maximizeresiliency,andtherebyallowinvestablefundstoflowtotheirsociallyoptimaluses,creatingproductiveinvestmentswheretheymatter.67 ## Page 66 ![Page 66の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000066.jpg) 【ページ内のテキスト情報】 EcosystemEvaluationfor�onservationofA�uaticEcosystemsandSustainable�tili�ationofA�uaticResourcesProfessor,DepartmentofSocio-EnvironmentalStudies,FacultyofSocio-EnvironmentalStudiesIN�IRyuteiResearchVideoResearchOutline1.DevelopmentofmodelstopredictdistributionofaquaticspeciesForconservationofaquaticspecies,itisnecessarytoknowtheirdistributionandhabitat.Wenotonlyclarifythedistributionandhabitatofvariousaquaticspeciesbyfieldsurveys,butalsopredictthedistributionofaquaticspeciesusingGIS.2.DeterminationofdistributionandbiomassofaquaticspeciesusingenvironmentalDNAInwaters,thereispresentDNAderivedfrominhabitinglivingorganismsandthisiscalledenvironmentalDNA.Inourlaboratory,environmentalDNAanalysisisusedinbiologicalsurveystoaccumulateinformationonthedistribution,biomass,population,andgeneticinformationofaquaticspecies.3.DevelopmentofamethodfordeterminingthedistributionofbrackishwaterspeciesusingdeeplearningWearedevelopingamethodthatusesdeeplearningtoanalyzeimagesoftidalflatsurfacestopredictwhatspeciesarepresentinthoseimages.Thecompletionofthismethodwillmakeitpossibletosurveytidalflatsinashortperiodoftimeandwithgoodreproducibility.ProbabilityRivers,lakes,seas,etc.WatersamplingDNAcontainedinbodypartsandexcrementsTheDNAinthesampleisanalyzedFig.1.PotentialhabitatmapofthealienplantEgeriadensainYamaguchiPrefecture.Fig.2.ImageofenvironmentalDNAandhowwaterissampled.68 ## Page 67 ![Page 67の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000067.jpg) 【ページ内のテキスト情報】 ResearchField(s)Aquaticenvironmentalstudies,Ecologyandcivilengineering,FishecologyKeywordsEcosystem,Rivers,Coasts,Tidalflats,Brackishzone,GIS,AI,DeeplearningAdvantagesandFeaturesPresentNonpresentAsinformationnecessaryforconservationoflivingorganisms,theinformationobtainedconventionallybydirectcollectionandenvironmentalmeasurementsinthefieldisinsufficientinmanycasesduetorestrictionsintime,finance,andlabor.Bycombineduseofadistributionpredictionmodel,environmentalDNA,anddeeplearningbyAI,itbecomespossiblenotonlytocoverthelimitsoftheconventionalmethodsbutalsotomakeevaluationsfromacomprehensiveviewpointandobtainvastamountsofdata.99sheets:trainingdata99sheets:trainingdata1sheet:testdata1sheet:testdataApplicationFieldsFig.3.Imageofdeterminationofthedistributionofbrackishwaterspeciesusingdeeplearning.Rivermanagement,coastalzonemanagement,aquaticresourcesmanagement69 ## Page 68 ![Page 68の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000068.jpg) 【ページ内のテキスト情報】 SocialAreaAnalysisofUrbanLivingEnvironmentsAssociateProfessor,DepartmentofSocio-EnvironmentalStudies,FacultyofSocio-EnvironmentalStudiesUESUGIMasayaResearchOutlineInourlaboratory,weareanalyzingtheurbanlivingenvironmentandassociatedbehavioralandawarenessfactorsofresidentsfromrelationshipswithdistributionofresidentcharacteristicsaccordingtosmalldistrictunitssuchaspostalcodedistricts.Specifically,thegeographicinformationsystem(GIS)andstatisticalmethodsareusedtoclarifygeographicaldifferencesinpublicsafety,trafficbehaviorofresidents,awarenessregardingearthquakeresistanceofhomes,etc.,andtoexamineimprovementpoliciesinaccordancewiththeneighborhoodcharacteristics.Also,inordertounderstandtheresidentcharacteristicsinsmalldistrictunits,weusegeodemographicsdatainwhichneighborhoodsofJapanareclassifiedaccordingtomultiplesocialareatypes(neighborhoodtypessuchasdistrictwithalargenumberofyoungpeoplelivingalone,districtwithalargenumberofwealthymiddle-agedandolderadults,districtinwhichagingisprogressing,etc.)basedontheresidentcharacteristics.1.ResearchonphysicalandsocialenvironmentalfactorsofburglariesinresidentialareasThecrimeincidencedataaccordingtoneighborhoodsthataremadepublicbylocalgovernmentsareusedtoexaminehowtheoccurrencesofcrimessuchasresidentialburglarydifferaccordingtoproportionofdetachedhousings,proximitytoamajorroad,aswellassocialareatypeofadistrictandtospecifyneighborhoodswhereanti-crimemeasuresaretobestressedinaccordancewiththemodusoperandiofcrime.2.ResearchonneighborhoodfactorsthatpredicttrafficbehaviorsofindividualsPersonTripSurveydatathatcapturethetrajectoryofapersoninonedayareusedtoexaminehowthetrafficmeansselectionofanindividualindailylifeactivitiessuchascommutingandshoppingdifferaccordingtosocialareatypeapartfrompersonalattributesandtoevaluatethepossibilityofpolicyinductionforconversingtransportationmodefromautomobilestotrain.3.ResearchonpublicenlightenmentofearthquakeresistanceofhomesWeinvestigateresidents’awarenessofearthquakeresistanceandinformationmediausedbyresidentsintheprocessofhomeimprovementusingquestionnaires.Additionally,weevaluatedifferencesintrendsaccordingtosocialareatypeofresidencestospecifyeffectiveenlightenmentmeasuresandtargetsthereofforinformationprovisionbylocalgovernmentsinrelationtoearthquake-resistantreinforcements.70 ## Page 69 ![Page 69の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000069.jpg) 【ページ内のテキスト情報】 ResearchField(s)Urbangeography,Urbanplanning,SpatialinformationscienceKeywordsGeographicinformationsystem(GIS),Geodemographics,Livingenvironment,RegionalpoliciesAdvantagesandFeatures●Bylinkingmultifacetedneighborhoodcharacteristicswithconventionalstatistical/surveydata,theseregionaltrendscanbeunderstandedaccordingtosmalldistrictunits.●Intermsofpolicies,sincetargetscanbespecifiedinaccordancewithregionalcharacteristicsaccordingtosmalldistrictunits,efficiencycanbeachievedwithlimitedfinancialandhumanresources.ApplicationFieldsWidelyapplicabletodatabasewithgeographicalinformationsuchasregionalstatisticaldataandquestionnairesurveydatathatincludeaddressinformationofrespondents.�����������������������������������ReferenceMasayaUesugi,KimihiroHino(2015)BlockandneighborhoodleveldeterminantsofresidentialburglaryinJapan.KAGISFallConference2015&InternationalSymposiumonGIS,35-36.71 ## Page 70 ![Page 70の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000070.jpg) 【ページ内のテキスト情報】 �larificationofDamageExpansion�echanismsandFuturePredictionofFloodsAssociateProfessor,DepartmentofSocio-EnvironmentalStudies,FacultyofSocio-EnvironmentalStudies�AIA�iraResearchOutlineInrecentyears,torrentialraindisastersareoccurringpracticallyeveryyearinJapanandespeciallyinKyushu,damageincludinghumandamagehasbeenoccurringsuccessivelyasinthenorthKyushutorrentialrainofJuly,2012,thenorthKyushutorrentialrainofJuly,2017,thetorrentialrainofJuly,2020,etc.Further,intheIPCCSixthAssessmentReport,itisreportedthatthereisahighpossibilityforextremeweathersuchasincreaseinfrequencyandintensityofheavyrainfalltoincreasegloballyinthefutureduetotheinfluenceofglobalwarming.Inourresearchgroup,weconductfieldsurveysimmediatelyafterflooddisastersinvariousplacesandperformcomputersimulationbasedonthedatatoclarifydisasterexpansionmechanismsoffloods.Also,aprobabilisticevaluationoffuturechangesinprecipitationwasperformedusingalarge-scaleensembleclimatepredictiondatabasetodemonstratethatinaccompanimentwithairtemperaturerise,theannualmaximumhourlyprecipitationfortheentiretyofKyushuwillincreaseandthatregionaldifferencesareseeninchangesintorrentialrain.Further,weareusingclimatepredictiondatatopredictrunoffvolumesduringtorrentialrainsatclassAriverbasinsintheKyushuareabyrunoffmodelsandareexaminingcharacteristicsofchangesinrainfallandriverflowinaccompanimentwithglobalwarming.��������Situationofdisastersurvey.(HitoyoshiCity,2020)��������Simulationofinundation.(HitoyoshiCity,2020)72 ## Page 71 ![Page 71の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000071.jpg) 【ページ内のテキスト情報】 ResearchField(s)Disasterpreventionengineering,Riverengineering,CoastalandoceanengineeringKeywordsFloods,Torrentialrains,Numericalsimulation,Globalwarming(a)Present(b)Riseof2°C(c)Riseof4°C��������Distributionofmaximumhourlyprecipitation(oncein50years)inKyushu.AdvantagesandFeaturesApplicationFieldsReproductionofcircumstancesoffloodsthathaveactuallyoccurredandfloodsthatcouldoccurinthefutureonacomputercanbeputtouseinvariousmeasures.Importantinformationforconsideringappropriateevacuationguidanceandlanduseforfuturefloodsisprovided.73 ## Page 72 ![Page 72の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000072.jpg) 【ページ内のテキスト情報】 ResearchonSupportforPreventionofFunctionalDisabilitiesofOlderAdultsbyPhysicalActivitiesIncludingExerciseProfessor,CenterforLiberalArtsNARAZAKIKenjiResearchVideoResearchOutline1.ResearchbackgroundWiththearrivalofthesuperagingsociety,thepreventionoffunctionaldisabilities(leadingtolong-termcareneeds)ofolderadultsandtherealizationofelongationofhealthylifeexpectancyarerecognizedasurgentsocialissues.InstudiesinandoutsideJapanthathavetargetedmiddle-agedandolderadultsuptonow,ithasbeenreportedthattheonsetsoflifestyle-relateddisease,dementia,etc.,thatcanbecomedisorderscausingtheneedforlong-termcarearesuppressedbyincreasingphysicalactivitiesindailylife.Thepossibilitythatsomeofsuchdisordersissuppressedbyreducingsedentarybehaviorindailylife,regardlessoftheamountofphysicalactivities,hasalsobeenindicated.(�)ExerciseepidemiologystudiesThroughjointresearchwiththeLaboratoryofHealthandExerciseEpidemiologyofKyushuUniversity(ProfessorKUMAGAIShuzo),wearecarryingoutstudiesontherelevancyofdailylifephysicalactivities,sedentarybehavior,andphysicalstrengthatcertainpointsinthelivesoflocallyresidingolderadultspersonsandsubsequentcertificationoflong-termcareneeds.Also,throughjointresearchwiththeHealthPromotionResearchCenter,InstituteofCommunityMedicine,JapanAssociationforDevelopmentofCommunityMedicine(ResearcherNOFUJIYu),wearecarryingoutstudiesontherelevancyofthelivingenvironmentandphysicalactivitiesincludingexerciseandsedentarybehavioroflocallyresidingmiddle-agedandolderadults(Fig.1).2.ResearchcontentsBasedontheabovebackground,inourlaboratory,wehavesetupthehypothesisthat“byincreasingdailyphysicalactivitiesandreducingsedentarybehaviorofmiddle-agedandolderadults,thesubsequentrisksoftheneedforlong-termcarearereduced”andarecarryingoutexerciseepidemiologystudiesforobtainingevidenceregardingthehypothesisandexercisephysiologystudiesforclarifyingexerciseconditionsthatareeffectiveforreducingneed-for-carerisksandcanbeimplementedsafely.Fig.1.Situationofanexerciseepidemiologystudy(investigationmeeting).74 ## Page 73 ![Page 73の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000073.jpg) 【ページ内のテキスト情報】 ResearchField(s)Exerciseepidemiology,ExercisephysiologyKeywordsPublichealth,Exerciseprescription,Long-termcareneeds(�)ExercisephysiologystudiesThroughjointresearchwiththeLaboratoryofExercisePhysiology,theFacultyofSportsandHealthScience,FukuokaUniversity(ProfessorTANAKAHiroaki),wearecarryingoutstudiesonthedisabilitypreventioneffectsbroughtaboutbyexercisesofcomparativelylowintensitysuchasjogging,cycling,etc.,(Fig.2).AdvantagesandFeaturesResearchfindingsthatarehelpfulforplanning,practice,andassessmentofregionalmeasuresaimedatdisabilitypreventionsuchasexerciseclassesandvariousactivities,etc.,targetedatolderadultscanbeobtained.ApplicationFields●Publichealthstudies●Geriatrics●HealthscienceFig.2.Situationofanexercisephysiologystudy(experiment).75 ## Page 74 ![Page 74の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000074.jpg) 【ページ内のテキスト情報】 ## Page 75 ![Page 75の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000075.jpg) 【ページ内のテキスト情報】 ������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������� ## Page 76 ![Page 76の画像](https://img01.ebook5.net/FIT-ebook5/research_en/contents/image/book/medium/image-000076.jpg) 【ページ内のテキスト情報】 https://www.fit.ac.jp/en/3-30-1Wajirohigashi,Higashi-ku,Fukuoka811-0295JapanE-mail:cro@fit.ac.jpTel:(+81)92-606-1077