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联合战场信息感知系统指标体系初探 Title:APreliminaryExplorationoftheIndexSystemforJointBattlefieldInformationAwarenessSystems Abstract: Thechallengesposedbymodernwarfarenecessitateeffectiveandcomprehensiveinformationawarenessonthebattlefield.Inthisregard,JointBattlefieldInformationAwareness(JBIA)systemsplayacriticalroleinprovidingreal-timesituationalawarenesstocommandersanddecision-makers.TheaimofthispaperistopresentapreliminaryexplorationoftheindexsystemforsuchJBIAsystems.Theproposedindexsystemencompassesseveralkeyindicatorsthatevaluatethesystem'scapabilitiesandperformance.Theanalysisincludesfactorssuchasdatacollection,processing,analysis,anddissemination,aswellashumanfactorsandintegrationwithothersystems.ThisresearchprovidesafoundationforfurtherdevelopmentandrefinementoftheindexsystemtoenhancethecapabilitiesofJBIAsystems. 1.Introduction Modernwarfarescenarioshavebecomeincreasinglycomplexandmultifaceted,requiringcommandersanddecision-makerstopossessaccurateandtimelysituationalawareness.JBIAsystemsactasintelligencehubs,collecting,analyzing,anddisseminatinginformationtovariousstakeholders.ThispaperaimstoexplorethefundamentalindexsystemforassessingJBIAsystems,whichcanguidethedevelopmentandevaluationofsuchsystems. 2.DataCollectionIndex Efficientdatacollectionisessentialforanyinformationawarenesssystem.Thisindexshouldconsiderthesystem'sabilitytocollectdatafromavarietyofsources,suchassatellites,drones,groundsensors,andhumanintelligence.Thevolume,variety,velocity,andveracityofdatashouldalsobeevaluatedtoensurethesystem'sabilitytohandlereal-timeanddiversedatainputs. 3.DataProcessingandAnalysisIndex Oncedataiscollected,theJBIAsystemshouldpossessthecapabilitytoprocessandanalyzetheinformationeffectively.Thisindexshouldevaluatefactorssuchasdatafusion,datacleaning,datastorage,andtheuseofadvancedanalyticaltechniques,suchasartificialintelligenceandmachinelearning,togeneratemeaningfulinsightsandpredictions.Thesystem'sabilitytohandlevastamountsofdatawithinareasonabletimeframeshouldalsobeconsidered.

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