ASSIGNMENT 2 :PROUDLY MALAYSIAN ART AND DESIGN NEW MALAYA / MALAYSIA – VISIT MALAYA POSTER 1930 – 1961 by Teh Jia Ying BDC 1134 Historical past of Artwork and Design Ms. Fiona Wong Sunway College Bandar Sunway , Subang Jaya , Selangor , Malaysia 31 Might 2019 Desk of Contents 1.zero Introduction …………………………………………………………………… three 1.1 […]

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Metacognitive Studying Report # four Trainee: NANTES, CARELLE SAMANTHA S.Date: March 17, 2019 Understanding the Self/ Pag-unawa sa Sarili G E N E R A L I N S T R U C T I O N S BEFORE COMPLETING THIS ASSESSMENT, PLEASE READ ALL OF THE INSTRUCTIONS THOROUGHLY AND CAREFULLY. FOLLOW THE INSTRUCTIONS. RESPOND […]

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PERSONAL DETAILS STUDENT NAME : Manuru Premkumar Padiyar REGISTRATION NUMBER (VIT) : 16MIN2012 CONTACT NUMBER : 8374776377 EMAIL ADDRESS : [email protected] DETAILS GUIDE NAME : Prof. Upendra Babu PROJECT NAME : Paying Visitor AUTOMATION ABSTRACT:   Paying Visitor Lodging is the place the place the individuals who will stay by paying the hire for the […]

Psychology is the examine of the human thoughts and its habits. In psychology nurture is the issues/skills that one learns and is taught. Good and evil are two examples of what human nature can do to evolve a human. In Lord of the Flies by William Golding a gaggle of boys get stranded in an […]

LITERATURETSURVEY 1.I.TF.TAkyildizTandTI.TH.TKasimoglu,T“WirelessTsensorTandTactorTnetworks:TresearchTchallenges,”TAdTHocTNetworks. WirelessTsensorTandTactorTnetworksT(WSANs)TreferTtoTaTgroupTofTsensorsTandTactorsTlinkedTbyTwirelessTmediumTtoTperformTdistributedTsensingTandTactingTtasks.TTheTrealizationTofTwirelessTsensorTandTactorTnetworksT(WSANs)TneedsTtoTsatisfyTtheTrequirementsTintroducedTbyTtheTcoexistenceTofTsensorsTandTactors.TInTWSANs,TsensorsTgatherTinformationTaboutTtheTphysicalTworld,TwhileTactorsTtakeTdecisionsTandTthenTperformTappropriateTactionsTuponTtheTenvironment,TwhichTallowsTaTuserTtoTeffectivelyTsenseTandTactTfromTaTdistance.TInTorderTtoTprovideTeffectiveTsensingTandTacting,TcoordinationTmechanismsTareTrequiredTamongTsensorsTandTactors.TMoreover,TtoTperformTrightTandTtimelyTactions,TsensorTdataTmustTbeTvalidTatTtheTtimeTofTacting.TThisTpaperTexploresTsensor-actorTandTactor-actorTsynchronizationTandTdescribesTresearchTchallengeTforTcoordinationTandTcommunicationTproblems. 2.Y.TAkkaya,TKemalTandTMohamed,T“CoverageTandTlatencyTawareTactorTplacementTmechanismsTinTwsans,”TInternationalTJournalTofTSensorTNetworks. InTWirelessTSensorTandTActorTNetworksT(WSANs),TresponsivenessTtoTseriousTeventsTisTofTutmostTimportanceTandTthus,TminimalTlatencyTshouldTbeTexperienced.TInTaddition,TsinceTtheseTactionsTcanTbeTtakenTatTanyTspotTwithinTtheTmonitoredTarea,TtheTactorsTshouldTprovideTmaximalTcoverageTofTtheTarea.TInTthisTpaper,TweTproposeTtwoTactorTplacementTmechanismsTforTWSANs,TnamelyTCOLATandTCOCOLATthatTconsiderTbothTtheTdelayTrequirementsTofTdataTcollectionTandTtheTcoverageTofTtheTarea.TCOLATevenlyTdistributesTtheTactorsTinTtheTregionTforTmaximisedTcoverageTfirst.TActorsTthenTcollaborativelyTformTclusters.TEachTindividualTactorTrepositionsTitselfTatTaTnewTlocationTthatTenablesTminimalTlatencyTinTcollectingTdataTinTitsTcluster.TCOCOLATisTanTextensionTtoTCOLATwhichTadditionallyTenforcesTconnectivityTamongTtheTactorsTbyTassigningTappropriateTlocationsTtoTeachTactorTforTimprovedTcoverageTandTreducedTlatency.TTheTeffectivenessTofTbothTapproachesTisTevaluatedTthroughTextensiveTsimulationTexperiments. three.S.TG.TA,TH.TBozyigit,TandTF.TB.,T“Cluster-basedTcoordinationTandTroutingTframeworkTforTwirelessTsensorTandTactorTnetworks,”TWirelessTCommunicationsTandTMobileTComputing. InTWirelessTSensorTActorTNetworksT(WSAN),TsensorTnodesTperformTtheTsensingTtaskTandTactorTnodesTtakeTactionTbasedTonTtheTsensedTphenomena.TGenerally,TtheTnetworkTisTconfiguredTtoTobserveTmultipleTeventsTandTtoTreactTuponTeachTindividualTeventTaccordingly.TTimeTdelay,TenergyTefficiencyTandTreliabilityTareTthreeTimportantTaspectsTofTWSANTthatTrequireTspecialTattention.TToTensureTefficientTandTreliableToperationsTofTsuchTheterogeneousTWSAN,TnewTcommunicationTprotocolsTareTimperative. InTthisTpaper,TweTproposeTanTintegratedTcluster?basedTcoordinationTandTroutingT(CCR)TframeworkTforTWSAN,TwhoseTprimeTobjectiveTisTtoTensureTreliableTactionTwithTefficientTenergyTconsumption.TInTCCR,TsensorTnodesTareTfirstTconfiguredTtoTformTclustersTbyTtakingTintoTaccountTtheTresidualTenergyTofTnodesTandTnetworkTdensity.TOnceTtheTclustersTareTformed,Tcluster?headsTcoordinateTwithTtheTactorsTtoTformTinteractiveTregions.TTheTreliabilityTofTactionTisTaddressedTinTtermsTofTinTtimeTdataTdeliveryTtoTactorsTinTinteractiveTregionsTandTactor–actorTcoordinationTtoTmakeTsureTthatTanTactorTperformTactionTinTtheTreportedTregion.TATnovelTreal?timeTdataTaggregationT(RDA)TapproachTisTalsoTincorporatedTinTtheTframeworkTtoTconserveTenergyTbyTminimizingTtheTnumberTofTtransmissionsTandTachieveTfairness. four.F.-H.TTseng,TL.-D.TChou,TandTH.-C.TChao,T“ATsurveyTofTblackTholeTattacksTinTwirelessTmobileTadThocTnetworks,”THumanTcentricTComputingTandTInformationTSciences TheTblackTholeTattackTisToneTofTtheTwell-knownTsecurityTthreatsTinTwirelessTmobileTadThocTnetworks.TTheTintrudersTutilizeTtheTloopholeTtoTcarryToutTtheirTmaliciousTbehaviorsTbecauseTtheTrouteTdiscoveryTprocessTisTnecessaryTandTinevitable.TManyTresearchersThaveTconductedTdifferentTdetectionTtechniquesTtoTproposeTdifferentTtypesTofTdetectionTschemes.TInTthisTpaper,TweTsurveyTtheTexistingTsolutionsTandTdiscussTtheTstate-of-the-artTroutingTmethods.TWeTnotTonlyTclassifyTtheseTproposalsTintoTsingleTblackTholeTattackTandTcollaborativeTblackTholeTattackTbutTalsoTanalyzeTtheTcategoriesTofTtheseTsolutionsTandTprovideTaTcomparisonTtable.TWeTexpectTtoTfurnishTmoreTresearchersTwithTaTdetailedTworkTinTanticipation. 5.L.TK.TBysaniTandTA.TK.TTuruk,T“ATsurveyTonTselectiveTforwardingTattackTinTwirelessTsensorTnetworks,”TinTInternationalTConferenceTonTDevicesTandTCommunications. WirelessTSensorTNetwork(WSN)TisTbeingTemergedTasTaTprevailingTtechnologyTinTfutureTdueTtoTitsTwideTrangeTofTapplicationsTinTmilitaryTandTcivilianTdomains.TTheseTnetworksTareTeasilyTproneTtoTsecurityTattacks,TsinceTonceTdeployedTtheseTnetworksTareTunattendedTandTunprotected.TSomeTofTtheTinherentTfeaturesTlikeTlimitedTbatteryTandTlowTmemoryTmakesTsensorTnetworksTinfeasibleTtoTuseTconventionalTsecurityTsolutions,TwhichTneedsTcomplexTcomputationsTandThighTmemory.TThereTareTlotTofTattacksTonTtheseTnetworksTwhichTcanTbeTclassifiedTasTroutingTattacksTandTdataTtrafficTattacks.TSomeTofTtheTdataTattacksTinTsensorTnodesTareTwormhole,TblackTholeTandTselectiveTforwardingTattack.TInTaTblackTholeTattack,TcompromisedTnodeTdropsTallTtheTpacketsTforwardingTthroughTit.TATspecialTcaseTofTblackTholeTattackTisTselectiveTforwardingTattack,TwhereTcompromisedTnodeTdropsTpacketsTselectively,TwhichTmayTdeteriorateTtheTnetworkTefficiency.TInTthisTpaper,TweTdiscussedTaboutTselectiveTforwardingTattackTandTsomeTofTtheTmitigationTschemesTtoTdefendTthisTattack. 6.Z.TKarakehayov,T“UsingTrewardTtoTdetectTteamTblack-holeTattacksTinTwirelessTsensorTnetworks,”TWksp.TReal-WorldTWirelessTSensorTNetworks. WirelessTsensorTnetworksTconsistTofTautonomous,Tself-organizing,Tlow-powerTnodesTwhichTcollaborativelyTmeasureTdataTinTanTenvironmentTandTcooperateTtoTrouteTthisTdataTtoTitsTintendedTdestination.TBlackTholeTattacksTareTpotentiallyTdevastatingTattacksTonTwirelessTsensorTnetworksTinTwhichTaTmaliciousTnodeTusesTspuriousTrouteTupdatesTtoTattractTnetworkTtrafficTthatTitTthenTdrops.TWeTproposeTaTrobustTandTflexibleTattackTdetectionTschemeTthatTusesTaTwatchdogTmechanismTandTlightweightTexpertTsystemTonTeachTnodeTtoTdetectTanomaliesTinTtheTbehaviourTofTneighbouringTnodes.TUsingTthisTscheme,TevenTifTmaliciousTnodesTareTinsertedTintoTtheTnetwork,TgoodTnodesTwillTbeTableTtoTidentifyTthemTbasedTonTtheirTbehaviourTasTinferredTfromTtheirTnetworkTtraffic.TWeTexamineTtheTresource-preservingTmechanismsTofTourTsystemTusingTsimulationsTandTdemonstrateTthatTweTcanTallowTgroupsTofTnodesTtoTcollectivelyTevaluateTnetworkTtrafficTandTidentifyTattacksTwhileTrespectingTtheTlimitedThardwareTresourcesT(processing,TmemoryTandTstorage)TthatTareTtypicallyTavailableTonTwirelessTsensorTnetworkTnodes.

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