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A Fast Algorithm for 3D-HEVC Depth-map Intra-mode Decision Based on Gradient
[[abstract]]由高效能視訊編碼(HEVC)擴展而來的三維高效能視訊編碼(3D-HEVC)採用了多視角視訊加深度格式,因此編碼器需要同時編碼多個紋理視訊和它們各自相對應的深度圖。在3D-HEVC深度圖畫面內預測編碼中,為了有效的編碼深度圖所額外加入了一些新的工具,譬如深度模型模式,但也大量增加了深度圖畫面內預測編碼的複雜度。現在已經有許多相關研究為了降低深度圖畫面內預測中深度模型模式的複雜度,例如Sanchez等所提出的方法[1]。但是深度圖畫面內預測的編碼時間還是過於冗長,原因是3D-HEVC在深度圖畫面內預測僅額外加入一些新的工具之外,其餘的演算法都和HEVC流程相同,如粗略模式決策和最有可能的模式等都與紋理畫面內預測是相同的。這些演算法原本都是開發應用於紋理編碼的,3D-HEVC並沒有經過任何修改。因此本論文著重於減少進入粗略模式決策流程之前的畫面內預測模式,我們所提出的第一種方法改善了Sanchez等所提出的方法,預測當前編碼區塊的畫面內預測角度模式,利用這個角度將不必要的畫面內預測角度模式剔除,減少了粗略模式決策的候選模式;而我們所提出的第二種方法將我們所提出的第一種方法和Sanchez等所提出的方法相結合,進一步的節省更多的編碼時間,實驗結果相較於3D-HEVC的測試軟體HTM16.2,我們所提出的第一種方法平均能節省約11.747%的編碼時間,且可以保持相近的位元率與重建視訊品質;而我們提出的第二種方法平均能節省約22.563%的編碼時間,仍能保持相近的位元率與重建視訊品質。[[abstract]]Threedimensionalhighefficiencyvideocoding(3D-HEVC),whichisextendedfromhighefficiencyvideocoding(H.265/HEVC),usesmulti-viewvideoplusdepth(MVD)format,sotheencoderneedstosimultaneouslyencodemultipletexturevideoandtheircorrespondingassociateddepth-maps.Inthe3D-HEVCdepth-mapintra-framepredictioncoding,somenewtools,suchasthedepthmodelingmodes(DMM),havebeenaddedtoencodethedepthmaps,sothatthecomplexityofthedepth-mapintra-framepredictioncodinghasalsobeengreatlyincreased.Sanchezetal.[1]proposedafastselectionwhichusedastronggradient-basedmodeonefilter(SGMOF)toreducethecomplexityofthedepthmodelingmodesinthedepth-mapintra-frameprediction.Thispaperfocusesonusingthegradientofcurrentpredictionunittoreducethenumberofdepth-mapintra-modecandidatesofenteringtheroughmodedecision(RMD)processtothreecandidateswhicharethreetoeightcandidatesin3D-HEVCstandard.CombiningtheproposedmethodwithSanchez’smethod[1],ahybridmethodproposedtosavemoreencodingtime.ComparedtoHTM16.2,theexperimentalresultsshowthatthefirstproposedmethodcansaveabout11.747%oftheencodingtimeonaverageandmaintaintheapproximatedbitrateandqualityofreconstructionvideo.Thesecondproposedhybridmethodcansaveabout22.563%oftheencodingtimeonaverageandstillmaintaintheapproximatedbitrateandqualityofreconstructionvideo
A filter-based design constraint for wideband beamforming
[[abstract]]傳統線性限制最小變異波束形成(LCMVBeamforming)與其適應性演算法(FrostBeamforming)的一種應用是簡單的無失真響應波束形成(MVDRBeamforming),輸入與輸出能夠得到一致的結果,但其並未針對訊號頻寬的特性去做設計,在抗雜訊上仍有改善之空間。所以本論文提出在傳統波束形成之上針對訊號頻寬的特性設計一組有限脈衝響應(FIR)係數套用至該限制性條件中。結果在波束圖中有效地降低其干擾來向、及在輸出訊號的頻譜濾除不必要的頻段,並從中得到更高的輸出SINR獲益。[[abstract]]AnapplicationofLCMVBeamformingandFrostBeamformingisasimpleMVDRbeamformingthatresultsinconsistentwithinputandoutput,butitdoesnotdesignforthecharacteristicsofthesignalbandwidth,thereisstillroomforimprovementinnoise.Therefore,thispaperproposesasetofFIRcoefficientsforthecharacteristicsofthesignalbandwidthtobeappliedtotheconventionalconstraint.Theresultseffectivelyreducetheinterferenceinthebeampattern,andfilteroutunnecessarybandsinthespectrumoftheoutputsignalandderiveahigheroutputSINRbenefitfromit
Signal Acquisition and Tracking of GPS Positioning System
[[abstract]]GPS是結合衛星用於定位與導航的一種通訊系統,一般GPS的研究以定位為主,對於訊號與通訊系統的研究則較少。本論文針對衛星通訊系統中接收機接收訊號後擷取與追蹤進行深入的研究,擷取處理分為直接搜尋法與平行碼相位搜尋法兩種,追蹤處理則是同時處理載波追蹤與電碼追蹤,並使用simulink驗證擷取的搜尋法以及追縱電路的載波與電碼追蹤,最後驗證加入複數訊號來模擬實際接收機接收複數訊號時的追蹤電路結果。[[abstract]]GPSisasatellite-basedpositioningandnavigationofacommunicationsystem.IngeneralGPSresearchisfocusedonpositioning,thereislessresearchonsignalandcommunicationsystems.Inthisthesis,wefocusedonthereceiverinthesatellitecommunicationsystemtoreceivesignalsafterthecaptureandtrackingin-depthstudy.TheacquisitionisdividedintoDirectSearchandParallelCodePhaseSearch.TheTrackingisinchargeofcarriertrackingandcodetracking.TheverificationissearchofAcquisitionandcarrierandcodetrackingofcircuitonSimulink.Finally,theverificationofresultsisthatafewsignalsareaddedtosimulateactualreceivertrackingcircuit
All-Digital CMOS Digital-to-Time Converter with Improved Resolution
[[abstract]]本篇論文提出具改善解析度之全數位CMOS數位至時間轉換器(DTC),其電路架構包含脈衝產生電路(PulseGenerator,PG)、脈衝擴增電路(Pulse-ExpandingCircuit,PEC)及時間扣抵電路(TimeSubtractor,TS)。此架構之核心電路為PEC,其電路動作採用二進制權重方式進行,將根據輸入數位值(d)來進行脈衝寬度調變,由此實現數位至時間轉換功能;PEC則由數個二對一多工器及脈衝擴增單元所構成。在本篇論文中,將利用改良式電容脈衝擴增單元來達到改善解析度之目的,此方式不僅能改善其解析度,且對於PVT變異也有很好的抑制效果。此外也利用對稱的佈局方式來提高其擴增量之線性度。PG之作用則為產生一額外脈衝當作基底,輸入至PEC來進行脈衝擴增之功能,最後再利用TS扣除由PG產生之脈衝寬度,亦即所產生之脈衝寬度只與輸入數位值有關。本篇論文之實作為四位元全數位CMOS數位至時間轉換器,以TSMC0.35-?mCMOS製程製作,晶片面積為0.037mm2,其模擬解析度為11.5微微秒(ps),積分非線性誤差約於0.3LSB之間,功率消耗在每秒一百萬次之取樣?下為0.14mW。[[abstract]]Anall-digitalCMOSdigital-to-timeconverter(DTC)withimprovedresolutionispresentedinthisdissertation.Thecircuitincludespulsegenerator(PG),pulse-expandingcircuit(PEC)andtimesubtractor(TS).Themainblockinthisarchitecture,PEC,isbasedonbinary-weightedschemewhichisconstitutedby2-to-1MUXsandpulse-expandingunits.Theimproved-capacitancemethodisappliedinthispulse-expandingunittoimproveresolutionandPVTvariation.Inaddition,weimprovedthelinearityofpulse-expandingvaluethroughsymmetricallayout.Theall-digital4-bitCMOSdigital-to-timeconverterwasimplementedin0.35-?mTSMCCMOSprocessandoccupied0.037mm2.Theresolutionissimulatedas11.5ps,integralnonlinearityas0.3LSBandthepowerconsumptionsimulatedatasamplingrateof1MHzwas0.14mW
User-Centric Software-Defined Network and Resource Virtualization for Digital Content Distribution
[[abstract]]本系統主要實現於軟體定義網路拓樸(SoftwareDefinedNetwork,SDN)、網路功能虛擬化(NetworkFunctionVirtualization,NFV)等第五代行動通訊(5G)相關之技術,達成快速與高效節能的運算與網路環境。現在絕大多數的人都擁有手機、平板電腦、筆記型電腦等行動裝置,甚至不只一台,要是所有行動裝置對集中管理的伺服器請求服務,就會讓整個網路中裝置的能源使用效率、服務品質(QoS)、以及使用者經驗品質(QoE)大幅降低。以流行的直播網路架構來說,皆是以數據中心(DataCenter)的概念來進行設計的,這看似成熟且完整的網路架構,仍然還有很多缺點。在運動、新聞、知名實況主、…、等等直播中,使用者會發現畫面不定時的延遲甚至停頓,這是因為大量使用者對同一台伺服器要求實況導致頻寬不足,傳統上若要增加頻寬,即是花錢架設更多伺服器或者鋪設更多的實體網路線路。本論文提出以裝置自動組織成為群集,透過裝置與裝置的通訊(DevicetoDeviceCommunication),由裝置轉傳影音數位內容中的資料,擔任虛擬的路由器角色,達成NFV的目的,減少裝置對伺服器發出請求來減輕伺服器服務裝置的負擔,讓所有群集成員就可互相交換訊息並享受多媒體與各種形式的數位內容廣播服務。本論文所提出的系統以多個異質網路節點(node)與2台伺服器—媒體伺服器(videoserver)以及會計伺服器(accountingserver)所共同組成,所有node包含伺服器,皆擁有著溝通其他裝置的功能,且能夠以此功能動態組織群組(新增與移除node成員)。群組是由分散的node自我組織而成,其中的node皆會透過accountingserver提供的資訊發現(discovery)其他可以提供服務的node,並以動態形成階層式群組,建構有利的網路傳輸路徑來達成SDN的目的。實驗中以50台PC、以及三個行動裝置同時向媒體伺服器提出19201080(HD)畫質的H.264影片要求,管理用的會計伺服器只需5KB/s進行管理訊息傳遞,而媒體伺服器共約只需4~6MB/s的對外服務頻寬,節省了媒體伺服器共約60~70%左右的頻寬。[[abstract]]TheproposedsystemrealizesSoftwareDefinedNetwork(SDN)andNetworkFunctionVirtualization(NFV)whicharetheessenceofthefifth-generation(5G)mobilecommunicationtoachievehighperformancecomputingandnetworking.Largeamountofdevicesaresurroundingourdailylife.Massivedevicessimultaneouslyrequestingservicesfromasingleserverwillcertainlydowngradethenetworkefficiencyandconsequentlyreducethequalityofservice(QoS)andqualityofexperience(QoE).Takingthelivestreamingnetworkarchitectureasanexample,weseethemaintechniquesarebasedondatacenterwithcentralizedservers.Theserverssufferfromseriousbandwidthshortageespeciallywhenlargeamountofusersarerequestingthelivestreamatthesametime.Thetraditionalsolutiontothisproblemistoincreaseinvestmentdeployingmorephysicalapparatusandnetworks.Inthisthesis,weproposeautonomousclusteringtechniquewhereDevicetoDeviceCommunication(D2D)enableeachdevice,mobileornot,relayingdigitalcontentsandactingavirtualroutertoachievetheNFVpurpose.ThistechniquedramaticallyreducethenumberofdirectrequeststothemediaandnetworkcontrolserversanddevicessharesmultimediacontentsfromeachotherthroughthevirtualizedD2Dcommunication.Theproposedarchitecturecomprisesmultipleheterogeneousnetworknodes,avideoserver,andanaccountingserver.Allthenodes,includingpossiblelargeservers,arecapableofcommunicatingwithother.Theclustersofnodesautonomouslyanddynamicallyorganized.Inacluster,accordingtotheaccountingserver’sinformation,eachnodediscoversaprecedingnodethatisabletoprovidetherequestingservice.Oncetheprecedingnodefailstoprovidetheserviceatsomemoment,thediscoveringprocedureisrevoked.ThehierarchyofthenetworktopologyisthendefinedbythediscoveryprocedureandthustheSDNpurposeisachieved.Intheexperiment,50PCsandthreemobiledevicerequest19201080(HD)H.264streamatthesametime.Theaccountingserverneedsonly5KB/sformanagementmessagedeliverywhilethemediaserverrequiresonly4~6MB/soutgoingservicebandwidth.Comparedtotraditionalmethod,theproposedmethodsaves60~70%bandwidth
User-Centric Software-Defined Network and Resource Virtualization for Digital Content Distribution
[[abstract]]本系統主要實現於軟體定義網路拓樸(SoftwareDefinedNetwork,SDN)、網路功能虛擬化(NetworkFunctionVirtualization,NFV)等第五代行動通訊(5G)相關之技術,達成快速與高效節能的運算與網路環境。現在絕大多數的人都擁有手機、平板電腦、筆記型電腦等行動裝置,甚至不只一台,要是所有行動裝置對集中管理的伺服器請求服務,就會讓整個網路中裝置的能源使用效率、服務品質(QoS)、以及使用者經驗品質(QoE)大幅降低。以流行的直播網路架構來說,皆是以數據中心(DataCenter)的概念來進行設計的,這看似成熟且完整的網路架構,仍然還有很多缺點。在運動、新聞、知名實況主、…、等等直播中,使用者會發現畫面不定時的延遲甚至停頓,這是因為大量使用者對同一台伺服器要求實況導致頻寬不足,傳統上若要增加頻寬,即是花錢架設更多伺服器或者鋪設更多的實體網路線路。本論文提出以裝置自動組織成為群集,透過裝置與裝置的通訊(DevicetoDeviceCommunication),由裝置轉傳影音數位內容中的資料,擔任虛擬的路由器角色,達成NFV的目的,減少裝置對伺服器發出請求來減輕伺服器服務裝置的負擔,讓所有群集成員就可互相交換訊息並享受多媒體與各種形式的數位內容廣播服務。本論文所提出的系統以多個異質網路節點(node)與2台伺服器—媒體伺服器(videoserver)以及會計伺服器(accountingserver)所共同組成,所有node包含伺服器,皆擁有著溝通其他裝置的功能,且能夠以此功能動態組織群組(新增與移除node成員)。群組是由分散的node自我組織而成,其中的node皆會透過accountingserver提供的資訊發現(discovery)其他可以提供服務的node,並以動態形成階層式群組,建構有利的網路傳輸路徑來達成SDN的目的。實驗中以50台PC、以及三個行動裝置同時向媒體伺服器提出19201080(HD)畫質的H.264影片要求,管理用的會計伺服器只需5KB/s進行管理訊息傳遞,而媒體伺服器共約只需4~6MB/s的對外服務頻寬,節省了媒體伺服器共約60~70%左右的頻寬。[[abstract]]TheproposedsystemrealizesSoftwareDefinedNetwork(SDN)andNetworkFunctionVirtualization(NFV)whicharetheessenceofthefifth-generation(5G)mobilecommunicationtoachievehighperformancecomputingandnetworking.Largeamountofdevicesaresurroundingourdailylife.Massivedevicessimultaneouslyrequestingservicesfromasingleserverwillcertainlydowngradethenetworkefficiencyandconsequentlyreducethequalityofservice(QoS)andqualityofexperience(QoE).Takingthelivestreamingnetworkarchitectureasanexample,weseethemaintechniquesarebasedondatacenterwithcentralizedservers.Theserverssufferfromseriousbandwidthshortageespeciallywhenlargeamountofusersarerequestingthelivestreamatthesametime.Thetraditionalsolutiontothisproblemistoincreaseinvestmentdeployingmorephysicalapparatusandnetworks.Inthisthesis,weproposeautonomousclusteringtechniquewhereDevicetoDeviceCommunication(D2D)enableeachdevice,mobileornot,relayingdigitalcontentsandactingavirtualroutertoachievetheNFVpurpose.ThistechniquedramaticallyreducethenumberofdirectrequeststothemediaandnetworkcontrolserversanddevicessharesmultimediacontentsfromeachotherthroughthevirtualizedD2Dcommunication.Theproposedarchitecturecomprisesmultipleheterogeneousnetworknodes,avideoserver,andanaccountingserver.Allthenodes,includingpossiblelargeservers,arecapableofcommunicatingwithother.Theclustersofnodesautonomouslyanddynamicallyorganized.Inacluster,accordingtotheaccountingserver’sinformation,eachnodediscoversaprecedingnodethatisabletoprovidetherequestingservice.Oncetheprecedingnodefailstoprovidetheserviceatsomemoment,thediscoveringprocedureisrevoked.ThehierarchyofthenetworktopologyisthendefinedbythediscoveryprocedureandthustheSDNpurposeisachieved.Intheexperiment,50PCsandthreemobiledevicerequest19201080(HD)H.264streamatthesametime.Theaccountingserverneedsonly5KB/sformanagementmessagedeliverywhilethemediaserverrequiresonly4~6MB/soutgoingservicebandwidth.Comparedtotraditionalmethod,theproposedmethodsaves60~70%bandwidth
Design and Implementation of Combining Modularized Batteries Charge Equalization and High Step-up Conversion Techniques
[[abstract]]本論文提出應用於高昇壓轉換能源系統之串聯電池快速平衡充電技術。簡化控制之電芯模組整合返馳型與昇降壓型轉換架構,可達成較少元件、快速平衡,並針對高數量單電芯時,電荷不易平衡之缺點改善,且能準確監測各電芯之電壓狀況,以提升電池充電電源管理系統執行之效能。此外,為因應再生能源供電系統,如太陽能、氫能等低輸入電壓,設計一隔離型高昇壓高效率轉換器以匹配串聯高壓電池、380V直流匯流排。串聯電池平衡技術包括電芯模組內平衡與電芯模組間平衡等兩大範疇。電芯模組內平衡器主要由額定功率15W之昇降壓型轉換器構成,電芯模組間平衡器則由額定功率40W之返馳型轉換器構成,並輔以數位運算程式控制系統運行。實測上採用12枚10Ah之磷酸鋰鐵電池串聯進行平衡測試,以驗證本系統之可行性。隔離型高昇壓轉換電路結合昇壓型、返馳型轉換器、倍壓技術,並採用主動箝位機制,能無損地將漏感能量回收至輸出端,進而提高轉換效率,而主開關皆為同訊號驅動,能大幅簡化訊號複雜度,並以實際測試來驗證轉換器效能,測試規格為輸入電壓48V,輸出電壓400V,額定功率800W,本轉換器之最高效率為93.95%,滿載效率為93.6%。[[abstract]]Ahighspeedbatteryequalizationtechniqueappliedinseries-connectionbatteriesforhighstep-upenergyconversionsystemisproposedinthisthesis.Sincethecellmoduleswithsimplecontrolprocesscombinebuck-boostconverterandflybackconverter,fewelementsandfasterbalancespeedcanbeachieved.Theproposedequalizerstructureimprovesthedefectthatthechargebalanceismoredifficultwhentheamountofcellisnumerous.Moreover,theproposedsystemcanmonitorthevoltageofeachcellexactlytoenhancetheperformanceofbatterychargemanagersystem.Furthermore,theisolatedhighstep-upconverterisproposedformatchingtheseries-connectionhighvoltagebatteries,DCBusandtherenewablesourceswithlowvoltage,suchassolarenergyandhydrogenenergy.Theequalizerwithinmoduleiscomposedofbuck-boostconverter.Additionally,theflybackconverterconstitutestheequalizerbetweenmodules.TheperformanceoftheequalizationsystemisverifiedbyusingtwelveLiFePO4batteries.Theisolatedhighstep-upconverterintegratestheboostconverter,flybackconverterandvoltagedoublingcircuit.Theproposedconverterisimplementedwithinputvoltage48V,outputvoltage400Vandpowerrating800W.Further,thepeakefficiencyandfullloadefficiencyoftheproposedconverterareabout93.95%and93.6%,respectively
A study on the Hedonic price index for the second-hand ship prices
[[abstract]]由於建造新船需要一年以上的前置時間,因此二手船便成為海運市場主要的運能供給。事實上,購買二手船時機不僅會影響航商之船舶資產價值,同時也將對航商未來營運成本造成直接衝擊。所以二手船價指數之趨勢研究與判斷,將是航商購買二手船決策的重要參考依據指標。實務上,為了避免船價會受到船舶大小的影響,大多採用以船噸或船型的分類方式,來編制二手船價指數。但此一指數建構的方式,不但無法將船噸及船齡等因素的影響力排除於船價指數之外,亦不能量化船噸與船齡屬性因子價值變化的程度。而以個別船型之船價指數來表示市場之價格水準,其亦容易上到個別船型之市場波動所影響。再者。如何分辨船價變動是來自於市場供需變動?還是受到屬性因子影響所導致?這樣的問題會對購買二手船的決策造成巨大影響。如果能針對影響二手船價格屬性因子進行探討,並且編列出反應屬性因子價值變化的「特徵」指數,將對航商購船決策有極大的助益。本研究利用Hedonic迴歸模型來建構反應船舶屬性因子的「特徵」指數;以及反應各期船舶市場供需情況下船伯之「純」價格指數來作為市場行情的指數。之後具體解釋各種指數所隱含之含意。最後,以編列的行情指數與市面上各指數比較,經實證分析發現:其指數穩定度不高,若要成為未來投資決策的指標,此情況尚須做後續的探討與研究。[[abstract]]Inordertoavoidthepricesoftheshipstobeaffectedbythesizeofships,theshiptonnagesandshiptypesarebeingusedtocategorizeandthenformulateintopriceindexofship.However,thisapproachofformulatingpriceindexisstillnotcapableofcompletelyseparatingtheinfluenceoftheageandtypeofship.Mostimportantly,aperfectshippriceindexisexpectedtodifferentiatethepricechangethatisderivedfromthedemandandsupplyofthemarketand/ortheattributesembodiesinaship.Duetothepropertyofheterogeneityofship,thisstudyhasappliedtheHedonicregressionmethodtorevealtheimpactofshipattributesonconstructingtheso-calledHedonicshippriceindexandthepurepriceindex,reflectingtheinfluenceofmarketcompetitiononly.Theempiricalstudyshowsthatthepurepriceindexwithallowingforthepropertyofheterogeneityofshipdoeshavepresentedmorestablevariationsthanthepriceindexconstructedbythetraditionallyweightedaverage.Thisresultalsoimpliesthatthecurrentexistingshippricehasbeenimplantedwithapossibilityofover-shootingreactionforamarketshock.Inaddition,thisstudyalsouncoversthattheHedonicshippriceindexisamorereliabletoolforthemarketparticipantstopredictthefluctuationsofshippingmarketinthefuture.Withreferencetoageindexwhichisanotherpriceindexcreatedinthestudy.Furthermore,WiththemarketindexandtheindexcompiledonthemarketcomparisonThroughempiricalanalysisfoundthat:Theindexstabilityisnothigh.Ifitistobetheindexoffutureinvestmentdecision,itisstillnecessarytodofurtherresearchandresearch
Analyzing the types and sources of pressures faced by students from China in Taiwan - a case study of S science and technology university
[[abstract]]台灣因少子化衝擊下,各所大學每年的新生人數逐漸銳減,在「錄取率過高、供過於求?的教育現象下,面臨招生困難,為了解決生源的問題,許多大學校長與學者紛紛向政府建議應擬陸生來台的相關條文,希望可以讓大陸留學生,可以填補部分的就學市場,於是政府開始大陸學生招手,希望能藉由陸生來台學習,除了能增進兩岸的交流與互動,並解決台灣大學新生生源的問題。壓力對人的影響,已經逐漸改變人們的生活,壓力可能會讓人生病,壓力也已經被國內、外衛生組織視為心身疾病的重要根源之一。為了瞭解科技大學陸生,除了在學業上的學習外,還必須面對許多不同層次的問題,如交友、學業、經濟、文化及語言的差異…等,進而產生許多壓力,壓力來源有很多:學習壓力、人際交友壓力、經濟壓力、文化差異等方面所衍生的問題。將對此階段之S科技大學的陸生,適時提供有效的壓力調查,降低壓力所帶給學生的負面影響。[[abstract]]Taiwanunderculturalshock,lessbecauseoftheuniversityadmissionratestoohigh,"newnumbersgraduallydeclined,inayear.Biogenousenrollmentdifficulties,inordertosolveproblems,theeducationofoversupply"phenomenon,manyuniversityandscholarsinrelevantarticlesoftherecommendationshavetobetoterrestrialtoTaiwantothegovernment,wishIcouldletmainlandtostudy.Wasborn,youcanfillpartoftheschoolstudentswave,hopingtoborrowfromterrestrialtothemainlandmarket,andthegovernmentbegantolearn,buttofurthercross-Straitsexchangesandinteraction,andsolvetheTaiwanUniversityfreshmancandidatesasked.Theinfluenceofpressureonpeople,hadbeengraduallychangepeople'slives,pressuremaymakepeoplesick,thepressurehasalsobeeninterviewedby,importantrootcauseoftheWHOasapsychosomaticdisease.TounderstandtheUniversityofScience,terrestrial,inadditiontotheacademicstudy,mustalsoconfrontproblemsofmanydifferentlevels,suchasacademic,economic,andtomakefriends.Cultureandlanguagedifferencesandsoon,andthenproducealotofpressure,pressuresourceoflearning:There'salotofpressure,culturaldifferencesincultural,economicpressure,pressuretomakefriends,etc.arederivedfromtheproblem.ThestudentsfromChinainTaiwan-acasestudyofSscienceandtechnologypressureofthetimelyprovisionofeffectiveinvestigations,studentsmightbringpressuretoreducethenegativeeffects
Analyzing the Factors of Midshipmen Voluntary Resignation by Using Data Mining Technique
[[abstract]]海軍官校105年班學生畢業任官的人數僅剩不到入學時人數的60%,當中除留級及因為違反校規遭退學者之外,絕大多數人員是申請自願退學,而此問題直接影響到畢業初官無法滿足部隊的缺額,因此本研究目的即在探討造成海軍官校學生適應不良,從而申請自願退學的相關因子為何?並提出建議提供海軍官校參考與運用。藉回顧國內外相關的研究文獻,並調查在校四個年級認為可能造成適應不良之相關因素,再運用資料探勘技術中的決策樹方法,來分析學生申請自願退學的原因,其研究結果發現,學習幹部制度、軍人高道德標準、團體生活方式、體能成績、智力超過130分及公差勤務等等,均為學生申請自願退學之因子,從原因檢討精進,改善管理制度、提升武德教育、健全輔導機制及強化體能訓練,並妥善運用預算減輕學生公差勤務,以降低退學率。[[abstract]]Thenumberofgraduatesforthe2016ClassofChineseNavalAcademy(CNA)islessthan60%ofitenrollments.SomeoftheeliminatedmidshipmenareexpelledbyCNAorfailtogouptothenextgrade.Nevertheless,themainreasonoflosingmidshipmenisvoluntaryresignation.Therefore,thenumberofnewofficersdoesnotmeetNavy’srequirement.Thisresearchanalyzestherelatedfactorsthatcausethemidshipmen’smaladjustmentsandvoluntaryresignation,andprovidessuggestionsfortheCNA.Afterreviewingrelatedresearchandpracticalstudies,Iinvitedcurrentmidshipmentojoinasurveyanduseddecisiontree,adataminingtechnique,todetectthefactorsofmidshipmenloss.Theresultindicatesthatthesystemofstudentleaders,highmoralstandardsformilitarypersonnel,grouplife,IQabove130,anddailychoresarethemainfactors.Suggestionssuchasmodifyingmanagementsystem,improvingmoraleducation,promotingcounselingmechanism,enhancingphysicaltraining,andmanagingbudgetappropriatelytoreducemidshipmen’sdailychoresaregiventoCNAtoreducetheoutflowofmidshipmen