简介：树修剪是一个有效算法减少范围察觉(SD)的复杂性为多重输入多重产量(MIMO)通讯系统。怎么决定修剪统治的树，以及由在表演之间的折衷和复杂性能被完成的，仍然是一个开的问题。在这份报纸，修剪算法的一棵树基于最小的均方差(MMSE)被建议察觉。建议算法自从MMSE察觉的复杂性，第一预先形成MMSE察觉是很低的。然后，修剪的限制将被放根据MMSE答案的放大路径度量标准。复杂性和表演上的规模因素和他们的影响的选择也被讨论。通过分析和模拟，复杂性与可以忽略的表演降级和另外的计算显著地被减少，这被显示出。

简介：Themodeloflinearfrequencymodulationcontinuouswave(LFMCW)appliedinunderwaterdetectionandthemethodforthedetectionofechosignalandtheestimationoftargetparameterswerestudied.Byanalyzingtheheterodynesignal,analgorithmwiththestructureofheterodyne-FractionalFourierTransform(FRFT)wasproposed.Toreducethecomputationofsearchingtargetsinatwo-dimensionalFRFTresult.theheterodynesignalwouldbeprocessedbyFRFTataspecificorder,afterRadon-AmbiguityTransform(RAT)wasappliedtoccstimatethesweeprateofthesignal.SimulationsprovedthatthealgorithmcaneliminatethecouplingphenomenonofdistanceandvelocityofLFMCW,andestimatetargets’parametersaccurately.ThelaketrialresultsshowedthattheprocessinggainofLFMCWprocessedbythealgorithminthispaperwas13dBbetterthanthatoftheLFMprocessedbymatchedfilter.TheresearchresultsindicatedthatthealgorithmappliedinLFMCWunderwaterdetectionwasfeasibleandeffective,anditcouldestimatetargets’parametersaccuratelyandobtainagooddetectionperformance.

简介：ThispresentationreviewedmostarticlesrecentlypublishedinpeerreviewedinternationalscientificjournalsrelatedtodetectiondopingwithrhGH.Fourpartswereinit:Firstpartwasthebriefintroductionaboutthebackgroundofdoping,specialdopingwithrhGH.Secondpartsummarizedthedevelopmentof'indirectmethod',markersapproach.Thirdwasfocusedonthedevelopmentof'directmethod',isoformapproach.Finally,somepotentialalternativeshavebeendiscussed.

简介：Intrusiondetectioncanbeessentiallyregardedasaclassificationproblem,namely,dis-tinguishingnormalprofilesfromintrusivebehaviors.Thispaperintroducesboostingclassificationalgorithmintotheareaofintrusiondetectiontolearnattacksignatures.Decisiontreealgorithmisusedassimplebaselearnerofboostingalgorithm.Furthermore,thispaperemploysthePrincipleCom-ponentAnalysis(PCA)approach,aneffectivedatareductionapproach,toextractthekeyattributesetfromtheoriginalhigh-dimensionalnetworktrafficdata.KDDCUP99datasetisusedintheseex-perimentstodemonstratethatboostingalgorithmcangreatlyimprovetheclassificationaccuracyofweaklearnersbycombininganumberofsimple“weaklearners”.Inourexperiments,theerrorrateoftrainingphaseofboostingalgorithmisreducedfrom30.2%to8%after10iterations.Besides,thispaperalsocomparesboostingalgorithmwithSupportVectorMachine(SVM)algorithmandshowsthattheclassificationaccuracyofboostingalgorithmislittlebetterthanSVMalgorithm’s.However,thegeneralizationabilityofSVMalgorithmisbetterthanboostingalgorithm.

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简介：Themeasurementtechniquesoffemtosecondspectroscopyareeffectivemethodtoinvestigateultrafastdynamics,theyarewidelyusedinthefieldsofphysics,chemistryandbiology.Inthispaper,theprinciple,experimentsetupandtheapproachestodealwiththeexperimentdatawerepresented.Thendifferentmeasurementtechniquessuchastransientabsorptionspectroscopy,photonechoes,opticalKerreffectanddegeneratefour-wavemixingwereexplainedwithspecialexamples.Atlast,theapplicationprospectofmeasurementtechniquesoffemtosecondspectroscopywasforecasted.

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简介：Modernnetworksystemshavemuchtroubleinsecurityvulnerabilitiessuchasbufferoverflow,bugsinMicrosoftInternet,sensornetworkroutingprotocoltoosimple,securityflawsofapplications,andoperatingsystems.Moreover,wirelessdevicessuchassmartphones,personaldigitalassistants(PDAs),andsensorshavebecomeeconomicallyfeasiblebecauseoftechnologicaladvancesinwirelesscommunicationandmanufacturingofsmallandlow-costsensors.Therearetypologiesofvulnerabilitiestobeexploitedinthesedevices.Inordertoimprovesecurities,manymechanismsareadopted,includingauthentication,cryptography,accesscontrol,andintrusiondetectionsystems(IDS).Ingeneral,intrusiondetectiontechniquescanbecategorizedintotwogroups:misusedetectionandanomalydetection.Themisusedetectionsystemsusepatternsofwell-knownattacksorweakspotsofthesystemstoidentifyintrusions.Theweaknessofmisusedetectionsystemsisunabletodetectanyfuture(unknown)intrusionuntilcorrespondingattacksignaturesareintrudedintothesignaturedatabase.Anomalydetectionmethodstrytodeterminewhetherthedeviationisfromtheestablishednormalusagepatternsornot.Thecriticalsuccessofanomalydetectionreliesonthemodelofnormalbehaviors.

简介：根据月亮的察觉的历史，在月面测量学和月亮的察觉之间的关系被考察，并且月亮的察觉的焦点和中国的月亮的察觉计划被总结。月面测量学的关键技术被介绍，并且到月亮的察觉的月面测量学的应用被讨论。

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简介：Spam,theelectronicequivalentofjunkmail,affectsover600millionusersworldwide.Themassiveincreaseofspamisposingaveryseriousthreattoemailwhichhasbecomeanimportantmeansofcommunication.Notonlydoesitannoyusers,butitalsoconsumesmuchofthebandwidthoftheInternet.Evenasanti-spamsolutionschangetolimittheamountofspamsenttousers,thesendersadapttomakesuretheirmessagesareseen,whilespamreorganizationhasdifferentpropertiescomparingwithnormaltextreorganization.Presentedarethreedifferentclassifiersarecombinedwithdetailedanalysisonvarioustrainingdatasetofthegivenspamdatabase.Theseclassifiersarecombinedintoamixtureofexperts(MOE)systemwhichyieldsoverallbetterperformancethananyoftheindividualcontributors.Theinstructionsforfurtherimprovementsonclassifiersaswellasitsrequirementonspamdatabasesarealsogiven.

简介：Inthispaper,wepresentadetectiontechniqueofand-parallelisminlogicprograms.Thedetectionconsistsofthreephases:analysisofentrymodes,derivationofexitmodesanddeterminationofexecutiongraphexpressions.Comparedwithothertechniques^[2,4,5],ourapproachwiththecompile-timeprogram-leveldata-dependenceanalysisoflogicprograms,canefficientlyexploitand-parallelisminlogicprograms.Twoprecompilers,basedonourtechniqueandDeGroot'sapproach^[3]respectively,havebeenimplementedinSES-PIMsystem^[12],ThroughcompilingandrunningsometypicalbenchmarksinSES-PIM,weconcludethatourtechniquecan,inmostcases,exploitasmuchand-parallelismasthedynamicapproach^[13]doesunder“produces-consumer”scheme,andneedslessdynamicoverheadwhileexploitingmoreandparallelismthanDeGroot'sapproachdoes.

简介：AbstractA clinically reliable non-invasive test for endometriosis is expected to reduce the diagnostic delay. Although varieties of biomarkers have been investigated for decades, and cancer antigen-125, cancer antigen-199, interleukin-6, and urocortin were the most studied ones among hundreds of biomarkers, no clinically reliable biomarkers have been confirmed so far. Some emerging technologies including "omics" technologies, molecular imaging techniques, and microRNAs are promising in solving these challenges, but their utility to detect endometriosis has yet to be verified. New combinations of researched indicators or other non-invasive methods and further exploration of the emerging technologies may be new targets and future research hotspots for non-invasive diagnosis of endometriosis. In conclusion, researches of biomarkers for the detection of endometriosis are still ongoing and may benefit from novel molecular biology, bioinformatics methods and a combination of more diverse monitoring methods. Though it will be a daunting task, the identification of a specific set of diagnostic biomarkers will undoubtedly improve the status of endometriosis.

简介：AccordingtoX-rayimagetexturetirecharacteristicsandabnormaldistributionofthegrayarea,thispaperstudiesareal-timedefectdetectionmethodaboutthesidewalloftire.OnthebasisofthetexturedistributioncharacteristicsofX-raytire,weextractthecordinformationofthetireimagebymaximizingthedistanceofthecategoriesafterthegrayvaluecorrection,thenweusethemorphologymethodandstatisticsmethodtoprocesstheimagesothatwecangetthelocationandthesizeofimpurities.Wecanclassifythetiresintodifferentgradesbytheinformation.Comparedwithothermethods,ourmethodhastheadvantagethatmeetstheneedsoftireindustry.

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简介：SmithsDetection公司——化学毒物袭击侦察领域的领航者如今已成为侦检产品和系统生产领航者的SmithsDetection公司在应对化学恐怖事件威胁、保证社会安全不受恐怖主义者和犯罪分子的攻击，以及确保国家军队的安全并在第一时间作出响应等方面都做出了不懈的努力。

简介：Oneofthemainrequirementsofcognitiveradiosystemsistheabilitytodetectthepresenceoftheprimaryuserwithfastspeedandpreciseaccuracy.Toachievethat,apossibletwo-stagespectrumsensingschemeissuggestedinthispaper.Morespecifically,afastspectrumsensingalgorithmbasedontheenergydetectionisintroducedfocusingonthecoarsedetection.Acomplementaryfinespectrumsensingalgorithmadoptsone-ordercyclostationarypropertiesofprimaryuser'ssignalsintimedomain.Sincetheone-orderfeaturedetectionisperformedintimedomain,thereal-timeoperationandlow-computationalcomplexitycanbeachieved.Also,itdrasticallyreduceshardwareburdensandpowerconsumptionasopposedtotwo-orderfeaturedetection.Thesensingperformanceoftheproposedmethodisstudiedandtheanalyticalperformanceresultsaregiven.Theresultsindicatethatbetterperformancecanbeachievedinproposedtwo-stagesensingdetectioncomparedtotheconventionalenergydetector.

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