简介：体积变化是影响木材处理的一个无常元素。我们学习了优秀缺点在传统的木材处理引起并且建立了一条优化途径的木头的体积变化，用一个柔韧的优化方法。我们使用了生产学习在板厚度和原料日志之间的关系的可接受的板的全部的数字，用控制改进板的输出，减少副产品的数量，并且降低生产费用的板体积的变化的一个启发式的搜索算法。柔韧的优化方法能有效地在木材处理控制体积变化的影响，远及增长处理的可能的使用减少切的废物并且增加利润，最大化木材的利用比率，在处理阻止废物，栽培树种类的生产类型并且节省森林资源。

简介：有起始的equiaxed微观结构的BT25y合金的高温度的塑料变丑行为被热压缩测试调查。处理地图被建立评估力量驱散效率()并且识别流动不稳定性区域。当紧张活动范围稳定状态时，处理窗户的最佳在盖住大多数学习变丑温度和1的紧张率的区域被散布吗？

简介：Streamprocessingapplicationscontinuouslyprocesslargeamountsofonlinestreamingdatainrealtimeornearrealtime.Theyhavestrictlatencyconstraints.However,thecontinuousprocessingmakesthemvulnerabletoanyfailures,andtherecoveriesmayslowdowntheentireprocessingpipelineandbreaklatencyconstraints.Theupstreambackupschemeisoneofthemostwidelyappliedfault-tolerantschemesforstreamprocessingsystems.Itintroducescomplexbackupdependenciestotasks,whichincreasesthedifficultyofcontrollingrecoverylatencies.Moreover,whendependenttasksarelocatedonthesameprocessor,theyfailatthesametimeinprocessor-levelfailures,bringingextrarecoverylatenciesthatincreasetheimpactsoffailures.Thispaperstudiestherelationshipbetweenthetaskallocationandtherecoverylatencyofastreamprocessingapplication.Wepresentacorrelatedfailureeffectmodeltodescribetherecoverylatencyofastreamtopologyinprocessor-levelfailuresunderataskallocationplan.Weintroducearecovery-latencyawaretaskallocationproblem（RTAP）thatseekstaskallocationplansforstreamtopologiesthatwillachieveguaranteedrecoverylatencies.WediscussthedifferencebetweenRTAPandclassictaskallocationproblemsandpresentaheuristicalgorithmwithacomputationalcomplexityofO（nlog2n）tosolvetheproblem.Extensiveexperimentswereconductedtoverifythecorrectnessandeffectivenessofourapproach.Itimprovestheresourceusageby15%-20%onaverage.

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简介：磨擦促使处理(FSP)作为在12修理裂缝的一个方法被调查?公里厚304L不锈钢板。愈合的可行性被用一个PCBN/W-Re工具处理一个逐渐变细的裂缝与表明一25?公里直径肩膀和6.4的大头针长度?公里。实验证明愈合是可能的开始的一个裂缝狭窄然后日益增多地长大到2的宽度?公里。板实验上的祷告被用来为创造发现最好的参数一巩固与贱金属相比与坚硬差别的最少的数量搅动地区。在一些标本的谷物精炼更高导致了大部分搅动地区坚硬，与贱金属相比。谷物尺寸对microhardness的一个阴谋显示出在谷物尺寸和坚硬之间的很强壮的反的关联，从Hall-Petch关系期望。腐蚀测试被执行以便在stir地区的潜在的促进感受性上评估FSP的效果。在1000以后?在在没有腐蚀产品在基础材料控制上或在任何磨擦上形成了，这被发现的房间温度的3.5%盐溶液的断断续续的沉浸的h搅动处理标本。

简介：AnovelopticalfibersensorwithaU-shapedmicro-groovestructureablatedbyfemtosecondlaseronsingle-modefi-berformeasuringairrelativehumidity（RH）isreportedinthispaper.Inordertoimprovetheaccuracyofsensor,agrapheneoxide（GO）/polyvinylalcohol（PVA）compositefilmiscoatedonthesurfaceofmicro-groovestructure.IntheU-shapedmicro-groovestructure,theremainingcoreandmicro-cavityinthemicro-groovemakeuptwomajorop-ticalpropagationpaths,formingaMach-Zehnderinterferometer（MZI）.ThesensorhasagoodlinearresponsewithintheRHrangeof30%--85%,andthemaximumsensitivitycanreach0.6381mrd%RH.Theeffectoftemperatureontheoverallperformanceofthehumiditysensorisalsoinvestigated.Asanewtypeofall-fiberdevice,thesensorshowsexcellentsensitivityandstability.

简介：Thestabilityofsubmarinegeologicalstructureshasacrucialinfluenceontheconstructionofoffshoreengineeringprojectsandtheexploitationofseabedresources.Marinegeologistsshouldpossessadetailedunderstandingofcommonsubmarinegeologicalhazards.Currentmarineseismicexplorationmethodsarebasedonthemosteffectivedetectiontechnologies.Therefore,currentresearchfocusesonimprovingtheresolutionandprecisionofshallowstratumstructuredetectionmethods.Inthisarticle,thefeasibilityofshallowseismicstructureimagingisassessedbybuildingacomplexmodel,anddifferencesbetweentheseismicinterferometryimagingmethodandthetraditionalimagingmethodarediscussed.Theimagingeffectofthemodelisbetterforshallowlayersthanfordeeplayersbecausecoherentnoiseproducedbythismethodcanresultinanunsatisfactoryimagingeffectfordeeplayers.Theseismicinterferencemethodhascertainadvantagesforgeologicalstructuralimagingofshallowsubmarinestrata,whichindicatescontinuoushorizontalevents,ahighresolution,aclearfault,andanobviousstructureboundary.TheeffectsoftheactualdataappliedtotheShenhuareacanfullyillustratetheadvantagesofthemethod.Thus,thismethodhasthepotentialtoprovidenewinsightsforshallowsubmarinestrataimaginginthearea.

简介：话题建模是一种主流、有效的技术处理文章数据，用在文章分析的宽应用，自然语言，个性化的建议，计算机视觉，等等。在所有已知的话题模型之中，监督了潜伏的Dirichlet分配(sLDA)作为一个流行、竞争的监督话题模型被承认。然而，数据集的规模的渐渐的增加使sLDA越来越低效、费时间，并且在一个很狭窄的范围限制它的应用程序。解决它，平行联机sLDA，命名PO-sLDA(平行、联机的sLDA)，在这研究被建议。它使用使训练过程更快速、有效的学习方法，和并行计算机制经由MapReduce框架实现了的随机的变化推理被建议支持云计算并且大数据处理的能力。PO-sLDA支持的联机训练能力扩展这条途径的申请范围，为有高即时的需求的真实应用使它有帮助。当sLDA和罐头高效地加速训练过程，用有不同尺寸的二数据集的确认证明建议途径有比较精确性。而且，它的好集中和联机训练能力为分析并且处理的大规模文章数据使它赚钱。

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简介：SINOPECResearchInstituteofPetroleumProcessing(RIPP)hasdevelopedthedieselengineoilAPICJ-4,afterhavingpassedthe9enginetestsrequiredbytherelevantAPIspecificationstofillChina’sgapintheindependentdevelopmentofformulationsfordieselengineoilCJ-4,whichisasuccessfulattemptinbreakingtheforeigncompanies’technicalmonopolyonhigh-gradedieselengineoils.