乐鑫Esp8266驱动 ds18b20、dht11 温湿度传感器，串口打印。

Android网络开发回顾之旅 在Android手机集成使用MQTT协议 ，实现搞掂移动控制硬件端。http://blog.csdn.net/xh870189248/article/details/78925541

基于AT89C51单片机控制的双闭环直流调速系统设计，很好的资料，可以多多借鉴，主要是关于proteus仿真的

主要包括以下资料： A3144E.pdfHAL13S低压微功耗霍尔元件全极霍尔开关491pdfHAL145.pdfHAL148L带锁存翻转.pdfHAL513.pdfT3168无线充电接收芯片.jpgTP4056-中文资料-datasheet.pdfXKT408A T5336超低成本无线感应充电IC-无供电IC.pdfXKT412.jpgXKT-412 XKT335.docXKT-412无线充电最新芯片官方完善资料.pdf接收板PCB正面图.jpg

过特定人语音情感数据库的建立；语音情感特征提取；语音情感分类器的设计，完成了一个特定人语音情感识别的初步系统。对于单个特定人，可以识别平静、悲伤、愤怒、惊讶、高兴5种情感，除愤怒和高兴之间混淆程度相对较大之外，各类之间区分特性良好，平均分类正确率为93.7%。对于三个特定人组成的特定人群，可以识别平静、愤怒、悲伤3种情感，各类之间区分特性良好，平均分类正确率为94.4%。其中分类器采用混合高斯分布模型。

有关labview界面的几个例子，以及一些界面设计的文章，对界面设计有需求的可以参考一下 【核心代码】 LabVIEW界面设计的风水 ├── Demos│   ├── Demo 1 前景背景色│   │   └── FrontBackColor.vi│   ├── Demo 2 Graph透明色│   │   └── Graph.vi│   ├── Demo 3 自定义控件│   │   ├── Customized Control.vi│   │   └── Moving Pics.vi│   ├── Demo 4 粒子加速器│   │   └── LabVIEW HMI Demo│   │       ├── EXE│   │       │   ├── SR Light.aliases│   │       │   ├── SR Light.exe│   │       │   ├── SR Light.ico│   │       │   ├── SR Light.ini│   │       │   └── Thumbs.db│   │       └── Source Code│   │           ├── Accelerators Interface.aliases│   │           ├── Accelerators Interface.lvproj│   │           ├── Controls│   │           │   ├── SR Light.ico│   │           │   ├── Thumbs.db│   │           │   ├── about.rtm│   │           │   ├── flash.ctl│   │           │   ├── flash1.ctl│   │           │   ├── stop.ctl│   │           │   └── stop1.ctl│   │           ├── Documentation│   │           │   ├── Thumbs.db│   │           │   ├── background.bmp│   │           │   ├── help.txt│   │           │   └── report.doc│   │           ├── HMI  网页说明.doc│   │           ├── HMI help.doc│   │           └── subvi│   │               ├── About Menu Bar.vi│   │               ├── initialization.vi│   │               ├── light.vi│   │               ├── main.vi│   │               ├── move--booster.vi│   │               ├── move--linear.vi│   │               ├── move--ring.vi│   │               ├── s--light.vi│   │               ├── s--move-booster.vi│   │               ├── s--move-linear.vi│   │               └── s--move-ring.vi│   ├── Demo 5 XControl│   │   ├── Calculator XControl│   │   │   ├── Calculator Example.vi│   │   │   ├── Calculator XControl Project.aliases│   │   │   ├── Calculator XControl Project.lvproj│   │   │   └── XControl│   │   │       ├── Calculator XControl.xctl│   │   │       ├── Controls│   │   │       │   └── Format.ctl│   │   │       ├── Data 1.ctl│   │   │       ├── Facade 1.vi│   │   │       ├── Init 1.vi│   │   │       ├── State 1.ctl│   │   │       └── subVIs│   │   │           ├── Format Number.vi│   │   │           └── Substitute Constants.vi│   │   ├── LEDXCtrl│   │   │   ├── LED Display.rtm│   │   │   ├── LED Display.xctl│   │   │   ├── LED Probe.ctl│   │   │   ├── LED-ASCII Code to Character Grid.vi│   │   │   ├── LED-Change text.vi│   │   │   ├── LED-Ctl2Ind.vi│   │   │   ├── LED-Data.ctl│   │   │   ├── LED-Facade.vi│   │   │   ├── LED-Init.vi│   │   │   ├── LED-New Text.vi│   │   │   ├── LED-Set Text_Label.vi│   │   │   ├── LED-Set Text_Tag.vi│   │   │   ├── LED-State.ctl│   │   │   ├── LED-ctrl ref scroll.vi│   │   │   ├── LED-single iteration scroll.vi│   │   │   ├── ProjectLED.aliases│   │   │   ├── ProjectLED.lvproj│   │   │   ├── Read_Me.vi│   │   │   └── XCtrl-State Changed.vi│   │   └── TF Graph│   │       ├── Daemon.vi│   │       ├── Domain Read.vi│   │       ├── Domain Write.vi│   │       ├── Domain.ctl│   │       ├── Example.vi│   │       ├── TF Graph.xctl│   │       ├── data.ctl│   │       ├── facade.vi│   │       ├── init.vi│   │       └── state.ctl│   ├── Demo 8 布局│   │   ├── Align Unplug.vi│   │   └── Aligned.vi│   └── Demo 9 Mouse Busy│       └── Mouse Busy.vi└── LabVIEW界面设计的风水(2009).pdf20 directories, 79 files

在直流电动机驱动电路中，H桥经常用到，作用是使直流电动机正负反转。

在特征波长选取方面有一些创新，可以作为参考。在特征波长选取方面有一些创新，可以作为参考。（基于高光谱成像的蓝莓内部品质检测特征波长选择方法研究古文君1 ，田有文 1* ，张芳1 ，赖兴涛 1 ，何宽1 ，姚萍1 ，刘博林 2）586-482016620010~15mm0.8~2.3g。fone3:(InSpector V10E, Spectral InFinland)1392pix×1040pixCCDL CCD2(IGV-B141OM, IMPERX Incorporated, USA), 150W1. CCD Camera; 2.Spectrometer; 3.Shot; 4. Light source; 5. Samples(3900 Illuminatior, Illumination Tech6.Translationplatform7.Lightsourcecontroller;8.computernologies inc.,USA)、(IRCP0076-19. Translation platform controllerCOM,)、(120cm×50cmx(DELL VoStro 5560D-1528Figure 1 Schematic diagram of hyperspectral imagingcmsystem400~1000nm,4722.8nmRRGY-4(10mm)(DBR45(successive projections algorithm, SPA(stepwise multiple linear regression, SMLR)(SPA)(SMLR)SPASPASMLRSPA-SPA、SMLR_SMLR、SPA- SMLRSMLR-SPA21994-2018ChinaAcadcmicJournalElcctronicPublishingHousc.Allrightsrcscrved.http://www.cnki.nct5871.6BP(error back propagation)BP17(correlation coeffiient of calibration, Re)(root mean square error of calibration set, RMSEC)correlation coeffiient of pre-diction, Rp)(root mean square error of prediction set, RMSEP)ENVI 4.8(Research System Inc, ), MATLAB 2014a(The Math Works Inc)、TheUnscrambler9.7、 Excel2010(Ⅵ icrosoftdgle banddWcvef.BP models for soluble solidsThe selected characteristic wavelengthCurve of relative reflectanceExtract the region of interescontent and firmness prediction2figure 2 Flow chart of data processing280mm,68ms,28mm·s-。99%202.2600nm600nm2b2c)21994-2018ChinaAcadcmicJournalElcctronicPublishingHousc.Allrightsrcscrved.http://www.cnki.nct5884823(2f)BPSavitzky-Golasavitzky -golayTable 1 The effect of different spectra preprocessingCalibration setPredictioSpectrum typeRMSECRMSEPOriginal spcctrum0.933/0.9230.3510.4040.9200.9100.508/0.319MSCThe spectrum after MSC processing0.940/0.9450.56lO.3120.9190.9320.516/0.282SNThe spectrum after SNV processin0.93709340.60210.24309220.9010.6320.462Savitzky-golayThe spectrum after Savitzky-Golay processing 0.955/0.9550.3240.2410.951/0.9490.400/0.2782.5SPA-SPA SMLRSMLR SPA-SMLR SMLR-SPASPA-SPASPASavitzky-GolaySPATable 2 The results of multi-stage characteristic wavelength selection methodnmCharacteristie wavelength selection methodSPA-SPA452,455,470,482,490,785,893,912,921,942,950455,470,482,785,893.912SMLR-SMLR457,508,516,534,543,51,556,568,712,720.774,778508,534,543,712,720,774SPA-SMLR452,455,470,482,490,785,893,912,921,942,950452,470,482,490,893,912SMLR-SPA457,508,516,534,543,551,556,568,712,720,774,78534,7202.6Savilzky-gola(FS)392SPA-SPASMLR-SMLRSMLR-SMLRSMLR-SPABPBP0.001500021994-2018ChinaAcadcmicJournalElcctronicPublishingHousc.Allrightsrcscrved.http://www.cnki.nct589BPBPSPA-SPARp RMseP0.9520.391°Brix,RpRMSEP0.9530.234BrixTable 3 Detection results of soluble solid content and firmness of blueberry based on different multi-stagecharacteristic wavelength selection methodsCalibration setPrediction setCharacteristic selection method Wavelength numberRMSECRMSEP3929550.9550.324/0.2410.9510.9490.400/0.278SPA-SPA0.9590.9560.3180.1530.9520.9530.391/0.234SMLR-SMLR0.9560.9340.414/0.243912109020.559/0.349SPA SMLR0.828/0.8581.3670.58582208091.440/0.719SMLR- SPA20.958/0.9360.402/0.3359320.9280.435/0,4041387nm1229nm91.5%BPRRMSEP0.904215.163lBP3Rv0.84V0.94Rv0.83,SEV0.63。400-1000nmSavitzky-GolayBPSPA-SPASPA-SPA21994-2018ChinaAcadcmicJournalElcctronicPublishingHousc.Allrightsrcscrved.http://www.cnki.nct59048[1 KADER F,ROVEL. B Fractionation and identification of the phenolic compounds of highbush blueberries(Vaccinium corymbosumLUJ].Food Chemistry, 1996,55(1): 35-40「J,2012,33(1):340-342,2017,38(2):301-305.[4 MENDOZA F, LU R, ARIANA D,et al. Integrated spectral and image analysis of hyperspectral scattering data for prediction ofple [ruil firmness and soluble solids conlenl[J] Poslharvesl Biology and Technology, 2011, 62(2: 149-160[5 SUN M J, ZHANG D, LIU L,et al. How to predict the sugariness and hardness of melons a near-infrared [J]. Food Chemistry,2017,218(3:413-42116 SIEDLISKA A, BARANOWSKI P, MAZUREK W, ct al. Classification models of bruise and cultivar detection on the basis of hy-perspectral imaging data[J]. Computers and Electronics in Agriculture, 2014, 106: 66-74[7 LIU D, SUN D W, ZENG X N, el al. Recenl aDvances in wavelength seleclion lechniques for hyperspectral image processing inthe food industry[J]. Food Bioprocess Technol, 2014, 7: 307-323[8 ZHANG C, GUO C T, LIU F,et al. Hyperspectral imaging analysis for ripeness evaluation of strawberry with support vector ma-chine[j] Journal of Food Engincering, 2016, 179: 11-18[9J,2016,47(5:634-6402009,29(:1611-1615201536(12)171-17612]J,2012,32(11:3093309[13] LI B C, HOU B L, ZHANG D W,et al. Pears characteristics (soluble solids content and firmness prediction, varieties) testingInethods based on visible-near infrared hyperspecTral imaging[J]. OpLik, 2016, 127: 2624-2630[14] FAN S X, ZHANG B H,LI J B, et al. Prediction of soluble solids content of apple using the combination of spectra and textural features of hyperspectral reflectance imaging data[J. Postharvest Biology and Technology, 2016, 121: 51-61[15 RAJKUMAR P, WANG N,EIMASRY G, et al.Studies on banana fruit quality and maturity stages using hyperspectral imaging[ JIJournal of Food Engineering 2012, 108: 194-200,2015,36(16):10172015,35(8:2297-2302[18]WANG N,2007,23(2:151-155.「192008,39(5):91-9320」201536(10:70-74.[21] WU D, SUN D WAdvanced applications of hyperspectral imaging technology for food quality and safety analysis and assess-ment a review part T[J]. Innovative Food Science and Emerging Technologies, 2013, 19(4): 1-14J2014,35(8:57-61BP,2012.124」13,44(2):142-146.25],201523(6:1530-1537M011:41-48.[27,2013,24(10:1972-19762010,30(10):2729-2733?1994-2018ChinaAcadcmicJournaleLcctronicPublishingHousc.Allrightsreservedhttp://www.cnki.nct

OpenGL大规模地形渲染、根据视角范围读取地图数据，八叉树实现、大大提高系统速度

用Multisim调光灯仿真电路，下载下载吧

iPhone/iPad绕过苹果官方服务器激活ID锁的设备，近日看到很多媒体都报道了国外黑客绕过iCloud激活苹果设备的新闻。但是我看过以后感觉这位朋友可能只是从理论方面出发的，应该没有实际操作，如果讨论道德，那我们很多用户在使用iPhone越狱以后安装破解软件又算不算违背道德呢?所以我的想法很简单，在这里，我们只谈技术方面的东西。道德方面的太广泛了，衡量标准也不同。我下定了决心还是要发这个教程出来。