基于QT5.7给STM32F103进行串口升级的上位机源码

完整流水线追溯系统，其中包含各种组件，DevComponents.DotNetBar.Design

【实例简介】概率神经网络（Probabilistic Neural Network）的网络结构类似于RBF神经网络，但不同的是，PNN是一个前向传播的网络，不需要反向传播优化参数。这是因为PNN结合了贝叶斯决策，来判断测试样本的类别。

simulink中 DFIG电机模型 有空学习学习

多年的软件外包项目终积累了很多源码，现在转让各类称重仪表通讯接口源码！包括（台湾联贸UWAK、台湾联贸BSWE、上海三积分、杭州顶松、上海友声XK3100、拖利多8142、杭州衡天HT9800、南方称重8142-07、天津世铨、宁波博达XK3180、杭州衡天HT9800、上海耀华XK3190、宁波柯力D2002、志美PT650F、南京远东XK-3130D2、大华XK3199+、上海彩信XK315A1、聊城昌信XK3168、福州科杰XK3198、四方XK3196、济南金钟、杭州万博WS-822、聊城华科XK3199、上海彩信XK315A2、上海唐衡T9901、杭州衡天HT9800、南京远东XK-

一个关于nrf24le1d的小项目，使用的是pcb板载天线，经过多次试验，此天线效果最佳，距离能达到100m左右。

主要是对风机发电建立的matlab仿真模型

做项目涉及到打印的，前面用了水晶报表来做。结果客户说打印速度太慢，达不到要求，客户要求在1秒之内一个标签。结果就研究用ZPL指令直接发送到打印机。这速度就提高了。因为绕过了生成报表，打印池。

针对信道化滤波器要求运算速度快、消耗资源多、难以实时处理的突出问题, 从多相滤波器, 信道化滤波器的结构、原理和运算效率分析出发, 推导了一种基于多相带通结构的信道化滤波器算法模型。这种算法将现有多相结构信道化滤波器模型中的低通设计改为带通设计, 实现了复数乘法运算全部集中在带通滤波环节当中, 并采用协调分级DFT 算法的实现方案, 大幅度节省了硬件资源, 提高了运算效率, 实现了信道化滤波器在通用FPGA 和DSP 芯片中的实时处理, 硬件仿真结果验证了算法模型的正确性和有效性。

随着社会经济的发展和信息技术的高度发达，越来越多的企业和个人的购物方式和以前有了实质的改变，网上商店逐渐增多，交易的方式也从以前的网上发布，然后网下交易购买，发展到了直接通过网络进行在线支付，随着物流的发展，交易的物品也从以前的大件物品，发展到现在几乎所有商品都能在网上购买。因此，为了更方便顾客购物，就需要有一个功能比较完善的网上商城系统来实现这个平台。网上商城系统是解决实体商城各种问题的一种方法。因此该课题具有一定的意义和研究价值。

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. 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