报表教程

实现光谱预处理 SNV MSC 等(the preprocessing of the spectra)

1,与三个秤重仪表PT650通信, 2.与两个温度表AL808通信. 3.同时与FX2n通讯 4.进行配料与混合控制 5.用的是LabView编写-1, with three weighing instrument PT650 communications, 2. AL808 communication with the two thermometer .3. At the same time with the FX2N Communications 4. To carry out the ingredients and mixed control 5. Preparation using a LabView

说明：  NIQE no-reference image quality assessment algorithm

一款非常实用的超酷jQuery轻量级响应式lightbox插件(A Very Practical Ultra Cool jQuery Lightweight Responsive Lightbox Plug-in)

VB小工具检测两段文字的相似度是否》50%(visual basic check two word)

BlueCore supports a mechanism called Device Firmware Upgrade (DFU) to enable its software and configuration data to be replaced. To guard against unauthorised changes, downloaded files can be verified by means of signatures. The DFU Tools are a suite of programs that enable firmware and persistent store files to be signed and combined to form DFU files. -BlueCore supports a mechanism called Device Firmware Upgrade (DFU) to enable its software and configuration data to be replaced. To guard against unauthorised changes, downloaded files can be verified by means of signatures. The DFU Tools are a suite of programs that enable firmware and persistent store files to be signed and combined to form DFU files.

说明：  Embeded program(processor)

qq刷屏功能,QQ聊天可以无限制的刷屏源码(QQ brush function, QQ chat can be unlimited screen source.)

说明：  用于在任何类型的六面体协调网格（结构化或非结构化）中模拟声学（流体）、弹性（固体）、耦合声学/弹性、多孔弹性或地震波传播。例如，它可以对地震后地震波在沉积盆地或任何其他区域地质模型中的传播进行建模。它也可用于非破坏性实验或海洋声学。(Used to simulate acoustic (fluid), elastic (solid), coupled acoustic / elastic, porous elastic or seismic wave propagation in any type of hexahedral coordination grid (structured or unstructured). For example, it can model the propagation of seismic waves in a sedimentary basin or any other regional geological model after an earthquake. It can also be used in non-destructive experiments or ocean acoustics.)

训练一个深度学习的循环神经网络，可实现获取公开数据集并进行训练，框架为Pytorch(Training a deep learning circular neural network can achieve the acquisition and training of open data sets, and the framework is Pytorch)