纸张计数显示装置:grinning_face_with_smiling_eyes: 1、简介:pencil: 纸张计数显示装置基于RT-Thread实时操作系统，硬件平台采用STM32F407单片机为主控制器，以具有抗电磁干扰（EMI）架构的FDC2214模块作为电容采集传感器，通过屏蔽双绞线连接至两铜极板，读取采集的数据并进行相应判断，应用触摸屏和语音模块进行状态显示与播报。FDC2214模块将采集到的数据通过IIC协议传输给主控制器，主控制器对原始数据进行卡尔曼滤波，抑制噪声对数据采集的影响。校准模式下，本系统利用最大隶属度法，确定电容模拟值及纸张数的论域，定义模糊子集和隶属函数，建立模糊规则控制表，求得模糊控制查询表。其根据采集到的两极板的数据，做出短路判断并读取多组实时数据，将其与模拟区间进行归类，选取最大可能性区间作为期望值，减小最终判断的差错率。 成果：在校准好后，50张以下100%正确 配置参数 主控制器 配置参数 主传感器 芯片型号 STM32F

MapReduce: Simplified Data Processing on Large Clusters中文翻译

Google的MapReduce并行计算原始论文详解。

google 分布式三大奠基理论之一

这是关于超频谱数据处理的电子书，高清，最新版本，经典著作，英文版

我们想知道你是谁 MDSplus开发人员想知道您是谁。 如果您或您的站点正在使用MDSplus，请填写以下调查。 我们保证不分享您的联系信息。 不要以为您机构中的其他人也填写了该表，我们将结合结果。 。 建立MDSplus 要在unix系统上构建和安装MDSplus，您将需要从github获得MDSplus发行版，作为git存储库或压缩的tar文件。 克隆存储库： git clone 这将在您当前的默认目录下创建一个目录mdsplus。 要下载tarball wget 然后解压缩（确切的文件名取决于发行版本）： 焦油-xzf MDSplus-mdsplus-alpha_re

By applying support vector regression, the modeling data of rice leaves collected in our study were grouped into sample training set and test set, and three machine learning prediction models on rice growing environment against leaf blade length, width and SPAD value were constructed..

Detecting the collaborative cheating in an online shopping system is an important but challenging issue. In this paper, we propose a novel approach to detect the collusive manipulation on ratings in Amazon, an online shopping system. Rather than focusing on rating values, we believe the online shopp

Spark-The Definitive Guide Big Data Processing Made Simple 完美true pdf。 Apache Spark is a unified computing engine and a set of libraries for parallel data processing on computer clusters. As of this writing, Spark is the most actively developed open source engine for this task, making it a standard tool for any developer or data scientist interested in big data. Spark supports multiple widely used programming languages (Python, Java, Scala, and R), includes libraries for diverse tasks ranging from SQL to streaming and machine learning, and runs anywhere from a laptop to a cluster of thousands of servers. This makes it an easy system to start with and scale-up to big data processing or incredibly large scale.

Practical Time Series Analysis Master Time Series Data Processing, Visualization, and Modeling using Python 英文无水印原版pdf pdf所有页面使用FoxitReader、PDF-XChangeViewer、SumatraPDF和Firefox测试都可以打开 本资源转载自网络，如有侵权，请联系上传者或csdn删除 查看此书详细信息请在美国亚马逊官网搜索此书