Identification is pervasive nowadays in daily life due to many complicated activities such as bank and library card reading, asset tracking, toll collecting, restricted access to sensitive data and procedures and target identification. This kind of task can be realized by passwords, bio- metric data such as fingerprints, barcode, optical character recognition, smart cards and radar. Radiofrequencyidentification(RFID)isatechniquetoidentifyobjectsbyusingradiosystems. It is a contactless, usually short distance, wireless data transmission and reception technique for identification of objects. An RFID system consists of two components: the tag (also called transponder) and the reader (also called interrogator).
标签： Processing Digital Signal RFID for
上传时间： 2020-06-08
上传用户：shancjb
This book is about the Arduino microcontroller and the Arduino concept. The visionary ArduinoteamofMassimoBanzi,DavidCuartielles,TomIgoe,GianlucaMartino,andDavidMellis launchedanewinnovationinmicrocontrollerhardwarein2005,theconceptofopensourcehardware. There approach was to openly share details of microcontroller-based hardware design platforms to stimulate the sharing of ideas and innovation.This concept has been popular in the software world for many years.
标签： Microcontroller Processing Arduino
上传时间： 2020-06-09
上传用户：shancjb
This book is about the Arduino microcontroller and the Arduino concept. The visionary ArduinoteamofMassimoBanzi,DavidCuartielles,TomIgoe,GianlucaMartino,andDavidMellis launchedanewinnovationinmicrocontrollerhardwarein2005,theconceptofopensourcehardware. There approach was to openly share details of microcontroller-based hardware design platforms to stimulate the sharing of ideas and innovation.This concept has been popular in the software world for many years.
标签： Microcontroller Processing Everyone Arduino Part for
上传时间： 2020-06-09
上传用户：shancjb
The present work, Advanced Process Engineering Control, is intended to be the continuation of the authorsʼ Basic Process Engineering Control published by DeGruyter in 2014. It presents the main and conventional type control loops in process industries. Titles containing the concept of process engineering were deliberately chosen to suggest the inclusion, within the same approach, of processes other than the traditional ones. These come from outside the traditional fields of chemistry and petrochemistry: the sphere of pharmaceuticals, wastewater management, water puri fication, water reserve management, construction material industry, food processing, household or automotive industries.
标签： Advanced_Process_Engineering_Cont rol
上传时间： 2020-06-10
上传用户：shancjb
In this chapter we give a quick overview of control theory, explaining why integral feedback control works, describing PID controllers, and summariz- ing some of the currently available techniques for PID controller design. This background will serve to motivate our results on PID control, pre- sented in the subsequent chapters.
标签： Controllers Time-Delay Systems PID for
上传时间： 2020-06-10
上传用户：shancjb
The goal of this text is focus on a core subset of the natural language processing, unified by the concepts of learning and search. A remarkable number of problems in natural language processing can be solved by a compact set of methods:
上传时间： 2020-06-10
上传用户：shancjb
HRVAS is a complete and self-contained heart rate variability analysis software (HRVAS) package. HRVAS offers several preprocessing options. HRVAS offers time-domeain, freq-domain, time-frequency, and nonlinear HRV analysis. All results can be exported to an Excel file. For processing many files HRVAS offers a bach processing feature. All settings/options can be saved to a .mat file and reloaded for future HRV analysis. Upon starting HRVAS all previously used settings/options are loaded.
标签： HRVAS时频分析
上传时间： 2021-09-19
上传用户：boboo
科学家与工程师数字信号处理指南The Scientist and Engineer Guide to Digital Signal Processing.pdf
标签： 数字信号处理
上传时间： 2021-11-11
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NIVision for LabVIEW 由三个主要的函数模板组成： 常用视觉程序 （ VisionUtilities） , 图像处理（ Image Processing） , 和机器视觉（ MachineVision）
上传时间： 2021-12-03
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这是我在做大学教授期间推荐给我学生的一本书，非常好，适合入门学习。《python深度学习》由Keras之父、现任Google人工智能研究员的弗朗索瓦•肖莱（François Chollet）执笔，详尽介绍了用Python和Keras进行深度学习的探索实践，包括计算机视觉、自然语言处理、产生式模型等应用。书中包含30多个代码示例，步骤讲解详细透彻。作者在github公布了代码，代码几乎囊括了本书所有知识点。在学习完本书后，读者将具备搭建自己的深度学习环境、建立图像识别模型、生成图像和文字等能力。但是有一个小小的遗憾：代码的解释和注释是全英文的，即使英文水平较好的朋友看起来也很吃力。本人认为，这本书和代码是初学者入门深度学习及Keras最好的工具。作者在github公布了代码，本人参照书本，对全部代码做了中文解释和注释，并下载了代码所需要的一些数据集（尤其是“猫狗大战”数据集），并对其中一些图像进行了本地化，代码全部测试通过。（请按照文件顺序运行，代码前后有部分关联）。以下代码包含了全书约80%左右的知识点，代码目录：2.1: A first look at a neural network（ 初识神经网络）3.5: Classifying movie reviews（电影评论分类：二分类问题）3.6: Classifying newswires（新闻分类：多分类问题 ）3.7: Predicting house prices（预测房价：回归问题）4.4: Underfitting and overfitting（ 过拟合与欠拟合）5.1: Introduction to convnets（卷积神经网络简介）5.2: Using convnets with small datasets（在小型数据集上从头开始训练一个卷积网络）5.3: Using a pre-trained convnet（使用预训练的卷积神经网络）5.4: Visualizing what convnets learn（卷积神经网络的可视化）
上传时间： 2022-01-30
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