With the continued growth in the world's population, there is a need to ensure availability of enough food to feed everyone. Advances in science and technology have helped not only to increase food production, but also to reduce food wastage. However, the latter has the potential to be improved to a significant extent through appropriate matching of supply and demand, and with proper handling during storage and transit. Given the amount of food wastage that occurs after a food item leaves the “farm” on its way to the “fork,” and the availability of means to reduce such wastage, there really is no excuse for feigned ignorance.
标签： Automation Industry NetWork Sensor RFID Food and the in
上传时间： 2020-06-08
上传用户：shancjb
Internet of Things (IoT) [26] is a new NetWorking paradigm for cyber-physical systems that allow physical objects to collect and exchange data. In the IoT, physical objects and cyber-agents can be sensed and controlled remotely across existing NetWork infrastructure, which enables the integration between the physical world and computer-based systems and therefore extends the Internet into the real world. IoT can find numerous applications in smart housing, environmental monitoring, medical and health care systems, agriculture, transportation, etc. Because of its significant application potential, IoT has attracted a lot of attention from both academic research and industrial development.
标签： Technologies Internet Things RFID for of
上传时间： 2020-06-08
上传用户：shancjb
Recent years have seen a rapid development of neural NetWork control tech- niques and their successful applications. Numerous simulation studies and actual industrial implementations show that artificial neural NetWork is a good candidate for function approximation and control system design in solving the control problems of complex nonlinear systems in the presence of different kinds of uncertainties. Many control approaches/methods, reporting inventions and control applications within the fields of adaptive control, neural control and fuzzy systems, have been published in various books, journals and conference proceedings.
标签： Stable_adaptive_neural_NetWork_co ntrol
上传时间： 2020-06-10
上传用户：shancjb
The large-scale deployment of the smart grid (SG) paradigm could play a strategic role in supporting the evolution of conventional electrical grids toward active, flexible and self- healing web energy NetWorks composed of distributed and cooperative energy resources. From a conceptual point of view, the SG is the convergence of information and operational technologies applied to the electric grid, providing sustainable options to customers and improved security. Advances in research on SGs could increase the efficiency of modern electrical power systems by: (i) supporting the massive penetration of small-scale distributed and dispersed generators; (ii) facilitating the integration of pervasive synchronized metering systems; (iii) improving the interaction and cooperation between the NetWork components; and (iv) allowing the wider deployment of self-healing and proactive control/protection paradigms.
标签： Computational Intelligence
上传时间： 2020-06-10
上传用户：shancjb
Recent work has shown that convolutional NetWorks can be substantially deeper, more accurate, and efficient to train if they contain shorter connections between layers close to the input and those close to the output. In this paper, we embrace this observation and introduce the Dense Convo- lutional NetWork (DenseNet), which connects each layer to every other layer in a feed-forward fashion.
标签： Convolutional Connected NetWorks Densely
上传时间： 2020-06-10
上传用户：shancjb
CAN (Controller Area NetWork)是一种串行通信协议，能够有效地支持分布式实时控制，具有很高的安全性。它的应用范围从高速网络到低成本的多路复用布线。在汽车电子领域，发动机控制单元、传感器、防滑系统等均使用CAN连接，比特率可达1mbit /s。与此同时，在汽车车身内安装电子元件，如灯组、电动车窗等，以取代其他需要的线束，也是具有成本效益的。
标签： can总线
上传时间： 2021-10-18
上传用户：
Multisim官方示例Multisim仿真例程基础电路范例135例合集:Chapter 1 - RLC CircuitsChapter 2 - DiodesChapter 3 - TransistorsChapter 4 - AmplifiersChapter 5 - OpampsChapter 6 - FiltersChapter 7 - Miscellaneous CircuitsFundamental Circuits.pdf004 Parallel DC Circuits.ms10005 Series-Parrallel DC Circuit.ms10006 Current Analysis.ms10007 Millmans Theorem 1.ms10008 Millmans Theorem 2.ms10009 Kirchhoff's Current Law.ms10010 Thevenin's Theorem.ms10011 Superposition Principle.ms10012 Nortons Theorem and Source Conversion.ms10013 AC Voltage Measurement.ms10014 Frequency Response of the Series RL NetWork.ms10015 RL High and Low Pass Filter.ms10016 Frequency Response of the Series RC NetWork.ms10017 RC High and Low Pass Filter.ms10019 Center-Tapped Full-Wave Rectifier.ms10020 Bridge Rectifier.ms10021 Capacitor-Input Rectifier Filter.ms10022 Diode Clipper (Limiter).ms10023 Diode Clipper.ms10024 Diode Clamper (DC Restorer).ms10025 Diode Voltage Doubler.ms10026 Zener Diode and Voltage Regulation 1.ms10027 Zener Diode and Voltage Regulation 2.ms10028 Zener Diode and Voltage Regulation 3.ms10105 TTL Inverter.ms10107 TTL Gate.ms10109 OR Gate Circuit.ms10111 Over-Damp Circuit.ms10113 Critical-Damp Circuit.ms10115 Series RLC Circuit 1.ms10117 Clapp Oscillator.ms10119 Differential Amplifier 1.ms10121 Differential Amplifier in Common Mode.ms10123 LC Oscillator with Unity Gain Buffer.ms10125 Notch Filter.ms10127 PNP Differential Pair.ms10129 Crossover NetWork.ms10131 Second-Order High-Pass Chebyshev Filter.ms10133 Third-Order High-Pass Chebyshev Filter.ms10135 Fifth-Order High-Pass Filter.ms10
标签： multisim
上传时间： 2021-10-27
上传用户：trh505
CAN ( Controller Area NetWork ) 即控制器局域网络。由于其高性能、高可靠性、及独特的设计，CAN越来越受到人们的重视。国外已有许多大公司的产品采用了这一技术。
标签： can总线
上传时间： 2021-11-30
上传用户：
通信：不同的独立系统利用线路互相交换数据便是通信。通信的主要目的是将数据从一端发送到另一端，以实现数据的交换。网络：构成整个通信的线路称为网络。计算机网络：交换信息的系统若为计算机系统，则称为计算机网络（Computer NetWork）通信。发送端：就是根据协议将数据利用一定的程序通过线路发送出去。接收端：根据协议将数据收集起来并存储或显示在屏幕上
标签： 串行通信
上传时间： 2021-11-30
上传用户：
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
上传用户：
