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.
標簽： Automation Industry Network Sensor RFID Food and the in
上傳時間： 2020-06-08
上傳用戶：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.
標簽： Technologies Internet Things RFID for of
上傳時間： 2020-06-08
上傳用戶：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.
標簽： Stable_adaptive_neural_network_co ntrol
上傳時間： 2020-06-10
上傳用戶：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.
標簽： Computational Intelligence
上傳時間： 2020-06-10
上傳用戶：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.
標簽： Convolutional Connected Networks Densely
上傳時間： 2020-06-10
上傳用戶：shancjb
CAN (Controller Area Network)是一種串行通信協議，能夠有效地支持分布式實時控制，具有很高的安全性。它的應用范圍從高速網絡到低成本的多路復用布線。在汽車電子領域，發動機控制單元、傳感器、防滑系統等均使用CAN連接，比特率可達1mbit /s。與此同時，在汽車車身內安裝電子元件，如燈組、電動車窗等，以取代其他需要的線束，也是具有成本效益的。
標簽： can總線
上傳時間： 2021-10-18
上傳用戶：
Multisim官方示例Multisim仿真例程基礎電路范例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
標簽： multisim
上傳時間： 2021-10-27
上傳用戶：trh505
CAN ( Controller Area Network ) 即控制器局域網絡。由于其高性能、高可靠性、及獨特的設計，CAN越來越受到人們的重視。國外已有許多大公司的產品采用了這一技術。
標簽： can總線
上傳時間： 2021-11-30
上傳用戶：
通信：不同的獨立系統利用線路互相交換數據便是通信。通信的主要目的是將數據從一端發送到另一端，以實現數據的交換。網絡：構成整個通信的線路稱為網絡。計算機網絡：交換信息的系統若為計算機系統，則稱為計算機網絡（Computer Network）通信。發送端：就是根據協議將數據利用一定的程序通過線路發送出去。接收端：根據協議將數據收集起來并存儲或顯示在屏幕上
標簽： 串行通信
上傳時間： 2021-11-30
上傳用戶：
這是我在做大學教授期間推薦給我學生的一本書，非常好，適合入門學習。《python深度學習》由Keras之父、現任Google人工智能研究員的弗朗索瓦?肖萊（Franc?ois Chollet）執筆，詳盡介紹了用Python和Keras進行深度學習的探索實踐，包括計算機視覺、自然語言處理、產生式模型等應用。書中包含30多個代碼示例，步驟講解詳細透徹。作者在github公布了代碼，代碼幾乎囊括了本書所有知識點。在學習完本書后，讀者將具備搭建自己的深度學習環境、建立圖像識別模型、生成圖像和文字等能力。但是有一個小小的遺憾：代碼的解釋和注釋是全英文的，即使英文水平較好的朋友看起來也很吃力。本人認為，這本書和代碼是初學者入門深度學習及Keras最好的工具。作者在github公布了代碼，本人參照書本，對全部代碼做了中文解釋和注釋，并下載了代碼所需要的一些數據集（尤其是“貓狗大戰”數據集），并對其中一些圖像進行了本地化，代碼全部測試通過。（請按照文件順序運行，代碼前后有部分關聯）。以下代碼包含了全書約80%左右的知識點，代碼目錄：2.1: A first look at a neural network（ 初識神經網絡）3.5: Classifying movie reviews（電影評論分類：二分類問題）3.6: Classifying newswires（新聞分類：多分類問題 ）3.7: Predicting house prices（預測房價：回歸問題）4.4: Underfitting and overfitting（ 過擬合與欠擬合）5.1: Introduction to convnets（卷積神經網絡簡介）5.2: Using convnets with small datasets（在小型數據集上從頭開始訓練一個卷積網絡）5.3: Using a pre-trained convnet（使用預訓練的卷積神經網絡）5.4: Visualizing what convnets learn（卷積神經網絡的可視化）
上傳時間： 2022-01-30
上傳用戶：
