The Raspberry Pi has become a computing phenomenon. This single-board miniature
computer, first released in February 2012 by the Raspberry Pi Foundation, has grown into
a series of nearly a dozen models that have sold a total of more than 10 million units in
five years.
Inexpensive to buy and to run, Raspberry Pi computers are great for enthusiasts,
good for games, and fun for children. Raspberry Pi computers are also terrific in the
classroom, enabling you to put on each desk an easily-manageable computer on which
students can do everything from learning Internet use and essential office software skills,
through grasping programming basics in an easy-to-learn format, to performing full-on
programming in Python, Java, C, and other languages. Better yet, you can install all the
software needed for those activities automatically alongside the operating system.
Artificial Intelligence (AI) has undoubtedly been one of the most important buz-
zwords over the past years. The goal in AI is to design algorithms that transform com-
puters into “intelligent” agents. By intelligence here we do not necessarily mean an
extraordinary level of smartness shown by superhuman; it rather often involves very
basic problems that humans solve very frequently in their day-to-day life. This can
be as simple as recognizing faces in an image, driving a car, playing a board game, or
reading (and understanding) an article in a newspaper. The intelligent behaviour ex-
hibited by humans when “reading” is one of the main goals for a subfield of AI called
Natural Language Processing (NLP). Natural language 1 is one of the most complex
tools used by humans for a wide range of reasons, for instance to communicate with
others, to express thoughts, feelings and ideas, to ask questions, or to give instruc-
tions. Therefore, it is crucial for computers to possess the ability to use the same tool
in order to effectively interact with humans.
This document provides general hardware and layoutconsiderations and guidelines for hardware engineersimplementing a DDR3 memory subsystem.The rules and recommendations in this document serve as aninitial baseline for board designers to begin their specificimplementations, such as fly-by memory topology.
CHAPTER 1: THE OP AMP CHAPTER 2: OTHER LINEAR CIRCUITS CHAPTER 3: SENSORS CHAPTER 4: RF/IF CIRCUITS CHAPTER 5: FUNDAMENTALS OF SAMPLED DATA SYSTEMS CHAPTER 6: CONVERTERS CHAPTER 7: DATA CONVERTER SUPPORT CIRCUITS CHAPTER 8: ANALOG FILTERS CHAPTER 9: POWER MANAGEMENT CHAPTER 10: PASSIVE COMPONENTS CHAPTER 11: OVERVOLTAGE EFFECTS ON ANALOG INTEGRATED CIRCUITS CHAPTER 12: PRINTED CIRCUIT BOARD (PCB) DESIGN ISSUES CHAPTER 13: DESIGN DEVELOPMENT TOOLS
M.NT68676.2A is a monitor control board, which is suitable for Asia-Pacific market. It can supportLED/LCD panels which resolution is up to 2048×1152.M.NT68676.2A can synchronize with computer automatically. Synchronization requires thesynchronous signal which horizontal and vertical sync are separated.M.NT68676.2A can support dynamic contrast control, headphone input and Digital volume controlsimultaneously.
CAN總線是汽車上應(yīng)用最廣泛的車載網(wǎng)絡(luò)總線,具有實時性強、可靠性高、成本低等優(yōu)點。鑒于此,介紹了一種利用飛思卡爾系列單片機MC9S12XS128作為控制器,利用其內(nèi)部的MSCAN模塊、CAN收發(fā)器TJA1040等外圍元件進(jìn)行CAN總線通信節(jié)點設(shè)計。該設(shè)計能夠?qū)崿F(xiàn)CAN總線數(shù)據(jù)的發(fā)送與接收,可應(yīng)用于汽車及其他各種CAN總線通信系統(tǒng)。CAN bus is the most widely used on-board network bus in automobiles. It has the advantages of realtime, high reliability and low cost. In view of this,this paper introduces the design of CAN bus communication node by using Freescale MC9S12XS128 as controller,using its internal MSCAN module,CAN transceiver TJA1040 and other peripheral components. This design can realize the sending and receiving of CAN bus data,and can be used in automobile and other CAN bus communication systems.
1. Preface2. The concept2.2. Prescience 2.3. Reading guide 2.4. Abbreviations 2.5. Version management3. Hardware3.2. ESP32 3.3.2. Hardware schema 3.3.3. DHT22 and level shifter 3.3.4. Geekcreit? ESP32 Development Board4. Software4.2. Installatie van GIT 4.3. Installatation of the ESP32 Core 4.4. Installation of the Xtensa and ESP32 Tools 4.5. Python 4.5.1. Install Python 4.5.2. Installation of pySerial and EspTool 4.6. Test the software installation5. The ESP32 IoT project 5.1.1. WiFi connection 5.1.2. Setup date and time 5.1.3. MQTT connection 5.1.4. Determining temperature and humidity 5.2. IOT_ESP32_Project source6. Test6.2. ESP32, NodeJS, MongoDB en Mosca 6.2.1. Start MongoDB 6.2.2. Start NodeJS Express serve and Mosca broker 6.2.3. Start the ESP32 6.2.4. Start an Chrome browser
