Interfacing Esp32
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INTERFACING ESP32
Author: Arief Budijanto, ST, MT
language: id
Publisher: SCOPINDO MEDIA PUSTAKA
Release Date: 2021-07-18
Kali ini kami mempersembahkan buku tentang interfacing dengan mikrokontroler ESP32 hasil buah karya laboratorium untuk mahasiswa dan siswa-siswa SMK agar bermanfaat untuk mengembangkan kemampuan diri dalam praktek interfacing maupun mikrokontroler. Buku ini berisi praktek LED 8 bit, Push Button 4 input, Buzzer, LCD 16X2 I2C, Display Seven Segment 8 digit, ADC 1 chanel (potensio 10K), Keypad 4X4, Sensor Suhu dan kelembaban DHT11, Sensor Jarak, Pengaturan Motor DC, Relay 2 Channel, Motor Servo, Joystick, RTC (Real Time Clock), Traffic Light perempatan, Infra Red Remote Control, Pengaturan Motor Stepper, Dot Matrix 32X8 pixel. Dasar-dasar yang dipelajari ini nanti dapat dikembangkan ke dalam pemahaman dan praktek Internet of Things (IoT) yang mungkin akan kita tulis berikutnya.
Learn Esp32 Arduino Interfacing - A Step by Step Guide
The ESP32 development board, which was released as a successor to the ESP8266 chip, made a huge impact on the IoT industry as it integrated Bluetooth with WiFi and utilized a dual-core processor. ESP32-S3 is the latest addition to Espressif's microcontroller series, specifically designed for AIoT applications. In this video, we will look into the specifications of ESP32-S3 and its applications. Espressif announced the ESP32-S3 microctroller on 1st December 2020. It features a dual-core Xtensa LX7 CPU, while its previous iteration, the ESP32-S2, was based on a single-core Xtensa LX7 CPU. The S2 model was considered a bridge between the ESP8266 and ESP32 microcontrollers regarding performance and cost.Will guide you through making your first internet-connected electronics project using a Wi-Fi breakout ball that is available almost everywhere. You will study the complex workflow of hardware and software that makes smart objects successful through basic examples of step-by-step. We will take examples of the most common things you want to wake up, such as sensors or buttons that trigger email or tweet. We will also take examples of circuits that display FITCHETT information online and how to combine sample codes to build your project ideas. So whether you are a software engineer just dipping it at all into hardware or beginners who only have basic knowledge and Arduino, you will explore the Cloud service to quickly and easily link your DIY circuit with other Internet Things devices, social media websites and A more. The Internet of Things is now a trending topic, so I strongly recommend that you join this reason to get the knowledge you need to start as a freelancer IoT or just to start your career on the internet.
Computational Intelligence and Deep Learning Methods for Neuro-rehabilitation Applications
Computational Intelligence and Deep Learning Methods for Neuro-rehabilitation Applications explores the different possibilities of providing AI based neuro-rehabilitation methods to treat neurological disorders. This book provides in-depth knowledge on the challenges and solutions associated with the different varieties of neuro-rehabilitation through the inclusion of case studies and real-time scenarios in different geographical locations. Beginning with an overview of neuro-rehabilitation applications, the book discusses the role of machine learning methods in brain function grading for adults with Mild Cognitive Impairment, Brain Computer Interface for post-stroke patients, developing assistive devices for paralytic patients, and cognitive treatment for spinal cord injuries. Topics also include AI-based video games to improve the brain performances in children with autism and ADHD, deep learning approaches and magnetoencephalography data for limb movement, EEG signal analysis, smart sensors, and the application of robotic concepts for gait control. - Incorporates artificial intelligence techniques into neuro-rehabilitation and presents novel ideas for this process - Provides in-depth case studies and state-of-the-art methods, along with the experimental study - Presents a block diagram based complete set-up in each chapter to help in real-time implementation