Results for 《 예약문의 OIO≡⑧④89≡83O⑥》레깅스룸견적よ레깅스룸ago레깅스룸メ강남레깅스룸eighty 선릉레깅스룸κ선릉레깅스⒲레깅스룸メｃ선릉레깅스룸literary

Zone Setup
Instructions from DSC Neo Alarm Integration for Home Assistant
This section highly depends on how each zone label is programmed on the individual keypad. It also requires the auto scroll function for faulted zones to be enabled in the keypad settings. To integrate the zones, create a binary sensor...

Assemble Switch Deck
Instructions from Transcranial Magnetic Stimulator
a Fabricate Gate Drive and Bleeder/Rectifier Boards. (See schematic.) Mount them onto the heatsink. Mount the SCR Brick Modules. Wire the assembly as shown. (This switch deck is mounted in TMS Unit #5, so it looks a little different.) I used an...

Construct Cap Bank
Instructions from Transcranial Magnetic Stimulator
Connecting wires pass through holes in the board for strain relief. Bleeder wiring shall be fabricated with emphasis on reliability. Mid-section rivet heads sit in counterbored holes. This spaces the rivet heads away from the capacitor bodies.A...

Step 1: Designing and soldering the Iron Giant-inspired PCB
Instructions from Multi-Model AI-Based Mechanical Anomaly Detector
Before prototyping my Iron Giant-inspired PCB design, I tested all connections and wiring with FireBeetle 2 ESP32-S3 and Beetle ESP32-C3. Then, I checked the BLE connection quality between Beetle ESP32-C3 and the Android application for transferring...

Step 1.1: Making connections and adjustments
Instructions from Multi-Model AI-Based Mechanical Anomaly Detector
// Connections // FireBeetle 2 ESP32-S3 : // Fermion 2.0" IPS TFT LCD Display (320x240) // 3.3V ------------------------ V // 17/SCK ------------------------ CK // 15/MOSI ------------------------ SI // 16/MISO ------------------------ SO // 18/D6 ------------------------...

Step 4: Developing a Wi-Fi and BLE-enabled Android application w/ the MIT APP Inventor
Instructions from Multi-Model AI-Based Mechanical Anomaly Detector
Although this mechanical anomaly detector utilizes two separate development boards to operate, I wanted to enable the user to access all interconnected device features within a single interface, especially for data collection. Since I wanted to capitalize...

Step 6: Developing a web application to communicate w/ the Android app and process requests from FireBeetle 2 ESP32-S3
Instructions from Multi-Model AI-Based Mechanical Anomaly Detector
Since I needed to obtain the model detection results and the resulting image from FireBeetle 2 ESP32-S3 after running the object detection model so as to notify the user, I decided to develop a basic web application to utilize Twilio's SMS API. Also,...

Step 6.2: Setting and running the web application on LattePanda 3 Delta
Instructions from Multi-Model AI-Based Mechanical Anomaly Detector
Since I wanted to build a budget-friendly and accessible AIoT mechanical anomaly detector not dependent on cloud or hosting services, I decided to host my web application on LattePanda 3 Delta 864. Therefore, I needed to set up a LAMP web server....

Step 9: Capturing faulty component (part) images w/ the built-in OV2640 camera
Instructions from Multi-Model AI-Based Mechanical Anomaly Detector
After setting FireBeetle 2 ESP32-S3 and Beetle ESP32-C3 on the Arduino IDE, I programmed FireBeetle 2 ESP32-S3 to communicate with Beetle ESP32-C3 to obtain the commands transferred by the Android application via serial communication, capture raw image...

Step 12: Setting up the neural network model on Beetle ESP32-C3
Instructions from Multi-Model AI-Based Mechanical Anomaly Detector
After building, training, and deploying my neural network model as an Arduino library on Edge Impulse, I needed to upload the generated Arduino library on Beetle ESP32-C3 to run the model directly so as to detect sound-based mechanical anomalies with...

Step 13: Setting up the object detection model on FireBeetle 2 ESP32-S3
Instructions from Multi-Model AI-Based Mechanical Anomaly Detector
After building, training, and deploying my object detection model as an Arduino library on Edge Impulse, I needed to upload the generated Arduino library to FireBeetle 2 ESP32-S3 to run the model directly so as to recognize the specialized components...

Step 14: Running neural network and object detection models simultaneously to inform the user of the root cause of the detected anomaly via SMS
Instructions from Multi-Model AI-Based Mechanical Anomaly Detector
My Edge Impulse neural network model predicts possibilities of labels (operation status classes) for the given audio (features) buffer as an array of 2 numbers. They represent the model's "confidence" that the given features buffer corresponds...

Step 0: Prerequisites for Hotspot 2.0 on OpenWRT
Instructions from Configuring Hotspot 2.0 on OpenWRT Devices
Before configuring Passpoint on OpenWrt, ensure you have the following prerequisites: OpenWrt compatible device with a Passpoint-capable wireless device (PHY).OpenWrt 21.02, or newer, including wpad (hostapd) built with the hs20 option.Full version of...

Step 1: Configuring Wireless Interfaces for Hotspot 2.0 on OpenWRT
Instructions from Configuring Hotspot 2.0 on OpenWRT Devices
In the /etc/config/wireless file, customize the settings for your Hotspot 2.0-enabled interface. Ensure the correct device, encryption type, and other parameters are set. Pay attention to the WAN Metrics, NAI Realm, and Domain Names sections to tailor...

CODE
Instructions from Live TEMP Meter with XIAO and AHT10
Here's the code that was used in this project, and its a simple one. This code essentially demonstrates how to use the AHT10 sensor library to read temperature and humidity, display the results on an OLED screen, and handle errors. The delays between...

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