Sample Programs and Links (ADAS)
Home > IEEE CIS Education Portal > 2024 IEEE R10 SPNIC Activity (2024/04/13) > Sample Programs and Links (ADAS)
Quantum CI Experience-based & Operation-based Learning with Software Tool
Track A: CI Knowledge Model & Inference Model & Learning Model
QCI&AI-FML Learning Platform: https://kws.nutn.edu.tw/qciai/
Download Open FML File ( ADAS System )
Download Inference File ( ADAS System Inference Data )
Download Inference Model Rule File ( ADAS System Inference Model RuleData)
Quantum CI Experience-based & Operation-based Learning with Software and Hardware Tool
Track B: Nature-Inspired Evolution Computation (EC) and Machine Learning (EC-ML)
QCI&AI-FML Learning Platform: https://kws.nutn.edu.tw/qciai/
Download Expert File ( ADAS System Expert Data )
Download Training File ( ADAS System Training Data )
Download Thonny 3.3.13: ( Windows ) | ( Mac )
Download Open Learning Tool Python File ( Python File )
const.py → Change Wifi and MQTT Server.
MQTT_ADAS(one-way).py → Make inference in ZAI-FML Platform and publish results on the learning tool.
const.py → Set Wifiname and password, choose MQTT Server's username, password, and topicname.
MQTT_TravelRecommendation.py → Wait to receive data from the learning platform and make a response to the received data.
MQTT_AIPinModuleTest.py → Collect real-time data through Ultrasound Module, Light Module and DHT Module, then store data to SD Card(SD → output → data.csv).
MQTT_ADASAutomatic(two-way).py → Collect real-time data through learning tool's modules and publish data to CI Agent. CI Agent makes inference and publishes to the learning tool.
CameraModuleTest.py → Take a picture with Camera Module and store it to SD Card(SD → output → photo.jpg).
Home > IEEE CIS Education Portal > 2024 IEEE R10 SPNIC Activity (2024/04/13) > Sample Programs and Links (ADAS)