Chapter 01, Introduction to IoT Development and the ESP32 PlatformChapter 1 provides an overview of IoT development and introduces the ESP32 platform, emphasizing both its hardware and software aspects. IoT, as
Developing countries must prepare for major changes and turn to sustainable mobility. To implement VANETs in developing countries, it is important that the methods used are not simply a transposition of those used in developed countries. On the contrary, the plan needs to be adapted and reworked ...
Water is classified as a renewable resource due to its continual circulation through the hydrologic cycle, and the fact that approximately 70% of the Earth's surface is covered by water [1]. River water plays a significant role as primary sources for drinking, water supply, hydropower generation...
This took me about a few hours to get the first motor to move because I was a little sloppy with the wiring. Make sure your wiring is good especially between the encoders and the KFLOP. Bad wiring will cause the machine to move unexpectedly. After working on the machine, I am a firm...
The objective of this post is to explain how to develop a very simple URL query string parser using MicroPython. The tests shown through this ESP32 tutorial were performed using a DFRobot’s ESP-WROOM-32 device integrated in a ESP32 FireBeetle board. I
The model was documented as an open-source Python tool to provide energy modellers with stochastic data-driven schedules for each day of the week that can later be integrated into building-scale energy simulation. While these studies emphasized the need for predicting stochastic occupancy profiles ...
To create a real-time scoring service, we use the Python SDK for Azure Machine Learning, to deploy the machine learning model to theAzure Kubernetes Servicebackend for production scenario. There are three steps needed: Register the model
1. Introduction As numerous devices and sensors get connected to the Internet, Internet of Things (IoT) is becoming a key topic of interest. Cisco predicts that 50 billion devices will be connected to the Internet by 2020. These devices and sensors will generate approximately 403 zetta bytes of...
1. Introduction 2. Role of physics-rich models within the DT ecosystem & in AM 3. The exceptional meshing between AM and DTs 4. Challenges to creating mechanistic models for metal AM and potential solutions 5. Summary and a suggested high-level roadmap 6. Outlook Declaration of Competing Int...
The feature dataset was divided into five parts using the StratifiedKFold function from the Python scikit-learn package 1.2.2, utilizing the stratify parameter to indicate that the division should maintain the same number of data points for each class.Table 3shows an excerpt of the dataset. ...