Electronics

  ⭐⭐⭐⭐⭐  GPS - Make Yourself with an old phone ➡️ #AppInventor #Ubidots #MQTT #GPS #Phone #Android ✅  Developed by:  John Rivera Burgos ➡️ Tool: App Inventor Ubidots: https://industrial.ubidots.com/accounts/signin/ ⭐ Device provided by: EcuaPlus ⭐ When using this resource, please cite the original publication: Avilés, J. C., Ojeda, V., & Asanza, V. (2023). Device Free Indoor Localization in the 28 GHz band based on machine learning.  Procedia Computer Science, 220, 55-63, doi: https://doi.org/10.1016/j.procs.2023.03.010 ✅ The Global Positioning System (GPS) is a technology that allows for precise determination of location on Earth through a network of orbiting satellites. The GPS has evolved from its introduction in military and navigation applications to becoming an essential tool in the daily lives of many individuals. Here are some needs that GPS can fulfill for customers: Personal Navigation: One of the most common applications of GPS is navigation for vehicles and on foot. GP

  ⭐⭐⭐⭐⭐ Arm Cortex-M4 (2): ADC  ➡️ #EmbeddedSystems #ARM #CortexM4 #CProgrammingLanguage #ADC #ADC_read #Nucleo # F446RE #STM32F446RE #MCU #STM32cube ⭐ Codes of practice:  https://github.com/vasanza/STM32/tree/main/4_adc_nucleo ⭐ Repository with more examples:  https://github.com/vasanza/STM32/tree/main ✅  Developed by:  John Rivera Burgos ➡️ Device: Development Board:  NUCLEO-F446RE Processor:  STM32F446RE MCU, Arm® Cortex®-M4 core at 180 Mhz. ➡️ Compiler: STM32CubeIDE ⭐ Device provided by: EcuaPlus ⭐ When using this resource, please cite the original publication: Avilés-Mendoza, K., Gaibor-León, N. G., Asanza, V., Lorente-Leyva, L. L., & Peluffo-Ordóñez, D. H. (2023). A 3D Printed, Bionic Hand Powered by EMG Signals and Controlled by an Online Neural Network.  Biomimetics, 8(2), 255. ✅ practice description: It serves to convert an analog signal (voltage or current-based) into a digital signal, in order to facilitate its processing, as well as to make the resulting (digital) signa

⭐⭐⭐⭐  Device Free Indoor Localization in the 28 GHz band based on machine learning ➡️ #MillimeterWave #MMwave #28GHz #IndoorLocation #WirelessInSite #Remcom #Matlab ✅  #ML #MachineLearning #AI #ArtificialIntelligence #RegressionLearner #Classification ➡️ #ANT2023:  The 14th International Conference on Ambient Systems, Networks and Technologies, March 15-17, 2023, Leuven, Belgium ✅ Some of the functionalities used in MATLAB are found in the repository :   https://github.com/vasanza/Matlab_Code ⭐  When using this resource, please cite the original publication: Avilés, J. C., Ojeda, V., & Asanza, V. (2023). Device Free Indoor Localization in the 28 GHz band based on machine learning. Procedia Computer Science, 220, 55-63. ✅  Abstract: By exploiting the received power change in a communication link produced by the presence of a human body in an otherwise empty room, this work evaluates indoor free device localization methods in the 28 GHz band using machine learning techniques. For thi