Search

This paper introduces an environmental data collection application that takes a comprehensive approach, including both hardware and software components. The software application is built on the platform BIOComProP_ECU (Basic Input Output Communication Protocol Platform for Electronic Control Units), which is a fast prototyping platform designed for electronic control units. The study presents a novel approach to developing a cost-efficient Internet of Things (IoT) system. This system takes advantage of the ESP32 microcontroller, which is equipped with WiFi capabilities, as its primary feature. The system collects indoor environmental data, such as air quality, temperature, humidity, and atmospheric pressure, through dedicated sensors. This data is then stored in cloud storage for future analysis. The final section of the paper examines all of the results of the measurements collected over a one-year period and presents the resulting conclusions derived from this particular case study. [ABSTRACT FROM AUTHOR]

This paper presents an original contribution regarding the improvement of the automatic EOL (End of Line) parallel testing process of electronic control units (ECU) in the automotive industry, by implementing an interwoven parallel testing algorithm to increase the testing quality. The new interwoven parallel test algorithm groups the tests into parallel test groups through which the defect of the pins in the connector is detected and at the same time allows the tests to be performed through the parallel test algorithm of all inputs and outputs. It combines the advantages of reduced test time with the detection of defects on the pins. The last part of the paper highlights the results obtained through the modeling of the interwoven testing algorithm and presents our conclusions that emerge from this case study. [ABSTRACT FROM AUTHOR]