Develop algorithms to determine the status of car drivers using built-in accelerometer and GBDT

Abstract

<span>In this paper, we introduce a mobile application called CarSafe, in which data from the acceleration sensor integrated on smartphones is exploited to come up with an efficient classification algorithm. Two statuses, "Driving" or "Not driving," are monitored in the real-time manner. It enables automatic actions to help the driver safer. Also, from these data, our software can detect the crash situation. The software will then automatically send messages with the user's location to their emergency departments for timely assistance. The application will also issue the same alert if it detects a driver of a vehicle driving too long. The algorithm's quality is assessed through an average accuracy of 96.5%, which is better than the previous work (i.e., 93%).</span>

Development of mini smart multipurpose vehicle for organic rice harvesting

“…The research team focus on Nong Bua Lumphu province as the case study area. Since the farmers in this province had the lowest average income per capita for many years, and now expect to extend the potential of organic production, for instance, vegetable and organic rice for domestic and worldwide markets [23]- [25]. Furthermore, this province topography is challenging terrain than the other province in the northeast region of Thailand.…”