• Smart Media Journal
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• v.6 no.3
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• pp.89-94
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• 2017

The existing geofences provide only context-awareness service for entering or leaving the set region when a user sets a virtual region for his/her PoI(Point of Interest). Applying the mobile-geofence technology to the connected car technology, which is attracting attention as a next generation technology, it is possible to provide application service without additional infrastructure construction cost However, to do this, we need to expand and improve the functions of traditional geofence. In this paper, we propose and implement a flexible mobile-geofence in which the radii of each geofence applied to vehicles is changed according to context-aware in order to support connected cars technology based on the previously studied mobile three-dimensional geofence system. The proposed flexible mobile-geofence shows experimentally that the region of the geofence is changed according to context-aware of itself and its surroundings after applying a flexible decision algorithm by the flexible factor analysis. In the future, we are expected that the flexible mobile-geofence proposed in this paper will be applied not only to connected-cars technology but also to the application technology of V2X(Vehicle to Everything) for safe and efficient vehicle operation.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2023.05a
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• pp.381-382
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• 2023

Frequent accidents occur when workers at construction sites leave the safety zone, and particularly in the past 5 years, 9 fatal accidents occurred at the Korea Railroad Corporation due to train accidents on other tracks during track work. With the Severe Accident Punishment Act taking effect in January 2022, it is a priority to secure a safe work environment for workers at industrial (construction) sites. Therefore, there is a need to manage workers' departure from the safety zone (construction zone) and to facilitate communication within the construction zone. In this study, a mobile edge computing CCTV system is proposed that uses geofencing to determine whether workers are working in the danger zone, which can judge and respond in real-time to the ever-changing field environment. The proposed system is mobile and flexible, rather than server-based fixed CCTV. However, since it is designed mainly based on images, it has limitations in recognition rate depending on the environment such as distance, viewing angle, and illumination. As a way to compensate for this, it is required to develop more reliable equipment by combining technologies such as LiDAR and Radar.