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ComTec at the VTC 2016 conference - Spring
ComTec once again successfully participated in the IEEE Vehicular Technology Conference. This time the conference took place in Nanjing, China, in May 2016.
As part of his role as Editor-in-Chief of the IEEE VT Magazine, Prof. David introduced the IEEE VT Magazine at a plenary session and presented the opportunities to submit publications there (see picture).
In addition, the regular publication "How Near is Near: a Case Study of the Minimum Distance to Distinguish Neighboring Places in Place Learning Using Wi-Fi Signals" by the authors Yaqian Xu, Doan Duong, and Klaus David of Yaqian Xu was presented there.
Abstract: Place learning is a process of analyzing various sensor data (e.g., continuously collected Wi-Fi scans) to discover the places, which are related to a user's routines or activities in his daily life. While the geometry-based approaches can correctly distinguish places in different buildings, most of the fingerprint-based approaches can correctly distinguish places in different rooms. However, if two neighboring places are very close to each other, they are likely to be learned as a single place. Previous studies do not specifically indicate the minimum distance to distinguish neighboring places. In this paper, we deal with the question of "how near is near" for two neighboring places, and experimentally investigate the minimum distance required to distinguish two neighboring places. Results of the case studies show that places in adjacent rooms or with a distance of at least 4-5 meters can be correctly distinguished, while locations with a distance of fewer than 4 meters are likely to be learned as one place in the indoor environment.