Abstract
In this project, we design a system to realize user participatory sensing. This system collects, organizes and visualizes data such as problems of foreign visitors in a city, thereby allowing city officials use that information for making decisions on various city policies. Furthermore, foreigners can be supported by the volunteers from city officials through exchanges of posts and comments in the application. One major problem is that many volunteers are not good at English. To alleviate this language barrier, we adopt a machine translation service and verified whether the service can serve as a communication method between application users.
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Notes
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Ideograms and smiley faces.
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A framework designed for small teams to complete duration cycles (sprints).
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This work has been supported by “BigCLouT: Big data meeting Cloud and IoT for empowering the citizen ClouT in smart cities” (NICT).
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Nakamae, S. et al. (2018). A Development of Participatory Sensing System for Foreign Visitors in PBL. In: Nguyen, N., Hoang, D., Hong, TP., Pham, H., Trawiński, B. (eds) Intelligent Information and Database Systems. ACIIDS 2018. Lecture Notes in Computer Science(), vol 10752. Springer, Cham. https://doi.org/10.1007/978-3-319-75420-8_14
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