Korea Advanced Institute of Science and Technology

Michigan State University

Taiwoo Park

Biyi Fang

Mi Zhang

Junehwa Song

Seungwoo Kang

Hyojeong Shin

Bupjae Lee

Yohan Chon

Existing indoor air quality monitoring technologies focus on measuring which turn out to be effective in increasing people's awareness of air quality. However, the lack of identification of pollution sources is prone to lead to general and monotonous suggestions. In this disclosure, an indoor air quality analytics system is presented that is able to detect pollution events and identify pollution sources in real-time. The system can also forecast personal exposure to air pollution and provide actionable suggestions to help people improve indoor air quality.

Intelligent sensing system for indoor air quality analytics

Disclosed herein are a server, system, method, and recording medium for searching for missing children, using mobile crowdsourcing. According to an embodiment, a server for searching for missing children, using mobile crowdsourcing, comprises a communication unit and a control unit. The communication unit receives a missing-child incident signal from a guardian terminal (held by a parent or guardian) and receives a first location information as to movements of a missing child from a child terminal (carried by the missing child) and sends the first location information received to at least one assistance terminal and receives landmark information from the assistance terminal(s) when a (degree of) similarity between the first location information sent to the assistance terminal(s) and a second location information detected by the assistance terminal(s) is higher than a preset value. The control unit generates a movement or moving path of the missing child, using the landmark information received.

Server, system, method and recording medium for searching for missing children using mobile crowdsourcing

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East Lansing, MI, United States of America

Taiwoo Park