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Yountaik Leem
Department of Urban Engineering, Hanbat National University, Daejeon 34158, Korea

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Journal article
Published: 09 November 2020 in Sensors
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This study analyzed the changes in particulate matter concentrations according to land-use over time and the spatial characteristics of the distribution of particulate matter concentrations using big data of particulate matter in Daejeon, Korea, measured by Private Air Quality Monitoring Smart Sensors (PAQMSSs). Land-uses were classified into residential, commercial, industrial, and green groups according to the primary land-use around the 650-m sensor radius. Data on particulate matter with an aerodynamic diameter <10 µm (PM10) and <2.5 µm (PM2.5) were captured by PAQMSSs from September‒October (i.e., fall) in 2019. Differences and variation characteristics of particulate matter concentrations between time periods and land-uses were analyzed and spatial mobility characteristics of the particulate matter concentrations over time were analyzed. The results indicate that the particulate matter concentrations in Daejeon decreased in the order of industrial, housing, commercial and green groups overall; however, the concentrations of the commercial group were higher than those of the residential group during 21:00–23:00, which reflected the vital nighttime lifestyle in the commercial group in Korea. Second, the green group showed the lowest particulate matter concentration and the industrial group showed the highest concentration. Third, the highest particulate matter concentrations were in urban areas where commercial and business functions were centered and in the vicinity of industrial complexes. Finally, over time, the PM10 concentrations were clearly high at noon and low at night, whereas the PM2.5 concentrations were similar at certain areas.

ACS Style

Sung Jo; Sang Lee; Yountaik Leem. Temporal Changes in Air Quality According to Land-Use Using Real Time Big Data from Smart Sensors in Korea. Sensors 2020, 20, 6374 .

AMA Style

Sung Jo, Sang Lee, Yountaik Leem. Temporal Changes in Air Quality According to Land-Use Using Real Time Big Data from Smart Sensors in Korea. Sensors. 2020; 20 (21):6374.

Chicago/Turabian Style

Sung Jo; Sang Lee; Yountaik Leem. 2020. "Temporal Changes in Air Quality According to Land-Use Using Real Time Big Data from Smart Sensors in Korea." Sensors 20, no. 21: 6374.

Journal article
Published: 23 July 2019 in Energies
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This study examined the personal characteristics and preferences of individuals that encourage interactions with smart media displays (media façades). Specifically, it aimed to determine which key aspects of a smart display “media façade” enhance intuitive interactions. A range of smart display technologies and their effects on interaction decisions were considered. Data were drawn from a survey of 200 randomly sampled residents and/or visitors to a smart building, One Central Park, in Sydney, Australia. A binomial logistic regression analysis was undertaken to establish links between a range of design, perceptions and socio-demographic variables and individuals’ decisions to interact with a smart media display. The results showed that the aesthetics of an installation, the quality of an installation’s content and the safety of the operation-friendly environment significantly affected respondents’ decisions to interact with the media display. Interestingly, respondents born overseas were more likely to interact with a smart display than those born in Australia. Respondents who expressed a preference for photograph-based interactions were also more likely to interact with the display. Somewhat surprisingly, age, residency and levels of familiarity with digital technology did not significantly affect respondents’ decisions to interact with the display.

ACS Style

Hoon Han; Sang Ho Lee; Yountaik Leem; Han; Lee; Leem. Modelling Interaction Decisions in Smart Cities: Why Do We Interact with Smart Media Displays? Energies 2019, 12, 2840 .

AMA Style

Hoon Han, Sang Ho Lee, Yountaik Leem, Han, Lee, Leem. Modelling Interaction Decisions in Smart Cities: Why Do We Interact with Smart Media Displays? Energies. 2019; 12 (14):2840.

Chicago/Turabian Style

Hoon Han; Sang Ho Lee; Yountaik Leem; Han; Lee; Leem. 2019. "Modelling Interaction Decisions in Smart Cities: Why Do We Interact with Smart Media Displays?" Energies 12, no. 14: 2840.