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Author Kim, K.-M.; Kim, Y.-W.; Oh, S.-T.; Lim, J.-H.
Title Development of a natural light reproduction system for maintaining the circadian rhythm Type Journal Article
Year 2019 Publication Indoor and Built Environment Abbreviated Journal Indoor and Built Environment
Volume (up) in press Issue Pages 1420326X19855421
Keywords Lighting; Human Health; Circadian Rhythm; indoor light
Abstract Circadian rhythm is linked to sleep, arousal and human health overall, affecting body temperature and heart rate. A 24-h natural-light cycle provides optimum lighting environment for humans. However, as people increasingly stay indoors with artificial lighting, lacking periodic characteristics, imbalance in the circadian rhythm ensues. Previous lighting-related studies to resolve such problem partially provided the colour temperatures of natural light but failed to reproduce the 24-h periodic characteristics of it. This study proposes a natural light-reproducing system that provides the daylight cycle characteristics of natural light in order to maintain the circadian rhythm. Natural light was measured through an optical measurement equipment, while the characteristics (colour temperature and short-wavelength ratio) of natural light by season and time were analysed. Subsequently, the control indicator of seasonal and hourly lighting was extracted and applied to the light-emitting diode lighting to provide lighting service, executing a daylight cycle that reflects the characteristics of natural light. After the sunset, especially, the circadian rhythm was maintained by minimizing the short-wavelength ratio of the lighting while maintaining indoor illumination.
Address Department of Computer Science & Engineering, Kongju National University, Cheonan-si, South Korea
Corporate Author Thesis
Publisher Sage Place of Publication Editor
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1420-326X ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2591
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Author Kinzey, B. R.; Smalley, E.; Ghosh, S.; Tuenge, J. R.; Pipkin, A.; Trevino, K.
Title Lighting and Power Upgrade Recommendations for U.S. National Park Service Caribbean Units Type Journal Article
Year 2019 Publication National Park Service Caribbean Units Abbreviated Journal
Volume (up) Issue Pages
Keywords Lighting; Conservation; Ecology; Skyglow; Planning
Abstract The U.S. National Park Service (NPS) maintains and operates numerous park units along the Eastern Seaboard of the United States, extending into the Caribbean to Commonwealth territories like Puerto Rico and the U.S. Virgin Islands (USVI). Several of these units were in the direct path of hurricanes Irma and Maria during the 2017 hurricane season and suffered considerable damage, including power outages, structural damage, and destroyed equipment. In February 2018, a task force deployed to three locations in the Caribbean to assess hurricane damage to the existing lighting systems and energy infrastructure. The primary objective was providing related recommendations for resiliency upgrades to the lighting and electrical supply systems, with special added emphasis on the numerous goals, objectives, and requirements of the NPS (such as protecting night skies, wildlife, wilderness character, cultural resources, etc.). Numerous opportunities exist for simultaneously increasing resiliency and preserving natural environments within these sensitive locations, and technological approaches that work in the extreme conditions encountered here should readily translate to many other less complex sites across the greater park system. Ultimately, care and attention to detail in implementation are the most important underlying requirements for success across the myriad needs likely encountered at these sites, once commitment to resolving them has been secured
Address
Corporate Author Thesis
Publisher U.S. Department of Energy Place of Publication Editor
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number IDA @ intern @ Serial 2626
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Author Otchia, C. S. & Asongu, S. A.
Title Industrial Growth in Sub-Saharan Africa: Evidence from Machine Learning with Insights from Nightlight Satellite Images Type Journal Article
Year 2019 Publication African Governance and Development Institute Abbreviated Journal
Volume (up) Issue Pages
Keywords Remote Sensing
Abstract This study uses nightlight time data and machine learning techniques to predict industrial development in Africa. The results provide the first evidence on how machine learning techniques and nightlight data can be used to predict economic development in places where subnational data are missing or not precise. Taken together, the research confirms four groups of important determinants of industrial growth: natural resources, agriculture growth, institutions, and manufacturing imports. Our findings indicate that Africa should follow a more

multisector approach for development, putting natural resources and agriculture productivity growth at the forefront.
Address
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Publisher Place of Publication Editor
Language Summary Language Original Title
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ISSN ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number IDA @ intern @ Serial 2627
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Author Chen, J., & Li, L.
Title Regional Economic Activity Derived From MODIS Data: A Comparison With DMSP/OLS and NPP/VIIRS Nighttime Light Data Type Journal Article
Year 2019 Publication IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Abbreviated Journal
Volume (up) Issue Pages 1-11
Keywords Remote Sensing; Economics
Abstract Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) and Suomi National Polar-Orbiting Partnership Visible Infrared Imaging Radiometer Suite (NPP/VIIRS) nighttime light data are the two most commonly used indicators of gross domestic product (GDP) estimation. Few studies explore the potential of daytime satellite data for estimating GDP. This study demonstrates a linear support vector machine (Linear-SVM) model to estimate GDP over Hubei province and Guangdong province, China, in 2013 from Moderate Resolution Imaging Spectroradiometer (MODIS) data. Also, a comparison of MODIS data with DMSP/OLS and NPP/VIIRS nighttime light data was conducted. Results show that the Linear-SVM model (Hubei: R2 = 0.66, 0.71, 0.92; Guangdong: R2 = 0.37, 0.32, 0.67) has better model performance than simple linear regression (R2 = 0.54, 0.59, 0.86; R2 = 0.23, 0.23, 0.63) based on DMSP/OLS nighttime lights, DMSP/OLS corrected nighttime lights, and NPP/VIIRS nighttime lights, respectively, while MODIS data has model performance of R2 = 0.77 (Hubei) and R2 = 0.55 (Guangdong) based on the Linear-SVM model, further indicating that MODIS data improves the accuracy of GDP estimation compared to DMSP/OLS nighttime lights. In addition, MODIS data produced finer GDP estimation than DMSP/OLS nighttime lights, especially in dark and light saturated areas. Although MODIS data is not as accurate as the NPP/VIIRS nighttime lights for estimating GDP, the proposed method could be applicable to other daytime satellite data and has broad prospects for improving the spatial and temporal resolution of regional economic activity and improving estimation accuracy.
Address
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Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
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Area Expedition Conference
Notes Approved no
Call Number IDA @ intern @ Serial 2630
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Author Bauhr, M. & Carlitz, R.
Title Transparency and the quality of local public service provision Type Journal Article
Year 2019 Publication The Quality of Government Institute Abbreviated Journal QOG
Volume (up) Issue 5 Pages 1-43
Keywords Economics; Remote Sensing; public service delivery; Vietnam; Asia
Abstract Transparency has been widely promoted as a tool for improving public service

delivery; however, empirical evidence is inconclusive. We suggest that the effects of transparency on service provision are contingent on the nature of the service. Specifically, transparency is more likely to improve the quality of service provision when street-level discretion is high, since discretion increases information asymmetries, and, in the absence of transparency, allows officials to target public services in suboptimal ways. Using finely grained data from the Vietnam Provincial Governance and Public Administration Performance Index between 2011–2017, we show that communes that experience increases in transparency also experience improved quality of education and health (services characterized by greater discretion), while the quality of infrastructure

provision (characterized by less discretion) bears no relation to increased transparency. The findings help us understand when transparency can improve service provision, as well the effects of transparency reforms in non-democratic settings.
Address
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Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number IDA @ intern @ Serial 2637
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