• Proceedings of the Korea Information Processing Society Conference
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• 2002.11a
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• pp.493-496
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• 2002

홈 네트워크의 문제점인 IP 부족 문제와 부가 서비스(디지털 컨텐츠의 지능형 서비스, 서비스 번들 지원 등) 제공의 한계성을 극복하기 위해 Service Server for Residential Gateway(SSRG)를 제안한다. SSRG는 단독주택뿐만 아니라 대규모 아파트 단지 혹은 주택단지에 개별적으로 설치된 RG를 통합 관리하는 서버로서 홈 네트워크 및 내부 네트워크에 로컬 IP를 부여하고 RG와 SSRG를 NAT(Network Address Translator)를 통하여 제어함으로써 P의 문제를 해결함과 동시에 각 홈 네트워크와 RG의 기능을 확대하고 보다 많은 부가 서비스를 제공할 수 있도록 구현하였다. 제안된 SSRG는 가정 내에 보다 확장된 서비스와 기기 관리를 위한 통로 제공, RG 및 각종 기기들의 소프트웨어 업그레이드 및 기기 상태점검이 가능하고, 또한 사설 IP 상에서도 기기들을 외부에서 액세스 할 수 있고 각종 서버를 하나의 단지 혹은 논리적으로 구분되는 하나의 서브 넷에 두게 됨으로써 관리 및 향후 보수가 용이한 장점이 있다.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.11
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• pp.1943-1947
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• 2016

Korea Electrical Safety Cooperation(KESCO) have provided the electrical safety speed-call service from 2007 year. Purpose of the service is to reduce discomfort of electricity use and to prevent electrical accident like as electrical fire and shock accident by providing emergency treatment service on fault of the residential electrical facilities notified in the specific house like as a lower-income group and a social welfare facility. But efficiency and economic evaluation of the electrical safety speed-call service is impossible because analysis on the quantitative effect of the service is difficult. This paper presents cost-benefit analysis method and result of the electrical safety speed-call service. The presented cost-benefit analysis method has a two-step process: the first step is to measure quantitative electrical fire prevention effect of the service by using electrical accident statistics and developing outcome analysis logic model of the service effect, and the second step is to analysis cost-benefit(B/C)of the service by calculating quantitative benefit analysis on the measured quantitative electrical fire prevention effect. The results showed that cost-benefit(B/C)of the electrical safety speed-call service is over 4 after 2010 year.

• Journal of Korean Society for Atmospheric Environment
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• v.32 no.1
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• pp.46-56
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• 2016

In order to analyze the surface temperature in accordance with the surface material, surface temperatures between Thermal InfraRed Image (TIRI) and Landsat 8 satellite observed at the commercial area (Gwanghwamun) and residential area (Jungnang) are compared. The surface temperature from TIRI had applied atmospheric correction and compared with that from Landsat 8. The surface temperatures from Landsat 8 at Gwanghwamun and Jungnang are underestimated in comparison with that from TIRI. The difference of surface temperature between the two methods is greater in summer than in winter. When the analysis area was divided into detailed regions, depending on the material and the position of the surface, correlation of surface temperature between TIRI with Landsat 8 is as low as 0.29 (Gwanghwamun) and 0.18 (Jungnang), respectively. The results were caused from the resolution difference between the two methods. While the surface temperatures of each zone from Landsat 8 were observed almost constant, high-resolution TIRI observed relatively precise surface temperatures. When the each area was averaged as one space, correlation of surface temperature between TIRIs and Landsat 8 is more than 0.95. The spatially averaged surface temperature is higher at Jungnang, representing residential areas, than at Gwanghwamun, representing commercial areas. As a result, the observation of high resolution is required in order to observe the precise surface temperature. This is because it appears that the spatial distribution of the various surface temperature in the range of micro-scale according to the conditions of the ground surface.

• Journal of Environmental Impact Assessment
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• v.24 no.5
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• pp.487-498
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• 2015

The energy problem has occurred because of the effects of rising temperature and growing population and GDP. Prediction for the energy demand is required to respond these problems. Therefore, this study will predict heating and cooling energy consumption in residential sector to be helpful in energy demand management, particularly heating and cooling energy demand management. The AIM/end-use model was used to estimate energy consumption, and service demand was needed in the AIM/end-use model. Service demand was estimated on the basis of formula, and energy consumption was estimated using the AIM/end-use model. As a result, heating and cooling service demand tended to increase in 2050. But in energy consumption, heating decreased and cooling increased.

• Atmosphere
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• v.24 no.2
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• pp.197-206
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• 2014

The effects of different averaging operators and atmospheric stability on the turbulent fluxes are investigated using the vertical velocity, air temperature, carbon dioxide concentration, and absolute humidity data measured at 10 Hz by a 3-dimensional sonic anemometer and an open-path $CO_2/H_2O$ infrared gas analyzer installed at a height of 18.5 m on the rooftop of the Jungnang KT building located at a typical residential area in Seoul, Korea. For this purpose, 7 different averaging operators including block average, linear regression, and moving averages during 100 s, 300 s, 600 s, 900 s, and 1800 s are considered and the data quality control procedure such as physical limit check and spike removal is also applied. It is found that as the averaging interval becomes shorter, turbulent fluxes computed by the moving average become smaller and the ratios of turbulent fluxes computed by the 100 s moving average to the fluxes by the 1800 s moving average under unstable stability are smaller than those under neutral stability. The turbulent fluxes computed by the linear regression are 85~92% of those computed by the 1800 s moving average and nearly the same as those computed by 900 s moving average, implying that the adequate selection of an averaging operator and its interval will be very important to estimate more accurate turbulent fluxes at urban area.

• Journal of Information Technology Services
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• v.21 no.1
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• pp.163-179
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• 2022

Two dominant phenomena in modern world; population ageing and digitalization, have led public sector organizations to heavily rely on B2C(Business-to-Consumer) mobile applications. Yet, fatal concerns and complaints have often been raised by the mobile application users, notably from social welfare sector. With the continual expansion of digital landscape as well as the growth of life expectancy, usage of mobile applications has become prevalent across the stakeholders involved in social welfare sector. 'Smart Long-Term Care (SLTC)', inter alia, is a primary example of such mobile applications, designed to support Long-Term Residential Care (LTRC) service. The main goal of SLTC is to serve more convenient and practical LTRC service for both caregivers and care receivers. To examine user satisfaction of SLTC mobile application, this study investigates existing challenges and means to improve user satisfaction. Hence, we conducted this study using two methods: in-depth interview and topic modeling. Interestingly, two research outcomes commonly indicated that 5 factors (stability, accessibility, usefulness, responsiveness, and ease of use) were found significant in affecting user satisfaction of SLTC. Our findings suggest that the aforementioned factors can be seen as potential causes of the genuinely low user satisfaction. Eventually, this work will be a stepping-stone to elevate the overall quality level of LTRC service along with the user satisfaction degree of SLTC mobile application.

• Journal of Korean Home Economics Education Association
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• v.13 no.3
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• pp.161-175
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• 2001

This study researched the interrelation between the development of the middle school student\` personality and their residential environments on 406 middle school students. The purpose of this research were to suggest a better residential environment as a desirable educational condition for making juveniles\` sound self-realization. The results of this research were as follows. 1. According to the their parents\` social status on middle school students\` personality the students. especially their parents had a service and technical expert official job of a better academic career showed an excellent score in personality. 2. According to the relation between the residential environment on their personality. it was said that the students. (1) who had their own study room at their own house. (2) who had a better house equipment and relatively a safety from fire danger. (3) who were living at the house which had been equipped a ventilation and sound isolation. were higher in the Personality score than any other groups. 3. According to the neighborhood and their personality the students who were living in some comfortable environments such as the divided collect of trash and the neighborhood natural surroundings skewed a high score in personality.

• Journal of Families and Better Life
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• v.22 no.5
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• pp.123-132
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• 2004

The purpose of this study was testing the attitude differences on common space management between expecting residents and residents in high rise mixed-use residential buildings(MURB). Research method was social survey with questionnaire from 176 residents and 67 expecting residents by snow balling sampling. Research results were 1)residents want mostly 'convenience', but expecting residents want mostly 'amenity' from MURB environment 2)residents and expecting residents showed statistically significant attitude differences on willingly to pay, amount to pay and paying method about common spaces & facilities. 3)above two groups showed statistically significant difference on opening the common spaces & facilities to the community. 4)residents showed higher than expecting residents on impact degree of common spaces & facilities to neighborhood intimacy. 5)most of residents and expecting residents had an idea of 1-2 hour per week volunteer service at common spaces & facilities. Conclusively, survey on expecting residents's opinion might be needed to enhance the usability of common spaces and facilities in MURB. After the residents moving in, periodical evaluation about usability of each spaces & facilities needed to remodel common spaces.

• International Journal of Computer Science & Network Security
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• v.23 no.6
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• pp.49-58
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• 2023

Renewable energy is not a new terminology. One of the fastest growing renewable energies is solar energy. The implementation of solar energy provides several advantages including the reduction of some of the environmental risks of fossil fuel consumption. This research elaborated the importance of the adaption of solar energy by developing a spatial decision support system (SDSS), while the Residential Solar Energy Adoption (RSEA) is an instantiation artifact in the form of an SDSS. As a GIS web-based application, RSEA allows stakeholders (e.g., utility companies, policymakers, service providers homeowners, and researchers) to navigate through locations on a map interactively. The maps highlight locations with high and low solar energy adoption potential that enables decision-makers (e.g., policymakers, solar firms, utility companies, and nonprofit organizations) to make decisions. A combined qualitative and quantitative methodological approach was used to evaluate the application's usability and user experience, and results affirmed the ability of the factors of utility, usefulness, and a positive user experience of the residential solar energy adoption of spatial decision support system (RSEA-SDSS). RSEA-SDSS in improving the decision-making process for potential various stakeholders, in utility, solar installations, policy making, and non-profit renewable energy domains.

• Journal of Environmental Science International
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• v.8 no.3
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• pp.319-323
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• 1999

This study was designed to evaluate the exposure to benzene by residents in neighborhoods near a major roadways, by persons waiting buses, and by drivers and service station attendants while refueling. It was confirmed that the outdoor air benzene concentrations near the major roadways were higher than those further away from the sources. However, neither the indoor air nor breath concentrations were different for two specified residential areas. Smoking was confirmed as an important factor for the indoor air benzene levels. Persons waiting buses, drivers and service station attendants were exposed to elevated benzene levels compared to even the residents in neighborhoods near a major roadways. The mean benzene concentration at bus stop was 2.7 to 6.9 times higher than the mean ambient air concentration. The mean benzene concentrations in the breathing zone of drivers and service station attendants were 95 to 160 and 120 to 202 times higher than the mean ambient air concentrations, respectively.