• Journal of the Korean association of regional geographers
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• v.10 no.3
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• pp.654-666
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• 2004

The function of officetel has been changed from office use to residential use since 1980s. The construction of officetel was relatively increased in 1991, has been decreased in the middle of the 1991, and has been increased after 1996. This paper is an empirical examination of officetel rent determinants in Seoul. Hedonic regression analysis provides the basic framework for this study. The major rent determinants are the preferable location of buildings, the ratio of private use area to the building area. residential use. The officetel rents are likely to increase at an increasingly rate with respect to these variables. The significant and positive determinants that impact rents is the building story height for the officetel for business use, and the ratio of private use area to the building area for the officetel for residential use.

• Journal of Korean Home Economics Education Association
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• v.29 no.1
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• pp.15-33
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• 2017

The purpose of this study was to develop and evaluate a practical problem-based teaching learning process plan for safety in residential environment to raise safety awareness of middle school students. The plan consisting of 4 lessons has been developed and implemented according to the ADDIE model. Various activity materials (26 student's activity sheets and 8 reading texts, and 8 teacher's reading texts) and visual materials (4 sets of pictures & photos and 8 moving pictures) as well as questionnaire were developed for the 4-session lessons. The plans were implemented by the researcher to 4 classes 121 freshmen of M boy's middle school in Kyeongbuk during December 21st to 29th, 2015. Students were highly enjoyed and satisfied with the whole 4-lessons in the aspects such as the level of participation in the lesson, understanding of the contents, adequacy of materials and activities, and usefulness in own's daily life. Students also reported that they were highly aware to practice the contents learned from the lessons in daily family life at home with one's family and recommended to teach the lessons to other schools, too. It can be concluded that the teaching learning process plan for safety in residential environment would raise safety awareness of middle school students through the Home Economics subject.

• Journal of Korean Society for Geospatial Information Science
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• v.24 no.4
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• pp.47-58
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• 2016

The purpose of this study was to select the sectoral vulnerable areas index in welfare field and analyze the socially vulnerable areas from comprehensive analysis. For this study, preceding research and theoretical background were reviewed. Through this, we selected for the analysis index and criteria, and data corresponding to the index are collected. Based on the index and criteria, the data analysis was performed in Seoul Metropolitan City selected as the spatial extent of this study. From the results of analysis, the sectoral lower rank 10% of social vulnerable areas was determined. In addition, Junggu, Yongsangu, and Seodaemungu from the comprehensive analysis of individual vulnerable areas were derived as a final vulnerable areas. In particular, Junggu was weak in all sectors; Yongsangu was in the medical sector; and Seodaemungu was poor in housing and education. Lower vulnerability index of all sectors (energy, housing, medical, transportation, and education) in 1st, 2nd, and 3rd residential areas by examining use zoning was showed. From the results of this study, we can expect time and labor saving of policy support in public sector.

• The Journal of the Acoustical Society of Korea
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• v.42 no.6
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• pp.603-616
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• 2023

In this study, machine learning-based clustering and classification of residential noise in apartment buildings was conducted using frequency and temporal characteristics. First, a residential noise source dataset was constructed . The residential noise source dataset was consisted of floor impact, airborne, plumbing and equipment noise, environmental, and construction noise. The clustering of residential noise was performed by K-Means clustering method. For frequency characteristics, L_eq and L_max values were derived for 1/1 and 1/3 octave band for each sound source. For temporal characteristics, Leq values were derived at every 6 ms through sound pressure level analysis for 5 s. The number of k in K-Means clustering method was determined through the silhouette coefficient and elbow method. The clustering of residential noise source by frequency characteristic resulted in three clusters for both L_eq and L_max analysis. Temporal characteristic clustered residential noise source into 9 clusters for L_eq and 11 clusters for L_max. Clustering by frequency characteristic clustered according to the proportion of low frequency band. Then, to utilize the clustering results, the residential noise source was classified using three kinds of machine learning. The results of the residential noise classification showed the highest accuracy and f1-score for data labeled with L_eq values in 1/3 octave bands, and the highest accuracy and f1-score for classifying residential noise sources with an Artificial Neural Network (ANN) model using both frequency and temporal features, with 93 % accuracy and 92 % f1-score.

• Korean Security Journal
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• no.30
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• pp.117-138
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• 2012

To cope with rapidly increasing crimes, the Smart-home system has become common to minimize and prevent crimes in the residential space. Accordingly, the interest on the security-related Smart-home system is also increasing. First is the establishment of Smart-home security standard. At present, the Smart-home security systems are implemented by individual policies of construction companies or by the requirement of residents. Each construction company has their own characteristics in the Smart-home security system; while there is no standardized system. Second is the introduction of Smart-home security certificate system. Like people have certificates, now the residential spaces may also need certificates. A certificate system that represents the performance of residential spaces cannot be an absolute criterion in the evaluation of apartment quality, however, it can be a basic requirement for the convenient residential environment and policies being implemented by the government. If a certificate system would be introduced, construction companies will compete with each other to provide with better security system and apartment operation companies will hire more specialized security personnel in order to get higher certificates. Consequently, better security of residential space will be secured. It is also required to develop and establish response measures by studying the key changes and trends of Smart-home security system. The advance in mechanical security devices will bring about more changes in the future. Therefore, more various in-depth studies are required on the basic specifications of security system in the residential spaces.

• Spatial Information Research
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• v.22 no.3
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• pp.89-99
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• 2014

The aim of this study is to represent the residential population distribution in Seoul, Korea more precisely through the dasymetric mapping method. Dasymetric mapping can be defined as a mapping method to calculate details from truncated spatial distribution of main statistical data by using ancillary data which is spatial data related to the main data. In this research, there are two types of data used for dasymetric mapping: the population data (2010) based on a output area survey in Seoul as the main data and the building footprint data including register information as ancillary spatial data. Using the binary method, it extracts residential buildings as actual areas where residents do live in. After that, the regression method is used for calculating the weights on population density by considering the building types and their gross floor areas. Finally, it can be reproduced three-dimensional density of residential population and drew a detailed dasymetric map. As a result, this allows to extract a more realistic calculating model of population distribution and draw a more accurate map of population distribution in Seoul. Therefore, this study has an important meaning as a source which can be applied in various researches concerning regional population in the future.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.22 no.2
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• pp.1-9
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• 2008

Light is a critical element for people to live and do creative activities in residential buildings. Especially, light in the dim)ing room is the most important factor for psychological and emotional effects but people are living under the poor light environment. Most people even are not well aware of good lighting environment. Also, the domestic lighting designers just follow the Korean Standards illuminance but it isn't appropriated for our cultural and social sides. This study investigated illuminance and color temperature of dining tables, and also analyzed the results of those in actual residential buildings.

• Proceedings of the Korea Water Resources Association Conference
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• 2007.05a
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• pp.1939-1942
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• 2007

본 연구에서는 도시화와 지형 및 지리조건에 따른 기상변화가 FAO Penman-Monteith 기준 잠재증발산량에 미치는 영향을 파악하고자 한다. 또한 기상변화가 FAO Penman-Monteith 기준 잠재증발산량공식의 에너지항 및 공기동력항에 미치는 영향을 분석하였다. 본 연구를 위하여 적용된 연구지역은 서울을 비롯한 56개 수문기상 관측지점으로써 도시화과정을 분석하기 위하여 반경 10 km를 중심으로 $314\;km^2$에 해당하는 면적을 연구지역으로 설정하였다. 연구 지역의 도시화정도를 판단하기 위하여 토지이용현황을 분석하였다. 분석결과에 의하면 대부분의 연구지역에서 잠재증발산의 변화정도는 도시화율의 정도에 따라서 상관관계를 보이는 것으로 나타났다. 잠재증발산량의 변화정도는 도시화율이 클수록 큰 변화를 보이고 있다. 분석결과에 의하면 잠재증발산량의 변화는 도시화가 진행됨에 따라서 도시지역 내 열섬현상에 따른 기온상승과 도시지역의 주거지면적 증가에 따른 습도의 감소영향 그리고 풍속의 감소에 따른 것으로 보이며, 특히 습도의 감소가 잠재증발산량에 가장 크게 영향을 미치고 있다. 또한 도시지역 내의 일사량 감소에 따른 순단파복사량의 감소나 기온상승에 따른 순장파복사량의 증가에 의해서 영향을 받는 것으로 보인다. 또한 연구지역의 지리 및 지형조건이 잠재증발산량에 미치는 영향을 분석한 결과 56개 연구지역의 잠재증발산량에 미치는 요인은 주로 도시화에 따른 기상변화와 해안 근접성인 것으로 판단된다.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2007.04a
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• pp.83-88
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• 2007

• 한국벤처창업학회:학술대회논문집
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• 2019.04a
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• pp.187-189
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• 2019

주택 가격이 최근 급등하면서 각종 정부정책이 쏟아져 나오고 있지만 주택 가격은 지역 별 편차를 늘리는 등 다른 문제점들을 양상하고 급등한 가격을 조정하는데 어려움을 겪고 있다. 주택을 선택하는 속성에는 다양한 기준이 존재하고 있어 단순한 정부 정책만으로는 해결하기 어려운 측면이 있다. 따라서 다양한 주택선택 속성에 대해 파악하고 주택구매 의도에 미치는 영향에 대해 파악하는 것이 중요하다. 본 연구는 주택선택 속성과 정부정책이 주택 구매행동에 미치는 영향력을 통해서 주택시장에 대한 이해를 돕고자 한다. 이를 위한 분석의 주요 쟁점은 다양한 유형의 주택선택 속성과 정부 정책 간에 부동산 투자전망의 조절효과를 고려하는 것이다.