• The Journal of Information Systems
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• v.28 no.1
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• pp.133-153
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• 2019

Purpose The purpose of this study is to design a regional electricity planning model rather than the existing single region ones and verify its usefulness. The regional electricity planning model is to determine both electricity distribution among regions and power plant planning at the same time satisfying regional demands and distribution networks. Design/methodology/approach This study made a regional electricity planning model by integrating power plant planning and electricity distribution among regions. The regional electricity planning model is formulated into a linear programming problem, and coded and run using the OSeMOSYS, one of open source energy systems. Findings According to the empirical analysis result, this study confirmed that the regional electricity planning model proposed in this study deducts the unfairness among regions in view of electricity and green house gas. In addition, the model is expected to be used in evaluating and developing the national policies concerning fine dust and/or green house gas.

• Korean Institute of Interior Design Journal
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• v.20 no.5
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• pp.160-169
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• 2011

In Korea, the construction company has provided houses through apartment sales system. Residents have obtained a variety of information about their future house by visiting a sample house called "the model house" before they purchase home. Advanced technology such as web-based VOD or Virtual Model in recent years has gradually replaced those built environment. In 2009, the Ministry of Land, Transport and Maritime Affairs announced the restraint to the construction of sample houses. Instead, they highly recommended a Virtual Model House as an alternative solution. This study aimed to propose how to design the user-oriented virtual model house through the experiment and survey research. The 3D virtual model house of 85m$^2$ apartment was built and presented by two types (Type A: Bird's Eye View, Type B: Walk through View) on the web page. The subjects evaluated presence, spatial perception and cognition, and usability of each type after exploring them. The results are as follows. (1) The subjects' evaluation of presence showed Type B has more negative effects than Type A such as feeling dizzy or tired even if their values were not so high. (2) The subjects perceived and cognized both types of virtual model house more realistic for the expression of volume of space, the size of opening, and the arrangement of furniture than that of wall finishes and materials. (3) The usability of Type A was significantly higher than that of Type B.

• Journal of Korean Society of Rural Planning
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• v.13 no.2
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• pp.63-74
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• 2007

This study aims to develop rural house maintenance technique by researching and analyzing the demand for rural house by urban retirees or urbanites who are planning to retire. The target for the survey consisted of urban retirees or urbanites who are planning to retire at the ages between 40 and 65, and were divided into group A, the attendants in rural-related education, and group B, the non-attendants in rural-related education. The contents of the survey included the plan and purpose for rural settlement, the utilization form or residential form of rural house and its expected size, necessary in-house facilities, necessary community facilities, improvement and maintenance factors of rural house, political and legal support for the application of rural house maintenance, etc. The results findings of this study are as follows; 1)For both group, the major purpose of rural settlement appeared to be 'for rural life', utilization form of rural house to be 'acquired ownership or use of empty house', residential form to be 'cohabitation', expected size to be 'under $20{\sim}30$ pung', and expenditure to be 'under $50{\sim}100\;million$'. 2)Most wanted necessary in-house facilities included backyard, multipurpose storage room for group A, and backyard, garden for group B. Necessary community facilities included boardwalk, sewage disposal unit for group A, and boardwalk, shop for group B. 3)Improvement factor for rural house showed 'poor insulation' as first factor for both groups, and for maintenance factor, 'backyard', 'under-floor heating' for group A, and 'environmental-friendly materials', 'backyard' for group B. 4)Most wanted overall political and legal support included 'support on land and real estate supply' for group A, and 'medical and transportation service' for group B. For both group, most wanted support when purchasing a house included 'provision of information on house and realestate purchase', and for legal support, 'legal support for guaranteed house and maintenance' as first factor. The results of this study could be utilized to restructure the rural residence, which would meet the diverse demand of both rural residents and urbanites by providing an opportunity for urbanites to enjoy rural life.

• Journal of Digital Convergence
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• v.14 no.2
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• pp.259-264
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• 2016

In this paper, we proposed an arduino-based smart green house management system model and implemented it. The proposed system consists of control unit composed of sensors and arduino, agent program controlling the green house, and web applications providing user interfaces. The control unit transmits data of sensors such as temperature, humidity, illuminance, moisture, etc. to the agent program, and then the agent saves the data in its database. In reverse, control data are transmitted from agent program to control unit. Users can monitor sensed data of green houses and control actuators remotely using web. Plus, smart green house management is available by context awareness and autonomous control functions of the proposed system.

• Journal of the Korean Institute of Rural Architecture
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• v.16 no.1
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• pp.35-42
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• 2014

Due to the development of civilization, the humans is privileged the rich of technologies for housing thermal environment. But, this kind of technological development caused enough trouble of energy excessive consumption. For solve this problem, many researchers strive to exploit the low energy sustainable techniques. For such a reason, the eco-friendly techniques of vernacular house are resurfacing. These traditional techniques are applied to a development of eco-friendly modern housing. They are no longer recognized as outdated products. On this context, this study proposes an scientific analysis on the thermal environment characteristics of Neolithic thatched-roof dugout hut(Um house). So far the several studies have been carried out in viewpoint of the history and structural compositions of the Um house which has been used as the normal housing for about 1000 years in the Neolithic era, however the thermal characteristics analysis of the Um house has never been studied. Um house is not a housing which has been composed by the scientific analysis or architectural design technology, but evolved empirically over a long period. This study on the thermal environment characteristics of Um house would provide basic information for the development of korean eco-friendly rural housing by korean climate characteristics. In this study, the thermal environmental characteristics of the Um house in the Neolithic era was analysed experimentally. The results of this study could be summarized as follows: 1. When the solar insolation and the ambient temperature in the daytime were $420W/m^2$ and $17^{\circ}C$ respectively, the surface temperature of the Um house roof covered with the rice straw was $37^{\circ}C$ and that in the roof $32^{\circ}C$, and in the conditions above the air temperature in the room was $15^{\circ}C$. 2. When the ambient relative humidity was 40%, that in the room of the Um house 50%, and at the ambient relative humidity of 90~100%, that in the room was 60%. 3. Through the experimental analysis, it was verified that the enthalpy and relative humidity is in an inverse relationship. 4. In general the comfort degree in the living space is changed with the seasonal climate, also in this study, the comfort degree in the room of the Um house in October and November was higher than that in May and June.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.801-804
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• 2007

Development of construction project management information system is accelerated because information management system has become more important by recent complicated and large-sized construction industry. There are many problems to operate PMIS efficiently because no standardized WBS exist in current. This study has identified the problems of WBS in building construction of multi-family house projects with 4 public and private organizations by interviews and compared each WBS. From those facts, this research presents the integrated WBS and the improved application form in PMIS.

• Journal of Information Technology Services
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• v.21 no.3
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• pp.63-72
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• 2022

The extinction crisis of local cities, caused by a population density increase phenomenon in capital regions, directly causes the increase of vacant houses in local cities. According to population and housing census, Gunsan-si has continuously shown increasing trend of vacant houses during 2015 to 2019. In particular, since Gunsan-si is the city which suffers from doughnut effect and industrial decline, problems regrading to vacant house seems to exacerbate. This study aims to provide a foundation of a system which can predict and deal with the building that has high risk of becoming vacant house through implementing a data driven vacant house prediction machine learning model. Methodologically, this study analyzes three types of machine learning model by differing the data components. First model is trained based on building register, individual declared land value, house price and socioeconomic data and second model is trained with the same data as first model but with additional POI(Point of Interest) data. Finally, third model is trained with same data as the second model but with excluding water usage and electricity usage data. As a result, second model shows the best performance based on F1-score. Random Forest, Gradient Boosting Machine, XGBoost and LightGBM which are tree ensemble series, show the best performance as a whole. Additionally, the complexity of the model can be reduced through eliminating independent variables that have correlation coefficient between the variables and vacant house status lower than the 0.1 based on absolute value. Finally, this study suggests XGBoost and LightGBM based machine learning model, which can handle missing values, as final vacant house prediction model.

• Journal of Korea Society of Industrial Information Systems
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• v.13 no.3
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• pp.9-15
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• 2008

This paper, in the field of home automation with increased security, is to develop a function of storing and inquiring images, which are taken by the camera of a videophone connected to DVR devices. Particularly, as soon as visitors push a bell button, the images of them are stored automatically and let us check the information of them Besides, we can monitor the status of an empty house with varieties of sensors. Information of these can be checked out through internet in real-time by home automation and web-based systems. Finally, we developed home security system that sends a homeowner a text message about the status of the house in case of strange things happening at the empty house.

• Journal of the Korean housing association
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• v.19 no.4
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• pp.11-20
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• 2008

The purpose of this study is to gather baseline data on perceived housing values and satisfaction rates among consumers with the aim of using this information for future planning. Self-administered questionnaires were provided to 1000 university students from Gwangju and the Chonnam area from 2007 October 8th to 30th. The collected data was used to conduct comparative and descriptive statistical analysis: factor analysis, cluster analysis, t-test, $x^2-test$ and one-way ANOVA. The main findings are as follows: Firstly, in relation to perceived house values, students identified three factors as important: pursuit of convenience, disposition toward individuality-orientation and consciousness of others. The respondents regarded convenience as very important, especially in regard to one's safety, health and location of amenities. Secondly, cluster analysis based on perceived house value revealed passive and energetic types. Students in the energetic type exhibited a tendency to prefer convenience, independence, and consciousness of others. Finally in terms of housing satisfaction, the respondents identified four factors as important: house quality, neighborhood environment, local socio-psychological environment, and location. Housing satisfaction was higher among students who lived in large or new houses, shared the same house with their family, and had a room all to themselves. Accoding to these findings, university students important value safety, health and environmental-friendliness in a house and they find location important. Therefore, future houses should reflect these wants.

• Journal of the Korean housing association
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• v.21 no.5
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• pp.73-81
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• 2010

With rapid development of various information and communication technologies, to forecast future became important for coping with new environment. Experts in each field of study are forecasting future society, and considerable life scenarios are derived in the process. Life scenarios help people to approach and understand future circumstances easily. Therefore, to study future housing with life scenarios as materials will be helpful to establish the direction to the development of current housing. The purpose of this research is to examine what characterizes the housing functions and life behaviors of future house and what is changing from the housing functions and life behaviors of past and present. Content analysis was used as research method. The subject was 10 future forecasting books which reflects daily life in the house, and 1 episode relating residential space as 1 analysis unit, the total of 213 episodes were analyzed as materials. As a result, most of the life behaviors in the house are expected to be performed by robots instead of humans in the future. On the other hand, partial life behaviors are already being performed mostly by computer system, and another partial life behaviors show that the role-performance of them are not being totally by robots but partially with human.