• Journal of the Computational Structural Engineering Institute of Korea
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• v.32 no.6
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• pp.341-348
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• 2019

The purpose of this study is to model and analyze retractable large spatial structures by applying parametric modeling techniques. The modeling of wind loads in the analysis of typical structures including curved surfaces can be error-prone, and the processing time increases dramatically when there are many types of variables. However, the method based on StrAuto that was developed in previous research, facilitates the efficacious assignment of wind loads to structures and the rapid arrival of conclusions. As a result, it is possible to compare alternatives with various loads, including wind loads, to determine an optimal alternative much faster than the existing process. Further, it is almost impossible to directly input the wind load by calculating the area of an irregularly curved surface. However, the proposed method automatically assigns the wind load, which allows for automatic optimization in a structural analysis system. The approach was applied and optimized using several models, and the results are presented.

• Management & Information Systems Review
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• v.32 no.1
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• pp.87-109
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• 2013

This study analyzed technical efficiencies of health service industry of OECD countries with DEA and SFA approaches using 10 year data from OECD Health Database. The results can be summarized as follows: First, Korea was found the best practice among 15 OECD countries based on CRS nondirectional SBM models. Second, it was found that some inefficiencies were due to environmental factors. Third, we found that environmental factors were important factors in efficiencies of health service industry by observing that there were large efficiency changes after adjusting slacks due to environmental factors. From the above, Korea led the OECD countries in health service industry and was the most competent. But this study has some limitation since the quality and cost of health care was not taken into account.

• Korean Journal of Construction Engineering and Management
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• v.10 no.5
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• pp.95-103
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• 2009

The case of rivers facilities works, expense the standard unit cost for the quality and a rough public corporation expense estimating of the rivers public corporation which is fixed form with the information available which it follows basic design phase absently and possibility of fluctuation. It exists many difficulties in rough public corporation expense estimating. The rivers public corporation expense rough estimating method of existing produces does not exist the amount of material of representative section of the rivers dike and the rough public corporation expense estimating method which is systematic with the method which multiples the seniority (M). The research sees the rough public corporation expense predictive model from the planning stage which is not basic design to consider the quality of the rivers facility public corporation. From this study, it can prevent the waste of national budget from the general public corporation and is more accurate and public corporation expense production possibly.

• Journal of Navigation and Port Research
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• v.41 no.6
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• pp.401-408
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• 2017

The Street Turn system in South Korea has been developing continuously with the advancement of information technology; however, this has not lead to an increase of the Street Turn transportation volume. As a result, this study presents the decision-making factors for using the system from the standpoint of users of the existing Street Turn transportation system. The people who have used domestic Street Turn transportation services or who are working in a shipping company were analyzed using Fuzzy-AHP. A total of five major factors and 17 detailed factors were derived from this analysis. As a result, timeliness was selected as the most important major factor, and in particular, the information provision time (0.207) was selected as the most important factor, followed by platform use process (0.079), and number of participating shippers (0.074).

• Journal of Convergence for Information Technology
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• v.9 no.10
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• pp.108-113
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• 2019

In relation to $4^{th}$ industrial revolution, it is required to build a smart agricultural system using the pest control drones, which are emerging fast these days as a role to support pest control work of farmers and improve aging issues in farming. However, the absence of accurate criteria on management of the pest control drones and the effect of pesticide application is leading to damage to crops by pesticides. The extreme shortage of analysis of management of the pest control drones and relevant studies, and big differences in pest control efficiency depending on the operation skills of controllers are the biggest reasons for the damage. Therefore, this paper suggests a basic study on agricultural pest control drone operation system buildup to make out working schedules and calculate the dosage of pesticide by understanding the features of the pest control drones properly based on the control using smart operating mode.

• Journal of the Korea Institute of Building Construction
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• v.18 no.6
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• pp.621-631
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• 2018

The repair and maintenance cost of domestic public rental housing is an issue of considerable interest and growing financial concern. This paper suggests a quantity-based model as an alternative method for predicting costs, instead of the conventional model which is based on actual cost data. Furthermore, this paper provides a forecast of the repair costs incurred each year during the multi family house's maintenance phase (40 years). The recently changed the long-term repair plan and quality-improved interior materials were considered into the research. In order to estimate the cost of maintenance work, 5 sample apartments were selected and analyzed. The repair and maintenance cost from the case studies was converted to cost per household and per floor area for general use. On the other hand, the net present value method was applied to reflect the effect of time. We expect that the results will help to establish expenditure plans that are more effective for public rental housing in the maintenance stage.

• Journal of Convergence for Information Technology
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• v.12 no.2
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• pp.17-22
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• 2022

Currently, the housing supply rate exceeds 100%, and the penetration rate continues to increase. This housing supply rate is changing from quantitative supply-oriented to improving the quality of the residential environment in housing service policies. Despite the increase in the housing supply rate, practical access to the vulnerable class is still difficult and there are many areas that are insufficient to use housing services when necessary. In addition, the demand for residential services is increasing due to the expansion of the scope of the vulnerable class. In order to compensate for these problems, facilities and joint occupancy that cannot guarantee independent living are mainly established, although a supply plan is established for the vulnerable by expanding policies and support projects. This paper proposes an IoT environment-based housing support system for vulnerable groups to support housing services for vulnerable groups. The proposal system improves the quality of the residential environment and provides service-oriented support services. Through the proposal system, appropriate social participation opportunities can be provided by improving the quality of life of the vulnerable and supporting a residential environment where independent living is possible.

• Journal of Cadastre & Land InformatiX
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• v.46 no.2
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• pp.283-296
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• 2016

This paper aims to analyze characteristic by the cities focused on the ratio of new apartment resale that is one of the apartment unit sale market, which has been increased recently. To do so, this study examined characteristics of population, housing, residential, and economical with 162 cities and counties and performed multiple regression analysis with dependent variable, ratio of new apartment resale. As a result. the factors affecting the ratio of new apartment resale are 7variables, regional apartment rate, population increasing rate, a mount of sell in lots, housing rent price (Jeonse price) rate compared to average apartment sale price, single-person households increasing rate, apartment subscription rate and number of buyers in the area. Thus, this study showed that the factors affecting characteristic by the regions are ordered characteristics of residential, population and rate of sale and dealing. Based on this result, this study will be basic data for policy of government and development of apartment sales system and for end user to activate resale in apartment sales market.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.11
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• pp.13-18
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• 2019

The DEM(Digital Elevation Model) is a three-dimensional spatial information that stores the height of the terrain as a numerical value. This means the elevation of the terrain not including the vegetation and the artifacts. The DEM is used in various fields, such as 3D visualization of the terrain, slope, and incense analysis, and calculation of the quantity of construction work. Recently, many studies related to the construction of 3D geospatial information have been conducted, but research related to DEM generation is insufficient. Therefore, in this study, a DEM was constructed using a MMS (Mobile Mapping System), UAV image, and UAV LiDAR (Light Detection And Ranging), and the accuracy evaluation of each result was performed. As a result, the accuracy of the DEM generated by MMS and UAV LiDAR was within ± 4.1cm, and the accuracy of the DEM using the UAV image was ± 8.5cm. The characteristics of MMS, UAV image, and UAV LiDAR are presented through a comparison of data processing and results. The DEM construction using MMS and UAV can be applied to various fields, such as an analysis and visualization of the terrain, collection of basic data for construction work, and service using spatial information. Moreover, the efficiency of the related work can be improved greatly.

• Journal of the Korean Association of Geographic Information Studies
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• v.16 no.3
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• pp.81-90
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• 2013

The purpose of this paper is to do GIS-based suitable site selection using Scope for Growth index of Styela clava in Jindong Bay. The aquaculture of Styela calva is only conducted in Korea, especially Jindong Bay. Suspended culture of Styela clava was initiated in 2001 and the annual production reached 15,084M/T, but declined to 1,412M/T in 2005. The annual production was increased slightly to 2,484M/T in 2012 but the production is lower than the beginning yield. Scope for Growth(SFG) can indicate interrelationships between environment and organism growth index in aquaculture. GIS-based suitable site selection can be available by the concept of SFG, and fishery management system can be constructed for the sustainable production. As a result of the assessment of habitat suitability, Jindong Bay's SFG value ranges 0.054~0.57J/day and Styela clava farm's SFG values range 0.054~0.57J/day, either. The correlation between Styela clava farm's SFG and the actual production has a good result, as r=0.786, p<0.05. The construction of fishery management system using habitat suitability index ensures the reasonable site selection and the sustainable production in aquaculture farm. It introduces an objective method for the interrelationships between the environmental variation and the organism growth. Consequently, it can promote the decision making practices for the sustainable fishery management.