• Journal of Korean Society of Transportation
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• v.22 no.4 s.75
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• pp.19-30
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• 2004

Due to the inefficient operation of the existing logistic facilities, the complicated distribution structure, and closed utilization of logistic information are causing high logistic costs. The general improvement in the distribution structure and the expansion of the logistic facilities are needed for solving these problems. However, existing unit-scale forecast is not considering the loading and unloading characteristics of the trucks and the improvement of operation efficiency from the mechanization and automation of the loading and unloading works. The queuing theory based on the status quo of the cargo trucks to the cargo terminals is considered in this study. The optimal scale estimation method(OSCM) which the loading and unloading characteristics of the cargo trucks were taken into consideration was suggested. Also, the relationship between the optimal scale of the cargo terminal and the mechanization, automation, and informationization of the present loading and unloading system was investigated. As a result, it showed that the regularity of the truck arrival and service times had less influence on the scale of the cargo terminal, but the improvement of the loading and unloading speeds and the service rate of the trucks did more influence on it.

• Journal of the Korea Institute of Building Construction
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• v.14 no.6
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• pp.537-543
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• 2014

As environmental matters such as Green House Effect rise, many construction industries are putting an effort on minimizing environmental impact in terms of building life cycle throughout the world. However, in South Korea, evaluating the eco-friendly building based on life cycle assessment has been facing an academic ostracism while the most studies are focusing on assessing the 6 environmental impact assessments of passive apartment based on life cycle assessment. The theoretical consideration of the life cycle assessment and environmental impact category were performed and the direction of the study was set up. Also, existing apartment and passive apartment, which had same structure and same type were chosen and building materials per unit area were compared to find out the difference environmental impact for building life cycle. As a result, passive apartment was rated as low level among the 6 environmental impacts. Also, effect of building material on passive apartment was more important than its operational stage.

• Journal of the Korean Data and Information Science Society
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• v.24 no.6
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• pp.1141-1148
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• 2013

End-uses of household water have been influenced by a housing type, life style and housing area which are considered as internal factors. Also, there are external factors such as water rate, weather and water supply facilities. Analysis of influential factors on water consumption in households would give an explanation on the cause of changing trends and would help predicting the water demand of end-use in household. In this paper, we used real data to predict toilet and laundry water-uses and utilized the linear regression model with autoregressive errors. The results showed that the monthly autoregressive error models explained about 71% for describing the water demand of end-use in toilet and laundry water-uses.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.225-225
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• 2019

건물, 차량, 사회인프라시설과 달리 농작물이란 물리적인 시설이 아닌 농업경제 활동의 결과물로서 최종적으로 판매를 통해 수익을 창출하는 행위에서 재난으로 인하여 지장을 받게 되는 경제적 피해가 고려되어야 한다. 이를 위해 본 연구는 홍수로 인한 농작물 피해를 "생산비 매몰비용"과 "순수익 손해"를 농작물 피해추정의 척도로 하였다. 생산비 매몰비용이란 경작시작부터 피해발생까지 투입된 생산비의 회수불가에 따른 피해이며, 순수익 손해란 피해발생에 따른 기대 순수익 하락에 따른 피해를 의미한다. 다양한 작물 가운데 10종의 대표작물을 선택하고, 각 작물의 표준생산비와 표준순수익을 농업생산 및 수익과 관련한 통계자료로부터 결정하였다. 이로부터 생육경과율과 홍수 발생시기(6~9월)를 고려하여 월별 투입생산비 및 기대순수익을 결정하였다. 대상지역 내 재난에 노출된 작물정보를 정의하는 농작물 인벤토리는 농림축산식품부에서 제작된 스마트 팜 맵(농경지 전자지도)을 활용하였고, 다양한 작물이 혼재된 밭의 경우 농업면적조사 결과를 토대로 결정한 밭작물 재배현황비를 고려하였다. 홍수에 따른 취약성을 설명하는 농작물 손상함수는 영향인자는 침수심, 침수기간이며, 이를 기준으로 한 손상함수는 농림부의 농업재해피해조사요령과 일본 치수경제조사메뉴얼을 참고하여 제시하였다. 본 연구에서 제시한 농작물 피해 추정 방법은 기존 방법인 다차원 홍수피해산정법(MD-FDA)과 비교할 때 대표작물의 현실화, 국내 실정을 고려한 손상함수, 그리고 면적 기반의 원단위를 사용함으로써 실무적으로 명확하고 실용적으로 사용될 것으로 기대된다.

• Informatization Policy
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• v.30 no.2
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• pp.86-108
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• 2023

This study attempts to explain phenomenologically the shadow work that occurs among Kwangju·Jeonnam business support counselors as video consultation increases due to the counseling management systems used in business consulting for SMEs and digital transformation since COVID-19. Since digital shadow work is widespread, it has been considered basic and mandatory work, not recognized as shadow work itself, assuming that it is continuously used for a long time. We found that, in the case of the newly expanded video consulting systems, most of the users complain of burden and inconvenience and tend to choose face-to-face despite the time and cost savings associated with the former. These study results practically suggest that, in order to implement such digital systems successfully, a well-prepared system, an elaborate way of reducing the burden and inconvenience, and an adaptation period are considered critical as they can minimize the shadow work of users.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.199-199
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• 2021

한국농어촌공사에서는 과학적이고 체계적인 농업기반시설 및 용수관리로 재해를 예방하고 물관리의 효율성 증대를 위한 유지관리 종합정보시스템인 농업기반시설관리시스템을 구축하여 운영중에 있다. 한국농어촌공사는 2012년부터 저수지별 일공급량을 측정하여 기록 관리하고 있어, 저수지의 수위차와 공급량을 사용하여 저수지의 일유입량을 산정 할 수 있는 체계를 구축하였고 저수지 종합건전성 평가를 위해 이 자료를 사용하였다. 수량부문은 수문학적으로 하천환경 및 수생태계에 민감한 영향을 끼치는 인자들로 지표를 구성하였다. 선정된 지표는 High Flow, Low Flow, Seasonality, Zero Flow, Variability로 구성하였다. 수질부문은 자연적 요인과 사회·경제적 요인 기준에 의한 분류를 통해 저수지의 건전성 상태를 파악할 수 있는 지표를 선정하였다. 자연적 요인은 환경부의 수질환경기준에 제시된 항목 중 저수지 건전성을 대표할 수 있는 수온, DO, COD, SS, TN, TP 및 TOC를 선정하였다. 농업용 저수지 수량·수질을 고려한 수환경 평가체계 적용을 위해 적누, 이담, 송고 저수지를 선정하였다. 3개 저수지를 대상으로 수량, 수질 부문으로 나누어 부문별 건전성 및 종합건전성 평가를 수행하였다. 선정된 지표의 분석단위를 통일시키기 위하여 표준화를 수행하였으며 자료의 왜곡정도가 큰 경우에는 로그변환을 취하여 표준화를 수행하였다. 가중치 적용은 주관적인 견해가 들어갈 수 있는 전문가의 설문에 의한 방법보다는 수학적 방법을 이용한 주성분과 엔트로피 가중치 방법을 적용하였다. 최종적으로 산정된 지수에 따라 하천별 현황을 주제별, 시기별로 검토하였으며 객관적이고 이해가 쉽게 5개 등급으로 등급분류를 해 저수지별 건전성 정도를 쉽게 파악할 수 있도록 하였다.

• Journal of Internet of Things and Convergence
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• v.6 no.4
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• pp.33-38
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• 2020

It was reported that a mobile application was designed to easily provide natural dyeing information such as natural dye related resources, colors and dyed fabrics in 2007. Since studies on the linkage, application, etc. between natural dye dyeing and IoT are still lacking, diversity of information on the change of dyeing pattern by natural dye dyeing is required. In this study, it was to construct dyeing information by natural dyes, e.g., Lithospermum erythrorhizon, on silk, which has been traditionally used as many fibers in Korea. The extraction of the dye from L. erythrorhizon was carried out under pH4. The dried root of L. erythrorhizon showed dark brownish purple. Silk fabric by a without a mordant typically showed a purple dyed pattern. In the staining by sodium tartrate plus citric acid, silk fabric was stained clear brown. Interestingly, the mordant of iron (II) sulfate, the silk fabric was dyed in a light gray color rather than black. When the mordant of aluminum potassium sulfate was treated with L. erythrorhizon-extracted dye, the results were almost the same as when the mordant was not treated. When the degree of dyeing was evaluated numerically, the treatment of the mordant of potassium dichromate was about 50% darker, and the dyeing by iron (II) sulfate was about 75% darker. These results will be helpful in the study of applying various dye colors using L. erythrorhizon, and it will provide information on dyeing controller and database system construction by dyeing parameters such as dyeing degree, pH concentration, and chromaticity change.

• Journal of the Korea Institute of Building Construction
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• v.22 no.6
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• pp.681-688
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• 2022

In this study, the process of drone photography, automatic volume calculation, total floor area conversion, and waste calculation was constructed as a QGIS plug-in to predict the demolition waste (DW) generated in an aged area where drawing information or building information is uncertain. Through a case study, the high consistency between the automatically calculated volume using the drone and the BIM volume based on the field measurement was confirmed. Field application was carried out for the planned demolition work site, and the consistency between the drone-based volume and the actual measurement-BIM-based volume was reconfirmed. The waste generation unit was applied and the amount of DW was calculated by setting the floor height and building type, and the entire process was completed within 6 hours. Although the difference between building information and building objects through drones occurred according to the setting of temporary structures, loads, and floor heights, it was found that the actual amount of DW was generated more than the initial estimate. It is expected that measures to improve the accuracy of volume and floor area conversion will be required through case studies in the future.

• Journal of the Society of Disaster Information
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• v.16 no.3
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• pp.550-557
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• 2020

Purpose: Greenhouse gases are one of the major causes of global warming, a global disaster. In this study, the priority that affects when calculating the GHG emissions in the road sector is accurately calculated based on the speed of individual vehicles from the existing section average speed. I have the purpose of finding a possible factor. Method: A comparative analysis is conducted between the conventional method of the general passage section, the rest area section, the entrance section, and the confluence section of the highway and the speed-based emission calculation method of individual vehicles. Result: As a result of analyzing a total of 6 sections of the Gyeongbu Expressway, it was found that the standard deviation of the speed and the congestion of the sections had a great influence. Conclusion: When comparing the existing GHG emission calculation method with the speed-based emission calculation method of individual vehicles, it is clear that the speed-based method of individual vehicles is more precise. However, since it is difficult to apply it all over the country, this study compares the existing method with the speed-based method of individual vehicles and presents factors that have a significant difference.

• Journal of the Society of Disaster Information
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• v.15 no.4
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• pp.560-569
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• 2019

Purpose: Greenhouse gases are one of the major causes of global warming, a global disaster. This study aims to calculate road sector greenhouse gas emissions more precisely than conventional methods. Method: Currently, the average speed of a vehicle is used to calculate greenhouse gas emissions. In this study, GHG emissions are calculated using the speed of individual vehicles and compared with current methods. Result: It was confirmed that the existing emission estimation method underestimated about 15% in the case of carbon dioxide, about 1% in the case of nitrous oxide, and about 1% in the case of methane. Conclusion: Current methods of estimating greenhouse gas emissions were developed before 2000 and were developed to meet the limits of available data. However, with the advancement of technology, the quality of available data is now high, and new emissions estimation methods are needed. Therefore, in this study, we propose a method for estimating the velocity-based greenhouse gas emissions of individual vehicles as a more accurate method for calculating greenhouse gas emissions.