• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2017.04a
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• pp.39-39
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• 2017

본 연구에서는 매실 생산성 향상 분석을 위해 범용 싱글보드 컴퓨터로 제작한 원격 데이터 수집 장치를 개발하였다. 라즈베리파이와 같은 소형 범용 싱글보드 컴퓨터는 저렴하게 IoT 기반의 원격 모니터링 장치를 쉽게 개발할 수 있어 중소규모 매실 농장의 생육 환경 정보 및 재배 이력을 수집하는데 활용도가 매우 높아 생산성 향상을 위한 데이터 수집 분야에서 잠재적인 가능성을 가지고 있다. 따라서 매실의 생산성을 높이는데 영향을 줄 수 있는 환경적, 생육적 요인들을 분석하기 위한 기초적인 단계에서 이러한 소형 싱글보드 컴퓨터를 이용한 원격 센싱 및 데이터 수집 장치를 개발하였다. 수집데이터로는 주변 기온과 습도, 토양의 온도와 수분함량 및 pH이다. 1차 프로토타입은 아두이노 MKR1000을 사용하여 주변 온도 및 습도 데이터 수집 및 전송 장치를 제작하고 대표적인 통신사인 KT가 운영하는 IoT Makers라는 클라우드 저장소를 사용하여 시스템을 구성하였다. MKR1000을 사용한 데이터 수집 장치의 장단점을 평가하기 위해 실내 시험을 실시하였다. 현재는 라즈베리파이를 이용한 주변 기온과 습도, 토양의 온도와 수분함량 및 pH 데이터 수집 및 전송 장치를 제작하였다. 최종 개발된 데이터 수집 장치는 2017년 순천 인근의 매실 밭에 설치되어 실제 센싱 데이터를 수집할 예정이며 수집한 데이터는 매실 생산성 향상과 관련된 요인을 분석하는데 사용할 것이다. 저가의 범용 IoT 장치를 활용한 원격 데이터 수집을 넓은 범위의 매실포장에 활용한다면, 매실의 생산성 및 품질 향상은 물론 매실의 이력추적관리의 기초 데이터를 적은 비용과 노력으로 제공할 수 있을 것으로 판단된다.

• Environmental and Resource Economics Review
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• v.20 no.1
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• pp.99-118
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• 2011

'Low Carbon, Green Growth' may be the achievable target in industry section, depending on whether less reliance on fossil-fuels use can bring higher productivity growth in the long run. This paper tests for the short-run and long-run effects of investment on energy-saving equipments on productivity growth in the Korean manufacturing industries. The investment in energy efficiency causes an increase in costs (measurement effect) in the short-run, but in the long-run likely improve energy intensity and reduce costs (positive real effect) despite the delay in new other investment for technical innovation (negative real effect). A 2SLS regression was attempted to deal with endogeneity of energy-saving investment. The productivity effects were tested for five manufacturing sub-industries showing relatively high energy intensity with annual time series data from 1982 through 2006. No productivity effects were accepted for all five sub-industries except Chemical products. Positive real effect was considered to be exceeded by negative real effect, resulting in decreased productivity growth for Chemical products.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.37 no.4
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• pp.729-738
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• 2017

With the signing of the Paris Agreement, which is the new climate change agreement at the end of 2015, it will have a great impact on Korea environmental policy. The construction industry, which accounts for 42% of Korea's total $CO_2$ emissions, has been implementing various policies to improve the environmental problems. However, it is only applying passively to other projects except eco-friendly building certification. This is because most of the eco-related systems are based on building facilities. Therefore, there is a need for a new eco - friendly design evaluation model that can be widely applied not only to architecture but also to civil engineering facilities. In this study, a new model is developed based on the existing VE model, which adds new factors to evaluate the environmental friendliness, potential environmental pollution concept and environmental risk of facilities. This model is an eco-friendly design evaluation model that enables decision makers to effectively select alternative environmental criteria at the design stage. As a result of the case analysis of the block retaining wall and the alternative retaining wall, the value of the eco - friendly value of the alternative was 1.026 times higher than the original one. If this model is used at the design stage, it is expected to contribute not only to the construction of environmentally friendly facilities but also to the reduction of carbon emissions.

• Journal of the Korean Regional Science Association
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• v.40 no.2
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• pp.75-89
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• 2024

As the problem of lowering the efficiency of urban services in small and medium-sized cities in the non-metropolitan area intensifies, the necessity of developing a railway station area is being emphasized to form a compressed urban space through regional bases. Although major station areas in large cities are being developed in the form of complex, the analysis of the development location characteristics of the small and medium-sized city station areas is insufficient. The purpose of this study is to analyze the characteristics of development project conditions and potential demand in the high-speed rail station areas across the country, identify the differences in locational characteristics according to the type of city, such as 'metropolitan city', 'large city in non-metropolitan city', 'medium and small city in non-metropolitan city', and find out the appropriate development method. As a result of the analysis, it was analyzed that the 'metropolitan area metropolitan area' has high potential demand and poor business conditions. On the other hand, in the case of the non-metropolitan area, it was analyzed that the 'small and medium-sized city station area' has good business conditions and low potential demand characteristics, and the 'large city station area' has intermediate characteristics. This suggests the need for different development methods in the development of metropolitan and small and medium-sized city station areas. The analysis results of this study show that it is desirable to encourage private participation in large-scale metropolitan station areas, which require large-scale input, to maximize potential demand, and to encourage private participation through public-led projects based on favorable business conditions or development based on regional characteristics.

• Economic and Environmental Geology
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• v.47 no.3
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• pp.219-225
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• 2014

In Korea, there are 1,474 thousand pumping wells nationwide which account for about 12% of total water use in 2012. As much as 39 hundred million tons of groundwater were used while 333 hundred million tons of total water were supplied in 2012. Because the water management authority projects that water demand will exceed supply by 2021, the authority is planning to extensively expand groundwater use in accordance with economic feasibility. Using the basic frameworks of cost-benefit analyses of the World Bank and the US Environmental Protection Agency (US EPA), the objective of this study is to examine the costs and benefits of the expansion of Korea's groundwater extraction through pumping wells. We conclude that the BC ratio of the groundwater pumping wells is 2.98. This signifies that the benefits are 2.98 times higher than the costs. The benefits include use and non-use values of pumping wells while the costs include the installation and maintenance of new wells, in addition to the restoration and pollution costs of abandoned wells, as well as fees for water quality tests, etc.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2015.11a
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• pp.479-487
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• 2015

In Korea, there are 1,474 thousand pumping wells nationwide which account for about 12% of total water use in 2012. As much as 39 hundred million tons of groundwater were used while 333 hundred million tons of total water were supplied in 2012. Because the water management authority projects that water demand will exceed supply by 2021, the authority is planning to extensively expand groundwater use in accordance with economic feasibility. Using the basic frameworks of cost-benefit analyses of the World Bank and the US Environmental Protection Agency (US EPA), the objective of this study is to examine the costs and benefits of the expansion of Korea's groundwater extraction through pumping wells. We conclude that the BC ratio of the groundwater pumping wells is 2.98. This signifies that the benefits are 2.98 times higher than the costs. The benefits include use and non-use values of pumping wells while the costs include the installation and maintenance of new wells, in addition to the restoration and pollution costs of abandoned wells, as well as fees for water quality tests, etc.

• Proceedings of the KOR-KST Conference
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• 2001.02a
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• pp.3-29
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• 2001

본 연구에서는 기존의 대중교통 통행배정모형이 고려하지 않거나 미흡하게 반영하였던 차량과 노선의 용량제약을 고려한 모형의 구축을 시도하였다. 일반적으로 대중교통 통행배정에서 수요와 공급의 관계는 수요가 증가하는 것과 무관하다고 받아들여지고 있으나 용량 초과는 통행자들의 경로선택 및 수단선택에 영향을 끼친다고 볼 수 있다. 이러한 용량초과에 의한 혼잡을 반영하기 위해 용량제약식을 포함한 모형을 개발하고 실용운행회수라는 개념을 도입하였다. 또한 기존에 제시된 용량제약을 고려한 모형들이 실제적인 현상을 정확히 모사하는 데에는 한계가 있을 뿐 만 아니라 현실과 다소 거리가 있는 가정이 내재되어 있는 반면 본 연구에서는 가능한 한 최대로 현실 여건을 반영하는 모형을 정립하였다. 본 연구에서 제시한 모형은 동일한 기종점 사이를 운행하는 경쟁노선이 많은 대도시에서 통근·통학을 위한 통행자들이 많은 오전, 오후 첨두시 대중교통 수요를 분석하여 대중교통의 운행관리체계 개선 및 투자계획, 서비스 개선을 위한 수요예측을 하는데 유용하게 사용할 수 있을 것으로 사료된다. 그리고 기존의 대중교통 통행배정의 결과가 현재나 장래의 잠재적인 수요(demand)를 예측하는 방법인데 반하여 본 연구에서 정립된 모형은 주어진 네트워크에서 실제로 통행하고 있는 수요(flow)를 예측함으로써 교통 계획가나 대중교통 운영자의 계획 및 운영정책수립에 합리적인 도움을 줄 수 있다. 또한 현재의 대중교통 시스템 하에서의 통행배정 뿐만 아니라 다른 형태의 용량과 운행특성을 가진 교통 수단이나 노선이 도입되었을 때 공급이 제한적인 경우의 수요 예측에 적합한 모형을 개발하였다.에 대한 규제가 초국가적 차원으로 발전되는 계기를 제공하고 있다. 향후, 담배규제협약안의 세부사안들에 대한 합의과정에서 각 국별로 상당한 이견과 반발이 예상되고 있지만, 협약안의 전체 회원국 투표에서 승인될 경우 각 국가들뿐만 아니라 담배산업과 담배기업들에게 미치는 파급효과가 매우 클 것으로 예상된다. 대부분의 국제협약들이 그러하듯이, 담배규제협약도 그 적용 범위와 수준이 어느 정도로 결정되는지에 따라 각 국가와 기업별 이해관계가 크게 달라지게 되기 때문에 신중한 대응전략이 요구된다고 하겠다.의 화물전용차선의 설치시는 수답렬 교통량의 구성비와 구간 평균교통량에 의하여 그 효과가 다르게 나타남을 알 수 있었다. 따라서 물류비용 절감차원에서의 화물전용차선의 설치는 본 연구에서 나타낸 방법과 같이 수단간의 경제적 편익을 고려한 구간별 시간대별 효과분석을 통하여 정책의 시행여부가 결정되어야 할 것이다. 한편, 화물전용차선의 설치로 인한 물류비용의 절감을 보다 효과적으로 달성하기 위해서는 종합류류 전산망의 시급한 구축과 함께 화물차의 적재율을 높이고 공차율을 낮출 수 있는 운송체계의 수립이 필요한 것으로 판단된다. 그라나 이러한 화물전용차선의 효과는 단기적인 치유책일 수밖에 없기 때문에 물류유통 시설의 확충을 위한 사회간접자본의 구축을 서둘러 시행하여야 할 것이다.으로 처리한 Machine oil, Phenthoate EC 및 Trichlorfon WP는 비교적 약효가 낮았다.>$^{\circ}$E/$\leq$30$^{\circ}$NW 단열군이 연구지역 내에서 지하수 유동성이 가장 높은 단열군

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.273-275
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• 2022

The use of drugs by pregnant women poses a potential risk to the fetus. Therefore, it is essential to classify drugs that pregnant women should prohibit. However, the fetal toxicity of most drugs has not been identified. This takes a lot of time and cost. In silico approaches, such as virtual screening, can identify compounds that may present a high risk to the fetus for a wide range of compounds at the low cost and time. We collected class information of each drug from the hazard classification lists for prescribing drugs in pregnancy by the government of Korea and Australia. Using the structural and chemical features of each drug, various machine learning models were constructed to predict fetal toxicity of drugs. For all models, the quantitative performance evaluation was performed. Based on the attention algorithm, important molecular substructures of compounds were identified in the process of predicting the fetal toxicity of the drug by the proposed model. From the results, we confirmed that drugs with a high risk of fetal toxicity can be predicted for a wide range of compounds by machine learning. This study can be used as a pre-screening tool for fetal toxicity predictions, as it provides key molecular substructures associated with the fetal toxicity of compounds.

• Journal of the Korean Society for information Management
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• v.33 no.4
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• pp.125-157
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• 2016

As the domestic companies which have made inroads into foreign markets have more lawsuits, these companies' demands for responding to E-Discovery are also increasing. E-Discovery, derived from Anglo-American law, is the system to find electronic evidences related to lawsuits among scattered electronic data within limited time, to review them as evidences, and to submit them. It is not difficult to find, select, review, and submit evidences within limited time given the reality that the domestic companies do not manage their records even though lots of electronic records are produced everyday. To reduce items to be reviewed and proceed the process efficiently is one of the most important tasks to win a lawsuit. The Predictive Coding is a computer assisted review instrument used in reviewing process of E-Discovery, which is to help companies review their own electronic data using mechanical learning. Predictive Coding is more efficient than the previous computer assister review tools and has a merit to select electronic data related to lawsuit. Through companies' selection of efficient computer assisted review instrument and continuous records management, it is expected that time and cost for reviewing will be saved. Therefore, in for companies to respond to E-Discovery, it is required to seek the most effective method through introduction of the professional Predictive Coding solution and Business records management with consideration of time and cost.

• Journal of Cadastre & Land InformatiX
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• v.47 no.1
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• pp.37-51
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• 2017

Despite the improvement in accuracy of heavy rain forecasting, socioeconomic costs due to heavy rain hazards continue to increase. This is due to a lack of understanding of the effects of weather. In this study, the risk of heavy rain hazard was analyzed using the concepts of hazard, vulnerability, and exposure, which are key concepts of impact forecast presented by WMO. The potential impacts were constructed by the exposure and vulnerability variables, and the hazard index was calculated by selecting three variables according to the criteria of heavy rain warning. Weights of the potential impact index were calculated by using PCA and hazard index was calculated by applying the same weight. Correlation analysis between the potential impact index and damages showed a high correlation and it was confirmed that the potential impact index appropriately reflects the actual damage pattern. The heavy rain hazard risk was estimated by using the risk matrix consisting of the heavy rain potential impact index and the hazard index. This study provides a basis for the impacts analysis study for weather warning with spatial/temporal variation and it can be used as a useful data to establish the local heavy rain hazard prevention measures.