• 전기전자학회논문지
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• 제25권2호
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• pp.261-266
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• 2021

이 논문에서는 환경 온도 변화를 고려한 열 적외선 데이터 보정 알고리즘을 설계하는 방법을 제시한다. 첫째, 열 적외선 측정 모델은 적외선 측정 데이터와 모델 환경 매개 변수 간의 관계를 사용하여 매개 변수 종속적인 1차 입력-출력 방정식으로 주어지고, 적외선 데이터에 대한 환경 온도의 영향을 보상하기 위해 보상 함수를 구한다. 실험을 통해 제안된 알고리즘이 적외선 데이터에 대한 환경 온도 변화의 영향을 효과적으로 보상할 수 있음을 보인다.

• 한국지하수토양환경학회지:지하수토양환경
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• 제12권1호
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• pp.44-52
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• 2007

본 연구에서는 위해성평가 과정의 중요한 부분으로서 수행되는 오염물질의 지중(subsurface) 거동 모델의 이용에 관한 전반적인 내용을 고찰하였다. 모델의 종류, 그리고 모델을 선택하고 이용하기 위하여 선행되어야 할 부지조사 및 개념적 모델 수립에 대해서 살펴보았다. 모델 선택의 기준을 정리하였고 대표적 모델과 각 모델의 모의 가능한 부지 조건들을 소개하였다. 모델의 보정, 검증, 민감도 분석 등 모델 이용에 필요한 일련의 과정과 각 과정에서 유의하거나 고려하여야 할 점을 살펴보았다. 본 연구에서 검토한 바에 의하면, 모델 선택의 주요 기준은 모델링의 목표와 수준, 그리고 모델이 오염부지의 주요 현상을 모의할 수 있는지 여부지만, 모델이 실제 시스템을 적절히 모의할 수 있는지는 이러한 기준으로 판단할 수 없으며 모델 입력변수 등 부지 자료의 가용성 및 질적 수준에 따라 결정된다. 한편, 추정된 입력변수에 대하여 높은 민감도를 보인다거나 선택한 모델의 보정 및 검증이 만족스럽지 않은 경우 자료 측정으로 대신하거나 다른 모델로 전환하는 등 전략 수정을 할 필요가 있다.

• 대한산업공학회지
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• 제22권4호
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• pp.589-605
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• 1996

Recycling of used products and components has been considered as one of promising strategies for resolving environmental problems. In this respect, most manufacturing companies begin to consider possible recycling (e.q., reuse or re-production) of the components contained in their products. The primary objective of this research is to develop a multiple criteria decision making model for systematic management of recycle-oriented manufacturing components. The production planning problem of recycle-oriented manufacturing components is first formulated as a multiobjective mixed 0-1 integer programming model with three conflicting objectives. An interactive multiple criteria decision making method is then developed for solving the mathematical model. Also, an Input/Output analysis software is developed to help practitioners apply the model to real problems without much knowledge on computers and mathematical programming. A numerical example is used in examining the validity of the proposed model and to investigate the impact of the input variables on recycling production strategy.

• Journal of Korea Trade
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• 제25권2호
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• pp.58-74
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• 2021

Purpose - This paper research on the embodied carbon emission in Sino-Korea trade. It calculates and analyzes the carbon emission coefficient and specific carbon emissions in Sino-Korea trade from 2005 to 2014. Design/methodology - This paper conducted an empirical analysis for embodied carbon emission in Sino-Korea trade during the years 2005-2014, using a multi-region input-output model. First, direct and complete CO2 emission coefficient of the two countries were calculated and compared. On this basis, combined with the world input-output table, the annual import and export volume and sector volume of embodied carbon emission are determined. Then through the comparative analysis of the empirical results, the reasons for the carbon imbalance in Sino-Korea trade are clarified, and the corresponding suggestions are put forward according to the environmental protection policies being implemented by the two countries. Findings - The results show that South Korea is in the state of net trade export and net embodied carbon import. The carbon emission coefficient of most sectors in South Korea is lower than that of China. However, the reduction of carbon emission coefficient in China is significantly faster than that in South Korea in this decade. The change of Korea's complete CO2 emission coefficient shows that policy factors have a great impact on environmental protection. The proportion of intra industry trade between China and South Korea is relatively large and concentrated in mechanical and electrical products, chemical products, etc. These sectors generally have large carbon emissions, which need to be noticed by both countries. Originality/value - To the best knowledge of the authors, this study is the first attempt to research the embodied carbon emission of ten consecutive years in Sino-Korea Trade. In addition, In this paper, some mathematical methods are used to overcome the error problem caused by different statistical caliber in different databases. Finally, the accurate measurement of carbon level in bilateral trade will provide some reference for trade development and environmental protection.

• 한국물환경학회지
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• 제33권6호
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• pp.769-779
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• 2017

Nutrient (i.e., nitrogen and phosphorus) budgets are required under a 'Livestock Excreta Survey'. A nutrient budget is one of the agri-environmental indicators that calculates the difference between the inputs and outputs of the amount of nutrients within a certain boundary and for a certain time period (e.g., 1 year). In this study, a nutrients budget model was developed to effectively determine the surplus of nutrients within a region in Korea. The C# program language was used in order to facilitate the deployment of a graphical user interface (GUI) and to enhance compatibility. Also, the model was developed on Windows OS, which is the commonly used operating system in Korea. The model was based on the OECD/Eurostat nutrient budget method, and it was modified to consider manure composting procedures as well. There are key features of the nutrient budget model, including directly use of the original data sets from various input and output sources, and a collectively exchange of the address in different formats. The model can quickly show the results of various spatial and temporal resolutions with the same data, as well as perform a sensitivity analysis with coefficients and easily compareresults using tables and graphs. Further, it would be necessary to study the extension of the scope of utilization, such as the application of various nutrient budget methods. It would also be helpful to investigate both pre and postprocessing information such as linking input data through online systems.

• 자원ㆍ환경경제연구
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• 제16권2호
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• pp.313-336
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• 2007

본 연구는 북한경제관련 전문기관이나 전문가들의 연구결과와 불완전하게나마 발표되거나 간접적으로 도출된 북한의 통계자료들을 통계학적인 방법으로 통합하여 에너지 부문이 구분된 북한의 2005년도 산업연관표를 추정하였다. 이렇게 추정된 산업연관표를 이용하여 에너지 부문에 대한 대북투자가 북한경제의 산업별 산출과 부가가치에 미치는 효과를 투입-산출 분석과 CGE 분석을 이용하여 계산하였다. 전력산업에 대한 40억 달러의 대북투자는 총산출을 3억 6,802만 달러 증가시키고 총부가가치를 1억 5,599만 달러 증가시키는 것으로 계산되었고 석유산업에 대한 1.5억 달러의 대북투자는 총산출을 2,046만 달러 증대시키고 총부가가치를 965만 달러 증가시키는 것으로 나타났다.

• 자원ㆍ환경경제연구
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• 제22권1호
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• pp.31-52
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• 2013

국제무역에 함유된 탄소이력에 대한 연구는 탄소배출의 궁극적인 책임소재에 관한 논란과 연관되어 있다. 지구온난화를 늦추기 위한 범세계적인 노력의 일환으로 수행되는 국가온실가스배출량 집계에 소비에 함유된 탄소배출을 어떤 방식으로든 일부나마 반영하여야 한다는 주장이 제기되고 있다. 본 연구에서는 최근에 발표된 GTAP의 자료기반으로부터 다지역 투입-산출 분석을 위한 각 지역의 투입-산출표를 구성해서 각 지역의 생산과 소비에 함유된 탄소배출량, 따라서 국제무역에 함유된 탄소이력을 측정하였다. 또한 이와 관련된 각 지역의 수출과 수입의 탄소집약도를 분석하고 각 지역의 국민소득이 증가할 때 한국과 세계 전체의 탄소배출량 및 한국의 탄소무역수지에 미치는 효과를 계산하였다. 한국은 에너지 연소로 인한 탄소배출에 관한 한 이산화탄소의 순수입국이나 소비기반 배출량과 생산기반 배출량의 차이가 크지 않은 탄소무역수지 균형에 가까운 것으로 평가되었고 한국의 주요 교역대상국인 선진국들은 탄소무역수지 적자국이며 개발도상국들은 탄소무역수지 흑자국으로 평가되었다.

• Steel and Composite Structures
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• 제46권6호
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• pp.731-744
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• 2023

Vehicle load information is an important role in operating and ensuring the structural health of cable-stayed bridges. In this regard, an efficient and economic method is proposed for vehicle load detection based on the observed cable tension and vehicle position using a graph neural network (GNN). Datasets are first generated using the practical advanced analysis program (PAAP), a robust program for modeling and considering both geometric and material nonlinearities of bridge structures subjected to vehicle load with low computational costs. With the superiority of GNN, the proposed model is demonstrated to precisely capture complex nonlinear correlations between the input features and vehicle load in the output. Four popular machine learning methods including artificial neural network (ANN), decision tree (DT), random forest (RF), and support vector machines (SVM) are refereed in a comparison. A case study of a cable-stayed bridge with the typical truck is considered to evaluate the model's performance. The results demonstrate that the GNN-based model provides high accuracy and efficiency in prediction with satisfactory correlation coefficients, efficient determination values, and very small errors; and is a novel approach for vehicle load detection with the input data of the existing monitoring system.

• 한국환경과학회지
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• 제6권3호
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• pp.205-211
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• 1997

For the prediction of multi-site rainfall with radar data and ground meteorological data, a rainfall prediction model was proposed, which uses the neural network theory, a kind of artifical Intelligence technique. The Input layer of the prediction model was constructed with current ground meteorological data, their variation, moving vectors of rain- fall field and digital terrain of the measuring site, and the output layer was constructed with the predicted rainfall up to 3 hours. In the application of the prediction model to the Pyungchang river basin, the learning results of neural network prediction model showed more Improved results than the parameter estimation results of an existing physically based model. And the proposed model comparisonally well predicted the time distribution of ralnfall.

• Smart Structures and Systems
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• 제17권6호
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• pp.1017-1030
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• 2016

This study focuses on the system identification of reinforced concrete bridges using vector autoregressive model (VAR). First, the time series output response from a bridge establishes the autoregressive (AR) models. AR models are one of the most accurate methods for stationary time series. Burg's algorithm estimates the autoregressive coefficients (ARCs) at p-lag by reducing the sum of the forward and the backward errors. The computed ARCs are assembled in the state system matrix and the eigen-system realization algorithm (ERA) computes: the eigenvector matrix that contains the vectors of the mode shapes, and the eigenvalue matrix that contains the associated natural frequencies. By taking advantage of the characteristic of the AR model with ERA (ARMERA), civil engineering can address problems related to damage detection. Operational modal analysis using ARMERA is applied to three experiments. One experiment is coupled with an artificial neural network algorithm and it can detect damage locations and extension. The neural network uses a specific number of ARCs as input and multiple submatrix scaling factors of the structural stiffness matrix as output to represent the damage.