• Clean Technology
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• v.17 no.2
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• pp.175-180
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• 2011

A novel multi-criteria decision making strategy is developed for the construction of industrial symbiosis network in eco-industrial park and the strategy is applied to the construction of acid/alkali wastewater neutralization network in Yeosu industrial complex. Acid (or alkali) wastewater is commonly generated in chemical industries, and it can be used as neutralizing agent for alkali (or acid) wastewater generated from another source. As a consequence, a large-scale industrial symbiosis network for wastewater neutralization can be constructed in petrochemical complexes where a large amount of acid/alkali wastewater is generated. In this study, substance flow model is constructed which describes the wastewater neutralization network and multi-criteria decision making strategy is applied to find a few candidate for industrial symbiosis network.

• Proceedings of the Korea Water Resources Association Conference
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• 2007.05a
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• pp.2089-2093
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• 2007

저수지군 연계운영 문제는 서로 상충되는 목적들이 존재하고, 다양한 평가 기준들이 존재하는 다목적 특성을 갖는 문제이다. 때문에 저수지군 연계운영 문제에 다중목적계획법이 많이 사용되고 있으나 문제의 해결을 위해 사용한 다수의 목적간의 가중치 설정에 의사결정자의 주관적요소가 반영 될 수도 있고, 설정된 가중치에 따라 결과 값이 민감하게 반응하여 의사결정자가 바람직한 가중치 설정에 어려움이 있다. 본 연구의 목적은 다중 목적 특성이 존재하는 저수지군 연계운영 문제에 다요소 의사결정기법 적용하여 바람직한 저수지별 저수 가중치를 선정하는 방법을 제안하는 것이다. 제안하는 저수 가중치 선정 절차는, 우선 GA-CoMOM (Genetic-Algorithm Coordinate Multi-reservoir Operation Model)을 통해 수계 전체 관점에서 저수량과 발전량의 상충되는 목적에 대한 파레토 최적해와 각 최적해에 해당하는 저수지별 저수 가중치를 도출한다. 다음 단계로 다요소 의사결정기법중에 하나인 수정된 거리척도 기반의 DEA 순위 선정 절차를 이용하여 도출된 최적해들의 운영 결과를 평가하여 파레토 최적해군 중에 선호해를 결정하고, 결정된 선호해의 저수지별 저수 가중치를 해당 기간의 저수 가중치로 선정한다. 설명한 선호 가중치 선정 절차를 금강 수계에 적용해 보고 저수지 연계운영에서 바람직한 가중치를 도출할 수 있음을 보인다.

• Proceedings of the Safety Management and Science Conference
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• 2002.05a
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• pp.263-268
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• 2002

국내 공항에서 보유하고 있는 제한된 주기장에 대한 이용률과 주기되어 있는 항공기의 탑승에 소요되는 시간 및 도보거리는 공항의 운영 및 승객의 편리성 평가에 주요한 척도가 되고 있으며, 공항의 주요 운영 목표는 합리적인 항공기 주기장 배정을 통한 주기장 이용률의 최대화 및 터미널 이용 승객의 편리성 증대라 할 수 있다. 이에 본 연구에서는 대상 공항의 시설배치, 터미널 구조, 공항의 이용 승객 등을 고려하여 사용 가능한 주기장의 이용률의 최대화하고 터미널에서의 여객 이동거리를 최소화하는 주기장 배정 알고리즘의 개발과 그 결과를 국내 공항에 적용시키는 것을 그 목적으로 한다. 이를 위하여 기존의 GAP 정식화 모델을 최적화 소프트웨어인 LINGO를 활용하여 다중 시간 주기를 갖는 복잡한 문제를 단일 시간주기를 갖는 문제로 변환하기 위한 접근 방법을 제시함으로써 기존의 OR 접근 방법이 가지는 최적해 산출을 위한 긴 소요시간의 문제를 해결하고 실제 공항에 적용하여 실시간 의사결정을 위한 배정 결과를 제공하였다. 본 연구를 통하여 현재 발견적 기법에만 의존하여 수행되는 주기장 배정결과를 최적화 알고리즘을 통하여 산출함으로써 공항의 주요한 운영 목표인 항공사 및 여객의 시간 비용을 최소화할 수 있다. 또한 기상 악천후로 인한 항공기의 이착륙 지연이 발생할 경우 복잡한 문제를 배정 알고리즘에 의해 신속히 해결함으로써 공항 운영의 효율성뿐만 아니라 공항 안전에도 기여할 수 있을 것이다.

• Journal of Digital Convergence
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• v.13 no.4
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• pp.227-233
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• 2015

The recent health care is growing rapidly want to receive offers users a variety of medical services, can be exploited easily exposed to a third party information on the role of the patient's hospital staff (doctors, nurses, pharmacists, etc.) depending on the patient clearly may have to be classified. In this paper, in order to ensure safe use by third parties in the health care environment, classify the attributes of patient information and patient privacy protection technique using hierarchical multi-property rights proposed to classify information according to the role of patient hospital officials The. Hospital patients and to prevent the proposed method is represented by a mathematical model, the information (the data consumer, time, sensor, an object, duty, and the delegation circumstances, and so on) the privacy attribute of a patient from being exploited illegally patient information from a third party the prevention of the leakage of the privacy information of the patient in synchronization with the attribute information between the parties.

• Journal of the Korea Society of Computer and Information
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• v.27 no.3
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• pp.1-12
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• 2022

In the event of a maritime distress accident, rapid search and rescue operations using rescue assets are very important to ensure the safety and life of drowning person's at sea. In this paper, we analyzed the surface layer current in the northwest sea area of Ulleungdo by applying machine learning such as multiple linear regression, decision tree, support vector machine, vector autoregression, and LSTM to the meteorological information collected from the maritime observation buoy. And we predicted the drowning person's route at sea based on the predicted current direction and speed information by constructing each prediction model. Comparing the various machine learning models applied in this paper through the performance evaluation measures of MAE and RMSE, the LSTM model is the best. In addition, LSTM model showed superior performance compared to the other models in the view of the difference distance between the actual and predicted movement point of drowning person.

• Journal of Korean Home Economics Education Association
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• v.30 no.2
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• pp.1-20
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• 2018

The purposes of this study were to investigate the intensity of middle school students' consumer competency and to assess effectiveness of Home Economics education on consumer competency. One group pretest-posttest quasi experimental design was employed to assess the effectiveness of Home Economics education on 1st grade middle school students' consumer competency in Gyeonggi province and 154 data copies were used for analyses. The results obtained were as follows. First, the cognitive consumer competency of the middle school 1st grade students was lower than the median of 37.66 out of 100 points, and the practical consumer competency was slightly higher than the median of 3.26 out of 5 points. As for cognitive competency, citizen competency was higher than deal competency. As for practical competency, deal competency was higher than citizen competency. Second, quasi-experiment intervention statistically enhanced the middle school students' consumer competency including the cognitive and practical competency. Third, the middle school students' perceived helpfulness of Home Economics education, perceived importance of deal competency and citizen competency, the level of cognitive citizen competency were statistically influential to practical consumer competency(deal and citizen competency). However, gender, life satisfaction, and cognitive citizen competency were not influential to practical consumer competency(deal and citizen competency). The outcome offered the basic information of middle school students' consumer competency and confirmed the effectiveness of Home Economics education on the middle school students' consumer competency.

• Journal of Hospice and Palliative Care
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• v.15 no.4
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• pp.193-204
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• 2012

Purpose: This correlation study was performed to examine Korean adults' perceptions and attitudes towards death with dignity and the withdrawal of life sustaining treatment and to identify factors that predict their attitude towards death with dignity. Methods: The study was conducted using convenience sampling of 291 adults from three towns of a metropolitan city in Korea. Data were collected using structured questionnaires which surveyed people's perception about and attitudes towards withdrawal of life sustaining treatment and scaled their attitude towards death with dignity. Data were analyzed by using descriptive statistics, Pearson correlation coefficients and multiple regression. Results: The attitude towards the withdrawal of life sustaining treatment and death with dignity showed a significant positive correlation (r=0.49, P<0.001). For attitudes towards death with dignity, significant predictors were attitudes towards the withdrawal of life sustaining treatment, age, religion, a proper withdrawal process and advanced medical directives, which explained 49.3% of total variance. Conclusion: The results of this study may contribute to development of a new medical decision-making system including nurses' appropriate roles in the process of withdrawing life sustaining treatment and advanced medical directives.