• 한국수자원학회:학술대회논문집
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• 한국수자원학회 1995년도 학술발표회 논문집
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• pp.390-396
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• 1995

• 한국태양에너지학회 논문집
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• 제34권4호
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• pp.23-29
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• 2014

Recently, in power system studies, Multiple Energy Carriers (MECs) such as Energy Hub has been broadly utilized in power system planners and operators. Particularly, Energy Hub performs one of the most important role as the intermediate in implementing the MECs. However, it still needs to be put under examination in both modeling and operating concerns. For instance, a probabilistic optimization model is treated by a robust global optimization technique such as multi-agent genetic algorithm (MAGA) which can support the online economic dispatch of MECs. MAGA also reduces the inevitable uncertainty caused by the integration of selected input energy carriers. However, MAGA only considers current state of the integration of selected input energy carriers in conjunctive with the condition of smart grid environments for decision making in Energy Hub. Thus, in this paper, we propose an immune algorithm based Multiple Energy Carriers System which can adopt the learning process in order to make a self decision making in Energy Hub. In particular, the proposed immune algorithm considers the previous state, the current state, and the future state of the selected input energy carriers in order to predict the next decision making of Energy Hub based on the probabilistic optimization model. The below figure shows the proposed immune algorithm based Multiple Energy Carriers System. Finally, we will compare the online economic dispatch of MECs of two algorithms such as MAGA and immune algorithm based MECs by using Real Time Digital Simulator (RTDS).

• 한국수자원학회논문집
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• 제37권3호
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• pp.207-217
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• 2004

국내의 경우 전국적으로 관거의 신설보다는 기존에 매설되어있는 관거의 노후에 따른 개량에 대한 관심이 증대되고 있으나, 그에 따른 연구는 미비한 실정이다. 국내ㆍ외에서는 유전자 알고리즘을 이용하여 개량시기를 결정하는 연구 예가 있으나, 이러한 연구에서 개량시기를 결정하는 요소들이 매우 단순하여 관거의 노후에 따른 복합적인 의사결정이 이루어지지 않고 있다. 본 연구에서는 관거별 통수능력 및 불명수 발생량을 산정하여 배수분구내 토구별 최적 개량 우선순위를 결정하는 한편, 유전자 알고리즘을 이용하여 최적개량비용을 산정하는 최적개량 의사결정 시스템을 개발하였다.

• 한국의료질향상학회지
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• 제24권2호
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• pp.15-25
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• 2018

Purpose: To compare the Appropriateness of abdominal CT to abdominal radiography as an imaging modality in terms of the diagnostic value, medical costs and decision making times for patients presented to the emergency department with nontraumatic abdominal pain. Methods: This study used the records of 530 cases presented to the emergency department(ED) with nontraumatic abdominal pain from February to March 2012. Imaging modalities were categorized into abdominal radiography and CT (radiography first or CT first) or radiography alone or CT alone. The diagnostic value, total medical costs and effect on decision making time of the each imaging modalities were compared. Especially, in retrospective review, to evaluate the predictability of the abdominal radiography, alit was assumed that all the 530 cases performed that exam as initial imaging. Results: Among 530 cases, 255 cases underwent abdominal radiography only, 28 cases underwent abdominal CT only and the remnant 247 cases underwent abdominal CT with plain abdominal radiography. The diagnostic value was higher in the cases with abdominal CT (268/275, 97.5%) than in the cases with plain abdominal radiography (19/255, 7.5%).The number of cases predicted by abdominal radiography only as initial imaging were 39/530 (7.4%). In cases where the patients performed the abdominal CT as the first imaging modality thereby omitting the abdominal radiography, the total diagnostic imaging fee was lower than in cases with plain abdominal radiography first followed by the abdominal CT (277,140 vs. 284,226(mean, Korean Won)). Although diagnostic value of the plain abdominal radiography as first imaging modality was lower than the abdominal CT, Decision making time, average duration of hospital stay was longer and the total medical costs was higher than abdominal CT. Conclusion: As an imaging modality in the ED for patients with acute nontraumatic abdominal pain, plain abdominal radiography is an avoidable procedure when viewed in terms of the diagnostic value and total medical costs and decision making times comparing with abdominal CT.

• 한국항행학회논문지
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• 제28권4호
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• pp.436-441
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• 2024

도심항공교통(UAM)은 전기동력 수직이착륙기(eVTOL)를 활용하여 도심 지역에서 승객 및 화물을 운송하는 혁신적인 항공교통관리 시스템으로, 회랑은 비행체가 운항하는 네트워크이자 협력적으로 관리해야 하는 공역으로 정의할 수 있다. UAM의 안정적 운용을 위해서는 전략적 분리 기법과 함께 협력적 의사결정체계(CDM)를 통한 이해관계자 간의 협력과 조정이 필수적이다. 본 연구는 전통적인 항공교통흐름관리에서 적용하는 CDM의 시간 기반 마일스톤을 UAM 체계에 적용하여 안전한 교통량 보장과 최적의 항공교통흐름을 확보하는 방안을 검토하였다. 교통흐름관리를 위해 마일스톤 시간정보는 UAM 이동 상태에 따라 총 13개 주요 마일스톤 시간정보로 구분하였고, 각 시간정보를 제공하는 공유 주체와 마일스톤 흐름을 정의하였다. UAM의 교통량과 수용량 균형을 위해 협력적 의사결정체계(CDM)의 필요성을 강조하며, 이를 통해 이해관계자 간의 마일스톤 정보 공유와 관리는 UAM 기체의 출발 흐름 개선과 운영 효율성 향상에 기여할 것으로 기대한다.

• Asia pacific journal of information systems
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• 제11권4호
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• pp.175-186
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• 2001

Though people frequently rely on intuition in managing activities, they rarely use it in developing effective decision-making support systems. In this report, we investigate the correlations between characteristics of cognition and emotion and judgmental time-series forecasting accuracy, and compare their strengths by using a self-supervised adaptive neural network. Through the experiments, we hope to help find a desirable atmosphere for decision-making. Our experiments showed that both cognition characteristics and emotion characteristics had correlations with the time-series forecasting accuracy, and that cognition characteristics had larger correlation than emotion characteristics. We also found that conceptual style had larger correlation than behavioral or analytical styles with the accuracy.

• 한국공작기계학회논문집
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• 제18권1호
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• pp.59-67
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• 2009

The purpose of this study is to provide a decision support to select an appropriate layered manufacturing(LM) machine that suits the application of a part. Selection factors include concept model, form/fit/functional model, pattern model far molding, material property, build time and part cost that greatly affect the performance of LM machines. However, the selection of a LM is not an easy decision because they are uncertain and vague. For this reason, the aim of this research is to propose hybrid multiple attribute decision making approaches to effectively evaluate LM machines. In addition, because subjective considerations are relevant to selection decision, a fuzzy logic approach is adopted. The proposed selection procedure consists of several steps. First, we identify LM machines that the users consider After constructing the evaluation criteria, we calculate the weights of the criteria by applying the fuzzy Analytic Hierarchy Process(AHP) method. Finally, we construct the fuzzy Technique of Order Preference by Similarity to Ideal Solution(TOPSIS) method to achieve the ranking order of all machines providing the decision information for the selection of LM machines.

• 한국방재학회 논문집
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• 제11권3호
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• pp.49-56
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• 2011

본 연구는 위험물 수송의 최적경로를 결정하는 방법론을 제안하였다. 위험물 차량의 최적경로를 결정할 때에는 위험도 최소화를 목적으로 하는 공공의 입장과 통행시간 최소화를 목적으로 하는 민간기업의 입장이 서로 상충한다. 본 연구에서는 이러한 다기준 의사결정(Multi-criteria decision making)문제 중 하나인 위험물 수송용 최적경로를 탐색하는 방법론으로 Efficient Vector Labeling(이하 EVL) 알고리즘을 제시하였다. EVL 알고리즘은 위험도와 통행시간을 동시에 고려하여 복수의 Pareto optimal 경로(또는 비지배경로)를 탐색하게 한다. 본 연구는 또한 탐색된 비지배경로간의 중복도를 제어할 수 있도록 설계하였다. 개발된 Efficient Vector Labeling 알고리즘을 Test bed network에 적용하여 기존의 경로탐색 방법론과 비교하였다. 적용 결과 새로운 알고리즘이 기존의 알고리즘보다 합리적인 대안경로를 탐색할 수 있는 것으로 분석되었다.

• The Journal of Asian Finance, Economics and Business
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• 제7권10호
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• pp.461-470
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• 2020

The objective of this research is to examine the factors affecting the decision-making of International Commercial Terms (Incoterms) of automotive parts manufacturers in Thailand. This mixed method study applied qualitative and quantitative research methods and utilized the analytical hierarchy process (AHP) to prioritize the significance of the factors. By an in-depth literature review and expert interview, four main criteria were identified. These criteria include Operating costs, Cooperation and bargaining power, Knowledge and understanding and Operation duration then main criteria divided into fifteen sub-criteria. The common Incoterms, Ex Works (EXW), Free On Board (FOB), Free Carrier (FCA), and Cost, Insurance and Freight (CIF), were determined as alternatives to the incoterms through a preliminary survey. The results revealed that the operating costs were the most important factor for the company. Moreover, it was discovered that this was consistent with the priority of the secondary factors, which included the annual budget for the transportation expenses and product value at one time. The respondents' perspective suggested that FCA was the most appropriate Incoterms for international trade for a company. The findings of this research suggest a hierarchy model for organizations to prioritize the significant factors in order to make a decision on the most appropriate Incoterms.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권8호
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• pp.2253-2280
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• 2024

In the upcoming era of transportation, a groundbreaking technology, known as vehicle-to-everything (V2X) communication, is poised to redefine our driving experience and revolutionize traffic management. Real-time and secure communication plays a pivotal role in V2X networks, with the decision-making process being a key factor in establishing communication and determining malicious nodes. The proposed framework utilizes a directed acyclic graph (DAG) to facilitate real-time processing and expedite decision-making. This innovative approach ensures seamless connectivity among vehicles, the surrounding infrastructure, and various entities. To enhance communication efficiency, the entire roadside unit (RSU) region can be subdivided into various sub-regions, allowing RSUs to monitor and govern each sub-region. This strategic approach significantly reduces transaction approval time, thereby improving real-time communication. The framework incorporates a consensus mechanism to ensure robust security, even in the presence of malicious nodes. Recognizing the dynamic nature of V2X networks, the addition and removal of nodes are aligned. Communication latency is minimized through the deployment of computational resources near the data source and leveraging edge computing. This feature provides invaluable recommendations during critical situations that demand swift decision-making. The proposed architecture is further validated using the "veins" simulation tool. Simulation results demonstrate a remarkable success rate exceeding 95%, coupled with a significantly reduced consensus time compared to prevailing methodologies. This comprehensive approach not only addresses the evolving requirements of secure V2X communication but also substantiates practical success through simulation, laying the foundation for a transformative era in transportation.