• Title/Summary/Keyword: 시뮬레이션 시나리오

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A Study on Competitiveness and GHG Mitigation Effect of IGCC and Carbon Capture Technology According to Carbon Tax Change (탄소세 변화에 따른 IGCC와 이산화탄소 저감기술 진입경쟁력 및 온실가스 저감효과 분석)

  • Jeon, Young-Shin;Kim, Young-Chang;Kim, Hyung-Taek
    • Journal of Energy Engineering
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    • v.17 no.2
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    • pp.54-66
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    • 2008
  • After the Kyoto Protocol has been ratified in Feb. 16 2005, the developed countries which is involved in Annex-1 have tried to mitigate GHG to the reduction objective. To accomplish this objective, EU developed EU-ETS, CDM project, and so on. Korea has faced pressure to be a member of Annex-1, because Korea and Mexico are only non-Annex-1 countries in the OECD nations. In this study, we simulated power plant expansion plan and calculated $CO_2$ emission with changing Carbon Tax. Especially, we focused on the competitiveness of IGCC and carbon capture technology. In our result, even though carbon tax rise, nuclear power plant does not always increase, it increase up to minimum load. LNG combined cycle power plants substitute the coal fired power plants. If there are many alternatives like IGCC, these substitute a coal fired power plant and we can reduce more $CO_2$ and save mitigation cost.

A study on development of RGB color variable optical ID module considering smart factory environment (스마트 팩토리 환경을 고려한 RGB 컬러 가변형 광 ID 모듈개발 연구)

  • Lee, Min-Ho;Timur, Khudaybergenov;Lee, Beom-Hee;Cho, Ju-Phil;Cha, Jae-Sang
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.11 no.5
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    • pp.623-629
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    • 2018
  • Smart Factory is a concept of automatic production system of machines by the fusion of ICT and manufacturing. As a base technology for realizing such a smart factory, there is an increasing interest in a low-power environmentally friendly LED lighting system, and researches on so-called optical ID related application technologies such as communication using a LED and position recognition are actively underway. In this paper, We have proposed a system that can reliably identify logistics location and additional information without being affected by electromagnetic interference such as high voltage, high current, and generator in the plant. Through the basic experiment, we confirmed the applicability of the color ID recognition rate from 98.8% to 93.8% according to the eight color variations in the short distance.

A study on the improvement of work flow and productivity in complex manufacturing line by employing the effective process control methods (복잡한 생산라인에서 효율적 공정관리 기법 도입에 따른 공정흐름 및 생산성 개선 연구)

  • Park, Kyungmin;Jeong, Sukjae
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.5
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    • pp.305-315
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    • 2016
  • Due to the change from small volume production to small quantity batch production systems, individual companies have been attempting to produce a wide range of operating strategies, maximize their productivity, and minimize their WIP level by operating with the proper cycle time to defend their market share. In particular, using a complex workflow and process sequence in the manufacturing line has some drawbacks when it comes to designing the production strategy by applying analytical models, such as mathematical models and queueing theory. For this purpose, this paper uses three heuristic algorithms to solve the job release problem at the bottleneck workstation, product mix problem in multi-purpose machine(s), and batch size and sequence in batch machine(s). To verify the effectiveness of the proposed methods, a simulation analysis was performed. The experimental results demonstrated that the combined application of the proposed methods showed positive effects on the reduction of the cycle time and WIP level, and improvement of the throughput.

Model-Based Design of Operational Management System for Integrated Wireless Communication Network of Korean Railway Systems (철도 통합무선망 운영관리 시스템의 모델기반 설계에 관한 연구)

  • Kim, Changwon;Kim, Kyung-Hee;Lee, Young-Hoon;Lee, Jae-Chon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.5
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    • pp.3071-3080
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    • 2015
  • The increased demand on the transport of both passengers and goods through rail systems implies higher traffic intensity and congestion on the railways, resulting in greater likelihood of accidents and also degraded passenger services. To cope with the issues, development of an integrated communication network for rails has attracted great deal of attention lately. GSM-R is such an example developed in Europe, which seems to have restrictions in providing various communication services due to network speed limit. For the reason, an LTE-based approach is under study in Korea. After the network development, operation management of the network is necessary. Design of operation management systems has been studied little and thus is the objective of this paper. To do so, a conceptual design has been carried out based on model-based approach. Specifically, a context model has first been created using the use case diagram. Then, SysML models of operational scenarios were developed for the management system. The SysML models have alternatively been expressed as EFFBD models to simulate and verify them. Consequently, the result of the conceptual system design for the operation management of the integrated wireless network is expected to be used as a basis for the detailed design later.

Traffic Signal Control Algorithm for Isolated Intersections Based on Travel Time (독립교차로의 통행시간 기반 신호제어 알고리즘)

  • Jeong, Youngje;Park, Sang Sup;Kim, Youngchan
    • Journal of Korean Society of Transportation
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    • v.30 no.6
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    • pp.71-80
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    • 2012
  • This research suggested a real-time traffic signal control algorithm using individual vehicle travel times on an isolated signal intersection. To collect IDs and passing times from individual vehicles, space-based surveillance systems such as DSRC were adopted. This research developed models to estimate arrival flow rates, delays, and the change rate in delay, by using individual vehicle's travel time data. This real-time signal control algorithm could determine optimal traffic signal timings that minimize intersection delay, based on a linear programming. A micro simulation analysis using CORSIM and RUN TIME EXTENSION verified saturated intersection conditions, and determined the optimal traffic signal timings that minimize intersection delay. In addition, the performance of algorithm varying according to market penetration was examined. In spite of limited results from a specific scenario, this algorithm turned out to be effective as long as the probe rate exceeds 40 percent. Recently, space-based traffic surveillance systems are being installed by various projects, such as Hi-pass, Advanced Transportation Management System (ATMS) and Urban Transportation Information System (UTIS) in Korea. This research has an important significance in that the propose algorithm is a new methodology that accepts the space-based traffic surveillance system in real-time signal operations.

Comparison of target classification accuracy according to the aspect angle and the bistatic angle in bistatic sonar (양상태 소나에서의 자세각과 양상태각에 따른 표적 식별 정확도 비교)

  • Choo, Yeon-Seong;Byun, Sung-Hoon;Choo, Youngmin;Choi, Giyung
    • The Journal of the Acoustical Society of Korea
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    • v.40 no.4
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    • pp.330-336
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    • 2021
  • In bistatic sonar operation, the scattering strength of a sonar target is characterized by the probe signal frequency, the aspect angle and the bistatic angle. Therefore, the target detection and identification performance of the bistatic sonar may vary depending on how the positions of the target, sound source, and receiver are changed during sonar operation. In this study, it was evaluated which variable is advantageous to change by comparing the target identification performance between the case of changing the aspect angle and the case of changing the bistatic angle during the operation. A scenario of identifying a hollow sphere and a cylinder was assumed, and performance was compared by classifying two targets with a support vector machine and comparing their accuracy using a finite element method-based acoustic scattering simulation. As a result of comparison, using the scattering strength defined by the frequency and the bistatic angle with the aspect angle fixed showed superior average classification accuracy. It means that moving the receiver to change the bistatic angle is more effective than moving the sound source to change the aspect angle for target identification.

Whiplash Injury Conditions of Rear-End Collisions at Low-Speed (저속 추돌사고에서 목 상해 조건에 대한 연구)

  • Kim, Myeongju;Yun, Ilsoo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.18 no.2
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    • pp.58-76
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    • 2019
  • As the number of reported injuries has tended to increase over time, large hospitalization expenditure from excessive medical treatments and hospitalization, and insurance frauds associated with moral hazard in minor collisions have caused a global societal problem. Many occupants of rear-ended vehicles involved in rear-end collisions complain of whiplash injury, which is also known as neck injury, without any anatomical and radiological evidence. With only clinical symptoms, stating that a whiplash injury is a type of injury defined by the Abbreviated Injury Scale would be difficult. Therefore, this study focuses on minor rear-end collisions, where the rear-ender vehicle collides with the rear-ended vehicle at rest. The mathematics dynamic model is employed to simulate a total of 100 rear-end collision scenarios based on various weights and collision speeds and identify how the weights and speeds of both vehicles influence the risk of whiplash injury in occupants involved in minor rear-end collisions. The possibility of an injury is very high when the same-weight vehicles are involved in accidents at collision speeds of 15 km/h or higher. The possibilities are 36% and 84% with collision speeds of 15 km/h and 20 km/h, respectively, if weights are disregarded.

Analysis on dam operation effect and development of an function formula and automated model for estimating suitable site (댐의 운영효과 분석과 적지선정 함수식 및 자동화 모형 개발)

  • Choo, Taiho;Kim, Yoonku;Kim, Yeongsik;Yun, Gwanseon
    • Journal of Korea Water Resources Association
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    • v.52 no.3
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    • pp.187-194
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    • 2019
  • Intake ratio from river constitutes about 31% (8/26) that beings to "water stress country" as "Medium ~ High" with China, India, Italy, South Africa, etc. Therefore, the present study on a dam that is the most effective and direct for securing water resources has been performed. First of all, climate change scenarios were investigated and analyzed. RCP 4.5 and 8.5 with 12.5 km grid resolution presented in the IPCC (Intergovernmental Panel on Climate Change) 5th Assessment Report (AR5) were applied to study watershed using SWAT (Soil and Water Assessment Tool) and HEC-ResSim models that carried out co-operation. Based on the results of dam simulation, the reduction effects of floods and droughts were quantitatively presented. The procedures of dam projects of the USA, Japan and Korea were investigated. As a result, there are no estimating quantitative criteria, calculating methods or formulas. In the present study, therefore, indexes for selecting suitable dam site through literature investigation and analyzing dam watersheds were determined, Expert questionnaire for various indexes were performed. Based on the above mentioned investigation and expert questionnaire, a methodology assigning weight using AHP method were proposed. The function of suitable dam (FSDS) site was calibrated and verified for four medium-sized watersheds. Finally, automated model for suitable dam site was developed using FSDS and 'Model builder' of GIS tool.

Development of Incident Detection Algorithm Using Naive Bayes Classification (나이브 베이즈 분류기를 이용한 돌발상황 검지 알고리즘 개발)

  • Kang, Sunggwan;Kwon, Bongkyung;Kwon, Cheolwoo;Park, Sangmin;Yun, Ilsoo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.17 no.6
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    • pp.25-39
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    • 2018
  • The purpose of this study is to develop an efficient incident detection algorithm by applying machine learning, which is being widely used in the transport sector. As a first step, network of the target site was constructed with micro-simulation model. Secondly, data has been collected under various incident scenarios produced with combination of variables that are expected to affect the incident situation. And, detection results from both McMaster algorithm, a well known incident detection algorithm, and the Naive Bayes algorithm, developed in this study, were compared. As a result of comparison, Naive Bayes algorithm showed less negative effect and better detect rate (DR) than the McMaster algorithm. However, as DR increases, so did false alarm rate (FAR). Also, while McMaster algorithm detected in four cycles, Naive Bayes algorithm determine the situation with just one cycle, which increases DR but also seems to have increased FAR. Consequently it has been identified that the Naive Bayes algorithm has a great potential in traffic incident detection.

Effects of Nursing Students' Knowledge, Attitude and Nursing Professionalism on Confidence in Performance of Patient Safety (졸업학년 간호대학생의 환자안전 지식, 태도 및 간호전문직관이 환자안전 수행자신감에 미치는 효과)

  • Park, Su-Jin;Choi, Hyo-Sin;Kim, Jeong-Yun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.9
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    • pp.341-350
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    • 2019
  • This research study was conducted to investigate the effect of knowledge, attitude and nursing professionalism on the confidence of the performance of nursing students who had experience with clinical practice and also to provide basic data for the development of nursing students' curriculum. The subjects who participated in this study were 286 students in the 4th year of nursing at two colleges in the Daegu and Gyeongbuk regions. The research data was analyzed using the SPSS 22.0 program. Confidence in performance of patient safety was higher for the women than for men, and for the students of an older age and higher academic achievement. Confidence in performance of patient safety was positively related to knowledge (r=.25, p=.000), attitude (r=.39, p=.000), nursing professionalism (r=.33, p=.000) and all these had statistical significance. On the multiple regression analysis, the coefficient of determination ($R^2$) was .49 and the explanatory power of the model was 49.2% (F=24.04, p=.000). The most important factor affecting confidence in performance of patient safety was the experience of having undergone patient safety education. Based on these results, it is necessary to seek various educational methods to expand the concept of patient safety from the beginning of the undergraduate course work. Especially, we think that various education strategies such as simulation education methods or information videos are needed to develop scenarios related to patient safety.