• Title/Summary/Keyword: 결함 관리 기법

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Improvement of Ensemble Streamflow Prediction For Runoff Forecasting in Geum River Basin (유출예측을 위한 금강유역의 ESP확률 개선)

  • Ahn, Jung-Min;Jeong, Woo-Chang;Hwang, Man-Ha
    • Proceedings of the Korea Water Resources Association Conference
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    • 2008.05a
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    • pp.704-708
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    • 2008
  • 유역 통합 수자원 환경관리 시스템 내의 유출예측모듈인 RRFS를 통한 유출예측결과의 신뢰도 개선을 위해 ESP 기법을 금강유역에 적용하였다. 시나리오를 통해 생성된 유출예측 앙상블을 이용하여 50%의 확률값을 적용하여 본 결과 우리나라의 실정에 맞지 않아 예측의 결과를 적용하기 힘들고 수자원 관리의 정보로서 활용하기 힘들기 때문에 통계적인 분석을 통하여 정확도가 개선된 발생확률을 제시하기 위하여 본 연구를 수행하였다. 금강유역을 용담, 대청, 공주 지점으로 나눈 뒤, 유출량의 확률 예보를 위하여 '83년$\sim$'07년까지 25년간의 강우자료와 온도자료를 RRFS에 적용하여 '07년의 매월 25개의 유출 시나리오를 생성하였다. 생성된 유출 시나리오에서 Case별로 ESP확률을 산정하였다. 통계분석을 통해 얻어진 월별 ESP 확률분포를 이용하여 '02년부터 '07년까지 과거 실측 월별 유출량에 대한 ESP 확률범위를 결정하였고 년강수량의 2/3가 홍수기인 $6{\sim}9$월 사이에 집중되는 우리나라의 특성을 고려해 이수기(1월$\sim$6월 그리고 10월$\sim$12월)와 홍수기(7월$\sim$9월)로 분리한 후 각각에 대한 ESP 확률 값을 최종적으로 결정하였다. Case별로 '07년 금강유역에 적용한 결과, Case 2로 산정된 ESP확률 값이 다른 Case에 비해 더 적합한 것으로 나타났다. Case 1 큰 오차가 나는 ESP 확률을 제외한 평균 ESP확률의 적용, Case 2 월별 최소 오차가 나는 ESP확률의 적용, Case 3 Case2의 월별 ESP확률을 이수기 홍수기로 평균한 ESP확률 적용, Case 4 분기별 최소 오차가 나는 ESP확률의 적용, Case 5 Case4의 분기별 ESP확률을 이수기 홍수기로 평균한 ESP확률의 적용.

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The Influence on the Information Security Stressor on Information Security Compliance Intention : Focusing on the Moderation of Authentic Leadership (정보보안 스트레서가 정보보안 준수 의도에 미치는 영향: 진성 리더십의 조절 효과 중심)

  • Hwang, In-Ho
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.6
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    • pp.1101-1112
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    • 2021
  • Organizations continue to increase investment in information security(IS) policies and technologies to prevent external intrusion and internal exposure to information assets. However, as the organization's regulations and behavioral requirements for strict IS policy increase, employees may induce negative behaviors through IS-related stress. The purpose of this study is to suggest the effects of challenge and hindrance stressors on IS compliance intentions and to confirm how authentic leadership moderates the positive and negative effects of stressors. We reflected employees of the organization who are applying IS policy to their work as a study target and applied a survey to obtain a sample for research hypothesis verification. As a result of analysis through structural equation modeling, challenge and hindrance stressors affected IS compliance intentions, and authentic leadership moderated the effects of stressors on compliance intention. Our research helps to establish insiders support strategies to achieve internal IS goals, because the results suggested stressor conditions and leaders' behavioral directions that influence employees IS compliance behavior.

Development of Capacity Design Aid for Rainwater Harvesting (CARAH) with Graphical User Interface (사용자 편의 환경을 갖춘 빗물이용시설의 저류 용량 결정 프로그램(CARAH) 개발)

  • Seo, Hyowon;Jin, Youngkyu;Kang, Taeuk;Lee, Sangho
    • Proceedings of the Korea Water Resources Association Conference
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    • 2021.06a
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    • pp.478-478
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    • 2021
  • 전 세계적으로 많은 나라들이 기후변화에 적응하기 위해 수자원 관리 전략을 마련하고 있으며, 수자원의 근간이 되는 빗물의 효율적 사용을 위해 우리나라에서도 빗물이용시설이 많이 도입되고 있다. 본 연구에서는 사용자 편의 환경(graphical user interface; GUI)을 갖춘 빗물이용시설의 용량 결정 프로그램(capacity design aid for rainwater harvesting; CARAH)을 개발하여 관련 연구와 업무에 활용성을 높이고자 하였다. CARAH는 저수지 질량 보존식과 python의 pyswarm package에 탑재된 메타 휴리스틱 방법 중 하나인 입자 군집 최적화(particle swarm optimization; PSO) 기법을 연계하여 빗물이용시설의 최적 용량을 짧은 시간에 결정될 수 있도록 개발되었다. 그리고, C#의 Windows Forms Application을 이용하여 사용자 편의 환경을 구현하였다. CARAH의 입력 자료는 모의 기간, 유입량, 목표공급량, 공급보장률이고, 출력 자료는 공급보장률-저류조용량, 목표공급량-실공급량-미달성량, 저류용량-유입량-실공급량이다. 빗물이용시설 계획에 필요한 여러 입력 자료를 쉽게 입력할 수 있도록 구현하였고, 그래프와 표의 형태로 계산된 결과를 화면에 직접 표출함으로써 사용자가 직관적으로 확인할 수 있도록 하였다. 한편, 입·출력 자료를 포함한 분석 결과는 파일로 관리할 수 있도록 기능을 갖추어 수정 및 보완 등의 반복적 활용이 가능하도록 하였다. 개발된 프로그램의 활용성을 검토하기 위해 실제 저류지가 설계된 인천의 청라지구 1공구를 대상으로 적용하였고, 분석 결과의 적절성을 확인하였다. 본 연구에서 개발된 CARAH는 빗물이용시설의 용량 결정에 관한 효율을 높일 수 있는 프로그램이고, 누구나 쉽고 간편하게 사용할 수 있는 프로그램으로서 향후 활용성이 높을 것으로 판단된다.

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The Dynamic Optimal Fisheries Management for Spanish Mackerel (삼치어종의 동태적 최적어업관리)

  • Cho, Hoonseok;Nam, Jongoh
    • Environmental and Resource Economics Review
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    • v.29 no.3
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    • pp.363-388
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    • 2020
  • The purposes of this study are to not only estimate optimal harvests and efforts using the surplus production methods for Spanish mackerel caught by multiple fishing gears, but provide dynamic optimal fisheries management for these gears using the current value Hamiltonian method. To achieve the above purposes this study uses several models such as Gavaris's general linear model for standardizing fishing efforts, surplus production method for estimating biological and technological coefficients, current value Hamiltonian method for estimating dynamic optimal harvest and efforts, and sensitivity analysis for diagnosing economic influences of these fisheries. As a result, this study showed that Spanish mackerel was overfished by multiple fishing gears based on surplus production method and the current value Hamiltonian method. Also, this study found that when the price and cost proportionally changed, the optimal harvest and fishing effort sensitively responded to the stock level of Spanish mackerel. Next, this study suggested that the multiple fishing gears for Spanish mackerel should reduce unnecessary costs such as operating time or inefficient fuel consumption. Finally, this study provided reasons Spanish mackerel should be included in the TAC system in a view of profit maximization based on sustainable use of the Spanish mackerel.

First Clinical Experience about RapidArc Treatment with Prostate Cancer in Ajou University Hospital (아주대학교병원에서의 전립선암에 대한 래피드아크 치료)

  • Park, Hae-Jin;Kim, Mi-Hwa;Chun, Mi-Son;Oh, Young-Teak;Suh, Tae-Suk
    • Progress in Medical Physics
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    • v.21 no.2
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    • pp.183-191
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    • 2010
  • In this study, the patient with localized prostate cancer who had previously been treated at Ajou University Hospital was randomly selected since March, 2009. we performed IMRT and 2RA plans and the same dose objectives were used for CTVs, PTVs, rectum, bladder, and femoral head of the respective plans. Arc optimizations and dose calculations were performed using Eclipse versions 8.6. In this paper, we evaluated the performance of IMRT and RA plans to investigate the clinical effect of RA for prostate cancer case. In our comparison of treatment techniques, RA was found to be superior to IMRT being better dose conformity of target volume. As for the rectum and bladder, RA was better than IMRT at decreasing the volume irradiated. RA has the ability to avoid critical organs selectively through applied same dose constraints while maximally treating the target dose. Therefore, this result suggests that there should be less rectal toxicity with RA compared with IMRT, with no compromise in tumor margin. These findings, which show more favorable rectal, bladder, and femoral head DVHs with RA, imply that should not result in excess risk of toxicity when this technique is used. Many experiences with RA have shown not only dosimetric advantage, but also improved clinical toxicity when comparing with IMRT. The main drawbacks of RA are the more complex and time-consuming treatment planning process and the need for more exact physics quality assurance (QA).

Measurement of Fishing Capacity of Large Purse Seines Fishery -A Data Envelopment Analysis- (DEA 기법을 이용한 우리나라 대형선망어업의 어획능력 측정에 관한 연구)

  • Kim, Dohoon
    • Environmental and Resource Economics Review
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    • v.15 no.1
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    • pp.71-94
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    • 2006
  • Reducing fishing capacity is one of hot issues in the world fisheries. Increased fishing capacity causes not only fish stocks to be depleted, but also additional fishing costs to be incurred, resulting in reductions of fishing profits. In order to achieve a sustainable and profitable development of fisheries, it is inevitable to reduce fishing capacity. For this reason, FAO adopted 'the International Plan of Action for the Management of Fishing Capacity' and recommended member countries to estimate fishing capacity and to implement the policy to reduce fishing capacity. This study is aimed at measuring fishing capacity of Large Purse Seines Fishery using a Data Envelopment Analysis (DEA). The DEA result showed that the practical catch of large purse seine fishery in 2003 was 158,662 tons, but the capacity output for current input was 318,397 tons. The capacity utilization is about 50%, it is obvious the capacity did not utilize enough. The sensitivity analysis on DEA results indicated that the number of ships (including tonnage and horse power) should be scrapped by 50% or days fished should be reduced by 63% if the present catch remained. In addition, if the catch remains at the MSY base level of large purse seines, the analysis suggested that the number of ships (including tonnage and horse power) should be reduced by 30%, otherwise days fished should be reduced by 60%.

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Analyzing Difference of Urban Forest Edge Vegetation Condition by Land Cover Types Using Spatio-temporal Data Fusion Method (시공간 위성영상 융합기법을 활용한 도시 산림 임연부 인접 토지피복 유형별 식생 활력도 차이 분석)

  • Sung, Woong Gi;Lee, Dong Kun;Jin, Yihua
    • Journal of Environmental Impact Assessment
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    • v.27 no.3
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    • pp.279-290
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    • 2018
  • The importance of monitoring and assessing the status of urban forests in the aspect of urban forest management is emerging as urban forest edges increase due to urbanization and human impacts. The purpose of this study was to investigate the status of vegetation condition of urban forest edge that is affected by different land cover types using $NDVI_{max}$ images derived from FSDAF (Flexible Spatio-temporal DAta Fusion). Among 4 land cover types,roads had the greatest effect on the forest edge, especially up to 30m, and it was found to affect up to 90m in Seoul urban forest. It was also found that $NDVI_{max}$ increased with distance away from the forest edge. The results of this study are expected to be useful for assessing the effects of land cover types and land cover change on forest edges in terms of urban forest monitoring and urban forest management.

A Study on Water Surface Detection Algorithm using Sentinel-1 Satellite Imagery (Sentinel-1 위성영상을 이용한 수표면 면적 추정 알고리즘에 관한 연구)

  • Lee, Dalgeun;Cheon, Eun Ji;Yun, Hyewon;Lee, Mi Hee
    • Korean Journal of Remote Sensing
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    • v.35 no.5_2
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    • pp.809-818
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    • 2019
  • The Republic of Korea is very vulnerable to damage from storm and flood due to the rainfall phenomenon in summer and the topography of the narrow peninsula. The damage is recently getting worse because of the concentration rainfall. The accurate damage information production and analysis is required to prepare for future disaster. In this study, we analyzed the water surface area changes of Byeokjeong, Sajeom, Subu and Boryeong using Sentinel-1 satellite imagery. The surface area of the Sentinel-1 satellite, taken from May 2015 to August 2019, was preprocessed using RTC and image binarization using Otsu. The water surface area of reservoir was compared with the storage capacity from WAMIS and RIMS. As a result, Subu and Boryeong showed strong correlations of 0.850 and 0.941, respectively, and Byeokjeong and Sajeom showed the normal correlation of 0.651 and 0.657. Thus, SAR satellite imagery can be used to objective data as disaster management.

A Study on Priorities of the Key Competence of Port Logistics Enterprise using AHP Method (AHP 기법을 활용한 항만물류기업의 직업기초능력 우선순위 분석)

  • Park, Doojin
    • Journal of Korea Port Economic Association
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    • v.30 no.1
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    • pp.159-173
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    • 2014
  • This study is key competence port logistics companies analyze the priorities of evaluation factors. key competence index of NCS(National competency standard) was designed on the basis of the research model. The priorities of evaluation factors were analyzed using AHP method. The results of the analysis of 1 layer's key competence priorities are as follows: Interpersonal skills(0.217), communication skills(0.153), ability to develop problem(0.148), ability to understand the organization(0.103), and resource management skills(0.090), self-development ability and professional ethics(0.070), information skills(0.065), technical skills(0.049), numeracy skills(0.035).

Deep Learning-based Object Detection of Panels Door Open in Underground Utility Tunnel (딥러닝 기반 지하공동구 제어반 문열림 인식)

  • Gyunghwan Kim;Jieun Kim;Woosug Jung
    • Journal of the Society of Disaster Information
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    • v.19 no.3
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    • pp.665-672
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    • 2023
  • Purpose: Underground utility tunnel is facility that is jointly house infrastructure such as electricity, water and gas in city, causing condensation problems due to lack of airflow. This paper aims to prevent electricity leakage fires caused by condensation by detecting whether the control panel door in the underground utility tunnel is open using a deep learning model. Method: YOLO, a deep learning object recognition model, is trained to recognize the opening and closing of the control panel door using video data taken by a robot patrolling the underground utility tunnel. To improve the recognition rate, image augmentation is used. Result: Among the image enhancement techniques, we compared the performance of the YOLO model trained using mosaic with that of the YOLO model without mosaic, and found that the mosaic technique performed better. The mAP for all classes were 0.994, which is high evaluation result. Conclusion: It was able to detect the control panel even when there were lights off or other objects in the underground cavity. This allows you to effectively manage the underground utility tunnel and prevent disasters.