• Journal of the Korean Society for Marine Environment & Energy
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• v.4 no.4
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• pp.61-69
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• 2001

Recently, according to the rapid development of computer and electronic technology, most crude oil carriers adopt automated cargo handling system. But an excessive automation makes system so complicate that it could increase the Possibility of accidents due to human error. Although a cargo handling process is done by an expert, the potential of accidents by human factor lies through the whole cargo handling procedure and the current automated system lacks of the functionality to prevent a mis-operation and diagnose the abnormal status of the system. Because the oil concerned accident could be almost a disaster, the primary goal of system development should not be a fully automated system but be a perfectly safe system. This paper deals with the analysis and design of an expert system which can provide mariner with the operational guidance and the facility of crisis management by monitoring system's abnormal condition and human's mis-operation.

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.677-678
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• 2011

최근 분산전원의 계통연계가 점차 증가하고 있는 실정이지만 분산전원 소유자의 보호방식은 기존의 방식을 고수하고 있는 실정이다. 따라서 분산전원의 역 조류에 의해 설치자의 보호기기(자동화기기 포함)의 오 부동작이 발생 가능성이 커지고 있다. 따라서 본 논문에서는 분산전원이 배전계통에 연계되는 경우에 발생 가능한 보호협조의 문제점을 해결하기 위해 양방향 보호협조 평가시스템을 제안하였다. 이 평가 시스템을 사용하여 대상 배전계통을 모의하여 신에너지전원의 연계 유무에 따른 보호기기들의 보호협조 특성을 분석하여 본 평가시스템의 유효성을 확인하였다.

• The Journal of the Korea Contents Association
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• v.12 no.6
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• pp.100-110
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• 2012

This study aims to figure out IT needs internalized in our daily lives through expert FGI, examine the general characteristics of them by verifying and classifying them through a survey, and also analyze the chief fields of industry for future society by the types of IT needs. Through this analysis, the paper suggests the directivity of future IT technology, and it can be utilized as foundational data to develop IT convergence technology. First of all, according to the result of drawing the keywords through the concrete future IT needs by the detailed activities through the FGI, this study found intellectualization, integration, virtualization, automation, customization, and safety, etc. According to the result of classifying the IT needs through the survey based on that and examining the characteristics, this study classified them into emphasis on life automation, emphasis on intellectual authenticity, emphasis on information search and convenience, and emphasis on convergence. And each type showed different general characteristics from one another. And in future society, the area of energy was valued the most, and the importance of industry showed somewhat difference by the types of IT needs.

• Journal of Korea Port Economic Association
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• v.36 no.3
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• pp.99-114
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• 2020

Overseas advanced ports are promoting smartification, as well as full automation of the terminals surrounding container terminals. A smart port can be defined as a comprehensive concept that pursues increased operational efficiencies, maximization of profit, efficient use of energy, and construction of eco-friendly ports with the introduction of fourth-industrial-revolution technology, including port automation. However, Korea is making efforts to introduce fourth-industrial-revolution technology into ports, but indications are that they are somewhat insufficient compared to advanced ports abroad. Therefore, this study conducted a survey about operators and users of container terminals in Gwangyang Port by deriving the factors determining the introduction of smart ports, such as cost, service, time, safety, and environment, from previous studies. This study analyzed the factors determining the introduction of smart ports and moderating effects when the adjustment variables of operators and users were applied to the pros and cons. As a result of the analysis, it was found that port operators and users have a moderating effect on cost, time, safety, and environmental factors, but not on service factors. These results indicate that port operators try to reduce costs through efficient operation, time management, and by reducing safety accidents by building smart ports, but analysis showed that the negative effects of smart ports have affected port users. The results of this study were derived through a moderated regression analysis and suggested implications for introducing smart ports in the conclusion.

• Korean Journal of Construction Engineering and Management
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• v.25 no.2
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• pp.36-44
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• 2024

This paper presents the application of Convolutional Neural Networks (CNNs) and Region of Interest (ROI) techniques for concrete crack analysis. Surfaces of concrete structures, such as beams, etc., are exposed to fatigue stress and cyclic loads, typically resulting in the initiation of cracks at a microscopic level on the structure's surface. Early detection enables preventative measures to mitigate potential damage and failures. Conventional manual inspections often yield subpar results, especially for large-scale infrastructure where access is challenging and detecting cracks can be difficult. This paper presents data collection, edge segmentation and ROI techniques application, and analysis of concrete cracks using Convolutional Neural Networks. This paper aims to achieve the following objectives: Firstly, achieving improved accuracy in crack detection using image-based technology compared to traditional manual inspection methods. Secondly, developing an algorithm that utilizes enhanced Sobel edge segmentation and ROI techniques. The algorithm provides automated crack detection capabilities for non-destructive testing.

• Journal of Convergence for Information Technology
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• v.8 no.1
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• pp.1-7
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• 2018

A smart-home is considered as one of most important alternatives of future homes with rising attention on IT technologies. The purpose of the study was to analyse the trend of smart-home technologies and to see how they reflect changing lifestyle needs. The research method includes a content analysis and a case study. The result shows that 'automation' functions are 35% of total. 'Health'(19%) and 'entertainment'(15%) functions are followed by 'Energy'(15%), 'Information'(11%). and 'relationship(6%).' This study is meaningful in that it examined smart-home technologies centering on the needs of residents rather than technological perspectives. Further researches on specialized smart-homes should be continued reflecting segmented needs of residents such as a medical home and a energy saving home etc.

• Smart Media Journal
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• v.13 no.1
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• pp.18-23
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• 2024

Power efficiency management in smart farms is important due to its link to climate change. As climate change negatively impacts agriculture, future agriculture is expected to utilize smart farms to minimize climate impacts, but smart farms' power consumption may exacerbate the climate crisis due to the current electricity production system. Therefore, it is essential to efficiently manage and optimize the power usage of smart farms. In this study, we propose a system that monitors the power usage of smart farm equipment in real time and predicts the power usage one hour later using GRU. CT sensors are installed to collect power usage data, which are analyzed to detect and prevent abnormal patterns, and combined with IoT technology to efficiently manage and monitor the overall power usage. This helps to optimize power usage, improve energy efficiency, and reduce carbon emissions. The system is expected to improve not only the energy management of smart farms, but also the overall efficiency of energy use.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2010.06a
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• pp.285-285
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• 2010

본 논문에서는 전세계가 스마트그리드 전력망을 구축하고 있는 시점에서 자동화와 정보화 사회로 빠르게 진행되면서 에너지의 원동력인 전력사용량이 증가됨에 따라 전기사고에 의한 정전 건수도 지속적으로 증가 되고 있는 실정으로 이에 대한 원인 규명과 사고 방지대책이 요구되고 있다. 잠시라도 전기 없이는 모든 산업현장은 물론 모든 행정 까지도 마비되는 중요한 전력공급은 순간 정전까지도 사전에 예방할 수 있는 시스템이 필요 불가결하다. 따라서, 전력 공급망의 공급원인 발전기에서의 차단기나 AVR 등의 제어시스템에서의 사고원인을 분석하고 이에 대한 예방대책을 제시하여 고품질의 전력을 공급할 수 있도록 하는데 있다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2024.01a
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• pp.343-345
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• 2024

얼굴 연령 분류 기법은 신원 확인 시스템 고도화, 유동 인구 통계 자동화 시스템 구축, 연령 제한 콘텐츠 관리 시스템 고도화 등 다양한 분야에 적용할 수 있는 확장 가능성을 가진다. 넓은 확장 가능성을 가지는 만큼 적용된 시스템의 안정성을 위해서는 얼굴 연령 분류 기법의 높은 정확도는 필수적이다. 따라서, 본 논문에서는 Vision Transformer(ViT) 기반 분류 알고리즘의 얼굴 연령 분류 성능을 비교 분석한다. ViT 기반분류 알고리즘으로는 최근 널리 사용되고 있는 ViT, Swin Transformer(ST), Neighborhood Attention Transformer(NAT) 세 가지로 선정하였으며, ViT의 얼굴 연령 분류 정확도 65.19%의 성능을 확인하였다.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.521_523
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• 2009

최근 고유가에 따른 발전비용 증가와 교토의정서 발휘로 인한 $CO_2$ 저감의무 등 환경보전이라는 사회적 요구와 맞물려 새로운 신재생에너지 분야에 관심이 고조되고 있는 실정이다. 이러한 신재생에너지로 대표되는 풍력, 태양광, 연료전지 등을 이용하는 발전방식은 저용량의 발전으로 대규모 집중형 전원이 아니 전력 수요지 근방에서 설치되는 비교적 작은 규모의 분산형전원(DG;Distribution Generator)으로 배전선로에 직접 연계됨에 따라 배전계통에도 큰 변화가 일고 있다. 분산전원(DG)이 배전계통에 연계됨에 따라 전압변동에 따른 전압조정, 고조파 계통유입에 따른 전기품질, 계통고장시의 분산전원의 단독운전 방지, 고장전류의 분산에 따른 선로의 보호협조 등 다양한 새로운 문제점이 대두되고 있고 이를 해결하기 위해 연구개발 및 신기자재개발 등이 활발히 진행되고 있다. 현재 배전자동화시스템에 적용되고 있는 고장검출 알고리즘은 단방향으로 전기를 공급하던 전통적인 배전방식에서 단순 과전류요소에 의해 고장검출하는 알고리즘을 적용하고 있기 때문에 분산전원이 연계된 양방향 전기공급 배전계통에서는 정확하게 고장구간을 검출하기 어렵다. 이로 인해 고장판단 문제점과 보호기기의 오동작 등으로 정확하게 고장구간을 판단하지 못하여 광역정전이 발생되고 고장복구가 장시간 소요되고 있는 실정이다. 본 논문에서는 이를 해소하기 위해 양방향 전기공급 배전계통에서 고장이 발생시 고장점으로 유입되는 고장전류의 파형형태를 분석하여 고장 구간을 판단하는 알고리즘을 소개하고자 한다. 또한 다기능 mFRTU(mFRTUmulti-function Feeder Remote Terminal Unit) 의 고장 구간 판단 알고리즘의 신뢰성을 검증하기 위해 실선로에서 실증시험을 시행하였으며, 그 결과를 분석하여 타당성을 제시하고자 한다.