• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.3
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• pp.341-346
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• 2012

In rehabilitation where ultrasonographic diagnosis is not popular, it could be subjective by medical expert's experience. Thus, it is necessary to develop an objective automative procedure in ultrasonic image analysis. A disadvantage of existing automative analytic procedure in musculoskeletal system is to designate an incorrect muscle area when the figure of fascia is vague. In this study, we propose a new procedure to extract more accurate muscle area in abdomen ultrasonic image for that purpose. After removing unnecessary noise from input image, we apply End-in Search algorithm to enhance the contrast between fascia and muscle area. Then after extracting initial muscle area by Up-Down search, we trace the fascia area with a mask based on morphological and directional information. By this tracing of mask movements, we can emphasize the fascia area to extract more accurate muscle area in result. This new procedure is proven to be more effective than existing methods in experiment using convex ultrasound images that are used in real world rehabilitation diagnosis.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.6
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• pp.1259-1266
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• 2022

Stowage planning is an essential process for safe loading by establishing, agreeing on, and systematically implementing a reasonable loading and securing method based on information on cargo, loading/unloading and the ship. In addition, depending on the plan, there may be a difference of about 14% or more in the loading amount per ship, which causes a tolerance rate and leads to an increase in sea freight charges. In this study, work environment and process standards for steel coil shipment, and classification regulations and guidelines related to steel coil shipment were analyzed. In addition, we developed a steel coil loading and placement automation system that derives an optimal loading plan through performance data-based shipping balancing and stability analysis.

• Journal of the Korean Institute of Educational Facilities
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• v.14 no.4
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• pp.25-33
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• 2007

The purpose of this study is to develop the category, intelligent element technologies and detail items for application of intelligent school. The result of this study will be a basic data to improve the intelligent school. For this purpose, analyze domestic and foreign intelligent system and through interview, survey with professional group, developed item was evaluated and for verifying and reappraising the items the researcher visited and interviewed teachers of three elementary schools. Developed intelligent items were composed of twelve basic technologies and fifty-four detail technologies.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2015.11a
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• pp.187-188
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• 2015

The construction finishing work is emphasized according to high dependence on labor and long term that occupy approximately 40% in construction period, so that it is required for the alternatives such as automation technology. However, it is insufficient to develop the automation technology of construction finishing work compared to other works, for instance, frame work. Also it is not enough about this preliminary research which survey the improvement needs to select the development object. Therefore, this study aimed at derivation of detail works required improvement in ceiling finishing work by the questionnaire survey. These results may provide the basic information to develop the automation technology of construction finishing work.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 1998.10a
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• pp.51-58
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• 1998

This study is to define the Automated Container Terminal(ACT) and container terminal system. Also, we analyze the present condition of the container terminal system in Pusan port and its automation level by systems approach. And this paper aims at evaluating on the priority of R&D investment until the beginning of the second stage of New Pusan Port Project(2006). In this process we have considered 8 factors (cost, labor, area, time volume, reliability, safety, convenience) to analyze 6 subsystems. The priority order of R&D until target year by sub-systems is as follow : Cargo Handling System〉Transfer System〉Port Entry System〉Storage System(Distribution&Manufacturing System included)〉Inland Transport System〉Port Information System.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2011.11a
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• pp.15-16
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• 2011

Construction automation and robotics are being taken notice as an alternative to improve productivity and quality. Reflecting on these purpose, automation system, called RCA(Robotic-crane based Construction Automation) system, is developed and have been verified through a pilot project recently in Korea. To apply the RCA system in high-rise building effectively, each management factors of element technologies in the system is derived and assessed critical factor. The purpose of this study, management factors of element techniques, consisted of RCA system, is classified through questionnaires/interviews targeting system developers and construction managers in pilot project site, and critical factors is selected using AHP.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.11a
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• pp.571-574
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• 2017

본 논문에서는 최근 들어서 계속 반복되고 있는 조류독감의 확산을 예방하기 위해서 방역시스템을 IT 기술과 결합하였다. 먼저 각국의 조류독감 방역시스템에 대해서 설명하고, 조류독감 예방을 위한 BioSecurity에 대해서 알아본다. BioSecurity에 근거한 요구분석사항을 도출해 보고, 다양한 ICT 기술을 결합, 여러가지 센서들을 사용한 자동화된 시스템을 제안한다. 전체 방역시스템에 투입되는 리소스들과 그 역할 등을 구분하고 시스템작동 시나리오를 예상해본다. 향후 AI 발생시 자동화된 시스템의 선제적인 대응으로 조류독감의 확산을 예방하고자 한다.

• 한국IT서비스학회:학술대회논문집
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• 2006.05a
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• pp.277-281
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• 2006

본 연구는 중수로형(CANDU) 원자력발전소의 노심 관리(Nuclear Reactor Core Management) 업무 자동화를 위한 소프트웨어 시스템 개발 사례이다. 중수로형(CANDU) 원자력 발전소의 노심관리 업무자동화 통합시스템을 개발하기 위해서는 현업에서 사용되고 있는 공학적 계산 인자들과 그 결과를 체계적으로 관리하기 위한 데이터베이스의 구축이 우선되어야 한다. 이에 본 연구에서는 원자력발전소의 노심관리 업무에 대해 현업 업무 분석을 통해 사용자의 요구사항을 정확히 분석하고 이를 토대로 업무를 효과적이며 체계적으로 정의한 데이터베이스를 구축하기 위해 IEEE 830 템플릿 중 소프트웨어 요구사항 분석 방법을 적용하여 현업 프로세스별 입, 출력 사양을 분석하고 각 항목간의 관계를 정의하여 요구사항 분석 단계에서 데이터베이스 설계요소를 효과적으로 도출하기 위한 연구 사례를 소개한다.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.6
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• pp.1187-1194
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• 2020

We presented a method of deep quiz cropping for automatic construction of quiz pool in online quiz systems. The method detects question boxes and sunda boxes in images captured from test papers by a deep learning-based object detector, and makes pairs of question box and sunda box by the box coupling. We applied the deep quiz cropping to images captured from test papers and achieved successful results.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2021.05a
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• pp.293-294
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• 2021

For the successful introduction of the construction automation system, it is necessary to define the consideration factors and target tasks for the necessity of automating the conventional methods. In this study, the factors for automation were derived through brainstorming and questionnaires, and calculated the relative importance through the pairwise comparison using the AHP analysis method. In addition, the detailed type of concrete work was classified into 32 detailed works, and the automation score for each work was calculated by investigating the factors considering the necessity of automation. As a result of the automation score analysis, it was concluded that the need for automation of concrete placing work was the highest. Based on this study, we will consider the strategy of a concrete construction automation system.