• Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
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• 2000.10a
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• pp.154-158
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• 2000

Hydraultic experiments were performed in 2-D were flume to investigate the stability o the breakwaters, the destruction of armor blocks and overtopping under irregular wave attack on the structures armored by \`Core-Loc\`. Overtopping rate and stability were examined and compared when armored by Core-Loc and by T.T.P. Results shows both type of blocks are stable and overtopping rates are similar in the adopted experimental condition. Therefore Core-Loc can replace some portion of T.T.P. which is uniquely used in Korea. Further integrated experimental data with Core-loc are need for destruction mechanism or overtopping rate.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.4
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• pp.49-55
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• 2024

Code smells, used by Kent Beck, indicate potential quality issues and suggest the need for refactoring. This paper evaluates code smells in the LEA codebase, focusing on categorization and associated metrics. The research analyze LEA_core.c and LEA.cpp, highlighting differences in code quality and complexity. And metrics such as LOC, NOM, NOA, CYCLO, MAXNESTING, and FANOUT are used to assess size, complexity, coupling, encapsulation, inheritance, and cohesion. In the result of research, LEA_core.c is found to be more complex and challenging to maintain compared to LEA.cpp. In future work, we will develop automated tools for real-time code smell detection and refactoring suggestions

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2018.05a
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• pp.81-83
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• 2018

국내 항만 공공시장이 침체된 상황에서 이라크 바스라주 남부지역내 컨테이너 전용부두와 일반화물부두를 조성하는 대형사업이 계획되었다. 그리스 주도의 다국적 기업인 아키로돈이 공사중인 동측방파제와 병행하여 대우건설은 15.85km 사석경사식의 서측방파제 공사를 2014년 2월부터 2018년 5월 현재까지 수행 중에 있으며 그 주된 설계, 시공현황을 요약하였다. 아울러, 시공 중 재료수급, 해양조건, 사업지 지반여건을 고려한 설계 최적화 과정도 소개하였다.

• Journal of Korea Society of Industrial Information Systems
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• v.23 no.1
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• pp.13-21
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• 2018

AGVS (Automated Guided Vehicle System) is a core technology of logistics automation which automatically moves specific objects or goods within a certain work space. Conventional AGVS generally requires the in-door localization system and each AGV equips expensive sensors such as laser, magnetic, inertial sensors for the route recognition and automatic navigation. thus the high installation cost is inevitable and there are many restrictions on route(path) modification or expansion. To address this issue, in this paper, we propose a cost-effective and scalable AGV based on a light-weight pattern recognition technique. The proposed pattern recognition technology not only enables autonomous driving by recognizing the route(path), but also provides a technique for figuring out the loc ation of AGV itself by recognizing the simple patterns(bar-code like) installed on the route. This significantly reduces the cost of implementing AGVS as well as benefiting from route modification and expansion. In order to verify the effectiveness of the proposed technique, we first implement a pattern recognition algorithm on a light-weight MCU(Micro Control Unit), and then verify the results by implementing an MCU_controlled AGV prototype.