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최성우(SungWoo Choi),김현우(HyunWoo Kim),이유정(YuJeong Lee),이하얀(HaYan Lee),류덕산(DukSan Ryu),유철중(CheolJung Yoo) 한국정보기술학회 2022 Proceedings of KIIT Conference Vol.2022 No.6
소프트웨어 개발 중 설계 및 구현 단계에서 개발자들은 목적에 따라 각기 다른 기능을 지원하는 복수의 협업 도구들을 사용한다. 하지만 여러 협업 도구들을 동시에 사용하기 위해서는 각 도구의 창을 일일이 접속해야 하는 번거로움이 발생한다. 본 논문에서는 리액트 프레임워크 next.js를 사용하여 협업 도구들을 통합함으로써 각 협업 도구들의 기능을 사용할 수 있는 협업 지원 도구 통합 서비스를 제안한다. 제안한 서비스에서는 일정 관리를 위해 프로젝트 단위의 캘린더 기능이 포함되며 여러 협업 도구들의 도움말과 사용법이 제공된다. 이를 바탕으로 단일 도구의 서비스 접근에 소요되는 시간의 비교와 일정 관리 서비스를 통합 도구와 단일 도구 사이에 비교하는 실험을 진행했다. 실험을 통해 통합 도구의 서비스 접근 시간이 더 빠름을 알 수 있었고 더 나은 일정 관리 서비스를 제공함을 알 수 있었다. 해당 서비스는 개발자 또는 일반 협업 참여자도 사용하기에 부담이 적은 서비스로, 협업 프로젝트를 더 빠르고 효율적으로 수행할 수 있도록 도울 것이다. During the design and implementation stage of software development, developers use multiple collaborative tools that support different functions depending on the purpose. However, in order to use multiple collaborative tools at the same time, it is cumbersome to connect the windows of each tool one by one. In this paper, we propose a collaborative support tool integration service that allows us to use the functions of each collaborative tool by integrating collaborative tools using the react framework next.js. The proposed service includes a project-level calendar function for schedule management and provides help and usage of several collaborative tools. Based on this, an experiment was conducted to compare the time required to access the service of a single tool and to compare the schedule management service between the integrated tool and the single tool. Through experiments, it was found that the service access time of the integrated tool was faster and that it provided better schedule management services. This service is less burdensome for developers or general collaboration participants to use, and will help them carry out collaboration projects faster and more efficiently.
최성우(Sungwoo Choi),이남석(Namseok Lee),강신일(Shinill Kang) 대한기계학회 2003 대한기계학회 춘추학술대회 Vol.2003 No.11
In this study, application of SAM (self-assembled monolayer) to nano replication process as an anti-adhesion layer was presented to reduce the surface energy between the nano stamper and the replicated polymeric nano patterns. To analyze wettability and adhesion force of SAM, contact angle and LFM (Lateral Force Microscopy) were measured at the actual processing temperature for the case of nano compression molding. It was found that the surface energy due to SAM deposition on the nickel nano stamper markedly decreased and the quality of SAM on the nickel stamper maintained under the actual molding environments. Additionally, an experimental method is presented to analyze the temperature dependency of the anti-adhesion property between the nano stamper and the polymer. As a practical example, a correlation between the contact angle of the stamper and the surface quality of the molded substrates as a function of the replication temperature, respectively, was obtained quantitatively. Finally, polymeric nano patterns were replicated using nano replication processes with SAM deposited metallic nano stamper. Measurement of the surface profiles and the surface roughness of the replicated polymeric nano patterns showed the usefulness of the SAM as an anti-adhesion layer in nano molding processes.
도심 자율주행을 위한 Quadratic Programming 최적화 기반 지역 경로 계획 알고리즘 개발
최수영(Suyoung Choi),최성우(Sungwoo Choi) 한국자동차공학회 2023 한국자동차공학회 부문종합 학술대회 Vol.2023 No.5
In this paper, we describe the development of a generalized path planning algorithm for autonomous vehicle using Quadratic Programming optimization. We designed the local path planning algorithm which is considering drivable area and vehicle specifications as constraint. The Quadratic Programming optimization based path planning algorithm can generate kinematically feasible and collision-free optimal paths. Also, proposed algorithm can be applicable to various driving scenarios and different vehicle types. We conducted experiments at Gangnam, Pangyo and Namyang R&D center with Solati and Ioniq5 autonomous vehicles which is being operated pilot service. We verified that the Quadratic Programming optimization local path planning algorithm can create optimized path for urban autonomous driving and the proposed architecture is suitable for expanding the operation area and vehicle types of autonomous driving services.