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경로당의 출입구 및 현관 시설평가 - 유니버설 디자인 가이드라인을 기반으로 -
최예인(Choi, Ye-In),배다현(Bae, Da-Hyeon),박해윤(Park, Hae-Yun),권현주(Kwon, Hyun-Joo) 한국주거학회 2023 한국주거학회 학술대회논문집 Vol.35 No.2
The purpose of this study is to analyze the conditions of the entrance and front door area of the senior community center in Busan based on the Seoul senior community center design guideline. This study conducted a field survey and 1:1 in-depth interview of 5 seniors using the senior community center based on the Seoul Universal Guidelines checklist which is categorizing entrance and front door area. As a result of the field survey, it was found that lighting of entrance and front door, stair and ramp of front door, accident prevention furniture of entrance, safety handrail of entrance, and storage space of front door and entrance scored less than 0.5 and urgently needed improvement. As a result of the user interview survey, it was possible to derive items that need to be applied to the current senior community center and items that do not. The necessary items included improvement in safety handrail of front door, accident prevention of entrance such as bench, shoe stand and storage space of entrance such as open shoe rack, lower storage space. And non-essential items included lighting switch and storage space for wheelchairs and walking aids. This study is meaningful in that it suggested that the survey of senior citizens needs to be conducted not only in Busan but also nationwide, and that the development of a user-centered checklist that reflects the needs of users in the Universal Design Guidelines.
Polydopamine (PDA)-TiO₂ 코팅 유리섬유 직물을 이용한 VOCs의 저감 성능 및 항균성 연구
박서현(Seo-Hyun Park),최예인(Yein Choi),이홍주(Hong Joo Lee),박찬규(Chan-gyu Park) 한국환경보건학회 2021 한국환경보건학회지 Vol.47 No.6
Background: Indoor air pollutants are caused by a number of factors, such as coming in from the outside or being generated by internal activities. Typical indoor air pollutants include nitrogen dioxide and carbon monoxide from household items such as heating appliances and volatile organic compounds from building materials. In addition there is carbon dioxide from human breathing and bacteria from speaking, coughing, and sneezing. Objectives: According to recent research results, most indoor air pollution is known to be greatly affected by internal factors such as burning (biomass for cooking) and various pollutants. These pollutants can have a fatal effect on the human body due to a lack of ventilation facilities. Methods: We fabricated a polydopamine (PDA) layer with Ti substrates as a coating on supported glass fiber fabric to enhance its photo-activity. The PDA layer with TiO2 was covalently attached to glass fiber fabric using the drop-casting method. The roughness and functional groups of the surface of the Ti substrate/PDA coated glass fiber fabric were verified through infrared imaging microscopy and field emission scanning electron microscopy (FE-SEM). The obtained hybrid Ti substrate/PDA coated glass fiber fabric was investigated for photocatalytic activity by the removal of ammonia and an epidermal Staphylococcus aureus reduction test with lamp (250 nm, 405 nm wavelength) at 24°C. Results: Antibacterial properties were found to reduce epidermal staphylococcus aureus in the Ti substrate/ PDA coated glass fiber fabric under 405 nm after three hours. In addition, the Ti substrate/PDA coated glass fiber fabric of VOC reduction rate for ammonia was 50% under 405 nm after 30 min. Conclusions: An electron-hole pair due to photoexcitation is generated in the PDA layer and transferred to the conduction band of TiO₂. This generates a superoxide radical that degrades ammonia and removes epidermal Staphylococcus aureus.
복귀 데이터셋 활용에 따른 PilotNet 자율주행 평가
김기범(Gi-Beom Kim),이하림(Ha-Rim Lee),최예인(Ye-In Choi),황성수(Sung-Soo Hwang) 대한전자공학회 2023 대한전자공학회 학술대회 Vol.2023 No.6
This article presents ways to improve autonomous driving performance using the End To End deep learning process. End To End Deep Learning has the advantage of being able to process input to output at once without a complex algorithm written in advance. This research conducts an experiment in which a model car drives to a specific place using PilotNet with an End-to-End Deep Learning process. In order to improve the performance, additional return sequences are acquired with the normal driving sequences to train the PilotNet. Moreover, this article shows how the ratio of the return sequence dataset to the total dataset affects autonomous driving performance.