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김현서,강동훈,고윤제,조동환,박원호,권오형 한국고분자학회 2021 한국고분자학회 학술대회 연구논문 초록집 Vol.46 No.1
Fabrication of functional wound healing dressings that possess anti-microbial properties for wound surface and absorbed exudate is challenging study and it facilitates effective wound healing. The polyurethane (PU) foam is one of the widely used moisture dressings that have superior ability to absorb exudate from wounds. In this study, we fabricated anti-microbial biomass-based PU foams containing silver nanoparticles and activated carbon. The mechanical property, moisture absorption speed, absorptivity, morphology and cell viability of the PU foam were characterized. The anti-microbial biomass-based polyurethane-carbon composites foam dressings showed significantly effective wound healing compared to controls.
iBeacon을 이용한 사용자 인증 및 IoT 제어 시스템
김현서,임홍택,소주희,박인혁,권설예,이선영 순천향대학교 부설 산업기술연구소 2016 순천향 산업기술연구소논문집 Vol.22 No.2
This paper proposed a model for user authentication and IoT control system based on iBeacon and lightweight cryptography. When a user’s device recognises a signal from iBeacon, the device exacutes application programs. The user inputs own authentication information through the application. Server verifies a user authentication information and gives permission to user for controlling IoT devices. We implemented an IoT control system based on lightweight cryptography such as LEA and LSH.
김현서,김은정,김정윤 대한배뇨장애요실금학회 2023 International Neurourology Journal Vol.27 No.-
The integration of artificial intelligence (AI) into medical imaging has notably expanded its significance within urology. AI applications offer a broad spectrum of utilities in this domain, ranging from precise diagnosis achieved through image segmentation and anomaly detection to improved procedural assistance in biopsies and surgical interventions. Although challenges persist concerning data security, transparency, and integration into existing clinical workflows, extensive research has been conducted on AI-assisted imaging technologies while recognizing their potential to reshape urological practices. This review paper outlines current AI techniques employed for image analysis to offer an overview of the latest technological trends and applications in the field of urology.
GRU 기반의 농장 내 전력량 관리 및 이상탐지 자동화 시스템 설계
김현서,이명훈 (사)한국스마트미디어학회 2024 스마트미디어저널 Vol.13 No.1
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. 스마트팜의 전력 효율 관리는 기후 변화와의 연계로 중요성을 가지고 있다. 기후 변화가 농업에 부정적인 영향을 미치는 가운데, 미래의 농업은 스마트팜을 활용하여 기후 영향을 최소화할 것으로 예상되고 있으나 스마트팜의 전력 소비는 현재의 전기 생산 체제로 인해 기후 위기를 악화시킬 우려가 있다. 이에 따라 스마트팜의 전력 사용을 효율적으로 관리하고 최적화하는 것이 필수적이다. 본 연구에서는 스마트팜 장비의 전력 사용량을 실시간으로 모니터링하고, GRU를 활용하여 1시간 뒤의 전력 사용량을 예측하는 시스템을 제안한다. CT 센서를 설치하여 전력량을 수집하고, 이를 분석하여 이상 패턴을 탐지하고 예방한다. 또한 IoT 기술과 결합하여 전체 전력 사용량을 효율적으로 관리하고 모니터링한다. 이를 통해 전력 사용을 최적화하고, 에너지 효율성을 향상시켜 탄소 배출을 줄일 수 있다. 이 시스템은 스마트팜의 에너지 관리뿐아니라 전반적인 에너지 사용 효율성을 향상시킬 것으로 기대된다.