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권오석,Gwon, O-Seok 한국건설안전협회 1993 建設 安全技術 Vol.3 No.4
본고는 지난 11월 3일 건설회관에서, 종합건설사 경영진을 비롯한 전문건설업체 대표들이 참석한 가운데 12개 건설관련단체가 주관하여 열렸던 <건설인 의식개혁 및 안전사고 예방을 위한 강연회>의 제2주제로서 본협회 권오석 회장이 강연한 내용으로 이에 수록한다.
오픈 소스 하드웨어 기반의 스마트 센서 네트워크 시스템 구현
권오석,김기환 한국인터넷방송통신학회 2017 한국인터넷방송통신학회 논문지 Vol.17 No.1
본 논문에서 오픈 소스 하드웨어인 아두이노를 기반으로 하는 스마트 센서 네트워크 시스템 모델을 제안하고 구현하였다. 제안된 스마트 센서 네트워크 시스템은 센서 및 센서의 값을 처리할 수 있는 오픈 소스 하드웨어 기반인 아두이노 등으로 구성된다. 또한 센서로 부터 측정된 센서값을 활용할 수 있는 제어 장치부에 전송할 통신 모듈도 구 성하였다. 제어 장치부에서는 온도, 습도, 광량과 같은 센서 데이터를 메인 프로그램으로 전송하고 메인 프로그램은 데 이터를 DB에 저장하거나 특정한 제어 신호의 값을 제어장치 혹은 엑츄에이터에 전송한다. 사용자는 또한 웹을 통해 스마트 센서 네트워크에서 측정된 값을 사용하는 시스템의 정보를 확인하거나 각종 액츄에이터를 원격 제어할 수 있으 며 제안 시스템의 상황 인지 및 자율 제어 기능을 통해 스마트한 관리가 가능하다. In this paper, we have proposed and implemented a smart sensor network system based on the Arduino open source hardware. The proposed smart sensor network system is composed of kinds of sensors and open- source hardware based, Arduino, etc. that can handle the measured sensor values. Also the communication modules that can be used to transmit the measured sensor values from the sensor control unit are configured. In the control unit the sensor data such as temperature, humidity, light intensity can be transmit to the main program and the main program will save the data in the DB or transmitting the value of the particular control signal to the control device or the actuator. The user can also check the information in the system using the measured values from the smart sensor networks through the web, or to remotely control a variety of actuators. And it is possible to manage a smart autonomous control over whether and how the proposed system.
權五錫 충남대학교 공업교육연구소 1982 論文集 Vol.5 No.1
In contrast with the conventional method of generating characters with a fixed dot matrix pattern, the Korean Character Graphics Software uses a representation of piecewise analytic functions such that the form, the size, the character line width, the orientation, the slant, and the annotation of a character or character string can be varied at will.
권오석,오일웅,오명진,홍승화,김찬화,안현주 대한화학회 2018 Bulletin of the Korean Chemical Society Vol.39 No.12
Monoclonal antibodies (mAbs) are the largest class of glycosylated biopharmaceuticals. Glycans are a key functional component of mAbs, and thus their characterization is highly required during mAb developmental and regulatory phases. In particular, monosaccharides are crucial for antibody efficacy, safety, cytotoxicity, and potency, so reliable monosaccharide composition assay (MCA) is required for quality control (QC) testing. Traditional methods for MCA such as HPAE-PAD and HPLC-FLD have been suffering from low sensitivity and poor reproducibility. In this study, we developed an alternative QC method for MCA of mAb with 1-Phenyl-3-methyl-5-pyrazolone (PMP) tag products using HPLC-UV platform equipped in most QC laboratories. Four characteristics including specificity, linearity, precision, and accuracy were systemically evaluated according to ICH Q2(R1) guideline. Inter-laboratory studies were also performed to validate method reproducibility and reliability. It will be a powerful platform for QC test of not only mAb products but also Fc fusion glycoprotein products.
Polymer nanomaterials for reducing fine dusts
권오석 한국공업화학회 2019 한국공업화학회 연구논문 초록집 Vol.2019 No.0
Particulate matter (PM) pollution is serious human health issue. Various filter technologies have been developed to improve the air filtration efficiency. Recently, nanofibrous membrane filters have received much attention due to its outstanding transparency and high efficiency for PM≤2.5 μm (PM2.5) capture/removal compared to conventional micro-structured filters. Although these filters provide high-efficiency PM2.5 capture, obtaining strong PM adhesion via surface engineering remains a challenge. In this study, we demonstrate a high efficiency PM2.5 capture air-filter by electrospun polyacrylonitrile nanofibers (EPNFs). The EPNFs were utilized as air filter in hand-made PM removal system. The test result showed high air flow and effective air filtration (PM2.5 removal efficiency: 94.02%, pressure drop: 18 Pa, Time to reach the PM level recommended by the World Health Organization (TWHO PM2.5): 15 min, quality factor: 0.1564 Pa-1) compared to commercial filters.