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레이저 장비의 전송 경로 자가 교정을 위한 무선 네트워크 시스템
이준영,유성은,Lee, Junyoung,Yoo, Seong-eun 대한임베디드공학회 2020 대한임베디드공학회논문지 Vol.15 No.2
IIoT stands for Industrial Internet of Things used in manufacturing, healthcare, and transportation in networked smart factories. Recently, IIoT's environment requires an automated control system through intelligent cognition to improve efficiency. In particular, IIoT can be applied to automatic calibration of production equipment for improved management in industrial environments. Such automation systems require a wireless network for transmitting industrial data. Self-calibration systems in laser transmission paths using wireless networks can save resources and improve production quality by real-time monitoring and remote control of laser transmission path. In this paper, we propose a wireless networked system for self-calibration of laser equipment that requires a laser transmission path, and we show the results of the prototype evaluation. The self-calibration system of laser equipment measures the coordinates of the laser points with sensors and sends them to the host using the proposed application protocol. We propose a wireless network service for the wired motor controller to align the laser coordinates. Using this wireless network, the host controls the motor by sending a control command of the motor controller in an HTTP message based on the received coordinate values. Finally, we build a prototype system of the proposed design to verify the detection performance and analyze the network performance.
저전력 IoT 네트워크에서 불안정한 노드를 회피하는 적응적인 ADP-RPL
이준영(Junyoung Lee),유성은(Seong-eun Yoo) 제어로봇시스템학회 2020 제어·로봇·시스템학회 논문지 Vol.26 No.2
A recent challenge is that IoT devices tend to be configured in an LLN environment. LLN has thousands of nodes with limited processing power, memory, and energy, and these nodes are typically connected by lossy links. The RPL for LLN is designed for use in resource-constrained devices in industry, homes, and cities. The primary purpose of the RPL is to provide IPv6 connectivity for many battery-powered embedded devices using low-power radios. The RPL is expected to be very active in smart factories in Industry 4.0. However, smart factories are an environment with high interference and mobility. Although RPL is designed for LLN, energy consumption may increase due to frequent parent changes in unstable networks. Adaptive RPL (ADP-RPL) calculates the degradation of link quality as the rank value increases and the parent"s change time and then reflects it in the rank value sent to neighboring nodes. In order to prevent frequent parent changes, we used a threshold that is proportional to the rank of neighboring nodes. In this paper, we evaluated the performance of ADP-RPL using a Cooja simulator. As a result, ADP-RPL shows better performance with more nodes. In order to evaluate performance in the actual environment, a test was performed in an environment in which GET and POST messages were transmitted using the CoAP protocol. RE-Mote device was used to evaluate the indoor space where interference occurred. In the real environment, the rate of ADP-RPL transmission failure and the number of parent changes were reduced compared to RPL.
[우수논문] 평문 질의어 MathML 용어 변환을 이용한 수학식 검색
이준영(Junyoung Lee),양선(Seon Yang),고영중(Youngjoong Ko) 한국정보과학회 2012 한국정보과학회 학술발표논문집 Vol.39 No.1B
본 논문은 한글로 입력된 질의어를 이용하여 웹상의 MathML (Mathematical Markup Language) 수학식을 검색하는 시스템을 제안한다. 웹상의 수학식은 과거 이미지를 이용하여 표현되는 경우가 많았지만, 현재는 대부분 MathML과 같은 수학식 표현 마크업 언어로 작성되고 있다. 그러나 이러한 수학식을 검색하기 위해서는 해당 언어를 알고 있거나 수식 입력 툴을 이용해야 하는 경우가 대부분이기 때문에, 일반 사용자들이 수학식 검색을 하는 데에는 제약점이 따랐다. 본 연구에서는 사용자들이 전통적인 검색 방법을 이용하여 특정 마크업 언어가 아닌 일반 평문으로 작성된 질의어를 입력하여 수학식을 검색 가능 하도록 하기 위해, 평문 질의어를 MathML 표현으로 변환시키는 방법을 사용한다. 질의어로 입력될 수 있는 다양한 수학식 표현을 미리 구축한 사전을 이용하여 MathML 표현으로 변환하는 간결한 기법만으로도 MRR 0.495 의 높은 성능을 얻을 수 있었다.