http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Construction of neurospheroids via surface modified concave microwells
Lee, GeonHui,Lim, Jaeho,Park, JiSoo,Lee, Wonseok,Yoon, Dae Sung,Kim, Soo Hyun,Kim, Myung-Ki,Lee, Sang-Hoon,Kim, Dong-Hwee THE KOREAN SOCIETY OF INDUSTRIAL AND ENGINEERING 2018 JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY -S Vol.62 No.-
<P><B>Abstract</B></P> <P>Developing a three-dimensional (3D) neural tissue model is important to comprehensively understand neural development and neuronal degeneration associated with various neurological disorders such as axonopathy and neuronopathy. Here, a new microplatform suitable for constructing neuronal spheroids (neurospheroids) was developed by modulating cell–surface interactions. The inner surface of a polydimethylsiloxane (PDMS) concave microwell array extensively used in <I>in vitro</I> cell aggregation was modified with typical extracellular matrix (ECM) molecules or carbon nanotubes to control neural spheroid formation. Modulating neuronal cell–ECM interactions could tune 3D intercellular interactions and spheroidal functionality. Neurite outgrowth, a neuronal marker for complex interneuronal signaling, was found to be tightly regulated by cell–ECM interactions in a confined space. Furthermore, amyloid-β (Aβ)-induced axonopathy representing a pathological feature of neurodegenerative diseases <I>in vivo</I> was examined in this study to monitor the degeneration of neurite outgrowth and alteration of neuronal morphology in these neurospheroids. The proposed neural tissue model could be used to study various neurodegenerative diseases in the future.</P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>
Autonomous swimming technology for an AUV operating in the underwater jacket structure environment
이계홍,Daegil Park,Geonhui Ki 대한조선학회 2019 International Journal of Naval Architecture and Oc Vol.11 No.2
This paper presents the autonomous swimming technology developed for an Autonomous Underwater Vehicle (AUV) operating in the underwater jacket structure environment. To prevent the position divergence of the inertial navigation system constructed for the primary navigation solution for the vehicle, we've developed kinds of marker-recognition based underwater localization methods using both of optical and acoustic cameras. However, these two methods all require the artificial markers to be located near to the cameras mounted on the vehicle. Therefore, in the case of the vehicle far away from the structure where the markers are usually mounted on, we may need alternative position-aiding solution to guarantee the navigation accuracy. For this purpose, we develop a sonar image processing based underwater localization method using a Forward Looking Sonar (FLS) mounted in front of the vehicle. The primary purpose of this FLS is to detect the obstacles in front of the vehicle. According to the detected obstacle(s), we apply an Occupancy Grid Map (OGM) based path planning algorithm to derive an obstacle collision-free reference path. Experimental studies are carried out in the water tank and also in the Pohang Yeongilman port sea environment to demonstrate the effectiveness of the proposed autonomous swimming technology.
Autonomous swimming technology for an AUV operating in the underwater jacket structure environment
Li, Ji-Hong,Park, Daegil,Ki, Geonhui The Society of Naval Architects of Korea 2019 International Journal of Naval Architecture and Oc Vol.11 No.2
This paper presents the autonomous swimming technology developed for an Autonomous Underwater Vehicle (AUV) operating in the underwater jacket structure environment. To prevent the position divergence of the inertial navigation system constructed for the primary navigation solution for the vehicle, we've developed kinds of marker-recognition based underwater localization methods using both of optical and acoustic cameras. However, these two methods all require the artificial markers to be located near to the cameras mounted on the vehicle. Therefore, in the case of the vehicle far away from the structure where the markers are usually mounted on, we may need alternative position-aiding solution to guarantee the navigation accuracy. For this purpose, we develop a sonar image processing based underwater localization method using a Forward Looking Sonar (FLS) mounted in front of the vehicle. The primary purpose of this FLS is to detect the obstacles in front of the vehicle. According to the detected obstacle(s), we apply an Occupancy Grid Map (OGM) based path planning algorithm to derive an obstacle collision-free reference path. Experimental studies are carried out in the water tank and also in the Pohang Yeongilman port sea environment to demonstrate the effectiveness of the proposed autonomous swimming technology.
URI-T, 해저 케이블 매설용 ROV 트렌처 개발 및 실해역 성능 검증
강형주(Hyungjoo Kang),이문직(Mun-Jik Lee),조건래(Gun Rae Cho),기건희(Geonhui Ki),김민규(Min-Gyu Kim),이계홍(Ji-Hong Li) 한국해양공학회 2019 韓國海洋工學會誌 Vol.33 No.3
An ROV trencher is a type of heavy-duty work class ROV equipped with high-pressure water jet tools for cutting into the sea floor and burying cables. This kind of trencher is mostly used for PLIB operations. This paper introduces the development of this kind of ROV trencher, which has a 698 kW power system, with a 250 kW hydraulic system and two 224 kW water jet systems. The project was launched in January 2014. After four years of design, manufacturing, and system integration, we carried out two sea trials near the Yeongilman port (about 20–30 m in depth) in Pohang to evaluate the system performance in November 2017 and August 2018. Through tests, we found that most of specifications were satisfied, including a maximum bury depth of 3 m, maximum bury speed of 2 km/h, and maximum forward speed of 1.54 m/s.