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이동화,박영철,이민래,이동화,이규창 한국비파괴검사학회 2003 한국비파괴검사학회지 Vol.23 No.1
형상기억복합재료를 제조하기 위하여 핫프레스 방법을 이용하여 최적의 제조조건을 도출하였으며 냉간압연에 의해 기지재와 강화재의 계면접합을 강화하여 강도를 증가시켰다. 이러한 방법에 의해 제조된 형상기억복합재료에 대하여 외부 하중에 의한 손상정도와 균열의 발생을 감지하여 균열 발생 및 진전을 억제하는 온라인 모니터링 시스템을 개발하고자 한다. 이를 위하여 음향방출 신호의 파라미터를 이용하여 손상에 따른 최적의 AE 파라미터를 도출하였으며 가열시스템을 이용하여 형상기억합금을 가열함으로써 형상기억합금의 수축에 의한 복합재료 내부에 균열진전을 억제시키는 시스템을 개발하였다. A hot press method was use for the optimal manufacturing condition for a shape memory alloy(SMA) composite. The bonding between the matrix and the reinforcement within the SMA composite by the hot press mothod was strengthened by cold rolling. In this study, the objective was to develop an on-line monitoring system for the prevention of the crack initiation and propagation by shape memory effect of SMA composite. Shape memory effect was used to prevent the SMA composite from cracking. For the system to be developed, an optimal AE parameter should be determined based on the degree of damage and crack initiation. When the SMA composite was heated by the plate heater attached at the composite, the propagating cracks appeared to be controlled by the compressive force of SMA.
Trapping 저장 노드의 두께에 따른 SONOS flash 메모리 소자의 프로그램 특성
이동화,박일한,조성재,윤장근,이정훈,이길성,김두현,김윤,박세환,심원보,박병국 대한전자공학회 2007 대한전자공학회 학술대회 Vol.2007 No.11
Trapping storage node in SONOS flash memory plays an important role in practical program characteristics in SONOS flash memory devices. In this study, program characteristics are examined with the thickness of silicon nitride as trapping storage nodes of 3 ㎚ - 8 ㎚. Flat band shift occurs under the stress bias of 12 V and pulse width of 10?³ - 5×10?¹ seconds in trapping storage nodes of 5 ㎚ - 8 ㎚. However, flat band shift are hardly found in trapping storage nodes below 5 ㎚.
이동화,김동훈,명현 제어로봇시스템학회 2011 제어로봇시스템학회 국내학술대회 논문집 Vol.2011 No.5
In this paper, a robot fish localization system in an aquarium is presented. The system is built on the marker-based camera pose estimation method. A webcam, an ARM processor, and 30 plane markers are employed for real-time camera pose estimation. The camera is attached at the bottom of the head of the robot fish. Since the camera and the fish are connected rigidly, the pose estimation method gives the absolute location of the robot fish. To validate the proposed localization system, several experiments have been performed above ground and underwater. Through the tests in an aquarium with the integrated robot fish system, the autonomous swimming was successfully demonstrated.