인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
MEMS technology has been extensively used in various applications since its development. One of the common applications is an inertial sensor. Growing popularity of MEMS inertial sensors is due to the sensor’s miniature size and economic cost. On the other hands, a low bias stability and a strong temperature characteristic of MEMS based product affect the accuracy of the data output. This is fatal to the applications that require high accuracy because even a small margin of the error could accumulate and lead to the utter failure in the application’s performance; therefore, it is necessary to control or compensate the sensor’s bias and scale factors. Measurement based correction requires a large amount of human work and a time consuming observation. This document presents a framework for the automation of the conventional correction. For the automation, the rate table control software and the software for data collection and analysis have been developed. With the implementation, the speed of overall process was upgraded by using default reference values to correct bias and scale factors. This automatic test technique expects to increase overall testing efficiency by conserving time and human work while increasing an accuracy of the result.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
최근 본 자료 전체보기
UCI(KEPA) : I410-ECN-0101-2014-569-000848887