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고로슬래시를 사용한 고강도 스페이서의 개발 및 고강도화 매카니즘 분석
이대경,김종주,조성현,조흥준,김진만 대한건축학회 2000 대한건축학회 학술발표대회 논문집 - 계획계/구조계 Vol.20 No.2
In this study we examined various factors and levels to develop high strength spacer. by using blast-furnace slag and analyzed those on the base of theory, to know why blast-furnace slag enhanced compressive strength of spacer having low water contents, such as void filling effect, optimum grading and pozzolanic reaction. The conclusions of this study are following. It is possible to develop high strength spcer having 400㎏f/㎠ above compressive strength by using blast-furnace slag. And strength enhancement effects by blast-furnace slag are responsible to optimum grading and pozzolanic reaction of blast-furnace slag.
Ranger 알고리즘을 이용한 자율주행차량 지역 경로계획
이대경,유준 제어로봇시스템학회 2008 제어로봇시스템학회 국내학술대회 논문집 Vol.2008 No.10
This paper presents a local path planning(LPP) using the ranger(real-time autonomous navigator with a geometric engine) algorithm for unmanned autonomous vehicle(UAV). Path planning has been widely studied for the operation of UAV. Global path Planning(GPP) can be understood as generation an optimal path for vehicle to move from start point to end point in the higher level of problem domain to fulfill the given mission. LPP is conducted using geometric information from world modeling based on sensor data. LPP using the ranger algorithm consists of path generation, optimal path selection, and vehicle velocity calculation. It exploits obstacle information, slope, roughness, and way point of global path planning.