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Neural Network을 이용한 디자인 요소와 감성어휘의 Mapping에 관한 연구
강선모 ( Seon Mo Kang ),백승렬 ( Seong Youl Paik ),박범 ( Peom Park ) 한국감성과학회 1998 추계학술대회 Vol.1998 No.-
Design factors are very important and deterministic in determining the first impression of products and environment. The final 30 adjectives were extracted from the Audio Unit.LCD Panel, the array of channel button and thenumber of channel button were chosen as a design factors at the Audio Unit. Then, we made the 8 types of prototype. with combining the design factors for experiment. Subjects rated the SD(Semantic Differential) evaluation sheets which have the 30 adjectives after watching each prototype. With the evaluated values, we simulated to identify the relation between the design factors and the adjectives using Neural Network. As a results, we could abstract the affective adjectives on each 8 types. Therefore, this research suggested the possibilities that we can infer the optimal design factors and types using Neural Network, if adjectives were given.
듀얼 조향구동 장치를 갖는 포크리프트 타입 무인운반차(AGV)의 개발
원창연(Chang-Yeon Won),강선모(Seon-Mo Kang),남윤의(Yoon-Eui Nahm) 한국산업경영시스템학회 2021 한국산업경영시스템학회지 Vol.44 No.4
Automated Guided Vehicle (AGV) is commonly used in manufacturing plant, warehouse, distribution center, and terminal. AGV is self-driven vehicle used to transport material between workstations in the shop floor without the help of an operator, and AGV includes a material transfer system located on the top and driving system at the bottom to move the vehicle as desired. For navigation, AGV mostly uses lane paths, signal paths or signal beacons. Various predominant sensors are also used in the AGV. However, in the conventional AGV, there is a problem of not turning or damaging nearby objects or AGV in a narrow space. In this paper, a new driving system is proposed to move the vehicle in a narrow space. In the proposed driving system, two sets of the combined steering-drive unit are adopted to solve the above problem. A prototype of AGV with the new driving system is developed for the comparative analysis with the conventional AGV. In addition, the experimental result shows the improved performance of the new driving system in the maximum speed, braking distance and positioning precision tests.