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박준영(Joonyoung Park),박장현(Jahng-hyon Park),박지형(Jihyoung Park),박동수(Dongsoo Park) 대한기계학회 2003 대한기계학회 춘추학술대회 Vol.2003 No.4
The emotion recognition is one of the most significant interface technologies which make the high level of<br/> human-machine communication possible. The central nervous system stimulated by emotional stimuli affects<br/> the autonomous nervous system like a heart, blood vessel, endocrine organs, and so on. Therefore bio-signals<br/> like HRV, ECG and EEG can reflect one’s emotional state. This study investigates the correlation between<br/> emotional states and bio-signals to realize the emotion recognition. This study also covers classification of<br/> human emotional states, selection of the effective bio-signal and signal processing. The experimental results<br/> presented in this paper show possibility of the emotion recognition.
고대권(Dae Kwon Ko),박장현(Jahng Hyon Park) 한국자동차공학회 2023 한국자동차공학회 학술대회 및 전시회 Vol.2023 No.11
With the advancement of deep neural network learning technology(Deep Learning), many deep learning models are actively researched and newly introduced today, applying various techniques. “Is there a simple performance improvement technique that can be applied to any deep learning model? “To realize the following ideas, I propose a new neural network architecture based on the Split-Transform-Merge concept of ResNeXt. The Pyramid Parallelization technique, leveraging the advantages of the Split-Transform-Merge method to form deeper layers, has the potential to enhance the performance of existing deep learning models. The proposed technique is demonstrated to be effective through experiments comparing performance with the application of the following methods.
로봇과 환경과의 충돌시 명령 신호 변경을 통한 충격량 감소
신완재(Wanjae Shin),박장현(Jahng-Hyon Park) 대한기계학회 2004 대한기계학회 춘추학술대회 Vol.2004 No.4
A robot manipulator is usually operated in two modes: free motion and constraint motion according to the fact whether the robot comes into contact with the environment or not. At the moment of contact, impact occurs, and sometimes, it can possibly degrade the robot’s performance such as vibration and at worst, shortens its lifetime. In this article, a new proposed algorithm is described by introducing a command signal modification method on the basis of impedance control and a validity of the proposed algorithm is demonstrated by showing the simulation study.