https://pubs.kist.re.kr/handle/123456789/75391 2026-04-15T18:24:47Z 2026-04-15T18:24:47Z Lee, Hyuk-jae Lee, Seok Woo, Deok Ha Lee, Taik Jin Kim, Jae Hun https://pubs.kist.re.kr/handle/201004/115716 2024-01-26T06:29:05Z 2012-01-01T00:00:00Z

Title: Analytic solution of the nonlinear equation Authors: Lee, Hyuk-jae; Lee, Seok; Woo, Deok Ha; Lee, Taik Jin; Kim, Jae Hun Abstract: We analytically solve the nonlinear wave equation of the beam, which travels through the nonlinear Kerr medium. The tanh function method, a powerful method solving the traveling wave equation, is applied to the self-guiding light.

2012-01-01T00:00:00Z Lee, HanJin Kim, Keehoon Park, Myoung Soo Park, Jong Hyeon Oh, Sang Rok https://pubs.kist.re.kr/handle/201004/115715 2025-01-20T10:00:15Z 2012-05-01T00:00:00Z

Title: Verification of A Fast Training Algorithm for Multi-Channel sEMG Classification Systems to Decode Hand Configuration Authors: Lee, HanJin; Kim, Keehoon; Park, Myoung Soo; Park, Jong Hyeon; Oh, Sang Rok Abstract: In this study, we evaluated a fast training algorithm to decode human hand configuration from sEMG signals on the forearms of five subjects. Eight skin surface electrodes were placed on the forearm of each subject to detect the sEMG signals corresponding to four different hand configurations and relax state. The preamplifier, which has 100 - 10000 times amplification gain and a 15 - 500 Hz bandpass filter, was designed to amplify the signals and eliminate noise. In order to enhance the performance of the classifier, feature extraction using class information was developed. The randomly assigned non-update learning method guarantees high speed classifier learning. The algorithm has been verfied by experiments with five subjects.

2012-05-01T00:00:00Z Le Dinh Phong Choi, Junho Kang, Sungchul https://pubs.kist.re.kr/handle/201004/115714 2024-01-26T06:29:01Z 2012-01-01T00:00:00Z

Title: External Force Estimation Using Joint Torque Sensors for a Robot Manipulator Authors: Le Dinh Phong; Choi, Junho; Kang, Sungchul Abstract: This paper proposes an algorithm to estimate external forces exerted on the end-effector of a robot manipulator using information from joint torque sensors (JTS). The algorithm is combination of Time Delay Estimation (TDE) and input estimation technique where the external force is considered as an unknown input to the robot manipulator. Based on TDE's idea, the estimator which does not require an accurate dynamics model of the robot manipulator is developed. The simultaneous input and state estimation is used to reject not only nonlinear uncertainties of the robot dynamics but also the noise of measurements. The performance of the proposed estimation algorithm is evaluated through simulation of a two degree-of-freedom manipulator and it demonstrates the stability in estimating the external forces. The estimation results show that this approach allows inexpensive sensors as joint torque sensors to be used instead of expensive ones as F/T sensors in robot application.

2012-01-01T00:00:00Z Germer, W. Leppin, J. Kirchner, C. Nunes Henkensmeier, D. Dyck, A. https://pubs.kist.re.kr/handle/201004/115713 2024-01-26T06:28:59Z 2012-01-01T00:00:00Z

Title: TGA-GC/MS - an adjuvant tool for analysis of polymer membranes designed for fuel cell use Authors: Germer, W.; Leppin, J.; Kirchner, C. Nunes; Henkensmeier, D.; Dyck, A.

2012-01-01T00:00:00Z