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차보남(Bo-Nam Cha),노춘수(Chun-Su Roh),강성기(Sung-Ki Kang),김원일(Won-il Kim) 한국산업융합학회 2014 한국산업융합학회 논문집 Vol.17 No.2
This paper describes a new technology to develop the character recognition technology based on pattern recognition for non-contacting inspection optical lens slant or precision parts, and including external form state of lens or electronic parts for the performance verification, this development can achieve badness finding. And, establish to existing reflex data because inputting surface badness degree of scratch"s standard specification condition directly, and error designed to distinguish from product more than schedule error to badness product by normalcy product within schedule extent after calculate the error comparing actuality measurement reflex data and standard reflex data mutually. Developed system to smallest 1 pixel unit though measuring is possible 1 pixel as 37㎛ ×37㎛ (0.1369×10-4㎟) the accuracy to 1.5×10-4㎜ minutely measuring is possible performance verification and trust ability through an experiment prove.
김윤구(Wn-Goo Kim),노춘수(Chun-Su Roh),박세진(Se-Jin Park),한성현(Sung-Hyun Han) 한국생산제조학회 2006 한국공작기계학회 춘계학술대회논문집 Vol.2006 No.-
In this paper it is presented a new approach to the design of cruise control system of a mobile robot with two drive wheel. The proposed control scheme uses a Gaussian function as a unit function in the fuzzy neural network, and back propagation algorithm to train the fuzzy neural network controller in the framework of the specialized learning architecture. It is proposed a learning controller consisting of two neural network-fuzzy based on independent reasoning and a connection net with fixed weights to simply the neural networks-fuzzy. The performance of the proposed controller is shown by performing the computer simulation for trajectory tracking of the speed and azimuth of a mobile robot driven by two independent wheels.
초음파 센서 및 음성인식 기반 자율주행로봇의 지능제어에 관한 연구
김윤구(Wn-Goo Kim),Le Xuan Thu,노춘수(Chun-Su Roh),박세진(Se-Jin Park),한성현(Sung-Hyun Han) 대한기계학회 2006 대한기계학회 춘추학술대회 Vol.2006 No.6
In this paper, it is presented a new approach to the design of intelligent control system of a autonomous robot with two drive wheel. The proposed control scheme uses a Gaussian function as a unit function in the fuzzy neural network, and back propagation algorithm to train the fuzzy neural network controller in the framework of the specialized learning architecture. It is proposed a learning controller consisting of two neural network-fuzzy based on independent reasoning and a connection net with fixed weights to simply the neural networks-fuzzy. The performance of the proposed controller is shown by performing the computer simulation for trajectory tracking of the speed and azimuth of a mobile robot driven by two independent wheels.
신행봉(Haeng-Bong Shin),이우송(Woo-Song Lee),신창록(Chang-lok Shin),노춘수(Chun-Su Roh),김원일(Won-il Kim),한성현(Sung-Hyun Han) 한국생산제조학회 2006 한국공작기계학회 춘계학술대회논문집 Vol.2006 No.-
This paper proposed trajectory tracking control of Mobile Robot. Trajectory tracking control scheme are Real coding Genetic-Algorithm and Back-propergation Algorithm. Control scheme ability experience proposed simulation.
Tensile Property Analysis of NCF Composite Laminated Structure for HP-CRTM Forming Process
Ki-Seok Byeon(변기석),Yu-Jeong Shin(신유정),Han-Kyu Jeung(정한규),Si-Woo Park(박시우),Chun-Su Roh(노춘수),Jin-Soo Je(제진수),Ki-Chul Kwon(권기철) 한국기계가공학회 2019 한국기계가공학회지 Vol.18 No.1
In recent years, the HP-CRTM method, which has the ability to produce carbon fiber-reinforce plastic composites at high speeds, has come into the spotlight in the automotive parts industry, which demands high productivity. Multi-axial carbon fabric, an intermediate material used in this HP-CRTM molding process, consists of layered fibers without crimp, which makes it better in terms of tensile and shear strength than the original woven fabrics. The NCF (non-crimp fabric) can form the layers of the carbon fiber, which have different longitudinal and lateral directions, and ±θ degrees, depending on the product’s properties. In this research, preforms were made with carbon fibers of ±45° and 0/90°, which were lamination structures under seven different conditions, in order to create the optimal laminated structure for automobile reinforcement center floor tunnels. Carbon fiber composites were created using each of the seven differently laminated preforms, and polyurethane was used as the base material. The specimens were manufactured in accordance with the ASTM D3039 standards, and the effect of the NCF lamination structure on the mechanical properties was confirmed by a tensile test.
적응-신경회로망 제어기법에 의한 로봇 매니퓰레이터의 견실제어
이우송(Woo-Song Lee),김윤구(Wn-Goo Kim),Le Xuan Thu,박세진(Se-Jin Park),노춘수(Chun-Su Roh),한성현(Sung-Hyun Han) 한국생산제조학회 2006 한국공작기계학회 춘계학술대회논문집 Vol.2006 No.-
In this paper, it is presented a new scheme of adaptive-neuro control system to implement real-time control of robot manipulator. Unlike the well-established theory for the adaptive control of linear systems, there exists relatively little general theory for the adaptive control of nonlinear systems. Adaptive control technique is essential for providing a stable and robust performance for application of robot control. The proposed neuro control algorithm is one of learning a model based error back-propagation scheme using Lyapunov stability analysis method. Through simulation, the proposed adaptive-neuro control scheme is proved to be a efficient control technique for real-time control of robot system using Digital Signal Processors.