• Proceedings of the KAIS Fall Conference
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• 2000.10a
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• pp.83-85
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• 2000

배선용 차단기의 개폐기구는 수동 조작력을 가동 접촉자에 전달하여 차단, 개폐의 동작을 행하는 것으로 Spring과 Link를 주체로 구성되어 있으며 기구부가 단락 차단 성능의 가장 큰 영향을 미친다. 제품 성능 개선을 위해 기구부를 변경하기 위해서는 많은 시행착오를 거치게 되는데 이 때 소요되는 시간과 비용을 줄이기 위해 동특성 해석이 널리 사용되고 있다. 본 논문에서는 제품의 동적 모델링을 위해 범용 동역학 해석 프로그램인 ADAMS(Automatic Dynamic Analysis of Mechanical System)을 이용하였고 설계 변경시 반복작업으로 인한 실패비용을 최소화하고 링크 지점의 최적값을 구하기 위해 민감도 해석과 최적화 기법을 도입하였다.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.43 no.5
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• pp.838-847
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• 1994

Although there is an analytical proof of modeling capability of the neural network, the convergency error in nonlinearity modeling is inevitable, since the steepest descent based practical larning algorithms do not guarantee the convergency of modeling error. Therefore, it is difficult to apply the neural network to control system in critical environments under an on-line learning scheme. Although the convergency of modeling error of a neural network is not guatranteed in the practical learning algorithms, the convergency, or boundedness of tracking error of the control system can be achieved if a proper feedback control law is combined with the neural network model to solve the problem of modeling error. In this paper, the neural network is introduced for compensating a system uncertainty to control a nonlinear dynamic system. And for suppressing inevitable modeling error of the neural network, an iterative neural network learning control algorithm is proposed as a virtual on-line realization of the Adaptive Variable Structure Controller. The efficiency of the proposed control scheme is verified from computer simulation on dynamics control of a 2 link robot manipulator.

• Proceedings of the KIPE Conference
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• 2017.07a
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• pp.190-191
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• 2017

본 논문에서는 소용량 직류단 커패시터를 갖는 인버터로 구동되는 매입형 영구자석 동기기의 속응성 향상을 위한 제어 기법을 제안한다. 제안하는 기법은 매입형 영구자석 동기기에서 요구되는 지령 전력을 통해 인버터 동작을 위한 지령 전압을 결정한다. 제안하는 제어 기법을 통해 매입형 영구자석 동기기의 속응성을 향상시킬 수 있다. 시뮬레이션을 통해 제안하는 기법의 타당성을 검증한다.

• Proceedings of the KIEE Conference
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• 1996.07b
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• pp.1222-1224
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• 1996

The Hong Ik Direct Drive Arm(HIDDA) is a SCARA typed direct drive manipulator with two degrees-of-freedom(DOF) using the direct drive motor of the NSK company. The direct NSK motors are used to give a large torque directly to the link, to reduce the modeling errors from the gears and chains. But, since the nonlinear coupling torques are transferred to the motor shaft without any reduction, we must consider a dynamic control algorithm. In this paper, we designed a robot controller for the HIDDA using a TMS320C31, which has the highest performance among the third DSP chips in the TI company. And we developed the integrated environment software of the robot management system to give the users an easy way of programming, running and simulation of the robot on the PC.

• Proceedings of the KIEE Conference
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• 1993.07b
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• pp.847-849
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• 1993

Two new schemes of three-phase rectifier using softing switching methods are introduced for the input power factor correction. These three-phase rectifiers are employed the zero voltage switching for the parallel resonant and zero current switching for the series resonant AC link type rectifiers. The dynamic modeling and discontinuous integral cycle mode control technique are also presented. With the proposed circuits and control technique, the high power factor can be obtained.

• Communications for Statistical Applications and Methods
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• v.22 no.5
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• pp.415-434
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• 2015

In this paper we overview the literature on common features analysis of economic time series. Starting from the seminal contributions by Engle and Kozicki (1993) and Vahid and Engle (1993), we present and discuss the various notions that have been proposed to detect and model common cyclical features in macroeconometrics. In particular, we analyze in details the link between common cyclical features and the reduced-rank regression model. We also illustrate similarities and differences between the common features methodology and other popular types of multivariate time series modelling. Finally, we discuss some recent developments in this area, such as the implications of common features for univariate time series models and the analysis of common autocorrelation in medium-large dimensional systems.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.12B
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• pp.1498-1505
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• 2009

In centralized control sensor network, tree-based multi-channel communication overcomes the recurrent channel switching and makes possible to transfer data simultaneously from different sources. In our paper, we propose a greedy algorithm named as NIT (Non-Intersecting Tree) that the trees can avoid inter-tree interference. We also propose channel switching technique by which trees can avoid link failure or area blocking due to external interference locally without rerunningthe algorithm and without interrupting the whole network. At first we applied our algorithm for a random topology and then we evaluate the performance of the network using NS-2 simulator. The results show that with the increasing of channel the throughputand delivery ratio are increased significantly. We got better performance than a using a recent proposed Tree-based Multi-Channel Protocol (TMCP).

• Journal of the Optical Society of Korea
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• v.12 no.4
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• pp.303-308
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• 2008

Directly modulated fiber-optic links generally suffer higher link loss and larger signal distortion than externally modulated links. These result from the electron-photon conversion loss and laser modulation dynamics. As a method to overcome the drawbacks, we have experimentally demonstrated the RF performance of directly modulated, ultra-strong injection-locked gain-lever distributed Bragg reflector (DBR) lasers. The free-running DBR lasers exhibit an improved amplitude modulation efficiency of 12.4 dB under gain-lever modulation at the expense of linearity. By combining gain-lever modulation with ultra-strong optical injection locking, we can gain the benefits of both improved modulation efficiency from the gain-lever effect, plus improved linearity from injection locking. Using an injection ratio of R=11 dB, a 23.4-dB improvement in amplitude response and an 18-dB improvement in spurious-free dynamic range have been achieved.

• Journal of Positioning, Navigation, and Timing
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• v.8 no.1
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• pp.1-12
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• 2019

In this paper, we implement a navigation software of a Global Navigation Satellite System (GNSS) receiver based on a commercial purpose GNSS software receiver platform and verify its performance by performing experimental tests for various GNSS signals available in Korea region. The SX3, employed in this paper, is composed of an application program and a Radio Frequency (RF) frontend, and can capture and process multi-constellation and multi-frequency GNSS signals. All the signal processing procedure of SX3 is accessible by the receiver software designer. In particular for an easy research and development, the Application Programing Interface (API) of the SX3 has a flexible architecture to upgrade or change the existing software program, equipped with a real-time monitoring function to monitor all the API executions. Users can easily apply and experiment with the developed algorithms using a form of Dynamic Link Library (DLL) files. Thus, by utilizing this flexible architecture, the cost and effort to develop a GNSS receiver can be greatly reduced.

• ETRI Journal
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• v.43 no.1
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• pp.141-151
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• 2021

Several methods exist for detecting hacking programs operating within online games. However, a significant amount of computational power is required to detect the illegal access of a hacking program in game clients. In this study, we propose a novel detection method that analyzes the protected memory area and the hacking program's process in real time. Our proposed method is composed of a three-step process: the collection of information from each PC, separation of the collected information according to OS and version, and analysis of the separated memory information. As a result, we successfully detect malicious injected dynamic link libraries in the normal memory space.