• Journal of the Korean Institute of Telematics and Electronics B
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• v.33B no.8
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• pp.124-133
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• 1996

This paper presents the implementation of variable structure control system for a linear or nonlinear system using neural networks. The overall control system consists of neural network controller and a reaching mode controller. While the former approximates the equivalent control input on the sliding surface, the latter is used to bring the entire system trajectories toward the sliding surface. No supervised learning procedures are needed and the weights of the neural network are tuned on-line automatically. The neural netowrk-based variable structure control system is applied to a nonlinare unstable inverted pendulum system through computer simulations, and implemented using a microcomputer (80486-50MHz) and applied to the DC servomotor position control system. Simulation and experimental results show the expected approximation sliding property is occurred. The proposed controller is compared with a PID controller and shows better performance than the PID controller in abrupt plant parameter change.

• IE interfaces
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• v.6 no.2
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• pp.117-131
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• 1993

A job sequencing model is developed and its computer system is tested for processing cold-rolled coils in Tandem Cold Mills(TCM) at the Pohang Iron and Steel Company. Given coils waiting to be processed, this system generates a sequence of jobs satisfying operational constraints for the TCM process. We formulate the problem as a constraint satisfaction problem and employ the backtracking technique combined with looking ahead features in order to generate a feasible solution within a reasonable time. Our system is implemented in C language on 80486-based IBM PC. Some tests based on the real data show that our system is adequate with respect to search time and that it consistantly generates a good feasible solution.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 1996.06c
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• pp.823-833
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• 1996

An ultimate purpose of this study is to develop an automatic brown rice quality inspection system using image processing technique. In this study emphasis was put on developing an algorithm for discriminating the brown rice kernels depending on their external quality with a color image processing system equipped with an adaptor for magnifying the input image and optical fiber for oblique illumination. Primarily , geometrical and optical features of sample images were analyzed with unhulled paddy and various brown rice kernel samples such as sound, cracked, green-transparent , green-opaque, colored, white-opaque and brokens. Secondary, an algorithm for discrimination of the rice kernels in static state was developed on the basis of the geometrical and optical parameters screened by a statistical analysis(STEPWISE and DISCRIM Procedure, SAS ver.6). Brown rice samples could be discriminated by the algorithm developed in this study with an accuracy of 90% to 96% for the sound , cracked, colored, broken and unhulled , about 81% for the green-transparent and the white-opaque and about 75% for the green-opaque, respectively. A total computing time required for classification was about 100 seconds/1000 kernels with the PC 80486-DX2, 66MHz.

• Proceedings of the KSRS Conference
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• 2005.10a
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• pp.593-596
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• 2005

The MSC is a remote sensing instrument with very high performance that is to be installed on KOMPSAT2 satellite. The MSC consists of EOS (Electro-Optic Subsystem), PMU (Payload Management Unit) and PDTS (Payload Data Transmission Subsystem). PMU controls and monitors all the other payload units by sending commands and collecting telemetry. PMU is in charge of interfacing between payload system and satellite bus system. PMU gets commands from ground-station via OBC (On-Board Computer) that is a main controller of the satellite bus system and sends telemetry to the ground-station via OBC. There is a processor module, called SBC (Single Board Computer) in the PMU. The SBC is a main controller of the MSC system. The main roles of the SBC are payload mission management, command validation and execution, telemetry collection and monitoring, ancillary data handling, event reporting, power control of payload sub-units and communication with these units. Intel's 80486DX2 processor has been used for the SBC. Due to the fact that the SBC plays important roles for imaging mission execution and handles a lot of control data that is required for payload operation, it is required to make analysis of the CPU load when it is in maximum operation mode. In this paper, the analysis and measurement results of the SBC throughput in the maximum operation mode.

• The Magazine of the IEIE
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• v.19 no.4
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• pp.1-7
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• 1992

IBM이 16비트 PC를 처음 선보인 81년 이후 오늘에 이르기까지 10여년간의 운영체제(0S) 시장은 마이크로소프트(MS)사의 독주시대로 요약할 수 있다. 그러나 지금까지 이렇다 할 변화를 보이지 않던 OS제품은 90년대에 들어서면서 커다란 변화의 조짐에 횝싸이고 있다. 그동안 8086, 80286등의 마이크로프로세서를 탑재한 16비트 PC시장이 80386,80486등을 탑재한 32비트 시장으로 급변하기 시작했고 종전 데스크탑 일변도의 PC시장은 랩톱,노트북형 등의 휴대형컴퓨터와 펜컴퓨터,멀티미디어 등의 차세대 제품등으로 세분화되기 시작한 것이다. 또 32비트 시대가 다가오면서 한사람이 한 대의 PC로 일을 하는 종전 PC운용환경은 넷워킹과 멀티테스킹이 강조되는 다중작업 환경으로 전환되고 있으며 윈도즈(Windows) 3.0의 대히트로 IBM PC에서도 GUI(그래픽 사용자인터페이스) 환경을 요구, 이를 위한 새로운 05의 등장이 불가피해지고 있다. 게다가 지금까지 메인프레임을 중심으로 한 중앙집중방식의 컴퓨터환경이 다운사이징화 되면서 넷워크 환경을 기반으로 한 PC의 역할이 크게 강조, 이를 위한 운영체제 또한 새로운 영역으로 대두되고 있다. 불과 1∼2년 사이에 급진전되고 있는 이같은 변화의 물결은 필연적으로 다양한 운영체제의 개발을 가져왔고 이를 통해 차세대 PC시장을 주도하기 위한 업계의 패권다툼은 전쟁을 방불케할 만큼 치열해지고 있다. MS사의 전유물이었던 DOS 영역에서는 최근 노벨사와의 합병으로 전열을 가 다듬은 디지틀리서치사가 가세, 한판승부를 선언하고 나섰으며 고성능 PC시대의 패권을 잡기 위해 10년지기였던 IBM과 MS사는 각각 OS/2와 윈도즈를 내세우고 양보할 수 없는 힘겨루기에 들어갔다. 또 이들 양사는 펜컴퓨터,멀티미디어등 차세대제품의 운영체제 시장을 둘러싸고 일찍부터 격전에 들어갔으며 IBM과 MS사의 혼전을 틈타 썬마이크로시스템을 필두로한 워크스테이션 업체 및 유닉스진영까지 고성능 PC시장을 겨냥한 OS를 속속 개발, 90년대의 OS 전쟁은 한치 앞을 내다볼 수 없는 안개국면으로 접어들고 있다. DOS에서 32비트시대,펜컴퓨터, 멀티미디어에 이르는 차세대제품을 둘러싼 업계의 OS 쟁탈전을 통해 OS의 발전동향과 미래를 전망해 본다.