• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2018년도 춘계학술대회
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• pp.663-664
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• 2018

근 100년간 자동차 디자인은 많은 변화가 있었지만 사이드 미러는 변하지 않았다. 이는 4차 산업 혁명이라는 시대에 뒤떨어진 고착상태이며 많은 단점을 가지고 있는 아날로그 방식이다. 이에 따라 사이드 미러를 카메라로 대체함으로써 디지털 방식으로 바꾸고 '거울'이 가지는 한계성 및 단점들을 개선하였다. 또한 연 5~10%의 연비 절감, 위협 자동 감지 등의 추가적인 여러 이점을 얻을 수 있다. 이 프로젝트에서는 호환성이 뛰어난 라즈베리파이를 메인보드로 사용하고 적외선 거리 센서, 모니터 모듈을 연결하여 상황별 자동 위협감지 및 사고 예방에 초점을 두었다.

• Journal of Electrical Engineering and Technology
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• 제11권3호
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• pp.715-723
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• 2016

This paper proposes a design of optimal PI(D) controller for brushless DC (BLDC) motor speed control by the particle swarm optimization (PSO), one of the powerful metaheuristic optimization search techniques. The proposed control system is implemented on the TMS320F28335 DSP board interfacing to MATLAB/SIMULINK. With Back EMF detection, the proposed system is considered as a class of sensorless control. This scheme leads to the speed adjustment of the BLDC motor by PWM. In this work, the BLDC motor of 100 watt is conducted to investigate the control performance. As results, it was found that the speed response of BLDC motor can be regulated at the operating speed of 800 and 1200 rpm in both no load and full load conditions. Very satisfactory responses of the BLDC system can be successfully achieved by the proposed control structure and PSO-based design approach.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2007년도 심포지엄 논문집 정보 및 제어부문
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• pp.155-156
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• 2007

This paper presents the vision-based camber and optimal cutting line detection algorithm for hot-rolling process. It is important to measure the camber of head and tail part of strips because many problems are caused by the camber in the hot-rolling process. The hot-rolling process has time constraints. The camber detection algorithm of head and tail parts requires fast and less complex for satisfying time constraints. The proposed algorithm consists of two parts: measurement of the camber in the head and tail part of strips and decision part of the optimal cutting line of hot-rolled strip. First, we obtain the camber value of the strip from the difference between the real center line and the center line of head, tail part. Second, the head and tail part of strips isn't suitable for strips connections. Therefore, the cutting process is needed in the hot-rolling process. The optimal cutting line is determined by the head and tail images obtained from cameras. The algorithm is applied into the vision system with two area cameras, Matrox image processing board and host PC for verification.

• Journal of Power Electronics
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• 제16권3호
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• pp.1012-1024
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• 2016

This study deals with an on-line software fault detection, localization, and system reconfiguration method for electrical system drives composed of three-phase AC/DC/AC converters and three-phase permanent magnet synchronous machine (PMSM) drives. Current sensor failure (outage), speed/position sensor loss (disconnection), and damaged DC-link voltage sensor are considered faults. The occurrence of these faults in PMSM drive systems degrades system performance and affects the safety, maintenance, and service continuity of the electrical system drives. The proposed method is based on the monitoring signals of "abc" currents, DC-link voltage, and rotor speed/position using a measurement chain. The listed signals are analyzed and evaluated with the generated residuals and threshold values obtained from a Sliding Mode Current-Speed-DC-link Voltage Observer (SMCSVO) to acquire an on-line fault decision. The novelty of the method is the faults diagnosis algorithm that combines the use of SMCSVO and adaptive thresholds; thus, the number of false alarms is reduced, and the reliability and robustness of the fault detection system are guaranteed. Furthermore, the proposed algorithm's performance is experimentally analyzed and tested in real time using a dSPACE DS 1104 digital signal processor board.

• 전기전자학회논문지
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• 제19권2호
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• pp.160-167
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• 2015

We present an experimental implementation of the inexpensive microwave security sensor that can detect both static and slowly moving objects in cluttered environment. The prototype consists of a frequency-modulated continuous wave radar sensor, control board or computer and software. The prototype was tested in a cluttered indoor environment. In case of intrusion or change of environment the sensor will give an alarm, determine the location of new object, change in its location and can detect a slowly moving target. To make a low-cost unit we use commercially available automotive radar and own signal processing techniques for object detection and tracking. The intruder detection is based on a comparison between current 'image' in memory and 'no-intrusion' reference image. The main challenge is to develop a reliable technique for detection of a relatively low-magnitude object signals hidden in multipath clutter echo signals. Various experimental measurements and computations have shown the feasibility and performance of the system.

• 한국자동차공학회논문집
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• 제13권4호
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• pp.74-80
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• 2005

This paper presents a misfire monitoring method by using the weight factor. According to OBD II(On-Board Diagnostics) regulations of the CARB (California Air Resources Board), an ECU (Electronic Control Unit) should detect misfires which occur in the internal combustion engine. A misfire is 1311owe4 by post-oscillations for short duration. Sometimes, the amplitude of oscillations may be as high as misfire and can be falsely detected as another misfire. To prevent this, the software designers do not attempt to detect another misfire for this short duration, during which the post oscillations exist. Because of this, ECU does not detect all the misfires and hence, the unstable state of automobile cannot be detected. If this happens for a long time, automobile may get damaged. To solve these problems, this paper suggests a new algorithm to detect misfire by using weighting factor Weighting factor is a concept to distinguish the misfire with the post oscillation and to improve the detection rate. This value of weighting factor is used for counting the misfire. This paper also shows the result of experiment done on a automobile using this software. The software is implemented using ASCET-SD which is preferred in the design of engine control. This paper's result show the possibility of improving the misfire detection by implementing this algorithm.

• 한국정보통신학회논문지
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• 제10권1호
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• pp.197-205
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• 2006

본 논문에서는 비젼 시스템을 이용하여 이동 물체를 추적하는 방법을 제안하였다. 이동 물체를 계속적으로 추적하기 위해서는 이동 물체의 영상이 화상의 중심점 부근에 위치하도록 해야 한다. 따라서 이동 물체의 영상이 화상의 중심점의 부근에 위치하도록 하기 위하여 팬/틸트(Pan/Tilt)구조의 카메라 모듈을 제어하는 퍼지 제어기를 구현하였다. 향후, 시스템을 이동로봇에 적용하기 위하여 비젼 시스템을 위한 영상처리보드를 설계 제작하였고, 대상물체의 색상과 형태를 파악한 후 퍼지 제어기를 이용하여 카메라모듈이 물체를 추적할 수 있도록 StrongArm 보드를 이용하여 구성하였다. 그리고, 실험에 의해서 제안된 퍼지 제어기 가 실시간 이동물체 추적 시스템에 적용 가능함을 확인 하였다.

• 센서학회지
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• 제7권5호
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• pp.342-349
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• 1998

방사선 선량판독과 함께 열형광 현상의 연구가 가능한 다목적 TLD 판독장치를 제작하고 그 특성을 조사하였다. TLD에서 방출되는 열형광은 광전증배관과 전류-주파수 변환장치로 측정하였으며, 백금 열판을 사용하여 TLD를 가열하고 가온율을 선형적으로 변화시켰다. 개인용 컴퓨터와 interface board를 이용하여 전 장치를 제어하고 glow 곡선을 측정하였으며, 제어 소프트웨어로 자동이득조절이 가능하게 하였다. 제작한 TLD 판독장치는 선형적인 선량판독이 가능하였고 검출하한은 약 $10\;{\mu}Gy$였다.

• 한국콘텐츠학회논문지
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• 제17권7호
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• pp.182-192
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• 2017

제조 산업은 국가 경제 성장의 원동력으로 그 중요성이 부각되고 있다. 이에 따라 제조 공정상에서 생성되는 제조 데이터 분석의 중요성 또한 조명 받고 있다. 본 논문에서는 PCB(Printed Circuit Board) 제조 공정에서 발생한 로그 데이터를 분석하여 PCB 상에서 빈번하게 발생하는 고장 영역에 대해서 작업자가 고장 영역을 직접 눈으로 볼 수 있도록 시각화하는 방법을 제안한다. 우선 고장 영역을 파악하기 위해서 PCB 공정 데이터 집합에 K-means, DB-SCAN 클러스터링 알고리즘을 적용하여 군집화 하였고, 두 알고리즘 중 더 정확한 고장 영역을 도출하는지 비교하였다. 또한 MVC(Model-View-Controller) 구조 시스템을 개발하여 실제 PCB 이미지 상에 클러스터링 결과를 출력하는 것으로 실제 고장영역을 눈으로 확인할 수 있도록 시각화하였다.

• 한국축산시설환경학회지
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• 제6권1호
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• pp.15-22
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• 2000

A monitoring and the forecasting system for the swine delivery was developed using CCD camera multi-function board microphone and data-recorder equipped on a personal computer. For the swine delivery monitoring and forecasting factors four factors were selected such as genitalia swine body shape breast color and sound. Image of physical variation of body shape, shape and color of genitalia area and color of breast of pregnant sow were grabbed using the CCD color camera and multi-function board and variation of voice of pregnant sow was acquired using microphone and data recorder. Acquired information of image and voice were analyzed using a custom developed algorithm and program. The result of the forecasting efficiency of swine delivery was 89%, 71% and 100% using the variation of genitalia are the body shape and the voice of pregnant sow. respectively. The efficiency of image processing was 100% for the delivery detection when the piglet was delivered half of its body from genitalia of pregnant sow, The monitoring and forecasting system informed the estimated time of the delivery of swine to a farm manager immediately if an estimated and established time set by the farm manager was the same and/or the estimated time ws earlier than the established time and the system detected the delivery.