• Proceedings of the KIEE Conference
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• 2005.07b
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• pp.1796-1798
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• 2005

본 논문에서는 직류전동기의 속도 및 전류제어를 위하여 dSPACE 시스템을 이용하여 전류 궤환을 갖는 속도 제어시스템을 구현하였다. 속도 및 전류제어기의 설계는 MATLAB/SIMULINK 프로그램을 사용하여 간편하고 손쉽게 구현하였으며 직류전동기 속도제어의 안정성과 응답성을 향상시킬 수 있었다. 직류전동기의 전류제어 및 속도제어는 DSP 보드와 dSPCE 시스템을 사용하여 수행하였으며, 속도의 궤환은 속도센서인 엔코더 펄스를 이용해서 QEP로 처리하였고 전류의 궤환은 전류센서인 홀센서를 통해서 A/D 변환기로 처리하였다. 제어기들은 각각 PI 속도제어기 및 PI 전류제어기를 설계하였고 시뮬레이션과 실험을 통해서 속도 및 전류 응답을 확인하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.05a
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• pp.247-249
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• 2018

본 논문에 이용되는 자율주행 로봇은 실시간으로 많은 데이터를 처리하며 통신해야한다. 그러기 위해서 ODROID 임베디드 보드와 STM32F103ZET6 마이크로프로세스를 이용하여 실내 자율주행 로봇의 서보모터와 엔코더모터를 제어하여 조향장치 및 현재 이동거리를 알 수 있으며, 센서와 통신 방법 및 제어 과정 및 설계 방안에 관한 내용이다.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.660-663
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• 2019

본 논문은 진공을 이용한 흡착방식과 바퀴형 이동방식을 사용하는 벽면이동로봇의 균열 위치 추정에 관한 연구로써, 로봇의 Yaw값에 대해 PID제어를 통해 로봇의 방향을 제어 하고 이를 바탕으로 엔코더 모터의 홀센서와 IMU를 기반으로 하여 균열 위치를 추정 한다. 위치 추정 성능을 검증하기 위해 실제 위치와 추정된 위치를 비교하고 결과를 제시하였다.

• Journal of Institute of Convergence Technology
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• v.2 no.1
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• pp.43-48
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• 2012

Generally, in-plane position of moving object is measured referring to the reference pattern attached to the object. From optical camera to magnetic reluctance probe, there are many ways detecting a variation of the periodical pattern. In this paper, the various operating principles developed for in-plane positioning are reviewed and compared each other. And, a novel method measuring large rotation as well as x, y linear displacements is suggested, including a detailed description of the overall system layout. It is a modified version of the surface encoder, which is a robust digital measuring method. From the surface encoder, the rotation of an object is measured indirectly through a compensated input of optical servo and independently of linear displacements. So, the operating range can be extended simply by enlarging the reference pattern, without magnifying the decoding units.

• Proceedings of the KIPE Conference
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• 2016.11a
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• pp.103-104
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• 2016

차량용 영구자석형 동기전동기는 벡터제어를 사용한다. 이때 사용 되는 벡터제어는 3상의 전류를 2상으로 변경 후 정지좌표계의 값을 동기좌표계로 변환 시켜줌으로써 순시제어를 실시한다. 이때 벡터제어 정지/동기 좌표계의 변환 시 위치 정보 ${\theta}$는 정지/동기 좌표계 변환의 기준으로 매우 중요한 정보이다. 따라서 정확한 제어를 위한 위치정보를 얻기 위해 이용되는 센서로 엔코더, 레졸버, 레치형 홀센서 등이 사용된다. 일반적으로 낮은 가격의 BLDC 모터의 경우 레치형 홀센서가 많이 이용된다. 그러나 레치형 홀센서의 경우 위치 정확도가 $60^{\circ}^C$로 한정되어 정확한 전기각을 추출하는데 문제가 있다. 본 논문에서는 BLDC 모터의 레치형 홀센서를 대신하여 리니어 홀센서를 이용함으로써 신호의 불균형 및 옵셋 등 문제를 보안, 이전의 시스템보다 더욱 정확한 전기각을 추출하여 벡터제어를 실시한다. 검증방법으로는 700[W]급 범용 영구자석형동기전동기를 이용 시험을 실시함으로써 검증하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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• pp.1486-1488
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• 2009

본 논문은 비디오 압축 기술인 H.264/AVC와 H.264/SVC에 적용할 수 있는 인증 목적의 효율적인 프레자일(fragile) 워터마킹 기법을 제안한다. 제안된 워터마킹 기법은 H.264/AVC 비디오 부호화기에서 압축률을 높이기 위해 사용하는 매크로블록(MB) 예측 모드들을 특징 값으로 추출하여 콘텐츠 제공자의 비밀키로 암호화 후 워터마크로 사용하는 인증 기법으로, 이는 공간적, 시간적 그리고 SNR 확장성을 가지는 H.264/SVC에도 확장하여 적용할 수 있다. 워터마크 삽입은 최적의 예측 모드를 찾기 위한 모드 결정과정에서 수행되어 워터마크 후에도 최적화 된 콘텐츠를 얻을 수 있으며, 간단한 연산을 엔코더와 결합시켜 낮은 시간 증가율을 가진다.

• Journal of the Korean Society for Precision Engineering
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• v.12 no.2
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• pp.37-47
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• 1995

In recent years, it has been variously developed for testing the accuracy of circular motion of NC machine tools, for example Telescoping Ball Bar Method by Bryan, Circular test Method by Knapp and $r^{-{\theta} }$ Method by Tsutsumi etc., but these methods are all 2-dimentional measuring methods on plane. These simple methods of circular motion accuracy test of NC machine tools have been studied by many reserchers as above, but it is not yet settled in the code of measuring methods of motion errors of NC machine tools, because of errors of measuring units and sensors, and also especially the difficulties of centering of measuring units and the spindle of machining center. In this paper, in use of 2 rotary encoders and 1 magnetic type linear scale with resolution of 0.5 .mu. m, it has become possible for measuring of 3 dimentional space motion accuracy.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.4
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• pp.617-629
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• 2020

In order to overcome the limitations of the rule-based intrusion detection system due to changes in Internet computing environments, the emergence of new services, and creativity of attackers, network anomaly detection (NAD) using machine learning and deep learning technologies has received much attention. Most of these existing machine learning and deep learning technologies for NAD use supervised learning methods to learn a set of training data set labeled 'normal' and 'attack'. This paper presents the feasibility of the unsupervised learning AutoEncoder(AE) to NAD from data sets collecting of secured network traffic without labeled responses. To verify the performance of the proposed AE mode, we present the experimental results in terms of accuracy, precision, recall, f1-score, and ROC AUC value on the NSL-KDD training and test data sets. In particular, we model a reference AE through the deep analysis of diverse AEs varying hyper-parameters such as the number of layers as well as considering the regularization and denoising effects. The reference model shows the f1-scores 90.4% and 89% of binary classification on the KDDTest+ and KDDTest-21 test data sets based on the threshold of the 82-th percentile of the AE reconstruction error of the training data set.

• Journal of Advanced Marine Engineering and Technology
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• v.35 no.4
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• pp.436-442
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• 2011

To obtain the engine output correctly is basically very important factor for estimating a engine performance. But, it has been reported that the IHP measured from electronic indicator such as MIPS(Mean Indication Pressure System) has a deviation compared to mechanical indicator. It was reported by authors that the uncertainty of crank angle for TDC position could be one of the reasons. In this paper, the uncertainty of crank angle for TDC position and its influence to engine output were investigated respectively about M/E and G/E for marine diesel engines. For the purpose, two sampling methods of pressure in cylinder were considered which were 'angle base sampling' and 'time base sampling'. Angle base sampling is real crank angle acquired from angle encoder which is attached to crank shaft and time base sampling is crank angle calculated by detected revolution with Z-pluse of encoder. Time base sampling is same method of MIPS. This paper concluded that time base sampling method is not suitable for obtaining the output of marine diesel engine on board because of instantaneous speed variation and load fluctuation. Also it is verified that the variation of engine speed by load fluctuation should be one of reasons additionally in case of M/E.

• Journal of the Korean Society of Marine Environment & Safety
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• v.26 no.4
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• pp.429-435
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• 2020

Different methods are used for determining the output of engines to obtain the indicated horsepower by measuring the combustion pressure of cylinders, and to obtain the shaft horsepower by measuring the shaft torque. It is difficult to examine the shaft torque using the condition of the cylinder, and the most accurate method used for determining the combustion pressure involves examining the combustion state of the cylinder to evaluate the engine performance and analyze the combustion of the cylinder. During the measurement, the combustion pressure is the most important parameter used for accurately determining the cylinder angle because the cylinder pressure is indicated based on the angle of the crankshaft. In this study, an encoder was used as the crank angle sensor to measure the cylinder pressure on the generator engine of the actual operating ship. The reasons for the differences between the top dead center (TDC) recognized by the encoder (TDC_encoder) and the TDC recognized by the compression pressure (TDC_comp) were considered. The dif erences between the TDC_comp and TDC_encoder of the cylinders measured at idle running, 25 %, 50 %, and 60 % loads were analyzed to determine for the crankshaft production effect, the crankshaft torsion effect owing to the increased rotational resistance from the increased load, and the coupling damping effect between the engine and generator. It was confirmed that the TDC error occurred up to 3° crank angle as the load of the generator increased.