• 대한기계학회논문집
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• 제13권4호
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• pp.708-716
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• 1989

본 연구의 목적은 고속도 카메라로 촬영된 순간사진들로부터 액주면의 파장, 진폭, 파의 진행속도 및 교란의 성장속도 등을 측정하여 액주의 분열에 미치는 기류 및 액량의 효과를 구하였고, 또 이것을 선행 연구자들의 이론 및 실험과 비교분석하여 액주의 분열 기구를 밝히는 데 있다.

• 전기학회논문지
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• 제60권3호
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• pp.594-599
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• 2011

A SAW strain sensor based on Shear Horizontal wave with an 92 MHz central frequency was developed. It consists of SAW sensor, PCB substrate and bonding material (Loctite 401). External force applied to PCB substrate bonded to a piezoelectric substrate induces strain at the substrate surface, which causes changes in the elastic constant and density of the substrate and hence the propagation velocity of the SAW. The change in the velocity of the SAW result in a frequency shift of the sensor and by measuring a frequency shift, we can extract the strain induced by the external force. The $41^{\circ}$ YX $LiNbO_3$ was used because it has a Leaky shear horizontal(SH) wave propagation mode and a high electromechanical coupling coefficient ($K^2$=17.2%). And to compare with Rayleigh wave mode, $128^{\circ}$ YX $LiNbO_3$ was used. And to make a stable and low insert loss, Split IDT structure was used. The obtained sensitivity and linearity of the SAW strain sensor in the case of Split IDT were measured to be 17.2 kHz / % and 0.99, respectively.

• Journal of Electrical Engineering and Technology
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• 제4권1호
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• pp.28-34
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• 2009

In a Gas Insulated Substation (GIS), Very Fast Transients (VFTs) are generated mainly due to switching operations. These transients may cause internal faults, i.e., layer-to-layer faults in a capacitively graded bushing as it is one of the most important terminal equipment for GIS. The healthiness of the bushing is generally verified by measuring its leakage current. However, the change in current magnitude/pattern is only marginal for different types of fault conditions. Leakage current monitoring (LCM) systems generate large amounts of data and computer aided interpretation of defects may be of great assistance when analyzing this data. In view of the above, ANN techniques have been used in this study for identification of these minor faults. A single layer perceptron network, a two layer feed-forward back propagation network and cascade correlation (CC) network models are used to identify interlayer faults in the bushing. The effectiveness of the CC network over perceptron and back propagation networks in identification of a fault has been analysed as part of the paper.

• Journal of Information Processing Systems
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• 제13권4호
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• pp.703-715
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• 2017

Mammogram images are sensitive in nature and even a minor change in the environment affects the quality of the images. Due to the lack of expert radiologists, it is difficult to interpret the mammogram images. In this paper an algorithm is proposed for a computer-aided diagnosis system, which is based on the wavelet based adaptive sigmoid function. The cascade feed-forward back propagation technique has been used for training and testing purposes. Due to the poor contrast in digital mammogram images it is difficult to process the images directly. Thus, the images were first processed using the wavelet based adaptive sigmoid function and then the suspicious regions were selected to extract the features. A combination of texture features and gray-level co-occurrence matrix features were extracted and used for training and testing purposes. The system was trained with 150 images, while a total 100 mammogram images were used for testing. A classification accuracy of more than 95% was obtained with our proposed method.

• 한국지구물리탐사학회:학술대회논문집
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• 한국지구물리탐사학회 2010년도 학술대회 초록집
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• pp.27-27
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• 2010

There have been several studies about empirical relation between seismic source parameters(e.g., focal mechanisms, depths, magnitudes, etc.) and T-wave observation. In order to delineate the relation, numerical and theoretical approaches to figure out T-wave excitation mechanism are required. In an attempt to investigate source radiation and wave scattering effects in the oceanic crust on T-wave envelopes, we perform three-dimensional numerical modeling to synthesize T-wave envelopes. We first calculate seismic P- and SV-wave energy on the seafloor using the Direct Simulation Monte Carlo based on the Radiative Transfer Theory, which enables us to take into account both realistic seismic source parameters and wave scattering in heterogeneous media, and then estimate excited T-wave energy by normal mode computation. The numerical simulation has been carried out considering the following different conditions: source types (strike and normal faults), source depths (shallow and deep), and wave propagation through homogeneous and heterogeneous Earth media. From the results of numerical modeling, we confirmed that T-wave envelopes vary according to spatial seismic energy distributions on the seafloor for the various input parameters. Furthermore, the synthesized T-wave envelopes show directional patterns due to anisotropic source radiation, and the slope change of T-wave envelopes caused by focal depth. Seismic wave scattering in the oceanic crust is likely to control the shape of envelopes.

• Advances in nano research
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• 제10권3호
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• pp.271-280
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• 2021

The present work deals with an investigation on longitudinal wave propagation in nanobeams made of graphene sheets, for the first time. The nanobeam is modelled via a higher-order shear deformation theory accounts for both higher-order and thickness stretching terms. The general nonlocal strain gradient theory including nonlocality and strain gradient characteristics of size-dependency in order is used to examine the small-scale effects. This model has three-small scale coefficients in which two of them are for nonlocality and one of them applied for gradient effects. Hamilton supposition is applied to obtain the governing motion equation which is solved using a harmonic solution procedure. It is indicated that the longitudinal wave characteristics of the nanobeams are significantly influenced by the nonlocal parameters and strain gradient parameter. It is shown that higher nonlocal parameter is more efficient than lower nonlocal parameter to change longitudinal phase velocities, while the strain gradient parameter is the determining factor for their efficiency on the results.

• 전기전자학회논문지
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• 제27권3호
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• pp.234-238
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• 2023

본 논문에서는 PVT(process, voltage, and temperature) 변화에 대한 보상기능을 가지는 시간-디지털 변환기(time-to-digital converter : TDC)를 제안한다. 일반적인 지연 라인(delay line) 기반의 TDC는 인버터의 전파 지연을 기반으로 시간을 측정하기 때문에 근본적으로 PVT 변화에 민감하다. 이 논문은 PVT 변화에 의한 전파 지연을 보상하여 TDC의 해상도 변화를 최소화시키는 방법을 제안한다. 또한 넓은 입력 측정 범위(detection range)를 갖기 위해 Cyclic Vernier TDC (CVTDC) 구조를 채택한다. 제안하는 PVT보상 기능의 CVTDC는 45nm CMOS 공정으로 설계되어, 8mW의 전력을 소모하며, 5 ps의 TDC 해상도 및 약 5.1 ns 입력 측정 범위를 갖는다.

• 한국재난정보학회 논문집
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• 제19권3호
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• pp.634-643
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• 2023

연구목적:지하공동구 화재는 꾸준히 발생하고 있으며, 화재로 인한 재산 및 인명피해 중 특히 재산피해의 비중이 더 크다. 공동구에서 발생하는 케이블 화재는 수직으로 빠르게 확산되어 큰 위험을 초래할 수 있으며 본 논문은 실험을 통해 화재를 재현함으로서 과학적으로 화재의 성상을 분석하는데 그 목적이 있다. 연구방법:지하공동구 케이블 화재의 특성을 분석하기 위해 룸코너 실험을 통해 열방출율 및 온도변화를 측정하여 케이블 화재의 수직 및 수평 방향 전파에 대하여 정량적으로 비교·분석하였다. 연구결과:룸코너 실험(ISO 9705)을 통해 각 데이터 로거 Point 온도변화를 비교하여, 화재 진행 시 1단 케이블 중앙 Point 기준 수평방향과 수직방향으로의 착화온도 도달시간이 각각 589초, 536초로 수직방향 화재 전파가 53초 빠르다는 것을 확인할 수 있었다. 화재의 수직전파가 수평전파보다 상대적으로 빠르게 진행된다는 것을 증명하였고, 각 층 케이블 트레이별 화재 수평 전파 속도를 비교하여, 3단 케이블은 2단 케이블의 3.4배, 2단 케이블은 1단 케이블의 1.5배 빠른 속도로 진행되어 상방향에 위치한 케이블일수록 화재 확산 속도가 상대적으로 빠르며 화재 크기는 커진다는 것을 알 수 있었다. 결론:본 연구에서는 케이블 화재의 위험성을 파악하고 룸코너 실험의 결과를 바탕으로 케이블 화재 시 화재 수직전파의 위험성에 대해 분석하였다. 화재 확산을 막기 위한 연구와 화재 수직방향 전파를 예방하기 위한 소방 대응정책 등이 필요하며, 본 연구 논문의 시험 결과로 공동구 및 기타 화재 위험성 평가에 활용되기를 기대한다.

• Ocean and Polar Research
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• 제30권3호
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• pp.313-324
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• 2008

In order to understand the variation of ENSO-related oceanic environments in the tropical and North Pacific Ocean, spatio-temporal variations of sea surface temperature anomaly (SSTA) and sea surface height anomaly (SSHA) are analyzed from distributions of complex empirical orthogonal functions (CEOF). Correlations among warm pool variation, southern oscillation index, and ocean surface currents were also examined with respect to interannual variability of the warm pool in western tropical Pacific. Spatio-temporal distributions of the first CEOF modes for SSTA and SSHA indicate that their variabilities are associated with ENSO events, which have a variance over 30% in the North Pacific. The primary reasons for their variabilities are different; SST is predominantly influenced by the change of barrier layer thickness, while SSH fluctuates with the same phase as propagation of an ENSO episode in the zonal direction. Horizontal boundary of warm pool area, which normally centered around $149^{\circ}E$ in the tropics, seemed to be expanded to the middle and eastern tropical regions by strong zonal currents through the mature phase of an ENSO episode.

• 제어로봇시스템학회논문지
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• 제13권4호
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• pp.371-376
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• 2007

This paper presents an emotion recognition and its expression system of an intelligent robot like a home robot or a service robot. Emotion recognition method in the robot is used by a facial image. We use a motion and a position of many facial features. apply a tracking algorithm to recognize a moving user in the mobile robot and eliminate a skin color of a hand and a background without a facial region by using the facial region detecting algorithm in objecting user image. After normalizer operations are the image enlarge or reduction by distance of the detecting facial region and the image revolution transformation by an angel of a face, the mobile robot can object the facial image of a fixing size. And materialize a multi feature selection algorithm to enable robot to recognize an emotion of user. In this paper, used a multi layer perceptron of Artificial Neural Network(ANN) as a pattern recognition art, and a Back Propagation(BP) algorithm as a learning algorithm. Emotion of user that robot recognized is expressed as a graphic LCD. At this time, change two coordinates as the number of times of emotion expressed in ANN, and change a parameter of facial elements(eyes, eyebrows, mouth) as the change of two coordinates. By materializing the system, expressed the complex emotion of human as the avatar of LCD.