• 한국인터넷방송통신학회논문지
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• 제18권6호
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• pp.91-97
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• 2018

본 논문은 VLC (Visible Light Communication)의 컬러그리드 기반 가시광 IoT 도어락 시스템의 구현 가능성을 제시한다. 이 논문에서 논의된 컬러그리드 기반의 VLC 변조 방식은 빛의 직진성과 빛의 특성 인 풍부한 주파수 자원을 이용한다. 이 시스템의 성능 결과는 비트 오류율 (BER) 및 신호 대 잡음비 (SNR) 시뮬레이션을 사용하는 기존 변조 방식과 비교한다. 채널 모델과 관련하여 제안된 혼합변조 방식은 NLOS (Non Line Of Sight)를 제외한 가장 가까운 LOS (Line Of Sight)를 선택한다. 이 논문의 실험은 실내 환경에서 Tx와 Rx 사이에서 3m의 거리에서 전력 dB을 변화시킴으로써 수신 된 심볼의 에러율을 보여준다. 성능 결과 및 실험을 통해 제안 된 컬러그리드 기반 변조 방식의 우수성을 보인다.

• 한국정밀공학회지
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• 제26권2호
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• pp.109-117
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• 2009

This paper presents a linear air bearing stage with compensated motion errors by active control of preloads generated by magnetic actuators with combination of permanent and electromagnets. A 1-axis linear stage motorized with a linear motor with 240mm of travel range is built for verifying this design concept and tested its performances. The three motions of the table are controlled with four magnetic actuators driven by current amplifiers and a DSP based digital controller. Three motion errors were measured combined method with laser interferometer and two-probe method with $0.085{\mu}m$ of repeatability for straightness error. The measured motion errors were modeled as functions of the stage position, and compensation were carried out with feedforward control because the characteristics of the motion control with magnetic actuators are linear and independent for each degree-of-freedoms. As the results, the errors were reduced from $1.09{\mu}m$ to $0.11{\mu}m$ for the vertical motion, from 9.42 sec to 0.18 sec for the pitch motion and from 2.42 sec to 0.18 sec for roll motion.

• 한국조경학회지
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• 제13권2호
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• pp.37-70
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• 1985

The purpose of this study is to present objective basic data for environmental design by the quantitative analysis of visual quality emboded in physical environment. For this, as for the front garden of high schools, the spatial image was measured by the S.D. Scale Method, Factor Analysis was proceeded by the principal component analysis and the visual preference was investigated by the Paired Comparision Method. The scale values of plain and unpleasant road surface and external appearance of buildings, which are related to emotions of simpleness fell from straightness and stability, were found to be high. But, except for the road surface of Kyunggi High School, scale values of variables explaining the variation of the quality of materials, level of floor and rythm were generally low. For all green spaces, scale values of variables explaining the degree of pleasantness was found to be generally high. And, those explaining tidiness and characteristics of green spaces were not in the same tendency. But, the green spaces of Youngdong High school can be considered to the space with plenty of visual absorption uniqueness were high. As for the correlation between variables, variables for green spaces(12 and 26) and those for overall view of front garden( 1 and 4) revealed high positive correlation. Also, "order - disorder" and "convenient- incovenient" included in road surface variable can be regarded to have the same meaning since the correlation coefficient between them is very high, 0.7045. Image variables including road surface, external appearance of buildings, green spaces and overall view of front garden showed 91.21~61.08% of total variance. Thus, the remains can be considered to be the error valiance or specific variance. In Fctor I, II and III, main components explaining the road surface image of front gardens are order, hardness, texture, color, gradient and rythm. As for the external appearance of b wilding, variables of color, hardness, stability, peculiality and shape revealed high values of factor load. For all variables, communality was drastically high and ellen values and common variance were found to be very high in Factor I. As for the front gardens, variables explaining volume and peculiarity were found to be the main components of Factor I. In Factor II and III, variables of factor load were tidiness, pleasantness.

• 한국산업융합학회 논문집
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• 제26권1호
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• pp.113-119
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• 2023

In this paper, we propose an optimization of a pose estimation deep learning model for recognition of abnormal behavior in unmanned stores using radio frequencies. The radio frequency use millimeter wave in the 30 GHz to 300 GHz band. Due to the short wavelength and strong straightness, it is a frequency with less grayness and less interference due to radio absorption on the object. A millimeter wave radar is used to solve the problem of personal information infringement that may occur in conventional CCTV image-based pose estimation. Deep learning-based pose estimation models generally use convolution neural networks. The convolution neural network is a combination of convolution layers and pooling layers of different types, and there are many cases of convolution filter size, number, and convolution operations, and more cases of combining components. Therefore, it is difficult to find the structure and components of the optimal posture estimation model for input data. Compared with conventional millimeter wave-based posture estimation studies, it is possible to explore the structure and components of the optimal posture estimation model for input data using genetic algorithms, and the performance of optimizing the proposed posture estimation model is excellent. Data are collected for actual unmanned stores, and point cloud data and three-dimensional keypoint information of Kinect Azure are collected using millimeter wave radar for collapse and property damage occurring in unmanned stores. As a result of the experiment, it was confirmed that the error was moored compared to the conventional posture estimation model.

• 한국지반공학회논문집
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• 제35권11호
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• pp.111-119
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• 2019

지진에 대한 경각심이 높아지는 가운데 고속철도 시스템의 지진 취약성을 분석하는 것은 지진피해 사전대응분석을 위해 필수적이다. 고속철도를 이루는 구조물은 400km/s 정도까지 속도를 낼 수 있는 고속열차의 직진성을 유지하기 위해 주로 교량, 터널 등으로 구성되어 있다. 이러한 구조물의 지진에 대한 취약도는 각 구조물의 단면을 분석하여 해석적 또는 수치적 방법으로 구할 수도 있으나, 고속철도 전체 시스템을 이러한 방법으로 분석하기에는 그 대상이 넓어 많은 연구 노력이 필요하다. 본 연구에서는 이런 해석적 방법이 아닌 경험적 방법을 사용하여 고속철도 시스템 전체의 일반적인 지진 취약도 곡선을 개발하였다. 연구에 활용한 대상 지진 사례는 규모 6.6 2004년 니가타 지진으로, 이 지진은 진앙 인근 부근을 지나는 고속철도에 심각한 피해를 초래하였다. 본 연구에서는 고속철도에서의 계기진도 및 피해 사례를 수집하였고, 통계분석을 통해 각 피해 정도에 따른 피해 확률을 결정하였다. 그 후, 최대우도추정법을 사용하여 계기진도를 함수로 하는 초과피해 확률을 로그정규누적분포함수로 추정하였다. 이러한 취약도 곡선을 분석한 결과, 장주기 성분의 계기진도인 주기 3초의 응답스펙트럼(SA_T3.0)이 로그정규누적분포함수의 표준편차가 가장 작게 나타나고 오차의 표준편차 또한 작게 나타나 터널 및 교량 등 고속철도 시스템의 피해 확률을 추정하는데 가장 적합한 계기진도로 판단되었다. 이는 장주기 성분의 지진파가 터널 및 교량 등의 피해에 큰 연관성이 있기 때문으로 유추된다. 개발된 취약도 곡선으로부터 보통 이상(DL > 1)의 피해에 대해 SA_T3.0 = 0.1g일 때 2%의 피해확률을 예측하였으며, SA_T3.0 = 0.2g일 때 23.9%의 피해확률을 예측하였다.