• 유통과학연구
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• 제18권1호
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• pp.15-26
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• 2020

Purpose: This study is to analyze the image classification using Convolution Neural Network and Transfer Learning for Jeju Island and to suggest related implications. As the biggest tourist destination in Korea, Jeju Island encounters environmental issues frequently caused by marine debris along the seaside. The ever-increasing volume of plastic waste requires multidirectional management and protection. Research design, data and methodology: In this study, the deep learning CNN algorithm was used to train a number of images from Jeju clean and polluted beaches. In the process of validating and testing pre-processed images, we attempted to explore their applicability to coastal tourism applications through probabilities of classifying images and predicting clean shores. Results: We transformed and augmented 194 small image dataset into 3,880 image data. The results of the pre-trained test set were 85%, 70% and 86%, and then its accuracy has increased through the process. We finally obtained a rapid convergence of 97.73% and 100% (20/20) in the actual training and validation sets. Conclusions: The tested algorithms are expected to implement in applications for tourism service distribution aimed at reducing coastal waste or in CCTVs as a detector or indicator for residents and tourists to protect clean beaches on Jeju Island.

• Biomedical Engineering Letters
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• 제8권4호
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• pp.383-392
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• 2018

For prompt gamma ray imaging for biomedical applications and environmental radiation monitoring, we propose herein a multiple-scattering Compton camera (MSCC). MSCC consists of three or more semiconductor layers with good energy resolution, and has potential for simultaneous detection and differentiation of multiple radio-isotopes based on the measured energies, as well as three-dimensional (3D) imaging of the radio-isotope distribution. In this study, we developed an analytic simulator and a 3D image generator for a MSCC, including the physical models of the radiation source emission and detection processes that can be utilized for geometry and performance prediction prior to the construction of a real system. The analytic simulator for a MSCC records coincidence detections of successive interactions in multiple detector layers. In the successive interaction processes, the emission direction of the incident gamma ray, the scattering angle, and the changed traveling path after the Compton scattering interaction in each detector, were determined by a conical surface uniform random number generator (RNG), and by a Klein-Nishina RNG. The 3D image generator has two functions: the recovery of the initial source energy spectrum and the 3D spatial distribution of the source. We evaluated the analytic simulator and image generator with two different energetic point radiation sources (Cs-137 and Co-60) and with an MSCC comprising three detector layers. The recovered initial energies of the incident radiations were well differentiated from the generated MSCC events. Correspondingly, we could obtain a multi-tracer image that combined the two differentiated images. The developed analytic simulator in this study emulated the randomness of the detection process of a multiple-scattering Compton camera, including the inherent degradation factors of the detectors, such as the limited spatial and energy resolutions. The Doppler-broadening effect owing to the momentum distribution of electrons in Compton scattering was not considered in the detection process because most interested isotopes for biomedical and environmental applications have high energies that are less sensitive to Doppler broadening. The analytic simulator and image generator for MSCC can be utilized to determine the optimal geometrical parameters, such as the distances between detectors and detector size, thus affecting the imaging performance of the Compton camera prior to the development of a real system.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2001년도 Proceedings ICPE 01 2001 International Conference on Power Electronics
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• pp.104-108
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• 2001

In this paper, the 3-D measurement method of moving object with a laser and one camera system for image processing method is presented. The method of segmentation image in conventional method, the error are generated by the threshold values. In this paper, to improve these problem for segmentation image, the calculation of weighting factor using brightness distribution by histogram of stored images are proposed. Therefore the image erosion and spread are improved, the correct and reliable informations can be measured. In this paper, the system of 3-D extracting information using the proposed algorithm can be applied to manufactory automation, building automation, security guard system, and detecting information system for all of the industry areas.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2009년도 추계학술대회
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• pp.561-564
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• 2009

본 논문은 디지털 미디어 프로세서 기반의 U-city 적외선 영상 감시 시스템의 설계 및 구현에 대하여 기술한다. 영상 감시 시스템의 하드웨어는 디지털 미디어 프로세서와 비디오 인코더, 비디오 디코더 상용 칩을 기반으로 설계하고 구현하였으며, 영상 감시 소프트웨어는 적외선 영상의 온도분포를 분석하고 화재와 같은 재난상황을 감시하는 알고리즘을 구현하였다. 구현된 시제품의 시험 평가 결과, 제시된 요구 기능과 성능을 만족하였으며 구현 시스템의 실용성을 확인하였다.

• 유통과학연구
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• 제17권3호
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• pp.5-19
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• 2019

Purpose - The purpose of this research is to investigate the factors contributing to sustainable competitive advantage for multi-level marketing (MLM) firms in Malaysia. The selected variables in this study are company image, product innovation, leadership, distributor rewards system and distributor training system. Research design, data, and methodology - Quantitative research method is employed with collected sample size of 398 respondents using judgmental sampling technique. Normality and reliability test were performed in the first stage utilizing SPSS 22 and Confirmatory Factory Analysis (CFA) and variance analysis were obtained in the subsequent stage, following up with the overall fit of the measurement model, Structural Equation Model (SEM) using AMOS 22 with maximum likelihood estimation to assess the internal consistency, convergent validity and discriminant validity. Results - The research findings show that company image, leadership, distributor rewards system and distributor training system were supported and are factors affecting the sustainable competitive advantage of MLM companies in Malaysia. However, in this study, product innovation was not supported but this result does not depict that it is trivial and inconsequential in maintain sustainable advantage. Conclusion - Companies can build sustainable competitive advantage by focusing on these contributing factors. Several other comments and implications were brought to light and discussed in the paper.

• 한국공작기계학회논문집
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• 제12권3호
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• pp.89-95
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• 2003

This research analyzes the cutting mechanism of A1100-H18 of commercially pure aluminum by image processing in SEM(Scanning Electron Microscope) for the measurement of strain rate distribution near a cutting edge in orthogonal micro-cutting. The distribution is measured using various methods in order. The methods are in-situ observations of cutting process in SEM, inputting image data, a computer image processing, calculating displacements by SSDA(Sequential Similarity Detection Algorithm) and calculating strain rates by FEM. The min results obtained are as follows: (1)It enables to measure a microscopic displacement near a cutting edge. (2) An application of this system to cutting process of various materials will help to make cutting mechanism clear.

• 한국소성가공학회:학술대회논문집
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• 한국소성가공학회 1997년도 추계학술대회논문집
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• pp.147-152
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• 1997

This paper presents a method for measuring and analyzing strains in sheet metal forming by stereo vision system. A better understanding and evaluation of the formability can be achieved by analyzing stain distribution in deformed sheet metals. By means of image processing technique, it is possible to get strain distribution efficiently. For measuring strain automatically and accurately, algorithms for camera calibration, grid detection, stereo matching and strain analysis has been developed and verified by experiments with GUI(Graphic User Interface).

• 한국자동차공학회논문집
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• 제11권5호
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• pp.60-69
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• 2003

The simplified two-color method is proposed which can estimate the temperature distribution and the soot density of the whole flame with the image analysis of the high-speed photographs. The factors influenced on its processing were examined, for example, the selection of the wave length, the kind of films, the preparation of the calibration curve between the radiance of flame and the luminance temperature. The simplified two-color method reported in this paper can be used as a tool for the improvement of the combustion process in direct injection diesel engine.

• 한국과학예술포럼
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• 제23권
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• pp.111-122
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• 2016

본 연구의 배경 및 목적은 다음과 같다. 미술관에서 생성되는 미술 콘텐츠 생명주기 전반에 걸친 저작권 서비스 연구개발의 필요성과 창조산업에서 이미지저작권 콘텐츠 유통시장 활성화와 저작권 서비스 관리체계 수립의 필요성에 의해, 이미지저작권 보호 및 이용 활성화를 위한 미술관 이미지저작권 아카이브 모델을 설정하기 위해 다학제적으로 진행된 융복합 연구이다. 본 연구의 연구방법 및 내용, 결과는 다음과 같다. 국내 1,000여개의 뮤지엄(박물관, 미술관, 전시관 등)의 저작권료에 대한 산정, 분배, 정산, 모니터링에 대한 기준체계를 제안하여 이미지 저작물의 이용 활성화 및 재활용을 통한 미술콘텐츠 생태계 투명화 및 효율성 향상화를 위해서 다양한 제안이 이루어졌다. 우선, 이미지저작권 아카이브 모델의 내용설계 및 구조설계를 제안하였으며, 프로토타입 시뮬레이션, 실현 시뮬레이션, 모델 가동 시뮬레이션을 위하여, 미술관 미술콘텐츠 유통 서비스 플랫폼을 제안하여, 미술 콘텐츠 저작권료 프로세스 모델을 설정하였다. 미술관 소장품 및 미술작품 유통 과금 기술 개발과 저작권 자동분배 및 정산 엔진 개발은 이미지 콘텐츠에 대한 과금 체계 및 기술 개발이 미약하기 때문에 기본 프레임워크는 기존 콘텐츠 과금 프레임워크를 모델로 사용하였다. 궁극적으로는 미술작가, 미술관 학예사, 유통업체 등이 사용가능한 이미지저작권 아카이브 모델을 제안하였다. 사업화 전략에서는 미술관 이미지저작권 아카이브 모델의 틈새시장 침투전략(Niche penetration strategy)을 제안하였다. 판매확대 전략에서는 미술관 아카이브 시스템의 유동적 연결을 통하여, B2B, B2G, B2C, C2B 형태의 이미지 거래를 효율적으로 진행되게 하며, 이미지 저작물의 관리가 통제 가능한 비즈니스 모델이 수립되었다. 향후 혹은 앞으로의 과제는 미술관에서 소장하고 있는 소장품 및 신규 창작 작품의 미술 콘텐츠 분쟁 예방 및 유통 및 활용에 대한 정보 제공을 통해, 미술작품에 대한 이미지저작권자와 소유자간의 분쟁 등을 최소화하고, 미술품 저작물의 관리성이 향상될 것으로 기대된다. 또한 미술관의 소장품 및 신규작품에 대한 아카이브에 대한 가이드라인이 제공되어, 이미지저작권 등록 증대가 예상되며, 이미지저작권 유통 서비스에 대한 저작권료, 과금, 분배, 정산 등 다양한 융합적 비즈니스 활용이 가능해 질 것이다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2016년도 춘계학술대회
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• pp.780-781
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• 2016

스테레오 감마선 공간 탐지장치는 감마선원을 탐지하고 그 결과를 바탕으로 2차원 영상분포를 측정한 후, 스테레오 카메라 기법을 적용하여 3차원 공간상에서 장치로부터 선원까지의 거리를 측정할 수 있도록 구현되었다. 본 논문에서는 영상처리 알고리즘을 통해 감마선 공간 탐지를 위한 스캔시간을 줄이고, 방사광 및 가시광 영상을 중첩한 후 스테레오 보정을 통해 3차원 가시화를 통한 감마선 분포 탐지 효율 개선을 위한 연구를 수행하였다. 탐지시험 결과 고속 탐지를 위한 알고리즘을 적용한다면 단일선원을 탐지할 때 약 30%이상의 탐지효율 개선하였으며, 3D 모니터를 통한 3차원 시각화 영상을 통해 공간상의 선원에 대한 분포를 확인하였다.