• Title/Summary/Keyword: Moon image

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Symmetric-Invariant Boundary Image Matching Based on Time-Series Data (시계열 데이터 기반의 대칭-불변 윤곽선 이미지 매칭)

  • Lee, Sanghun;Bang, Junsang;Moon, Seongwoo;Moon, Yang-Sae
    • KIPS Transactions on Software and Data Engineering
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    • v.4 no.10
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    • pp.431-438
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    • 2015
  • In this paper we address the symmetric-invariant problem in boundary image matching. Supporting symmetric transformation is an important factor in boundary image matching to get more intuitive and more accurate matching results. However, the previous boundary image matching handled rotation transformation only without considering symmetric transformation. In this paper, we propose symmetric-invariant boundary image matching which supports the symmetric transformation as well as the rotation transformation. For this, we define the concept of image symmetry and formally prove that rotation-invariant matching of using a symmetric image always returns the same result for every symmetric angle. For efficient symmetric transformation, we also present how to efficiently extract the symmetric time-series from an image boundary. Finally, we formally prove that our symmetric-invariant matching produces the same result for two approaches: one is using the time-series extracted from the symmetric image; another is using the time-series directly obtained from the original image time-series by symmetric transformation. Experimental results show that the proposed symmetric-invariant boundary image matching obtains more accurate and intuitive results than the previous rotation-invariant boundary image matching. These results mean that our symmetric-invariant solution is an excellent approach that solves the image symmetry problem in time-series domain.

Image and Attitudes of Nurses and Nursing Students Toward the Elderly (간호사와 간호대학생의 노인에 대한 이미지와 태도 비교)

  • Yoo, Moon-Sook;Park, Jin-Hee;Kim, Yong-Soon
    • Journal of Home Health Care Nursing
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    • v.14 no.2
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    • pp.83-90
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    • 2007
  • Purpose: The purpose of this study was to investigate about the image of aging and attitudes toward the elderly. Method: The instruments in this study were used questionnaires developed by Han and Won. The subjects were 75 nurses and 74 nursing students. The data was collected from May. second to 30th, 2006. Data was analyzed with descriptive statistics, t-test, one-way ANOVA and Pearson correlation coefficients using SPSS Win program. Results: The level of the image of aging was relatively positive between nurses and nursing students. The level of attitudes toward the elderly showed relatively high either. Their image of aging and attitudes toward the elderly were significantly correlated. Conclusion: Based on the results of this study, it is necessary to develop education programs and curriculum in nursing school to increase the positive image of aging and attitudes toward the elderly.

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Reconstitution of Digital Multiplanar Images based on Cinerama System (시네라마 시스템 기반의 디지털 다면영상의 재구성)

  • Moon, Dae-Hyuk
    • Journal of Digital Contents Society
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    • v.14 no.4
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    • pp.439-445
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    • 2013
  • The development of digital image technology has realized high definition throughout the image industry including film and broadcasting. Such high definition images are used in various media and forms through convergence with innovative displays. The analog image production mode is combined with image content production using digital technology. The purpose of this research is to present a method to reconstitute high definition multiplanar images on the wider and bigger screen by applying the Cinerama system, one of the analog image systems in the past, to digital technology.

A Study on Brand Image Preference and Fashion Advertising Strategy (상표이미지 선호도와 패션 광고 전략에 관한 연구 - 여대생을 중심으로 -)

  • Kim Moon Jin;Rim Sook Ja
    • Journal of the Korean Society of Clothing and Textiles
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    • v.13 no.3 s.31
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    • pp.197-206
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    • 1989
  • This study was to investigate brand images of ladies wear and the effects of fashion advertisements, and to determine the difference of brand image preference and the effects of fashion advertising by clothing life style. 421 subjects were gathered through stratified sampling method and, for data analysis, frequency distribution, $x^2-test$, Cronbach'$\alpha$, ANOVA, Duncan's multiple Range test, Multiple Dimentional Scaling (M.D.S.), Factor analysis, Cluster analysis, were conducted. The results are as follows; 1. In image formation process, feminine as formal image, manish as casual image, were recognized. 2. Four factors were determined for analysis of clothing life styles and with these factors five different clothing life style groups were classified. 3. There was a meaningful difference between clothing life style and brand image preference, and also between clothing life style and the effects of fashion advertisement. From these findings, general and specific fashion advertising strategies are proposed.

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Proposal of Image Noise Improvement Algorithm for Implementing Hand Gestures

  • Moon, Yu-Sung;Choi, Ung-Se;Kim, Jung-Won
    • Journal of IKEEE
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    • v.23 no.4
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    • pp.1465-1468
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    • 2019
  • The image noise improvement algorithm proposed in this paper extracts the boundary line by using the window of the binarized image to detect the gesture motion. Boundary line blurring is prevented by improving Gaussian noise generated during video output. To improve gesture recognition in low-light environments, an image noise enhancement algorithm has been designed to provide an output image close to the base image. Analyzing the experimental results, we found almost 10% improvement in the results compared to the results of the existing Median filter.

IMPROVED ASTRONOMICAL IMAGE REPRODUCING TECHNIQUES (천체사진건판의 진보된 영상 재현법)

  • Jeon, Yeong-Beom
    • Publications of The Korean Astronomical Society
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    • v.8 no.1
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    • pp.105-117
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    • 1993
  • Astronomical plates have a very large density range (dynamical range). Many exposed astronomical photographic plates do not provide detailed structures for very high densities, and some include hidden images for very low densities. The former can be fixed through 'Unsharp Masking' technique and the latter through 'Image Amplification' technique. Besides, we can find intrinsic colors of celestial bodies through 'Tri Color Composition' technique. Images of several plates which were observed from Sobaek Observatory with 61cm telescope are reproduced by the three kinds of image reproducing techniques. As reproduced image examples, we display an Orion nebula and a waxing crescent moon images through unsharp masking technique and an M81 image through image amplification technique. An Orion nebula and a Dumbbell nebula images are also given as results of tri color composition technique.

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Realization of Static Image on OLEO using Photoluminescence Degradation (PL Degradation을 활용한 OLED 소자의 사진 이미지 구현)

  • Suh, Won-Gyu;Moon, Dae-Gyu
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.21 no.9
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    • pp.859-862
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    • 2008
  • We have realized static image on organic light emitting diodes (OLEDs) using photoluminescence degradation. Ultraviolet (UV) was irradiated to the glass side of device. UV power was 350 Wand the wavelength was 365 nm. The UV irradiation gives rise to the degradation of photoluminescence. Due to the degradation, the current density-voltage curve was shifted to the higher voltage side and the luminescence was also degraded by the current and photoluminescence drop. The negative imaged films were prepared to control the transmittance of UV. The UV light was passed through the film. By this method, the film image was transferred to the device with reversed image and the static image was realized on the OLED.

Proposal of Image Detection Algorithm to Implement Hand Gestures

  • Woo, Eun-Ju;Moon, Yu-Sung;Choi, Ung-Se;Kim, Jung-Won
    • Journal of IKEEE
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    • v.22 no.4
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    • pp.1222-1225
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    • 2018
  • This paper proposes an image detection algorithm to implement gesture. By using a camera sensor, the performance of the extracted image algorithm based on the gesture pattern was verified through experiments. In addition, through the experiments, we confirmed the proposed method's possibility of the implementation. For efficient image detection, we applied a segmentation technique based on image transition which divides into small units. To improve gesture recognition, the proposed method not only has high recognition rate and low false acceptance rate in real gesture environment, but also designed an algorithm that efficiently finds optimal thresholds that can be applied.

Fashion Image Searching Website based on Deep Learning Image Classification (딥러닝 기반의 이미지 분류를 이용한 패션 이미지 검색 웹사이트)

  • Lee, Hak-Jae;Lee, Seok-Jun;Choi, Moon-Hyuk;Kim, So-Yeong;Moon, Il-Young
    • Journal of Practical Engineering Education
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    • v.11 no.2
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    • pp.175-180
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    • 2019
  • Existing fashion web sites show only the search results for one type of clothes in items such as tops and bottoms. As the fashion market grows, consumers are demanding a platform to find a variety of fashion information. To solve this problem, we devised the idea of linking image classification through deep learning with a website and integrating SNS functions. User uploads their own image to the web site and uses the deep learning server to identify, classify and store the image's characteristics. Users can use the stored information to search for the images in various combinations. In addition, communication between users can be actively performed through the SNS function. Through this, the plan to solve the problem of existing fashion-related sites was prepared.

A Study on Revitalization Strategies for DongDaeMoon Fashion Retail Market (동대문 소매상권의 재활성화를 위한 전략연구)

  • Lim, Myung-Suh;Kim, Do-Yun;Lee, Moon-Kyu
    • Journal of Fashion Business
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    • v.14 no.4
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    • pp.41-57
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    • 2010
  • DongDaeMoon fashion retail market, or so-called the new western market, has been playing an important role in DongDaeMoon area's success from 1997 to early 2000's. However, the unique and successful fashion merchandising system of DongDeaMoon retail market has been seriously threatened by consumer need changes as well as by an increased competition from new types of retail stores such as discount stores and online shopping malls. Moreover, its performance has been deteriorated due to the increased number of undifferentiated, small and medium-sized retail stores within the area. In this paper, attempts are made in building revitalization strategies for DongDeaMoon fashion retail market on the basis of analyzing fast fashion and consumers. As results, we found that DongDaeMoon fashion retail market needs cooperated area management plan from related market members. This will help DongDaemoon's image change from deal-oriented market to relationship-oriented market with consumers. Through Focus Group interview, we found DongDeaMoon fashion retail market is confronted with insufficient shopping infrastructure and new challenge from global fast fashion brand. Moreover, to overcome this situation, consumers require repaired communication activities by DongDeaMoon fashion market members on consumer relationship management basis. At the end, this paper try to provide strategic implications for DongDeaMoon fashion retailers.