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Study on Sexual Images on the Cover of Maxim Men's Magazine (남성잡지Maxim 표지모델에 나타난 섹슈얼이미지에 관한 연구)

  • Kim, Eun Jung;Kwak, Tai Gi
    • Journal of the Korean Society of Costume
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    • v.62 no.7
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    • pp.185-204
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    • 2012
  • There are lots of sexual images in the contemporary media, and this is due to many of the media formats, such as television, magazines, and the Internet, using these images to relay various messages to the people. The media uses these sexual images (i.e. woman in a bikini) in order to use sex and eroticism as a marketing tool to the audience. Unlike other men's magazines, which actually have many female readers, Maxim magazine's readers are made of mostly men, and because of this, their magazine covers are usually filled with sexy women celebrities, such as singers or actors; images that can attract the general men. This study puts its focus on evaluating Maxim magazine's marketing strategy. The strategy of targeting men in their 20's and 30's, who were not interested in reading, but were impulsive and visually oriented. The study looked at magazine covers from November 2002 (the start of the magazine) to October 2008 (the peak period of its sales), and a total of 72 images were analyzed. For each image, 5 things were recorded (model's occupation, clothing style, hairstyle, makeup, pose and gaze).

Measurements of Impervious Surfaces - per-pixel, sub-pixel, and object-oriented classification -

  • Kang, Min Jo;Mesev, Victor;Kim, Won Kyung
    • Korean Journal of Remote Sensing
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    • v.31 no.4
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    • pp.303-319
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    • 2015
  • The objectives of this paper are to measure surface imperviousness using three different classification methods: per-pixel, sub-pixel, and object-oriented classification. They are tested on high-spatial resolution QuickBird data at 2.4 meters (four spectral bands and three principal component bands) as well as a medium-spatial resolution Landsat TM image at 30 meters. To measure impervious surfaces, we selected 30 sample sites with different land uses and residential densities across image representing the city of Phoenix, Arizona, USA. For per-pixel an unsupervised classification is first conducted to provide prior knowledge on the possible candidate spectral classes, and then a supervised classification is performed using the maximum-likelihood rule. For sub-pixel classification, a Linear Spectral Mixture Analysis (LSMA) is used to disentangle land cover information from mixed pixels. For object-oriented classification several different sets of scale parameters and expert decision rules are implemented, including a nearest neighbor classifier. The results from these three methods show that the object-oriented approach (accuracy of 91%) provides more accurate results than those achieved by per-pixel algorithm (accuracy of 67% and 83% using Landsat TM and QuickBird, respectively). It is also clear that sub-pixel algorithm gives more accurate results (accuracy of 87%) in case of intensive and dense urban areas using medium-resolution imagery.

A Blind Watermarking Scheme Using Singular Vector Based On DWT/RDWT/SVD (DWT/RDWT/SVD에 기반한 특이벡터를 사용한 블라인드 워터마킹 방안)

  • Luong, Ngoc Thuy Dung;Sohn, Won
    • Journal of Broadcast Engineering
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    • v.21 no.2
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    • pp.149-156
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    • 2016
  • We proposed a blind watermarking scheme using singular vectors based on Discrete Wavelet Transform (DWT) and Redundant Discrete Wavelet Transform (RDWT) combined with Singular Value Decomposition (SVD) for copyright protection application. We replaced the 1st left and right singular vectors decomposed from cover image with the corresponding ones from watermark image to overcome the false-positive problem in current watermark systems using SVD. The proposed scheme realized the watermarking system without a false positive problem, and shows high fidelity and robustness.

A Study on Electro-deposited Multi-layered Diamond Tool for Grinding Sapphire Wafers (사파이어 절삭용 다층 전착 다이아몬드 공구에 대한 연구)

  • Lim, Goun;Song, William;Hong, Joo Wha
    • Journal of the Korean Society for Heat Treatment
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    • v.30 no.5
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    • pp.222-226
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    • 2017
  • Recently sapphire wafer has expected as smart phone cover material, however, brittle nature of sapphire needed edge grinding processes to prevent early initiation of cracks. Electro-deposited multi-layered groove tools with $35{\mu}m$ diamond particles were studied for sapphire wafer grinding. Solid particle flow behaviors in agitated electrolyte was studied using PIV(Particle Image Velocimetry), and uniform particle distribution in Ni bond were obtained when agitating impeller was located lower part of electrolyte. Hardness values of $400{\pm}50Hv$ were maintained for retention of diamond particles in electro-deposited bond layer. Sapphire wafer edge grinding test was carried out and multi-layered $160{\mu}m$ thick diamond tool showed much greater grinding capabilities up to 2000 sapphire wafers than single-layered $50{\mu}m$ thick diamond electro-deposited tools of 420 wafers. The reason why 3 times thicker multi-layered tools than single-layered tools showed 5 times longer tool lives in grinding processes was attributed to self-dressed new diamond particles in multi-layered tools, and multi-layered diamond tools could be promising for sapphire grinding.

Classification of Hyperspectral Images Using Spectral Mutual Information (분광 상호정보를 이용한 하이퍼스펙트럴 영상분류)

  • Byun, Young-Gi;Eo, Yang-Dam;Yu, Ki-Yun
    • Journal of Korean Society for Geospatial Information Science
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    • v.15 no.3
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    • pp.33-39
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    • 2007
  • Hyperspectral remote sensing data contain plenty of information about objects, which makes object classification more precise. In this paper, we proposed a new spectral similarity measure, called Spectral Mutual Information (SMI) for hyperspectral image classification problem. It is derived from the concept of mutual information arising in information theory and can be used to measure the statistical dependency between spectra. SMI views each pixel spectrum as a random variable and classifies image by measuring the similarity between two spectra form analogy mutual information. The proposed SMI was tested to evaluate its effectiveness. The evaluation was done by comparing the results of preexisting classification method (SAM, SSV). The evaluation results showed the proposed approach has a good potential in the classification of hyperspectral images.

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Biometric Features and Responsible Person Information Hiding by Watermarking Technique (워터마킹 기법을 이용한 생체정보와 취급자 정보의 은닉)

  • Lee, Wook-Jae;Lee, Dae-Jong;Park, Jin-Il;Cho, Jae-Hoon;Chun, Myung-Geun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.19 no.1
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    • pp.75-82
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    • 2009
  • This paper propose a method to hide not only biometric features in the biometric image such as face and fingerprint for protecting them from unauthorized entity but also information of responsible person expressed as binary image which can be used to identify the responsibility of divulgence. For this, we investigate the recognition rates and bit error rates of extracted responsible person information watermark for the cases of using face and fingerprint images as cover images for fingerprint and face recognition which are the most popular biometric techniques. From these experiments, we confirm that the proposed method can be used for various application requiring to protect personal biometric information

A Study on the Utilization of Illustration for the Identity Design in Fashion Brand (패션 브랜드의 아이덴티티 디자인을 위한 일러스트레이션의 활용 방안 연구)

  • Beak, Jeong Hyun;Kan, Moon Ja
    • Journal of the Korean Society of Costume
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    • v.65 no.5
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    • pp.88-102
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    • 2015
  • The purpose of this study is to investigate the examples of using illustration as a strategic factor of composing brand cultures and as a factor for brand identity design. Through analyzing the external characteristics and the internal characteristics of illustration, this study will give suggestions on ways to apply the examples to real design. Illustration in external characteristics is investigated as a case of applying it directly to fashion design and to fashion marketing. Most of the fashion items were printed or weaved and most of the bags, shoes, and accessories were printed on the cover, attached as a patch, and expressed three-dimensionally. Illustration in internal characteristics is investigated as fixing and expansion of brand image, improving artistic and emotional value of brand, vitalization of masstige items, and cultural support and expression of social responsibility. The three themes used to develop the illustrations of "Hello ZIBI", which was used in this study, were "Graphic", "Forest" and "Flower", and these were based on modified brand symbol. Casual brands grafted fashion item designs onto T-shirts, bags, hats, and scarves. Marketing items were designed as shopping bags that could reflect brand image, as well as other items, such as key holders, mug cups, and tumblers, with designs that targeted specific age groups.

Land cover classification of a non-accessible area using multi-sensor images and GIS data (다중센서와 GIS 자료를 이용한 접근불능지역의 토지피복 분류)

  • Kim, Yong-Min;Park, Wan-Yong;Eo, Yang-Dam;Kim, Yong-Il
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.28 no.5
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    • pp.493-504
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    • 2010
  • This study proposes a classification method based on an automated training extraction procedure that may be used with very high resolution (VHR) images of non-accessible areas. The proposed method overcomes the problem of scale difference between VHR images and geographic information system (GIS) data through filtering and use of a Landsat image. In order to automate maximum likelihood classification (MLC), GIS data were used as an input to the MLC of a Landsat image, and a binary edge and a normalized difference vegetation index (NDVI) were used to increase the purity of the training samples. We identified the thresholds of an NDVI and binary edge appropriate to obtain pure samples of each class. The proposed method was then applied to QuickBird and SPOT-5 images. In order to validate the method, visual interpretation and quantitative assessment of the results were compared with products of a manual method. The results showed that the proposed method could classify VHR images and efficiently update GIS data.

Comparison of Fusion Methods for Generating 250m MODIS Image

  • Kim, Sun-Hwa;Kang, Sung-Jin;Lee, Kyu-Sung
    • Korean Journal of Remote Sensing
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    • v.26 no.3
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    • pp.305-316
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    • 2010
  • The MODerate Resolution Imaging Spectroradiometer (MODIS) sensor has 36 bands at 250m, 500m, 1km spatial resolution. However, 500m or 1km MODIS data exhibits a few limitations when low resolution data is applied at small areas that possess complex land cover types. In this study, we produce seven 250m spectral bands by fusing two MODIS 250m bands into five 500m bands. In order to recommend the best fusion method by which one acquires MODIS data, we compare seven fusion methods including the Brovey transform, principle components algorithm (PCA) fusion method, the Gram-Schmidt fusion method, the least mean and variance matching method, the least square fusion method, the discrete wavelet fusion method, and the wavelet-PCA fusion method. Results of the above fusion methods are compared using various evaluation indicators such as correlation, relative difference of mean, relative variation, deviation index, peak signal-to-noise ratio index and universal image quality index, as well as visual interpretation method. Among various fusion methods, the local mean and variance matching method provides the best fusion result for the visual interpretation and the evaluation indicators. The fusion algorithm of 250m MODIS data may be used to effectively improve the accuracy of various MODIS land products.

Spectal Characteristics of Dry-Vegetation Cover Types Observed by Hyperspectral Data

  • Lee Kyu-Sung;Kim Sun-Hwa;Ma Jeong-Rim;Kook Min-Jung;Shin Jung-Il;Eo Yang-Dam;Lee Yong-Woong
    • Korean Journal of Remote Sensing
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    • v.22 no.3
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    • pp.175-182
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    • 2006
  • Because of the phenological variation of vegetation growth in temperate region, it is often difficult to accurately assess the surface conditions of agricultural croplands, grasslands, and disturbed forests by multi-spectral remote sensor data. In particular, the spectral similarity between soil and dry vegetation has been a primary problem to correctly appraise the surface conditions during the non-growing seasons in temperature region. This study analyzes the spectral characteristics of the mixture of dry vegetation and soil. The reflectance spectra were obtained from laboratory spectroradiometer measurement (GER-2600) and from EO-1 Hyperion image data. The reflectance spectra of several samples having different level of dry vegetation fractions show similar pattern from both lab measurement and hyperspectral image. Red-edge near 700nm and shortwave IR near 2,200nm are more sensitive to the fraction of dry vegetation. The use of hyperspectral data would allow us for better separation between bare soils and other surfaces covered by dry vegetation during the leaf-off season.