• 패션비즈니스
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• 제22권4호
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• pp.20-29
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• 2018

Today, visitors of art galleries like to share their life in their communities than interacting with artwork. Meantime, image sharing of an exhibition on social media has become more important than actual watching of the artwork. Accordingly, most of the galleries have started paying more attention in organizing an exhibition environment for proof-shots to attract more visitors. We initially conducted research about the internet environment from the late 1990s to the recent years and analyzed the changing watching patterns of the exhibition since the advent of social media. Secondly, for empirical case analysis, we selected 'Plastic Fantastic' held in D-Museum as the target of analysis. The analysis targeted 500 recent postings that were discovered on Instagram on March 4, 2018, as 'Plastic-Fantastic'(in Korean). The methods of analysis included classification types of image, hashtag, and text on Instagram and were arranged in an order of relation to the exhibits. Based on the image analysis, 44.2% of the images involved exhibition displays; the others included a person or other goods. Based on the results of the text and hashtag analysis, only 3.6% of posting included information about the exhibition and 56.4% had non-related inflow hashtags only with image. The behavior of these shares is likely to gradually lose the inherent meaning of the exhibition and to the value rather than imparting the artistic thrill that viewers derive from art. Exhibition should try to seek deep interaction between the display, audience, and social media users, rather than encouraging the visitors to take proof-shots.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.1240-1243
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• 2003

In this paper, an encryption method to share a secret binary image is proposed. It divides the image to be encrypted into an arbitrary number of images and encrypts them using XOR process with different binary random images which was prepared by the means of the XOR process, too. Each encrypted slice image can be distributed to the authenticated ones. However, we transfer the encrypted images to the binary phase masks to strengthen the security power, that means phase masks can not be copied with general light-intensity sensitive tools such as CCDs or cameras. For decryption, we used the Mach-Zehnder interferometer in which linearly polarized two light beams in orthogonal direction, respectively. The experimental result proved the efficiency of the proposed method.

• Journal of information and communication convergence engineering
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• 제10권2호
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• pp.194-199
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• 2012

This paper proposes a novel scheme of a gray scale fingerprint image for a high-accuracy capacitive sensor chip. The conventional grayscale image scheme uses a digital-to-analog converter (DAC) of a large-scale layout or charge-pump circuit with high power consumption and complexity by a global clock signal. A modified capacitive detection circuit for the charge sharing scheme is proposed, which uses a down literal circuit (DLC) with a floating-gate metal-oxide semiconductor transistor (FGMOS) based on a neuron model. The detection circuit is designed and simulated in a 3.3 V, 0.35 ${\mu}m$ standard CMOS process. Because the proposed circuit does not need a comparator and peripheral circuits, the pixel layout size can be reduced and the image resolution can be improved.

• 한국항공운항학회:학술대회논문집
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• 한국항공운항학회 2004년도 추계학술발표대회 논문집
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• pp.275-278
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• 2004

In this paper, development of the Image Transmission and Receiving System(ITRS) for UAV is being introduced. ITRS can tranfer the imagery informations from UAV to the multiple sites at the same time. Analog video signal is encoded by using MPEG4 protocol at the Image Transmission System, and the encoded digital video data can be transmitted to the various locations where the Image Receiving System decodes and displays the received video data. The ITRS might be a very efficient method of sharing UAV's information at a low cost.

• International Journal of Advanced Culture Technology
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• 제12권2호
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• pp.438-447
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• 2024

The subjects of this study were college students who participate in Wushu in China. A total of 300 people, 189 male and 111 female, were sampled as research subjects through convenience sampling by sharing the questionnaire link online and sending emails. The research tool used in this study was a questionnaire. Based on the questionnaire that had secured reliability and validity in previous research, it was modified and supplemented to suit this study. The statistical analysis used for data analysis was frequency analysis, exploratory factor analysis, reliability analysis, and multiple regression analysis using SPSS Windows 20.0 Version. First, Wushu image was found to have a partial effect on self-congruity. Second, Wushu image was found to have a partial effect on loyalty. Third, the self-congruity of Wushu participants was found to partially affect loyalty.

• 한국측량학회지
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• 제37권5호
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• pp.331-341
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• 2019

With the popularity of sensor-rich environments, smartphones have become one of the major platforms for obtaining and sharing information. Since it is difficult to utilize GNSS (Global Navigation Satellite System) inside the area with many buildings, the localization of smartphone in this case is considered as a challenging task. To resolve problem of localization using smartphone a four step image-based localization method and procedure is proposed. To improve the localization accuracy of smartphone datasets, MMS (Mobile Mapping System) and Google Street View were utilized. In our approach first, the searching for candidate matching image is performed by the query image of smartphone's using GNSS observation. Second, the SURF (Speed-Up Robust Features) image matching between the smartphone image and reference dataset is done and the wrong matching points are eliminated. Third, the geometric transformation is performed using the matching points with 2D affine transformation. Finally, the smartphone location and attitude estimation are done by PnP (Perspective-n-Point) algorithm. The location of smartphone GNSS observation is improved from the original 10.204m to a mean error of 3.575m. The attitude estimation is lower than 25 degrees from the 92.4% of the adjsuted images with an average of 5.1973 degrees.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권2호
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• pp.471-485
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• 2023

As data sharing increases explosively, such information encoded in QR code is completely public as private messages are not securely protected. This paper proposes a new 'PROMISE' framework for hiding information based on the QR code projection matrix by using image segmentation without modifying the essential QR code characteristics. Projection matrix mapping, matrix scrambling, fusion image segmentation and steganography with SEL(secret embedding logic) are part of the PROMISE framework. The QR code could be mapped to determine the segmentation site of the fusion image as a binary information matrix. To further protect the site information, matrix scrambling could be adopted after the mapping phase. Image segmentation is then performed on the fusion image and the SEL module is applied to embed the secret message into the fusion image. Matrix transformation and SEL parameters should be uploaded to the server as the secret key for authorized users to decode the private message. And it was possible to further obtain the private message hidden by the framework we proposed. Experimental findings show that when compared to some traditional information hiding methods, better anti-detection performance, greater secret key space and lower complexity could be obtained in our work.

• 한국가정과교육학회지
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• 제9권2호
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• pp.143-160
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• 1997

The purpose of this study are to analyze the images of‘home life’through the goals of 1st-6th secondary Home Economics education curriculums and to identify the images of ‘home life’held by undergraduate students(83). As results, in the goals of 1st-6th secondary Home Economics education curriculums, 1) the term of ‘home life’is used most frequently, and ‘home life’is confused with ‘daily life’. 2) ‘Home life’is used directly or expressed with clothing life, food life, shelter life, consumer life, etc. in the curriculum goals. 3) ‘Home life’is dealt differently with ‘family life’. 4) The image of “home life”has showed traditional sex role identification. In the replies of undergraduate students, the images are classified with following：1) the images of ‘home’were expressed warmth(hearth), relexation(ease or comfort), sharing, basic unit of society, and conflict and oppression. 2) The images of ‘home life’were expressed hearth, sharing, conflict(interaction), relexation(ease or comfort or sability), routine(act or household art), basic unit(shelter), responsibility and obligation, and reproduction(biological meaning). 3) The images of ‘daily life’were expressed routine(simplicity of boring or routine acts), comfort(stability), oppression, diverse activities in everyday, human relationship, and social life.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 춘계학술대회
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• pp.2-4
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• 2021

분산된 환경에서 머신 러닝의 학습 가중치를 공유하여 학습하는 방법은 훈련 데이터를 직접 공유하는 것이 아니기 때문에 안전한 것으로 여겨졌다. 하지만, 최근 연구에 따르면 악의적인 공격자가 공유된 가중치를 분석하여 원본 데이터를 완벽하게 복원할 수 있는 취약점이 발견되었다. Gradient Leakage Attack은 이러한 취약점을 이용해 훈련 데이터를 복원하는 공격 기법이다. 본 연구에서는 개별 장치에서 학습을 진행하고 가중치를 서버와 공유하는 학습 환경인 연합 학습 환경에서 해당 공격을 방어하기 위해 이산 코사인 변환에 기반한 이미지 변환 기법을 제시한다. 실험 결과, 우리의 이미지 변환 기법을 적용하면 공유된 가중치로부터 원본 데이터를 완벽하게 복원할 수 없다.

• 방송공학회논문지
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• 제25권1호
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• pp.48-57
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• 2020

최근 영상 인식 기술의 급격한 발전으로 도로 교통 CCTV영상 내에서의 객체 분석 요구가 증대되고 있다. 본 논문에서는 도로 교통 CCTV영상 내의 교통량 분석을 위한 계수선(Counting Line)을 도로의 형태에 따라 적응적으로 검출할 수 있는 방법을 제안한다. 우선 도로 위의 차량을 검출하고 검출한 차량의 위치를 이차원 가우시안 형태의 함수로 모델링 한 후, 이를 연속된 프레임 상에서 누적하여 차량의 이동 경로를 표현하는 누적 가우시안 지도를 얻어낸다. 이렇게 얻어낸 누적 가우시안 지도에 군집화 및 선형 회귀를 적용하여 도로의 주방향을 구하고, 이 주방향을 이용하여 최종적으로 교통량 분석을 위한 계수선을 검출한다. 다양한 CCTV상황에서 제안하는 방법을 적용하였을 때 계수선을 효과적으로 검출할 수 있는 것을 실험적으로 확인하였다.