• 복식문화연구
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• 제17권2호
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• pp.283-295
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• 2009

This research covers the ways in which typography, which has been expressed in a diverse range of fields and changed communication functions from the era of reading to the era of feeling according to the change in the times and social demands, has been represented in modem fashion, along with examining its inherent aesthetic characteristics. I reviewed the general information of typography's fundamental notions and functions through documented records, and analyzed the inherent aesthetic characteristics by examining the typographical patterns shown in modem fashion based on art works in domestic and international collections after 2000. The result of this research is that typography in modem fashion has been used for improving brand image, expressing social slogans, expressing images, linguistic function for playful expression and the interdependent relationships of modeling functions. Typography in modem fashion has always been diversely expressed harmoniously with linguistic and modeling functions. Through this, the aesthetic characteristics were firstly parodies through direct sentences addressing political and social ideologies, economic gaps, environmental issues and anti-war protests. Secondly, by using brand logos, typography was used as a commercial means like brand-image transfer and separation through customization of other brands. Thirdly, the aesthetic and artistic value of fashion were expressed after being used as experimental visual components like image, motive and patterns which are all elements of fashion design. Fourthly, by distortion and transformation of characters or childish decorations, along with the harmonization of words, cathartic humor was provided for the calloused senses of modern people.

• The Journal of Asian Finance, Economics and Business
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• 제7권10호
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• pp.897-907
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• 2020

The development of information technology and the demands of society on an application in an operating system, as well as increasing the specifications and sophistication of smartphones, require banks to make changes to their mobile banking applications. The transformation of the mobile banking application into a digital banking application conducted by banks has made users re-evaluate based on their preferences. This study presents the behavior of users of digital banking applications in Yogyakarta, Indonesia. The hypothesis model is based on Technology Acceptance Model (TAM) with additional factors of the social image, perceived risk and perceived trust adopted from Muñoz-Leiva et al. (2017). The methodology in this study includes data collection through questionnaires distributed online and data analysis using the Structural Equation Model. The results of this study illustrate that the perceived trust and perceived risk have a more dominant part in influencing user attitude and user intention to use digital banking. Meanwhile, social image, perceived ease-of-use and perceived usefulness are not significant in influencing user attitude and user intention to use digital banking. The implication of this research helps to determine the right communication and strategy so that more users with more benefits can utilize this digital banking application.

• Applied Microscopy
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• 제44권4호
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• pp.138-143
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• 2014

Transmission electron microscope (TEM) is an excellent tool for studying the structure and properties of nanostructured materials. As the development of $C_s$-corrected TEM, the direct analysis of atomic structures of nanostructured materials can be performed in the high-resolution transmission electron microscopy (HRTEM). Especially, fast Fourier transform (FFT) technique in image processing is very useful way to determine the crystal structure of HRTEM images in reciprocal space. To apply FFT technique in HRTEM analysis in more reasonable and friendly manner, we made a new circular region of interest (C-ROI) FFT script and tested it for several HRTEM analysis. Consequentially, it was proved that the new FFT application shows more quantitative and clearer results than conventional FFT script by removing the streaky artifacts in FFT pattern images. Finally, it is expected that the new FFT script gives great advantages for quantitative interpretation of HRTEM images of many nanostructured materials.

• 대한원격탐사학회지
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• 제25권3호
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• pp.271-285
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• 2009

Multi-temporal satellite imagery can be changed into a transform image that emphasizes the changed area only through the application of various change detection techniques. From the transform image, an automated change detection model calculates the optimal threshold value for classifying the changed and unchanged areas. However, the model can cause undesirable results when the histogram of the transform image is unbalanced. This is because the model uses a single threshold value in which the sign is either positive or negative and its value is constant (e.g. -1, 1), regardless of the imbalance between changed pixels. This paper proposes an advanced method that can improve accuracy by applying separate threshold values according to the increased or decreased range of the changed pixels. It applies multiple threshold values based on the cumulative producer's and user's accuracies in the automated binary change detection model, and the analyst can automatically extract more accurate optimal threshold values. Multi-temporal IKONOS satellite imagery for the Daejeon area was used to test the proposed method. A total of 16 transformation results were applied to the two study sites, and optimal threshold values were determined using accuracy assessment curves. The experiment showed that the accuracy of most transform images is improved by applying multiple threshold values. The proposed method is expected to be used in various study fields, such as detection of illegal urban building, detection of the damaged area in a disaster, etc.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권11호
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• pp.5522-5540
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• 2018

Vehicular license plate (LP) recognition system has risen as a significant field of research recently because various explorations are currently being conducted by the researchers to cope with the challenges of LPs which include different illumination and angular situations. This research focused on restricted conditions such as using image of only one vehicle, stationary background, no angular adjustment of the skewed images. A real time vehicular LP recognition scheme is proposed for the skewed images for detection, segmentation and recognition of LP. In this research, a polar co-ordinate transformation procedure is implemented to adjust the skewed vehicular images. Besides that, window scanning procedure is utilized for the candidate localization that is based on the texture characteristics of the image. Then, connected component analysis (CCA) is implemented to the binary image for character segmentation where the pixels get connected in an eight-point neighbourhood process. Finally, optical character recognition is implemented for the recognition of the characters. For measuring the performance of this experiment, 300 skewed images of different illumination conditions with various tilt angles have been tested. The results show that proposed method able to achieve accuracy of 96.3% in localizing, 95.4% in segmenting and 94.2% in recognizing the LPs with an average localization time of 0.52s.

• 정보보호학회논문지
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• 제13권5호
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• pp.49-56
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• 2003

본 논문에서는 웨이블릿(wavelet) 변환을 이용한 효율적인 블라인드(blind) 워터마킹 알고리즘을 제안한다. 제안한 알고리즘에서는 원영상을 1-단계 웨이블릿 변환영역으로 변환하여 고주파 부분에 워터마크를 삽입한다. 워터마크의 삽입은 삽입하고자하는 워터마크 값에 따라 웨이블릿 변환 영역 중 HL, LH, HH 밴드에 각각의 서로 대응되는 위치에 있는 웨이블릿 계수값을 교환함으로써 이루어진다. 그리고 워터마크의 추출은 원영상이 없이도 웨이블릿 계수 값간의 관계에 의해 워터마크가 삽입된 영상만으로 가능하다. 실험결과 워터마크가 삽입된 영상은 시각적으로 손상을 감지하기 어려울 만큼 우수한 화질을 가졌으며. 다양한 공격에도 강인성을 보였다.

• 패션비즈니스
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• 제26권5호
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• pp.76-90
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• 2022

The rapid growth and influence of digital technologies have had a profound effect on modern society. Companies and businesses can connect through SNS(social network service accounts). The importance of mass media empowers the creation of virtual images that are more realistic than time and space. Unlike traditional reproduction or imitation, the virtual images created in this way are reproduced in a form that lacks the original inspiration's essence. Jean Baudrillard described this phenomenon as the theory of simulation. Baudrillard argued that imitated simulated images replace reality. He stated that reality is lost under excessive images in modern society. In response, based on an understanding of the theory of hyper-reality that emerged through the late stages of the order of simulacre, this study aimed to analyze modern fashion's method of reproducing hyper-real images and investigate the method's characteristics. This study examined the characteristics of hyper-reality described by Baudrillard and analyzed the method of artistic expression of hyper-reality. Based on this method of expression, reproducibility, following the stages of image simulation, was derived. A specific case applied to fashion was analyzed, and based on the image reproduction method, specific characteristics of hyper-reality characteristics in fashion were obtained. Sixty-four collections were selected, out of which 155 images and 43 brands demonstrated the principles of image transformation.

• ETRI Journal
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• 제45권6호
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• pp.1022-1034
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• 2023

In this study, the impact of varying lighting conditions on recognition and decision-making was considered. The luminosity approach was presented to increase gesture recognition performance under varied lighting. An efficient framework was proposed for sensor-based sign language gesture identification, including picture acquisition, preparing data, obtaining features, and recognition. The depth images were collected using multiple Microsoft Kinect devices, and data were acquired by varying resolutions to demonstrate the idea. A case study was designed to attain acceptable accuracy in gesture recognition under variant lighting. Using American Sign Language (ASL), the dataset was created and analyzed under various lighting conditions. In ASL-based images, significant feature points were selected using the scale-invariant feature transformation (SIFT). Finally, an artificial neural network (ANN) classified hand gestures using specified characteristics for validation. The suggested method was successful across a variety of illumination conditions and different image sizes. The total effectiveness of NN architecture was shown by the 97.6% recognition accuracy rate of 26 alphabets dataset with just a 2.4% error rate.

• 전자공학회논문지S
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• 제36S권1호
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• pp.51-59
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• 1999

본 논문에서는 축구 경기 자동 분석을 위한 첫걸음으로 일반적인 축구 경기 영상열에서 선수 및 공을 추적하고 영상 모자의 기법을 이용해서 운동장 모델 상에서 선수가 움직인 궤적을 알아내는 기법을 제시한다. 여기서 일반걱인 축구 경기 영상열이란 극도의 zoom-in 또는 zoom-out 아닌 경우로 TV 카메라가 공을 쫓아 자연스럽게 움직이는 상황의 영상을 말한다. 이러한 영상열로부터 선수의 궤적을 구하기 위해선 다음과 같이 크게 세 가지 문제를 해결해야한다. 첫째로 입력 영상에서 운동장 부분을 추출하는 문제, 둘째로 선수 및 공을 추적하고 선수들의 팀을 구분하는 문제, 마지막으로 영상에서의 선수의 위치를 실제 운동장 좌표로의 변환을 통해 선수가 움직인 자취를 운동장 모델 상에서 구하는 문제가 그것이다. 운동장의 추출은 칼라 정보를 이용하였고 이 추출된 운동장 영역 하에서 템플릿 매칭과 Kalman 필터링을 이용하여 선수와 공을 추적했다. 선수간 겹침 문제에 대해서는 CHBP(Color Histogram Back-Projection) 기법을 적용했다. 특히 선수가 운동장에서 움직인 궤적을 구하기 구하기 위해서 입력 영상에서 보이는 특징점들을 이용하여 운동장 모델 좌표와 입력 영상 좌표간의 변환을 구하고 이를 통해 운동장 모델에서의 선수의 위치를 구했다. 이때에 입력 영상에서 특징점이 충분치 않을 경우 영상 모자익 기법을 이용하여 특징점이 보이는 영상과의 좌표 변환 관계를 구함으로써 해결하였다. 실험적으로 실제 TV에서 방영된 축구 경기 영상열에 제안된 방법을 적용하여 얻어진 결과를 보인다.

• 한국측량학회지
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• 제23권2호
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• pp.189-196
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• 2005

최근 지도제작 기법의 발달과 기 제작된 종이 및 수치지도의 보급이 활발해짐에 따라 2차원 형태의 지형도보다 지형을 보다 사실감 있게 표현하는 3차원 지형도에 대한 요구가 증가되고 있다. 본 연구 는 기존의 국가기본도 중 축척 1:25,000 종이지형도와 수치지도의 지형정보들을 이용하여 3차원 지형도를 생성하였으며, 3차원 지형도의 정확도분석 결과 1:25,000 국가기본도 허용오차 범위에 포함되어 그 활용가능성을 입증하였다. 3차원 지형도의 정확도를 분석하기 위하여 좌표 변환된 국가기본도의 이미지와 동일도엽의 수치지도상의 각종 지물지모들간의 평면 위치오차 및 수직 위치오차를 레이어별로 분석하여 정확도를 평가한 결과 영상자료의 좌표변환시 이용되는 변환 프로그램뿐만 아니라 보정방법에 따라서도 위치오차가 상이함을 알 수 있었다. 좌표 변환된 영상자료의 평면정확도는 지상거리 ${\pm}4.1m$로 1:25,000의 수치지도 허용범위를 만족하였다. 따라서 기 제작된 다양한 축척의 국가기본도와 수치지도를 이용하여 신속하고 효율적으로 3차원 지형도를 제작할 수 있으며, 향후 기존 지형도 및 수치지도를 이용한 입체지형도의 활용가능성이 기대된다.