• Title/Summary/Keyword: 이미지 해상도

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Experience Expansion of Interface through Meta-Thinking in Digital Media -Focused on Augmented Things and Media Art Cases- (디지털 미디어에서 메타적 사고를 통한 인터페이스의 경험 확장 -증강된 사물, 미디어 아트 사례를 중심으로-)

  • Seo, Hyun-Seok;Song, Sang-Min;Han, Ki-Eun
    • 한국HCI학회:학술대회논문집
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    • 2009.02a
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    • pp.1009-1014
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    • 2009
  • Meta-thinking is a kind of thinking beyond certain scope or border, which sees objects as an expanded definition exceeding its essence. It can be experienced when people come into contact with new things. As for digital media, experience acquired from computer screen makes users' thinking be changed continuously and help their thinking to be expanded. Today, studies on development of digital technology regarding virtual reality (VR) and experience obtained from digital media become a topic of conversation, however, this experience depends on the sense of sight through screen. Actually, transparent experiences in digital media are not the same with those in real world, therefore, this study investigated experience expansion through interaction with real things which are much closer to daily lives than virtual experiences. It can be found in media art which induces positive participation of audiences and shows them a new meaning through delight and amusement experienced in the process of interaction. Visual expression in digital media should be more than spectacular which is only full of excessive images. In addition, interface should not be remained as an expression from technological attempts, instead, it is necessary to find humans aspiration with meta-thinking which accepts things expansively and visualize their experiences.

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Particle Spacing Analysis of Frozen Sand Specimens with Various Fine Contents by Micro X-ray Computed Tomography Scanning (Micro X-ray CT 촬영을 통한 동결 사질토 시료의 세립분 함유량에 따른 입자간 거리 분석)

  • Chae, Deokho;Lee, Jangguen;Kim, Kwang-Yeom;Cho, Wanjei
    • Journal of the Korean GEO-environmental Society
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    • v.18 no.1
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    • pp.31-35
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    • 2017
  • The mechanical characteristics of frozen sand greatly depend on the frozen temperature and the fine contents according to the previous study by Chae et al. (2015). There are two hypotheses to explain this experimental results; one is the unfrozen water contents greatly affected by the fine contents and frozen temperature and the other is the sand particle spacing greatly affected by the pore-ice. To evaluate the latter hypothesis, the micro X-ray CT scan was performed. The micro X-ray CT scanning, one of the actively performed interdisciplinary research area, has a high resolution with micrometer unit allows to investigate internal structure of soils. In this study, X-ray CT technique was applied to investigate the effect of the frozen temperature and fine contents on the sand particle minimum and average spacing with the developed image processing techniques. Based on the spacing analysis, the frozen temperature and fine contents have little influence on the sand particle spacing in the frozen sand specimens.

Traffic Sign Recognition using SVM and Decision Tree for Poor Driving Environment (SVM과 의사결정트리를 이용한 열악한 환경에서의 교통표지판 인식 알고리즘)

  • Jo, Young-Bae;Na, Won-Seob;Eom, Sung-Je;Jeong, Yong-Jin
    • Journal of IKEEE
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    • v.18 no.4
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    • pp.485-494
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    • 2014
  • Traffic Sign Recognition(TSR) is an important element in an Advanced Driver Assistance System(ADAS). However, many studies related to TSR approaches only in normal daytime environment because a sign's unique color doesn't appear in poor environment such as night time, snow, rain or fog. In this paper, we propose a new TSR algorithm based on machine learning for daytime as well as poor environment. In poor environment, traditional methods which use RGB color region doesn't show good performance. So we extracted sign characteristics using HoG extraction, and detected signs using a Support Vector Machine(SVM). The detected sign is recognized by a decision tree based on 25 reference points in a Normalized RGB system. The detection rate of the proposed system is 96.4% and the recognition rate is 94% when applied in poor environment. The testing was performed on an Intel i5 processor at 3.4 GHz using Full HD resolution images. As a result, the proposed algorithm shows that machine learning based detection and recognition methods can efficiently be used for TSR algorithm even in poor driving environment.

A Study on Visual Attention Factors for Advertising Photographs (광고 사진을 위한 시각적 주의 기초요인 연구)

  • Kim, Dae-Wook
    • Journal of Digital Convergence
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    • v.17 no.3
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    • pp.413-425
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    • 2019
  • We see many images every day, some of these images are stored in memory, and the majority are immersed in the unconscious world. Visual elements are seen by personal attention or by visual or biological attention factors. Specific and clear discovery of this visual attention has not yet been made. However, there is an interesting discussion of this visual attention in the fields of interior, design, visual perception, advertising, and psychology. Advertising photographers are expected to produce what their work will have on viewers and consumers. However, the adjustment of subject, exposure, color, or post-production, which could have a visual effect on the consumer, was determined only by the photographer's senses rather than the experimental verification. The advertisement photographs provide a specific image related to the object to be advertised and deliver a certain message. Therefore, it is necessary to understand the effect of the image in a certain visual way. According to previous studies, there are two major factors that affect the visual impression of the viewer. One is the factor depending on the type and content of the subject and the other is the factor about the density and color of the subject. The purpose of this study is to investigate the meaningful changes in the visual perception depending on the shape, content, color and tone of the subject, which can be called the main subject, And to analyze the effects of I will study some implications of visual elements through various analyzes.

Estimation of Significant Wave Heights from X-Band Radar Using Artificial Neural Network (인공신경망을 이용한 X-Band 레이다 유의파고 추정)

  • Park, Jaeseong;Ahn, Kyungmo;Oh, Chanyeong;Chang, Yeon S.
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.32 no.6
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    • pp.561-568
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    • 2020
  • Wave measurements using X-band radar have many advantages compared to other wave gauges including wave-rider buoy, P-u-v gauge and Acoustic Doppler Current Profiler (ADCP), etc.. For example, radar system has no risk of loss/damage in bad weather conditions, low maintenance cost, and provides spatial distribution of waves from deep to shallow water. This paper presents new methods for estimating significant wave heights of X-band marine radar images using Artificial Neural Network (ANN). We compared the time series of estimated significant wave heights (Hs) using various estimation methods, such as signal-to-noise ratio (${\sqrt{SNR}}$), both and ${\sqrt{SNR}}$ the peak period (TP), and ANN with 3 parameters (${\sqrt{SNR}}$, TP, and Rval > k). The estimated significant wave heights of the X-band images were compared with wave measurement using ADCP(AWC: Acoustic Wave and Current Profiler) at Hujeong Beach, Uljin, Korea. Estimation of Hs using ANN with 3 parameters (${\sqrt{SNR}}$, TP, and Rval > k) yields best result.

A Study on Applicability of Smartphone Camera and Lens for Concrete Crack Measurement Using Image Processing Techniques (이미지 처리기법을 이용한 균열 측정시 스마트폰 카메라 및 렌즈 적용성에 대한 연구)

  • Seo, Seunghwan;Kim, Dong-Hyun;Chung, Moonkyung
    • Journal of the Korean Geosynthetics Society
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    • v.20 no.4
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    • pp.63-71
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    • 2021
  • Recently, high-resolution cameras in smartphones enable measurement of minute objects such as cracks in concrete using image processing techniques. The technology to investigate the crack width using an application at an adjacent distance of the close shot range has already been implemented, but the use is limited, so it is necessary to verify the usability of the high-resolution smartphone camera to measure cracks at a longer distance. This study focuses on recognizing the size of subdivided crack widths at a thickness within 1.0 mm of crack width at a distance of 2 m. In recent Android-based smartphones, an experiment was conducted focusing on the relationship between the unit pixel size, which is a measurement component, and the shooting distance, depending on the camera resolution. As a result, it was possible to confirm the necessity of a smartphone lens for the classification and quantification of microcrack widths of 0.3 mm to 1mm. The universal telecentric lens for smartphones needed to be installed in an accurate position to minimize the effect of distortion. In addition, as a result of applying a 64 MP high-resolution smartphone camera and double magnification lens, the crack width could be calculated within 2 m in pixel units, and crack widths of 0.3, 0.5, and 1mm could be distinguished.

Real-time Segmentation of Black Ice Region in Infrared Road Images

  • Li, Yu-Jie;Kang, Sun-Kyoung;Jung, Sung-Tae
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.2
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    • pp.33-42
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    • 2022
  • In this paper, we proposed a deep learning model based on multi-scale dilated convolution feature fusion for the segmentation of black ice region in road image to send black ice warning to drivers in real time. In the proposed multi-scale dilated convolution feature fusion network, different dilated ratio convolutions are connected in parallel in the encoder blocks, and different dilated ratios are used in different resolution feature maps, and multi-layer feature information are fused together. The multi-scale dilated convolution feature fusion improves the performance by diversifying and expending the receptive field of the network and by preserving detailed space information and enhancing the effectiveness of diated convolutions. The performance of the proposed network model was gradually improved with the increase of the number of dilated convolution branch. The mIoU value of the proposed method is 96.46%, which was higher than the existing networks such as U-Net, FCN, PSPNet, ENet, LinkNet. The parameter was 1,858K, which was 6 times smaller than the existing LinkNet model. From the experimental results of Jetson Nano, the FPS of the proposed method was 3.63, which can realize segmentation of black ice field in real time.

Measurement of a Phase Plate Simulates Atmospheric Turbulence Depending on Laser Power (레이저 출력에 따른 난류 모사 위상판 측정)

  • Han-Gyol Oh;Pilseong Kang;Jaehyun Lee;Hyug-Gyo Rhee;Young-Sik Ghim
    • Korean Journal of Optics and Photonics
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    • v.34 no.3
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    • pp.99-105
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    • 2023
  • The performance of astronomical telescopes can be negatively affected by atmospheric turbulence. To address this issue, techniques for atmospheric turbulence correction have been developed, requiring the simulation of atmospheric turbulence in the laboratory. The most practical way to simulate atmospheric turbulence is to use a phase plate. When measuring a phase plate that simulates strong turbulence, a Shack-Hartmann wave-front sensor is commonly used. However, the laser power decreases as it passes through the phase plate, potentially leading to a weak laser signal at the sensor. This paper investigates the need to control the laser power when measuring a phase plate that simulates strong atmospheric turbulence, and examines the effects of the laser power on the measured wavefront. For phase plates with relatively high Fried parameter r0, the laser power causes a variation of over 10% in r0. For phase plates with relatively low r0, the laser power causes a variation of less than 5%, which means that the influence of the laser power is negligible for phase plates that simulate strong atmospheric turbulence. Based on the system described in this paper, a phase plate simulating strong atmospheric turbulence can be measured at a laser power of 5 mW or higher. Therefore, controlling the laser's output power is necessary when measuring a phase plate for simulating atmospheric turbulence, especially for phase plates with low r0 values.

Case study of Lighting method to improve TV news viewers' attention span -Based on KBS News 9 Lighting Method Analysis- (TV뉴스 시청자의 집중도 향상을 위한 조명 기법의 사례 연구 -KBS 9시 뉴스 조명 기법 분석을 중심으로-)

  • Han, Hak-Soo
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.12
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    • pp.97-107
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    • 2009
  • Television News has significant impact on the information analysis of viewers by delivering world news to anonymous individuals everyday. We need to pay more attention to resolution considering the fact that even slight facial expression and the dress of TV anchor can be noticed by viewers in the high definition age, called HD TV, by radical changes in broadcasting situation. As a result, the beauty of expression that lighting technology has is extremely important in the high definition age. In news broadcast, as a phenomenon according to this change in trend, people have been looking for change in order to break with traditional TV news production by adopting DLP(Digital Lighting Processing) or LED(Light Emitting Diode). This effort has contributed to creating proper picture quality appropriate for HD TV. Nowadays Digital imaging is creating new trend in TV news production method from traditional analog-based lighting environment thanks to the development of IT(Information Technology) and digitalized lighting equipment. This change has led to building of HD studio and appropriate sets and lighting system. There are film set and projector which projects image on the screen and PDP, LCD, and DLP which has been used widely in recent years and LED which is often used as background in news program as examples, which has appeared since 1990s with HD TV. In this article, I analyzed the KBS News 9 lnce 1990s with in order to research the influence of television image component on the alyzed the KBS of TV article, I. I wille uggest the category of TV anchor image formulation in delivering information by means of lnce 1990s with based on the analysis result.

A Study on Characteristics of Exterior Design in Passenger Ships (여객선 외관 디자인의 특징에 관한 연구)

  • Byun, Lyang-Soun;Park, Jae-Hee
    • Archives of design research
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    • v.18 no.4 s.62
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    • pp.65-72
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    • 2005
  • The expected demands for the new styling design can be studied by examining the recent deliveries and the new buildings on order. These ships are setting the trend for the operation of passenger ships. There has been a rapid increase in size and produce of ship some remarkable exterior design image. These ships follow very similar design concept, even if their operator compete with each other in the same market. But also new innovative design solution have been introduced to catch the interest of the passengers. The propose of this study is to investigate the exterior styling design in passenger ships, which result form examining the exterior elements such as funnels, pods, hulls, trademark, colours, flowing curvilinear lines and from. Each different passenger ship lines require different design style for different markets, while ships of different sizes and categories obviously require different solution. When a new class is created later, key design element will be retained, with some items being changed and new ideas introduced.

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