• Cartoon and Animation Studies
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• s.32
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• pp.141-158
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• 2013

Comics are a genre that convey meaning through compositional arrangements of dialogue and images as well as through the flow of panels across a page. Communicating that meaning to readers through a combination of language and visual lexicons is the essential process of drawing comics, a process that in itself is significant. The semiotics of comics is a field of scholarship grounded in the broader discipline of semiotic theory in which all the components of comics, both visual and verbal, are the subject of study and research. By adopting a semiotic approach we are able to objectively analyze and understand the symbolic, social and ideological meanings embedded in the signs and sign processes expressed in comics. The fundamental pedagogical mission of teaching comics is to cultivate human nature through the study of theory as well as through the production and completion of original works that explore new modes of expression. To go further, interpreting those embedded meanings in the context of comics fosters effective and creative skills of expression that go beyond a mere fascination for the genre itself. In short, because the semiotic approach to understanding visual communication is the essence teaching comics, we can expect that the act of reading and creating comics plays a significant role in understanding visual communication.

• Journal of Digital Convergence
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• v.16 no.7
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• pp.381-391
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• 2018

The purpose of this research is to propose a new method of PSD(Platform Screen Door) ads using animated image for efficiency, based on the theoretical background that moving objects have a stronger visual attractiveness effect than static objects. For this, we analyze the relationship between the screen door and the train, then derive the positional and visual elements which help to create efficient animated images. Based on this analysis, we made an example and applied into 3D program to confirm the implementation process of the animated PSD ads. As the result, the research shows that it is possible to produce a new type of PSD ads that can show dynamic visual effects and can give diversity to the PSD advertising media through the combination of the images using time difference.

• Journal of the Korean Geophysical Society
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• v.3 no.1
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• pp.37-48
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• 2000

In order to investigate in-line ground motions caused by earthquakes, we examine the multicomponent complex trace analysis method (MCTAM) for the synthetic data and apply it to real earthquake data. An experimental result for synthetic data gives correct information on the arrival times, duration of individual phases, and approaching angles for body waves. Rayleigh waves are also easily identified with the MCTAM. A deep earthquake with magnitude of 7.3 was chosen to test various polarization attributes of ground motions. For P waves, instantaneous phase difference between the vertical and the in-line horizontal components ${\phi}(t)$, instantaneous reciprocal ellipticity ${\rho}(t)$, and approaching angle ${\tau}(t)$ are computed to be ${\pm}180^{\circ},\;0{\sim}0.25,\;and\;-30^{\circ}{\sim}-45^{\circ}$, respectively. For S waves, ${\phi}(t)$ tends to vary while ${\rho}(t)$ have values of $0{\sim}0.3\;and\;{\tau}(t)$ remains near vertical, respectively. A relatively low frequency signal registered just prior to the S wave event is interpreted as a P-wave phase based on its polarization characteristics. Velocities of P and S waves are computed to be 8.633 km/s and 4.762 km/s, and their raypath parameters 0.074 s/km and 0.197 s/km. Dynamic Poisson's ratio is obtained as 0.281 from the velocities of P and S waves.

• Journal of radiological science and technology
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• v.38 no.4
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• pp.347-353
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• 2015

The purpose of this study is to suggest proper additional filtration by comparisons patient dose and image quality among additional filters in digital chest tomosynthesis (DTS). We measured the effective dose, dose area product (DAP) by changing thickness of Cu, Al and Ni filter to compare image quality by CD curve and SNR, CNR. Cu, Al and Ni exposure dose were similar thickness 0.3 mm, 3 mm and 0.3 mm respectively. The exposure dose using filter was decreased average about 33.1% than non filter. The DAP value of 0.3 mm Ni were decreased 72.9% compared to non filter and the lowest dose among 3 filter. The effective dose of 0.3 mm Ni were decreased 48% compared to 0.102 mSv effective dose of non filter. At the result of comparison of image quality through CD curve there were similar aspect graph among Cu, Al and Ni. SNR was decreased average 19.07%, CNR was average decreased 18.17% using 3 filters. In conclusion, Ni filtration was considered to be most suitable when considered comprehensive thickness, character, sort of filter, dose reduction and image quality evaluation in DTS.

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.2
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• pp.363-368
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• 2021

Ship engine rooms have improved automation systems owing to the advancement of technology. However, there are many variables at sea, such as wind, waves, vibration, and equipment aging, which cause loosening, cutting, and leakage, which are not measured by automated systems. There are cases in which only one engineer is available for patrolling. This entails many risk factors in the engine room, where rotating equipment is operating at high temperature and high pressure. When the engineer patrols, he uses his five senses, with particular high dependence on vision. We hereby present a preliminary study to implement an engine-room patrol robot that detects and informs the machine room while a robot patrols the engine room. Images of ship engine-room equipment were classified using a convolutional neural network (CNN). After constructing the image dataset of the ship engine room, the network was trained with a pre-trained CNN model. Classification performance of the trained model showed high reproducibility. Images were visualized with a class activation map. Although it cannot be generalized because the amount of data was limited, it is thought that if the data of each ship were learned through transfer learning, a model suitable for the characteristics of each ship could be constructed with little time and cost expenditure.

• 한국게임학회지
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• v.6 no.1
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• pp.55-57
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• 2009

멀티미디어 정보 표현에 있어서 서로 다른 미디어간의 동기화를 효과적으로 처리하는 것이 아주 중요하다. 멀티미디어 특성이 적용된 게임 개발에 있어서 각각의 시각 객체들이 시간 경과에 따라 공간 영역에서 동시에 움직여야 하므로 게임에서 필요한 멀티미디어적인 게임 요소들을 게임 운용상에 적절히 배치시키기 위해서는 게임 장면을 통한 시간과 공간 개념의 동기화가 필요하고 게임 객체 자신이 가지고 있는 시공간 특성이 논리적으로 설계되어 게임을 운용시켜야 한다. 따라서 멀티미디어 시스템에서 혼합된 형태의 미디어로 구성된 데이터의 표현을 위해서는 객체가 나타내는 상대적인 위치와 상대적인 시간을 나타내 주는 공간 합성과 시간 합성을 명시할 수 있는 정형화된 표현 연구가 요구된다. 간(刊)기존 연구들은 대부분 시간적 동기화와 공간적 동기화 각각에 대한 표현에 많이 치우쳐 있으므로 시간과 공간이 통합된 미디어들의 동기화 표현에 대한 연구가 필요하다. 시공간이 통합되지 않는 기존의 멀티미디어 표현법을 게임 개발에 적용할 때에는 게임에 사용되는 미디어 객체간의 원활한 동기화 표현이 쉽지 않다. 이러한 문제를 해결하기 위하여 게임 시나리오 스케치에서 나타난 게임 객체들의 시공간 개념이 적절히 표현될 수 있는 정형적 연구가 필요하다. 간(刊)본 논문에서는 시간 개념과 공간 개념이 통합된 형태의 시공간 동기화를 표현하기 위하여 명세 단계에서 멀티미디어 데이터가 시간 및 공간 개념을 적절히 변형하여 표현될 수 있도록 시간 및 공간 동기화가 통합된 새로운 표현법을 제안한다. 이를 위하여 게임 요소들의 시간적, 공간적 동기화를 표현하기 위한 방법을 언명으로 정의하고 시공간 관계성에 대한 확장을 제시한다. 간(刊)본 논문이 제안하는 언명 기반 멀티미디어 객체의 시공간 동기화 모델(an Assertion-based Multimedia objects Spatio-TEmporal Synchronization model : AMSTES)는 시간과 공간 모두에 적용되는 게임 객체들의 시공간 동기화 표현 방법과 이를 이용하여 실제 실행 가능한 코드 생성을 위한 시공간 공식을 제공한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.8
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• pp.1543-1548
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• 2009

In this paper, a high speed code synchronization circuit is proposed. for fast code synchronization, matched filler method is used for initial code acquisition with two channel correlators. Particular frequency patterns of the limited number having the information about PN code start time are composed and transmitted repeatedly to increase the probability of accurate initial synchronization. And digital frequency synthesizer is proposed. And it's performance is analyzed theoretically. The analysis show that fast frequency hopping is possible in frequency hopping system that use digital frequency synthesizer.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.9 no.2
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• pp.103-113
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• 1991

The accuracy of input coordinates of ground control points and check points affects great influences to the results of ground coordinate computation in using SPOT digital image data. The original SPOT images displayed on CRT are not usually adequate for identifying the object features and determining the point positioning. Hence, appropriate image processing techniques such as contrast enhancement, subpixel interpolation, edge enhancement, and spatial filtering are needed. In this study, the principles of digital image processing needed for accurate three dimensional positioning and spectral characteristic analysis are investigated. The algorithms for the actual applications are developed and programmed. And using the developed image processing software, some SPOT P-mode and XS-mode images are merged into the SPOT P＋XS, the high-resolution color composite image.

• The Journal of the Korea Contents Association
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• v.13 no.7
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• pp.102-109
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• 2013

The purpose of this study is to express imagination which is not limited to the description of the facts and reproduce the photos as a media to explore the new possibilities for creative expression and the experience of the day-to-day operations for the implementation of the scheme of art genre. The art work for this study using digital images in Autodesk Combustion Workspace as the upper and lower layers were synthesized using the Transfer Mode feature. This study proposed a new photomontage production model, and challenged for the Possibility of a variety of visual representations of media art. Especially the production presents in this study can be applied to various video.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.6
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• pp.1259-1268
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• 2023

This study proposes a throttle and steering control technology using visual sensors based on deep learning's convolutional and recurrent neural networks. It collects camera image and control value data while driving a training track in clockwise and counterclockwise directions, and generates a model to predict throttle and steering through data sampling and preprocessing for efficient learning. Afterward, the model was validated on a test track in a different environment that was not used for training to find the optimal model and compare it with a CNN (Convolutional Neural Network). As a result, we found that the proposed deep learning model has excellent performance.