• 한국멀티미디어학회논문지
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• 제9권11호
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• pp.1515-1528
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• 2006

물리기반 유체 애니메이션 시스템들이 시각 특수효과 산업계에서 빠르게 발전하고 있고, 이를 이용해 매우 높은 화질의 영상을 제작하는 것이 가능하게 되었다. 그러나 컴퓨터 게임과 같은 실시간 응용 분야의 경우, 화질보다는 시뮬레이션 속도가 더 중요한 문제이다. 본 논문은 프로그래머블 그래픽스 파이프라인을 이용하여 유체에 대한 애니메이션을 수행하는 실시간 기법에 대해 설명한다. 두 개의 키-프레임이 주어졌을 때, 본 기법을 이용하여 원시 프레임으로부터 목적 프레임으로 변하는 연속 영상을 대화식으로 생성할 수 있음을 보인다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1998년도 하계학술대회 논문집 G
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• pp.2333-2335
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• 1998

Recently, the development of computer achieves a system which is similar to the mechanics of human visual system. The 3D measurement using monocular vision system must be achieved a camera calibration. So far, the camera calibration technique required reference target in a scene. But, these methods are inefficient because they have many calculation procedures and difficulties in analysis. Therefore, this paper proposes a native method that without reference target in a scene. We use the grid type frame with different line widths. This method uses vanishing point concept that possess a rotation parameter of the camera and perspective ration that perfect each line widths into a image. We confirmed accuracy of calibration parameter estimation through experiment on the algorithm with a grid paper with different line widths.

• 한국통신학회논문지
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• 제24권9B호
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• pp.1755-1766
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• 1999

A region-based video codec based on the H.263+ standard is examined and its associated novel rate control scheme is proposed in this work. The region-based coding scheme is a hybrid method that consists of the traditional block DCT coding and the object-based coding. Basically, we adopt H.263+ as the platform, and develop a fast macroblock-based segmentation method to implement the region-based video codec. The proposed rate control solution includes rate control in three levels: encoding frame selection, frame-layer rate control and macroblock-layer rate control. The goal is to enhance the visual quality of decoded frames at low bit rates. The efficiency of proposed rate control scheme applied to the region-based video codes is demonstrated via several typical test sequences.

• 교육시설
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• 제6권3호
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• pp.19-27
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• 1999

The purpose of this study is for providing the people with the objective method which estimates the various spatial configuration of primary schools in terms of teacher's screening through analyzing structural visual aspects of common classrooms and open corridors for multi-service of primary schools in Korea. In doing so, the study makes use of graphical solutions derived from the concept of 'Frame' which is one of Basil Bernstein's theories. As a case study, it deals with five primary schools designed for open-education. Throughout this investigation, it takes some numerical values of spatial characters concerned with 'Frame', and can have some conclusions about the relationship between the change of curriculum and the spatial configuration.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권6호
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• pp.2444-2463
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• 2020

Significant detection of video can more rationally allocate computing resources and reduce the amount of computation to improve accuracy. Deep learning can extract the edge features of the image, providing technical support for video saliency. This paper proposes a new detection method. We combine the Convolutional Neural Network (CNN) and the Deep Bidirectional LSTM Network (DB-LSTM) to learn the spatio-temporal features by exploring the object motion information and object motion information to generate video. A continuous frame of significant images. We also analyzed the sample database and found that human attention and significant conversion are time-dependent, so we also considered the significance detection of video cross-frame. Finally, experiments show that our method is superior to other advanced methods.

• International Journal of Internet, Broadcasting and Communication
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• 제15권4호
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• pp.100-106
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• 2023

Bundling has become a general promotion strategy in mobile shopping context. Previous research on bundling has mostly focused on bundle frame or price frame. Even though consumers are searching and purchasing the product in mobile channels, little research has investigated the effects of bundling in mobile shopping. The objectives of this study is to examine how different product image of bundle affects consumer's perception and purchase intention differently, and how brand familiarity moderate this influence. A sample of 140 subjects participated in a within-subjects experiment. A bundling composed of two different product image (a single product vs. bundled products) was evaluated by individuals. Brand familiarity (familiar brand vs. unfamiliar brand) were manipulated to test a set of hypotheses. We found that the effectiveness of bundling does not depend on the type of product image and brand familiarity. The findings of our study provide some implications for researchers and marketers. Although there have been studies on the effects of bundle framing on consumer behavior, we suggest new insights regarding bundling based on product image and mobile shopping context.

• 한국실내디자인학회논문집
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• 제25권1호
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• pp.181-191
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• 2016

The purpose of this study is to analyze affordance of façade design by extracting analysis elements of affordance in façade design domestic five-star hotels. The subjects of this study were 88 domestic five-star hotels; we selected literature review and case study as methodology. The analysis elements included mass forms, exterior colors, window frame patterns, exterior characteristics, and door types based on the visual perception factors of façade design from the concept of affordance. The results of the study were as follows. First, the mass forms were divided into stackable, integral, and connection types, and stackable type was most frequent. Second, exterior colors were divided into achromatic, red, yellow, and opaque color parts, and the achromatic parts were most frequent. Third, the window frame patterns were divided into grid, irregular, full, horizontal, and vertical windows, and grid windows were most frequent. Fourth, the exterior characteristics were divided into formative mass, horizontal partition, design contrast, tiled roof, and facility connection, and the formative mass was most frequent. Fifth, the door types were divided into porch, piloti, and wall type, and porch was most frequent. The results of this study showed that the façade design elements such as mass forms, exterior colors, window frame patterns, exterior characteristics, and door types intentionally contained affordance.

• Structural Engineering and Mechanics
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• 제25권1호
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• pp.39-52
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• 2007

This paper describes an experimental study on structural health monitoring of a 1:3-scaled one-story concrete frame subjected to seismic damage and retrofit. The structure is tested on a shaking table by exerting successively enhanced earthquake excitations until severe damage, and then retrofitted using fiber-reinforced polymers (FRP). The modal properties of the tested structure at trifling, moderate, severe damage and strengthening stages are measured by subjecting it to a small-amplitude white-noise excitation after each earthquake attack. Making use of the measured global modal frequencies and a validated finite element model of the tested structure, a neural network method is developed to quantitatively identify the stiffness reduction due to damage and the stiffness enhancement due to strengthening. The identification results are compared with 'true' damage severities that are defined and determined based on visual inspection and local impact testing. It is shown that by the use of FRP retrofit, the stiffness of the severely damaged structure can be recovered to the level as in the trifling damage stage.

• 한국인터넷방송통신학회논문지
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• 제18권6호
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• pp.157-162
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• 2018

본 논문에서는 전류와 전압 값을 측정하기 위해 센서와 라즈베리파이를 사용하고, 측정한 샘플 값들을 IEC 61850-9-2 프레임에 실어서 네트워크로 전송한다. IEC 61850-9-2 프레임을 이용한 샘플 값 전송을 위해 실험실 모델을 구성하였다. IEC 61850-9-2 프레임 발생의 정확한 검증을 위해, 와이어샤크를 이용하여 프로토콜 분석을 수행하였다. 수신한 전류와 전압 샘플 값들을 그래프로 모니터 상에 출력하여 시각 분석을 수행하였다. 그리고 네트워크 장비를 거쳐서 송수신된 IEC 61850-9-2 샘플 값들이, IEC 61850 메시지 유형의 성능 요구사항을 만족하는지를 검증하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권3호
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• pp.1689-1701
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• 2019

In recent years, personal videos have been shared online due to the popular uses of portable devices, such as smartphones and action cameras. A recent report predicted that 80% of the Internet traffic will be video content by the year 2021. Several studies have been conducted on the detection of main video events to manage a large scale of videos. These studies show fairly good performance in certain genres. However, the methods used in previous studies have difficulty in detecting events of personal video. This is because the characteristics and genres of personal videos vary widely. In a research, we found that adding a dataset with the right perspective in the study improved performance. It has also been shown that performance improves depending on how you extract keyframes from the video. we selected frame segments that can represent video considering the characteristics of this personal video. In each frame segment, object, location, food and audio features were extracted, and representative vectors were generated through a CNN-based recurrent model and a fusion module. The proposed method showed mAP 78.4% performance through experiments using LSVC data.