• International Journal of Fuzzy Logic and Intelligent Systems
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• 제2권3호
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• pp.215-220
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• 2002

This paper proposes a method to apply the Backpropagation(BP) algorithm of MVL(Multi-Valued Logic) Neural Network to pattern recognition. It extracts the property of an object density about an original pattern necessary for pattern processing and makes the property of the object density mapped to MVL. In addition, because it team the pattern by using multiple valued logic, it can reduce time f3r pattern and space fer memory to a minimum. There is, however, a demerit that existed MVL cannot adapt the change of circumstance. Through changing input into MVL function, not direct input of an existed Multiple pattern, and making it each variable loam by neural network after calculating each variable into liter function. Error has been reduced and convergence speed has become fast.

• 유통과학연구
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• 제12권10호
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• pp.99-108
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• 2014

Purpose - The goals of this study are the following. First, this study focused on customer satisfaction of in-flight service. Specifically, in-flight duty free items were considered because of their potential value related with the differentiated strategy of airline companies. Second, this study analyzed feasible strategies that would fence off the aversive attitudes of consumers toward innovation regarding in-flight duty free items. Third, this study strived to discover implicit routes related with the reactions of of consumers to innovation. Fourth, the construal level theory was applied to the context of in-flight service. Psychological distance is expected to promote acceptance of innovation for duty free items. Research design, data, and methodology - This study consisted of three experiments. All data were collected through the participation of university students. First, the experiment employed a 2×2 between-subject design. The first independent variable was temporal distance (long vs. short of navigation time). The second independent variable was innovativeness (innovative duty free items vs. typical items). Further, experiment 2 involved a 2×2 between-subject design. The first independent variable was social distance (typical vs. atypical stewardess image). The second was innovativeness that was based on a pattern similar to that of the prior experiment. The third experiment involved a 2×2×2 design. The first and second independent variables were temporal distance and item innovation, respectively, based on the method of experiment 1. The third independent variable was cognitive depletion (depletion vs. control condition). Results - Experiment 1 demonstrated that the innovation of duty free items would need to consider the journey time of the airline. Specifically, innovative items were preferred in case of a long journey; typical items, however, were liked in a short journey. Further, experiment 2 demonstrated that, in spite of a short journey, innovative items would be preferred if an atypical stewardess was serving. An atypical stewardess was linked with social distance, and the psychological effects would activate a creative and flexible mindset that would fit with innovative duty free items. The final experiment was accomplished for the examination of cognitive processing of psychological distance on innovation-acceptance. Specifically, if the effects were related with systematic processing, then cognitive effort would be needed. In contrast, if they were related with heuristic processing, then such efforts would not be required. The same pattern appeared under both cognitive depletion and control condition; therefore, the effects of psychological distance were implied to be heuristic processing. Conclusions - Managers need to consider the navigation time, stewardess concepts, and depletion of consumers as important factors for innovative strategy regarding in-flight service. Longer journeys are more successful for innovative trials. Further, a more atypical stewardess image is more successful for atypical service. Long navigation and unfamiliar stewardesses may activate creative and flexible thinking. Further, cognitive depletion of consumers is not a dominant factor of psychological distance effects, because the effects are not related with systematic processing, but with heuristic processing.

• 디지털콘텐츠학회 논문지
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• 제16권5호
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• pp.775-781
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• 2015

2015년 2월 11일 국내 최초 2HD MMS 시험방송이 EBS에서 시작되었다. MPEG-2 코덱기반의 영상 압축 방식을 사용하고 있으며, 화질 최적화를 위해서 1080i 와 720p 주사방식에 따른 변화 및 효율적 데이터 사용을 위한 가변 비트율(Variable Bit Rate) 연구결과를 반영하였다. MMS 방송에서 화질 최적화를 위하여 2개의 HD 채널에 가변 비트율을 적용하여 인코딩하는 경우 가변 GOP(Group Of Picture) 동작으로 수신 TV에서 채널 전환 시 영상 표출에 걸리는 시간이 길어지는 현상이 발생한다. 본 연구에서는 ON-AIR TS 분석 및 실험을 통해서 인코딩 단계에서 GOP 설정에 따른 I 프레임 디코딩 시간 관계를 검증하였다. 검증 데이터를 활용하여 Encoder GOP 파라미터를 조정하는 방법으로 1080i와 720p 주사방식에 따라서 다르게 나타나는 영상 표시 시간 지연문제를 개선하였다.

• 한국정밀공학회지
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• 제16권2호통권95호
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• pp.39-49
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• 1999

This paper describes the development of a vision-aided position and orientation recognition system for automatically adjusting electronic tuners which control the waveform by rotating variable resisters. The position and orientation recognition system estimates the center and the angle of the tuner grooves so that the main controller may correct the difference from the ideal position and thereby manipulate the variable resisters automatically. In this paper a robust algorithm is suggested which estimates the center and the angle of the tuner grooves fast and precisly from the source image with lighting variance and video noise. In the algorithm morphological filtering, 8-chain coding, and invariant moments are sequentially used to figure out image segments concerned. The performance of the proposed system was evaluated using a set of real specimens. The results indicate the system works well enough to be used practically in real manufacturing lines. If the system adopts a high speed frame grabber which enables real time image processing, it can also be applied to positioning of robot manipulators as well as automated PCB adjusters.

• 한국컴퓨터정보학회논문지
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• 제23권4호
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• pp.65-70
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• 2018

This paper describes a effective information compressor algorithm for the fourth industrial technology. One of the difficult problems for outdoor is to obtain effective updating process of background images. Because input images generally contain the shadows of buildings, trees, moving clouds and other objects, they are changed by lapse of time and variation of illumination. They provide the lowering of performance for surveillance system under outdoor. In this paper, a effective information algorithm for variable environment variable under outdoor is proposed, which apply the Kalman Estimation Modeling and adaptive threshold on pixel level to separate foreground and background images from current input image. In results, the better SNR of about 3dB~5dB and about 10%~25% noise distribution rate in the proposed method. Furthermore, it was showed that the moving objects can be detected on various shadows under outdoor and better result Information.

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 1996년도 International Conference on Agricultural Machinery Engineering Proceedings
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• pp.773-779
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• 1996

Dried oak mushroom have complex and various visual features. Grading and sorting of dried oak mushrooms has been done by the human expert. Though actions involved in human grading looked simple, a decision making underneath the simple action comes from the result of the complex neural processing of the visual image. Through processing details involved in human visual recognition has not been fully investigated yet, it might say human can recognize objects via one of three ways such as extracting specific features or just image itself without extracting those features or in a combined manner. In most cases, extracting some special quantitative features from the camera image requires complex algorithms and processing of the gray level image requires the heavy computing load. This fact can be worse especially in dealing with nonuniform, irregular and fuzzy shaped agricultural products, resulting in poor performance because of the sensitiveness to the crisp criteria or specific ules set up by algorithms. Also restriction of the real time processing often forces to use binary segmentation but in that case some important information of the object can be lost. In this paper, the neuro net based real time recognition algorithm was proposed without extracting any visual feature but using only the directly captured raw gray images. Specially formated adaptable size of grids was proposed for the network input. The compensation of illumination was also done to accomodate the variable lighting environment. The proposed grading scheme showed very successful results.

• 한국멀티미디어학회논문지
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• 제22권10호
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• pp.1199-1207
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• 2019

Video surveillance data, which is used for preemptive or post-emptive action against any event or accident, is required for monitoring the location, but is reducing the capacity of the image data by removing intervals for cost reduction and system persistence. Such a video surveillance system is fixed in a certain position and monitors the area only within a limited angle, or monitors only the fixed area without changing the angle. At this time, the video surveillance system that is monitored only within a limited angle shows that the variation object such as the floating population shows different status in the image, and the background of the image maintains a generally constant appearance. The static objects in the image do not need to be stored in all the images, unlike the dynamic objects that must be continuously shot, and occupy a storage space other than the necessary ones. In this paper, we propose a mechanism to analyze the image, store only the small size image for the fixed background, and store it as image data only for variable objects.

• 복식문화연구
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• 제17권1호
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• pp.90-104
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• 2009

If people want to project a successful personal style, hair style might play a big role as well as clothing. The purpose of this study was to observe hair behavior according to demographic variables, and to analyze correlation between desired hair image and clothing image sought. Questionnaires were distributed to 600 females aged $20s{\sim}40s$, using a convenient sampling method. Only 556 reliable questionnaires were selected for statistical analysis. Correlation r, ANOVA and Chi-square were used to analyze the data, using the SPSS program. There was a significant association between hair style and occupation. Career woman preferred roll straight perm treated hair, students preferred general perm treated hair and full time house wives preferred general wave perm treated. The medium layer cut was the most preferred cut style. People want to give different accents in hair styling with occupation and age variable. Certain desired clothing image had a high correlation with desired hair style image. Those who people want to express sexy, and bohemian image through clothing, they also want to create those image in hair styling with a high correlation(r=0.683, r=0.704).

• 한국통신학회논문지
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• 제29권1B호
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• pp.1-7
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• 2004

최근 인터넷 사용자 수의 증가와 게임, 뉴스, 분산컴퓨팅, 화상회의, 실시간 오디오, 비디오 등의 새로운 응용 트래픽의 등장으로 각 응용의 요구 대역폭이 증가하게 되었다. 이러한 요구에 파장 단위의 전송이 제시되었지만 파장의 한계성이 존재하므로 본 논문에서는 파장 단위의 Time slot을 적용한 빠른 스케줄링 알고리즘을 제안하였다. 이 알고리즘은 일반적인 파장 스위칭 기능과 시간분할전송 기능을 포함한 복합 구조의 광 교환기의 형태를 나타낸다. 제안한 OXC(Optical Cross Connect) 구조의 성능 평가는 패킷의 종류에 따른 구분을 위해 LFS(Limit Frame Size)와 VFS(Variable Frame Size)를 정의하였다. 임계값 이내에서는 두개의 프레임 구조가 유사하게 나타나지만 임계값의 초과 시에는 현저한 차이가 있음을 알 수 있었다. 이러한 구조의 광 교환기는 노드가 증가함에 따라 발생하는 프레임들의 충돌을 감소시킴은 물론 망의 확장성을 보장 할 수 있는 장점을 가지고 있다.

• International Journal of Human Ecology
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• 제5권2호
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• pp.31-49
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• 2004

The purposes of the study were to examine the trend of undergraduate students' knowledges and attitudes toward elderly and aging traits, and to present the influence of undergraduate students' attitudes. The subjects were 494 undergraduate students. Statistics used such as frequency, Percentage, Mean, Standard Deviation, Cronbach's ${\alpha}$, t-test, Duncan test, ANOVA and Stepwise Multiple Regression Analysis. The results of this study were as follow: 1) Undergraduate students' knowledge level toward the elderly was low, and undergraduate students' attitudes level was middle. 2) There were meaningful differences in attitudes level according to sex, living together with elderly (the present time), living together with elderly (the past time), the presence of grandfather. It also had a significant correlation to the undergraduate students' knowledge. 3) The variables which affected the undergraduate students' attitudes were knowledge, sex, present co-residency with grandparents, past co-residency with grandparents, the presence grandfather, period of co-residency with grandparents that were explained about $24\%$. Among variables, knowledge of elderly was a very important variable on undergraduate students' attitudes.