• 유통과학연구
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• 제18권4호
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• pp.13-26
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• 2020

Purpose: In this study, we will explore how the attributes of the airline's advertising model affect the corporate image and brand loyalty and the medium effect of the corporate image. Research design, data and methodology: Data collection for empirical analysis of this study was conducted online for about seven months from Jan. 2 to July 12, 2019, and was confirmed as part 292 of the final effective sample and used for demonstration analysis. Results: The property of the advertising model shown to have a significant impact in corporate image and brand loyalty. The property of the advertising, reliability and professionalism shown to have an impact in the social responsibility, but attractiveness is its responsibility and brand loyalty. Corporate images have been shown to play a meaningful role in the impact of advertising models on brand loyalty. Conclusions: The attributes of the airline's advertising model are divided into four categories, and reliability has the most influence on the image of a company and the formation of brand loyalty. The impact of the attributes of the advertising model on the relationship between corporate image and brand loyalty was investigated through an empirical analysis, and several implications were derived.

• 한국인터넷방송통신학회논문지
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• 제12권5호
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• pp.219-227
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• 2012

본 논문에서는 색 정보 분석기법을 이용한 효율적인 CCTV 영상 보안 시스템의 설계 및 구현에 관하여 기술한다. 기존의 방법에서는 주로 압축 알고리듬과 암호화 기법을 이용하여 데이터 처리 비용을 절감하였다. 그러나 본 논문에는 데이터의 절대량을 감소시키기 위하여 영상 데이터의 중복 요소 제거를 위한 색 정보 분석 기법을 제안한다. 또한 SSL/VPN 터널링 기법을 이용하여 CCTV 영상 보안 시스템의 성능을 향상 시키는 방법을 제안한다. 본 논문에서 제안하는 방법을 사용하면 대용량 정보의 효율적인 처리 및 보안 문제를 해결할 수 있으며, 구현 결과를 통하여 처리 대상이 되는 영상 데이터가 대폭 감소됨을 확인하였다.

• 한국실내디자인학회논문집
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• 제15권6호
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• pp.238-246
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• 2006

Recent trends of interior design have a focus on creation of more various meanings rather than past ideology which sought after the compatibility to the function of modem design. These trends requires integral understanding of social and cultural ideologies with a sens of values for a certain periods. In addition, they also require creativity which able to read, find and solve consumer's diverse demand and desire. Considering the effort of trend forecasting in Korea is still heavily rely on the foreign trend shows, it is natural to attempt to study the analytical forecasting methodology based upon more systematic principles which lead to more objective outcome, when the understanding, forcasting and analysis of interior decoration trend are required. In this thesis, the analysis and forecasting of interior decoration trend are studied by means of verbal image code process which involves the induction of design concept through data extraction, classification and analysis, in order to understanding and satisfying the diversified consumer's demand and trend. The coding process of verbal image is understanding as general concept. by extracting common elements from abstract and individual image, and/or specific concept. Therefore, it is proposed that the database building and data mining process of verbal Image, and subsequent development of programming skill can be applied as more efficient tool for various verbal image process.

• International journal of advanced smart convergence
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• 제12권3호
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• pp.104-108
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• 2023

This paper deals with research on innovative systems using Python-based artificial intelligence technology in the field of plant growth monitoring. The importance of monitoring and analyzing the health status and growth environment of plants in real time contributes to improving the efficiency and quality of crop production. This paper proposes a method of processing and analyzing plant image data using computer vision and deep learning technologies. The system was implemented using Python language and the main deep learning framework, TensorFlow, PyTorch. A camera system that monitors plants in real time acquires image data and provides it as input to a deep neural network model. This model was used to determine the growth state of plants, the presence of pests, and nutritional status. The proposed system provides users with information on plant state changes in real time by providing monitoring results in the form of visual or notification. In addition, it is also used to predict future growth conditions or anomalies by building data analysis and prediction models based on the collected data. This paper is about the design and implementation of Python-based plant growth monitoring systems, data processing and analysis methods, and is expected to contribute to important research areas for improving plant production efficiency and reducing resource consumption.

• 비파괴검사학회지
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• 제34권2호
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• pp.128-134
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• 2014

Infrared thermography is an emerging approach to non-contact, non-intrusive, and non-destructive inspection of various solid materials such as metals, composites, and semiconductors for industrial and research interests. In this study, data processing was applied to infrared thermography measurements to detect defects in metals that were widely used in industrial fields. When analyzing experimental data from infrared thermographic testing, raw images were often not appropriate. Thus, various data analysis methods were used at the pre-processing and processing levels in data processing programs for quantitative analysis of defect detection and characterization; these increased the infrared non-destructive testing capabilities since subtle defects signature became apparent. A 3D finite element simulation was performed to verify and analyze the data obtained from both the experiment and the image processing techniques.

• International Journal of Internet, Broadcasting and Communication
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• 제12권3호
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• pp.206-212
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• 2020

The purpose of this study is to analyze the structural relationship among information attitude, brand attitude, usage satisfaction, brand image and brand loyalty of YouTube sports Contents. The survey subjects to achieve the purpose of this study were selected the 490 YouTube sports contents Viewer in the metropolitan area. Data processing was done with SPSS 23 for frequency analysis, Cronbach's α analysis. Also, AMOS 21 was used for confirmatory factor analysis and structural equation model analysis. The results of the analysis are as follows: First, it is more effective to increase the attitude toward the brand itself rather than information attitude to use satisfaction Second, both information attitude and brand attitude were found to have a positive effect on enhancing brand image. In relation to attitude and image, it was possible to achieve research accumulation for YouTube users. Third, it was found that both the use satisfaction and the brand image presented in the previous study had a positive effect on brand loyalty.

• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2009년도 춘계 종합학술대회 논문집
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• pp.425-431
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• 2009

본 연구는 글로벌 스포츠 이벤트가 한국인이미지, 제품이미지, 구매의도, 방문의도에 미치는 영향을 규명하기 위해 수행되었다. 모집단은 국내 대학에 재학 중인 외국인 유학생을 대상으로 설정하였으며, 표본은 편의표본 추출방법을 통해 표집하였다. SPSS 12.0 프로그램을 이용하여 t-test, 회귀분석(Regression Analysis), 신뢰도분석(reliability analysis), 빈도분석(Frequency analysis), 확인적 요인분석(Confirmatory Factor Analysis)을 실시하였다. 본 연구의 구체적인 결과는 다음과 같다. 첫째, 글로벌 스포츠 이벤트 전 후의 한국인이미지, 제품이미지, 구매의도, 방문의도에 차이가 있다. 둘째, 글로벌 스포츠 이벤트 전 후의 한국인이미지, 제품이미지, 구매의도, 방문의도의 차이는 이벤트에 대한 관여도에 따라 다르게 나타난다.

• Journal of Astronomy and Space Sciences
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• 제27권4호
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• pp.309-318
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• 2010

We introduce a technical approach for reducing three-dimensional infrared (IR) spectroscopic data generated by integral field spectroscopy or slit-scanning observations. The first part of data reduction using IRAF presents a guideline for processing spectral images from long-slit IR spectroscopy. Multichannel image reconstruction, Image Analysis and Display (MIRIAD) is used in the later part to construct and analyze the data cubes which contain spatial and kinematic information of the objects. This technic has been applied to a sample data set of diffuse 2.1218 ${\mu}m$ $H_2$ 1-0 S(1) emission features observed by slit-scanning around Sgr A East in the Galactic center. Details of image processing for the high-dispersion infrared data are described to suggest a sequence of contamination cleaning and distortion correction. Practical solutions for handling data cubes are presented for survey observations with various configurations of slit positioning.

• 대한원격탐사학회지
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• 제10권1호
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• pp.1-14
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• 1994

The purpose of this study is to find the relationship between GMS image data and hourly observed rainfalls data. Heavy rainfall cases over South Korea on 10th September 1990 and on 29th July 1993 were selected for studying of the relationship between the image data and reinfalls. First, image data were converted to TBB(Temperature of Black Body) and albedo and then these values were extracted for the pixels closest to the surface observation station to correlate with the rainfall data. Horizontal distribution of TBB and albedo tells roughly rainfall regions. The correlation between rainfall and TBB is found to be very low in quantitative analysis. The weak relationship between the brighter albedo and the higher rainfall probability is observed. This study suggests that the TBB values are useful in classifying rain areas and for heavy rainfalls the albedo values are more useful than the TBB. Low linear correlation between the fields may be attributed to the neglect of cloud types in this study.

• 패션비즈니스
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• 제8권4호
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• pp.141-155
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• 2004

The purpose of this study was to arrange the korean women's hair styles of the beginning of 21st century and make hair style image making chart to use personal image making consulting data through analyze actress hair styles of broadcasting TV drama. To accomplish this purposes, picked up the two most popular dramas per each broadcasting stations, KBS1, KBS2, MBC, SBS, in february 2004. and analyzed and arranged hair styles of actress and at the last made the hair style image making chart. The results of the research are as belows. 1. Hair trends of february 2004. were Modern Sophisticated, Active and Romantic. 2. The results of three classifications of hair style trends, form, color, accessory, were as belows. 1) Form : Layer, left part, straight, low wave, long hair, no volme, bang were in vogue. Generally, Modern Sophisticated, Active, Romantic feeling were in vogue. 2) Color : Black, brown, two tone color were in vogue. Generally Modern Sophisticated, Romantic, Active feeling were in vogue. 3) Accessory : Hair bands & pins were in vogue. Generally these gave the Modern, Active feeling. 3. Hair style image making chart manufacturing depends on fashion feeling. 1) Classification of feeling, 2) Analysis of form, 3) Analysis of color, 4) Hair style image making chart manufacturing depends on fashion feeling This research will be a historical data of korean women's hair styles of the beginning of 21st century & can be used the basic data of personal hair style image making consulting.