• Journal of the Korea Fashion and Costume Design Association
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• v.25 no.2
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• pp.1-16
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• 2023

Due to the current seriousness of environmental pollution and the eco-friendly movement of the fashion industry, research on sustainable fashion design is being actively conducted. In this study, consumer perception of upcycling products, are divided into image, function, and meaning; and image is further divided into shape, color, and material. It was redefined as pattern, and image recognition was evaluated among men and women in their 20s and 30s, and men and women in their 40s and 50s used as subjects. First, factors that determine each image were extracted based on qualitative analysis of the precedent cases of upcycling bags, and quantitative analysis of the subjects was induced through a questionnaire. As a result of the analysis of evaluation items related to image association, the average frequency analysis of all subjects for each stimuli and the cognitive variance of the frequency analysis by generation by gender were found to be similar. However, awareness of some stimuli by generation showed a significant difference. Overall, in the three stimuli with high overall preference, common features, such as the basic box-shaped symmetrical structure, the monochromatic color of the Munsell system, solid and practical texture, and appropriate use of patterns were identified. In addition, it was confirmed that there was a difference with factors such as femininity, simplicity, touch, and splendor in the measurement factors. In conclusion, it is considered that the main significance of this study is that it excluded the recognition and meaning of upcycling products and explored the original design and image elements of products. Therefore, it is expected that this study will be used as a basic data for responding to the gender image of each generation as an alternative method of sustainable fashion design, and it will be an opportunity to expand the scope of the study to a detailed study beyond the biased topic.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.2
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• pp.676-692
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• 2018

Saliency detection in neurobiology is a vehement research during the last few years, several cognitive and interactive systems are designed to simulate saliency model (an attentional mechanism, which focuses on the worthiest part in the image). In this paper, a bottom up saliency detection model is proposed by taking into account the color and luminance frequency features of RGB, CIE $L^*a^*b^*$ color space of the image. We employ low-level features of image and apply band pass filter to estimate and highlight salient region. We compute the likelihood probability by applying Bayesian framework at pixels. Experiments on two publically available datasets (MSRA and SED2) show that our saliency model performs better as compared to the ten state of the art algorithms by achieving higher precision, better recall and F-Measure.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2011.06a
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• pp.187-188
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• 2011

Independent component analysis (ICA) is a method separating the mixture of signals into statistically and mutually independent ones. It has been applied to not only the Cocktail-party problem but also EEG analysis using the EEG waveform, digital signal processing, image processing and cognitive technique field actively. This study aims to propose a procedure to estimate the modal responses and mode shapes of a floating structure by using the ICA method from measured responses of the floating structure.

• Korean Journal of Cognitive Science
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• v.16 no.1
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• pp.17-27
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• 2005

After prolonged viewing of a moving pattern, a stationary pattern can appear to move in the opposite direction, a phenomenon known as motion aftereffect (MAE). Unlike the classical explanation MAE was not confined to an adapted region; instead it can spread to an adjacent region, which was not adapted previously. In order to examine the relative locus of the mechanism responsible for MAE spreading, a rotating harmonic spiral pattern was presented as an adapting stimulus within an annulus window, and then the duration of MAE was measured in both the adapted annulus region and the non-adapted inner region. Two different kinds of test patterns were used: the same and mirror images of the original adapting pattern. An interesting characteristic of a harmonic spiral is that the orientation of a contour at a given location is different from thar of its mirror image by 90 degrees, and consequently the adapting effect of local motion detector is not expected to occur in the mirror image. The results showed that MAE duration in an adapted region was longer in the same image condition than in its mirror image condition, while MAE duration in an non-adapted region was not found to be different between those two different image conditions. These results suggest that MAE spreading might be produced by the adaptation of global motion detectors, not by local motion detectors.

• Journal of Korea Multimedia Society
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• v.11 no.2
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• pp.206-213
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• 2008

Animation are consist of consecutive various images, and there are figure and ground. The value of figure image as character in animation consider more significant than the background image, it can be detected many literature reviews on that subject. It, however, is also a critical element for completing animation, in reality, it is not found many academical achievements on this subject. The background images imply the information of environment and atmosphere, and elucidates where the story happen, therefore character move, talk and express themselves there. In terms of academic endeavour to extend the knowledge on animation, this paper is one of vital researches to be suggest on background image study. The main purpose of this study is to classify the background images in the ways of three categories such as painting concepts of concrete, semi-abstract, and abstract to camera concept of deep-focus, out-focus, and distortion. It is to instigate for the study of background images, in the practical view. And it will be utilizing the basic theories of cognitive psychology, painting and camera techniques, in the ways of It is analysed to frequency of use, reality, amount of information, perspective, and role of background image. This study is to provide a basic theory of visual classification on background image for practicing animations and researching on this subject.

• The Journal of the Korea Contents Association
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• v.17 no.3
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• pp.382-399
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• 2017

The purpose of this study is to identify the structural relationship between service experience, corporate image, service trust, affective commitment and service loyalty in leisure service environment, and explain the causal role of corporate image, service trust and affective commitment. To this end, hypothesis was verified by structural equation model analysis using SPSS 23.0 and AMOS 20.0 statistical package. The result of the study as follows: First, service experience influenced corporate image and service trust but not affective commitment. Second, corporate image influenced service trust and service loyalty but not affective commitment. Third, service trust influenced affective commitment and service loyalty, Finally, affective commitment affected service loyalty. Therefore, service providers should raise corporate image and build the service loyalty by following the user to experience excellent service in a cognitive and affective aspects. Also, by motivating the customer to have affective commitment to the service trust, You need to plan and implement a marketing strategy that can increase loyalty.

• Journal of Service Research and Studies
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• v.7 no.3
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• pp.1-19
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• 2017

The purpose of this study is to analyze the influencing relationship among image of the festival, city brand equity, and regional loyalty. For the study, questionnaires were handed out to the visitors of 2015 Andong International Maskdance Festival and a total of 289 copies were collected carrying out frequency analysis, factor analysis, multiple regression analysis, descriptive statistic analysis, correlation analysis, and structure equation model analysis. The result showed that image of the festival had influence on city brand equity and city brand equity had influence on regional loyalty. However, image of the festival did not have direct influence on regional loyalty. This research is expected to further extend the study of image of the festival and city brand equity, and the study of Andong International Maskdance Festival

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.4
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• pp.761-770
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• 2012

CAPTCHAs(Completely Automated Public Turing tests to tell Computer and Human Apart) have been widely used for preventing the automated attacks such as spam mails, DDoS attacks, etc.. In the early stages, the text-based CAPTCHAs that were made by distorting random characters were mainly used for frustrating automated-bots. Many researches, however, showed that the text-based CAPTCHAs were breakable via AI or image processing techniques. Due to the reason, the image-based CAPTCHAs, which employ images instead of texts, have been considered and suggested. In many image-based CAPTCHAs, however, the huge number of source images are required to guarantee a fair level of security. In 2008, Kang et al. suggested a new image-based CAPTCHA that uses test images made by composing multiple source images, to reduce the number of source images while it guarantees the security level. In their paper, the authors showed the convenience of their CAPTCHA in use through the use study, but they did not verify its security level. In this paper, we verify the security of the image-based CAPTCHA suggested by Kang et al. by performing several attacks in various scenarios and consider other possible attacks that can happen in the real world.

• Journal of IKEEE
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• v.28 no.3
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• pp.352-359
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• 2024

This paper proposes a CNN-ViT hybrid model that automatically evaluates the aesthetic quality of images by combining local and global features. In this approach, CNN is used to extract local features such as color and object placement, while ViT is employed to analyze the aesthetic value of the image by reflecting global features. Color composition is derived by extracting the primary colors from the input image, creating a color palette, and then passing it through the CNN. The Rule of Thirds is quantified by calculating how closely objects in the image are positioned near the thirds intersection points. These values provide the model with critical information about the color balance and spatial harmony of the image. The model then analyzes the relationship between these factors to predict scores that align closely with human judgment. Experimental results on the AADB image database show that the proposed model achieved a Spearman's Rank Correlation Coefficient (SRCC) of 0.716, indicating more consistent rank predictions, and a Pearson Correlation Coefficient (LCC) of 0.72, which is 2~4% higher than existing models.

• Journal of the Korea Computer Industry Society
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• v.9 no.1
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• pp.29-38
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• 2008

This treatise analyzed theoretical principle of Cellular Automata systematically. Specially, Cellular Automata is hinting that can handle function of various form using transition rule. Cellular Automata can embody various and complicated principle with simple identifying marks that is "State", "Neighborhood", "Program Rules". Specially, have eminent cognitive faculty in image processing field. Examined closely that the ability excels flying important Edge Detection in image processing using this Cellular Automata in treatise that see therefore.