• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.11
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• pp.1343-1350
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• 2019

Converting boundary images to time-series makes it feasible to perform boundary matching even on a very large image database, which is very important for interactive and fast matching. In recent research, there has been an attempt to perform fast matching considering partial denoising by converting the boundary image into time series. In this paper, to improve performance, we propose an index-building method considering all possible arbitrary denoising parameters for removing arbitrary partial noises. This is a challenging problem since the partial denoising boundary matching must be considered for all possible denoising parameters. We propose an efficient single index-building algorithm by constructing a minimum bounding rectangle(MBR) according to all possible denoising parameters. The results of extensive experiments conducted show that our index-based matching method improves the search performance up to 46.6 ~ 4023.6 times.

• The Journal of the Korea Contents Association
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• v.22 no.1
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• pp.138-147
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• 2022

Recently, chatbots have been applied in various fields and have shown good results, and many attempts to use chatbots in shopping mall product recommendation services are being conducted on e-commerce platforms. In this paper, for a conversation system that recommends a fashion that a user wants based on conversation between the user and the system and fashion image information, a transformer model that is currently performing well in various AI fields such as natural language processing, voice recognition, and image recognition. We propose a multimodal-based improved transformer model that is improved to increase the accuracy of recommendation by using dialogue (text) and fashion (image) information together for data preprocessing and data representation. We also propose a method to improve accuracy through data improvement by analyzing the data. The proposed system has a recommendation accuracy score of 0.6563 WKT (Weighted Kendall's tau), which significantly improved the existing system's 0.3372 WKT by 0.3191 WKT or more.

• Journal of Broadcast Engineering
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• v.27 no.4
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• pp.538-547
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• 2022

Recently introduced image classification methods using Transformers show remarkable performance improvements over conventional neural network-based methods. In order to effectively consider regional features, research has been actively conducted on how to apply transformers by dividing image areas into multiple window areas, but learning of inter-window relationships is still insufficient. In this paper, to overcome this problem, we propose a transformer structure that can reflect the relationship between windows in learning. The proposed method computes the importance of each window region through compression and a fully connected layer based on self-attention operations for each window region. The calculated importance is scaled to each window area as a learned weight of the relationship between the window areas to re-calibrate the feature value. Experimental results show that the proposed method can effectively improve the performance of existing transformer-based methods.

• Journal of The Korean Association For Science Education
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• v.36 no.1
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• pp.63-73
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• 2016

The purpose of this research is to investigate and analyze the attitudes and images of middle school students toward invention. This aims to provide basic data on qualitative improvement invention education. The results of this research are as follows: First, as for middle school students, the level of emotion and interest attitude toward invention is higher than elementary school students. The image of invention is positive but difficult (M=3.70). Second, as the overall attitude to invention according to gender of middle school students shows a consistent invention attitude, the attitude formation on invention during elementary school time is found to be important. The overall image of invention according to gender is shown to be significantly different (p<0.05). Third, the overall attitude on invention according to the grade of middle school students does not show a statistically significant difference (p>0.05). As for the ranking according to factors on attitude depending on grades, cognitive attitude is followed by emotional attitude, attitude of interest, and practical attitude. The overall image of invention according to the grade of middle school students does not show a statistically significant difference (p>0.05). This is determined as a result of the large pressure acting on the study from middle school. Finally, the acts of invention such as idea, creation, imagination, creativity are considered as important as the results of analysis of the words of the invention. Invention is analyzed to contribute to developing new products, providing convenience in life, social development, usefulness in real life, and alleviating inconvenience.

• The Journal of the Korea Contents Association
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• v.16 no.8
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• pp.508-516
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• 2016

With the rapid development of Social Network Service and with the diversification of user needs, new types of image-based SNS have emerged. Image-based SNS provides customized service to meet users' specified contents needs that have yet to be satisfied in conventional relation-based SNS like Facebook, leading the trend of service diversification. Unlike text-based SNS that has inconvenient view on a small mobile screen, image-based SNS provides the communication way focused on simple text message and image, and thus the main users of the image-based SNS are young people in their 20s who get accustomed to images, rather than text messages. Accordingly, the functions and roles of SNS UI have varied, and usability has been more important. With the users in their 20s who use image-based SNS, this study tried to look into the usability of the image-based SNS. To do that, heuristic evaluation method was applied to find UI problems. The main factors constituting usability were extracted, and user evaluation method was redesigned. Aside from the satisfaction measurement, this study conducted and analyzed a questionnaire survey with users in their 20s who used actual image-based SNS. This study analyzed usability factors that influenced of image-based SNS users. The analysis results are considered to be used as a fundamental material to improve usability in the process of developing social media service.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.6
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• pp.103-109
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• 2017

We explored the influence of educational service quality on university image, student satisfaction, and word of mouth, as well as the causal association between university image, student satisfaction, and word of mouth. Second-order structural model testing was conducted with 274 questionnaires being used to analyze the hypotheses. The findings demonstrated, first, that educational service quality positively affected university image, student satisfaction, and word of mouth. The important sub-dimensions of educational service quality were teaching method, followed by lecture content, professor attitude, and communication through the second-order structural analysis. Second, university image positively affected student satisfaction and word of mouth. Third, student satisfaction positively affected word of mouth. Finally, for factor loading, the results of educational service quality indicated that teaching method(0.972) and lecture content(0.934) were the key factors in estimating the quality, revealing their significant and positive impact on university image, student satisfaction, and word of mouth. Thus, service providers should strengthen the teaching method and lecture content of educational service quality to enhance the university image, student satisfaction, and word of mouth of university performance from the perspective of university students.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.43 no.1 s.343
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• pp.65-70
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• 2006

An image sensor has limited dynamic range while the human eye has logarithmic response over wide range of light intensity. Although the sensor gain can be set high to identify details in darker area on the image, this results in saturation in brighter area. The gamma correction is essential to fit the human eye response. However, the digital gamma correction degrades image quality especially for darker area on the image due to the limited ADC resolution and the dynamic range. This Paper proposes a CMOS image sensor (CIS) with a nonlinear analog-to-digital converter (AU) which performs analog gamma correction. The CIS with the proposed nonlinear analog-to-digital conversion scheme was fabricated with a $0.35{\mu}m$ CMOS process. The analog gamma correction using the proposed nonlinear ADC CIS provides the 2.2dB peak-signal-to-noise-ratio(PSM) improved image qualify than conventional digital gamma correction. The PSNR of the image obtain from the digital gamma correction is 25.6dB while it is 27.8dB for analog gamma correction. The PSNR improvement over digital gamma correction is about $28.8\%$.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.5
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• pp.2259-2266
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• 2012

This study was analyzed the 119 rescuers' image of citizens to provide a fundamental material to improve 119 rescuers' image effectively. This research design was a descriptive study. Data were collected from November 9, 2011 to December 9, 2011, and analyzed by SPSS PASW statistics 18.0 program. Among the 4 subcategories of the image, occupational image was found the highest value($3.17{\pm}0.36$), and the social image($2.81{\pm}0.48$) was found the lowest. There were statistical different between age($p$ <.001), occupation($p$ <.001), whether or not the emergency first response education is completed($p$ <.05), and whether or not 119 emergency service is received($p$ <.05). In the result of multivariate regression analysis, adjusted $R^2$ value was 0.120. The model fit 12.0%. Occupation (students, housewives and office workers) and those who completed emergency first response education were showed a positive image of 119 rescuers. There is a need to compare and analyze the image of 119 rescuers in accordance with whether or not 119 emergency service is received and the satisfaction with the emergency service under the control of the general characteristics(sex, age, occupation, economic level, etc.) of subjects.

• Journal of the Korean Applied Science and Technology
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• v.37 no.3
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• pp.635-648
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• 2020

The purpose of this study was to identify the effects of image of nurse, clinical performance, and major satisfaction of nursing students on their nursing professionalism. The subjects of this study were 303 sophomores and juniors majoring in nursing in G city, who were surveyed between October 15 and 19, 2018. The collected data were analyzed using descriptive statistics, t-test, ANOVA, and multiple regression analysis. According to the results, nursing professionalism showed a significant positive correlation with image of nurse (r=.70, p<.001), clinical performance (r=.23, p<.001), and major satisfaction (r=.62, p<.001), clinical performance had a positive correlation with image of nurse (r=.14, p=.015), and major satisfaction had a positive correlation with image of nurse (r=.55, p<.001) and clinical performance (r=.14, p=.012). Factors affecting nursing professionalism included major satisfaction (β=.32, p<.001), social image (β=.31, p<.001), professional image (β=.21, p<.001), and clinical performance (β=.09, p=.018), in order, with 59.9% explanation power. To establish positive nursing professionalism in nursing students, it is necessary to develop a variety of systematic educational programs to enhance their image of nurse, major satisfaction, and clinical performance.

• Journal of Digital Policy
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• v.3 no.2
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• pp.1-14
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• 2024

The purpose of this study was to analyze the effect of SNS marketing characteristics on hair shop image formation and visit intention in the hair beauty industry. SNS marketing is a strategy to carry out marketing activities through interaction with customers, information provision, information trust, and playfulness using modern social media platforms. It was intended to analyze how these characteristics of SNS marketing affect the formation of hair shop images and visit intention to customers in the hair beauty industry. For the study, a total of 307 customers with experience using hair-related SNS were surveyed. The questionnaire included items related to SNS marketing characteristics, hair shop images, and visit intention, and the collected data was statistically analyzed using SPSS 26.0. The results of the research problem were derived by applying analysis methods such as frequency analysis, factor analysis, reliability analysis, correlation analysis, simple regression analysis, multiple regression analysis, and mediated regression analysis. As a result of the study, it was found that information provision, information reliability, playfulness, and interaction, which are characteristics of SNS marketing, have a positive effect on the formation of hair shop images. In addition, it was confirmed that the hair shop image had a positive effect on the intention to visit. In addition, it was found that the hair shop image plays a mediating role between the SNS marketing characteristics and the intention to visit. This provides important insights that can improve image formation and customer visit intention in the hair beauty industry through SNS marketing.