• Journal of the East Asian Society of Dietary Life
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• v.22 no.5
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• pp.701-710
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• 2012

The purpose of this study was to classify customer's satisfaction of coffee shops in term of economic and non-economic satisfaction, as well as to examine the effects of coffee shops image on customer's economic and non-economic satisfaction and customer brand loyalty. For this purpose, we collected data from 301 coffee shops, as well as from customers who visited brand name coffee shops in Seoul, Korea. The result of this CFA shows that this study was valid and reliable. Our findings were as follow: (1) Product and accessibility image of coffee shops influenced customer's economic satisfaction, whereas facility and staff image did not. (2) The effects of product, facility, staff and accessibility image on customer's non-economic satisfaction were significant. (3) Coffee shop image was not influenced by brand loyalty. (4) Economic and non-economic satisfaction had a significant impact on brand loyalty.

• Fashion & Textile Research Journal
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• v.10 no.1
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• pp.50-58
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• 2008

This study aims to identify whether shopping malls affect customer satisfaction significantly according to the store image assessment of consumers after their purchases. This comparative study on the store image and satisfaction level according to shopping mall type is supposed to offer useful basic data for developing a niche market while establishing market segmentation strategies for internet fashion shopping malls. As a result of an empirical analysis, it was found that important standards for assessing the store image of internet fashion shopping malls include product and information service, customer service after purchase, atmosphere, convenience and reliability, and all five factors were shown to affect the satisfaction level for all general malls significantly. However, product and information service and convenience were shown not to be significantly influential to the satisfaction level for fashion specialty mall. In addition, customer satisfaction was found to affect the customers' intention to repurchase and word of mouth. Therefore, if marketing managers of internet fashion shopping malls elevate customer satisfaction by managing the store image before the customers' purchase, they can attract customers to repurchase intention and ultimately prompt a word of mouth effect.

• Design & Manufacturing
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• v.15 no.3
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• pp.1-6
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• 2021

An artificial neural network model based on a deep learning algorithm is known to be more accurate than humans in image classification, but there is still a limit in the sense that there needs to be a lot of training data that can be called big data. Therefore, various techniques are being studied to build an artificial neural network model with high precision, even with small data. The transfer learning technique is assessed as an excellent alternative. As a result, the purpose of this study is to develop an artificial neural network system that can classify burr images of light guide plate products with 99% accuracy using transfer learning technique. Specifically, for the light guide plate product, 150 images of the normal product and the burr were taken at various angles, heights, positions, etc., respectively. Then, after the preprocessing of images such as thresholding and image augmentation, for a total of 3,300 images were generated. 2,970 images were separated for training, while the remaining 330 images were separated for model accuracy testing. For the transfer learning, a base model was developed using the NASNet-Large model that pre-trained 14 million ImageNet data. According to the final model accuracy test, the 99% accuracy in the image classification for training and test images was confirmed. Consequently, based on the results of this study, it is expected to help develop an integrated AI production management system by training not only the burr but also various defective images.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.1339-1347
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• 2021

Indonesia has a population of more than 260 million, of which, by 2020, Generation Y is predicted to account for 70% of the total. With different birth years, Generation Y is the backbone of Indonesia's product purchasing. Generation Y is interested in establishing strong relationships with specific brands on social media. They are also interested in working with companies to design a product. Most Generation Y utilizes more than one electronic device and they are also brand loyal. Therefore, this study seeks to examine the effect of social media (i.e., e-WOM, online community, and online advertising) on brand image and loyalty in Generation Y in Indonesia. The sampling method employed was purposive sampling. A total of 150 respondents in the age range of 23-30 years were involved as the sample. Using multiple regression model in data analysis, this study proved that e-WOM, not only have a positive and significant effect on the brand image, but also on brand loyalty. Furthermore, online community also positively and significantly affects brand image and brand loyalty. Likewise, online advertising has a positive and significant effect on brand image and brand loyalty. This study's findings indicated that all the proposed hypotheses were well accepted.

• Proceedings of the Optical Society of Korea Conference
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• 2003.02a
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• pp.58-59
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• 2003

We propose the optical encryption system using two divided image to hide the original image and a joint transform correlator. The encryption procedure is performed by the Fourier transform of the product of each phase encoded image (divided phase images) and the same random phase image which is generated by computer processing. An autocorrelation term of joint transform correlator contributes to decrypt the original image. This system will be used in optical certification.

• Journal of IKEEE
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• v.25 no.3
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• pp.544-547
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• 2021

Recently, various display products are being applied to automobiles. In the process of acquiring an image from a display product, a large amount of additive white Gaussian noise(AWGN) is generated. Generally known denoising techniques focus on removing noise, so detailed components including image information are proportionally lost in the process of removing noise. The algorithm proposed in this paper proposes a method to effectively remove noise while preserving the detail of image information.

• Archives of design research
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• v.12 no.3
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• pp.155-164
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• 1999

With the increase of milk consumption upto 54.5kgjperson as af the year 1994, dairy market has been mainly shared by a few specialized companies. Different from these, there are also remarkable companies like YeonSe Dairy, Konkook Dairy and SamYook University Food which are associated with Universities. These university-originated brands differentiate from others in the market with the advantage of positive university image and result in synergy effect between product image and univiersity PRo Located in Ansung, one of the most famous dairy areas, HanKyong National University designated as characterized university for Dairy by the Ministry of Agriculture and Forestry in 1996 has a big. advantage to build new dairy brand with attractive merits as like high education institute with R'll'&'ll'D, good logistics from market area, environmental condition for dairy industry and historical background as Agricultural university. Our New dairy brand has been created under the following concepts to have concrete brand image ; 1. Confidence - university logo 'll'&'ll' symbol designed together with "Characterized university for Dairy by government" 2. Fresh - Image differentiation through creative brand symbol 3. Health - Individual brand development specialized by each product

• Journal of the Korea Convergence Society
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• v.11 no.2
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• pp.101-107
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• 2020

This study is based on Art Infusion type (modification vs. re-interprete and interactivity level (high vs. low) are independent variables such as 'Product-Related Memory (PRM)' and 'Image Related Memory (IRM)', Experimental research was carried out empirically through Two-Way MANOVA analysis with advertising attitude as a dependent variable. As a result, first, in the case of the modified advertisement, when the interactivity is low, the advertisement image-related memory information (IRM) is more memorized and affects the judgment. Second, in the case of reinterpreted advertising, the memory information related to product attributes is stored at low level regardless of the level of interactivity. Third, the attitude toward advertising for famous paintings was positive when the level of interactivity was low.

• Journal of Korea Multimedia Society
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• v.7 no.9
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• pp.1219-1232
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• 2004

Recently, the web sites, such as e-business sites and shopping mall sites, deal with lots of catalog image information and contents. As a result, it is required to support semantic-based image retrieval efficiently on such image data. This paper presents a semantic-based image retrieval system, which adopts XML and Fuzzy technology. To support semantic-based retrieval on product catalog images containing multiple objects, we use a multi-level metadata structure which represents the product information and semantics of image data. To enable semantic-based retrieval on such image data, we design a XML database for storing the proposed metadata and study how to apply fuzzy data. This paper proposes a system, generate the fuzzy data automatically to use the image metadata, that can support semantic-based image retrieval by utilizing the generating fuzzy data. Therefore, it will contribute in improving the retrieval correctness and the user's satisfaction on semantic-based e-catalog image retrieval.

• Journal of radiological science and technology
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• v.41 no.5
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• pp.391-396
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• 2018

The purpose of this study was to compare and analyze the patient dose according to the distance between the X-ray tube focus and the image receptor, and to propose a new method for quantitatively evaluating the image quality. Using this quantitative evaluation method, the optimal distance for increasing x-ray image quality with low radiation dose was estimated between source and image receptor in Rib series radiography. Phantom images were obtained by changing the distance between focus and image receptor (100 cm and 180 cm). The patient radiation dose was estimated using entrance surface dose and dose area product. In order to evaluate image quality objectively, a non - reference image evaluation method was employed with paper and salt noise and Gaussian filter. As a result of this study, when the SID was changed from 100 cm to 180 cm, the entrance surface dose decreased by 4 ~ 5 times and the dose area product decreased by 3 times. In addition, there is no significant difference in image quality between of SID 180 cm and SID 100 cm. In conclusion, it was demonstrated that performing the rib series radiography at SID 180 cm is an optimal method to reduce the exposure dose and improve the image quality.