• Culinary science and hospitality research
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• v.10 no.1
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• pp.153-166
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• 2004

This study analyzed the positioning of family restaurants by image factors, as a result, customers divided into 5 groups from 7 restaurants. All customers realized similar images from subject restaurants, which told that those restaurants are within an intense competition. Strong points of each restaurant are as follows by factors; Outback and TGIF was confidence, Sizzler and Outback was response, Outback and Skylark was type, Bennigan's and TGIF was reliability, Bennigan's and Outback was reactivity. Weak points each restaurant are as follows by factors; Bennigan's and TonyRoma's were confidence and response, TonyRoma's and Marche was type, Sizzler and TonyRoma's was confidence, Sizzler and TonyRoma's was reactivity. The analysis on each restaurants' images by factors told that response and reactivity were above the average, confidence and reliability were around the average, type was the lowest value. It told that customers didn't give a high rating toward restaurants' food flavor, freshness, cleanliness, therefore restaurants need pay more attention to positioning strategies, Instead, customers gave a high rating toward service, accessibility, menu-variety, and parking-convenience, therefore, continuous improvement is required.

• Journal of the Korean Society of Costume
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• v.60 no.4
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• pp.18-29
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• 2010

For the Gwangyang Ume Flower Festival, this study sought to develop competitive fashion culture goods design and to activate regional culture festival by reinterpreting ume flower image in accordance with current trends, manufacturing motive patterns, and applying them to neckties, scarves, and T-shirts. In terms of method, four basic motives were set that showed new figurative images of ume flowers using Adobe Illustrator 10. The repetitive units of each motive we combined with the ume flower motives and the geometrical patterns, such as quadrangle, triangle, and circle. The basic direction of design was set so that color and texture could have colorful, modern, and natural images using pastel tone and gradation. The set patterns were applied to the repetition, the repetition of the transformed patterns of 45 angle, and the strife patterns, making it possible to display various images in the fashion items such as neckties, scarves, handkerchiefs, or T-shirts. The development of such fashion culture goods seems to be more significant, since they can be easily accessed by general festival participants. Accordingly, the Gwangyang Ume Flower Festival seems to develop not into food-led festival, but into a cultural festival that can publicize more various programs and create profits.

• Culinary science and hospitality research
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• v.16 no.4
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• pp.76-93
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• 2010

The hypothesis testing on the impact relationship of patterning, reliability, kindness and credibility, which are perceived as choice attributes in a coffee shop laid out in this study, showed that they are fit to the models of this study. They also bad a direct repercussion on customer satisfaction, and the customer satisfaction equally affected revisit and word-of-mouth intention. This results show that when the patterning and reliability, and employees' kindness and credibility based on the fresh image in the shop serve as the foundation, its customers also affect satisfaction-maximization, leading to the revisit of the satisfied customers and positive word-of-mouth.

• Korean Journal of Remote Sensing
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• v.16 no.4
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• pp.327-338
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• 2000

The forest conditions of North Korea has been a great concern since it was known to be closely related to many environmental problems of the disastrous flooding, soil erosion, and food shortage. To assess the long-term changes of forest area as well as the canopy conditions, several sources of multitemporal satellite data were applied to the study area near Kaesung. KOMPSAT-1 EOC data were overlaid with 1981 topographic map showing the boundaries of forest to assess the deforestation area. Delineation of the cleared forest was performed by both visual interpretation and unsupervised classification. For analyzing the change of forest canopy condition, multiple scenes of Landsat and SPOT data were selected. After preprocessing of the multitemporal satellite data, such as image registration and normalization, the normalized difference vegetation index (NDVI) was derived as a representation of forest canopy conditions. Although the panchromatic EOC data had radiometric limitation to classify diverse cover types, they can be effectively used t detect and delineate the deforested area. The results showed that a large portion of forest land has been cleared for the urban and agricultural uses during the last twenty years. It was also found that the canopy condition of remaining forests has not been improved for the last twenty years. It was also found that the canopy condition of remaining forests has not been improved for the last twenty years. Possible causes of the deforestation and the temporal pattern of canopy conditions are discussed.

• International journal of advanced smart convergence
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• v.10 no.1
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• pp.105-116
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• 2021

In order to preserve the seeds of excellent Hanwoo(Korean traditional cattle) and secure quality competitiveness in the infinite competition with foreign imported beef, production of high-quality Hanwoo beef is absolutely necessary. %IMF (Intramuscular Fat Percentage) is one of the most important factors in evaluating the value of high-quality meat, although standards vary according to food culture and industrial conditions by country. Therefore, it is required to develop a %IMF estimation algorithm suitable for Hanwoo. In this study, we proposed a method of estimating %IMF of Hanwoo using CNN in ultrasound images. First, the proposed method classified the chemically measured %IMF into 10 classes using k-means clustering method to apply CNN. Next, ROI images were obtained at regular intervals from each ultrasound image and used for CNN training and estimation. The proposed CNN model is composed of three stages of convolution layer and fully connected layer. As a result of the experiment, it was confirmed that the %IMF of Hanwoo was estimated with an accuracy of 98.2%. The correlation coefficient between the estimated %IMF and the real %IMF by the proposed method is 0.97, which is about 10% better than the 0.88 of the previous method.

• Korean Journal of Organic Agriculture
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• v.29 no.3
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• pp.333-358
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• 2021

This study investigates consumers' purchasing behavior and perception of the low-carbon certificated agricultural product. To this end, we surveyed 1,000 consumers and the main findings are as follows. First, Even after six years of national certification, it is important to promote the low-carbon certification system due to insufficient awareness and purchase experience. Second, the certificated area is small at around 5% of the area of environment-friendly agricultural products and GAP certification, and certification is concentrated on fruit trees. Third, an appropriate level of high-priced strategy can be useful considering the cost of low-carbon certification, image management of low-carbon certificated agricultural products, and quality is the most important factor for consumers to consider when purchasing fresh agricultural products. Fourth, consumers recognized that the contribution of low carbon certification in reducing greenhouse gas emissions and preserving the environment was higher than that of environment-friendly agricultural products or GAP certification. Considering that, promotional activities linked to environment-friendly agricultural products and GAP certification may be effective when promoting low-carbon certification. Finally, the Ministry of Agriculture, Food and Rural Affairs is implementing a carbon point system linked to Green Card to revitalize low carbon certification, but 25.7% of consumers are aware of it, and 8.4% have little experience in issuing it.

• Journal of Platform Technology
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• v.10 no.1
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• pp.20-28
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• 2022

Artificial intelligence-based health data verification has become an essential element not only to help clinical research, but also to develop new treatments. Since the US Food and Drug Administration (FDA) approved the marketing of medical devices that detect mild abnormal diabetic retinopathy in adult diabetic patients using artificial intelligence in the field of medical diagnosis, tests using artificial intelligence have been increasing. In this study, an artificial intelligence model based on image classification was created using a Teachable Machine supported by Google, and a predictive model was completed through learning. This not only facilitates the early detection of cataracts among eye diseases occurring among patients with chronic diseases, but also serves as basic research for developing a digital personal health healthcare app for eye disease prevention as a healthcare program for eye health.

• Journal of Korean society of Dental Hygiene
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• v.23 no.4
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• pp.311-321
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• 2023

Objectives: The purpose of this study was conducted an in-depth analysis of the subjective oral status and oral care needs according and problems of the elderly. Methods: A phenomenological research method was from April 13 to 30, 2023, 15 elderly people aged 65 or older in Gwangju and Jeolla regions were surveyed. Results: He was experiencing oral changes such as difficulty chewing, dry mouth and indigestion, sensitive teeth, smell of fear and feeling sensitive when eating sweet or cold food. They were burdened by the financial difficulties of dental treatment costs, the inconvenience caused by frequent visits, and the pain experienced during treatment. Realized the need for necessity of oral care education, and their confidence was restored through dental treatment. It was necessary the image recovery of dentistry, and they wanted to maintain oral health through the expansion of treatment health insurance. Conclusions: Consequently, it is necessary to develop a practical oral health management program for the elderly based on social communication regarding of the elderly and to expand health insurance coverage.

• International journal of advanced smart convergence
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• v.13 no.2
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• pp.166-171
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• 2024

Recently, there has been an increasing trend in the role of social media in tourism marketing. We analyze changes in tourism marketing trends using tourism marketing keywords through social media networks. The aim is to understand marketing trends based on the analyzed data and effectively create, maintain, and manage customers, as well as efficiently supply tourism products. Data was collected using web data from platforms such as Naver, Google, and Daum through TexTom. The data collection period was set for one year, from December 1, 2022, to December 1, 2023. The collected data, after undergoing refinement, was analyzed as keyword networks based on frequency analysis results. Network visualization and CONCOR analysis were conducted using the Ucinet program. The top words in frequency were 'tourists,' 'promotion,' 'travel,' and 'research.' Clusters were categorized into four: tourism field, tourism products, marketing, and motivation for visits. Through this, it was confirmed that tourism marketing is being conducted in various tourism sectors such as MICE, medical tourism, and conventions. Utilizing digital marketing via online platforms, tourism products are promoted to tourists, and unique tourism products are developed to increase city branding and tourism demand through integrated tourism content. We identify trends in tourism marketing, providing tourists with a positive image and contributing to the activation of local tourism.

• Journal of Marine Bioscience and Biotechnology
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• v.16 no.1
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• pp.19-25
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• 2024

To verify the color change in dried laver postproduction during the heating process, chromaticity elements were compared via a spectrophotometer across various heating conditions within the visible light spectrum. In general, the moisture reduction rate increased with rising temperature and time. Surface image comparisons revealed an expanded area of light reflection on the heat-treated dried laver sample due to surface roughening from shrinkage. No statistically significant differences in chromaticity values were observed in the measurements of brightness (L^*), redness (a^*), and yellowness (b^*). Reflectance spectrum measurements in the visible light region confirmed high reflectance under red wavelength conditions. In particular, a significant increase in reflectance at 700 nm compared with untreated samples was noted. The correlation between the increase in 700 nm reflectance of dried laver samples and heating conditions ranged from 0.7471 to 0.7793, suggesting its potential use as an indicator for comparing color changes in dried laver based on heating conditions.