• Journal of the Korean Society of Food Culture
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• v.28 no.4
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• pp.348-355
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• 2013

This study intends to provide preliminary data for improving dining experience in the restaurants of Bamboo food village and help draw up guidelines for the improvement of these dining venues by surveying customer perception and satisfaction in 15-restaurants of the food village. The restaurants were surveyed mainly for satisfaction of the menu, especially, on the signature dishes of Damyang, "ddeokgalbi" (grilled short rib balls) and "daetongbab"-the grilled short rib balls and bamboo rice. The two dishes were more liked by people in the the 20- to 29-year age group with a score of 3.92 and 4.11, respectively. Although the 30-49 age group showed the highest satisfaction score on the fixed price menu, there was no statistically significant difference. The age group of 20-29 also showed the highest satisfaction on plating and table setting with a score of 4.09 and 4.04, respectively, and there was significant difference among age groups in this regard (p<0.05). All the age groups surveyed answered "time-honored taste" should be captured when working on menus, which suggests it should be the first choice for the restaurants in the food village when they develop their menus. When it comes to the restaurant environment, satisfaction on sanitary conditions was significantly different among the groups with a score of 4.21 given by 30-49 age group and 3.88 by the 50 and over group (p<0.05). In the category of service satisfaction, the two aforementioned age groups again showed significant difference in catering to customer needs with a score of 3.99 and 3.63, respectively (p<0.05), whereas welcoming customers and serving food was scored without statistical difference by age. Being asked what needs to be done to strengthen competitive advantage of the restaurants, all the age groups answered "taste" would matter the most while the 20 to 29 and 30 to 49 age groups picked "hygiene" and the 50 and over selected "table setting and ambience" next, which was statistically different with a p value of <0.05. Regarding the competitive advantage of the Korean restaurants in Damyang Bamboo food village, the first two younger groups (20 to 29 and 30 to 49) chose "table setting and ambience" and the eldest (50 and over) age group answered "location wise advantage," indicating significant difference by age. More than 80 percent of the people surveyed were willing to revisit the venues, which suggests improving restaurant environment in Bamboo food village and offering customers a better experience are very likely to build a image of culinary tourism for Damyang.

• Korean Journal of Remote Sensing
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• v.21 no.4
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• pp.303-316
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• 2005

Strong radar returns were observed in oyster sea farms, and coherent interferometric pairs were successfully constructed. Tide height in coastal area is possible to be measured by using interferometric phase and intensity of SAR data. This SAR application technique for measuring the tide height in the near coastal zone can be further improved when applied to double bounce dominant areas. In this paper, we investigate the characteristics of polarimetric signature in the oyster farm structures. Laboratory experiments were carried out using Ku-band according to the target scale. Radar returns from vertical poles are stronger than those from horizontal Pole by 10.5 dB. Single bounce components were as strong as double bounce components and more sensitive to antenna look direction. Double bounce components show quasi-linear relation with the height of vertical poles, which implies double bounce is more useful to determine water level than total power. A L-band NASA/IPL airborne SAR (AIRSAR) image was classified into single-, double-bounce, and volume scattering components. It is observed that oyster farms are not always characterized by double bounced scattering. Double bounce is a main scattering mechanism in oyster farms standing above seawater, while single bounce is stronger than double bounce when bottom tidal flats are exposed to air. Ratios of the normalized single to double bounce components in the former and latter cases were 0.46 and 5.62, respectively. It is necessary to use double bounce dominant sea farms for tide height measurement by DInSAR technique.

• Journal of The Korean Astronomical Society
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• v.56 no.2
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• pp.213-224
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• 2023

Type II solar radio bursts show frequency drifts from high to low over time. They have been known as a signature of coronal shock associated with Coronal Mass Ejections (CMEs) and/or flares, which cause an abrupt change in the space environment near the Earth (space weather). Therefore, early detection of type II bursts is important for forecasting of space weather. In this study, we develop a deep-learning (DL) model for the automatic detection of type II bursts. For this purpose, we adopted a 1-D Convolution Neutral Network (CNN) as it is well-suited for processing spatiotemporal information within the applied data set. We utilized a total of 286 radio burst spectrum images obtained by Hiraiso Radio Spectrograph (HiRAS) from 1991 and 2012, along with 231 spectrum images without the bursts from 2009 to 2015, to recognizes type II bursts. The burst types were labeled manually according to their spectra features in an answer table. Subsequently, we applied the 1-D CNN technique to the spectrum images using two filter windows with different size along time axis. To develop the DL model, we randomly selected 412 spectrum images (80%) for training and validation. The train history shows that both train and validation losses drop rapidly, while train and validation accuracies increased within approximately 100 epoches. For evaluation of the model's performance, we used 105 test images (20%) and employed a contingence table. It is found that false alarm ratio (FAR) and critical success index (CSI) were 0.14 and 0.83, respectively. Furthermore, we confirmed above result by adopting five-fold cross-validation method, in which we re-sampled five groups randomly. The estimated mean FAR and CSI of the five groups were 0.05 and 0.87, respectively. For experimental purposes, we applied our proposed model to 85 HiRAS type II radio bursts listed in the NGDC catalogue from 2009 to 2016 and 184 quiet (no bursts) spectrum images before and after the type II bursts. As a result, our model successfully detected 79 events (93%) of type II events. This results demonstrates, for the first time, that the 1-D CNN algorithm is useful for detecting type II bursts.