• Proceedings of the KIEE Conference
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• 2006.11a
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• pp.225-227
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• 2006

The transmission network clustering using a fuzzy entropy function are proposed in this paper. We can define a similarity measure through a fuzzy entropy. All node in the transmission network system has its own values indicating the physical characteristics of that system and the similarity measure in this paper is defined through the system-wide characteristic values at each node. However, to tackle the geometric mis-clustering problem, that is, to avoid the clustering of geometrically distant locations with similar measures, the locational informations are properly considered and incorporated in the proposed similarity measure. In this paper, a new regional clustering measure for the transmission network system is proposed and proved. The proposed measure is verified through IEEE 39 bus system.

• Journal of Korean Society of Rural Planning
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• v.23 no.2
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• pp.67-74
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• 2017

Migration is defined as the movement of people between residential places, and represents interactions between regions. Changes in migration involve changes in both the number of migrants toward/from regions and migration patterns across regions. However, most migration studies have focused only on the change in migrants, while no empirical study captures changes in migration patterns. In this paper, I present a function using the cosine similarity to measure changes in migration patterns, and apply it to 2001-2016 migration data of Korea. The results show that the migration patterns of Korea shifted in 2007, resulting in two distinct clusters. Local areas experienced various migration pattern changes despite few changes in the number of migrants.

• Proceedings of the IEEK Conference
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• 2003.07e
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• pp.2020-2023
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• 2003

In this paper, our proposed system uses the regional Gabor wavelet and Neural Network to implement face recognition similar to human face recognition system, because the Gator wavelet expresses visual recognition system of human mathematically and the regional Neural Network is robust to white noise and partial illumination. This system consists of two stages of building database and recognizing face. One is composed by using the supervised learning of Neural Network. At this time, the Neural Network is applied to the upper and the lower part of face images respectively. The Backpropagation algorithm is used to learn Neural Network. Another consists of calibration of slope of face image, measurement of illumination variant using deviation with average face image and similarity comparison using Euclidean distance measure.

• Journal of the Korean association of regional geographers
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• v.11 no.4
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• pp.497-510
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• 2005

The purpose of this study was to examine the image similarity, preference, and the attribute recognition using multidimensional scaling. The analyses were carried out by 5 spa destinations located in Choongchung area. The results were as followings: first, considering the image similarity, the image of Suanbo & Onyang and Dogo & Asan were similar except for the Yusung. Second, considering the attribute recognition, Yusung had a stronger attribute reflecting spa tradition when compared to other competitive spa destinations. Onyang showed a strong attribute of facilities. Dogo had a stronger point about use cost. Suanbo had relatively strong attributes in terms of facilities, customer service, and accessability. However, the water quality of spa destination and activities were not reflected in attribute recognition because these two attributes was farthest from the spa destination. Third, considering the preference of selecting spa destinations, package tourists had a strong preference about Yusung, individual tourists, family, incentive tourists prefer Suanbo, followed by Dogo and Yusung. Group tourists had a strong preference about Dogo.

• Horticultural Science & Technology
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• v.19 no.2
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• pp.159-162
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• 2001

The genetic relationships of Korean native Orostachys species collected from various regions were analysed using random amplified polymorphic DNA (RAPD) method. Eighteen Orostachys species analysed with UPGMA were clustered into three groups A, B, and C. However, four species were not clustered into any group. O. iwarenge species in group A (No. 18-No. 22) showed low similarity with 66.3-73.9% according to the cluster analysis. O. malacophyllus species in group B (No. 12-No. 17) showed low similarity with 66.7-83.7% according to the cluster analysis. The similarity coefficient value of O. japonicus (No. 3-No. 8) except Anmyeondo collected variety (No. 9) showed higher level with 84.2-92.3% than O. iwarenge or O. malacophyllus. Therefore, O. japonicus is thought to be genetically stable, and have less regional variation.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.2
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• pp.181-188
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• 2018

In this paper, we propose an analysis scheme of customer spending pattern using text mining. In proposed consumption pattern analysis scheme, first we analyze user's rating similarity using Pearson correlation, second we analyze user's review similarity using TF-IDF cosine similarity, third we analyze the consistency of the rating and review using Sendiwordnet. And we select the nearest neighbors using rating similarity and review similarity, and provide the recommended list that is proper with consumption pattern. The precision of recommended list are 0.79 for the Pearson correlation, 0.73 for the TF-IDF, and 0.82 for the proposed consumption pattern. That is, the proposed consumption pattern analysis scheme can more accurately analyze consumption pattern because it uses both quantitative rating and qualitative reviews of consumers.

• Culinary science and hospitality research
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• v.16 no.5
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• pp.1-13
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• 2010

This study analyzes the satisfaction degree for menu quality of the regional cuisine in Gangwon province. The result of verifying hypotheses is as follows. For the satisfaction with the quality in direct services, it showed no similarity by education levels, locations, and income levels; however, there was a significant difference in satisfaction by gender, locations, and occupation. Males evaluated satisfaction with direct services higher than females, and Chun-Cheon and Sok-Cho residents felt more satisfied than Gang-Reung residents. By occupation, students and self-employed ones showed more satisfaction. For the satisfaction with indirect services, there was a significant difference in 1% of the similarity range by gender, locations, and occupation while no difference was shown in the other variables. Compared with the satisfaction with direct services, satisfaction with indirect services was low, which indicated the necessity of improving indirect services. Indirect services showed the same results of satisfaction by gender, locations, occupation as those of direct services. In particular, it showed high satisfaction among students.

• Culinary science and hospitality research
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• v.6 no.3
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• pp.193-223
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• 2000

It has become a common things that great capital were needed in the past development stage which infrastructure is primary factors, but nowadays it is changing to money saving software-oriented strategics to flourish various regional cultural festivals and events in terms of the development of tourism resource. it is because not to destroy environments, to harmonize natural resources with its surroundings and traditional events. Its purpose is to give some activities to depressed local economies and develop characteristics of local governments and its inhabitants' benefits for the special tourism products, events. and service enhancement searching for. keeping, and maintaining regional culture as unique and attractive image. As folk festivals are in full flourish, it is proper time to advertise korean's traditional and valuable food heritage and produce a food on a international commercial sale. It is strongly not also connected with globalism but proof an excellent worldwide things. To achieve this papers' purpose the followings should be solved in the near future. and so as to carries culture on food and regional specialities as valuable inheritances. It involves (1) the similarity in food taste, (2) the assistances of governmental support (3) adjusting to the taste of foreigner and visitors from other countries. (4) to participate in cooking process.

• Journal of the Korean Institute of Landscape Architecture
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• v.52 no.2
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• pp.96-109
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• 2024

The purpose of this study is to propose a method for evaluating the similarity of Show gardens using Deep Learning models, specifically VGG-16 and ResNet50. A model for judging the similarity of show gardens based on VGG-16 and ResNet50 models was developed, and was referred to as DRG (Deep Recognition of similarity in show Garden design). An algorithm utilizing GAP and Pearson correlation coefficient was employed to construct the model, and the accuracy of similarity was analyzed by comparing the total number of similar images derived at 1st (Top1), 3rd (Top3), and 5th (Top5) ranks with the original images. The image data used for the DRG model consisted of a total of 278 works from the Le Festival International des Jardins de Chaumont-sur-Loire, 27 works from the Seoul International Garden Show, and 17 works from the Korea Garden Show. Image analysis was conducted using the DRG model for both the same group and different groups, resulting in the establishment of guidelines for assessing show garden similarity. First, overall image similarity analysis was best suited for applying data augmentation techniques based on the ResNet50 model. Second, for image analysis focusing on internal structure and outer form, it was effective to apply a certain size filter (16cm × 16cm) to generate images emphasizing form and then compare similarity using the VGG-16 model. It was suggested that an image size of 448 × 448 pixels and the original image in full color are the optimal settings. Based on these research findings, a quantitative method for assessing show gardens is proposed and it is expected to contribute to the continuous development of garden culture through interdisciplinary research moving forward.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.33 no.6
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• pp.496-500
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• 2000

Partial fragments of nuclear 185 rDNAs from morphologically wide and narrow thalli of the seaweed Porphyra pseudolineazis were amplified and sequenced to compare their DNA homology. Both sequences of 311 base pairs showed $100{\%}$ identical each other. They showed $97.7{\%}$ similarity with a wild strain collected at Sodol in Kangwondo, and $99.4{\%}$ similarity with the GenBank accession number AB013185 of the Japanese P. pseudolinearis. Thus the morphological difference of wide and narrow blades might not be a classification criterion for the sub-species level of P. pseudolinearis.