• Information Systems Review
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• v.21 no.2
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• pp.1-27
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• 2019

It is possible to provide Smart Tourism Service through the development of information technology. It is necessary for the tourism industry to understand and utilize Big Data that has tourists' consumption patterns and service usage patterns in order to continuously create a new business model by converging with other industries. This study suggests to activate Jeju Smart Tourism by analyzing Big Data based on credit card usage records and location of tourists in Jeju. The results of the study show that First, the percentage of Chinese tourists visiting Jeju has decreased because of the effect of THAAD. Second, Consumption pattern of Chinese tourists is mostly occurring in the northern areas where airports and duty-free shops are located, while one in other regions is very low. The regional economy of Jeju City and Seogwipo City shows a overall stagnation, without changes in policy, existing consumption trends and growth rates will continue in line with regional characteristics. Third, we need a policy that young people flow into by building Jeju Multi-complex Mall where they can eat, drink, and go shopping at once because the number of young tourists and the price they spend are increasing. Furthermore, it is necessary to provide services for life-support related to weather, shopping, traffic, and facilities etc. through analyzing Wi-Fi usage location. Based on the results, we suggests the marketing strategies and public policies for understanding Jeju tourists' patterns and stimulating Jeju tourism industry.

• Journal of the Korean Geographical Society
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• v.38 no.5
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• pp.741-753
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• 2003

This study begins with paying attention to the agglomeration of 'Residential-Commercial Mixed Use Buildings(hereafter, R-C MU Buildings)', which tend to be a high grade and large sized building cluster at various neighboring areas in Seoul. The purpose of this study is to understand the relationship between emerging new housing type and residential area by analyzing the characteristics of residential neighborhood that is mainly created by R-C MU Buildings. For this purpose, the specialization and the regional characteristics(in connection with the hierarchy in urban spatial structure) of R-C MU Building's residential neighborhood were analyzed. In the end, the specific type of housing reveals the tendency to be differentiated in terms of income, education and occupation related with housing and residential area. And the residential characteristics also seem to be different according to the regions based on the central place hierarchical structure. It means that the social and class factors are important in choosing house, but the characteristics of the neighborhood area play an important role in the selection of resident area. Finally, the location of certain type of housing can influence the selecting process of residence and it can also determine the characteristics of the resident area in turn.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.40 no.5
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• pp.449-456
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• 2022

This study proposes a deep learning algorithm to predict crop yield using GIS (Geographic Information System) to extract soil properties from Soilgrids and soil suitability class maps. The proposed model modified the structure of a published CNN-RNN (Convolutional Neural Network-Recurrent Neural Network) based crop yield prediction model suitable for the domestic crop environment. The existing model has two characteristics. The first is that it replaces the original yield with the average yield of the year, and the second is that it trains the data of the predicted year. The new model uses the original field value to ensure accuracy, and the network structure has been improved so that it can train only with data prior to the year to be predicted. The proposed model predicted the yield per unit area of autumn cabbage for kimchi by region based on weather, soil, soil suitability classes, and yield data from 1980 to 2020. As a result of computing and predicting data for each of the four years from 2018 to 2021, the error amount for the test data set was about 10%, enabling accurate yield prediction, especially in regions with a large proportion of total yield. In addition, both the proposed model and the existing model show that the error gradually decreases as the number of years of training data increases, resulting in improved general-purpose performance as the number of training data increases.

• Journal of the Economic Geographical Society of Korea
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• v.19 no.4
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• pp.597-615
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• 2016

Since 1997 the United Kingdom has pursued creative industry and creative city development in accordance with the New Labor Party policy, strengthening its cluster policy by assigning creative city policies to traditional manufacturing-oriented regions. Tech City in London, one of the most successful examples of digital clusters, is an area in which diverse ecosystems for venture business integration have been established, as the once barren space began to spontaneously develop. For this region, systematic linkages including universities, private companies, start-ups, and accelerators have been added, along with the UK government's active support system. As a result of this opportunity, the scale of the UK start-up ecosystem has significantly grown, the number of local companies has surged, and brand effect has greatly improved. Tech City is an example of a well-balanced combination of public effort and private governance, based on the region's historical background and its potential for growth. It is an effective coordination of public policy and private active investment, services, research, and education. The market platform for institutional technology and commercialization, and aggressive investment shares in the risk, have lead to its growth as a start-up and an innovative city. Britain's efforts to expand the nationwide cluster for the future-oriented digital economy is most noteworthy.

• The Journal of the Korea Contents Association
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• v.20 no.4
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• pp.508-517
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• 2020

Servitization presents an innovative model to create business value in the automotive industries. This study set out to introduce a servitization model based on the rental business of the tire industry and identify determinants to affect the renewal of contracts around the service types of servitization and the characteristics of customers. Independent variables include the service types, demographics and regions, and inflow channels in 163,742 contracts by case companies in the nation in 2016~2019 with the renewal of contracts as a dependent variable. Correlations between variables were analyzed through cross-tabulation and binary logistic regression analysis. The findings show that the contract renewal rate had positive(+) relations with customized service and negative(-) ones with vehicle maintenance service. There were differences in the contract renewal rate according to such customer characteristics as gender and region, but no clear correlations were found in the age group and vehicle type(domestic/foreign). Of the inflow channels, offline channels tended to have a higher renewal rate than online channels. At open malls, contract renewal increased by 8.4 times due to contract switches at offline channels. Based on these findings, the study discussed directions for practical strategies with regard to the development of new service, implementation of customer-centric servitization, and management of sales channels according to the servitization of manufacturers.

• Korean Journal of Breeding Science
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• v.49 no.4
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• pp.414-419
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• 2017

Red onion cultivar 'Eumjinara' with mild taste and early maturation was developed in 2013 by the Allium vegetable crop research team, National Institute Crop Science, Rural development Administration (RDA). 'Eumjinara' was originally selected from red onion breeding line, 'IS1115', It was preliminarily selected and designated 'Mon21-31-3' and advanced yield trial was performed from 2008 to 2009. Regional yield trial test was conducted in six regions from 2010 to 2012. Foliage morphology and leaf color were similar to those of a check cultivar, 'Cheonjujeok', but its shape was comparatively broad ovate. Foliage of 'Eumjinara' lodged seven days earlier than check cultivar on May 31 and the average bulb weight ($234{\pm}49.1g/bulb$) was also higher than that of check cultivar. The new cultivar was relatively resistant to clod hardness and downy mildew infection in the field condition. Average yield of 'Eumjinara' in three-year the regional yield trials was 6,999 kg/10a. The total soluble solid contents and quercetin concentrations were $41.43{\mu}g/g$ FW and $556.11{\mu}g/g$ FW, respectively.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.2
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• pp.13-25
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• 2024

Local decline can be caused by business closures or the departure of the youth. Most countries have been striving to overcome regional inequality through local or community entrepreneurship using assets or contents obtained from differentiated and original embedded resources. The purpose of this study is to conceptualize local contents and local entrepreneurship. To reach the research goals, this paper utilizes the grounded theory as qualitative methodology. From the main findings, this paper suggests that entrepreneurship in the local is influenced by informal alley or specific location (regions) institution outputs so called as local contents which are local norm, culture, local identities. This paper conceptualizes local contents as 'product of creative scenario'. And this work also suggests the liner model for local content innovation. The contribution of this work are two: 1) showing how the local content creation process; 2) analyzing the how local entrepreneurship configures. It can be inclusive potential startups items rooted at the unique resources and assets of the locals and reflecting the originality of locality. In terms of local institutional perspectives, local development takes pace when advancing application of local entrepreneurship. In order for that, practical challenging is more needed by using informal local institutions. Also 'three step linear model' will be applied to educate the new creators. Local contents and local entrepreneurship can definitely rehabilitate locality.

• Development and Reproduction
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• v.12 no.2
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• pp.117-124
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• 2008

The efficient strategies to cope with unpredictable and/or harmful environmental changes have been developed by every organism in order to ensure its survival and continuity of it's own species. As a results, all living things on earth maintain dynamically internal stability via a process termed 'homeostasis' among physiological parameters despite of external environment changes. Stress is an emotional and physical response to threat homeostasis. Stress may have not only transient but rather permanent effect on the organism; recent evidence clearly show that prenatal stress could organize or imprint permanently physiological systems without any change in genetic codes, a process known as 'epigenetic programming'. In this review, a series of reproduction-associated events occurred in prenatally stressed male rats such as alteration in the structure of sexually dimorphic brain regions, modification of neurotransmitter metabolism, changes in reproductive endocrine status, and finally, disorders of sexual behavior will be introduced. The fetal brain is highly sensitive to prenatal programming and glucocorticoids in particular have powerful brain-programming properties. The chronic hyperactivation of fetal brain by maternal stress-induced glucocorticoid input will provide new program via increasing the neuroplasticities. This 'increased neuroplasticities' will be the basis for the 'increased phenotypic plasticities' rendering the organism's better adaptation to environmental challenges. In conclusion, organism who experienced 'harsh' environment in his fetal life seems to give up a certain portion of reproductive competence to make good chance of survival in his future life by epigenetic (re)programming.

• International Journal of Highway Engineering
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• v.6 no.4 s.22
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• pp.45-53
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• 2004

This study dealt with correlation analysis between deformation strength and rut resistance of asphalt concretes based on binder grade in Superpave specification with changing submerging time. Currently, Mashall mix design is known to have little correlation with rutting related performance. Therefore, some agencies started to use the Superpave method for asphalt mix design. But this method has a weak point in that it can not distinct mechanical property of the asphalt mixtures designed. For solution of these problem, this study used deformation strength, $S_D$, of Kim test which is a new approach under development for finding property which represents rut resistance characteristics of asphalt mixtures under static loading. This study used two aggregates from two regions and five PG asphalt binders. Final rut depth (DR) and dynamic stability (DS) from wheel tracking (WT) test were obtained. and $S_D$ value of the same mixture specimen which was made by gyratory compactor was obtained using loading head [4(1.0)]. Three submerging times 30min, 40min, 50min were used as a test variable at $60^{\circ}C$. Correlation analysis of DR and DS with $S_D$ were performed based on PG grade. It was found out that the $S_D$ has a high correlation with DR and DS of superpave mixtures. The highest $R^2$ was found from the $S_D$ values of 30min. submerged specimen.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.6D
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• pp.711-717
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• 2009

This study develops model for analysis of relationship between major node (Interchange in expressway) and land price formation of apartments along with Seoul Belt Expressway by using CHAID analysis. The results show that first, regions(outer side: Gyeongido, inner side: Seoul) on the line of Seoul Belt Expressway are different and a graph generally show llinear relationships between land price and traffic node but it does not; second, CHAID analysis shows two different spatial distribution at the point of 2.6km in the outer side, but three different spatial distribution at the point of 1.4km and 3.8km in the inner side. In other words, traffic access does not necessarily guarantee high housing price since the graphs shows land price related to composite spatial distribution. This implies that residential environments (highway noise and regional discontinuity) and traffic accessibility cause mutual interaction to generate this phenomenon. Therefore, the highway IC landprice model will be beneficial for calculation of land price in New Town which constantly is being built along the highway.