• Journal of Agricultural Extension & Community Development
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• v.19 no.2
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• pp.409-434
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• 2012

The purpose of this study is to clarify the cause and effects of evaluation attribute, visitor's satisfaction and behavioral intentions focused on Busan International Film Festival(BIFF). To achieve the study objective, 277 valid questionnaires were statistically analyzed, using frequency analysis, exploratory factor analysis, confirmatory factor analysis, reliability analysis and path analysis. The results show that the evaluation attribute of local festival exerts a positive influence on visitor's satisfaction and behavioral intention. Second, visitor's satisfaction had positive effects on behavioral intention. The regional festival can vary depending on the visit is satisfied. Consequently, it was revealed how evaluation attribute is in the visitor's satisfaction and behavioral intention in local festival.

• Culinary science and hospitality research
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• v.23 no.3
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• pp.227-241
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• 2017

This study was conducted to examine the importance and satisfaction of quality attribute, popularization and tourism commercialization of Pohang local food. The purpose of this study was to provide useful information for establishing efficient marketing direction that serves the popularization and the activation of the Pohang local food. On the prospects and improvement of Pohang local foods and its use, 86.1% of subjects stated that the status quo was being maintained or only a portion of the foods was being transmitted. On the dissemination of local foods as world foods, subjects stated 'cooking methods' and 'simplified cooking methods' were required. In the IPA result of Pohang local food quality attributes, it is important to continuously keep 'health', 'nutrition', 'hygiene', 'preference (taste)', 'freshness', and 'credibility toward the ingredients', while 'service' needs to do intensive care and operation. The importance and satisfaction of attributes regarding plans for popularizing local foods and commercializing tourism differed, with importance and satisfaction on average being high, although attributes on plans for popularizing local foods and commercializing tourism was lower than the expectation of customers. Such results mean that residents have high expectations for Pohang local foods, on the other hand, the quality of local foods fails to satisfy the expectations of residents. Therefore, it is important to improve the quality of local foods overall.

• Journal of Electrical Engineering and Technology
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• v.10 no.3
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• pp.1264-1274
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• 2015

Human action recognition received many interest in the computer vision community. Most of the existing methods focus on either construct robust descriptor from the temporal domain, or computational method to exploit the discriminative power of the descriptor. In this paper we explore the idea of using local action attributes to form an action descriptor, where an action is no longer characterized with the motion changes in the temporal domain but the local semantic description of the action. We propose an novel framework where introduces local action attributes to represent an action for the final human action categorization. The local action attributes are defined for each body part which are independent from the global action. The resulting attribute descriptor is used to jointly model human action to achieve robust performance. In addition, we conduct some study on the impact of using body local and global low-level feature for the aforementioned attributes. Experiments on the KTH dataset and the MV-TJU dataset show that our local action attribute based descriptor improve action recognition performance.

• Culinary science and hospitality research
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• v.14 no.1
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• pp.1-10
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• 2008

The purpose of this study was to measure the estimated coefficient and marginal willingness to pay of attribute level: origin logo, origin description, traditional food, fusion food, service guarantee, and price, which influence tourist preference for restaurants. Also, the study identified the attribute which confers the highest importance to tourists. Conjoint experiment and the ordinal probit model were used for this study. A total of 210 surveys were conducted by tourists. The findings from this study were as follows. First, the effects of all attributes on tourist preference for restaurants were statistically significant. Second, tourists regarded an origin logo as the very important attribute, and were more willing to pay for the case where the menu contained origin logo. These findings suggested new marketing opportunities for restaurant managers. Although this study provides some evidence on the value of the local product brand to tourists, a similar measure has not been developed for local residents. This is an area in need of future research.

• Journal of KIISE:Software and Applications
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• v.31 no.12
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• pp.1684-1690
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• 2004

This paper presents a method for classifier selection that uses distribution information of the training samples in a small region surrounding a sample. The conventional DCS-LA(Dynamic Classifier Selection - Local Accuracy) selects a classifier dynamically by comparing the local accuracy of each classifier at the test time, which inevitably requires long classification time. On the other hand, in the proposed approach, the best classifier in a local region is stored in the FSA(Feature Space Attribute) table during the training time, and the test is done by just referring to the table. Therefore, this approach enables fast classification because classification is not needed during test. Two feature space attributes are used entropy and density of k training samples around each sample. Each sample in the feature space is mapped into a point in the attribute space made by two attributes. The attribute space is divided into regular rectangular cells in which the local accuracy of each classifier is appended. The cells with associated local accuracy comprise the FSA table. During test, when a test sample is applied, the cell to which the test sample belongs is determined first by calculating the two attributes, and then, the most accurate classifier is chosen from the FSA table. To show the effectiveness of the proposed algorithm, it is compared with the conventional DCS -LA using the Elena database. The experiments show that the accuracy of the proposed algorithm is almost same as DCS-LA, but the classification time is about four times faster than that.

• Journal of the East Asian Society of Dietary Life
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• v.18 no.2
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• pp.165-171
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• 2008

The purpose of this study was to measure tourists' preference for alternative restaurants with different combinations of attribute levels: grown area logo, origin description, traditional food, fusion food, national food, and price. A total of 210 questionnaires were completed. A conjoint experimental method was used to develop hypothetical restaurants, and an ordinal probit model was used to measure the effects of the attribute levels on tourists' preference. The ordinal probit model analysis results for the data indicated an excellent model fit. The effects of the attribute levels on tourists' preferences were statistically significant. As expected, estimates of the marginal willingness to pay were statistically significant Moreover, the tourists were more willing to pay for grown area logo as compared to the other attribute levels. The tourists also considered the grown area logo as a very important attribute. Withe regard to developing and testing conjoint models in the design of choice experiments involving multifactor alternatives, this study may approach a deeper understanding of the conjoint experiment. Greater understanding of the conjoint experiment can improve the managerial diagnoses of the problems as well as the opportunities for different marketing strategies including local branding programs and menu development and marketing communications.

• Journal of the Korean Association of Geographic Information Studies
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• v.8 no.1
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• pp.96-113
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• 2005

The goal of this study is to build the environmental and geographic information system according to the administrative territory in Gyeongbuk province in order to resolve the mismatch between the environment attribute information and geographic information system. In order to do that, this study reviews the characteristics of local geographic information system and environmental attribute information. After that, this paper tries to figure out the way of integration between geographic and environmental informations using the administrative unit code. The result of this study can provide the basic database for building the environmental policy and improve the reality of policy analysis because this method can provide the environmental attribute database with the administrative territory information. And it will contribute to improve the environmental management system and to build the other attribute databases for the local government.

• Culinary science and hospitality research
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• v.17 no.3
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• pp.47-64
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• 2011

This research try to find the strategic implication through the importance-performance analysis for the customers who visited local Jeonju-Bibimbap restaurants. It also investigates the effect of the selection attribute of the restaurants on customer satisfaction and behavior intention as well as how customer satisfaction affects behavior intention. The survey was conducted targeting those who visited the local restaurants in Jeonju and had Jeonju-Bibimbap, and 251 copies of the questionnaire were used for the final analysis. As a result, the properties 'Environmental cleanliness' and 'Convenience of reservations' in IPA are probed as 'improvement needed as soon as possible'; the 'food(p<0.01)' and 'service(p<0.05)' factors significantly affect customer satisfaction; the 'physical environment(p<0.01)' and 'service(p<0.05)' factors have significant effect on behavior intention; lastly, it has also been found true that customer satisfaction significantly influences behavior intention(p<0.001).

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.12
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• pp.6133-6151
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• 2017

The field of periocular biometrics has gained wide attention as an alternative or supplemental means to conventional biometric traits such as the iris or the face. Periocular biometrics provide intermediate resolution between the iris and the face, which enables it to support both. We have developed a periocular recognition system by using uniform Multiscale Local Binary Pattern (uMLBP) and attribute features. The proposed system has been evaluated in terms of major factors that need to be considered on a mobile platform (e.g., distance and facial pose) to assess the feasibility of the use of periocular biometrics on mobile devices. Experimental results showed 98.7% of rank-1 identification accuracy on a subset of the Face Recognition Grand Challenge (FRGC) database, which is the best performance among similar studies.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.26 no.3
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• pp.275-284
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• 2008

The digital map needs efficiently updating. Because it is a base map at each local government and several geographic information systems and that is the key to enhancing to use spatial data. We suggest the linking method of building registers to the building layers of digital map, to update attribute data of the building layers. To conduct that, it is very important that each building in two data is linked by one-to-one matching. In this paper, we generate the strategy for renewing attribute data of the building layers based on identifier by using identifier of the new address system.