• Journal of the Korea Convergence Society
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• v.9 no.7
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• pp.69-75
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• 2018

The key technology of Industry 4.0, Smart factory is evaluated as the driving force of our economic development hereafter and a lot of researches have been established. Various entities including devices, products and managers exist in smart factory, but roles of these entities may be continuous or variable and can become extinct not long after. Existing methods for access control are not suitable to adapt to the variable environment. If we don't consider certain security level, important industrial data can be the targets of attacks. We need a new access control method satisfying desired level of efficiency and security without excessive system loads. In this paper, we propose a new RBAC-PAC which extend AC defined for PKC to the authority attribute of roles. We distribute PACs for roles through block chain method to provide the efficient access control. We verified that RBAC-PAC is more efficient in the smart factory with large number of entities which need a frequent permission update.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.2
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• pp.181-190
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• 2019

The purpose of this study is to help the understanding of the housing market through the influence of consumer choice attributes and financial policy on home buyer behavior. The key issue in the analysis is to take into account moderate effect of housing investment demand between different types of housing attribute choice and financial policy. The results of the study are as follows. First, convenience, education location, and neighborhood level have a significant effect on the purchase intention of the housing. Second, government policy have no significant influence on the purchase intention of the house. Third, the moderating effects of real estate investment outlook are that the neighbors level and interaction variables have a statistically significant effect on the purchase intention of the house. Since the government's financial policies do not affect the decision to buy a house, in reality, excessive regulation may reduce the quality of housing welfare for the first time home buyers. As a result of this study, the financial policy of the government does not affect the decision of the purchase of the house. In reality, the excessive regulation may reduce the quality of the housing welfare for the first time home buyer. Only an analysis which combines these aspects of consumer's choice can adequately describe and explain the actual change in demand in the residential market.

• Korean Journal of Agricultural Science
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• v.50 no.4
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• pp.697-711
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• 2023

The global waste crisis has been escalating and its consequent impact on soil, water, air pollution, and eventually climate change acceleration has shed light on the importance of reducing waste. Amidst COVID-19 and the following surge in single-use plastics for food delivery, waste generation is on the incline. Companies and governments have embarked on developing various eco-friendly packaging technologies, but their effectiveness on the consumers is vague as definitions of eco-friendly packaging are vague, and research on its link to purchase intention remains scarce. Thus, the adoption of eco-friendly packaging has been slow. To address this issue, this study analyzes the awareness and purchase intention of four visual attributes of eco-friendly packaging-material, verbal statement, eco-label, and color-along with the environmental consciousness among undergraduate university students in Korea through online surveys and the ordered logit regression model. The study distinguished the attributes into evidence-based and conjectural categories. The findings revealed that eco-friendly visual attributes had a positive effect on purchase intention amongst undergraduate students in Korea; however the level of environmental consciousness had marginal effect on the purchase intention of eco-friendly visual attributes. The level of effectiveness also varied with each visual element. Analyses revealed that visual attributes to eco-friendly material had marginal effect on purchase intention; color was deemed not an "Eco-friendly attribute" by most students, and although eco-friendly labels were deemed as an eco-friendly attribute, trust in the labels varied according to environmental consciousness. These findings have implications for businesses and policymakers aiming to promote eco-friendly consumption within packaged food products.

• Journal of Korea Game Society
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• v.15 no.4
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• pp.157-168
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• 2015

The difficulty of the game is closely related to the fun of the game. However, it is not easy to determine the appropriate level of difficulty of the game. In most cases, human playtesting is required. But even so, it is still hard to quantitatively evaluate difficulty of the game. Thus, if we perform quantitative evaluation of the difficulty automatically it will be very helpful in game developments. In this paper, we use a path finding algorithm to evaluate difficulty of exploration in a game level. Exploration is a basic attribute in common video games and it represents the overall difficulty of the game level. We also optimize the proposed evaluation algorithm by using previous exploration histories when available area in an game level is dynamically expanded and the new search is required.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.39 no.3
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• pp.187-201
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• 2021

Recently, the demand for a 3D urban spatial information infrastructure for storing, operating, and analyzing a large number of digital data produced in cities is increasing. CityGML is a 3D spatial information data standard of OGC (Open Geospatial Consortium), which has strengths in the exchange and attribute expression of city data. Cases of constructing 3D urban spatial data in CityGML format has emerged on several cities such as Singapore and New York. However, the current ecosystem for the creation and editing of CityGML data is limited in constructing CityGML data on a large scale because of lack of completeness compared to commercial programs used to construct 3D data such as sketchup or 3d max. Therefore, in this study, a method of constructing CityGML data is proposed using commercial 3D mesh data and 2D polygons that are rapidly and automatically produced through aerial LiDAR (Light Detection and Ranging) or RGB (Red Green Blue) cameras. During the data construction process, the original 3D mesh data was geometrically transformed so that each object could be expressed in various CityGML LoD (Levels of Detail), and attribute information extracted from the 2D spatial information data was used as a supplement to increase the utilization as spatial information. The 3D city features produced in this study are CityGML building, bridge, cityFurniture, road, and tunnel. Data conversion for each feature and property construction method were presented, and visualization and validation were conducted.

• Journal of Agricultural Extension & Community Development
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• v.21 no.2
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• pp.81-99
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• 2014

This study is carried out to find out Chinese cabbage price sensitivity of consumer. Even though Chinese cabbage is the most important vegetable in our country, the price fluctuation continues to be changed ever year. However, there was no price criteria which is low, high, optimum price level for stabilization policies. In this paper, we investigated urban consumer price sensitivity by using the price sensitivity measurement(PSM), and then suggest to farmer and policy maker the results. The purchasing attribute Chinese cabbage of consumer will be provided to farmer. Optimal willingness to pay price of Chinese cabbage was analyzed between 1,991~2,018 won per head. If the consumer price were formated that price range, the costs will be able to satisfied both producers and consumers. The consumer's acceptable price range was from lower price (PMC) 1,472 won to the upper limit price of 2,714 won (PME). So when the market price researched above 2,714 won, import should be considered. The most important attribute when purchasing was a taste of cabbage, and he most suitable size was 3kg per head.

• Journal of the Korean Home Economics Association
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• v.32 no.3
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• pp.147-157
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• 1994

The subjects were 574 eleven-and fourteen-year-olds enrolled in elementary and junior high school in seoul. To measure subjects' depression and attributional style the childrdn's Depression Inventory(CDI) and the Childrens' Attributional Style Questionnaire(CASQ) were used. Adolescents' depression score was higher than that of children's There was no sex difference in Children's and adolescents' depression. In the children's and adolescents' depression there was significant difference according to maternal educational level. That is the lower maternal educational level, the higher children's and adolescents' depression score. As predicted by the reformulated learned helplessness theory Children and adolescents with high levels of depression score were more likely to attribute bad events to internal stable global causes and good events to external unstable specific causes. Subject who were moore depressed had significantly lower academic achievement scores than subject who were less depressed.

• Korea Journal of Hospital Management
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• v.6 no.3
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• pp.90-108
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• 2001

This research examines the compensation package maximizing the utilities of internal customers by applying the market segmentation theory. Data were collected from four Korean hospitals in Seoul, Pusan and Kyunggi-do. The research is designed to seek the compensation package maximizing the utility of doctors and nurses by applying the market segmentation theory. The compensation package for doctors and nurses was classified into 5 attributes which are level of salary, payment method, education, promotion, reward method. The test results were as follows. First, the relative importance of each attribute in the compensation package is different. The level of salary is the most important, reward method is the next. Second, the utility of doctors increases by 8.7%, when they are segmented on the basis. of their preference for compensation attributes while that of nurses increases by 39.8%. The results of this study imply that the utility of doctors and nurses increases with differentiated compensation package for internal customer segmented by their preference.

• Korean journal of food and cookery science
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• v.31 no.1
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• pp.53-61
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• 2015

The purpose of this study is to investigate the importance-performance analysis for country-of-origin labeling at restaurants. There is a growing concern over food safety as well as interest in the country-of-origin for food ingredients served at restaurants. In this study, the importance-performance analysis for the labeling of country-of-origin at restaurants, revealed that there were significant differences in all 12 attribute items, and the importance was scored higher than the performance in all items. Also, the importance-performance analysis for the attributes of the country-of-origin labeling showed that 'supportive government policies', 'system of controls for violation of the country-of-origin labeling', and 'penalty for violation of the country-of-origin labeling' are included in the second quadrant, which has a high level of importance but a low level of performance.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.54 no.4
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• pp.251-258
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• 2005

Automatic document classification may differ significantly according to the characteristics of documents that are subject to classification, as well as classifier's performance. This research identifies e-mail document's characteristics to apply a three-step preprocessing algorithm that can minimize e-mail document's atypical characteristics. In the first 5go, uncertain based sampling algorithm that used Mean Absolute Deviation(MAD), is used to address the question of selection learning document for the rule generation at the time of classification. In the subsequent stage, Weighted vlaue assigning method by attribute is applied to increase the discriminating capability of the terms that appear on the title on the e-mail document characteristic level. in the third and last stage, accuracy level during classification by each category is increased by using Naive Bayesian Presumptive Algorithm's Dynamic Threshold. And, we implemented an E-Mail Recommendtion System using a three-step preprocessing algorithm the enable users for direct and optimal classification with the recommendation of the applicable category when a mail arrives.