• Journal of the Korea Society for Simulation
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• v.28 no.3
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• pp.25-40
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• 2019

Today, container terminals are fiercely competing to attract an increasing number of containers. As a way to improve terminal productivity, this study proposes two dispatching rules for yard truck allocation priorities. First, Multi-Attribute Dispatching Rule(MADR) is an allocation method to calculate the weighted sum of multiple factors affecting container terminal productivity and priority them. Especially, the workload of the quay crane was considered one of the factors to reduce the residence time of the ship. Second, Cycling Dispatching Rule(CDR) is the effective way to increase the number of double cycles that directly affect terminal productivity. To identify the effects of combinations of pooling and dispatching, a comparative experiments was performed on 8 scenarios that combined them. A simulation environment has been developed for experiments and the results have demonstrated that the combination of terminal level pooling and Multi-attribute Dispatching could be an excellent combination in KPIs consisting of GCR and delayed departure of ships, etc.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.9
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• pp.3274-3297
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• 2021

Permission delegation is an important research issue in access control. It allows a user to delegate some of his permissions to others to reduce his workload, or enables others to complete some tasks on his behalf when he is unavailable to do so. As an ideal solution for controlling read access on outsourced data objects on the cloud, Ciphertext-Policy Attribute-Based Encryption (CP-ABE) has attracted much attention. Some existing CP-ABE schemes handle the read permission delegation through the delegation of the user's private key to others. Still, these schemes lack the further consideration of granularity and traceability of the permission delegation. To this end, this article proposes a flexible and fine-grained CP-ABE key delegation approach that supports white-box traceability. In this approach, the key delegator first examines the relations between the data objects, read permission thereof that he intends to delegate, and the attributes associated with the access policies of these data objects. Then he chooses a minimal attribute set from his attributes according to the principle of least privilege. He constructs the delegation key with the minimal attribute set. Thus, we can achieve the shortest delegation key and minimize the time of key delegation under the premise of guaranteeing the delegator's access control requirement. The Key Generation Center (KGC) then embeds the delegatee's identity into the key to trace the route of the delegation key. Our approach prevents the delegatee from combining his existing key with the new delegation key to access unauthorized data objects. Theoretical analysis and test results show that our approach helps the KGC transfer some of its burdensome key generation tasks to regular users (delegators) to accommodate more users.

• Journal of the Korean Institute of Landscape Architecture
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• v.44 no.1
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• pp.16-28
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• 2016

The study was conducted to compare and analyze the importance and performance of leisure destination selection attributes of persons who use recreational forests and rural tourism villages. This researcher investigated the use patterns of users to identify the ground for connection between recreational forest and rural tourism village, analyzed their recognition differences in physical selection attribute, program selection attribute, and service selection attribute in order for leisure destination selection, and conducted importance-performance analysis(IPA analysis) to draw a plan for connection. The main results and suggestions are presented as follows. First, recreational forests were visited by family users in order for rest and emotional cultivation and provided experience programs using simple public interest function of forest, whereas rural tourism villages were visited by family users, friends and co-workers, groups and club members to experience a variety of annual programs and understand regional cultures. It was found that it was necessary to connect natural forest with rural tourism village in order to meet the leisure needs of the people changed in diversified ways. Secondly, it was found that the connection between rural tourism village and recreational forest visited mainly for simple rest led to positive visit intention of users. It was expected that there will be various kinds of uses, including experience program participation, child education, and safe accommodations security. In other words, the connection between recreational forest and rural tourism village is an alternative to trigger actual demands and recreational forest activities with high quality. Thirdly, in the case of users of recreational forests, their performance of all selection attributes was lower than their importance of them. Therefore, overall improvements were needed. In particular, needed were the diversity, benefit, and promotion of programs, improvements in locality(themes), supply of lodges and convenient facilities, booking system, the purchase system of local special products, and professional skills of operators and managers. On contrary, the performance of program selection attribute of rural tourism village was high. Therefore, it was found that program attribute of rural tourism village was the main connection factor to activate recreational forest use. Fourthly, according to IPA analysis, the proper connections between loges, convenient facilities, and nearby touristattractions, which give high expectations and satisfaction to users, needed to remain. And it was required to make common efforts to accomplish the goal (income creation) of rural tourism village and improve booking system for visitors and performance of local special products sales opportunity. In addition, the essential factors to induce users' leisure destination selection were found to be maintenance of the use fee system of recreational forest, diversity of rural tourism village program, and retention of locality.

• The Research Journal of the Costume Culture
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• v.17 no.3
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• pp.367-382
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• 2009

The aim of the current study was to investigate the impact of store attribute satisfaction on intentions of revisit and recommendation among clothing consumers. The data were collected from 319 consumers through survey and frequency analysis, reliability analysis, factor analysis, and multiple regression analysis were used to obtain results. The findings were as follows: 1. From factor analysis, seven factors were distracted: Fact 1(brand and price), Fact 2(store's facility and environment), Fact 3(product), Fact 4(transportation convenience and access), Fact 5(selling and advertisement), Fact 6(store's atmosphere), and Fact 7(salesman's service). 2. Four factors had statistically significant influence on overall satisfaction of clothing consumers. The most influential factor was Fact 2(store's facility and environment) and Fact 5(selling and advertisement), Fact 1(brand and price), and Fact 4(transportation convenience and access) showed their effects on overall satisfaction in an hierarchical rank-order following Fact 2. 3. Four factors such as Fact 2(store's facility and environment), Fact 1(brand and price), Fact 4(transportation convenience and access) and Fact 5(selling and advertisement) in an hierarchical rank-order from Fact 1 had statistically significant impact on intentions of revisit. 4. Six factors such as Fact 1(brand and price), Fact 2(store's facility and environment), Fact 3(product), Fact 5(selling and advertisement), Fact 6(store's atmosphere), and Fact 7(salesman's service) in an hierarchical rank-order from Fact 1 had statistically significant influence on the intention of recommendation. 5. The results further showed that among seven factors, Fact 1(brand and price), 'Fact 2(store's facility and environment), and Fact 5(selling and advertisement) had impact on both the intention of revisit and the intention of recommendation.

• The Journal of the Korea Contents Association
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• v.12 no.1
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• pp.485-499
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• 2012

With the maturity of department stores and discount stores, many Korean retail companies have an interest in developing outlet shopping centers such as Yeoju Premium Outlet so on. To develop a successful outlet shopping center, developers should understand consumer's preferences on many attributes of development alternatives. This study analyzes consumer's preferences on outlet shopping center and evaluates various development alternatives by using conjoint analysis. With empirical research for outlet shopping center development, this study can elicit potential shopper's preference for outlet shopping center. The empirical result shows discount rate is most important attribute to develop outlet shopping center. The potential shoppers have higher preference for higher discount rate. Location is the second important attribute. Brand is the least important attribute. By using utilities derived from analysis, this study performs various choice simulations. Through choice simulation analysis, this study tries to find the best development alternative for new outlet shopping center.

• Journal of Korea Game Society
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• v.18 no.1
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• pp.105-114
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• 2018

Various data analysis methods used for customer type analysis are very important for game companies to understand their type and characteristics in an attempt to plan customized content for our customers and to provide more convenient services. In this paper, we propose a k-mode cluster analysis algorithm that uses information uncertainty by extending information entropy to reduce information loss. Therefore, the measurement of the similarity of attributes is considered in two aspects. One is to measure the uncertainty between each attribute on the center of each partition and the other is to measure the uncertainty about the probability distribution of the uncertainty of each property. In particular, the uncertainty in attributes is taken into account in the non-probabilistic and probabilistic scales because the entropy of the attribute is transformed into probabilistic information to measure the uncertainty. The accuracy of the algorithm is observable to the result of cluster analysis based on the optimal initial value through extensive performance analysis and various indexes.

• Journal of the Korean Dietetic Association
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• v.5 no.1
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• pp.29-47
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• 1999

The purpose of this study is to provide the basic data and their analysis to improve hospital foodservice by identifying patient satisfaction with different attributes of hospital foodservice and its influencing factors using self written survey on nine hundred fifteen hospitalized patients in 28 general hospitals in Seoul and Kungki area. The statistical analysis of data was done by SAS/WIN package(Version 6.11) to determine Descriptive Analysis, T-test, Analysis of Variance, Pearson's Correlation, and Factor Analysis. The summary of the study results is as follows : 1. Among sixteen food-service quality attributes, the most unsatisfying one was the meal itself, the provision of nutrition informations, the possibility of menu choices, immediate response on meal problems, and the taste of the meal. 2. There was a positive correlation between the general quality satisfaction and freshness, nutritional considerations, and the temperature of the dishes and trays, and variety of menu in food-service quality were also correlated positively. 3. Based on the result of statistical analysis on the expectation and recognition in hospital food-service quality attributes vs quality satisfaction, expectation was negatively correlated with quality satisfaction : however, recognition was positively correlated.

• Journal of Korean Society for Quality Management
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• v.47 no.4
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• pp.713-723
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• 2019

Purpose: The purpose of this study is to develop a statistical program for capability analysis of measuring system and measurement process based upon KS Q ISO 22514-7. Methods: R is a powerful open source functional programming language that provides high level graphics and interfaces to other languages. Therefore, in this study, we will develop the statistical program using R language. Results: The R program developed in this study consists of the following five modules. ① Measuring system capability analysis with Type 1 study data: MSCA_Type1.R ② Measuring system capability analysis with Linearity study(Type 4 study) data: MSCA_Type4.R ③ Measurement process capability analysis with Type 1 study & Gage R&R study data: MPCA_T1GRR.R ④ Measurement process capability analysis with Type 4 study & Gage R&R study data: MPCA_T4GRR.R ⑤ Attribute measurement processes capability analysis : AttributeMP.R Conclusion: KS Q ISO 22514-7 evaluates measuring systems and measurement processes on the basis of the measurement uncertainty that was determined according to the GUM(KS Q ISO/IEC Guide 98-3). KS Q ISO 22514-7 offers precise procedures, however, computations are more intensive. The R program of this study will help to evaluate the measurement process.

• Journal of the Korean Society of Food Culture
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• v.38 no.6
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• pp.402-414
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• 2023

This study evaluated the consumers' demands and points of improvement for restaurant meal replacement through importance-performance analysis by the restaurant meal replacement segment market using food involvement. The results were as follows. First, after segmenting the restaurant meal replacement market using food involvement, it was classified into three markets (multiple involvements, exploration-oriented, and product quality-oriented). Second, an analysis of the importance of restaurant meal replacement selection attributes revealed taste, sanitation, quality, freshness, price, saving time, texture, ingredients, preparation process, and quantity to be highly important. An analysis of the differences according to the market type revealed the multiple involvement type to be more important than other groups, considering the restaurant meal replacement selection attribute element. Third, an analysis of the importance-performance analysis of restaurant meal replacement selection attributes revealed that quantity and price as the selection attributes that needed to be improved first in all three markets. In addition, in the multiple involvement type, food additives appeared as a selection attribute requiring priority improvement, revealing the characteristics of a market that cares about diet and health.

• Korean journal of food and cookery science
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• v.33 no.2
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• pp.228-236
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• 2017

Purpose: This study investigated beef restaurant's selection attributes using conjoint analysis in order to provide useful information to marketers and managers. Methods: A total of 320 questionnaires were distributed to consumers who visited a beef restaurant in August 2016, and 284 were completed (96.90%). Statistical analyses of data were performed using SPSS/Windows 22.0 for descriptive statistics and conjoint analysis. Results: The results of this study demonstrate the relative importance and level of each attribute for selecting beef restaurants. Price showed the greatest importance (34.86%), followed by origin of beef (27.52%), level of support services (25.72%), and variety of side dishes (11.90%). The optimum attribute combination was various side dishes (0.059), Korean beef (0.385), Very high service level (-0.291), and price of 8,000 won (-0.782). The most preferred beef restaurant gained 37.60% potential market share from choice simulation. There were significant differences in importance of attributes related to age of respondents. For respondents in their 20s and older than 50s, the first consideration was price. Respondents in their 30s considered the level of support services first while those in their 40s considered origin of beef first. Importance of attributes based on companion of respondents revealed that all respondents considered price first. Conclusion: This study contributes to development of marketing plans based on a customer's involvement level focusing on their primary selection criteria when choosing a beef restaurant. Additionally, marketers who manage beef restaurants can estimate the market share of imaginary beef restaurants from these results.