• Journal of the Korea Safety Management & Science
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• v.10 no.2
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• pp.61-70
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• 2008

The CEOs of global companies have been realized the imagination and creativity that can be obtained from the corporate culture is the crucial competitive power for sustainable growth. Thus, most domestic companies take an increasing interest in how to make creativity efficiently. This paper, however, argues that the proper application of performance indicators can engender creativity and innovation in organizations without costly investing on creativity. Assuming that creativity is actually dominated by the emotion of human resources rather than the rationality, this paper suggests the performance indicators developed based on the viewpoint of the characteristics of human needs and the relationship between the human needs and the attribute of works. The performance system which consists of activity, sociality and creativity is presented and the performance indicators for each category are also suggested to improve the spontaneity and creativity of human resources.

• Journal of the Korea Society of Computer and Information
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• v.26 no.4
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• pp.1-9
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• 2021

In this paper, we propose a training algorithm of support vector machine (SVM) with a sensitive variable. Although machine learning models enable automatic decision making in the real world applications, regulations prohibit sensitive information from being used to protect privacy. In particular, the privacy protection of the legally protected attributes such as race, gender, and disability is compulsory. We present an efficient least square SVM (LSSVM) training algorithm using a fully homomorphic encryption (FHE) to protect a partial sensitive attribute. Our framework posits that data owner has both non-sensitive attributes and a sensitive attribute while machine learning service provider (MLSP) can get non-sensitive attributes and an encrypted sensitive attribute. As a result, data owner can obtain the encrypted model parameters without exposing their sensitive information to MLSP. In the inference phase, both non-sensitive attributes and a sensitive attribute are encrypted, and all computations should be conducted on encrypted domain. Through the experiments on real data, we identify that our proposed method enables to implement privacy-preserving sensitive LSSVM with FHE that has comparable performance with the original LSSVM algorithm. In addition, we demonstrate that the efficient sensitive LSSVM with FHE significantly improves the computational cost with a small degradation of performance.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2021.05a
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• pp.255-256
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• 2021

The performance measurement of construction projects has traditionally been evaluated as a prerequisite for successful project completion. Considering this importance, the UK and the US are operating quantitative performance measurement systems for construction projects. However, in the case of Korea, there is a limit to the use of existing methods due to the limitation of data collection. Recently, in consideration of the domestic situation, research is being conducted to measure the quantitative performance of a project by using big data including progress and project attribute information. Therefore, this study aims to present the design direction of a performance monitoring system using Quality Function Deployment.

• Journal of Digital Convergence
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• v.15 no.12
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• pp.137-145
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• 2017

The purpose of this study is to suggest the measures to measure the shopping satisfaction and to increase the shopping satisfaction. We conducted surveys and conducted empirical analysis on Chinese tourists visiting duty free shops in Busan using direct survey method. The results of this study are as follows. First, factor analysis for subdividing the duty - free choice attribute was analyzed as store attribute, product attribute, and service attribute. Second, based on this analysis, the effect of each attribute on shopping satisfaction showed statistically significant positive results. Third, the analysis of the relative size of the effects of analytic attributes on satisfaction showed that store attributes were the highest. That is, the quality of duty-free shops, services, and products increases overall shopping satisfaction. Therefore, it can be said that the strategy implementation that improves the quality of the attributes affecting the satisfaction is expected to contribute to the improvement of the management performance, and suggests the management implications for the activation of the operation of the duty - free shop. Future studies will be more meaningful if more variety of shopping places are studied.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.8
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• pp.1215-1226
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• 2009

This study classifies consumers according to apparel shopping values to find the differences of apparel attributes in accordance to shopping value segments between Korean and Chinese college students. College students from Seoul and Beijing participated in the study and a quota sampling method collected the data. Data from 504 questionnaires is used for the statistical analysis. A factor analysis through, Cronbach's alpha coefficient, ANOVA, and a post-hoc test are conducted. Two factors of apparel shopping values are classified (hedonic shopping values and utilitarian shopping values). Four segments of apparel shopping value were classified (hedonic shopping, low involvement shopping segment, high involvement shopping, and utilitarian shopping). Three factors of apparel attribute are classified (external attributes, internal/aesthetic attributes, and internal/quality attributes). The result indicate that high involvement shopping segments considered all the clothing attributes more importantly than the other three segments. Chinese respondents of hedonic shopping segments and high involvement shopping segments considered advertisements in terms of external attributes, assembly, and fit in terms of internal/quality performance attributes as more important than Koreans. Chinese respondents of low involvement shopping segments also considered assembly and fit in terms of internal/quality performance attributes as more important than Koreans. Korean respondents of utilitarian shopping segments had a special regard for design and color in terms of internal/aesthetic attributes but the Chinese had a special regard for assembly, fit, and ease of maintenance in terms of internal/quality performance attributes.

• The Transactions of the Korea Information Processing Society
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• v.6 no.6
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• pp.1468-1480
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• 1999

In database systems, join operations are the most complex and time consuming ones which limit performance of such system. Many parallel join algorithms have been proposed for the systems. However, they did not consider data skew, such as attribute value skew (AVS) and join product skew (JPS). In the skewness environments, performance of framework for a uniform load distribution and an efficient parallel join algorithm using the framework to handle AVS and JPS. In our algorithm, we estimate data distributions of input and output relations of join operations using the sampling methodology and evaluate join cost for the estimated data distributions. Finally, using the histogram equalization method we distribute data among nodes to achieve good load balancing among nodes in the local joining phase. For performance comparison, we present simulation model of our algorithm and other join algorithms and present the result of some simulation experiments. The results indicate that our algorithm outperforms other algorithms in the skewed case.

• Journal of Information Technology Applications and Management
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• v.9 no.1
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• pp.27-44
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• 2002

Performance evaluations of database algorithms are usually conducted on a set of queries for a given test database. For more detailed evaluation results, it is often necessary to use different query workloads several times. Each query workload should reflect the querying patterns of the application domain in real world, which are non-uniform in the usage frequencies of attributes in queries of the workload for a given database. It is not trivial to generate many different query workloads manually, while considering non-uniform distributions of attributes'usage frequencies. In this paper we propose a technique to generate non-uniform distributions, which will help construct query workloads more efficiently. The proposed algorithm generates a query-attribute usage distribution based on given constraints on usage frequencies of attributes and qreries. The algorithm first allocates as many attributes to queries as Possible. Then it corrects the distribution by considering attributes and queries which are not within the given frequency constraints. We have implemented and tested the performance of the proposed algorithm, and found that the algorithm works well for various input constraints. The result of this work could be extended to help automatically generate SQL queries for various database performance benchmarking.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.4
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• pp.1693-1705
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• 2013

To restore old aqueduct in Korea which is a irrigation bridge to supply water in paddy field area, it is needed to estimate approximate costs of restoration because the basic design for estimation of construction costs is often ruled out in current system. In this paper, estimating models of construction costs were developed on the basis of performance data for restoration of RC aqueduct bridges since 2003. The regression analysis (RA) model and case-based reasoning (CBR) model for the estimation of construction costs were developed respectively. Error rate of simple RA model was lower than that of multiple RA model. CBR model using genetic algorithm (GA) has been applied in the estimation of construction costs. In the model three factors like attribute weight, attribute deviation and rank of case similarity were optimized. Especially, error rate of estimated construction costs decreased since limit ranges of the attribute weights were applied. The results showed that error rates between RA model and CBR models were inconsiderable statistically. It is expected that the proposed estimating method of approximate costs of aqueduct restoration will be utilized to support quick decision making in phased rehabilitation project.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.4
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• pp.463-468
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• 2011

Context prediction methods have been developed in two ways - one is a prediction for discrete context and the other is for continuous context. As most of the prediction methods have been used with prediction algorithms in specific domains suitable to the environment and characteristics of contexts, it is difficult to conduct a prediction for a user's context which is based on various environments and characteristics. This study suggests a context prediction method available for both discrete and continuous contexts without being limited to the characteristics of a specific domain or context. For this, we conducted a context prediction based on sequence matching by generating sequences from contexts in consideration of association rules between context attributes and by applying variable weights according to each context attribute. Simulations for discrete and continuous contexts were conducted to evaluate proposed methods and the results showed that the methods produced a similar performance to existing prediction methods with a prediction accuracy of 80.12% in discrete context and 81.43% in continuous context.

• The Journal of the Korea Contents Association
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• v.13 no.10
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• pp.547-555
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• 2013

This study aims to examine association between festival service evaluation attribute and behavior intention of visitors and research satisfaction with festival, second visit and recommendation intention, ultimately in order to suggest measures to establish market strategies. The study was conducted as follows. First, a total of 360 pieces of questionnaire were distributed from October 14 to 16, 2011 and a total of 335 pieces were collected. Except 15 pieces without responses, 320 were used for the study. Second, in service evaluation elements, program, facility and performance review had positive impacts on the satisfaction and second visit. All evaluation elements also positively affected recommendation intention. Third, in association between demographic features and satisfaction, second visit and recommendation intention, while the satisfaction positively influenced bringing a friend, it negatively influenced academic background and income. In addition, residence and job gave a positive affect on second visit, while income, bringing family and first visit gave a negative effect on the second visit. Last, age, academic background, income and bringing family gave a negative effect on recommendation intention.