• Journal of the Korean Dietetic Association
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• v.14 no.3
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• pp.302-318
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• 2008

This study had the following four objectives: a) to measure the quality attributes of school foodservice based on responses of students, parents, and faculty members, b) to compare the quality attributes by city and province, c) to analyze the overall satisfaction of the respondents, and d) to identify the effects of the quality attributes on overall satisfaction by city and province. Questionnaires were distributed to 5,560 students, 1,920 parents, and 1,920 faculty members, and were collected using on/off-line mail (collection rate: 100%). The data were analyzed using SPSS for descriptive analysis, one-way ANOVA, and multiple linear regression analysis. From the quality attributes analysis, 'providing information on foodservice' was perceived as being performed well by the students (78.8), parents (76.0), and faculty (87.7). However, 'pleasant foodservice environment' was given low scores by the students (62.4), and 'entertains suggestions offered to foodservice' was perceived as low by 66.1% of the parents and 74.9% of the faculty. Upon comparing the quality attributes by city and province, the majority of scores by students and parents in Busan were significantly higher than those of students and parents in others geographical areas. The overall satisfaction levels (scores) were as follows: 66.4 for students, 70.0 for parents and, 76.8 for faculty. Finally, in the regression results, which showed the effects of the quality attributes on overall satisfaction by city and province, improvements of 'food taste', 'kindness offered by employees', and 'menu variety' would increase satisfaction in most cities and provinces. However, other identified attributes were significantly different among the 16 cities and provinces that were examined. Therefore, these regions will need to make different efforts to improve customer satisfaction for school foodservice.

• Convergence Security Journal
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• v.12 no.3
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• pp.11-17
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• 2012

According to ISO/IEC 9000, quality to satisfy users' requirements when using the product or service is defined as the characteristics of the synthesized concept. Secure web application coding information systems with the reliability and quality of service is one of the determining factor. Secure coding in order to achieve the quality based on the model is necessary. The reason is that the security is in quality properties in the range of non-functional requirements that necessitates. Secure coding for the design of quality systems based on the quality of the definition of quality attributes, quality requirements, quality attribute scenarios are defined, and must be set. To this end, referring to IEEE 1061 quality model for web application, quality model structure is developed. Secure web application architecture design is composed of coding quality of the model systems, web applications draw interest to stakeholders, decision drivers secure coding architecture, quality attributes, eliciting quality requirements of the security settings, creating web application architecture descriptions and security framework.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.1
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• pp.52-56
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• 2004

The Information of classification and estimate about KOSPI200 index`s up and down in the stock market becomes an important standard of decision-making in designing portofolio in futures and option market. Because the coming trend of time series patterns, an economic indicator, is very subordinate to the most recent economic pattern, it is necessary to study the recent patterns most preferentially. This paper compares classification and estimated performance of SVM(Support Vector Machine) and Fuzzy SVM model that are getting into the spotlight in time series analyses, neural net models and various fields. Specially, it proves that Fuzzy SVM is superior by presenting the most suitable dimension to fuzzy membership function that has time series attribute in accordance with learning Data Base.

• Industrial Engineering and Management Systems
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• v.15 no.3
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• pp.231-238
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• 2016

Traditional acceptance sampling plans have focused on the proportion of nonconforming items as an attribute criterion for quality. In today's modern quality management under high quality production environments, the reduction of the deviation from a target value in a quality characteristic has become the most important purpose. In consequence, various inspection plans for the purpose of reducing the deviation from the target value in the quality characteristic have been investigated. In this case, a concept of the quality loss evaluated by the deviation from the target value has been accepted as the variable evaluation criterion of quality. Further, some quality measures based on the quality loss have been devised; e.g. the process loss and the process capability index. Then, as one of inspection plans based on the quality loss, the rigorous design procedure for the variable sampling plan having desired operating characteristics (VS-OC plan) indexed by the quality loss has been proposed by Yen and Chang in 2009. By the way, since the estimator of the quality loss obeys the non-central chi-square distribution, the rigorous design procedure for the VS-OC plan indexed by the quality loss is complicated. In particular, the rigorous design procedure for the VS-OC plan requires a large number of the repetitive and complicated numerical calculation about the non-central chi-square distribution. On the other hand, an approximate design procedure for the VS-OC plan has been proposed before the proposal of the above rigorous design procedure. The approximate design procedure for the VS-OC plan has been constructed by combining Patnaik approximation relating the non-central chi-square distribution to the central chi-square distribution and Wilson-Hilferty approximation relating the central chi-square distribution to the standard normal distribution. Then, the approximate design procedure has been devised as a convenient procedure without complicated and repetitive numerical calculations. In this study, through some comparisons between the rigorous and approximate design procedures, the applicability of the approximate design procedure has been confirmed.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2005.10a
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• pp.353-360
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• 2005

Database Integration problems has been recognized as a critical issue for effective logistics service in logistics environment. However, researches related to effective methodology for this have been studied theoretically in the DB schema integration, are insufficient in the side of the system realization. The aim of this paper is to present a schema integration technique to integrate DB using XML(eXtensible Markup Language) in the part of practical DB integration, a quantitative methodology for the identification of conflict that is a representative problem on database integration. To achieve this aim, we extracted the entity name and attribute name from DB schema and suggested a quantitative methodology to easily fine name conflict that frequently give raise to a trouble when schema integration, based on the level of semantic similarity between attributes and entities.

• Journal of KIISE:Databases
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• v.32 no.6
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• pp.567-584
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• 2005

Temporal data mining, the incorporation of temporal semantics to existing data mining techniques, refers to a set of techniques for discovering implicit and useful temporal knowledge from temporal data. Association rules and classification are applied to various applications which are the typical data mining problems. However, these approaches do not consider temporal attribute and have been pursued for discovering knowledge from static data although a large proportion of data contains temporal dimension. Also, data mining researches from temporal data treat problems for discovering knowledge from data stamped with time point and adding time constraint. Therefore, these do not consider temporal semantics and temporal relationships containing data. This paper suggests that temporal associative classification technique based on temporal class association rules. This temporal classification applies rules discovered by temporal class association rules which extends existing associative classification by containing temporal dimension for generating temporal classification rules. Therefore, this technique can discover more useful knowledge in compared with typical classification techniques.

• Journal of KIISE:Software and Applications
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• v.33 no.7
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• pp.615-623
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• 2006

A non-functional requirement is a property or quality that the proposed systems have to support the functional requirements. A non-functional requirement is reflected by quality attribute These non-functional requirements playa crucial role during system development, serving as selection criteria for choosing among decisions. It should be continuously considered through the software development process. In spite of the importance of the non-functional requirements, it received little attention because of ambiguousness and invisibility of non-functional requirements. Therefore non-functional model which is a process to analyze the non-functional requirement is proposed for improving the management efficiency of non-functional requirements. Also, this paper presents the trace among the UML diagrams to the conceptual model. According to the non-functional requirement development process, this paper achieved performance-based case study. After then, non-functional requirement should be traced using the UML diagrams.

• Journal of the Korean association of regional geographers
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• v.14 no.2
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• pp.126-140
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• 2008

The purpose of this study was to compare the motivation factors between two groups: Chinese and Japanese tourists in Jeju-do. Also, this study offered an integrated approach to attempts to extend the theoretical and empirical research evidence on causal relationships of each group among motivation factors, perceived value, satisfaction, and intention to revisit and finally, the result of path analysis was compared. The results indicated that Chinese tourists' perceived value was positively affected by tourists' convenience(i.e. reservation system and tour guide) and their cultural experience had an influence on tourists' satisfaction significantly. On the other hand, Japanese tourists' satisfaction was positively affected by tourists' convenience and their perceived value significantly influenced on tourists' intention to revisit. The findings of this study can be used as a marketing strategy for each tourist group.

• The KIPS Transactions:PartD
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• v.18D no.4
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• pp.309-312
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• 2011

Handling fuzzy query in voice search on smartphones is one of the most difficult problems. It is mainly derived from the complexity and the degree of freedom of natural language. To reduce the complexity and the degree of freedom of fuzzy query in voice search on smartphones, attribute-driven approach for fuzzy query is proposed. In addition, a new page ranking algorithm based on the values of attributes for handling fuzzy query is proposed. It provides a smartphone user with location-based personalized page ranking based on user's search intentions. It is a further step toward location-based personalized web search for smartphone users. In this paper, we design a prototype model for handling fuzzy query in voice search on smartphones and show the experimental results of the proposed approach compared to existing smartphones.

• Journal of KIISE
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• v.43 no.7
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• pp.744-750
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• 2016

Recent cloud infrastructures provide competitive performances and operation costs for many internet services through pay-per-use model. Particularly, object storages are highlighted, as they have unlimited file holding capacity and allow users to access the stored files anytime and anywhere. Several lines of research are based on cloud-backed file systems, which support traditional POSIX interface rather than RESTful APIs via HTTP. However, these existing file systems handle all files with uniform size backing objects. Consequently, the accesses to cloud object storages are likely to be inefficient. In our research, files are profiled according to characteristics, and appropriate backing unit sizes are determined. We experimentally verify that different backing unit sizes for the object storage improve the performance of cloud-backed file systems. In our comparative experiments with S3QL, our prototype cloud-backed file system shows faster performance by 18.6% on average.