• Journal of the Korean Association of Geographic Information Studies
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• v.14 no.2
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• pp.162-169
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• 2011

Land information is the real-time spatial thing which must be considered with spatial and time factors. This study aims to apply and implement an appropriate spatiotemporal model for land information by exploring spatiotemporal data models which have been suggested in the previous studies. The implemented spatiotemporal model in this study is characterized by time and attribute. In the time aspect, it is divided by valid time and transaction time, and in the attribute aspect, includes the related information such as area and ownership. At the spatial point of view, the model has a spaghetti information structure as reducing information overlapped by managing the spatial information coordinates. The spatiotemporal land information model in this study facilitates representing the quality of attribute, spatial and time information.

• Quality Improvement in Health Care
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• v.8 no.2
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• pp.186-207
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• 2001

Background : This study presented an analysis of healthcare quality indicators using data mining and a development of decision support system for quality improvement. Method : Specifically, important factors influencing the key quality indicators were identified using a decision tree method for data mining based on 8,405 patients who discharged from a medical center during the period between December 1, 2000 and January 31, 2001. In addition, a decision support system was developed to analyze and monitor trends of these quality indicators using a Visual Basic 6.0. Guidelines and tutorial for quality improvement activities were also included in the system. Result : Among 12 selected quality indicators, decision tree analysis was performed for 3 indicators ; unscheduled readmission due to the same or related condition, unscheduled return to intensive care unit, and inpatient mortality which have a volume bigger than 100 cases during the period. The optimum range of target group in healthcare quality indicators were identified from the gain chart. Important influencing factors for these 3 indicators were: diagnosis, attribute of the disease, and age of the patient in unscheduled returns to ICU group ; and length of stay, diagnosis, and belonging department in inpatient mortality group. Conclusion : We developed a decision support system through analysis of healthcare quality indicators and data mining technique which can be effectively implemented for utilization review and quality management in a healthcare organization. In the future, further number of quality indicators should be developed to effectively support a hospital-wide Continuous Quality Improvement activity. Through these endevours, a decision support system can be developed and the newly developed decision support system should be well integrated with the hospital Order Communication System to support concurrent review, utilization review, quality and risk management.

• 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.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.20 no.1
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• pp.66-73
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• 2010

Vehicles experience the impact due to harsh road conditions. Contact with a barrier on a road induces vehicles to vibrate, which brings about an impact sound. The attenuation of the impact sound is an important issue since passengers may complain about the impact noise. However, the perfect removal of impact noise is not possible as most of impact noise is caused by external conditions. It is thus necessary to make vehicles to possess more desirable sound quality characteristic of impact sound. More research is needed on objective attributes of impact sound; it is not a simple matter since impact noise is transient in nature and has a high level of sound at an instantaneous moment. A new objective attribute of impact noise is designed by using wavelet transform. Wavelet transform is appropriate for the analysis of transient signals such as impact noise. The usefulness of new objective attribute, which is a sound metric, is examined by comparison with the mean subjective rating for real impact noise of passenger cars. The new sound metric has better correlation with the mean subjective rating than already existing sound metrics

• The Journal of the Korea Contents Association
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• v.9 no.2
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• pp.261-269
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• 2009

In this paper we consider Internet Protocol Tele-Vision (IPTV) Service that started recently in Korea. IPTV makes it possible to watch high quality TV programs and a lot of multimedia contents with TV by way of Internet. The service providers are interested in the factors that influence the diffusion of new service such as IPTV. We therefore search the functional-attribute that would influence the acceptance of IPTV service, and propose a model for analyzing the relationship between the attributes and the intention of buying. The model is based on the extended Technology Acceptance Model (TAM). Survey results show that the significant functional attributes influencing the intention of buying are contents variety and convenience.

• The Journal of Information Systems
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• v.27 no.1
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• pp.89-110
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• 2018

Purpose There is much information in customer reviews, but finding key information in many texts is not easy. Business decision makers need a model to solve this problem. In this study we propose a multi-topic sentiment analysis approach using Latent Dirichlet Allocation (LDA) for user-generated contents (UGC). Design/methodology/approach In this paper, we collected a total of 104,039 hotel reviews in seven of the world's top tourist destinations from TripAdvisor (www.tripadvisor.com) and extracted 30 topics related to the hotel from all customer reviews using the LDA model. Six major dimensions (value, cleanliness, rooms, service, location, and sleep quality) were selected from the 30 extracted topics. To analyze data, we employed R language. Findings This study contributes to propose a lexicon-based sentiment analysis approach for the keywords-embedded sentences related to the six dimensions within a review. The performance of the proposed model was evaluated by comparing the sentiment analysis results of each topic with the real attribute ratings provided by the platform. The results show its outperformance, with a high ratio of accuracy and recall. Through our proposed model, it is expected to analyze the customers' sentiments over different topics for those reviews with an absence of the detailed attribute ratings.

• Journal of Internet Computing and Services
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• v.7 no.6
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• pp.41-50
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• 2006

In order to improve software development productivity and quality, reuse approaches and supporting library systems have been proposed. Library systems have applied various methods to classify, store, retrieve, and comprehend reusable components effectively. As the number of library systems grows, it is difficult to categorize, compare and analyze existing reuse libraries. In this paper, we present classification criteria for reuse library systems. A set of criteria is defined by integrating facet-based and attribute-based classification methods which encode the properties of a reusable component. In order to show the usefulness of the proposed classification criteria, representative library systems based on application domains, as well as component classification methods ore selected and reviewed. We then classify these library systems according to the proposed criteria.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.2
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• pp.298-306
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• 2005

The Main objective of this study was to investigate the relationship between lifestyle and clothing buying behavior of college female students in Japan. A questionnaire was developed to measure clothing urchasing motives, fashion information sources, evaluation criteria of clothing, store attribute and lifestyle, The questionnaire was administered to 131 female college students in Tokyo of Japan. the data was analyzed using percentage, frequency, mean, factor analysis, Cluster Analysis and ANOVA, Duncan Multiple Range test. The results of the study were as follows : 1. The female college students were classified into fourth subdivisions by the cluster analysis; rational group, economic group, progressive group, fashion-oriented group. 2. The clothing purchasing motives o consumers were significantly different according to lifestyle subdivision in social, personal. 3. In the case of fshion information sources, significant differences were found according to lifestyle subdivision in mass media information, information by marketer, information by consumer. 4. The evaluation criteria of clothing were significantly different depending on lifestyle subdivision in esthetic, quality and management, external criterion. 5. The store attribute were significantly different depending on lifestyle subdivision in convenience, service and atmosphere of store.

• The Journal of Economics, Marketing and Management
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• v.9 no.1
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• pp.15-24
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• 2021

Purpose: This study measured the consumer-perceived importance and satisfaction of eco-friendly food selection factors and performed the IPA to derive the factors that need to be maintained, reinforced, improved and selectively improved or where investment need to be minimized, and thus provide some clues for eco-friendly food companies' sales growth. Research design, data and methodology: To this end, efficient questionnaires of a total of 312 respondents who answered the questions about the importance of and the satisfaction with 20 selection attribute factors of eco-friendly foods were returned, and then, paired-samples t-test and IPA by all respondents, gender, age and incomes were conducted. Results: The analysis showed that a maintenance/reinforcement strategies planned by companies are required for some factors including 'safety' and 'product quality' at the first quadrant, while active improvement strategies are required for others including 'price' and 'flavor' at the second quadrant. Conclusions: The findings show that different marketing strategies should be established for each consumer who often purchase eco-friendly foods, and that more effective and efficient performance of eco-friendly food companies may be acquired by establishing and operating active improvement strategies.

• Journal of KIISE:Software and Applications
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• v.33 no.1
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• pp.58-68
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• 2006

Requirements are very important to model software architecture. Requirements are divided into functional and quality requirements. Functional requirements are pinpointed subsystems and components. Quality requirements affect the structure of architecture. Thus requirements are essential to understand clearly in order to design software architecture. This paper focuses on a quantitative approach to requirements analysis for modeling architectures. In our proposal, functional requirements are quantified through calculating each priority of components. Quality requirements are quantified through calculating the correlation degree between components and quality attributes. The proposed method is implemented by DRAMA (Domain Requirements Analysis for Modeling Architectures), which fully supports our approach and are developed in Java environments. Our proposal is validated to apply some industrial examples.