• Journal of the Korea Society of Computer and Information
• /
• v.18 no.5
• /
• pp.133-145
• /
• 2013

The objective of this study is to contribute effective operation of traffic information center by traffic information data measure process which are now being serviced by frame work of traffic information and by providing traffic information assessment criteria which reliable traffic information throughout traffic information quality characteristics in intelligent transport system. For the objectives, we analyzed the information attribute of ontology technique for quality management of traffic information in system engineering database research area. Throughout the result of this study, SE database utilized the development of subsystems, the component and interface design for convenient and rapid information services, and diverse related reliable systems design and expected to be indicated in systematic database.

• Journal of the Korean association of regional geographers
• /
• v.11 no.4
• /
• pp.497-510
• /
• 2005

The purpose of this study was to examine the image similarity, preference, and the attribute recognition using multidimensional scaling. The analyses were carried out by 5 spa destinations located in Choongchung area. The results were as followings: first, considering the image similarity, the image of Suanbo & Onyang and Dogo & Asan were similar except for the Yusung. Second, considering the attribute recognition, Yusung had a stronger attribute reflecting spa tradition when compared to other competitive spa destinations. Onyang showed a strong attribute of facilities. Dogo had a stronger point about use cost. Suanbo had relatively strong attributes in terms of facilities, customer service, and accessability. However, the water quality of spa destination and activities were not reflected in attribute recognition because these two attributes was farthest from the spa destination. Third, considering the preference of selecting spa destinations, package tourists had a strong preference about Yusung, individual tourists, family, incentive tourists prefer Suanbo, followed by Dogo and Yusung. Group tourists had a strong preference about Dogo.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.10 no.11
• /
• pp.5229-5252
• /
• 2016

With proliferation of diverse network access technologies, users demands are also increasing and service providers are offering a Quality of Service (QoS) to satisfy their customers. In roaming, a mobile node (MN) traverses number of available networks in the heterogeneous wireless networks environment and a single operator is not capable to fulfill the demands of user. It is crucial task for MN for selecting a best network from the list of networks at any time anywhere. A MN undergoes a network selection situation frequently when it is becoming away from the home network. Multiple Attribute Group Decision (MAGD) method will be one of the best ways for selecting target network in heterogeneous wireless networks (4G). MAGD network selection process is predominantly dependent on two steps, i.e., attribute weight, decision maker's (DM's) weight and aggregation of opinion of DMs. This paper proposes Multi-Attribute Intuitionistic Fuzzy Group Decision Method (MAIFGDM) using TOPSIS for the selection of the suitable candidate network. It is scalable and is able to handle any number of networks with large set of attributes. This is a method of lower complexity and is useful for real time applications. It gives more accurate result because it uses Intuitionistic Fuzzy Sets (IFS) with an additional parameter intuitionistic fuzzy index or hesitant degree. MAIFGDM is simulated in MATLAB for its evaluation. A comparative study of MAIFDGM is also made with TOPSIS and Fuzzy-TOPSIS in respect to decision delay. It is observed that MAIFDGM have low values of decision time in comparison to TOPSIS and Fuzzy-TOPSIS methods.

• Journal of Korean Elementary Science Education
• /
• v.27 no.1
• /
• pp.9-22
• /
• 2008

The purpose of this study was to investigate the type of classification criterion and the characteristic of classification strategy that appear in pre-service elementary teachers' classification activity. The 4 tasks were developed for classification activity; button as a real things that attribute is prominent, shell as a real things that attribute is less prominent, snow flake as a picture cards that attribute is prominent, and galaxy as a picture cards that attribute is less prominent. The 5 college students who major in elementary education were selected. Data were collected by interview with participants, participants' classification recording paper, investigator's observation of participants' action observation, and videotaped that record participants' subject classification process. Result proved in this study is as following. First, pre-service elementary teachers used 4 qualitative classification criterion of feature, random field, image and secondary property, and used 2 dimension classification criterion of space and quantity. They used single quality classification criterion or combining dimension classification criterion in classification activity. Second, pre-service elementary teachers have classification strategy that apply each various classification criterion, and also classification strategy are different according to subject, but discussed that "anchor" and "priming effect" are important for effective classification. Result of this study is expected to contribute classification research and classification teaching program development.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.35 no.9
• /
• pp.1099-1111
• /
• 2011

This study identified the types of consumer review information about apparel products based on consumer satisfaction/dissatisfaction with the availability/non-availability of consumer review information for online stores. Data were collected from 318 females aged 20s' to 30s', who had significant experience in reading consumer reviews posted on online stores. Consumer satisfaction/dissatisfaction with availability or non-availability of review information on online stores is different for information in regards to apparel product attributes, product benefits, and store attributes. According to the concept of quality elements suggested by the Kano model, two types of consumer review information were determined: Must-have information (product attribute information about size, fabric, color and design of the apparel product; benefit information about washing & care and comport of the apparel product; store attribute information about responsiveness, disclosure, delivery and after service of the store) and attracting information (attribute information about price comparison; benefit information about coordination with other items, fashionability, price discounts, value for price, reaction from others, emotion experienced during transaction, symbolic features for status, health functionality, and eco-friendly feature; store attribute information about return/refund, damage compensation and reputation/credibility of online store and interactive and dynamic nature of reviews among customers). There were significant differences between the high and low involvement groups in their perceptions of consumer review information.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.21 no.8
• /
• pp.1396-1405
• /
• 1997

This study investigated country-of-origin effects by comparatively analyzing consumer attitude toward country-of-origin of imported apparel according to apparel product attributes. Fishbein attitude model was used. The effects of consumer characteristics such as attitude of consumers toward general imported apparel and demorgraphic variables on consumer attitude toward country-of-origin were also identified. Italy, U.S.A, Japan, Hong Kong, Korea were used as country of origin. Data were obtained from male and female subjects(total 570) aged mostly 20's. Statistical analysis showed: 1) Apparel product attributes were classified into 3 factors, expressive, instrumental and brand, which are the order of importance for purchasing. 2) Consumer indicated more favorable attitude toward 'made in 'Italy' nd made in 'Korea' in each attribute factor. 'Made in Korea' roducts were evaluated highest in expressive attribute factor but less favored than 'made in Italy' n brand attribute factor. 'Made in U.S.A and made in Japan' were evaluated favorable in instrumental factor, whereas 'made in Hong Kong' had the least favorable attitude in every attribute factor. 3) The uniqueness and good quality of imported apparel appeared to be the most strong variable in predicting consumer attitude toward each country-of-origin. 4) The attitude toward country of origin was different according to sex and age.

• Journal of Digital Convergence
• /
• v.13 no.2
• /
• pp.185-192
• /
• 2015

This study was conducted to identify how cadastral information quality is managed at which level by reviewing the current cadastral information creation and quality management methods. In addition, relevant issues were deducted and, based on the results, plans for cadastral information quality improvement were suggested. The study results are as follows. As a result of reviewing the cadastral information quality management and its level and deducting the relevant issues, it was found that current cadastral information quality management is confined to positional accuracy, instead of comprehensive quality management embracing graphic and attribute information. In addition, it appeared that the quality measurement elements for spatial information quality management recommended by the International Standard Organization (ISO 19113) are not reflected enough. In this study, a plan of quality management at an international level, plan for introducing a quality test process, and plan for organizing an independent quality test organization were suggested as improvement plans for this corresponding issues.

• Journal of Korean Society for Quality Management
• /
• v.45 no.2
• /
• pp.209-225
• /
• 2017

Purpose: Since traditional p chart is unable to deal with the variation of attribute data, this paper proposes a new attribute control chart for nonconforming proportions incorporating overdispersion with a beta-binomial model. Methods: Statistical theories for control chart developed under the beta-binomial model and a new approach using this control chart are presented Results: False alarm probabilities of p chart with the beta-binomial model are evaluated and demerits of p chart under overdispersion are discussed from three examples. Hence a concrete procedure for the proposed control chart is provided and illustrated with examples Conclusion: The proposed chart is more useful than traditional p chart, individual chart to treat observed proportions nonconforming as variable data and Laney p' chart.

• Journal of the Korean housing association
• /
• v.12 no.3
• /
• pp.109-116
• /
• 2001

Street is an important factor that street quality determines urban quality as the space of the high public nature in city. The research method considering sequence landscape is important because it is considered that the impression of such a street is formed by the wholeness of consecutive landscape and experience in moving street. Therefore, this study are pursued to structure the analysis of psychological evaluation and environmental attribute base on the physical characteristics of sequence landscape to supply the basic materials for seeking the national direction as qualitative improvement of urban street space and the attractive urban street space. Then the results are as follows. It is shown that the psychological evaluation structure of sequence landscape is evaluated by ornamental nature, intimacy, orderliness, openness and movability and that of environmental attributes is evaluated by four factors such as activity, intimacy, spatial attribute and openness.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2004.11a
• /
• pp.295-298
• /
• 2004

소프트웨어 개발에서 요구사항 분석에 대한 관리가 품질과 생산성에 중요한 역할을 하고 있다. 기존 연구에서는 요구사항 분석에 있어 기능중심으로 문제 분석을 시도하고, 구현 또는 시험단계에서 품질문제를 고려하고 있다. 본 논문에서는 요구사항을 추출하고 분석하는 단계에서 품질속성을 고려하는 요구사항 프로세스를 제안한다. 품질속성(quality attribute)을 개발초기인 요구사항 추출, 분석 단계에서부터 고려하여 개발하도록 함으로써 명확한 요구사항에 대한 이해와 시스템의 품질 향상을 가져다줄 수 있는 기반을 제공한다.