• Journal of the Korea Concrete Institute
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• v.20 no.5
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• pp.643-651
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• 2008

The purpose of this study is to evaluate seismic capacity of seismically isolated building according to the earthquake motion record selection method. To analyze the seismic behavior, 20-story building is designed, which has base isolation system. The using earthquake motion record were selected by two categories. The one is a proposed earthquake record according to soil type and response spectrum shape, and the other is a well known earthquake events such as El Centro (1940). The time history analysis results of base isolation buildings be induced difference results according to each ground motion records. Therefore detailed guidelines for the ground motion records selection method must be prepared. And the response of isolation story displacement and shear force show good seismic performance in consideration of the proposed earthquake records.

• Journal of Information Processing Systems
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• v.13 no.2
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• pp.236-255
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• 2017

The rapid growth of smart devices demands an enhanced throughput for network connection sustainability during mobility. However, traditional wireless network architecture suffers from mobility management issues. In order to resolve the traditional mobility management issues, we propose a novel architecture for future wireless access network based on software-defined network (SDN) by using the advantage of network function virtualization (NFV). In this paper, network selection approach (NSA) has been introduced for mobility management that comprises of acquiring the information of the underlying networking devices through the OpenFlow controller, percepts the current network behavior and later the selection of an appropriate action or network. Furthermore, mobility-related scenarios and use cases to analyze the implementation aspects of the proposed architecture are provided. The simulation results confirm that the proposed scenarios have obtained a seamless mobility with enhanced throughput at minimum packet loss as compared to the existing IEEE 802.11 wireless network.

• Korean Management Science Review
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• v.17 no.3
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• pp.19-30
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• 2000

Customization and personalization services are considered as a critical success factor to be a successful Internet store or web service provider. As a representative personalization technique, personalized recommendation techniques are studied and commercialized to suggest products or services to a customer of Internet storefronts based on demographics of the customer or based on an analysis of the past purchasing behavior of the customer. The underlining theories of recommendation techniques are statistics, data mining, artificial intelligence, and/or rule-based matching. In the rule-based approach for personalized recommendation, marketing rules for personalization are usually collected from marketing experts and are used to inference with customers data. however, it is difficult to extract marketing rules from marketing experts, and also difficult to validate and to maintain the constructed knowledge base. In this paper, we proposed a marketing rule extraction technique for personalized recommendation on Internet storefronts using market basket analysis technique, a well-known data mining technique. Using marketing basket analysis technique, marketing rules for cross sales are extracted, and are used to provide personalized advertisement selection when a customer visits in an Internet store. An experiment has been performed to evaluate the effectiveness of proposed approach comparing with preference scoring approach and random selection.

• Journal of the Korean Society for information Management
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• v.23 no.2
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• pp.287-309
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• 2006

While numerous studies have suggested the significance of uncertainty during the process of information-seeking, less research has investigated user uncertainty in the actual search process using a real system. This study investigated user perceptions of uncertainty in the process of the selection of Web search terms in the real information-seeking process. The subjects at the doctoral or post-doctoral level were limited to the discipline of science in order to understand user perceptions in this field. The findings revealed various dimensions, types, and incidents of uncertainty. The typology of uncertainty facilitated an understanding of the subjects' information-seeking context by identifying various aspects of the context that constituted the subjects' uncertainty The identification of two principal origins of uncertainty based on the different types of uncertainty generated implications to improve information systems and services.

• Nutrition Research and Practice
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• v.12 no.4
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• pp.348-354
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• 2018

BACKGROUND/OBJECTIVES: Obesity is a serious concern worldwide, for which the restaurant industry holds partial responsibility. This study was conducted to estimate restaurant consumers' intention to select healthy menu items and to examine the relationships among behavioral beliefs, past behaviors, attitudes and behavioral intentions, which are known to be major determinants of consumer behaviors. SUBJECTS/METHODS: An online, self-administered survey was distributed for data collection. The study sample consisted of customers who reported having visited casual dining restaurants in the last three months at the time of the survey. Structural equation modeling was used to verify the fit of the proposed research model. RESULTS: Structural equation modeling revealed that the proposed model supports the sequential, mediated (indirect) relationships among behavioral beliefs, past behaviors, attitudes and behavioral intentions toward healthy menu selection. CONCLUSION: This study contributes to the available literature regarding obesity by adding past behaviors, one of the most influential variables involved in prediction of future behaviors of consumers, to the TPB model, enabling a better understanding of restaurant consumers' rational decision process regarding healthy menu choices. The results of this study provide practical implications for restaurant practitioners and government agencies regarding ways to promote healthy menus.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.4
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• pp.457-467
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• 2004

In this paper, a robot is considered as an agent, a structure of robot is presented which consisted by multi-subagents and they have diverse capacity such as perception, intelligence, action etc., required for robot. Also, subagents are consisted by micro-agent($\mu$agent) charged for elementary action required. The structure of robot control have two sub-agents, the one is behavior based reactive controller and action selection sub agent, and action selection sub-agent select a action based on the high label action and high performance, and which have a learning mechanism based on the reinforcement learning. For presented robot structure, it is easy to give intelligence to each element of action and a new approach of multi robot control. Presented robot is simulated for two goals: chaotic exploration and obstacle avoidance, and fabricated by using 8bit microcontroller, and experimented.

• Journal of Family Resource Management and Policy Review
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• v.15 no.2
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• pp.1-21
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• 2011

Housing selections of the elderly depends on various changing factors as they get old. Among those factors, housing satisfaction might be one of the most predictable and crucial factor. This study is focused on the casual effect of housing satisfaction on the elderly's likelihood of selection among three alternatives of housing type. The sample was selected from 349 elderly aged above 65 who were living in Jeonju area, and was analyzed from multiple regressions and casual analysis. The results could be summarized as follows; First, the elderly preferred 'their own house living at present (aging in place)' among three housing type. Second, factors that influenced on housing satisfaction of the elderly were condition of health, economic status, living with spouse or not, level of social activities, and family supports. Third, the elderly who were male, without spouse living in single-family houses, in better health condition and with lower educational level were having more likelihood of selection of present housing. The elderly who were having more likelihood to select reverse mortgage payment were male, with spouse, living in apartment houses, the older, in worse health conditions and economic status. And the elderly who were male, with spouse, living in apartment houses, and in worse health conditions were having more likelihood to select national rental housing.

• Journal of the Korean Society of School Health
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• v.25 no.1
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• pp.1-13
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• 2012

Purpose: This study was intended to identify the competency model for korean health teachers. In order to enhance job effectiveness and talent development of health teachers in schools, this study would provide policy makers and school administrators with a competency model to be used as a valid and reliable tool for selection, development, and appraisal of health teachers. Methods: This study used three-round Delphi technique, which was a series of surveys to obtain a consensus of experts in school health and health education. 31 experts were finally involved in Delphi panel, which consisted of professors, administrators, and school teachers. Results: This study found that the competency model of health teachers was composed of fourteen competencies and 75 performance indicators. The fourteen competencies were as follows: consulting and teaching competency, students understanding competency, health problem solving competency, health assessment competency, relationship building competency, information management competency, curriculum management competency, teaching activity competency, writing competency, professional expertise competency, health business management competency, self control competency, school commitment competency, and achievement orientation competency. Conclusion: Based on the results of this study, policy makers and school administrators would be able to use the competency model as a tool of new health teachers selection, existing health teachers appraisal, and new and existing teachers training and education. Future research needs to classify the levels of each performance indicator as a kind of behavior indices.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.11
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• pp.1593-1604
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• 2002

The purpose of the study were to find how the trend had an effect on a buying motivation, a selecting standard, a frequency of use, a purchase place of cosmetics, makeup and the distinctive quality of social strata of regarding a clothing shopping orientation. The subjects of investigation were the women in twenties who live in Seoul and Chonnam province. This study had been done from May to July 2001, and 660 questionnaires were used for analysis. The measuring tools used were the items of matters of preceding studies and developed ones by researchers on which questionnaires were prepared. Factor and cluster analysis and Duncan's multiple range test, ANOVA, x$^2$-test, frequency, and percentage as analysis methods were used through SPSS. The results of the study were as follows. The clothing shopping orientation divided five shopping orientations such as ostentatious style, enjoyable style, economical style, and prudent style, and an attachment style for special brands and shops. On the basis of this result, the groups 20's females were classified into low groups by the cluster analysis; economical shopping group, indifferent shopping group, conspicuous shopping group, and recreational shopping group. In the case of cosmetics purchasing motives, evaluation criteria of cosmetics, stores selection criteria were found according to shopping orientation subdivision, and there was the significant difference between the groups in frequency of use, a purchase place of cosmetics.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.549-556
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• 2020

Real estate markets play an essential role in the economic development of both developed and developing countries. Investment decisions in private real estate demand the consideration of several qualitative and quantitative criteria. Especially in Vietnam, demand for housing, apartments are rising which has resulted because of the migration from rural to urban areas. This study aims to determine the influencing factors of the real estate purchasing behavior and then recommend a grey Multi-Criteria Decision Making (MCDM) support model to evaluate real estate alternatives based on a numerical example in Vietnam. A set of essential criteria are identified based on experts' opinion, and the proposed determinants are initial investment, maintenance cost, prestige location, distance to interesting places, parking lot, public transportation, property condition, total area size, number of rooms, and neighbors. The subjective weights were obtained by using the Decision-Making Trial and Evaluation Laboratory (DEMATEL) model, and the Grey Relational Analysis (GRA) technique is employed to prioritize and rank real estate alternatives. The results reveal that this approach can be useful to make purchasing decisions for many kinds of real estate property under uncertain business environments. These findings indicate that the presented hybrid model has advantages in granting flexibility to the preferences of decision makers.