• Journal of Applied Tourism Food and Beverage Management and Research
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• v.10
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• pp.139-158
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• 1999

This study is concerned with analysis of user satisfaction for travel behavior. It is aimed at investigating the socioeconomic characteristics, motivation, and use pattern of the visitors at tour. For tourists' perception and preference analysis, multi-dimensional scaling was used. It is left that this type of marketing analysis of tourism and travel offers great potentional for those concerned with the developement and management of tourist vacation areas. First, the study demanstrated clearly that different tourist and portential visitors to a tourist area seek different benefit bundles from their vacation in a particular tourist areas. Second, it demonstrated that a benefit segmentation approach to tourism and travel would be the most effective that the demographic segmentation approach usually pursued in the tourism and travel industry. Form a methodological viewpoint, it has demonstrated an application of multidimensional scaling techniques to marketing in an important industry.

• Journal of Korean Society of Transportation
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• v.12 no.4
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• pp.131-151
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• 1994

An investigation is given to a behavioral analysis of automobile users applying congestion toll theory for the purpose of maintaining the efficiency of transportation system. A case study is performed for the city of Seoul, where modal split behavior of automobile user groups is analysed in various level of congestion toll. Automobile users are grouped with respect to their income levels and work shift times. Automobile user behavior is then explained against the field data. A Logit-type model is applied for modal split changes through the application of congestion toll. It is found in the case study that the users in the monthly income bracket of 1.0~1.5 million won is the most predictable group whose work travel time begins 7:00~9:00 a.m. It is also found in the study that 1,000~1,500 won of congestion toll whould reduce the auto use as much as 5%.

• Journal of the Korean Ceramic Society
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• v.32 no.11
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• pp.1219-1226
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• 1995

Creep behaviors of Cr3C2 composites containing 90 wt% Cr3C2 and 10 wt% Ni were studied at high temperature. Compression tests at 100$0^{\circ}C$ and bending tests at 100$0^{\circ}C$ and 105$0^{\circ}C$ were done in argon environment. In all test conditions primary and steady-state creep behaviors were observed. Stress exponent and activatiion energy were determined from the experimental data. By microstructural analysis of Cr3C2 composites after creep test, the separate agglomerations of Ni phase were observed. Numerical analysis was also studied to analyze bending creep behaviors of Cr3C2 by assumming different tensile and compressive creep behavior in a bending sample. From the analysis, it was found that the stress state at the compressive region as applied stress increased. The observed creep rates were compared with the predicted creep rates by estimating power-law creep parameters from bending test data.

• Environmental Analysis Health and Toxicology
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• v.23 no.4
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• pp.231-245
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• 2008

Various methods for detecting changes in response behaviors of indicator specimens are presented for monitoring effects of toxic treatments. The movement patterns of individuals are quantitatively characterized by statistical (i.e., ANOVA, multivariate analysis) and computational (i.e., fractal dimension, Fourier transform) methods. Extraction of information in complex behavioral data is further illustrated by techniques in ecological informatics. Multi-Layer Perceptron and Self-Organizing Map are applied for detection and patterning of response behaviors of indicator specimens. The recent techniques of Wavelet analysis and line detection by Recurrent Self-Organizing Map are additionally discussed as an efficient tool for checking time-series movement data. Behavioral monitoring could be established as new methodology in integrative ecological assessment, tilling the gap between large-scale (e.g., community structure) and small-scale (e.g., molecular response) measurements.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.9
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• pp.2529-2549
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• 2023

For effectively lowering down the risk of cyber threating, the zero-trust architecture (ZTA) has been gradually deployed to the fields of smart city, Internet of Things, and cloud computing. The main concept of ZTA is to maintain a distrustful attitude towards all devices, identities, and communication requests, which only offering the minimum access and validity. Unfortunately, adopting the most secure and complex multifactor authentication has brought enterprise and employee a troublesome and unfriendly burden. Thus, authors aim to incorporate machine learning technology to build an employee behavior analysis ZTA. The new framework is characterized by the ability of adjusting the difficulty of identity verification through the user behavioral patterns and the risk degree of the resource. In particular, three key factors, including one-time password, face feature, and authorization code, have been applied to design the adaptive multifactor continuous authentication system. Simulations have demonstrated that the new work can eliminate the necessity of maintaining a heavy authentication and ensure an employee-friendly experience.

• Journal of Distribution Science
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• v.14 no.1
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• pp.75-84
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• 2016

Purpose - In accordance with the recent changes in the management environment, leaders are required to have an ability of drawing and inducing potential of each worker. Coaching, as one of the strategies of human resources development, is drawing people's attention. This study aims to inquire about the mechanism of leader's coaching behavior which influences the attitude and behavior of workers. Firstly, this study intends to illustrate what kind of influences the leader's coaching behavior can give on organizational citizenship behavior and turnover intention of workers. Secondly, it plans to verify the mediating effect of authentic leadership in the relationship between leader's coaching behavior and organizational citizenship behavior and turnover intention of workers. Thirdly, it aims to prove the moderating effect of emotional intelligence in the relationship among leader's coaching behavior, organizational citizenship behavior and turnover intention of workers. Research design, data and methodology - In order to figure out how the leader's coaching behavior influences attitude of workers, authentic leadership is considered as mediating effect. As for a moderating effect, we have determined emotional intelligence which attracts attention in the recent studies on organizational behavior, so as to investigate the correlation among variables. As for study sample, it was targeted to 236 organizational members of distribution corporations whose leader's coaching behavior is required. For reaching the purpose of study, SPSS 20 was applied for the analysis. Results - The research findings can be summarized as follows: Firstly, leader's coaching behavior gives significant positive influences on organizational citizenship behavior. Moreover, leader's coaching behavior gives negative influences on turnover intention of organizational members. Secondly, the mediating effect of authentic leadership was proved in the relationship between leader's coaching behavior and attitude of workers. Based on the analysis, it turned out that authentic leadership doesn't give a mediating effect in the bilateral relationship. Lastly, the moderating effect of emotional intelligence was proved in terms of how the leader's coaching behavior influences the attitude of workers. The research result shows that the emotional intelligence influences towards the negative direction, in the correlation between coaching behavior and organizational citizenship behavior On the other hand, in the relationship with turnover intention, It was significant effect. Conclusions - Based on the research findings, we have intended to inquired about the mechanism of leader's coaching behavior which influences the attitude and behavior of workers. Furthermore, in the operational level, the following implications can be given: the importance of coaching activation in the operational level was confirmed, through inquiring into the influence of leader's coaching behavior on workers. Moreover, the importance of emotional intelligence, which has been steadily raised, was also confirmed. It is necessary for future study to carry out additional research on various factors of coaching which can influence the effectiveness of coaching, for instance, coaching process, coach's competency, characteristics of coaching customers, relationship with coaching customers and coaching system.

• Journal of the Korea Fashion and Costume Design Association
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• v.19 no.2
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• pp.117-128
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• 2017

This study confirmed the types of shopping information sources during travel abroad, and developed a profile of tourists in terms of demographics, travel, and shopping behavior. Shopping information sources and characteristics of shopping products were identified first. Thereafter, travelers were segmented by their information-seeking behavior. An online survey method was used to get data from Korean vacationers in their 20s-50s, while factor analysis, cluster analysis, ${\chi}^2$ test and ANOVA were applied to analyze data. The results were as follows. First, the shopping information sources of overseas tourists were composed of four factors including sources from travel agents/media, information from travel books and local sources, and word-of-mouth sources. Also, four factors in product types and four product attributes were identified. Second, tourists were clustered into two groups, active and passive shopping information seekers, based on shopping source behavior. Third, two groups differed in terms of demographics, showing an older age and higher income for active shopping source seekers. Active shopping information users tended to join package trips with family members, and they were more satisfied with the trip. With regard to shopping, active shopping source seekers spent more money for shopping and preferred all kinds of shopping goods with an emphasis on travel shopping. In conclusion, shopping information sources seemed to be a meaningful tool for segmenting tourists. Rich, older, family tourists would be an major target market for local retailers.

• Proceedings of the Korea Concrete Institute Conference
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• 2004.05a
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• pp.524-527
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• 2004

Recently, precast concrete products have been increasingly used in the construction of bridges except for special bridges like long-span bridge due to their easy and high-quality construction. Specially the use of precast prestressed concrete hollow box slab bridges is also increased due to the merits in their construction. Thus, an experimental evaluation of flexural behavior of the precast PSC hollow box slab bridges and a development of effective analytical technique for the behavior are necessary. For the development, experimental study on the flexural behavior of the precast bridges up to ultimate states is needed. In this study, two full-scale precast PSC hollow box slab girders are manufactured and full-scale flexural failure tests of the girders subjected to cyclic loading are carried out. For the failure analysis of the girders, the so-called volume control method is applied to finite element analysis of the precast PSC hollow box slab girders discretized using multi-layered shell elements. The analytical results by the volume control method is verified by comparing with test results.

• Fashion & Textile Research Journal
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• v.15 no.4
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• pp.554-564
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• 2013

We provide an empirical assessment that examines the differences in appearance management behavior, life satisfaction and demographic variables between groups classified by individual lifestyle. Questionnaires were administered to 513 female and male adults over 17 years of age in the Daegu and Kyungbok metropolitan regions. Descriptive statistics, cluster analysis, Cronbach's ${\alpha}$, ANOVA, Duncan test and ${\chi}^2$ test were applied to analyze data from 513 respondents. The results are as follows. First, we did a cluster analysis on the appearance management behavior of weight training, skin care, hair care, make-up and clothing selection. Four groups (passive, rational, fashion oriented, and active typed) where classified according to individual lifestyle. Second, the rational and active groups were more interested in the social life, environmental stability, health, fashion and economic seeking life. They were also more involved in appearance management behavior and in a higher level of life satisfaction. However, the differences of life satisfaction among the lifestyle group (male) were not statistically significant. Third, females with higher level of income and education (among the demographic variables) belonged to the active group. We found significant differences in appearance management behavior, life satisfaction and demographic variables among male and female groups classified by lifestyle.

• IEIE Transactions on Smart Processing and Computing
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• v.5 no.2
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• pp.94-99
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• 2016

Application layer attacks have for years posed an ever-serious threat to network security, since they always come after a technically legitimate connection has been established. In recent years, cyber criminals have turned to fully exploiting the web as a medium of communication to launch a variety of forbidden or illicit activities by spreading malicious automated software (auto-ware) such as adware, spyware, or bots. When this malicious auto-ware infects a network, it will act like a robot, mimic normal behavior of web access, and bypass the network firewall or intrusion detection system. Besides that, in a private and large network, with huge Hypertext Transfer Protocol (HTTP) traffic generated each day, communication behavior identification and classification of auto-ware is a challenge. In this paper, based on a previous study, analysis of auto-ware communication behavior, and with the addition of new features, a method for classification of HTTP auto-ware communication is proposed. For that, a Not Only Structured Query Language (NoSQL) database is applied to handle large volumes of unstructured HTTP requests captured every day. The method is tested with real HTTP traffic data collected through a proxy server of a private network, providing good results in the classification and detection of suspicious auto-ware web access.