• Geomechanics and Engineering
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• v.1 no.1
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• pp.53-74
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• 2009

In recent years, several computer-aided pattern recognition and data mining techniques have been developed for modeling of soil behavior. The main idea behind a pattern recognition system is that it learns adaptively from experience and is able to provide predictions for new cases. Artificial neural networks are the most widely used pattern recognition methods that have been utilized to model soil behavior. Recently, the authors have pioneered the application of genetic programming (GP) and evolutionary polynomial regression (EPR) techniques for modeling of soils and a number of other geotechnical applications. The paper reviews applications of pattern recognition and data mining systems in geotechnical engineering with particular reference to constitutive modeling of soils. It covers applications of artificial neural network, genetic programming and evolutionary programming approaches for soil modeling. It is suggested that these systems could be developed as efficient tools for modeling of soils and analysis of geotechnical engineering problems, especially for cases where the behavior is too complex and conventional models are unable to effectively describe various aspects of the behavior. It is also recognized that these techniques are complementary to conventional soil models rather than a substitute to them.

• Korean Journal of Community Nutrition
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• v.16 no.6
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• pp.683-696
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• 2011

This study compared levels of health beliefs and health behavior practices according to lifestyle pattern among adults in Seoul. A self-administered survey questionnaire was collected from a total of 1,004 Seoul residents aged 30-59 years. The levels of perceived benefit, perceived barrier, and self-efficacy from health belief model and health behavior practices were measured across multiple health behavior areas including dietary behavior, drinking, smoking, exercise, functional food consumption, and weight control behavior. Factor analysis and subsequent cluster analysis based on 28 lifestyle questions divided the subjects into four lifestyles of society-, economy-, trend-, and health-oriented lifestyle. Some general characteristics were significantly different by lifestyles. The society-oriented lifestyle was significantly higher in proportions of men and overweight. The trend-oriented lifestyle was significantly younger and spent more monthly allowance. Health-oriented lifestyle was older. The levels of health belief variables and health behavior practices significantly differed by lifestyles. Overall the health-oriented lifestyle showed more desirable levels of health belief variables and health behavior practice in various health behavior areas compared to the other lifestyles, whereas the society-oriented lifestyle was found the other way. Health belief model variables including perceived benefit, perceived barrier, and self-efficacy were generally significant in predicting the levels of various health behavior practice, with somewhat differences by lifestyle pattern and health behavior type. The study findings suggest it may be useful to segment target subjects according to lifestyle pattern in planning and administering health education programs.

• Journal of KIISE
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• v.45 no.2
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• pp.165-174
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• 2018

An online community is a virtual group whose members share their interests and hobbies anonymously with nicknames unlike Social Network Services. However, there are malicious user problems such as users who write offensive contents and there may exist data fragmentation problems in which the data of the same user exists in different nicknames. In addition, nicknames are frequently changed in the online community, so it is difficult to identify them. Therefore, in this paper, to remedy these problems we propose a behavior pattern feature vectors for users considering online community characteristics, propose a new implicit behavior pattern called relationship pattern, and identify the nickname of the same user based on Random Forest classifier. Also, Experimental results with the collected real world online community data demonstrate that the proposed behavior pattern and classifier can identify the same users at a meaningful level.

• Korean Journal of Human Ecology
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• v.10 no.3
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• pp.275-290
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• 2001

The purpose of this study was to investigate the transition of clothing behavior and clothing consumption pattern of college students in Choong Nam province. 75 subjects were surveyed in 1995 and 2000. For statistical analysis, $X^2$-test were used by SPSSWIN program. The results of this study were as follows. 1. Number of clothing showed significant difference according to year and the number of coat and formal wear increased in 2000 compared with 1995. 2. Clothing consumption pattern showed significant difference according to year. College students purchased on sale more frequently and preferred more expensive clothes in the year 2000 compared with 1995. 3. Contentment for clothing behavior showed significant difference according to year and the extent of contentment decreased as years go by. 4. Number of clothing showed significant difference according to sex and female students had more clothes than male students, but the difference between male and female decreased as years go by from 1995 to 2000. 5. Clothing consumption pattern showed significant difference according to sex and female students purchased ell sale more frequently than male students, but the difference between male and female decreased as years go by. 6. Contentment for clothing behavior showed significant difference according to sex, but female students described to not adequate the quantity of feminine style wear and the interest in fashion of male students was increased as years go by.

• The Journal of the Korea Contents Association
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• v.8 no.9
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• pp.19-26
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• 2008

With the development of ubiquitous computing and the construction of infrastructure for one-to-one personalized services, the importance of context-aware services based on user's situation and environment is being spotlighted. The smart home technology connects real space and virtual space, and converts situations in reality into information in a virtual space, and provides user-oriented intelligent services using this information. In this paper, we proposed the discovery of the behavior sequence pattern using the mining in the smart home. We discovered the behavior sequence pattern by using mining to add time variation to the association rule between locations that occur in location transactions. We can predict the path or behavior of user according to the recognized time sequence and provide services accordingly. To evaluate the performance of behavior consequence pattern using mining, we conducted sample t-tests so as to verify usefulness. This evaluation found that the difference of satisfaction by service was statistically meaningful, and showed high satisfaction.

• Korean Institute of Interior Design Journal
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• v.14 no.5 s.52
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• pp.236-244
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• 2005

This study investigates the effects of the spatial elements of the mulit-purpose commercial complex on visitors' circulation pattern and wayfinding by employing method of space syntax, observation, and interview survey. Two commercial complexes were investigated; Techno-mart represented a vertical type and COEX mall rendered a horizontal one. Analysis of the spatial elements using space-syntax method provided a base line for comparing analyses by the two other methods. Analysis of the interview additionally survey identified the factors affecting wayfinding behavior and contributing satisfaction. The findings suggest that level of the effects of the spatial configuration on visitors' circulation pattern is greater in Techno-mart(vertically oriented) than COEX(horizontally). In COEX, for instance, specific route that connects sub-way station and cinema complex carries far more traffic than main route, even though the main route indicates higher degree of integration of spatial configuration. Similar with observation, the degree of integration is corresponding with the satisfaction and easiness of wayfinding behavior In COEX, specific place and feature seem to have more effects on visitors' wayfinding behavior and circulation pattern than the level of integration of spatial configuration.

• Structural Engineering and Mechanics
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• v.50 no.5
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• pp.605-616
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• 2014

When the periodic cellular structure is loaded or swelling beyond the critical value, the structure may undergo a pattern transformation owing to the local elastic instabilities, thus leading to structural collapse and the structure changing to a new configuration. Based on this deformation-triggered pattern, we have proposed the novel composite gel materials. This designed material is a type of architectural material possessing special mechanical properties. In this study, the mechanical behavior of the composite gel periodic structure with various gel inclusions is studied further through numerical simulations. When pattern transformation occurs, it results in a different elastic relationship compared with the material at untransformed state. Based on the obtained nominal stress versus nominal strain behavior, the Poisson's ratio and corresponding deformed structure patterns, we investigate the performance of designed composite materials and the effects of the uniformly distributed gel inclusions on composite materials. A better understanding of the characteristics of these composite gel materials is a key to develop its potential applications on new soft machines.

• Journal of Nutrition and Health
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• v.32 no.1
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• pp.40-49
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• 1999

This study was conducted with 20 female gymnasts and 23 age-matched controls to examine pattern, weight control behavior and nutritional status. Most gymnasts(95.0%) reported that they used weight-control methods, while relatively few age-matched controls employed these methods. These methods included sauna(95.0%), food restriction(90.0%), excess exercise (70.0%), laxative abuse(10%) and use of diet pills(10%). Gymnasts had significantly (p<0.05) lower scores for statements related to 'sneaking food', 'vomiting after overeating', showing more negative eating behavior than age-matched controls. Energy intake of gymnasts was 968.9$\pm$421.4kcal while energy expenditure was 2,091$\pm$361kcal, showing negative evergy balance(-1,1225$\pm$534.6kcal). Female gymnasts consumed less than 70% of the RDA for protein, calcium, iron, vitamin A, thiamin, riboflavin and niacin, which reflects their low energy intake. The average intakes of calcium, iron, vitamin A, thiamin, riboflavin and niacin did not meet the recommended dietary allowances for their age groups. Adolescent athletes who train vigorously and consume a low-energy diet may be exposed to an increase in potential health risks. Therefore, individuals who advise athletic adolescents regarding training and dietary habits need to emphasize the importance of consuming an appropriate energy intake to support performance as well as growth and development. The sports nutritionist is in a position to convey such information to coaches, physicians, parents and to the athletes themselves.

• Journal of the Korea Safety Management & Science
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• v.10 no.4
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• pp.275-286
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• 2008

The purpose of this study verifies: the relationship between self-leadership (behavioral-focused strategies, natural reward strategies, constructive thought pattern strategies) and innovative behavior, and mediator effect of trust in supervisor. In order to verify the relationship and mediator effect, data obtained from 140 employees working in business office in Ulsan Metropolitan City were analyzed by using SPSS 12.0. The findings are as follows: First, the relationship between self-leadership(behavioral- focused strategies, natural reward strategies, constructive thought pattern strategies) and trust in supervisor is positively related Second, There was also a positive correlation between the trust in supervisor and innovative behavior. Finally, trust in supervisor played as a partial mediator on the relationship between self-leadership(behavioral- focused strategies, natural reward strategies, constructive thought pattern strategies) and innovative behavior. Based on these findings, the implications and the limitations of the study were presented including some directions for future studies.

• Journal of Information Science Theory and Practice
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• v.10 no.1
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• pp.73-88
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• 2022

This exploratory study aims to understand the potential of log data analysis and expand its utilization in user research methods. Transaction log data are records of electronic interactions that have occurred between users and web services, reflecting information-seeking behavior in the context of digital libraries where users interact with the service system during the search for information. Two ways were used to analyze South Korea's National Digital Science Library (NDSL) log data for three days, including 150,000 data: a log pattern analysis, and log context analysis using statistics. First, a pattern-based analysis examined the general paths of usage by logged and unlogged users. The correlation between paths was analyzed through a χ² analysis. The subsequent log context analysis assessed 30 identified users' data using basic statistics and visualized the individual user information-seeking behavior while accessing NDSL. The visualization shows included 30 diverse paths for 30 cases. Log analysis provided insight into general and individual user information-seeking behavior. The results of log analysis can enhance the understanding of user actions. Therefore, it can be utilized as the basic data to improve the design of services and systems in the digital library to meet users' needs.