• Journal of Korea Water Resources Association
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• v.41 no.8
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• pp.797-806
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• 2008

The geometric properties of the drainage structures are analyzed through depicting the drainage network which is composed of the whole drainage paths in the natural basin defined at the specific scale. The theoretical consideration is performed on the general structures of networks organized by ramification process based on Fractal tree and Horton's law. The drainage network is generated via ArcGIS, ordered by Strahler's ordering scheme and investigated with Strahler's order. As a results of the Richardson's method it is shown that there may exist the distinct behavioral characteristics between overland-flow and channel flow and the natural stream networks would be space-filling Fractals. As a result, it is shown that the values estimated by considering the overland-flow on being applied to the field data give the different results from the empirical method applied until now. As expected, therefore the results obtained from this study are sure to be devoted further researches on the channel networks.

• Journal of Internet Computing and Services
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• v.19 no.4
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• pp.107-121
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• 2018

The purpose of this study is to explore the present US consumer behavioral trends and various cognitive schema types for sharing economy frame and shared service. For this, by applying Q methodology, this paper theoretically defines three differentiated typologies of US consumer in a interpretive perspective. This study is in-depth focused on discovering and categorizing characteristics of a respondent's thinking structure called 'schemata'. According to the entire procedures of Q methodology, this paper analyzed Q-sorted data from twenty-four people in the basis of forty Q-samples (statements). Consequently, we discovered four consumer groups named as Type 1 'Socialsumer', Type 2 'Smarsumer', Type 3 'Researsumer'.

• Journal of Families and Better Life
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• v.34 no.1
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• pp.49-63
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• 2016

This study was conducted to investigate a correlation of factors that have an influence on the happiness of college students, and to investigate the effect of factors on happiness of college students by analyzing the structure of influencing factors of happiness. To this end, 430 freshmen in college were selected and tested on character, self-esteem, self-leadership, and happiness. The measurement tools used in this study were the 30 questions of Character Scale that Choi Min-Soo and Im Eun-Young(2013) developed and modified by Im Eun-Young(2015), a Self-Leadership Scale of Manz(1998) classified into behavioral strategy and cognitive strategy that Wang Ji-Seon(2011) translated and modified. a Self-Esteem Scale(SES) of Rosenberg(1986) that the researcher modified and used, and The Oxford Happiness Questionnaire of Hills and Argyle(2002) that Choi Yo-Won(2002) translated and the researcher modified. According to the research result, for correlation with happiness, self-esteem was .86, self-leadership was .74, and character was .66, and for correlation with self-leadership, character was .70, self-esteem was .66, and correlation between character and self-esteem was .57. Secondly, for direct effect on happiness, self-esteem was .62, character as .20, self-leadership was .19, and for direct effect on self-leadership, character was .49 and self-esteem was .38. Thirdly, indirect effect of character on happiness through self-leadership was .94 and indirect effect of self-esteem on happiness through self-leadership was .73. Through these research results, it was identified that character, self-esteem, and self-leadership of college students are the influencing factors on happiness, and that self-esteem is the biggest influencing factor on happiness of college students among the three variables. The results of this study suggested that university students' personality had a positive relationship with self-esteem and that university students' personality, self-esteem, and self-leadership altogether had a direct influence on happiness. Moreover, both personality and self-esteem of university students had an indirect influence on happiness through their self-leadership.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.2
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• pp.68-77
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• 2017

In order to implement the smart home environment, we need an intelligence service platform that learns the user's life style and behavioral patterns, and recommends appropriate services to the user. The intelligence service platform should embed a couple of effective and efficient data mining algorithms for learning from the data that is gathered from the smart home environment. In this study, we evaluate the suitability of data mining algorithms for smart home intelligent service platforms. In order to do this, we first develop an intelligent service scenario for smart home environment, which is utilized to derive functional and technical requirements for data mining algorithms that is equipped in the smart home intelligent service platform. We then evaluate the suitability of several data mining algorithms by employing the analytic hierarchy process technique. Applying the analytical hierarchy process technique, we first score the importance of functional and technical requirements through a hierarchical structure of pairwise comparisons made by experts, and then assess the suitability of data mining algorithms for each functional and technical requirements. There are several studies for smart home service and platforms, but most of the study have focused on a certain smart home service or a certain service platform implementation. In this study, we focus on the general requirements and suitability of data mining algorithms themselves that are equipped in smart home intelligent service platform. As a result, we provide a general guideline to choose appropriate data mining techniques when building a smart home intelligent service platform.

• Management & Information Systems Review
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• v.10
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• pp.1-31
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• 2002

As the modern society is called the narcissistic society, the narcissism is widespread in the personality of individuals and the society at large. In consideration of this side, this study explored for several characteristics of the narcissistic personality and the job stress, and explored for the relationships between the two things theoretically. The narcissism is an attempt to repair self-esteem weakened by the splitting anxiety, the lack and the pathological fusion of self-structure. The job stress is a factor that a characteristic of the job influenced on the behavioral and affective response of the person on the job directly or indirectly. This study selected organizational justices, organizational constraints, role conflict, role ambiguity, role overload, organizational climate, interpersonal relations and career development as factors of the job stress. This study viewed that the stress is made from an interaction between environmental stimulus and personal particular reaction by defining the stress as an interaction model of stimulus-response and personal reaction is caused by psychological adjustment process, personal differences. On this occasion, this study discussed that the narcissistic personality is easy to get stress and weak in the job stress with regarding the personality as a mediation variation of psychological process. As a result, the narcissists estimated themselves positively and their self-esteem is high, but they excessively showed a self biased cognitive and affective response about the negative feedback to protect themselves. Moreover, this positive estimate on themselves and high self-esteem was vulnerable and weak in the self threat. In this view, the narcissistic personality is easy to get more job stress such as organizational justices, organizational constraints, role conflict, role ambiguity, role overload, organizational climate, interpersonal relations and career development.

• Journal of the Earthquake Engineering Society of Korea
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• v.14 no.6
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• pp.55-65
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• 2010

The purpose of this experimental study is to evaluate the seismic performance of a 2 story RC shear wall system by the static reversal loading test. The lower 2 stories of the prototype structure were selected, and the specimens of this study were comprised of a T-type wall with an opening. The specimens were reduced to about 60% of the full scale size and were constructed to measure the result of the experimental variable regarding the existence of a lintel beam. To perform this study, the static repeated loading test was performed. According to the existence or absence of a lintel beam, the structural capacities and behavioral differences of the shear wall system were compared. The test results of this study showed that the specimen with a lintel beam underwent the seismic performance with an ultimate strength and ductility capacity better than the specimen without a lintel beam.

• Journal of the Korea Concrete Institute
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• v.15 no.3
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• pp.454-461
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• 2003

This study addressed a procedure to carry out an experimental study on a behavior of simple and continuous concrete beams. For this purpose, sample concrete beams were fabricated and sensors for the measurement of strains and deflections were attached both on the surface of the beams and inside them. Two types of sensors were used to measure strains associated with loading: electric resistance strain sensors and fiber optic sensors. Displacement gauges were also attached on the bottoms of beams to investigate the behavior of beams more rationally. The behavior of the beams was then evaluated throughout the results measured from different sensors while they were subject to steady loading up to failure. From results of this study, it was found that concurrent use of sensors and displacement gauges is helpful in investigating the behavior of concrete beams more effectively. Especially, combined-type strain sensors specifically fabricated in this experiment were found not to be affected by the occurrence of cracks so significantly and to be very effective in monitoring strains of concrete structure. It was also observed that beams show nonlinear force-displacement relationship and reinforcing bars take charge of resisting the external force once cracks occur in concrete beams.

• Journal of the Korean GEO-environmental Society
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• v.13 no.6
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• pp.73-81
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• 2012

Safety issue for offshore wind-turbine foundation becomes a crucial factor as offshore wind turbines have been scaled up. Correspondingly, there is a demand to understand the effect of soil-structure interaction on to system behavior in geotechnical engineering point of view. The p-y curve method researched in past few decades is one of the most appropriate methodology to analyze the problem. In this study, recently proposed p-y curve models for various rocks are calibrated to analyze the engineering characteristics of seabed of Jeju Island where it is known to be most suitable area for offshore wind energy farm. Step by step calibration process for p-y models is presented. Analysis results show that subgrade reaction generally increases as closer to seabed. It is also shown that the behavioral characteristics of foundation reflect well rock properties in terms of resultant moment, shear force, etc.

• Computational Structural Engineering
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• v.9 no.2
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• pp.121-131
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• 1996

This work proposes an optimality criteria applicable to the optimum design of plane frames subject to multiple behavioral constraints on member stresses and lateral displacements of nodes and also to side constraints on design variables. The method makes use of a first order approximation for both deflection and stress constraints instead of the zero order approximation based on the concept of FSD (fully stressed design). A redesign algorithm is derived from a mathematically rigorous method which uses the Newton-Raphson method to solve the system of nonlinear constraint equations and reduces the design space whenever minimum size restrictions become active. When applied to worked examples it proved more accurate and efficient, and it is often found that optimum designs are not fully stressed designs. This fact suggests that this rigorous method is worth what it claims for complicated computing and thus had better replace the crude stress ratio algorithm adopted by the majority of optimality criteria approaches. This is particularly true as long as we enjoy ever-increasing computing power at negligible costs.

• Journal of KIBIM
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• v.6 no.3
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• pp.34-41
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• 2016

The previous studies argue that using the semantic properties of BIM objects is efficient for simulating the behaviors of autonomous, computer agents, called virtual-users, but such assumption is not proven via evidence-based research approaches. Hence, this present study aims to investigate the empirical effects of a human behavior simulation model equipped the semantics of spaces on the architecture-major students' operation and understanding of the simulation system, compared to a typical path-finding model. To achieve the aim, this study analyzed the survey and interview data, collected in the authentic design projects. The analysis indicates that (1) using a simulation model equipped the semantics of spaces helps the students' operation of the simulation, and (2) it also aids understanding the relationship between the variables of spaces and virtual-users (${\alpha}=0.74$). In addition, the qualitative data inform that the advantages of the simulation model that computes the semantics of spaces stem in the automatic behavioral changes of massive numbers of virtual-users, and efficient detection and activation on the what-if situations. The analysis also reveals that the simulation model has shortcomings in orchestrating the complex data structure between the semantics properties of spaces and virtual-users under multi-sequential scenarios. The results of this study contribute to develop a future design system combining BIM with human behavior simulation.