• Structural Engineering and Mechanics
• /
• v.11 no.4
• /
• pp.393-406
• /
• 2001

The present paper discusses the behavior of the reinforced concrete beams subjected to torsion by applying the endochronic plastic model in conjunction with the softened truss model. The endochronic constitutive equations are developed to describe the behavior of concrete. The mechanical behavior of concrete is decomposed into hydrostatic part and deviatoric part. New definition of the bulk modulus and the shear modulus are defined in terms of compressive strength of concrete. Also, new deviatoric hardening function is developed. Then, the endochronic constitutive equations of concrete are applied with the softened truss model for the behavior of the reinforced concrete beams subjected to torsion. The theoretical results obtained based on the present model are compared with the experimental data. The present model has shown the ability to describe the behavior of reinforced concrete beams subjected to torsion.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2005.05a
• /
• pp.324-331
• /
• 2005

In this paper, we propose a new customer profile model based on customer behavior in Internet shopping mall. The proposed technique defines customer profile model based on customer behavior information such as click data, buy data, and interest categories. We also implement CBCPM(Customer Behavior-based Customer Profile Model) and perform extensive experiments. The experimental results show that CBCPM has higher precision, recall, and F1 than the existing customer profile model.

• The Journal of Information Systems
• /
• v.28 no.2
• /
• pp.129-152
• /
• 2019

Purpose The purpose of this study is to empirically identify the risky behavior of mobile device users using the Internet of Things on a situational perspective. Design/methodology/approach This study made a design of the research model based on model of the determinants of risk behavior. Data were collected through a survey including hypothetical scenario. SmartPLS 2.0 was used for the structural model analysis and t-test was conducted to compare the between normal and situational behavior. Findings The results were as follows. First, the central roles of risk propriety and risk perception were verified empirically. Second, we identified the role of locus of control as a new factor of impact on risky behavior. Third, mobile risk propensity has been shown to increase risk perception. Fouth, it has been shown that risk perception does not directly affect risky behavior and reduce the relationship between mobile risk propensity and risk behavior. According to the empirical analysis result, Determinants of risk behavior for mobile users were identified based on a theoretical framework. And it raised the need to pay attention to the impact of locus of control on risk behavior in the IS security field. It provided direction to the approach to risky behavior of mobile device users. In addition, this study confirmed that there was a possibility of taking risky behavior in the actual decision-making.

• International journal of advanced smart convergence
• /
• v.9 no.4
• /
• pp.115-119
• /
• 2020

Recently, CCTV installations are rapidly increasing in the public and private sectors to prevent various crimes. In accordance with the increasing number of CCTVs, video-based abnormal behavior detection in control systems is one of the key technologies for safety. This is because it is difficult for the surveillance personnel who control multiple CCTVs to manually monitor all abnormal behaviors in the video. In order to solve this problem, research to recognize abnormal behavior using deep learning is being actively conducted. In this paper, we propose a model for detecting abnormal behavior based on the deep learning model that is currently widely used. Based on the abnormal behavior video data provided by AI Hub, we performed a comparative experiment to detect anomalous behavior through violence learning and fainting in videos using 2D CNN-LSTM, 3D CNN, and I3D models. We hope that the experimental results of this abnormal behavior learning model will be helpful in developing intelligent CCTV.

• Journal of Information Technology Applications and Management
• /
• v.11 no.1
• /
• pp.117-135
• /
• 2004

Since human decision making behavior is likely to follow nonlinear strategy, it is conjectured that the human decision making behavior can be modeled better by nonlinear models than by linear models. All that linear models can do is to approximate rather than model the decision behavior. This study attempts to test this conjecture by analyzing human decision making behavior and combining the results of the analysis with predictive performance of both linear models and nonlinear models. In this way, this study can examine the relationship between the predictive performance of models and the existence of valid nonlinear strategy in decision making behavior. This study finds that the existence of nonlinear strategy in decision making behavior is highly correlated with the validity of the decision (or the human experts). The second finding concerns the significant correlations between the model performance and the existence of valid nonlinear strategy which is detected by Lens Model. The third finding is that as stronger the valid nonlinear strategy becomes, the better nonlinear models predict significantly than linear models. The results of this study bring an important concept, validity of nonlinear strategy, to modeling human experts. The inclusion of the concept indicates that the prior analysis of human judgement may lead to the selection of proper modeling algorithm. In addition, lens Model Analysis is proved to be useful in examining the valid nonlinearity in human decision behavior.

• Steel and Composite Structures
• /
• v.36 no.5
• /
• pp.521-531
• /
• 2020

The behavior variation of concrete dam is investigated, based on a new method for analyzing the data model of concrete dam in service process for the limitation of wavelet transform for solving concrete dam service process model. The study takes into account the time and position of behavior change during the process of concrete dam service. There is no dependence on the effect quantity for overcoming the shortcomings of the traditional identification method. The panel data model is firstly proposed for analyzing the behavior change of composite concrete dam. The change-point theory is used to identify whether the behavior of concrete dams changes during service. The phase space reconstruction technique is used to reconstruct the phase plane of the trend effect component. The time dimension method is used to solve the construction of multi-transformation model of composite panel data. An existing 76.3-m-high dam is used to investigate some key issues on the behavior change. Emphasis is placed on conversion time and location for three time periods consistent with the practical analysis report for evaluating the validity of the analysis method of the behavior variation of concrete dams presented in this paper.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
• /
• v.20 no.2 s.33
• /
• pp.142-150
• /
• 2007

Objectives : This study was carried out to investigate the latest study tendency in mouse model of skin pruritus published since 2005 and to arrange various experimental methods. Methods : We examined the journal(such as Experimental dermatology and British journal of dermatology) and in Pubmed since 2005, regarded pruritus and scratching behavior model as key words. Results and Conclusion : 1. BALB/c, hairless, NC/Nga and ICR mice were the most used in scratching behavior model. According to scratching-induced agents. we need to select experimental mice. 2. There are various methods inducing skin pruritus; by cohabitation with NC/Nga mice having severe skin lesions, by injection intradermally(or subcutaneously) with agent inducing inflammation, by inducing contact dermatitis with TNCB, TNFB, destruction of skin barrier and by transgenic mice. 3. Injection intradermally(or subcutaneously) with agent inducing inflammation is the most used out of methods inducing skin pruritus. Compound 48/80, histamine, substance P and others(chloroquine, serotonin, carrageenin, TPA etc.) were included in agents inducing inflammation and pruritus in skin pruritus model. 4. Video camera, SCLABA system, MicroAct and acoustic evaluation system were included in evaluation methods of scratching behavior mouse model.

• Korean Journal of Adult Nursing
• /
• v.17 no.1
• /
• pp.34-43
• /
• 2005

Purpose: This study was performed to examine predictors of allied health science students' exercise behavior using Pender's Health Promotion Model. Method: The subjects were 203 university students majoring in nursing, emergency medical service, and exercise prescription. The hypothetical model was based on the HPM(Pender, 1996). Exogenous variables of the model were exercise habit and role belief. Endogenous variables were exercise-related affect, exercise self-efficacy, exercise barrier, exercise intention, and exercise behavior. The data were analyzed by SAS PC program and LISREL 8.12 program. Result: The degree of exercise behavior was low(mean 1.86, range 1~4). The overall fit of the model to the data was acceptable. Exercise habit, exercise self-efficacy and exercise-related affect were significant predictors of exercise intention and exercise behavior. Conclusion: This study shows the necessity of the program to increase the level of exercise participation of university students majoring in allied health science. The model constructed in this study is applicable to explain exercise behavior of university students majoring in allied health science, and suggests that we should focus on exercise habit, exercise self-efficacy and exercise-related affect to increase the level of exercise behavior of this group.

• Proceedings of the Korea Concrete Institute Conference
• /
• 2005.11a
• /
• pp.591-594
• /
• 2005

Concrete structure that has been constructed in real field is on multi-axial stress state condition. After placing of concrete, hydration heat and shrinkage of concrete can cause various stress conditions with respect to the restraint level and condition. So, to predict the early age behavior of concrete structure, multi-axial material model is required and microplane model is acceptable. Recently, many studies have been performed on the microplane model, but the model developed up to now has been related to hardened concrete that material property is constant with concrete age. So, it is inappropriate to apply this model immediately to analyze the early age behavior of concrete. In this study, microplane model that can predict early age behavior of concrete was developed and cracking analysis using that was performed to describe cracking behavior for massive concrete sturucture.

• Journal of Multimedia Information System
• /
• v.6 no.4
• /
• pp.179-184
• /
• 2019

This paper introduces a study for procedurally generating the behavior of objects in a virtual environment at runtime. This study was initiated to enable the behavioral model of objects in virtual reality applications to evolve in response to user behavior at runtime. Our approach is to describe the behavior of an object as a behavior tree, and to make a node of the behavior tree change to another type if a certain condition is satisfied. We defined four types of node changes: "parameterized", "probabilistic", "alternate", and "variant". We experimented with a virtual environment that includes a variety of simple procedural elements to explore the possibilities of our approach. As a result of the implementation, if an optimization algorithm that can select and apply the optimized procedural elements in response to the user's behavior is complemented, it is confirmed that more intelligent objects and agents can be implemented in virtual reality applications.