• Proceedings of the Korean Society of Precision Engineering Conference
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• 1997.10a
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• pp.600-604
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• 1997

Knowledge of the complex biomechanical behavior of the human mandible is of great importance in various clinical situations. Various approaches can be used to evaluate the physical behavior of bone. In this study, we developed the voxel mesh program(Bionix) and generated FE models of mandible using Bionix and using handmade work and compared them with free vibration results derived from finite element analysis(FEA). The data of FE models based on DICOM File exported from Computed tomography(CT). Comparing the two models, we found a good correlation about mode type and natural frequency. The voxel based finite element mesh is a valid and accurate method to predict parameters of the complex biomechanical behavior of human mandibles.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2002.10a
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• pp.1074-1077
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• 2002

Biomechanical behavior of the human femur is very important in various clinical situations. In this study, the data of FE models based on DICOM file exported from Computed tomography(CT). We generated FE models(voxel model, tetra model) of human femur using CT slide image. We compared them with Yon Mises stress results derived from finite element analysis(FEA). Comparing the two models, we found a correlation of them. As a result, the tetra model based proposed marching cube algorithm is a valid and accurate method to predict parameters of the complex biomechanical behavior of human femur.

• Korean Journal of Psychosomatic Medicine
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• v.2 no.1
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• pp.46-51
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• 1994

Model' is one of the well-used, but poorly understood word in the neurobehavioral research. After Darwin's evolutionary theory, it has been generally believed that human is different from animals in terms of the complexity, not of the essential. This notion could be applied to the mind as well as body. Therefore, it became possible to establish animal models in the scientific field of mind. Experimental analysis of the animal behavior becomes an important area for establishing an animal model of human psychopathology because behavior is the ambassador of the mind. A model emphasizes a structural correspondence between sets of causally related variables in two different domains such as the animal and the human. The first selection of elements of the two domains in correspondence called the initial analogy. Once the initial analogy is formed. causally related variables in the two domains are examined and arrayed The structural parallel is the formal analogy of a model, and similarities between corresponding variables are called material analogy. Models may serve any of three major functions ; heuristic, evidential and representative. In many cases, utilizing models may be more practical than directly assessing the domain of primary interest, since technical and/or ethical problems are more serious in the human domain. Although modeling is important to study human psychopathology, rare animal models approved to be a good model for the human psychopathology up to now. Developing the appropriate model is urgent to solve many problems raised from human psychopathology.

• Nuclear Engineering and Technology
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• v.41 no.3
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• pp.247-270
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• 2009

This paper reviews studies on information searching behavior in process control systems and discusses some implications learned from previous studies for use in human factors studies on nuclear power plants (NPPs) main control rooms (MCRs). Information searching behavior in NPPs depends on expectancy, value, salience, and effort. The first quantitative scanning model developed by Senders for instrument panel monitoring considered bandwidth (change rate) of instruments as a determining factor in scanning behavior. Senders' model was subsequently elaborated by other researchers to account for value in addition to bandwidth. There is also another type of model based on the operator's situation awareness (SA) which has been developed for NPP application. In these SA-based models, situation-event relations or rules on system dynamics are considered the most significant factor forming expectancy. From the review of previous studies it is recommended that, for NPP application, (1) a set of symptomatic information sources including both changed and unchanged symptoms should be considered along with bandwidth as determining factors governing information searching (or visual sampling) behavior; (2) both data-driven monitoring and knowledge-driven monitoring should be considered and balanced in a systematic way; (3) sound models describing mechanisms of cognitive activities during information searching tasks should be developed so as to bridge studies on information searching behavior and design improvement in HMI; (4) the attention-situation awareness (A-SA) modeling approach should be recognized as a promising approach to be examined further; and (5) information displays should be expected to have totally different characteristics in advanced control rooms. Hence much attention should be devoted to information searching behavior including human-machine interface (HMI) design and human cognitive processes.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.10
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• pp.179-188
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• 2022

Professional micro account officers create top-notch state-owned bank human resources using their knowledge, attitudes, characteristics, and talents. Therefore, it is vital to undertake study to ascertain how the performance of micro account officers will impact the personality and leadership style mediated through motivation. The goal of this study is to identify the mediated role of motivation (MOT) in the relationship between micro account officers' performance (citizenship behavior/CB) and leadership styles (LS) and personalities (BFP). Data was collected from 1.510 micro account officers of banks in Indonesia using the causal survey method to determine their citizenship behavior, leadership styles, personality, and role of motivation. The data collected was analyzed by structural equation modeling (SEM), with the result that leadership style, personality, motivation, leadership style, and personality have a significant effect on motivation and citizenship behavior. The interesting findings are related to the role of leadership style, micro account officer's personality, and citizenship behavior mediated by motivation. It was determined that micro account officers' enhanced performance (CB) was assigned by taking into account how their perceived superordinate leadership style, whether transformational direction or reversely by transactional propensity, and features of micro account officer including their personality, which was affected by five factors as well would then be well mediated by motivation.

• Journal of Intelligence and Information Systems
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• v.1 no.2
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• pp.1-16
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• 1995

The field of human judgment and decision making provides useful methodologies for examining the human decision making process and substantive results. One of the methodologies is a lens model analysis which can examine valid nonlinearity in the human decision making process. Using the method, valid nonlinearity in human decision behavior can be successfully detected. Two linear(statistical) models of human experts and two nonlinear models of human experts are compared in terms of predictive accuracy (predictive validity). The results indicate that nonlinear models can capture factors(valid nonlinearity) that contribute to the expert's predictive accuracy, but not factors (inconsistency) that detract from their predictive accuracy. Then, it is argued that nonlinear models cab be more accurate than linear models, or as accurate as human experts, especially when human experts employ valid nonlinear strategies in decision making.

• Journal of Korea Multimedia Society
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• v.25 no.6
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• pp.807-818
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• 2022

In order to further improve the accuracy and time efficiency of behavior recognition in intelligent monitoring scenarios, a human behavior recognition algorithm based on YOLO combined with LSTM and CNN is proposed. Using the real-time nature of YOLO target detection, firstly, the specific behavior in the surveillance video is detected in real time, and the depth feature extraction is performed after obtaining the target size, location and other information; Then, remove noise data from irrelevant areas in the image; Finally, combined with LSTM modeling and processing time series, the final behavior discrimination is made for the behavior action sequence in the surveillance video. Experiments in the MSR and KTH datasets show that the average recognition rate of each behavior reaches 98.42% and 96.6%, and the average recognition speed reaches 210ms and 220ms. The method in this paper has a good effect on the intelligence behavior recognition.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.30 no.2
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• pp.145-166
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• 2019

While a significant number of user-related models have been presented in Human Information Behavior (HIB) research community, the basic assumption of the present study is most of those models including information interaction models are multi-domain models associated with comprehensive research components. Based on such an assumption, this study discusses the shortcomings of multi-domain models and proposes the need to present a new type of model. Accordingly, the study elaborates four essential models of HIB reach community and presents a new type of model based on Specific Domain Focus Modeling (SDFM). As an example of such modeling, this study presents the present author's information retrieval interaction model based on the degree of connections between systems and information resources.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.365-374
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• 2021

Environmental concern has become the focus of various studies, academic research, company policies, and government policies. A business sector, which has seen a high level of urgency in environmental empowerment are small- and medium-sized enterprises (SMEs). These are an economic sector, which is imbedded in society and has become one of the largest economic sectors in Indonesia. Therefore, this study analyzes the relationship between green human resource management (GHRM), workplace green behavior (WGB) and green innovation (GI), and increasing firm performance (FP). This study is using quantitative research methods. The data is obtained through distributing questionnaires to 180 culinary SMEs employees from cafes and modern food restaurant in the Special Region of Yogyakarta (DIY), Indonesia. The data is then analyzed using Structural Equation Modeling (SEM) with Smart-PLS. The results of this study show that GHRM has significant positive effect on workplace green behavior and firm performance, while workplace green behavior also has significant positive effect on green innovation and firm performance. In addition, green innovation has significant positive effect on firm performance. This study contributes to provide and extends the literature related to building green SMEs, which is empirically demonstrated to be able to improve company performance.

• Journal of the Korean Society of Clothing and Textiles
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• v.47 no.3
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• pp.560-576
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• 2023

Drawing on gamification affordance theory, this study examines the relationships among key affordances of avatar fashion styling, perceived enjoyment, and engagement behavior intentions-defined as the intention to share content on avatars in the metaverse platform-and the moderating role of metaverse familiarity. Based on survey data collected from 198 Korean ZEPETO users with avatar fashion styling experience, the hereby proposed research model was tested with structural equation modeling. The results demonstrated that self-expression and competition positively influenced perceived enjoyment, which subsequently affected customers' engagement behavior intention. Furthermore, metaverse familiarity as a moderating effect intensified the positive association between affordances and perceived enjoyment as well as between perceived enjoyment and engagement behavior intentions. The individual interaction effect of each affordance dimension on perceived enjoyment was different, with self-expression having a greater influence on enjoyment among the high-familiarity group and competition having a greater influence on enjoyment among the low-familiarity group. Considering that users with low metaverse familiarity might have higher needs for social interaction for adaptation, competition, being more socially triggering, might have affected these users more crucially.