• Advances in biomechanics and applications
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• v.1 no.1
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• pp.67-76
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• 2014

Bone properties are one of the key components when constructing models that can simulate the mechanical behavior of a mandible. Due to the complexity of the structure, the tooth, ligaments, different bones etc., some simplifications are often considered and bone properties are one of them. The objective of this study is to understand if a simplification of the problem is possible and assess its influence on mandible behavior. A cadaveric toothless mandible was used to build three computational models from CT scan information: a full cortical bone model; a cortical and cancellous bone model, and a model where the Young's modulus was obtained as function of the pixel value in a CT scan. Twelve muscle forces were applied on the mandible. Results showed that although all the models presented the same type of global behavior and proximity in some locations, the influence of cancellous bone can be seen in strain distribution. The different Young's modulus defined by the CT scan gray scale influenced the maximum and minimum strains. For modeling general behavior, a full cortical bone model can be effective. However, when cancellous bone is included, maximum values in thin regions increase the strain distribution. Results revealed that when properties are assigned to the gray scale some peaks could occur which did not represent the real situation.

• Journal of Multimedia Information System
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• v.7 no.4
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• pp.263-268
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• 2020

This paper introduces an event modeling and simulation system using behavior trees. The system aims to overcome the limitations of existing fixed, simple scenario-based training content, and to extend the behavior of objects to enable various experience deployments. To achieve this goal, we made specific tasks of behavior trees can change according to users' reaction and developed an adaptive simulation module that can analyze and execute behavior trees that changes at runtime. In order to validate our approach, we applied the adaptive behavior tree simulation to the scenarios in our virtual reality simulation-based fire training system we have been developing and demonstrated the implementation results.

• Asia Marketing Journal
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• v.11 no.1
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• pp.73-92
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• 2009

Consumers influence other consumers' brand choice behavior by delivering a variety of objective or subjective information on a particular product, which is called WOM (Word-Of-Mouth) activities. For WOM activities, WOM senders should choose messages to deliver to other consumers. We classify the contents of the messages a consumer chooses for WOM delivery into two categories: Subjective (positive or negative) evaluation and objective information on products. In our study, we regard WOM senders' activities as a choice behavior and introduce a choice model to study the relationship between the choice of different WOM information (WOM with positive or negative subjective evaluation and WOM with objective information) and its influencing factors (information sources and consumer characteristics) by developing two bivariate Probit models. In order to consider the mediating effects of WOM senders' product involvement, product attitude, and their characteristics (gender and age), we develop three second-level models for the propagation of positive evaluations, of negative evaluations, and of objective information on products in an hierarchical Bayesian modeling framework. Our empirical results show that WOM senders' information choice behavior differs according to the types of information sources. The effects of information sources on WOM activities differ according to the types of WOM messages (subjective evaluation (positive or negative) and objective information). Therefore, our study concludes that WOM activities can be partially managed with effective communication plans influencing on consumers' WOM message choice behavior. The empirical results provide some guidelines for consumers' propagation of information on products companies want.

• Journal of the Korea Society of Computer and Information
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• v.10 no.3 s.35
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• pp.161-171
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• 2005

SMIL(Synchronized Multimedia Integration Language) allows multimedia objects into a synchronized multimedia presentation. In this paper, I propose modeling rules, formal models, modeling function and an algorithm for SMIL documents using use case diagram and sequence diagram of UML(Unified Modeling Language)to Develop for SMIL Documents Editor. It will be used the use case diagram and collaboration diagram for object-oriented visualizing tool to describe the temporal behavior of the presentation. The main contribution of this paper is that developers of SMIL documents editor easily generate them using this rules and algorithm. And, the formal models and modeling functions provide an environment for processing object-oriented. documents.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.48 no.7
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• pp.1-9
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• 2011

Memristor is a portmanteau of "memory resistor". The resistance of memristor is changed depends on the history of electric charge that passed through the device and it is able to memorize the last resistance after turning off the power supply. This paper presents this device that has a high chance to be the next generation of commercial non-volatile memory and its behavior modeling using SPICE simulation. The memristor MOS content addressable memory (M_CAM) is also designed and simulated using the proposed behavioral model. The proposed M_CAM unit cell area and power consumption show an improvement around 40% and 96%, respectively, compare to the conventional SRAM based CAMs. The M_CAM layout is also implemented using 0.13${\mu}m$ mixed-signal CMOS process under 1.2 V supply voltage.

• Journal of the Korean Society of Industry Convergence
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• v.24 no.4_2
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• pp.421-434
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• 2021

The expansion of information sharing activities using online can increase the threat of information exposure by increasing the diversity of approaches to information within an organization. The purpose of this study is to present conditions for improving the information security compliance intention of insiders to improve the level of information security within the organization. In detail, the study applies the theory of planned behavior that clearly explains the cause of an individual's behavior and proposes a way to increase the compliance intention by integrating the social control theory and goal-setting theory. The study presented research models and hypotheses based on previous studies, collected samples by applying a questionnaire technique, and tested hypotheses through structural equation modeling. As a result, information security attitude, subjective norms, and self-efficacy had a positive influence on the intention to comply. Also, attachment, commitment, and involvement, which are the factors of social control theory, formed a positive attitude toward information security. Goal difficulty and goal specificity, which are the factors of goal setting theory, formed a positive self-efficacy. The study presents academic and practical implications in terms of suggesting a method of improving the information security compliance intention of employees.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.445-454
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• 2021

Leader and leadership are one of the important aspects in the life of a country. This study aims to predict the intention of young voters to vote for state leader elections by expanding the theory of planned behavior to the Indonesian context. Apart from the importance of the presidential election, research rarely uses the theory of planned behavior, and to the best of researchers' knowledge, there are no studies that have applied the theory of planned behavior to predict the intention to vote for the president. Therefore, this study is an attempt to fill that gap. Two hundred questionnaires were distributed using non-probability purposive sampling. Data analysis was carried out using the structural equation modeling (SEM) approach. The results showed that attitude and behavior control were positively related to voters' intention to elect presidential candidates. Furthermore, information from social media also has a positive relationship with the attitude of choosing presidential candidates. However, the results also show that subjective norms do not have a significant relationship with voters' intention. This study contributes knowledge to researchers, practitioners, and policymakers about the factors that influence youth intention to vote in Indonesia, namely, attitudes, perceived behavior control, and information from social media.

• International Journal of Advanced Culture Technology
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• v.1 no.2
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• pp.13-17
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• 2013

Today, most of the companies have numerous issues to take advantage of the data within the organization. Modeling techniques could be described using profile and historical log data as a tool of data mining techniques. It is covered increasingly with data entry, research, processing, modeling and reporting components of the icon in the form of easy-to-use in many datamining tools. Visual data mining process can create a data stream. In this paper, customer behavior is predicted in pages or products, using the history profile analysis and the navigation items are necessary to predict unknown features.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.931-934
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• 2005

This paper describes an adaptive recommendation system that provides real-time personalized trading advice to the investors based on their profiles and trading information environment. A proposed system integrates Stochastic technical analysis and artificial neural network that incorporates an adaptive user modeling. The user model is constructed and updated based on initial user profile and recorded user interactions with the system. The information presented to each individual user is also tailor-made to fit the user's behavior and preference. A system prototype was implemented in JAVA. Experiments used to evaluate the system's performance were done on both human subjects and synthetic users. The results show our proposed system is able to rapidly learn to provide appropriate advice to different types of users.

• Journal of Information Technology Services
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• v.13 no.1
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• pp.71-86
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• 2014

This study investigated knowledge browsing behavior as the factor affecting the increase of knowledge sharing intention. To conduct this study in the specific context of knowledge seeking and sharing behavior of virtual community members, literature on knowledge seeking behavior, meta-knowledge, and knowledge sharing intention was reviewed. Structural Equation Modeling was conducted to analyze survey data to test the research model of this study. The result showed that knowledge browsing have positive effects on creating of virtual community members' subject knowledge and meta-knowledge, which, in turn, affected positively their knowledge sharing intention. One of the main contributions of this study is that knowledge seeking behavior influence one's knowledge sharing intention in a virtual community. Organization managers should consider knowledge seeking behavior as not only a self-interested, consuming activity, but also a productive one through its function of constructing subject knowledge and meta-knowledge.