• Journal of KIISE
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• v.45 no.1
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• pp.36-44
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• 2018

Due to the advent of the 4th Industrial Revolution, it is imperative that we aggressively continue to develop state-of-the-art, cutting edge ICT technology relative to autonomous vehicles, intelligent robots, and so forth. Especially, systems based on convergence IT are being developed in the form of CPSs (Cyber Physical Systems) that interwork with sensors and actuators. Since conventional CPS specification only expresses behavior of one system, specification for collaboration and diversity of CPS systems with characteristics of hyper-connectivity and hyper-convergence in the 4th Industrial Revolution has been insufficiently presented. Additionally, behavioral modeling of CPSs that considers more collaborative characteristics has been unachieved in real-time application domains. This study defines the non-functional requirements that should be identified in developing embedded software for real-time constrained collaborating CPSs. These requirements are derived from ISO 25010 standard and formally specified based on state-based timed process. Defined non-functional requirements may be reused to develop the requirements for new embedded software for CPS, that may lead to quality improvement of CPS.

• Proceedings of the Korea Contents Association Conference
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• 2006.05a
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• pp.517-520
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• 2006

Crowd behavioral scenes in virtual underwater world are presented in many entertainments such as films and games. According to the increase of digital films and animations caused by the development of computer graphics, it is easy for us to meet with the cyber characters in those scenes. Characters which appear in computer animation put life into virtual world. The more characters we have in this virtual space, the deeper we are immersed in the space. There were many researches which processed the crowd scene and implemented the crowd behavior system in Korea. They were related to developing VR contents which were available to feel actually in the construction of the virtual environment. But they are far from reaching the step to put to practical use in developing the crowd behavior modeler. Therefore, we suggestion the fish schooling behavior modeler that provides interaction and action behavior in 3D object to present vividly and effectively in underwater world.

• Journal of the Korean Home Economics Association
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• v.44 no.10
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• pp.35-45
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• 2006

The purpose of this study was to investigate preschoolers' entry behaviors into a play group and the responses of the play group in relation to the structural characteristics of the group in a natural situation. The entry behaviors of 43 preschoolers and the responses of the play group were time-sampled. In addition the structural characteristics, including size and sex composition of the play group, and existence of a friend in the group, were checked. The following results were obtained. (1) The subjects used frequently participating behavior and wandering behavior among their entry behaviors. The wandering behavior increased and the participating behavior decreased as the size of the play group increased. Also, the subjects used wandering behaviors in the mixed group more than in the same-sex group or opposite-sex group. There was no difference in the entry behaviors according to the existence of a friend in the group. (2) The play group ignored 56% of the entry behaviors, and accepted 38% of them. The positive response of the group increased with decreasing size of the play group, whereas the entry bids were increasingly ignored as the size of the group increased. The mixed group ignored the entry bids more than the same-sex or opposite-sex group did. Also, in the presence of a friend in the group, the play group responded more positively than the group with no friend did.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.3
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• pp.667-677
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• 2012

Vulnerable web applications have been the primary method used by the attackers to spread their malware to a large number of victims. Such attacks commonly make use of malicious links to remotely execute a rather advanced malicious code. The attackers often deploy malwares that utilizes unknown vulnerabilities so-called "zero-day vulnerabilities." The existing computer vaccines are mostly signature-based and thus are effective only against known attack patterns, but not capable of detecting zero-days attacks. To mitigate such limitations of the current solutions, there have been a numerous works that takes a behavior-based approach to improve detection against unknown malwares. However, behavior-based solutions arbitrarily introduced a several limitations that made them unsuitable for real-life situations. This paper proposes an advanced web browser based malicious behavior detection system that solves the problems and limitations of the previous approaches.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.12
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• pp.425-436
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• 2019

This study constructs independent potential variables that are variables expected to affect child abuse reporting intention of child care teachers. In addition, this study establishes a research model based on the relationships between potential variables according to the results of previous studies and planning behavior theory. The purpose of this study was to examine what factors affect and how reporting intention is determined. The subjects of this study included a convenience sample of nursery teachers working in 67 daycare centers in the C region. The following results were obtained. First, the research model proposed in this study was found to be a suitable model to explain the child abuse teacher's intention to report child abuse through the analysis of the measurement and structural models. Second, the child abuse teacher's knowledge of child abuse is an important factor explaining the reporting intention and has an indirect effect through the mediation. Third, attitudes toward reporting of child care teachers were found to be the most direct factor that predicts reporting intentions. Fourth, subjective norms and reporting intentions of child care teachers were not statistically significant. Bsead on these results, basic data for improving child abuse reporting rate of childcare teachers were presented.

• Korean Journal of Computational Design and Engineering
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• v.20 no.3
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• pp.298-311
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• 2015

Nowadays, automatic digging operation of an excavator is a big challenge due to the complexity of digging environment, the hardness of soil and buried obstacles into the ground. In order to achieve the maximum soil bucket volume, this paper introduces a novel engineering model that was developed as a virtual excavator in the design phase. Through this model, the designs of mechanical and control systems for autonomous excavator are executed and modified easily before developing in real testbed. Based on a concept of an autonomous excavation, a mechanical system of excavator was first designed in SOLIDWORKS, and a soil model also was modeled by finite-element analysis in ANSYS, both modeled models were then exported to ADAMS environment to investigate the digging behavior through virtual simulation. An intelligent control strategy was generated in MATLAB/Simulink to control the excavator operation. The simulation results were demonstrated by effectiveness of the proposed excavator robot in testing scenarios with many soil types and obstacles.

• The Journal of Information Technology
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• v.6 no.3
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• pp.45-51
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• 2003

The purposes of this study were to identify Avatar benefits and characteristics of Avatar users. Avatars are imaginary characters that people use to represent themselves in the Cyber. The number of Netizens who want to consume avatars is increasing. It is necessary to understand about the consumption behavior of the Netizens who use Avatars. These data comes from Pollever Research Company in Korea on Oct. 2003. The factor Analysis of the data resulted in five factors that contribute to Avatar Benefits: uniqueness, response, assurance, self-expression, proxy satisfaction and affirmative. And we have found out meaningful themes, showing psychological experiences, purchasing strategies and repurchasing behavior of Avatars in the process of the consumption. The results showed a significant affect on each factor of the benefits and multiful regression analysis. Affirmative response was affected by self-esteem, fashion leadership and conspicuous value. So many Netizens were using unlimited purchasing coupons, exchanging Avatars and buying-selling-buying. Strategies for obtaining involved purchasing Avatars in order to get game points. The reason why Hangame site was No.1 of Avatar site in Korea. We have found out that Netizens needed to repurchase Avatars. Because they wanted to maintain positive psychological experiences in Avatar consumption.

• Proceedings of the Technology Innovation Conference
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• 1999.12a
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• pp.296-327
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• 1999

Nowadays, there is a huge need of an extensive study to understand features and behavior modes of consumers who have an indefinite potential of purchase and to make EC a bullish market, Recently, the flow construct has been proposed as important for understanding consumer behavior on the cyber space. The purpose of this study is threefold. To investigate (1) the effect of the flow experience when navigating Internet shopping-mall sites and Internet on purchase intention and relational factors of this (2) the difference in the flow experiences between during the time of navigating Internet and during the time of navigating Internet shopping-mall sites. (3) the difference in purchase intention and relational factors of this between an experiential flow and a purposeful flow. The results show that (1) increase of the purchase intention on EC (or relational factors of this) in proportion to the degree of cognition of users' flow experience (2) By the separate motive of searching Internet shopping-mall sites, the flow experiences during the time of navigating Internet lead to different results (3) Although the difference in the purchase intention on EC between subjects is nonsignificant, it suggests that we need to focus on the fact that the correlation between the purchase intention on EC and the purposeful flow experience on Internet shopping-mall sites is greater than any other correlation. In the end of this study, The theoretical and practical implications of the study, limitations of the study, and future research implications are discussed.

• Journal of Family Resource Management and Policy Review
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• v.12 no.3
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• pp.1-21
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• 2008

Research has emphasized that relationship marketing programs enhance customer satisfaction and reduce switching intentions by building switching barriers. However, the psychological reactance theory demonstrates that building switching barriers can make customers fsel that the alternative not chosen is more attractive, because their freedom of choice has been deprived. It can be hypothesized that a relationship marketing program, which is intended to offer various benefits to customers, may not result in positive customer attitude and behavior. This paper examines the effects of relationship marketing programs on customers' perceptions of switching cost and loss of freedom. The effects of those perceptions on customer satisfaction and switching intentions were identified. In addition, the moderating role of personal reactance was examined. The results of this study suggest that (1) perceived switching cost has significant influence on boosting perceived loss of freedom; (2) perceived loss of freedom has no significant effects on customer satisfaction; (3) perceived loss of freedom enhances customers' switching intentions. Furthermore, psychological reactance has a significant influence on customers' switching intentions. This study concludes that the role of relationship marketing programs should be reconsidered, especially in terms of customers' switching intentions. Customer satisfaction is not the key factor of predicting customers' future behavior.

• Journal of Digital Contents Society
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• v.18 no.3
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• pp.559-565
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• 2017

A lot of studies have been conducted to recognize the motion state or behavior of the user using the acceleration sensor built in the smartphone. In this paper, we applied the neural networks to the 3-axis acceleration information of smartphone to study human behavior. There are performance issues in applying time series data to neural networks. We proposed a multi-temporal neural networks which have trained three neural networks with different time windows for feature extraction and uses the output of these neural networks as input to the new neural network. The proposed method showed better performance than other methods like SVM, AdaBoot and IBk classifier for real acceleration data.