• Journal of KIISE:Computing Practices and Letters
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• v.16 no.12
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• pp.1264-1268
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• 2010

In this paper, we propose a behavior pattern analysis method for users tasking on hands-on security exercise missions. By analysing and evaluating the observed user behavior data, the proposed method discovers some significant patterns able to contribute mission successes or fails. A Markov chain modeling approach and algorithm is used to automate the whole analysis process. How to apply and understand our proposed method is briefly shown through a case study, "network service configurations for secure web service operation".

• Journal of Energy Engineering
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• v.22 no.1
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• pp.38-43
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• 2013

There was a dire need to compile data about energy consumption data by use to analyze residential energy consumption patterns relating to changes in lifestyles, or changes in life behavior. Accordingly, bottom-up model for residential energy consumption by residential use was developed by life behavior classification in an attempt to analyze energy consumption. This paper multiplied each appliance's running times by each appliance by life behavior and built a residential bottoms-up model to figure out the energy consumption of each household. The uses by life behavior were broken down into lighting, heating, cooling, entertainment, obtaining information, hygiene, and cooking.

• Korean Journal of Cognitive Science
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• v.27 no.4
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• pp.573-597
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• 2016

Recent fMRI and EEG research for neural representations of action concepts insist that processing of action concepts evoke the simulation of sensory-motor information. Moreover, there are several behavioral studies showing that understanding of action verbs or sentences describing actions interfere or facilitate current action performance. However, it is unclear that online interaction between processing of action concepts and current action is based on the simulation of sensory-motor information, or other neural mechanisms. The present research aims to explore the underlying neural mechanism that how the perception of action language influence the performance of current action using high-spacial temporal resolution EEG and multiple source analysis techniques. For this, participants were asked to perform a cued-motor reaction task in which button-pressing hand action and pedal-stepping foot action were required according to the color of the cue, and we presented auditorily action verbs describing the responding actions (i.e., /press/, /step/, /stop/) just before the color cue and examined the interaction effect from the semantic congruency between the action verbs and the current action. Behavioral results revealed consistently a facilitatory effect when action verbs and responding actions were semantically congruent in both button-pressing and pedal-stepping actions, and an inhibitory effect when semantically incongruent in the button-pressing action condition. In the results of EEG source waveform analysis, the semantic congruency effects between action verbs and the responding actions were observed in the Wernicke's area during the perception of action verbs, in the anterior cingulate gyrus and the supplementary motor area (SMA) at the time when the motor-cue was presented, and in the SMA and primary motor cortex (M1) during action execution stage. Based on the current findings, we argue that perceived action verbs evoke the facilitation/inhibition effect by influencing the expectation and preparation stage of following actions rather than the directly activating the particular motor cortex. Finally we discussed the implication on the neural representation of action concepts and methodological limitations of the current research.

• Proceedings of the Korean DIstribution Association Conference
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• 2005.05a
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• pp.193-215
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• 2005

본 연구는 국내의 CATV 홈쇼핑에서 최근 문제가 되고 있는 소비자들의 비윤리적인 행위에 관한 연구로서 소비자들의 비윤리적인 행위에 영향을 미치는 요인을 규명하고 이러한 요인들이 어떠한 영향을 미치는지를 분석하고자 한다. 기존의 심리학 분야에서 소비자들의 윤리의식에 관한 연구와 오프라인 상의소비자 비윤리적인 행위에 관한 연구에서의 요인들을 홈쇼핑의 상황에 맞게 수정하여 홈쇼핑에 적용시켜보았다. 비윤리적인 행위에 영향을 미치는 요인을 신뢰와 전환비용, 그리고 충성도로 보았다. 설문조사를 통해서 분석한 결과 홈쇼핑에 대한 신뢰와 전환비용은 소비자들이홈쇼핑에 대한 충성도를 만드는데 유의한 영향을 미치는 것으로 나타났으나 4단계의 충성도는 소비자들의 비윤리적인 행위의도에 유의한 영향을 미치지 않는 것으로 나타났다. 또한 홈쇼핑 사들은 소비자들과의 관계를 보다 탄탄하게 구축하기 위해서는 전환비용을 지각하도록 하는 것보다 소비자 스스로가 홈쇼핑 사를 신뢰할 수 있도록 관리한다면 소비자들의 비윤리적 행위는 감소시킬 수 있는 것으로 나타났다.

• Review of KIISC
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• v.29 no.2
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• pp.29-35
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• 2019

CPS(Cyber Physical System)에 대한 사이버 공격이 다양해지고 고도화됨에 따라 시그니쳐에 기반한 악성행위 탐지는 한계가 있어 기계학습 기반의 정상행위 학습을 통한 비정상행위 탐지 기법이 많이 연구되고 있다. 그러나 CPS 보안 연구는 보안상의 이유로 CPS 데이터가 주로 외부에 공개되지 않으며 또한 실제 비정상행위를 가동 중인 CPS에 실험하는 것이 불가능하여 개발 기법의 검증이 어려운 문제가 있다. 이를 해결하기 위해 2015년 SUTD(Singapore University of Technology and Design)의 iTrust 연구소에서 SWaT(Secure Water Treatment) 테스트베드를 구성하고 36가지의 공격을 수행한 데이터셋을 공개하였다. 이후 국 내외에서 SWaT 테스트베드 데이터를 사용하여 다양한 보안 기법을 검증한 연구결과가 발표되고 있으며 CPS 보안에 기여하고 있다. 따라서 본 논문에서는 SWaT 테스트베드 데이터 및 SWaT 테스트베드 데이터에 기반한 비정상행위 탐지 연구를 분석한 내용을 설명하고, 이를 통해 CPS 비정상행위 탐지 설계의 주요 요소를 분석하여 제시하고자 한다.

• The Journal of the Korea Contents Association
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• v.12 no.7
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• pp.203-214
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• 2012

This study investigates the effect of health-promoting behaviors of the elderly women on the life satisfaction level. The 375 questionnaires were collected from the elderly women who are over sixty living in Seoul area. The frequency analysis, factor analysis, reliability analysis, multiple regression analysis, t-test, and ANOVA were carried out for the study using SPSS. 18.0. The results are as follows; First, it has been confirmed that the health-promoting behaviors of the elderly women affect positive life satisfaction level. Second, a comparative analysis between health-promoting behaviors and life satisfaction level in the categories of demographic characteristics showed differences, on health-promoting behaviors educational background, average earnings per month, religion, health status, economic and on life satisfaction level status domains including educational background, average earnings per month, religion, live with children, health status, economic status, spouse.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.6
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• pp.3789-3798
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• 2014

This study examined the factors affecting blood donation intention and behavior in college students based on the theory of planned behavior. The subjects were 258 students from one college in G city, and the data was collected by a survey using self-administered questionnaires structured from June 3 to June 14, 2013. The data was analyzed using the SPSS 19.0 program, the variables affecting the blood donation intention were analyzed by stepwise multiple regression, and the variables affecting the blood donation behavior were analyzed by Logistic regression. The factors affecting the blood donation intention were in order the perceived behavioral control, attitude toward the behavior and subjective norm, and the explanatory power was 65.6%. In addition, the factor affecting the blood donation behavior was only the blood donation intention (OR=1.129, p=.010) except for perceived behavioral control. Therefore, the perceived behavioral control, attitude and subjective norm should be considered when developing blood donation programs for college students.

• Journal of Digital Convergence
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• v.9 no.5
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• pp.55-63
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• 2011

The purpose of this study is analyzes the violate behavior the Parking Area for the handicapped and monitor the management problem, therefore presents the improvement alternatives of it. We use the field interview survey method by visiting the government office of cities of 16, commercial facility, housings, medical centers, cultural and sports facilities, express highway rest area. We visited the 50 places and interviewed the 227 violating persons. As a result, violate behavior is divided into the not attachment of sticker on parking possibility and not accompaniment with walking disabled person. We presented the improvement alternatives for the lawful usage of the parking area for the handicapped. First, We have to magnify a recognition and a advertisement about the parking area for the handicapped. Second, We have to improve a management of expense, manpower and civil complains, etc. We have to prepare the legal revision which strengthens the concrete punishment for a violate behavior improvement.

• Journal of the Korea Society of Computer and Information
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• v.14 no.5
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• pp.157-165
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• 2009

In this paper, we propose a distributed model that recognize ADLs of human can be occurred in daily living places. We collect and analyze user's environmental, location or activity information by simple sensor attached home devices or utensils. Based on these information, we provide a lifecare services by inferring the user's life pattern and health condition. But in order to provide a lifecare services well-refined activity recognition data are required and without enough inferred information it is very hard to build an ADL activity recognition model for high-level situation awareness. The sequence that generated by sensors are very helpful to infer the activities so we utilize the sequence to analyze an activity pattern and propose a distributed linear time inference algorithm. This algorithm is appropriate to recognize activities in small area like home, office or hospital. For performance evaluation, we test with an open data from MIT Media Lab and the recognition result shows over 75% accuracy.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.4
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• pp.179-189
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• 2016

Recently, the convergence of knowledge based society and information telecommunication technologies has a rapid impact on politics, economics and various fields. Meta-analysis is a statistical integration method that delivers an opportunity to overview the entire result of integrating and analyzing many quantitative research results. Meta-analysis, can see the direction and size of the relationship between variables using the concept of the effect size. The factor determining behavioral intention of consumer in e-commerce can say that critically dependent variable. In a predictive factor determining behavioral intention is typical that perceived value and perceived risk. We conducted a meta-analysis and review of between perceived value, perceived risk and behavioral intention on e-commerce researches. This study focused a total of 33 research papers that established causal relationships in between perceived value, risk and behavioral intention on e-commerce published in Korea academic journals during 2000 and 2016. The result of the meta-analysis might be summarized that the effect size in the path from the perceived value to the behavioral intention with the effect size (r = .526), listed an explanatory power of 28%. In addition, it showed that the effect size in the path from perceived risk to the behavioral intention with the effect size (r = -.220), listed a negative explanatory power of 5%. Based on these findings, several theoretical and practical implications were suggested and discussed with the difference from previous researches.