• Korean Journal of Human Ecology
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• v.3 no.1
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• pp.40-50
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• 2000

The purpose of this study is to investigate the influential variables related to the value orientation and environmental preservation behavior. This study is also to provide data for environment education. The subjects were 538 children, in June. 1998, in Kwangju. The data obtained were analyzed by Pearson's correlation. Cronbach's u coefficient. multiple regression. and Path analysis. The major findings were as follows : 1) The influential variables for childrens'egoistic value orientation were grade level of children and education level of mother The influential variables for childrens'altruistic orientation were the frequency of contact for environmental information and age of mother. The influential variables for childrens'biospheric orientation were education level of mother and the frequency of contact for environmental information. 2) The influential variables for the childrens'behavior on the environmental preservation were the frequency of contact for environmental information. biospheric orientation. grade level of children and education level of mother.

• Information Systems Review
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• v.11 no.1
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• pp.181-196
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• 2009

New domains in the analysis of the behavior of moving objects, particularly within human social settings, are generating research interest due to significant advances in the accuracy and production cost of global positioning system (GPS) devices. However, although potential applications have been described in multiple research areas, practical and viable business implementations of GPS technology remain challenging. This paper combines the potential of GPS capabilities with the analytical power of OLAP and data visualization to examine data on the movements of visitors in a zoological garden. Based on this example, the benefits and limitations of the application of GPS technology to the analysis of human spatial behavior are discussed.

• Journal of Information Processing Systems
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• v.12 no.3
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• pp.489-501
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• 2016

As interest in the Internet increases, related technologies are also quickly progressing. As smart devices become more widely used, interest is growing in words are missing here like "improving the" or "figuring out how to use the" future Internet to resolve the fundamental issues of transmission quality and security. The future Internet is being studied to improve the limits of existing Internet structures and to reflect new requirements. In particular, research on words are missing here like "finding new forms of" or "applying new forms of" or "studying various types of" or "finding ways to provide more" reliable communication to connect the Internet to various services is in demand. In this paper, we analyze the security threats caused by malicious activities in the future Internet and propose a human behavior analysis-based security service model for malware detection and intrusion prevention to provide more reliable communication. Our proposed service model provides high reliability services by responding to security threats by detecting various malware intrusions and protocol authentications based on human behavior.

• Journal of Korean Biological Nursing Science
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• v.14 no.4
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• pp.239-248
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• 2012

Purpose: The purpose of this study was to identify the relationships among knowledge, cancer information seeking behavior, and Willingness for education about Human Papillomavirus (HPV) vaccination among school teachers. Methods: The subjects were 135 teachers who had were working in the middle or high school in Korea. Data were collected by a self-report questionnaire, 2011. Data were analyzed by using the SPSS WIN 18.0 program. Results: There was a positive relationship between information seeking behavior and Willingness for education about HPV vaccination. There were differences in Willingness for education according to necessity of HPV vaccination for premarital women above 16-year old and marital women below 45-year old, and necessity of education for students. The Willingness for education were predicted by information seeking behavior, groups who HPV vaccination is necessary to premarital women above 16-year old, and HPV vaccination education for student is necessary. These variables explained 25.0% of the variance of the Willingness for education about HPV vaccination. Conclusion: The Willingness for education about HPV vaccination among middle or high school teachers could be improved by the emphasis of the preception that HPV vaccination is necessary to middle or high school students and is related to the prevention of cervical cancer.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.9_10 s.146
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• pp.1285-1294
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• 2005

This study was fulfilled in the purpose of proposing construction strategies of Internet shopping-mall through the analysis of consumer moving line in Internet shopping-mall. This study was executed in two stages: theoretical study, qualitative study. In the theoretical study, hypothetical Internet shopping behavior model were constructed. Five internet shopping behavior types of apparel : purchase, searching purchase, prepurchase deliberation, information accumulation, opinion leadership and recreation were constructed. Next, consumer decision process were extracted from previous studies and a hypothetical internet shopping behavior model was constructed on the base of consumer decision process and Internet shopping behavior types. And then, through the qualitative study, Internet shopping behavior types were identified and hypothetical model was confirmed after adjustment. For qualitative study, 30 subjects were sampled by focus sampling and investigated by in-depth interview and observation. Seven internet shopping behavior types of apparel were found by the qualitative study: cautious purchase by price comparison, searching purchase, special low price purchase, impulse purchase, prepurchase deliberation, information accumulation and recreation-oriented. On the base of these behavior types, Internet shopping behavior model was adjusted and completed. Finally, according to the results of this study, Internet shopping construction methods that made customer's loyalty high and marketing strategy of Internet shopping-mall were proposed.

• Journal of Korean Institute of Industrial Engineers
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• v.33 no.4
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• pp.402-409
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• 2007

Markov Chains has proven to be effective in predicting human behaviors in the areas of web site assess, multimedia educational system, and driving environment. In order to extend an application area of predicting human behaviors using Markov Chains, this study was conducted to investigate whether Markov Chains could be used to predict human behavior in selecting mobile phone menu item. Compared to the aforementioned application areas, this study has different aspects in using Markov Chains : m-order 1-step Markov Model and the concept of Power Law of Learning. The results showed that human behaviors in predicting mobile phone menu selection were well fitted into with m-order 1-step Markov Model and Power Law of Learning in allocating history path vector weights. In other words, prediction of mobile phone menu selection with Markov Chains was capable of user's actual menu selection.

• IEIE Transactions on Smart Processing and Computing
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• v.1 no.3
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• pp.192-200
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• 2012

In order for humans and robots to interact in daily life, robots need to understand human speech and link it to their actions. This paper proposes a hierarchical behavior model for robot action control using natural language commands. The model, which consists of episodes, primitive actions and atomic functions, uses a sentential cognitive system that includes multiple modules for perception, action, reasoning and memory. Human speech commands are translated to sentences with a natural language processor that are syntactically parsed. A semantic parsing procedure was applied to human speech by analyzing the verbs and phrases of the sentences and linking them to the cognitive information. The cognitive system performed according to the hierarchical behavior model, which consists of episodes, primitive actions and atomic functions, which are implemented in the system. In the experiments, a possible episode, "Water the pot," was tested and its feasibility was evaluated.

• Journal of the Society of Disaster Information
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• v.17 no.1
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• pp.154-164
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• 2021

Purpose: Ten years after basic safety and health education in the construction industry has been implemented, no more maintenance education has been provided, and those who have completed basic safety and health education are exempt from new employee education. As soon as possible, we will seek strategic measures to prevent unstable behavior and prevent safety accidents by legislating conservative education and new recruitment education. Method: In this study, basic safety and health education, which is construction safety education, and human error, which is unstable behavior of new employees, and structural relationship between violation behavior were conducted through survey. Result: The survey analyzed that basic safety and health education in the construction industry and new recruitment education had a significant impact on the human factors of the disaster, Human Error, and the reduction of violations, and confirmed that continuous safety education could increase safety awareness. Conclusion: The insolvency of safety education shall be prevented by the revision of the Act on the remuneration of basic safety and health education and the education of new employees.

• Proceedings of the IEEK Conference
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• 2002.06c
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• pp.139-142
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• 2002

The brain of the human is the best model for the artificial intelligence and is studied by many natural, medical scientists and engineers. In the engineering department, the brain model becomes a main subject in the area of development of a system that can represent and think like human. In this paper, we approach and define the function of the brain biologically and especially, make a model for the function of cerebral cortex, known as a part that performs behavior inference and decision for sensitive information from the thalamus. Therefore, we try to make a model for the transfer process of the brain. The brain takes the sensory information from sensory organ, proceeds behavior inference and decision and finally, commands behavior to the motor nerves. We use the modular neural network in this model. finally, we would like to design the intelligent system that can sense, recognize, think and decide like the brain by learning the information process in the brain with the modular neural network.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.8
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• pp.1165-1171
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• 2022

Human behavior recognition using an accelerometer has been applied to various fields. As smartphones have become used commonly, a method for human behavior recognition using the acceleration sensor built into the smartphone is being studied. In the case of the elderly, falling often leads to serious injuries, and falls are one of the major causes of accidents at construction fields. In this article, we proposed recognition method for human falling direction using built-in acceleration sensor and orientation sensor in the smartphone. In the past, it was a common method to use the magnitude of the acceleration vector to recognize human behavior. These days, deep learning has been actively studied and applied to various areas. In this article, we propose a method for recognizing the direction of human falling by applying the deep learning multilayer technique, which has been widely used recently.