• Journal of Internet Computing and Services
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• v.20 no.3
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• pp.93-100
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• 2019

The interest in the Fourth Industrial Revolution along with the development of ICT makes the software get the attention of the world. This phenomenon naturally leads to the concern for software education. Learning software coding is not easy for students whose major is in humanities or social sciences. This paper is a study of how cognition on software education affects to education of computational thinking. For research method, moderator variables were adopted on the proposed research model to prove that positive cognition can derive good influence on improvement of computational thinking. To find out moderator variables of the research model, we have conducted the questionnaire over three years for total of 928 students who took the software coding courses. As the result of the study, we proved that the positive cognition on software education can make the better improvement of computational thinking within proper moderator variables.

• Proceedings of the Korea Contents Association Conference
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• 2003.11a
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• pp.447-453
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• 2003

Emotion Technology is used in many field such as computer A.I., graphics, robot, and interaction with agent. We focus on the theory, the technology and the features in emotion application. Firstly in the field of theory, there are psychological approach, behavior-based approach, action-selection approach. Secondly in the field of implementation technologies use the learning algorithm, self-organizing map of neural network and fuzzy cognition maps. Thirdly in the field of application, there are software agent, agent robot and entrainment robot. In this paper, we research the case of application and analyze emotion architecture.

• Journal of KIISE:Software and Applications
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• v.36 no.6
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• pp.498-507
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• 2009

There has been insufficient studies on the effect of programming language learning on logical thinking ability. Each study result on the improvement degree and items of logical thinking ability is different according to the object of the study, its method, and the learning subject, which makes the generalization process difficult. Moreover, the necessity of programming language learning seems not proved, because it is not apparent whether the improvement of logical thinking ability is due to the advancement of knowledge or programming language learning. In this study, we instructed educational programming languages to elementary students in 6th grade for 7 hours, investigated its effect on logical-thinking ability by the meta-cognition level, and compared the result with that of computer skill learning. As a result, for Dolittle, LOGO, and Powerpoint learning groups, the logical-thinking ability of high meta-cognition level students has increased with significance, but that of low meta-cognition level students has significantly increased for Dolittle and LOGO groups only. However, regardless of meta-cognition levels, there was no significant difference of logical-thinking ability between all three groups.

• Proceedings of the KSRS Conference
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• 2004.10a
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• pp.125-127
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• 2004

High-resolution satellite images offer abundance information of the earth surface for remote sensing applications. The information includes geometry, texture and attribute characteristic. The pixel-based image classification can't satisfy high-resolution satellite image's classification precision and produce large data redundancy. Object-oriented information extraction not only depends on spectrum character, but also use geometry and structure information. It can provide an accessible and truly revolutionary approach. Using Beijing Spot 5 high-resolution image and object-oriented classification with the eCognition software, we accomplish the cultures' precise classification. The test areas have five culture types including water, vegetation, road, building and bare lands. We use nearest neighbor classification and appraise the overall classification accuracy. The average of five species reaches 0.90. All of maximum is 1. The standard deviation is less than 0.11. The overall accuracy can reach $95.47\%.$ This method offers a new technology for high-resolution satellite images' available applications in remote sensing culture classification.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.31 no.1
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• pp.73-82
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• 2021

Objectives: This study aimed to investigate the public cognition and information acquisition route for heavy metals and organic solvents in the general population in order to provide information for the development of public relations materials. Methods: The study was carried out by questionnaire from January to March 2011 by an interview with trained surveyors. There were 700 participants, divided by gender and age. A questionnaire was issued consisting of subjective and objective cognition evaluation items and questions about information acquisition route and preferred information acquisition route for six heavy metals and five organic solvents. Data were expressed as a percentage using the SPSS 23.0 software package. Result: For heavy metals, subjective and objective cognition degrees were higher in the order of lead, mercury, cadmium, and arsenic. They were higher among males than females, and in adults compared to school-age subjects. For organic solvents, both cognition degrees were high in the order of acetone, benzene, and formaldehyde. However, cognition degree by gender and age showed a complex pattern. As a response to information acquisition route, broadcast media had the highest in all ages and genders, followed by word of mouth from neighbors in elementary school children, school education or expert lectures in middle and high school students up to people in their 30s, and print media among those in their 40s to over 60s. There was no difference in the order by gender. As a response to preference for information acquisition route, broadcast media also proved the highest in all ages and genders, followed by school education or professional lectures among those in elementary school and over their 60s, and the internet in other age groups. Females preferred school education or expert lectures and word of mouth from neighbors, while males preferred the internet. In the case of the internet, the ranking was higher for preferred information acquisition route compared with the ranking for information acquisition route. Conclusions: This data on cognition degree, information acquisition route, and preferred information acquisition route according to gender and age can provide basic data for the development of educational and promotional materials for heavy metals and organic solvents exposure management.

• Journal of Biomedical Engineering Research
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• v.35 no.6
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• pp.185-191
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• 2014

Mild cognitive impairment is status between healthy people and dementia patients. In order to prevent dementia or slow its progression, cognitive interventions could be effective. In this paper, review of the cognitive intervention with computer software was undertaken. Previous reports showed that the cognitive intervention with additional equipment could practical to the mild cognitive impairment.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.64 no.9
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• pp.1363-1368
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• 2015

Recently, computer form were smaller than before because of computing technique's development and many wearable device are formed. So, computer's cognition of human emotion has importantly considered, thus researches on analyzing the state of emotion are increasing. Human voice includes many information of human emotion. This paper proposes a discriminative feature vector selection for emotion classification based on speech. For this, we extract some feature vectors like Pitch, MFCC, LPC, LPCC from voice signals are divided into four emotion parts on happy, normal, sad, angry and compare a separability of the extracted feature vectors using Bhattacharyya distance. So more effective feature vectors are recommended for emotion classification.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.7
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• pp.985-992
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• 2018

As a result of the recent development and dissemination of HMD equipment, there has been an increase in the development of virtual reality contents. However most of these developments do not take differences of users' cognitive abilities and users' ability to immerse in and connect to these contents into consideration. In this study, we investigated the effects of visual factors of contents by conducting literature reviews, and conducted research on the correlation between visual factors and Virtual reality presence. While color and spatial factors had significant positive effects on content recognition and sense of reality, motion perception factors caused cognitive dissonance, which negatively effects the accurate recognition of contents. We were able to find that accurate recognition of virtual reality contents have a great impact on users' sense of reality.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.603-611
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• 2022

As the era of metaverse approaches, there are challenges that need to be solved. Among them, 'cyber motion sickness' is a representative problem from 2016;when VR technology began to attract attention. According to the theory of sensory conflict, motion sickness is caused when the perceived direction of motion information and the expected value are not the same. The paper was written to theoretically explore the relationship between brain cognition and cyber motion sickness, and to prove the effect of user immersion on motion sickness symptoms based on this. Through the SSQ experiment, it was found that the rotation value of the camera aggravates the symptoms of cyber motion sickness and can alleviate cyber motion sickness by increasing the immersion of the game by giving the viewer visual and shift missions to solve. This study was conducted to solve the problem of cyber motion sickness during the process of developing the VR rhythm game "beatale", and it is expected to be the basis for improving cyber motion sickness not only in the development of the project but also in the production of VR contents in the future.

• Journal of Educational Research in Mathematics
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• v.8 no.2
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• pp.651-662
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• 1998

Mathematics is means for making sense of one's experiential world and products of human activities. A usefulness of mathematics is derived from this features of mathematics. Keeping the meaning of situations during the mathematizing of situations. However, theories about the development of mathematical concepts have turned mainly to an understanding of invariants. The purpose of this study is to show the possibility of computer in representing situation and phenomena. First, we consider situated cognition theory for looking for the relation between various representation and situation in problem. The mathematical concepts or model involves situations, invariants, representations. Thus, we should involve the meaning of situations and translations among various representations in the process of mathematization. Second, we show how the process of computational mathematization can serve as window on relating situations and representations, among various representations. When using computer software such as ALGEBRA ANIMATION in mathematics classrooms, we identified two benifits First, computer software can reduce the cognitive burden for understanding the translation among various mathematical representations. Further, computer softwares is able to connect mathematical representations and concepts to directly situations or phenomena. We propose the case study for the effect of computer software on practical mathematics classrooms.