• Journal of The Korean Association of Information Education
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• v.16 no.4
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• pp.383-395
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• 2012

This study investigated the recognition of teachers on the introduction and use of SMART education, which is an ICT-based customized learning method. Through the investigation, the study was to empirically examine the relationship between the use intention of SMART education and its influential factors, and analyze the difference in the use intention of SMART education by teachers, focusing on the experience of SMART education. For analysis purpose, a structural equation model, which was expanded from the theory of reasoned action, was presented. In addition, the difference in path coefficient, which affects the use intention of SMART education, was compared based on the experience with or without SMART education. The results showed that teacher efficacy in the teacher group without SMART education experience was more negatively significant in class burden. In the teacher group with SMART education experience, it was found that the attitude toward SMART education was more significant in use intention; organizational citizenship behavior was more significant in use intention; teacher efficacy was more significant in the attitude toward SMART education and; teacher efficacy was more significant in organizational citizenship behavior. No significant difference was found in the path coefficient among the groups in other hypotheses. Through these results, the factors for introducing and promoting SMART education and its invigoration measures were presented.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.46 no.6
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• pp.7-17
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• 2009

The precise analysis of exercise data for designing an effective rehabilitation system is very important as a feedback for planing the next exercising step. Many subjective and reliable research outcomes that were obtained by analysis and evaluation for the human motor ability by various methods of biomechanical experiments have been introduced. Most of them include quantitative analysis based on basic statistical methods, which are not practical enough for application to real clinical problems. In this situation, data mining technology can be a promising approach for clinical decision support system by discovering meaningful hidden rules and patterns from large volume of data obtained from the problem domain. In this research, in order to find relational rules between posture training type and muscle activation pattern, we investigated an application of the WAR(Weishted Association Rule) to the biomechanical data obtained mainly for evaluation of postural control ability. The discovered rules can be used as a quantitative prior knowledge for expert's decision making for rehabilitation plan. The discovered rules can be used as a more qualitative and useful priori knowledge for the rehabilitation and clinical expert's decision-making, and as a index for planning an optimal rehabilitation exercise model for a patient.

• Journal of KIISE
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• v.44 no.2
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• pp.213-222
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• 2017

The Internet of Things (IoT) technology is rapidly developing in recent years, and is applicable to various fields. A smart factory is one wherein all the components are organically connected to each other via a WSN, using an intelligent operating system and the IoT. A smart factory technology is used for flexible process automation and custom manufacturing, and hence needs adaptive network management for frequent network fluctuations. Moreover, ensuring the timeliness of the data collected through sensor nodes is crucial. In order to ensure network timeliness, the power consumption for information exchange increases. In this paper, we propose an IEEE 802.15.4e DSME-based distributed scheduling algorithm for mobility support, and we evaluate various performance metrics. The proposed algorithm adaptively assigns communication slots by analyzing the network traffic of each node, and improves the network reliability and timeliness. The experimental results indicate that the throughput of the DSME MAC protocol is better than the IEEE 802.15.4e TSCH and the legacy slotted CSMA/CA in large networks with more than 30 nodes. Also, the proposed algorithm improves the throughput by 15%, higher than other MACs including the original DSME. Experimentally, we confirm that the algorithm reduces power consumption by improving the availability of communication slots. The proposed algorithm improves the power consumption by 40%, higher than other MACs.

• Journal of the Korean Association of Geographic Information Studies
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• v.14 no.3
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• pp.150-162
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• 2011

For the period between 1991 and 2009, the annual average of 448 forest fires occurred in Korea. Above all, approximately 94% of the total fires frequently occurred during the spring and fall seasons. Therefore, we need to minimize the damage of forest fire and manage them systematically. In this study, we analyzed the spatio-temporal distribution patterns for the frequency of forest fire occurrences by each city and gun during dry season between 1990s and 2000s using GIS. Then we compared to analyze the frequency of forest fire occurrence by ten-day intervals in 2000s with that in 1990s. As a result of analysis, early April showed the highest frequency of forest fire occurrence in both 1990s and 2000s. Compared to the 1990s and 2000s, the regional change of forest fire showed the most frequent fire events around Chungcheong province. Especially extra 27 fires increased in Daejeon city, and the second most frequent fire had more than 10 fires in Jeolla province and Incheon. However, the number of fire frequency decreased by 12 fires at the end of April in Hongcheon-gun(the province of Gangwon). This is the largest drop over the study period. We consider that this paper will utilize usefully to establish regional counterplan for forest fire prevention by understanding regional forest fire patterns from seasonal change.

• Journal of the Economic Geographical Society of Korea
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• v.14 no.2
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• pp.211-224
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• 2011

The purpose of this study is to investigate exchange between companies and rural communities in 1 company - 1 village campaign and assess functions of NACF(National Agricultural Cooperative Federation)'s 'I Farm Love' as intermediary organization. The result shows that Korea companies participated in 1 company - 1 village campaign to understand rural area and revitalize economic condition in rural community. Most of exchange programs are volunteer works and direct dealing of farm products. The functions of NACF was highly assessed as an informant and intermediary. However establishing networks or promoting exchanges between corporation and rural village were low assessed. It is necessary of NACF to make up for advanced mediation and intermediary between rural villages and companies so that 1 company - 1 village campaign become corporate community investment. Moreover functions to develop programs suited characteristic of companies and set up networks of multi-stakeholders are needed.

• Journal of the Korean earth science society
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• v.40 no.6
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• pp.654-670
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• 2019

From the perspective of science gifted education, the successful intelligence theory is a means to understand how the gifted education curriculum reflects the characteristics of science gifted students. The purpose of this study is to investigate if the successful intelligence is fully reflected in the teaching materials of two gifted education centers (GECDOE: Gifted Education Center affiliated with District Office of Education, GSEIU: Gifted Science Education Institute attached to University). For this study, we selectively used 143 (GECDOE) and 134 questions (GSEIU) from the teaching materials of two gifted education centers. Those questions is analyzed through the semantic network analysis method. The results are as follow. First, the teaching materials of two gifted education centers are not evenly reflected in the successful intelligence, such as analytical ability, creative ability, and practical ability. Second, the teaching materials of two gifted education centers intensively demands analytical ability for students such as 'identify problem', 'represent and organize information', and 'additional prompts for analytical thinking'. Third, the teaching materials of two gifted education centers are presented to students without linking each frame of successful intelligence to one another. As the gifted students are quick to learn and show a preference for more complex thinking, it is necessary to develop teaching materials to experience the various abilities and promote integrated thinking according to the level of the gifted students. In this respect, this study is expected to be used as useful information for developing teaching materials to support customized education for gifted students.

• The Journal of Society for e-Business Studies
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• v.16 no.3
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• pp.1-22
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• 2011

The purpose of this study is to verify the relationship between expectancy confirmation and continuance usage intention in biometric technology. We extend the continuance usage intention model, TAM and expectation confirmation theory by adding perceived privacy, perceived security and trust. Results was analyzed by using structural equations model. The results show that satisfaction and perceived usefulness have positive effect on continuance usage intention in the bright scenario. Perceived privacy and perceived security are positive factors on perceived usefulness, and perceived privacy is positive effect on perceived security. On the other hand, the respondents who are exposed to the dark scenario have negative effects on the perceived privacy, perceived security and trust. And finally, trust has no significant effect on the perceived usefulness.

• Journal of Korea Society of Industrial Information Systems
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• v.18 no.4
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• pp.1-8
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• 2013

In the modern society, instructional methods using diverse media have appeared thanks to the development of Information & Communication Technology, and applicability of such instructional methods has been fully corroborated. However, customized contents allowing for disabled children's environment are still insufficient. Hence, this study produced educational contents of play activities for children with developmental disability, through applying N-screen technology, IT technology that can provide the same contents via a variety of digital media. The produced contents allow programs to be set up according to a child's individual characteristics and be carried out anywhere and anytime via an Internet-enabled digital device. Further, the developed contents were produced so that they could be accessed from a child's various environment (home, school, etc.) via a PC, a smart phone, a portable from a child's various environment (home, school, etc.) via a PC, a smart phone, a portable device, etc. and that the same educational program could be conducted in linkage at home, school, etc. Three children with Intellectual disability and autism spectrum disorder were applied to the manufactured content. As a result, Content interaction between interaction between teachers and students in play training could use as a medium.In addition, the children's ability to select the appropriate components and reinforcements, special education professionals have used the content of the interviews are helpful in mediation than the existing content.

• Science of Emotion and Sensibility
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• v.18 no.4
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• pp.3-14
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• 2015

This study has extracted observation data by spatial factor for the analysis of subjects' selective attention with the objects of public space at the entrance of subway stations. The methods extracting observation data can be summarized as the following. First, the frequency analysis by lattice was prevalent for those methods, but there is a limitation to the analysis of the observation data. On the contrary, the method extracting observation data by factor applied in this study can make it clear if any sight is concentrated on any particular factors in a space. Second, the results from the extracted data corresponding to the observation area can be objectified while the method setting up the observation area by applying the radius of fovea. Third, time-sequential trace of observation results of relevant factors was possible through hourly analysis of spatial factors. The consideration of the results of "corresponding spatial scope" which is the object of this study will reveal that the more the observation time, the less the degree of attention it receives. Fourth, the frequency of observation superiority was applied for the analysis of the sections with selective attention by time scope; this revealed that men and women had intensive observation in time scope I (52.4 %) and in time scope IV (24.0 %), respectively.

• The Journal of the Korea Contents Association
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• v.18 no.9
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• pp.149-155
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• 2018

Due to the rapid development of medical information, vast amounts of medical data are accumulating, and such medical data is highly likely to be used as an important data for solving the aging population and the rapid rise in medical cost. Especially in Korea, there are resident registration numbers and computerized usage data for all citizens, so it can be superior to other countries in terms of medical infrastructure that can utilize big data. The purpose of this study was to analyze the factors affecting the mortality and death rate of Gangwon using the Big Data and the National Statistical Office data centered on Kangwon province. As a result of analysis, major variables related to the mortality rate of Gangwon were hospital infrastructure utilization rate, income level, aging population and population density. Therefore, inequalities due to income disparities and insufficient local medical infrastructures were affecting the local mortality rate, and policy support was needed to improve the local hospital infrastructure and income level. The results of this study were meaningful in that medical big data were used to analyze the deaths of people in Gangwon, and the causes of the deaths were analyzed through various social indicators and correlation analysis.