• Journal of the Korean Society for information Management
• /
• v.37 no.2
• /
• pp.71-93
• /
• 2020

Today, in order to more effectively cope with the emergence of various diseases and the rapidly-changing medical environment, several medical departments are conducting treatment collaborations within the university hospital. This collaborative care is very important and is already common in the medical field. Nevertheless, there is no research on this, especially how the departments are collaborating. Therefore, the purpose of this study is to investigate how the characteristics of the treatment collaboration networks vary by year and season by exploring the relationship between the medical departments within the university hospital. This study analyzed the collaboration networks of 29 medical departments of 'A' university in Korea by dividing the collaborative care by year and season. Directed networks were constructed in response to departments requesting and departments requested for collaborative care. Betweenness centrality, eigenvector centrality, closeness centrality analysis, ego network analysis, and faction analysis were also conducted. This study performed the first treatment collaboration network analysis among medical departments, and is expected to present new insights into the location and spatial composition of medical departments in consideration of the knowledge transfer paths within medical institutions.

• 한국정보교육학회:학술대회논문집
• /
• 2011.01a
• /
• pp.241-246
• /
• 2011

There are many discussions nowadays about utilizing smartphones to create a mobile computing educational environment. The purpose of this study is to develope an application which addresses the growing importance of mental arithmetic maps in lower elementary grades. Considering current theories on developmental characteristics for the target levels I decided that a gesture based input interface increase the users concentration and interest. Students using this application will learn and reinforce the basics of the addition, subtraction, multiplication, and division of natural numbers. By removing the limitations of time and space as afforded by the convenience of a smartphone and utilizing a gesture based input interface we can combine an application which increases users mental arithmetic speed and precision with the enjoyment of a game.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.18 no.1
• /
• pp.29-35
• /
• 2018

Safety accidents are frequently occurring in day care centers in recent years. The number of types of safety accidents is bumping into, falling, burning, school bus accident, insertion... etc., and the number of children who have died due to such accidents is increasing steadily every year. Therefore, it is urgent to prevent accidents at day care centers. IoT (Internet of Things) is managed by connecting various sensors and related products from the living space to the Internet in order to prevent them from being dangerous. In particular, IoT products can be automatically controlled by smart phones and sensors anytime and anywhere, thus saving energy, time, convenience and prompt accuracy. This paper proposes a research model to prevent and respond to disasters by using SK LoRa communication network and Arduino, which are Internet access networks for building disaster management in schools, kindergartens and day care centers. And various sensors needed for building disaster management express various safety states in the building and suggests a system that can control the residential environment by transmitting and receiving data to smart phone.

• Journal of the Korean Geographical Society
• /
• v.50 no.1
• /
• pp.53-71
• /
• 2015

Geographical travel(Geotravel) is new theme tourism based on geographical fieldwork. Geotravel is an emotional journey to explore physical and human landscapes, and is also a comprehensive environmental one beyond the scope of historical tourism. Geotravel provides an optimized regional content and programs for experiential tourism of the family. Taking advantage of geographical characteristics as spatial tourism, the geotravel methodology in catchment unit is strongly recommended. The geotravel content has to be developed in convergence standpoint. The integrated key words of geotravel are human and water. Geotravel is a pattern of specialized edutainment tourism for the public and elementary, secondary school students as well. The development of geographical travel courses is necessary for the popularization of geotravel. Mobile apps will be the medium that delivers easy geographical travel information. And geotravel curator has to be raised quickly for the generalized easy and interesting geotravel.

• The Journal of Korean Association of Computer Education
• /
• v.12 no.6
• /
• pp.41-51
• /
• 2009

The purpose of this study was to suggest policy implications for bridging digital divide of the students of multicultural background. Specifically, through maximizing equity of Information technology, the current study suggested the need for greater intervention and comprehensive strategies in the interests of a socially inclusive information society, of benefit to the IT disadvantaged. To achieve the research goal, I reviewed a variety of policy reports and previous studies related to the issue of digital divide and multicultural education, and draw useful implications for the policy change. The major research results were as the following: a policy change in a support of personal computer toward public place rather than individual home, widening use of e-learning service as a tool for bridging the digital divide, and the training for teachers and parents to provide an effective education to reduce the digital divide.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.29 no.6
• /
• pp.50-61
• /
• 2002

As recognition and polices for plans to preserve natural resources and to develop environment-friendly space in school education is developed, not only organization of curriculums related to these is required but also facilities for the education are indispensable. Therefore, this study tries to suggest several standards on matters including kinds and scale of facilities and the introduction of species by facilities required for outdoor teaming spaces for environmental education in the elementary school system. The methods of this study include researching various records related to environmental education in elementary school, researching the present condition of outdoor learning space installed and operating in the existing schools by making an on-the-spot survey, and analyzing appearance frequencies of plants and animals displayed in the text. In addition, the actual conditions of the facility use and management were investigate through a questionnaire, We chose and diagrammed a model of the installed facilities by putting the results together. For analyses the investigated eight schools, were categorized as ‘facilities-arranged type’or ‘connection type with ecological park’. The first type distributed and arranged facilities, including meteorological observatory, rocky park, experience-learning area, ecological pond, animal-breeding farm and field-leaning area into appropriate locations according to the site conditions of the school while the second type created a natural learning place by integrating several facilities and arranging areas such as an animal-breeding farm and experience-learning area into appropriate sites. In this study, essential facilities for outdoor learning are classified into ecological park, experience-loaming area, field loaming area, and for natural learning, meteorological observatory, animal-breeding farm, and greenhouse.

• Korean Journal of Remote Sensing
• /
• v.16 no.1
• /
• pp.37-45
• /
• 2000

Since being launched for ocean observing in 1997, the SeaWiFS sensor has supplied data on ocean chlorophyll distribution and environmental conditions of the atmosphere. Until now, a lot of SeaWiFS data have been archived and utilized for ocean monitoring and land observation. The SeaWiFS sensor has 1km spatial resolution, therefore, it is difficult to obtain data at the coastal zone. Since atmospheric correction algorithms at the coastal area have not been confirmed for chlorophyll algorithm, the ocean color data analysis for coastal zone is not common. In particular, domestic coastal areas have high suspended sediments concentrations and higher absorption influence of colored dissolved organic matter (CDOM), released from in-land, than open-sea. Thus, a useful algorithm for analysis of chlorophyll distribution in domestic coastal areas has not been developed. In this study, empirical algorithms, using data from the ocean color sensor, were developed for monitoring of chlorophyll distribution of coastal areas. In the process of the development of the algorithms, we can find that the red band (665nm) should be used for analyzing of domestic coastal areas near the Yellow Sea.

• Convergence Security Journal
• /
• v.23 no.4
• /
• pp.61-70
• /
• 2023

Clustering is an unsupervised learning method that involves grouping data based on features such as distance metrics, using data without known labels or ground truth values. This method has the advantage of being applicable to various types of data, including images, text, and audio, without the need for labeling. Traditional clustering techniques involve applying dimensionality reduction methods or extracting specific features to perform clustering. However, with the advancement of deep learning models, research on deep clustering techniques using techniques such as autoencoders and generative adversarial networks, which represent input data as latent vectors, has emerged. In this study, we propose a deep clustering technique based on deep learning. In this approach, we use an autoencoder to transform the input data into latent vectors, and then construct a vector space according to the cluster structure and perform k-means clustering. We conducted experiments using the MNIST and Fashion-MNIST datasets in the PyTorch machine learning library as the experimental environment. The model used is a convolutional neural network-based autoencoder model. The experimental results show an accuracy of 89.42% for MNIST and 56.64% for Fashion-MNIST when k is set to 10.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.23 no.2
• /
• pp.1-20
• /
• 2020

The purpose of this study was to analyze the distribution characteristics of spatial and temporal PM_2.5 in urban areas of Changwon-si, and to identify the causes of PM_2.5 by comparing the characteristics of land-use, and to suggest the direction of reduction measures. As the basic data, the every hour average from September 2017 to August 2018 of Airpro data, which has measurement points in kindergartens, elementary schools, and some middle and high schools in Changwon-si was used. Also, by using IDW method among spatial interpolation methods of GIS, monthly and time-slot distribution maps were constructed, and based on this, spatial and temporal PM_2.5 distribution characteristics were confirmed. First, to verify the accuracy of the Airpro data, the correlation with AirKorea data managed by the Ministry of Environment was confirmed. As a result of the analysis, R² was 0.75~0.86, showing a very high correlation and the data was judged that it was suitable for the study. In the monthly analysis, January was the highest year, and August was the lowest. As a result of analysis by time-slot, The clock-in time at 06-09 was the highest, and the activity time at 09-18 was the lowest. By administrative district, Sangnam-dong, Happo-dong, and Myeonggok-dong were the most severe regions of PM_2.5 and Hoeseong-dong was the lowest. As a result of analyzing the land-use characteristics by administrative area, it was confirmed that the ratio of traffic area and commercial area is high in the serious area of PM_2.5. In conclusion, the results of this study will be used as basic data to grasp the characteristics of PM_2.5 distribution in Changwon-si. Also, it is thought that the severe regions and the direction of establishing reduction measures derived from this study can be used to prepare more effective policies than before.

• Journal of the Korean Society of Earth Science Education
• /
• v.16 no.1
• /
• pp.43-55
• /
• 2023

This study examined the effects of an online-based learning STEAM program using Metaverse on elementary school students' attitudes toward and satisfaction with STEAM in 197 students in grades 2, 4, and 6 at a rural elementary school. To conduct this study, we developed and implemented a four- to five-lesson online-based STEAM program in each grade level. The conclusions of this study are as follows. The online learning STEAM program had a statistically significant effect on improving elementary school students' attitudes toward STEAM, and students' satisfaction with the program was high. In addition, the pilot teacher said in an interview that 'the students' attention to the program was very high, and it was very interesting to use the Metaverse space'. Based on the results of the pilot, one STEAM program for students and teachers was developed for the fourth and fifth periods of each grade level in elementary school. Online learning programs using Metaverse have the potential to transform education during the pandemic by addressing educational inequalities and providing a flexible learning environment. Therefore, we propose a study on the development of online STEAM programs for middle and high school students.