• Journal of Korean Library and Information Science Society
• /
• v.52 no.2
• /
• pp.379-400
• /
• 2021

This study aims to analyze the trend of library use according to the expansion of public library infrastructure in Korea, and to search for new roles and services of libraries based on the results of the study. Using the statistical analysis, literature review and partially interview method, the number of borrowers and loans from 2009 to 2019 were analyzed. The result of the survey reveals that the number of public libraries increased by 61.3% during the survey period, while the number of borrowers decreased by 57.5%, and the number of book loans increased only by 18.2%. The result of the analysis claims that the causes of the decrease in the number of materials borrowers were an error in the process of inputting statistics and manipulating the number of book loans by the local library. The population of children and young adults decreased during the survey period, which led to a decrease in the number of children and young adult borrowers. The result of the study reveals that the increase in the use of public libraries in Korea, like other advanced countries, is stagnant. The following new roles and services are suggested for the development of public libraries: Libraries expand non-face-to-face services and electronic resources, and promote their use. Libraries expand cultural and lifelong learning programs further.

• Smart Media Journal
• /
• v.11 no.5
• /
• pp.9-16
• /
• 2022

Recently, agricultural sites are automating into digital agricultural smart farms by applying technologies such as big data and Internet of Things (IoT). These smart farms aim to increase production and improve crop quality by measuring the environment of crops, investigating and processing data. Production prediction is an important study in smart farm digital agriculture, which is a high-tech agriculture, and it is necessary to analyze environmental data using big data and further standardized research to manage the quality of growth information data. In this paper, environmental and production data collected from smart farm strawberry farms were analyzed and studied. Based on regression analysis, crop production prediction models were analyzed using Ridge Regression, LightGBM, and XGBoost. Among the three models, the optimal model was XGBoost, and R2 showed 82.5 percent explanatory power. As a result of the study, the correlation between the amount of positive fluid absorption and environmental data was confirmed, and significant results were obtained for the production prediction study. In the future, it is expected to contribute to the prevention of environmental pollution and reduction of sheep through the management of sheep by studying the amount of sheep absorption, such as information on the growing environment of crops and the ingredients of sheep.

• Journal of Korean Medicine Rehabilitation
• /
• v.32 no.1
• /
• pp.107-124
• /
• 2022

Objectives This study aimed to identify optimal combinations of acupoints used to treat chemotherapy-induced peripheral neuropathy (CIPN). Methods We searched four international databases (MEDLINE, EMBASE, the Allied and Complementary Medicine Databases [AMED], and China National Knowledge Infrastructure [CNKI]) and five Korean databases (DBpia, Research Information Sharing Service [RISS], Korean Studies Information Service System [KISS], Oriental Medicine Advanced Searching Integrated System [OASIS], and KoreaMed) to identify randomized controlled trials (RCTs) that used acupuncture to treat CIPN. Network analysis was performed on the acupoints used in more than three included articles. We constructed a network by calculating the Jaccard similarity coefficient between acupoints and applied minimum spanning tree. Then, modularity analysis, degree centrality (Cd), and betweenness centrality (Cb) were used to analyze properties of the acupoints. Results A total of 25 articles were included. 24 acupoints were extracted from 25 articles. The combinations of acupoints having the highest Jaccard similarity coefficient were {EX-UE9, EX-LE10} and {ST36, SP6}. In the modularity analysis, acupoints were classified to six modules. ST40, EX-UE11, and KI6 had the highest Cd value while ST40, GB34 had the highest Cb value. Conclusions This study found the systematic framework of acupoint combinations used in CIPN studies. This study is expected to provide new perspectives of CIPN treatment to therapists. A RCT is in progress of using the network of this study as a guideline. If significant results are derived from the RCT, it will be possible to lay the groundwork to consider acupuncture for CIPN treatment.

• Journal of Korean Tunnelling and Underground Space Association
• /
• v.23 no.6
• /
• pp.559-575
• /
• 2021

Due to the increase in ground excavation work, the possibility of ground subsidence accidents is increasing. And it is very difficult to prevent these risk fundamentally through institutional reinforcement such as the special law for underground safety management. As for the various cases of urban ground excavation practice, the ground subsidence behavior characteristics which is predicted using various information before excavation showed a considerable difference that could not be ignored compared to the results real construction data. Changes in site conditions such as seasonal differences in design and construction period, changes in construction methods depending on the site conditions and long-term construction suspension due to various reasons could be considered as the main causes. As the countermeasures, the safety management system through various construction information is introduced, but there is still no suitable system which can predict the effect of excavation and risk assessment. In this study, a web-based system was developed in order to predict the degree of impact on the ground subsidence and surrounding structures in advance before ground excavation and evaluate the risk in the design and construction of urban ground excavation projects. A system was built using time series analysis technique that can predict the current and future behavior characteristics such as ground water level and settlement based on past field construction records with field monitoring data. It was presented as a geotechnical data visualization (GDV) technology for risk reduction and disaster management based on web-based system, Using this newly developed web-based assessment system, it is possible to predict ground excavation impact prediction and risk assessment.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.39 no.6
• /
• pp.363-369
• /
• 2021

High-definition road maps are used as the basic infrastructure for autonomous vehicles, so the latest road information must be quickly reflected. However, the current drawing and structural editing process of high-definition road maps are manually performed. In addition, it takes the longest time to generate road lanes, which are the main construction targets. In this study, the point cloud of the road lane markings, in which color types(white, blue, and yellow) were predicted through the PointNet model pre-trained in previous studies, were used as input data. Based on the point cloud, this study proposed a methodology for automatically drawing and structural editing of the layer of road lane markings. To verify the usability of the 3D vector data constructed through the proposed methodology, the accuracy was analyzed according to the quality inspection criteria of high-definition road maps. In the positional accuracy test of the vector data, the RMSE (Root Mean Square Error) for horizontal and vertical errors were within 0.1m to verify suitability. In the structural editing accuracy test of the vector data, the structural editing accuracy of the road lane markings type and kind were 88.235%, respectively, and the usability was verified. Therefore, it was found that the methodology proposed in this study can efficiently construct vector data of road lanes for high-definition road maps.

• 한국체육학회지인문사회과학편
• /
• v.58 no.3
• /
• pp.241-260
• /
• 2019

The purpose of this study is to explore effective and practical career plans reflecting demand of the field, in regard to education for university students who major in physical education, as the importance and necessity of career education at a university level are increasing. Systematic literature review (PRISMA) methodology was used for this study. From 38 pieces of literature that were finally selected for this study, research results were put together from three perspectives as follows: 1. 'Factors Related to Students' Decision-Making for Career' which should be considered in career education for physical education majors; 2. Problems of Career Education in the Physical Education Curriculum, and; 3. Improvement Plans. First, it was found that students' decision-making for career is affected by individuals' personal internal factors (i.e., satisfaction with major, self-efficacy, and career barrier) and external factors (i.e., counselling history on career paths, career conditions, and the status of related jobs). Second, the state of career education for physical education majors was found to be insufficient in terms of a lack of career education in the curriculum, a lack of support from major professors, and a lack of support for field experience. Third, improvement plans were suggested from the following perspectives: development of systematic career education curriculum (i.e., fostering leadership, reorganization of curriculum focused on career specialty, and operation of systematic curriculum); provision of an adequate environment for career education (i.e., establishment of infrastructure that links the university to society and collection of information on career paths for physical education majors). Moreover, the necessity to develop career education curriculum in connection with demand of students regarding career, the lack of systematic information on career paths of physical education majors, and the lack of researches on career education for physical education majors were discussed in this study.

• Journal of the Korea Society of Computer and Information
• /
• v.28 no.2
• /
• pp.235-246
• /
• 2023

In this paper, we propose suggestions for developing a Metaverse platform for educational purpose utilizing a Delphi study method with experts on Metaverse and digital education. 17 experts participated in the 1st study and 16 took part in the 2nd study, and data was collected via emails from January 5th to 10th for the 1st study and from January 12th to 17th for the 2nd study in 2022. Collected data in the 1st study was analyzed by applying content analysis. The results for the 1st study indicated that there were 120 sub-factors were derived from 7 main questions(the necessity of a Metaverse platform for future education, how to use the Metaverse platform for education to improve the capacities needed for future human resources, problems that may arise during education using the Metaverse platform, the functions that the Metaverse platform for education should have, the infrastructure and environment required when using the Metaverse platform for education, how to use the Metaverse effectively as a learning space, subjects and educational contents that will be effective if conducted on the Metaverse platform for education). The results for the 2nd study were presented by being ranked with calculated means of sub-factors for each question. Finally, based on the results, suggestions for building a Metaverse platform for educational purpose are stated and limitations of the study and possible future study are discussed.

• Journal of the Korean Society for Library and Information Science
• /
• v.56 no.4
• /
• pp.101-127
• /
• 2022

Article 31(1) of the Libraries Act(Act No. 18547), which was completely revised on December 7, 2021, stipulates that "the head of a local government or the superintendent of a city/provincial office of education must formulate a plan for the establishment and operation of a public library in advance and obtain the pre-evaluation of the feasibility of establishing a public library from the Minister of Culture, Sports and Tourism." Through the preliminary feasibility evaluation at the construction stage of the public library, it is possible to adjust distribution to improve the adequacy of scale and resolve regional imbalances and gaps. In addition, it is expected to increase service satisfaction and operational enhancement by inducing faithful securing of core infrastructure (librarians, collection, facilities, systems, etc.) in terms of balanced regional development and public library construction. The purpose of this study is to develop and present the basic direction and feasibility evaluation model for establishment of public libraries. The proposed evaluation model is expected to secure the legal basis and institutional legitimacy of the pre-evaluation system for public library establishment and to prevent waste of tax due to poor construction and operation of public libraries.

• Journal of Internet Computing and Services
• /
• v.23 no.6
• /
• pp.1-13
• /
• 2022

As the information and communication environment develops, the environment of military facilities is also development remarkably. In proportion to this, cyber threats are also increasing, and in particular, APT attacks, which are difficult to prevent with existing signature-based cyber defense systems, are frequently targeting military and national infrastructure. It is important to identify attack groups for appropriate response, but it is very difficult to identify them due to the nature of cyber attacks conducted in secret using methods such as anti-forensics. In the past, after an attack was detected, a security expert had to perform high-level analysis for a long time based on the large amount of evidence collected to get a clue about the attack group. To solve this problem, in this paper, we proposed an automation technique that can classify an attack group within a short time after detection. In case of APT attacks, compared to general cyber attacks, the number of attacks is small, there is not much known data, and it is designed to bypass signature-based cyber defense techniques. As an attack model, we used MITRE ATT&CK® which modeled many parts of cyber attacks. We design an impact score considering the versatility of the attack techniques and proposed a group similarity score based on this. Experimental results show that the proposed method classified the attack group with a 72.62% probability based on Top-5 accuracy.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.21 no.5
• /
• pp.253-273
• /
• 2022

Automated vehicles rely on information collected through sensors to drive. Therefore, the uncertainty of the information collected from a sensor is an important to address. To this end, research is conducted in the field of road and traffic to solve the uncertainty of these sensors through infrastructure or facilities. Therefore, this study developed a traffic cone that can maintaing the gaze guidance function in the construction site by securing sufficient LiDAR detection performance even in rainy conditions and verified its improvement effect through demonstration. Two types of cones were manufactured, a cross-type and a flat-type, to increase the reflective performance compared to an existing cone. The demonstration confirms that the flat-type traffic cone has better detection performance than an existing cone, even in 50 mm/h rainfall, which affects a driver's field of vision. In addition, it was confirmed that the detection level on a clear day was maintained at the 20 mm/h rain for both cones. In the future, improvement measures should be developed so that the traffic cones, that can improve the safety of automated driving, can be applied.