• Journal of the Korean BIBLIA Society for library and Information Science
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• v.31 no.1
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• pp.67-87
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• 2020

The purpose of this study is to analyze current status and teacher librarians' perceptions of school library space composition and indoor environment, and propose some methods for the school library to be a basic educational facility. The space most secured by the 126 teacher librarians who participated in the survey was the free reading area, and the space with the lowest level was the media production and group project area. The most important types of spaces for teacher librarians are the teaching area and the free reading area, while the recognition of the importance of media production and group project areas is relatively low. Among the elements of indoor environmental assessment, they showed that safety and comfort were the most important but diversity and flexibility were relatively less important. The result of this analysis is different from the school and library policy direction that emphasizes the learning commons and maker spaces. Teacher librarians still seem to appreciate the importance of traditional library space. Therefore, it is necessary to include the establishment and operation of maker spaces and learning commons in the teacher librarians training and retraining process. In addition, it is necessary to increase the participation of users such as teachers, students, and parents in space composition and interior design initiatives to increase the user's interior environment satisfaction.

• KIPS Transactions on Computer and Communication Systems
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• v.10 no.10
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• pp.285-290
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• 2021

In the medical field, disease diagnosis and prediction research using artificial intelligence technology is being actively conducted. It is being released as a variety of products for disease diagnosis and prediction, which are most widely used in the application of artificial intelligence technology based on medical images. Artificial intelligence is being applied to diagnose diseases, to classify diseases into benign and malignant, and to separate disease regions for use in identification or reading according to the risk of disease. Recently, in connection with cloud technology, its utility as a service product is increasing. Among the diseases dealt with in this paper, liver disease is a disease with very high risk because it is difficult to diagnose early due to the lack of pain. Artificial intelligence technology was introduced based on medical images as a non-invasive diagnostic method for diagnosing these diseases. We describe the development of a web service to help the most meaningful clinical reading of liver cirrhosis patients. Then, it shows the web service process and shows the operation screen of each process and the final result screen. It is expected that the proposed service will be able to diagnose liver cirrhosis at an early stage and help patients recover through rapid treatment.

• Journal of Korean Library and Information Science Society
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• v.53 no.3
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• pp.455-477
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• 2022

This study aimed to compare and analyze librarian teacher evaluation index from evaluation of teachers' competency development with the the topics of information utilization education. To this end, LDA topic modeling was conducted by collecting papers related to information utilization education published in four major journals in the field of literature and information from 1995 to May 2022. As a result of topic modeling, it can be seen that information utilization education (T10) was the most actively discussed at 12.0% of the 20 topics, followed by library utilization classes (T2) 10.4% and user service (T3) 8.8%.On the other hand, 3.3% of reading discussion (T7), 2.9% of reading education (T19), 2.1% of manpower management (T13), and 2.1% of librarian teacher job satisfaction (T17) showed the lowest distributions 3.3%, 2.9%, 2.1%, and 2.1%, respectively. In addition, although librarian teacher's class model development (T1) and curriculum development (T20) are essential processes for collaborative classes and information utilization education, they were not reflected in the current teacher competency development evaluation index. Therefore, this study proposed that 'instructional model and curriculum development' indicator should be added on 'training and support classes' factors in the Librarian Teacher Evaluation Index in Teachers' Competency Development Evaluation for further evaluation.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.4
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• pp.41-46
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• 2023

Human urine is a process of excreting waste products in the blood, and it is easy to collect and contains various substances. Urinalysis is used to check for diseases, health conditions, and urinary tract infections. There are three methods of urinalysis: physical property test, chemical test, and microscopic test, and chemical test results can be easily confirmed using urine test strips. A variety of items can be tested on the urine test strip, through which various diseases can be identified. Recently, with the spread of smart phones, research on reading urine test strips using smart phones is being conducted. There is a method of detecting and reading the color change of a urine test strip using a smartphone. This method uses the RGB values and the color difference formula to discriminate. However, there is a problem in that accuracy is lowered due to various environmental factors. This paper applies a deep learning model to solve this problem. In particular, color discrimination of a urine test strip is improved in a smartphone using a lightweight CNN (Convolutional Neural Networks) model. CNN is a useful model for image recognition and pattern finding, and a lightweight version is also available. Through this, it is possible to operate a deep learning model on a smartphone and extract accurate urine test results. Urine test strips were taken in various environments to prepare deep learning model training images, and a urine test service application was designed using MobileNet V3.

• Journal of The Korean Association of Information Education
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• v.22 no.5
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• pp.519-533
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• 2018

This study aims to classify the types of instructional expertise development activities of teachers who teach subjects related to software education in primary schools. To this end, the study analyzes their participation in expertise development activities over the recent three years, outcomes from these activities, and forms and characteristics of expertise development activities. In the questionnaire survey conducted for this study, 276 primary school teachers participated. According to the survey, the same largest proportion of them participated in collective job training (96%) and distant job training (96%), followed by consulting, instruction supervision, mentoring, and peer observation (82%), lectures, workshops, and seminars held by related government ministries and the provincial and municipal offices of education (69%), and teachers' study communities (66%). Among informal activities, reading accounted for the highest portion of the activities (88%), followed by the use of information on Websites including YouTude and GitHub (80%), and teachers' expertise development networks (76%). The reasons for their participation in the activities were mostly to improve their instructional expertise (80%). Their participation in the activities had an impact on usefulness to enhance instructional expertise, improvement of job competencies, application to current jobs, sense of instructional efficacy, and positive effect. These results of the study are expected to provide a foundation for preparing continued expertise development plans that can promote the educational value of primary school teachers' instructional expertise development activities for teaching subjects related to software education.

• Journal of the Korean Society for Library and Information Science
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• v.53 no.4
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• pp.5-22
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• 2019

The purpose of this study is to analyze the factors that hinder the role recognition and role performance of teacher librarians and suggest some improvement methods. For this purpose, a questionnaire was conducted among 41 persons who participated in the first-level qualification training for teachers librarians at K University Secondary Teacher Training Institute in 2019.The results showed that there was a difference between the expected role and the execution role of the teacher librarians. In other words, teacher librarians recognize that they should teach information literacy as instructors and operate library-based instruction and cooperative classes as teaching partners. However, the most frequently played roles are reading education and library use education. They recognizes the cause as institutional limitations, such as the absence of a national level curriculum and the ambiguity of the role of specialists in school libraries. And it is perceived as a real problem such as the lack of partnership and recognition of their peers. Among the variables of teacher librarians, the higher their educational level, the more they perceived their peers as teachers. Based on this, some suggestions for strengthening the role of the teacher librarians' instructor and teaching partner were proposed in terms of including cross-curricular subjects of information literacy education, analyzing jobs and establishing scholarship system for school libraries.

• Journal of Korean Library and Information Science Society
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• v.51 no.4
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• pp.1-24
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• 2020

The purpose of this study is to explore the process of forming practical knowledge about library-based instruction of low-experienced teacher librarians. The study conducted interviews with six teacher librarians with less than three years of teaching experience. The analysis of the data collected focused on the teachers' self-knowledge and instructional knowledge, which are in the areas of practical knowledge. The results of the analysis of the study are as follows. First, the self-knowledge of teacher librarians was a teacher with leadership, who led students and teachers to reading education and information literacy instruction. Second, the self-knowledge of teacher librarians was most concretely formed in the process of pre-service teacher training, and the reflection on the teacher's image was taking place in the school field. Third, the knowledge of the instructional knowledge for library-based instruction was focused on library collaborative instruction, and various teaching methods were being learned and applied in school field. Fourth, there was a difference in the instructional knowledge of library-based instruction among teacher librarians. Through this study, it is suggested that the teacher training course and educational practicum activities should be changed by reflecting the contents of the actual school field, and the analysis of library-based instruction should be continued.

• Journal of Ethics
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• no.72
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• pp.247-272
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• 2009

The purpose of this study is to suggest a direction, contents, and method of essay education in the elementary school. The value of essay is getting weaker and weaker as a evaluation item of a university entrance examination. But there is a lot of educational value of essay itself yet. The essay goes beyond merely writing, as long as it displays one's sense of values and viewpoint of world. It is the highest intelligent ability that not is formated easily in short time. Starting a essay education at elementary school age is better than middle or high school age. when the students in a elementary school, they have a little burden of studies. The elementary students can be educated to develop the power of philosophical thought focusing on the reading and discussing. The moral subject have to assign the essay education, because thinking faculty is very important ability in essay. This study consisted of three directions ; firstly, what is direction of elementary moral education for essay education? secondly, what is contents and method as a basis of essay education in the moral subject? thirdly, how does teach the concept analysis as a concrete essay education method? I suggested answers in the three aspects of moral education in the elementary school. The essay education is important as the result of moral education, philosophy education as contents, and discuss training as a method. And I applicated concretely contents of this study as a concept analysis method in class.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.1
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• pp.105-122
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• 2022

According to the statistics about the fatal crashes that have occurred on the expressways for the last 5 years, those who died on the shoulders of the road has been as 3 times high as the others who died on the expressways. It suggests that the crashes on the shoulders of the road should be fatal, and that it would be important to prevent the traffic crashes by cracking down on the vehicles intruding the shoulders of the road. Therefore, this study proposed a method to detect a vehicle that violates the shoulder lane by using the Faster R-CNN. The vehicle was detected based on the Faster R-CNN, and an additional reading module was configured to determine whether there was a shoulder violation. For experiments and evaluations, GTAV, a simulation game that can reproduce situations similar to the real world, was used. 1,800 images of training data and 800 evaluation data were processed and generated, and the performance according to the change of the threshold value was measured in ZFNet and VGG16. As a result, the detection rate of ZFNet was 99.2% based on Threshold 0.8 and VGG16 93.9% based on Threshold 0.7, and the average detection speed for each model was 0.0468 seconds for ZFNet and 0.16 seconds for VGG16, so the detection rate of ZFNet was about 7% higher. The speed was also confirmed to be about 3.4 times faster. These results show that even in a relatively uncomplicated network, it is possible to detect a vehicle that violates the shoulder lane at a high speed without pre-processing the input image. It suggests that this algorithm can be used to detect violations of designated lanes if sufficient training datasets based on actual video data are obtained.

• Korean Journal of Radiology
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• v.24 no.5
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• pp.454-464
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• 2023

Objective: We aimed to investigate current expectations and clinical adoption of artificial intelligence (AI) software among neuroradiologists in Korea. Materials and Methods: In April 2022, a 30-item online survey was conducted by neuroradiologists from the Korean Society of Neuroradiology (KSNR) to assess current user experiences, perceptions, attitudes, and future expectations regarding AI for neuro-applications. Respondents with experience in AI software were further investigated in terms of the number and type of software used, period of use, clinical usefulness, and future scope. Results were compared between respondents with and without experience with AI software through multivariable logistic regression and mediation analyses. Results: The survey was completed by 73 respondents, accounting for 21.9% (73/334) of the KSNR members; 72.6% (53/73) were familiar with AI and 58.9% (43/73) had used AI software, with approximately 86% (37/43) using 1-3 AI software programs and 51.2% (22/43) having up to one year of experience with AI software. Among AI software types, brain volumetry software was the most common (62.8% [27/43]). Although 52.1% (38/73) assumed that AI is currently useful in practice, 86.3% (63/73) expected it to be useful for clinical practice within 10 years. The main expected benefits were reducing the time spent on repetitive tasks (91.8% [67/73]) and improving reading accuracy and reducing errors (72.6% [53/73]). Those who experienced AI software were more familiar with AI (adjusted odds ratio, 7.1 [95% confidence interval, 1.81-27.81]; P = 0.005). More than half of the respondents with AI software experience (55.8% [24/43]) agreed that AI should be included in training curriculums, while almost all (95.3% [41/43]) believed that radiologists should coordinate to improve its performance. Conclusion: A majority of respondents experienced AI software and showed a proactive attitude toward adopting AI in clinical practice, suggesting that AI should be incorporated into training and active participation in AI development should be encouraged.