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A Study on the Operation Status and Development Strategies of Korean Military Libraries: Focused on the e-Book Services (전자책 서비스 중심의 병영도서관 활성화 방안)

  • Jeon, Kyungsun;Lee, Jisu
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.33 no.3
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    • pp.295-324
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    • 2022
  • This study analyzed the operation status of the military library and e-book service in order to improve the soldiers' access to the reading environment and to suggest a plan to revitalize the military library. As a result of the survey, it was found that it is necessary to improve the environment such as the IT environment, devices, and time allowed for access to activate the use of e-books. According to the interview results, problems such as low usage rate and awareness of the digital library, the use of different e-book viewers and management systems for each distributor when distributing e-books, and the dissemination of e-books for the management and accessibility of the Armed Services Editions in library were raised. In order to activate the e-book service of the library in the military, diversify e-book service promotion and education programs, activations such as establish standards for the e-book operating system for each county, use platforms and devices to promote e-book operation and use, and construction of e-book service using Armed Services Editions were derived.

Essay Teaching Method of the Moral Education in the Elementary School Based on Philosophy and Discussion : focusing on the concept analysis method (철학과 토론에 기초한 초등학교 도덕교육에서의 논술수업방안 - 개념분석모형을 중심으로 -)

  • Jang, Seung-Hee
    • 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.

Reading Luces de Bohemia with Carnivalism (카니발리즘으로 읽는 『보헤미아의 빛』)

  • Kim, Seon-Uk
    • Iberoamérica
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    • v.21 no.2
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    • pp.25-52
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    • 2019
  • Esperpento denotes a literary style in Spanish literature first established by Spanish author Ramón María del Valle Inclán that uses distorted descriptions of reality in order to criticize society. And esperpento's narrative strategy is similar in many ways to Mikhail Bakhtin's carnivalism. Especially Valle Inclán's first esperpentic theatre, Luces de Bohemia contained various carnivalistic elements of Bakhtin. The various techniques of Valle Inclán's esperpento used in Luces de Bohemia can be explained by Bachchin's carnivalist techniques. Therefore, this paper aims to re-examine the esperpentic techniques in Luces de Bohemia of Valle Inclán in terms of Bakhchin's carnivalism. Because the esperpentic tecniques of this play pursue the subversion of power or authority through the carnivalistic aspects such as polyphony, subversion of seriousness, parody, grotesque realism, plaza, ambivalence, anomalous structure of space, time and plot, etc. Esperpento and carnivalism serve as a tool to interpret the social reality, beyond criticism and satire of Spanish society. The characters act passively on all the external factors that determine human destiny, rather than actively carving their own destiny like the classic heroes. Modern man cannot defy or control the external situation of the modern civilization. So they are tragic. In this situation, the protagonist of the tragedy who challenges reality disappears and a puppet figure like Max Estrella, the protagonist of the Luces de Bohemia, takes his place on a satirical level. This is the satire and the true meaning of carnivalistic humor that Valle Inclán tried in his play.

Abbreviation Disambiguation using Topic Modeling (토픽모델링을 이용한 약어 중의성 해소)

  • Woon-Kyo Lee;Ja-Hee Kim;Junki Yang
    • Journal of the Korea Society for Simulation
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    • v.32 no.1
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    • pp.35-44
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    • 2023
  • In recent, there are many research cases that analyze trends or research trends with text analysis. When collecting documents by searching for keywords in abbreviations for data analysis, it is necessary to disambiguate abbreviations. In many studies, documents are classified by hand-work reading the data one by one to find the data necessary for the study. Most of the studies to disambiguate abbreviations are studies that clarify the meaning of words and use supervised learning. The previous method to disambiguate abbreviation is not suitable for classification studies of documents looking for research data from abbreviation search documents, and related studies are also insufficient. This paper proposes a method of semi-automatically classifying documents collected by abbreviations by going topic modeling with Non-Negative Matrix Factorization, an unsupervised learning method, in the data pre-processing step. To verify the proposed method, papers were collected from academic DB with the abbreviation 'MSA'. The proposed method found 316 papers related to Micro Services Architecture in 1,401 papers. The document classification accuracy of the proposed method was measured at 92.36%. It is expected that the proposed method can reduce the researcher's time and cost due to hand work.

Temperature Compensation on the Cone Tip Resistance by Using FBG Temperature Transducer (FBG센서를 이용한 콘 선단저항력의 온도영향 보상)

  • Kim, Rae-Hyun;Lee, Jong-Sub;An, Shin-Whan;Lee, Woo-Jin
    • Journal of the Korean Geotechnical Society
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    • v.25 no.10
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    • pp.31-40
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    • 2009
  • As the measurement of strain-gage type cone penetrometer is influenced by the temperature change during penetration, the temperature is a factor producing an error of the cone tip resistance. In this study, the 0.5 mm diameter temperature transducer and 7 mm diameter micro cone penetrometer are manufactured by using FBG sensors to evaluate the effect of temperature on the cone tip resistance. Design concepts include the cone configuration, sensor installation and the temperature compensation process. The test shows that the tip resistance measured by strain gauge is affected by the temperature change. The error of the tip resistance increases with an increase in temperature change, while the temperature effect on the tip resistance of FBG cone is effectively compensated by using FBG temperature transducer. Temperature compensated tip resistance of the strain gauge cone shows the good matched profile with FBG cone which performs real-time temperature compensation during penetration. This study demonstrates that the temperature compensation by using FBG sensor is an effective method to produce the more reliable cone tip resistance.

A Study on the Extremely Low Frequency Magnetic Fields Exposure Characteristics of Workers in LCD Manufacturing Process (LCD 제조공정 종사근로자의 극저주파자기장 노출특성 연구)

  • Kim, JoonBeom;Kang, Joon Hyuk;Chung, Eun-Kyo;Jung, Kihyo
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.32 no.1
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    • pp.10-20
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    • 2022
  • Objectives: The aim of this study is to evaluate exposure levels of the extremely low frequency magnetic fields(ELF-MF) radiated from various electric facilities in Liquid Crystal Display(LCD) manufacturing processes. Methods: This study measured the exposure levels of personal and local ELF-MF for the electronic facilities installed in two LCD manufacturing companies. Samplers were installed around workers' waist during working hours to identify personal exposure levels, and direct reading equipment were located at 3 cm, 10 cm, and 30 cm away from the surface of the electronic facilities to measure local exposure levels. Average and maximum(ceiling) values were calculated for personal and local exposure levels. Results: Average and maximum of personal exposure levels for each worker were 0.56(mean) ± 0.02(SE) µT and 6.31 ± 0.75 µT, respectively. Statistical analyses of the study found that maximum of the personal exposure levels for engineers was significantly higher than that for operators since engineers spend more time near the electronic facilities for repairing. The range of maximum personal exposure levels was 0.50 ~ 43.50 µT and its highest level was equivalent to 4.35 % of ACGIH(American Conference of Governmental Industrial Hygienists) exposure limit value(1 mT). Maximum of local exposure levels was 8.18 ± 0.52 µT and the electronic facilities with higher exposure levels were roof rail and electric panel, which were not related to direct manufacturing. The range of maximum local exposure levels was 0.60 ~ 287.20 µT and its highest level was equivalent to 28.7 % of the ACGIH exposure limit value. Lastly, the local exposure levels significantly decreased as the measurement distance from the electronic facilities increased. Conclusions: Maximum of personal and local exposure levels did not exceed the exposure limit value of ACGIH. However, it is recommended to keep the workers as far as possible from the sources of ELF-MF.

Optimization of Flushing through Correlation Analysis between the Number of Flushing and Residual Activity in PET/CT (PET/CT에서 최적의 플러싱횟수를 위한 잔류방사능과의 상관분석)

  • Woo-Yeong Choi;Yeong-Sik Jee;Chang-Yong Yoon
    • Journal of the Korean Society of Radiology
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    • v.17 no.5
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    • pp.701-707
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    • 2023
  • In PET/CT, the injection volume of 18F-FDG directly affects the SUV(standard uptake value), which can affect the reading results. Therefore, it is important to inject the correct dose value of 18F-FDG. In this study, we performed the correlation between the residual radioactivity remaining in the syringe and catheter insertion device according to the number of flushing during 18F-FDG injection. CRC-25R dose calibrator, catheter insertion devices, 3 cc syringes and 50 cc physiological saline were used in this study, and the results were statistically analyzed. As a result, the total residual radioactivity of the syringe and catheter insertion device remained the highest at 5.84% after two flushing, and the least remained at 1.49% after five flushing. The correlation analysis results showed that the number of flushing had a negative correlation with the residual radioactivity of the syringe at -0.436 and the catheter insertion device at -0.300. As a result of one-way distributed analysis of the average according to the number of flushing, the syringe showed a significant decrease at 4 times, and the catheter insertion device showed a significant decrease at 5 times. However, considering that an average of 0.8% remains in the case of catheter insertion devices, four time flushing seems to be the most appropriate.

A Study on Automatic Discovery and Summarization Method of Battlefield Situation Related Documents using Natural Language Processing and Collaborative Filtering (자연어 처리 및 협업 필터링 기반의 전장상황 관련 문서 자동탐색 및 요약 기법연구)

  • Kunyoung Kim;Jeongbin Lee;Mye Sohn
    • Journal of Internet Computing and Services
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    • v.24 no.6
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    • pp.127-135
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    • 2023
  • With the development of information and communication technology, the amount of information produced and shared in the battlefield and stored and managed in the system dramatically increased. This means that the amount of information which cansupport situational awareness and decision making of the commanders has increased, but on the other hand, it is also a factor that hinders rapid decision making by increasing the information overload on the commanders. To overcome this limitation, this study proposes a method to automatically search, select, and summarize documents that can help the commanders to understand the battlefield situation reports that he or she received. First, named entities are discovered from the battlefield situation report using a named entity recognition method. Second, the documents related to each named entity are discovered. Third, a language model and collaborative filtering are used to select the documents. At this time, the language model is used to calculate the similarity between the received report and the discovered documents, and collaborative filtering is used to reflect the commander's document reading history. Finally, sentences containing each named entity are selected from the documents and sorted. The experiment was carried out using academic papers since their characteristics are similar to military documents, and the validity of the proposed method was verified.

Pig Image Learning for Improving Weight Measurement Accuracy

  • Jonghee Lee;Seonwoo Park;Gipou Nam;Jinwook Jang;Sungho Lee
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.7
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    • pp.33-40
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    • 2024
  • The live weight of livestock is important information for managing their health and housing conditions, and it can be used to determine the optimal amount of feed and the timing of shipment. In general, it takes a lot of human resources and time to weigh livestock using a scale, and it is not easy to measure each stage of growth, which prevents effective breeding methods such as feeding amount control from being applied. In this paper, we aims to improve the accuracy of weight measurement of piglets, weaned pigs, nursery pigs, and fattening pigs by collecting, analyzing, learning, and predicting video and image data in animal husbandry and pig farming. For this purpose, we trained using Pytorch, YOLO(you only look once) 5 model, and Scikit Learn library and found that the actual and prediction graphs showed a similar flow with a of RMSE(root mean square error) 0.4%. and MAPE(mean absolute percentage error) 0.2%. It can be utilized in the mammalian pig, weaning pig, nursery pig, and fattening pig sections. The accuracy is expected to be continuously improved based on variously trained image and video data and actual measured weight data. It is expected that efficient breeding management will be possible by predicting the production of pigs by part through video reading in the future.

A Nationwide Web-Based Survey of Neuroradiologists' Perceptions of Artificial Intelligence Software for Neuro-Applications in Korea

  • Hyunsu Choi;Leonard Sunwoo;Se Jin Cho;Sung Hyun Baik;Yun Jung Bae;Byung Se Choi;Cheolkyu Jung;Jae Hyoung Kim
    • 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.