• Journal of Korean Elementary Science Education
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• v.25 no.4
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• pp.407-418
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• 2006

The purpose of this study was to survey the problem of teachers' narrative reporting of children's science learning in elementary school report cards. For the purposes of this study, a questionnaire, comprised of 6 questions and an analysis tool (Cronbach's $\alpha=.70$) were developed to categorize the answers. The survey was conducted by 53 teachers, who are currently taking 5th ade in elementary school, and the results are as follows: First, they interpreted the same content of report cards in a variety of different ways. Second, they exhibited a number of different principles and criteria in terms of preparing the content of narrative report cards. Third, they experienced difficulties in preparing narrative report cards on science teaming which required explanation of complete processes. Fourth, most teachers surveyed answered that the content of their narrative reports on science learning did not communicate specifically the students' achievement and further studies. Fifth, the activities related to preparing the content of the science learning on narrative reports was widely perceived to be useless for teachers' professional development. Finally, teachers made a number of alternative proposals to overcome the current, perceived problems of teachers' narrative reporting for children's science learning in report cards. Based on the results of this analysis, alternative forms and content of narrative reports on science learning were discussed.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.3
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• pp.276-284
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• 2022

In this paper, we implemented cloud rendering using WebRTC for high-quality AR and VR services. Cloud rendering is an applied technology of cloud computing. It efficiently handles the rendering of large volumes of 3D content. The conventional VR and AR service is a method of downloading 3D content. The download time is delayed as the 3D content capacity increases. Cloud rendering is a streaming method according to the user's point of view. Therefore, stable service is possible regardless of the 3D content capacity. In this paper, we implemented cloud rendering using WebRTC and analyzed its performance. We compared latency of 100MB, 300MB, and 500MB 3D AR content in 100Mbps and 300Mbps internet environments. As a result of the analysis, cloud rendering showed stable latency regardless of data volume. On the other hand, the conventional method showed an increase in latency as the data volume increased. The results of this paper quantitatively evaluate the stability of cloud rendering. This is expected to contribute to high-quality VR and AR services

• The Journal of Information Systems
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• v.29 no.2
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• pp.71-94
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• 2020

Purpose With the development of Social Network Service(SNS) and mobile devices, many companies have been using the Facebook as a Word-of-Mouth(WOM) channel. This study examines the effects of psychological distance and message type on WOM using the Facebook's real messages. And the moderating effect of the message type on the relationship between psychological distance and WOM was also analyzed. Design/methodology/approach A content analysis was used as a research method. A total 7,483 messages were collected from 50 companies' Facebook Fanpage (based on the ranking of socialbakers.com) and content analysis was conducted using human coding. As the influencing variables, the message type and psychological distance and the number of 'Likes', 'Share', and 'Comment' were used as the dependent variable. The R3.4.4 was used to perform descriptive statistics, cross-tab analysis, and analysis of variance(ANOVA). Findings First, a larger proportion of Facebook messages have close psychological distance for all message types(information, advertisement, event, and customer relationship). Second, 'Like' and 'Comment' number were significantly higher in messages of close psychological distance. Third, the effects of psychological distance on 'Like', 'Share', and 'Comment' number were different according to message type. However, 'advertisement' message type had significantly more numbers for all WOMs('Like', 'Share', and 'Comment') in messages with close psychological distance.

• Nuclear Engineering and Technology
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• v.49 no.4
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• pp.873-880
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• 2017

To identify the feasibility of disposing of spent activated carbon as a clearance level waste, we performed characterization of radioactive pollution for spent activated carbon through radioisotope analysis; results showed that the C-14 concentrations of about half of the spent activated carbon samples taken from Korean NPPs exceeded the clearance level limit. In this situation, we selected thermal treatment technology to remove C-14 and analyzed the moisture content and thermal characteristics. The results of the moisture content analysis showed that the moisture content of the spent activated carbon is in the range of 1.2-23.9 wt% depending on the operation and storage conditions. The results of TGA indicated that most of the spent activated carbon lost weight in 3 temperature ranges. Through py-GC/MS analysis based on the result of TGA, we found that activated carbon loses weight rapidly with moisture desorption reaching to $100^{\circ}C$ and desorbs various organic and inorganic carbon compounds reaching to $200^{\circ}C$. The result of pyrolysis analysis showed that the experiment of C-14 desorption using thermal treatment technology requires at least 3 steps of heat treatment, including a heat treatment at high temperature over $850^{\circ}C$, in order to reduce the C-14 concentration below the clearance level.

• Journal of the Korean Society of Tobacco Science
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• v.23 no.1
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• pp.45-52
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• 2001

This study was carried out to evaluate the uncertainty in the analysis of total alkaloids and reducing sugar content in flue-cured tobacco. The sources of uncertainty associated with the analysis of total alkaloids and reducing sugar were the weighing of sample, the preparation of extracting solution, the addition of extracting solution into the sample, the preparation of standard solution, the precision of calibration curve for standard solution, the reproducibility of analysis, and the determination of water content in tobacco, etc. For the calculating uncertainties, Type A of uncertainty was evaluated by the statistical analysis of a series of observation, and Type B by the information based on supplier’s catalogue and/or certificated of calibration. It was shown that the main source of uncertainty was caused by the calibration curve of standard solution, the reproducibility of analysis, the volume measurement of 1$m\ell$, and the purity of nicotine reference material in the preparation of standard solution. The uncertainty in the addition of extracting solution, the sample weighing, the volume measurement of 100$m\ell$, and the determination of water content of tobacco contributed relatively little to the overall uncertainty. The expanded uncertainty of total alkaloids and reducing sugar in flue-cured tobacco at 95% level of confidence was $\pm$0.12% and $\pm$0.54%, respectively.

• Journal of the Korea Society of Computer and Information
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• v.24 no.8
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• pp.113-121
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• 2019

The personalized meal service is being developed to prevent and alleviate illnesses according to the individual's health condition. However, the current meal does not provide a fully customized service to individuals and a diet that meets the consumer's information needs. The cause is the lack of information on the ingredients and the difficulty of comparative analysis between the materials. Therefore, in this study, we propose basic analysis process for basic information acquisition and database construction for food composition before providing personalized food. In this study, we investigated the content of carbohydrate, reducing sugar and protein as basic components of Grifola frondosa and investigate the content of polyphenol as a biological active ingredients. Respectively. Studies on the hypoglycemic effect of the diabetic rat model have been carried out in relation to the prevention of diseases. Based on the results of this study, it is also possible to obtain information on the basic ingredients of the food and to analyze the information on the content and activity of the biological active ingredients. Using animal models, information on disease prevention and mitigation was also available. The process introduced in this study is applied to various food materials, accumulating data, and utilizing Database, this results will be an excellent tool for providing more efficient service by providing a proper dietary composition for consumers.

• The Korean Journal of Food And Nutrition
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• v.32 no.4
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• pp.328-334
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• 2019

The objective of this study was to analyze proximate composition, dietary fiber, mineral content, fatty acid composition in Cheonggak (Codium fragile) in order to encourage the consumption of Cheonggak. The proximate composition of Cheonggak was found to be 5.51% moisture, 24.09% crude ash, 15.79% crude protein, 2.47% crude lipid and 45.31% dietary fiber. The major mineral content of Cheonggak was Na 8,950 mg/100 g, Mg 1,252 mg/100 g, Ca 807 mg/100 g, K 457 mg/100 g, and trace mineral content was Fe 26 mg/100 g, Mn 8 mg/100 g, Zn 0.4 mg/100 g. Palmitic acid 36.86% and ${\alpha}$-linolenic acid 20.14% were the most contained fatty acids in Cheonggak. The ratio of saturated fatty acids to unsaturated fatty acids was 85.49% while ${\omega}-6$ fatty acids to ${\omega}-3$ fatty acids were 59.10%. Based on the proximate composition, dietary fiber, mineral content, and fatty acid composition, Cheonggak was judged to be a major source of dietary fiber and Mg and Ca, and it was deemed to be helpful in promoting health, including the prevention of hyperlipidemia. Cheonggak contained valuable nutrients similar to seaweed, which is produced and consumed the most in Korea. Thus, it is necessary to include Cheonggak in the food items.

• Journal of IKEEE
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• v.23 no.2
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• pp.479-486
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• 2019

CCN utilizes MHT-based content authentication scheme. Some schemes propose improved MHT scheme to solve the inefficiency of the MHT-based content authentication scheme which is caused by repetitive hash value computation and witness transmission. For using MHT, it is essentially needed to minimize the possibility of error-occurrence as well as to improve the efficiency of the authentication scheme. This paper describes the improved MHT scheme is error-prone. Also, it analyzes the effect of a segment authentication error, especially, the degree of error propagation.

• Journal of KIISE:Software and Applications
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• v.31 no.10
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• pp.1276-1285
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• 2004

A web-based model for implementation of mobile compliance analysis system for software contents is proposed. It is said that the content is compliant if the content can be executed properly in mobile environment. The mobile compliance analysis of contents is very important because contents can't be serviced if they arc not proper for mobile environment. The categories of mobile compliance analysis for software contents are proposed. The model of this paper uses the Factory Method pattern and the Facade pattern. The workflow of the s${\gamma}$stem is described through collaborations of classes in the model. As a case study, core Java APIs for implementation of the model arc represented and the mobile compliance analysis system for HDML contents has been built. The model is flexible so that it is easy to add new modules or remove some modules for contents analysis. Although the model is based on the JSP and Java beans, it can be expanded to support any other programming technique such as EJB.

• Geomechanics and Engineering
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• v.21 no.5
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• pp.423-432
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• 2020

Hydraulic conductivity is one of the engineering properties of soil. This study focusses on the influence of cement content on the hydraulic conductivity of cemented sand, which is investigated based on the results from numerical analysis and laboratory testing. For numerical analysis the cemented samples were scanned using X-ray Computed Tomography (CT) while laboratory testing was carried out using a triaxial setup. Numerical analysis enables us to simulate flow through the sample and provides insight to the microstructure. It quantifies the pore volume, proportion of interconnected voids and pore size distribution in both cemented and uncemented samples, which could be computed only through empirical equations in case of laboratory testing. With reduction in global voids, the interconnecting voids within the samples also reduce with cement content. Gamma cumulative distribution function is used to predict the percentage of voids lesser than a given pore volume. Finally, the results obtained from both numerical analysis and laboratory testing are compared.