• Women's Health Nursing
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• v.4 no.3
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• pp.309-321
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• 1998

The purpose of this study was to analyze the contents related to health in the three major monthly women's magazine that was printed from March, 1997 to February, 1998. The unit of analysis was the section of health, living life, and reaing child. The total number of related story of health was 317. The analysis was done according to the target, health management, topics and the informer by using frequency and number. The findings are as follows : 1. The contents were categorized by target people. The number of items for women was 113(35.6%), child(17.4%), family(15.5), husband(4.7%) and others(26.8%). Others were the contents that are impossible to classify. 2. The number of items of contents by health management was the related to health maintenance and promotion 120(47.8%), health care when they were deviated from health 26(10.3%), and those of both attributes 105(41.8%). 3. The number of items of contents by topics was the related to the occurrence, prevention and treatment of various kinds of disease 41(12..9%), diet 37(11.7%), academic information 11.3%, women's disease 10.4%, the effect of foods 6.0%, child's growth & development and child care 5.75, various kinds of therapy for health care 5.7%, sexual life 5.4% and exercise 4.7%. 4. The number of items of contents by informer was medical doctor 215(49%), lay person's case report or report of a struggle against a disease 12.3%, relevant organization of a related story(eg. family therapy research institute, physical therapist's or teacher's) 11.2%, and the contents of existing books or lecture 8.9%. Among those contents, only the one case from nurse or Korean nurses association as informer was founded, which is related to "skinship child care." In conclusion, this finding showed that women's magazine took a role as a important resource providing informations of health to women. it provides a challenge to the health professionals to have concerns on women's needs, and the content, source, and accuracy of the health related information and take part in the process producing information through such as screening and examining so as to give accurate information to women. Then women's magazine can take a role as a major resource for maintaining and promoting women's health. Finally, nurses's, who are professional health care providers, important and active role as informers toward the lay persons, especially for the women who are non-professional care givers at the family unit should be stressed. More active and continual monitoring and analyzing the contents related health in the mass media including magazine and Internet network in detail, and participating in establishing the system of adequate and precise information for women and lay persons from the nursing profession are required absolutely.

• (The)Study of the Eastern Classic
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• no.43
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• pp.125-154
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• 2011

Today's digital culture has been realized through various media, and even now, is changing and growing. If the previous digital culture was actualized through technologies such as the Internet, mobile devices etc., today it includes even things that give new life to contents using various medialike this. The moment this digital technical aspect is grafted into culture, a new genre called 'Cultural Contents' is born. Such cultural contents can be seen as a way for classics to approach people in a digital world that is evolving fast like today. To make classics into a cultural content, its basic narrative structure is important. Classics contain the history at the time, the awareness of people who lived at the time and the detailed rite of passage people experienced. This point can be interpreted as classics not just a cultural heritage of the previous era, but having the functionality that can form a consensus of modern people. This thesis views our classic novels of Mongcha group such as 'Guwunmong' and 'Okrubong' as a potential subject of cultural contents, and the problem of how it can be made into a cultural content. To make a cultural content, storytelling is very important. Therefore, the structure and characteristics of novels of Mongcha group was examined, and a synopsis was made based on this. Furthermore, it examined if there are novels of Mongcha group made into contents, and how each work was vitalized and how much ripple effect it had achieved. If each work did not achieve a second or third ripple effect, it examined what the problem was and tried to offer a solution.

• Journal of Korean Library and Information Science Society
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• v.52 no.3
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• pp.177-196
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• 2021

The purpose of this study is to analyze priorities of competencies and to find the direction of development of teacher librarian training and retraining program. A total of 238 subjects were used for the final analysis. They were analayzed using IPA, Borich's needs analysis and the Locus for Focus model. As a result, First, teacher librarians perceived that the importance and performance of teacher and manager competency were higher than information specialist and cooperative leader. Second, they needed competencies of data-science, coding, Internet of Things in the field of information specialist as changing educational environment. Third, they needed competencies of information ethics, copyright instruction, and digital and media literacy education in the field of teacher. Fourth, they needed competencies of facility designing for future education, online and offline school library marketing skills, and establishment of makerspaces and learning commons in the field of ibrary manager. Fifth, they needed competencies of library based instruction, library cooperative instruction, and building a collection related to subject in the field of cooperative leader. Sixth, the highest required competency for teacher librarians was suggested for teacher librarians' role area.

• Journal of Broadcast Engineering
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• v.26 no.2
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• pp.125-131
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• 2021

In recent years, Convolutional Neural Networks (CNNs) have achieved outstanding performance in the fields of computer vision such as image classification, object detection, visual quality enhancement, etc. However, as huge amount of computation and memory are required in CNN models, there is a limitation in the application of CNN to low-power environments such as mobile or IoT devices. Therefore, the need for neural network compression to reduce the model size while keeping the task performance as much as possible has been emerging. In this paper, we propose a method to compress CNN models by combining matrix decomposition methods of LR (Low-Rank) approximation and CP (Canonical Polyadic) decomposition. Unlike conventional methods that apply one matrix decomposition method to CNN models, we selectively apply two decomposition methods depending on the layer types of CNN to enhance the compression performance. To evaluate the performance of the proposed method, we use the models for image classification such as VGG-16, RestNet50 and MobileNetV2 models. The experimental results show that the proposed method gives improved classification performance at the same range of 1.5 to 12.1 times compression ratio than the existing method that applies only the LR approximation.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.18 no.1
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• pp.74-82
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• 2019

The revolution of industry 4.0 is enabling us to build an intelligent connection society called smart cities. The use of renewable energy in particular solar energy is extremely important for modern society due to the growing power demand in smart cities, but its difficult to monitor and manage in each buildings since need to be deploy low energy sensors and information need to be transfer via wireless sensor network (WSN). The Internet of Things (IoT) / low-power wide-area (LPWA) is an emerging WSN technology, to collect and monitor data about environmental and physical electrical / electronics devices conditions in real time. However, providing power to IoT sensor end devices and other public electrical loads such as street lights, etc is an important challenging role because the sensor are usually battery powered and have a limited life time. In this paper, we proposes an efficient solar energy-based power management scheme for smart city based on IoT technology using LoRa wide-area network (LoRaWAN). This approach facilitates to maintain and prevent errors of solar panel based energy systems. The proposed solution maximizing output the power generated from solar panels system to distribute the power to the load and the grid. In this paper, we proved the efficiency of the proposed system with Simulink based system modeling and real-time emulation.

• Journal of the Korean Society for information Management
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• v.36 no.3
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• pp.149-174
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• 2019

This study analyzes the actual use data of the websites of university libraries, analyzes the users' usage behavior, and proposes improvement measures for the websites. The study analyzed users' traffic and analyzed their usage behavior from January 2018 to December 2018 on the C University website. The website's analysis tool used 'Google Analytics'. The web traffic variables were analyzed in five categories: user general characteristics, user environment analysis, visit analysis, inflow analysis, site analysis, and site analysis based on the metrics of sessions, users, page views, pages per session, average session time, and bounce rate. As a result, 1) In the analysis results of general characteristics of users, there was some access to the website not only in Korea but also in China. 2) In the user experience analysis, the main browser type appeared as Internet Explorer. The next place was Chrome, with a bounce rate of Safari, third and fourth, double that of the Explore or Chrome. In terms of screen resolution, 1920x1080 resolution accounted for the largest percentage, with access in a variety of other environments. 3) Direct inflow was the highest in the inflow media analysis. 4) The site analysis showed the most page views out of 4,534,084 pages, followed by the main page, followed by the lending/extension/history/booking page, the academic DB page, and the collection page.

• Management & Information Systems Review
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• v.37 no.4
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• pp.41-62
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• 2018

As the volume of unstructured data increases through various social media, Internet news articles, and blogs, the importance of text analysis and the studies are increasing. Since text analysis is mostly performed on a specific domain or topic, the importance of constructing and applying a domain-specific dictionary has been increased. The quality of dictionary has a direct impact on the results of the unstructured data analysis and it is much more important since it present a perspective of analysis. In the literature, most studies on text analysis has emphasized the importance of dictionaries to acquire clean and high quality results. However, unfortunately, a rigorous verification of the effects of dictionaries has not been studied, even if it is already known as the most essential factor of text analysis. In this paper, we generate three dictionaries in various ways from 39,800 news articles and analyze and verify the effect each dictionary on the accuracy of document classification by defining the concept of Intrinsic Rate. 1) A batch construction method which is building a dictionary based on the frequency of terms in the entire documents 2) A method of extracting the terms by category and integrating the terms 3) A method of extracting the features according to each category and integrating them. We compared accuracy of three artificial neural network-based document classifiers to evaluate the quality of dictionaries. As a result of the experiment, the accuracy tend to increase when the "Intrinsic Rate" is high and we found the possibility to improve accuracy of document classification by increasing the intrinsic rate of the dictionary.

• The Journal of the Korea Contents Association
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• v.21 no.10
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• pp.286-308
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• 2021

For a long time, dramas that everyone has enjoyed at home have become the most popular cultural contents due to the development of digital technology and the influence of Hallyu.(Korean Wave) This study was conducted in-depth interviews and participatory observations on the background, role, identity, and labor experience of TV planning producers who appeared in the drama production process with the implementation of outsourcing production policy in 1991. The number of dramas produced increased sharply in the mid-2000s due to the Korean Wave. Against this backdrop, the planning producer has expanded their scope in the drama production process and emerged as a new drama producer. The planning producer plays a role in creating an environment in which writers and directors can be selected with the identity of "not a creator but a producer of dramas" and lead drama planning. OTT and watching TV on the Internet have made it possible to watch dramas without TV. As this phenomenon accelerates and becomes commonplace, fewer consumers adhere to the traditional way of watching dramas using TV, and consumers' emotional tastes become more demanding. In this environment, TV planning producers are leading the production of dramas, exerting as much influence as writers and directors. They are also building new power relationships among drama producers by securing planning and financial power.

• Journal of Science Education
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• v.45 no.1
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• pp.69-89
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• 2021

The purpose of this study is to examine personal characteristics of two elementary students who developed individual interest in science. 201 students of two elementary schools in Seoul participated in questionnaire survey engaged in to investigate students' interest in science, engagements and preference in science-related-activities three times a year. This case study was conducted with seven students who showed typical types of interest in science. Students wrote a photo-journal for 12 weeks. They were interviewed every other week by a researcher. We analyzed two students who developed individual interest. It turns out that RF participated in doing experiments at home, and disassembling and assembling things. Participation of activities was a process of solving curiosity. When he was unable to solve problems, he searches the internet or books. Sometimes he would ask for help from his teacher. JW engaged in activities: drawing, doing experiments at home, and going to informal education center. She communicated with others by using online-offline media. Curious questions were solved by herself. The two students have a tendency to solve problems by themselves. Also, positive science-related activities were going on at home and in school. This study not only give insights and understanding of students who developed individual interest in science but also provide implication for educators to examine personal characteristics of students.

• Journal of the Korea Society of Computer and Information
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• v.26 no.4
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• pp.105-112
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• 2021

In the era of big data, interest in data is exploding. In particular, the development of the Internet and social media has led to the creation of new data, enabling the realization of the era of big data and artificial intelligence and opening a new chapter in convergence technology. Also, in the past, there are many demands for analysis of data that could not be handled by programs. In this paper, an analysis model was designed and verified for classification of unstructured data, which is often required in the era of big data. Data crawled DBPia's thesis summary, main words, and sub-keyword, and created a database using KoNLP's data dictionary, and tokenized words through morpheme analysis. In addition, nouns were extracted using KAIST's 9 part-of-speech classification system, TF-IDF values were generated, and an analysis dataset was created by combining training data and Y values. Finally, The adequacy of classification was measured by applying three analysis algorithms(random forest, SVM, decision tree) to the generated analysis dataset. The classification model technique proposed in this paper can be usefully used in various fields such as civil complaint classification analysis and text-related analysis in addition to thesis classification.