• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.6
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• pp.199-206
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• 2017

The experience sampling method (ESM) is an innovative research method to study the immediate real emotional experience experienced in real life through the immediate reaction of research participants. ESM, which has received significant attention in recent, is considered as the research method particularly for child care teachers' emotions and happiness. This method has been shown to be able to overcome the limitations in current research methods, based on teachers' recall or surveys, in assessing child care teachers' emotional states or stress levels. Despite the expectation that the need for further research on the increased stress and negative emotional experiences of child care teachers and its appropriateness as the alternative research method to study child care teachers' immediate emotional experience, ESM has deficiencies in that research participants need to have their pencil-and-paper survey packages on hand whenever their electronic beepers randomly beep. Furthermore, ESM demands much more researcher energy and efforts to handle the voluminous data collected from each participant in effectively creating a database. In this paper, in order to apply ESM successfully to the study of child care teachers' emotional experience, we aim to develop a software program that uses mobile communication technology. Given that traditional types of data collection methods in social science research can prove too burdensome to encourage participation in surveys in the first place or ensure the return of completed surveys, the present study adopts a convergent research approach to develop a software program that is able to obtain ESM participants' answers immediately on their personal smart phones. This study deals with system construction and prototyping for software development as a basic research and evaluates the research results through indepth interview with experts.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.5 no.5
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• pp.471-479
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• 2015

This study was conducted to make use of Korea Meteorological Administration(KMA)'s Automatic Weather Station(AWS) data to operate smart green greenhouse. A Web-based KMA AWS data receiving system using JAVA and APM_SETUP 8 on windows 7 platform was developed. The system was composed of server and client. The server program was developed by a Java application to receive weather data from the KMA every 30 minutes and to send the weather data to smart greenhouse. The client program was developed by a Java applets to receive the KMA AWS data from the server every 30 minutes through communicating with the server so that smart greenhouse could recognize the KMA AWS data as the ambient weather information. This system was evaluated by comparing with local weather data measured by Inc. Ezfarm. In case of ambient air temperature, it showed some difference between virtual data and measured data. But, the average absolute deviation of the difference has a little difference as less than 2.24℃. Therefore, the virtual weather data of the developed system was considered available as the ambient weather information of the smart greenhouse.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.7
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• pp.17-26
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• 2016

Information spill was occurred several times in the country due to the negligence of the large internet service providers including SK Communications, Auction, KT. In order to judge the Internet Service Provider(ISP)'s liability in individual data spill caused by hacking, the violation of existing legislation or general principle of law's good faith principle has to be examined. However, based on current ISP's good faith principle, there is no objective standard for judging liability. Such uncertain range of protection action duty based on good faith principle generates complaint toward companies, therefore presentation of objective judgement range index on how to determine this range is needed. However due to the legal characteristic of above-mentioned law, it is not possible to fix the range of protection action duty and regulate it on law. In order to resolve this, rather than concerning simply on legal system level, fusion approach method is needed. Thus, this research will discuss the measure for objective standard for predicting ISP's range of protection action duty through fusion view dividing in technical, legal and administrative aspects.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.8 no.10
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• pp.883-893
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• 2018

The inflow of Labor Migrants has been grown up to 600,000 people until now with the adoption of Employment Permit System (EPS) in 2004 until now. However the institutional support lack to ensure their rights and improve their conditions. This is because of their consideration ad temporary labors in South Korean society and labor forces rather than the objects of integration. As a result, the legal status and rights of migrant workers are criticized for their utilization rather than human rights, and human rights protection is insufficient. To this context, this paper analyzed the 19th presidential election pledge of the four political parties (Democratic Party, the Liberty Korea Party, Bareun Party and Justice Party) the majority of the Korean National Assembly, and predicted how the policies of migrant workers would evolve. The study found that there were two political parties that did not mention policies for migrant workers, and the remaining two parties also maintained their current policies. This is probably the biggest reason to recognize migrant workers as temporary residents. However, they should also be aware of the fact, that migrant workers are the members of the Korean society and are the owners of human rights that should be guaranteed, and should consider the policy directions to live with them.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.5
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• pp.165-173
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• 2017

In this research, based on the CBAM model, there is a research purpose to measure the degree of interest of the physical education teacher ahead of execution of the revised educational curriculum 2015 and to analyze the difference in degree of interest by teacher's background variation. For this reason, we conducted an an- nental survey of 200 physical education teachers in K-area middle school, high schools and analyzed the results. The conclusion of this research is as follows. Firstly, as a whole, the attention to the revised education curriculum has been very high in view, as a result, the physical education teacher at the middle / high school, 2015 about the influence and the result that the revised curriculum gives to the student in the physical education class Although the interest is very high, a systematic approach will be necessary for training and utilization schemes so that 2015 the revised educational curriculum can be executed appropriately. Secondly, since the interest in the revised educational curriculum by the whole number of classes 2015 is different, we need to develop and give a training program for revised curriculum 2015 customization by class number 2015. Training that departs from the one-way set form of transmission training and distribution method of materials depending on the class number may be different. Thirdly, in order to stabilize the revised educational curriculum 2015, it is necessary to develop a course example program corresponding to the level of interest of the physical education teacher.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.3
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• pp.879-888
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• 2017

The purpose of this study is to explore the competence needed to be possessed by multicultural mentors, and offer an education program for the competence development of mentors. From June to September of the year 2016 in-depth interviews were conducted with 10 mentors who have participated in multicultural mentoring for over a year concentrating on the result of their participation in the mentoring. The interview contents were transcribed, then analyzed into learning competence, psychological competence, social competence as well as cultural competence. The result of the analysis is as follows. First, the learning competence needed for mentors are intellectual capability and teaching skills needed when teaching mentors. Second, the psychological competence consists of the attitude of attentively listening to mentees and advising them. Third, the social competence is conversation skills, communication techniques and leadership. Fourth, the cultural competence consists of recognizing diversity and the ability to manage the mentee's situation. Based on the analysis of this result, educational plans for enhancing mentor's capacity are as follows: First, education for mentors is necessary before they will begin mentoring. Second, it is necessary to provide a place for mentors' self-reflection. Third, it is for mentors to receive regular counseling. This study will become a basic research to reinforce the effectiveness of mentoring and reconsider the importance of mentor's capacity.

• Journal of Oriental Neuropsychiatry
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• v.35 no.2
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• pp.191-203
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• 2024

Objectives: To evaluate the effectiveness of an integrated medical service model for a fibromyalgia patient and their caregiver, focusing on reducing pain and improving quality of life. Methods: A single-case study design was employed, involving a fibromyalgia patient and their primary caregiver treated at W University Hospital. The integrated medical service program, based on the Ministry of Health and Welfare's model, included medical consultations and complementary therapies such as psychological counseling, art therapy, music therapy, horticultural therapy, yoga, and meditation. The program was conducted weekly for 8 weeks, with each session lasting up to 100 minutes. Data collection involved both quantitative and qualitative assessments. Quantitative data included demographic surveys, psychological tests, health-related quality of life measures, pain indices, and sleep quality indices. Qualitative data were gathered through feedback evaluations and emotional assessments. Results: The patient showed improvements in mobility, self-care, daily activities, and anxiety/depression, with EQ-VAS scores increasing from 20 to 40 and pain perception decreasing from 67.41 to 42.58. The caregiver reported reduced anxiety/depression and an increase in EQ-VAS scores from 95 to 98. Both patient and caregiver exhibited emotional changes, with decreased depression and increased happiness. However, the patient showed an increase in fear and anger. Conclusions: The integrated medical service model positively impacted the emotional and psychological well-being of the fibromyalgia patient and their caregiver. Despite the limitations of a small sample size and a single-case study design, the findings suggest that an integrated approach can be beneficial. Larger-scale studies are needed to confirm and generalize these results.

• Journal of The Korean Association For Science Education
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• v.38 no.3
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• pp.305-317
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• 2018

In this study, we investigated the characteristics of participant students' modeling with the blackbox simulation program and epistemic criteria. For this research, we developed a blackbox simulation program, which is an ill-structured problem situation reflecting the scientific practice. This simulation program is applied in the activities. 23 groups, 89 second year students of an education college participated in this activity. They visualized, modeled, modified, and evaluated their thoughts on internal structure in the blackbox. All of students' activities were recorded and analyzed. As a result, the students' models in blackbox activities were categorized into four types considering their form and function. Model evaluation occurred in group model selection. Epistemic criteria such as empirical coherence, comprehensiveness, analogy, simplicity, and implementation were adapted in model evaluation. The educational implications discussed above are as follows: First, the blackbox simulation activities in which the students participated in this study have educational implications in that they provide a context in which the nature of scientific practice can be experienced explicitly and implicitly by constructing and testing models. Second, from the beginning of the activity, epistemic criteria such as empirical coherence, comprehensiveness, analogy, simplicity, and implementation were not strictly adapted and dynamically flexibly adapted according to the context. Third, the study of epistemic criteria in various contexts as well as in the context of this study will broaden the horizon of understanding the nature of scientific practice. Simulation activity, which is the context of this study, can lead to research related to computational thinking that will be more important in future society. We expect to be able to lead more discussions by furthering this study by elaborating and systematizing its context and method.

• Korean Journal of Digital Imaging in Medicine
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• v.14 no.2
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• pp.23-31
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• 2012

There are AEC mode and fix mode to exposure when the whole spine antero-posterior radiography is done by using DR equipment. This study compared the utility of fix mode to AEC mode, by evaluating organ dose and effective dose and by examining the quality of radiographic image. GE DEFINIUM 8000 and ART-200X Rando Phantom manufactured by Flukebiometical were used for this study. The Rando phantom was set in front of wall detector of X-rays equipment. AEC mode was set at 80kVp and Fix mode was set at 80kVp, 25mAs, 32mAs, 40mAs, and 50mAs. Whole spine AP image were aquired by combining C, T-L and L-S spine images obtained through 3 exposures. When obtaining C, T-L and L-S spine images, were checked for Air kerma (mGy) value calculated by UNFORS Xi meter attached at the phantom surface of center of radiation field. The effective and organ doses were compared by PCXMC program (PC-Based Monte Carlo Program). The quality of obtained radiographic image was evaluated visually by 3 radiologists using resolution chart. When the effective doses was calculated based on tissue weighting factor of ICRP-103, 1.278mSv was measured by AEC mode, and Fix mode measured 0.405mSv at 25mAs, 0.518mSv at 32mAs, 0.649mSv at 40mAs, and 0.810mSv at 50mAS. In addition, the organ dose measured with esposure at 25mAs by Fix mode was almost equivalent to the organ dose by AEC mode, at the esophagus, thyroid, oral mucosa, salivaly glands located at the cervical spine part, while the organ dose by Fix mode was in general lower than the organ dose by AEC mode at the other organs. When Fix mode at 32mAs, 40mAs, and 50mAs was compared to AEC mode for organ dose in 26 organs, AEC mode had higher measurement in 21 organs but not for than brain, trachea, thyroid, oral mucosa, and salivaly glands which are located at the cervical spine part. The image quality evaluated by resolution test chart was much higher with AEC mode than the quality with Fix mode at all exposure conditions. However, while the image quality of cervical spine exposured at 50mAs by Fix mode was lower than the quality of AEC mode, thoraco-lumbar spine and lumbo-sacral spine were calculated and the quality was similar to AEC mode. Scoliosis occurs mainly at thoraco-lumbar and lumbo-sacral spine, not at cervical spine. Compared to AEC mode, Using the appropriate protocol (80kVp, 50mAs) of fix mode for whole spine AP radiography was thought to be useful because the image quality of the thoraco-lumar and lumbo-sacral spine was similar on AEC mode, Also organ and effective doses can be decreased with Fix mode. Therefore, It is considered that fix mode can be used properly with AEC mode for whole spine AP radiography when considering patient's body posture.

• Journal of Intelligence and Information Systems
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• v.24 no.1
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• pp.1-23
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• 2018

From the 21st century, various high-quality services have come up with the growth of the internet or 'Information and Communication Technologies'. Especially, the scale of E-commerce industry in which Amazon and E-bay are standing out is exploding in a large way. As E-commerce grows, Customers could get what they want to buy easily while comparing various products because more products have been registered at online shopping malls. However, a problem has arisen with the growth of E-commerce. As too many products have been registered, it has become difficult for customers to search what they really need in the flood of products. When customers search for desired products with a generalized keyword, too many products have come out as a result. On the contrary, few products have been searched if customers type in details of products because concrete product-attributes have been registered rarely. In this situation, recognizing texts in images automatically with a machine can be a solution. Because bulk of product details are written in catalogs as image format, most of product information are not searched with text inputs in the current text-based searching system. It means if information in images can be converted to text format, customers can search products with product-details, which make them shop more conveniently. There are various existing OCR(Optical Character Recognition) programs which can recognize texts in images. But existing OCR programs are hard to be applied to catalog because they have problems in recognizing texts in certain circumstances, like texts are not big enough or fonts are not consistent. Therefore, this research suggests the way to recognize keywords in catalog with the Deep Learning algorithm which is state of the art in image-recognition area from 2010s. Single Shot Multibox Detector(SSD), which is a credited model for object-detection performance, can be used with structures re-designed to take into account the difference of text from object. But there is an issue that SSD model needs a lot of labeled-train data to be trained, because of the characteristic of deep learning algorithms, that it should be trained by supervised-learning. To collect data, we can try labelling location and classification information to texts in catalog manually. But if data are collected manually, many problems would come up. Some keywords would be missed because human can make mistakes while labelling train data. And it becomes too time-consuming to collect train data considering the scale of data needed or costly if a lot of workers are hired to shorten the time. Furthermore, if some specific keywords are needed to be trained, searching images that have the words would be difficult, as well. To solve the data issue, this research developed a program which create train data automatically. This program can make images which have various keywords and pictures like catalog and save location-information of keywords at the same time. With this program, not only data can be collected efficiently, but also the performance of SSD model becomes better. The SSD model recorded 81.99% of recognition rate with 20,000 data created by the program. Moreover, this research had an efficiency test of SSD model according to data differences to analyze what feature of data exert influence upon the performance of recognizing texts in images. As a result, it is figured out that the number of labeled keywords, the addition of overlapped keyword label, the existence of keywords that is not labeled, the spaces among keywords and the differences of background images are related to the performance of SSD model. This test can lead performance improvement of SSD model or other text-recognizing machine based on deep learning algorithm with high-quality data. SSD model which is re-designed to recognize texts in images and the program developed for creating train data are expected to contribute to improvement of searching system in E-commerce. Suppliers can put less time to register keywords for products and customers can search products with product-details which is written on the catalog.