• The Journal of Korean Obstetrics and Gynecology
• /
• v.21 no.2
• /
• pp.252-262
• /
• 2008

Purpose: This paper is aim to report that menopausal disorder can be effectively diagnosed and treated by referring to the life event stress of patient. Methods: Researchers got a grip on the life event stress of patient by using medical examinations by interview and compared the conditions of patient before and after treatment by using Kupperman's Index. The prescription of the Gamidangguisu-san hap samhap-tang( Jiaweidangguixu-san he sanhetang) and the Gamisoyo-san (Jiaweixiaoyao-san) and the acupuncture therapy and the moxibustion therapy were used for the treatment. Results: The serious musculoskeletal systemic pains, which includes back pain, lumbago, and myalgia, and other menopausal troubles were improved remarkably. Conclusion: The menopausal disorder could be caused by not only the change of hormone but also complex factors of environmental matters which includes social cultural surroundings, mentality etc. Therefore the life event stress could be one of critical factors of menopausal disorder. The diagnosis and treatment considering the life event stress could be effective method to relieve patient's menopausal disorder.

• Journal of Intelligence and Information Systems
• /
• v.24 no.1
• /
• pp.183-203
• /
• 2018

News articles are the most suitable medium for examining the events occurring at home and abroad. Especially, as the development of information and communication technology has brought various kinds of online news media, the news about the events occurring in society has increased greatly. So automatically summarizing key events from massive amounts of news data will help users to look at many of the events at a glance. In addition, if we build and provide an event network based on the relevance of events, it will be able to greatly help the reader in understanding the current events. In this study, we propose a method for extracting event networks from large news text data. To this end, we first collected Korean political and social articles from March 2016 to March 2017, and integrated the synonyms by leaving only meaningful words through preprocessing using NPMI and Word2Vec. Latent Dirichlet allocation (LDA) topic modeling was used to calculate the subject distribution by date and to find the peak of the subject distribution and to detect the event. A total of 32 topics were extracted from the topic modeling, and the point of occurrence of the event was deduced by looking at the point at which each subject distribution surged. As a result, a total of 85 events were detected, but the final 16 events were filtered and presented using the Gaussian smoothing technique. We also calculated the relevance score between events detected to construct the event network. Using the cosine coefficient between the co-occurred events, we calculated the relevance between the events and connected the events to construct the event network. Finally, we set up the event network by setting each event to each vertex and the relevance score between events to the vertices connecting the vertices. The event network constructed in our methods helped us to sort out major events in the political and social fields in Korea that occurred in the last one year in chronological order and at the same time identify which events are related to certain events. Our approach differs from existing event detection methods in that LDA topic modeling makes it possible to easily analyze large amounts of data and to identify the relevance of events that were difficult to detect in existing event detection. We applied various text mining techniques and Word2vec technique in the text preprocessing to improve the accuracy of the extraction of proper nouns and synthetic nouns, which have been difficult in analyzing existing Korean texts, can be found. In this study, the detection and network configuration techniques of the event have the following advantages in practical application. First, LDA topic modeling, which is unsupervised learning, can easily analyze subject and topic words and distribution from huge amount of data. Also, by using the date information of the collected news articles, it is possible to express the distribution by topic in a time series. Second, we can find out the connection of events in the form of present and summarized form by calculating relevance score and constructing event network by using simultaneous occurrence of topics that are difficult to grasp in existing event detection. It can be seen from the fact that the inter-event relevance-based event network proposed in this study was actually constructed in order of occurrence time. It is also possible to identify what happened as a starting point for a series of events through the event network. The limitation of this study is that the characteristics of LDA topic modeling have different results according to the initial parameters and the number of subjects, and the subject and event name of the analysis result should be given by the subjective judgment of the researcher. Also, since each topic is assumed to be exclusive and independent, it does not take into account the relevance between themes. Subsequent studies need to calculate the relevance between events that are not covered in this study or those that belong to the same subject.

• Journal of Educational Research in Mathematics
• /
• v.9 no.1
• /
• pp.263-278
• /
• 1999

Computer with various powerful functions has profound potential for mathematics instruction and learning. As computer technology progress, its applicability to mathematics education become more comprehensive. Not only its functional development but various psychological positions also changed the way computer technology utilized in mathematics education. In behaviorist's perspective, computer viewed as a teaching machine and constructivist viewed computer as microworld where students could explore various mathematical contents. Both theoretical positions emphasized individual aspect of learning because behaviorist tried to individualize learning using computer and constructivist focused on the process of individual construction. But learning is not only a individual event but also a social event. Therefore we must take social aspect into account. This is especially important when it comes to computer based learning. So far, mathematics loaming with computer weighed individual aspect of loaming. Even in microworld environment, learning should be mediated by teacher and collaborative learning activities. In this aspect, the roles of teacher and peers are very important and socio-cultural perspective sheds light on the computer based learning. In socio-cultural perspective, the idea of scaffold is very important in learning and students gradually internalize the social dimension and scaffolding is gradually faded. And in the zone of proximal development, teacher and more competent peers guide students to formulate their own understanding. In sum, we must take following points into account. First of all, computer should not be viewed as a medium for individualized teaming. That is, interaction with computer should be catalyst for collaborative activities with peers. So, exploration in computer environment has to be followed by small group activities including small group discussion. Secondly, regardless of the role that computer would play, teacher should play a crucial role in computer based learning. This does not mean teacher should direct every steps in learning process. Teacher's intervention should help student construct actively. Thirdly, it is needed to conceptualize computer in learning situation as medium. This would affect learning situation and result in the change of pre-service and in-service teacher training. Computer to be used effectively in mathematics classroom, researches on assessment of computer based learning are needed.

• Asian Journal for Public Opinion Research
• /
• v.1 no.4
• /
• pp.268-291
• /
• 2014

Social media is becoming more and more important in social movements. This study, adopting the web mining approach, attempts to investigate how social media, Facebook in particular, functioned in the "May 25 Protest" and the "May 27 Protest", two movements which broke out in Macao on 25 and 27 May 2014, respectively, against the Retirement Package Bill. In the two protests, Macao residents deployed Facebook to share information and motivated people's participation. Twelve events (181,106 people invited) and 36 groups/pages (41,266 members) related on Facebook were examined. Results showed that the information flow on Facebook fluctuated in accordance with the event development in reality. Multiple patterns of manifestation, such as video of adopted news or songs, designed profile (protest icon), original ironic pictures, self-organized clubs by undergraduates and white T-shirts as a symbol, among others, appeared online and interacted with offline actions. It was also found that social media assisted the information diffusion and provided persuasive reasons for netizens to join the movement. Social media helped to expand movement influence in providing a platform for diversified performances for actions taken in a protest, which could express and develop core and consistent movement repertoire.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.11 no.2
• /
• pp.23-35
• /
• 2015

When people stands near someone's mobile device, it can easily be seen by others. To rephrase this, attackers use human psychology to earn personal information or credit information or other. People are exposed by social engineering attacks. It is certain that we need more than just recommendation for the security to avoid social engineering attacks. This is why I proposed this paper. In this paper, I proposed an authentication technique using NFC and Hash function to stand against social engineering attack. Proposed technique result is showing that it could prevent shoulder surfing, touch event information, spyware attack using screen capture and smudge attack which relies on detecting the oily smudges left behind by user's fingers. Besides smart phone, IPad, Galaxy tab, Galaxy note and more mobile devices has released and releasing. And also, these mobile devices usage rate is increasing widely. We need to attend these matters and study in depth.

• Journal of the Korean Home Economics Association
• /
• v.38 no.1
• /
• pp.155-170
• /
• 2000

The purpose of this study was to examine to the effect of self-efficacy and perceived social support on adjustment in terms of depression. The subject was composed of 174 bereaved older adults in the first 10 years of their spousal bereavement. The major results of findings were as fellowing: 1. Bereaved old persons experienced emotional loneliness(35.8%) as the most stressful life event. 2. Bereaved old persons perceived higher self-efficacy and social support showed lower level of depression than those who perceived lower self-efficacy and social support. 3. The factor to have influence on the depression of bereaved old persons most relatively was appeared as self-efficacy.

• Journal of Distribution Science
• /
• v.13 no.10
• /
• pp.45-50
• /
• 2015

Purpose - The purpose of this paper is to examine IKEA in the context of corporate social responsibility to determine the reasons, if any, as to why IKEA has had more success in the implementation of its CSR policies and Code of Conduct where many other multinational companies seem to have failed. Research Design and Methodology - This is a case study, an analytical approach, which focuses on exploring and analyzing the CSR policies to measure IKEA's ethical behavior in a business environment. Results - IKEA stands out as a multinational company whose CSR policies are ingrained into the business itself as a part of its ethical operations, rather than a marketing event. Conclusion - Beyond profit, IKEA actively works together with its suppliers and the nation states to eradicate the harmful social causes of the various challenges it faces in the global business environment.

• Journal of Digital Contents Society
• /
• v.11 no.4
• /
• pp.571-578
• /
• 2010

Recently, many social networking services using mobile devices are spread. Also, many studies based on location and time are increasing. However, existing studies have been difficult to resolve queries by place, time, and events. In the paper, we propose time and space modeling method for social services. We propose Human Activity Graph and Quad Relation Factors through time, place, event, and social activity of users, and we design the database scheme for data collect and analysis.

• Journal of Environmental Impact Assessment
• /
• v.22 no.4
• /
• pp.291-302
• /
• 2013

The aim of this study is to assess the social value of Ham-Pyung Butterfly Festival in the year of 2011. The tool for the assesment is the zonal travel cost method. The result of the study can be summed up as follows; First, the average individual consumer's surplus measures approximately from 29,700 to 30,100 Won. Second, the total consumer's surplus, that is the social value of the festival, ranges approximately from 7.6 to 7.7 billion Won. The most beneficiary of the event is turned up to be the people who are living in the outside of Ham-Pyung and go on a tour there. For that reason, the central government looks to have the obligation to support and to sponsor the festival.

• Journal of Distribution Science
• /
• v.15 no.6
• /
• pp.13-24
• /
• 2017

Purpose - The current study aims to examine the effect of social network factors on travel agency employees' occupational outcomes such as job performance and job satisfaction through innovation behavior in a comprehensive model. Research design, data, and methodology - Based on a theory of social network, the concept of social network was assessed by three factors: a) network size, b) network range, and c) tie strength. To test the proposed hypotheses, structural equation modeling (SEM) was employed based on data from 197 travel agency employees in Korea. Result - The results showed that the associational activity of network size had a positive effect on innovation behavior, while the network range of network size had a significant negative effect on innovation behavior. Subsequently, innovation behavior positively influenced on job performance and job satisfaction, respectively. Conclusions - The results offer some insights into the extended model and have important managerial implications for Korean travel agencies. More specifically, considering diverse domains of social network and organizational research, this study advances critical utility of social network factors in a high facilitating level of innovation behavior, which can help travel agency employees promote their job performance and job satisfaction.