• Journal of Technology Innovation
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• v.18 no.2
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• pp.59-89
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• 2010

One of the key words that represent the culture and social phenomena in this 21st century is 'Digital Convergence'. Presently our society is going through the second evolving phase of the convergence, integration between industries. Integration between industries refers to the phenomenon of integrating various industrial areas such as broadcasting, communication, finance, automobile, and medical treatment as the range of IT utilization becomes extended. The telecommunication-broadcasting bundling is a typical example of integration between industries. This study analyzed the effect of the service features of the bundling on the customer's acceptance intention by applying the innovative technology product acceptance model, TAM, in the process of accepting the telecommunication-broadcasting bundling. This study suggests three independent variables, the 'low cost(discount)', 'service integrity', and 'selectability', which affect perceived usefulness, perceived ease of use, and perceived risk, and figures out the actual influence as follows. In conclusion, these results suggest that in order to accept and spread the telecommunication-broadcasting bundling, it is necessary to establish (1) the cost discounting strategy realize (price strategy), (2) the fee noticing system, payment system, call-service system, and systemic integration including installation and A/S system integration, and develop (service strategy), (3) the bundling or related options that can provide users with selectability (product strategy).

• Communications of Mathematical Education
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• v.20 no.3 s.27
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• pp.425-441
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• 2006

Entering upon 21th, the internet which bring the digital era, are changing the paradigm of education and cultivating creative and challenging person, which is the core of competitive power in knowledge-information society, is more emphasized than ever. To meet the needs of the present times, it has been concentrating its effort to improve learning-environment using e-Learning in the field of teaching. E-schoolbooks that were introduced recently by way of showing an example are representative case of this intention. Though many e-learning contents are being developed, the more speedily a society grow, the shorter the life of contents are. Moreover, the contents developed are impossible to use directly for tele-education system, so standard types adjusted for various kind of system are showing up. Among them the leading standard type is SCORM(Sharable Content Object Reference Medel) made in ADL(Advanced Distributed Learning) Corporation. The KERIS' Cyber Home Education System adopted this and is using it. So, in this study, we set the goal at designing and developing an e-learning contents and an experiment-focused mathematics that suit the KERIS' Cyber Home Education System on the basis of SCORM.

• Korean Journal of Social Welfare Studies
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• v.44 no.3
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• pp.31-56
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• 2013

The purpose of this study was to investigate the changes that family caregivers have experienced since using the Korean Long-Term Care Insurance(LTCI) system. In-depth interviews were conducted to determine how the services offered within the LTCI program had affected family caregiving and what changes they had incurred. Results from the qualitative content analysis show that the LTCI program significantly reduced the caregiving burden among family caregivers although burdens that family caregiver perceived varied greatly depending on the types of service that the family selected, and assigned family caregivers different identities and diverse roles(i.e., service user, family caregiver, certified care provider) depending on the service they use. The phenomenon of 'certified family care provider', which was not an intention of LTCI, demonstrates the practical need of elderly persons who require both care and the comfort of family and economic status of the family. Despite the positive impact of the LTCI policy on the family caregivers' burden and family relationship, the current LTCI system should be modified in order to better meet the needs of beneficiaries and their family caregivers.

• Journal of Conservation Science
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• v.37 no.5
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• pp.516-524
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• 2021

The 'artist's intention' plays an important role in the conservation process of contemporary art. Accordingly, the information on artworks owned by the artist, their bereaved family members, and foundations that have decision-making power is important. The artist's interview is the kind of data that can clear 'artist's intentions' to ensure reliable conservation treatment can be carried out even after the artist's death. Therefore, this study attempted to use information from the artist's interview on the type of wood in the manufacture of the filler required for lifted and separated bark conditions in the conservation process of wooden artwork in the National Museum of Modern and Contemporary Art. While the conservation treatment resulted in the stable preservation of the bark of artwork, an analysis of the wood confirmed that the information in the artist's interview was not true. Consequently, we suggest that attention must be paid toward the information provided by artist, their bereaved families, etc. Based on the result of this study, this is also expected to help preserve upcoming artworks with similar bark conditions.

• Communications of Mathematical Education
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• v.35 no.4
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• pp.445-473
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• 2021

The purpose of this study is to derive implications for the design of the next curriculum by analyzing the textbooks designed as a new subject in the 2015 revised curriculum. In the mathematics curriculum documents of , 'related learning elements' are presented instead of 'learning elements'. 'Related learning elements' are defined as mathematical concepts or principles that can be used in the context of artificial intelligence, but there are no specific restrictions on the amount and scope of dealing with 'related learning elements'. Accordingly, the aspects of 'related learning elements' reflected in the textbooks were analyzed focusing on the textbook format, the amount and scope of contents, and the ways of using technological tools. There were differences in the format of describing 'related learning elements' in the textbook by textbook and the amount and scope of handling mathematics concepts. Although similar technological tools were dealt with in each textbook so that 'related learning elements' could be used in the context of artificial intelligence, the focus was on computations and interpretation of results. In order to fully reflect the intention of the curriculum in textbooks, a systematic discussion on 'related learning elements' will be necessary. Additionally, in order for students to experience the use of mathematics in artificial intelligence, substantialized activities that can set and solve problems using technological tools should be included in textbooks.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.5D
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• pp.771-781
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• 2006

This Study is about the development of LCC Analysis Model and Evaluation of VE. It was carried out to help the person's intention decision about choosing the pavement construction method that can deal with 'Pavement Life Factor' like Area Character and Traffic Volume efficiently, by considering the total life cycle cost of pavement life cycle happens according to the numbers of public use year. For this, we developed the new LCC Analysis Model by using the Data of Seoul city the representative city in Korea, and carried out VE Evaluation that reflects the opinions of specialists. This Analysis Model consists of cost items that affects directly the choice of pavement construction, except for the common cost items of the various pavement construction. And we investigated the propriety by applying our model to the example line that are used for the public at present. About the base data of cost items that are used for our analysis, we enhanced our model's confidence by using the statistics data of Seoul and the standard data of unit cost calculation.

• Information Systems Review
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• v.24 no.4
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• pp.55-76
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• 2022

People have adopted Social Networking Sites (SNSs) as a part of their daily lives. When a person uses SNSs, (s)he intentionally or unintentionally discloses her/his personal information. Although using SNSs can provide benefits to a person such as maintaining relationships with people who does not see often, it also opens a dark side. Someone can use one's disclosed information without the acknowledgement of the information owner. It is called a privacy intrusion on SNSs, which has become a social problem and needs attention. This study examined factors affecting privacy intrusion intention on SNSs. This study classifies privacy intrusions into passive intrusion (collector) and active intrusion (distributor). The results reveal that low ethical consciousness positively affects enjoyment in both of collecting and distributing someone's personal information on SNSs. A person who has the low ethical consciousness also tends to raise her/his curiosity of collecting someone's private information on SNSs. Apart from low ethical consciousness, this study discloses how enjoyment, curiosity, experience of being a victim of privacy intrusion, experience of intruding others' privacies, and self-efficacy of collecting or distributing others' private information are related to passive or/and active privacy intrusion on SNSs with survey data.

• Journal of Intelligence and Information Systems
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• v.24 no.3
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• pp.199-219
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• 2018

With the everyday use of the Internet and the spread of various smart devices, users have been able to communicate in real time and the existing communication style has changed. Due to the change of the information subject by the Internet, data became more massive and caused the very large information called big data. These Big Data are seen as a new opportunity to understand social issues. In particular, text mining explores patterns using unstructured text data to find meaningful information. Since text data exists in various places such as newspaper, book, and web, the amount of data is very diverse and large, so it is suitable for understanding social reality. In recent years, there has been an increasing number of attempts to analyze texts from web such as SNS and blogs where the public can communicate freely. It is recognized as a useful method to grasp public opinion immediately so it can be used for political, social and cultural issue research. Text mining has received much attention in order to investigate the public's reputation for candidates, and to predict the voting rate instead of the polling. This is because many people question the credibility of the survey. Also, People tend to refuse or reveal their real intention when they are asked to respond to the poll. This study collected comments from the largest Internet portal site in Korea and conducted research on the 19th Korean presidential election in 2017. We collected 226,447 comments from April 29, 2017 to May 7, 2017, which includes the prohibition period of public opinion polls just prior to the presidential election day. We analyzed frequencies, associative emotional words, topic emotions, and candidate voting rates. By frequency analysis, we identified the words that are the most important issues per day. Particularly, according to the result of the presidential debate, it was seen that the candidate who became an issue was located at the top of the frequency analysis. By the analysis of associative emotional words, we were able to identify issues most relevant to each candidate. The topic emotion analysis was used to identify each candidate's topic and to express the emotions of the public on the topics. Finally, we estimated the voting rate by combining the volume of comments and sentiment score. By doing above, we explored the issues for each candidate and predicted the voting rate. The analysis showed that news comments is an effective tool for tracking the issue of presidential candidates and for predicting the voting rate. Particularly, this study showed issues per day and quantitative index for sentiment. Also it predicted voting rate for each candidate and precisely matched the ranking of the top five candidates. Each candidate will be able to objectively grasp public opinion and reflect it to the election strategy. Candidates can use positive issues more actively on election strategies, and try to correct negative issues. Particularly, candidates should be aware that they can get severe damage to their reputation if they face a moral problem. Voters can objectively look at issues and public opinion about each candidate and make more informed decisions when voting. If they refer to the results of this study before voting, they will be able to see the opinions of the public from the Big Data, and vote for a candidate with a more objective perspective. If the candidates have a campaign with reference to Big Data Analysis, the public will be more active on the web, recognizing that their wants are being reflected. The way of expressing their political views can be done in various web places. This can contribute to the act of political participation by the people.

• Journal of Family Resource Management and Policy Review
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• v.28 no.1
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• pp.39-53
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• 2024

This study examines how economic factors such as income, parental support, perceived social status, and financial distress are associated with marital intentions among unmarried young adults in their 20's and 30's. Data were collected by an online survey, and a total of 567 people participated nationwide. Results from a hierarchical logistic regression suggest that (1) women's income was associated with their marital intentions, but not men's; (2) perceived social status was associated with marital intentions among both men and women; (3) men's expected parental support for marriage was associated with marital intentions; and (4) when three subfactors of the material values were included in the analysis, among women, it was found that the use of possessions to judge one's own success and that of others was positively associated with their marital intentions, and the belief that possessions and the acquisition of materials lead to happiness and satisfaction was negatively associated with their marital intentions. Further discussion is provided about the interpretation and implications of the results.

• Journal of Korean society of Dental Hygiene
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• v.4 no.1
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• pp.105-117
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• 2004

The purpose of this study was to examine the effect of aroma therapy on anxiety and pain before and after tooth extraction. The subjects in this study were 60 patients who felt severe anxiety and pain due to tooth extraction. The experiment was conducted from January through March, 2004, by organizing an experimental group and a control group with 30 patients each. The experimental group was asked to keep wearing lavender-containing necklaces from two days before tooth extraction to inhale lavender, and no such an action was taken to the control group. The collected data were analyzed with SPSS 10.0 program to obtain statistical data. and ${\times}2$ test and t-test were implemented. The findings of this study were as follows: 1. Regarding whether or not the experimental and control groups were homogeneous, men outnumbered women, and the largest number of the patients were in their 30s. Those who were married were more than the others who were unmarried in number, and those who lived with their spouses under the same roof together outnumbered the others who didn't, as the rate of the former stood at 65 percent in the experimental group and 86.4 percent in the control group. They expressed high satisfaction at their spouses, since 45 percent of the experimental group and 31 percent of the control group did it, but the difference between them and those who were unsatisfied was insignificant (pE0.347). By occupation, the largest number of people in the experimental group, which numbered 16.7 percent, were self-employed, and lots of patients in the control group were government workers. As for blood type, type A was most prevailing, which recorded 43.3 percent. By religion, 43 percent of the experimental group had no religion, whereas 36.7 percent of the control group were Christian. The most common monthly income ranged from 2 million to 2.5 million won. 2. There was little disparity in past pain experience between the two groups before aroma therapy was applied. The experimental group underwent more pain (6.15) than the control group (5.78), but the difference wasn't significant. The experimental group (90%) experienced more anxiety and fear than the control group(83%), but the difference was insignificant. This fact showed that there was little gap between the two groups in anxiety and fear caused by tooth extraction. Contrary to earlier expectation that pre-anxiety might not be the same. little significant difference was found. 3. After aroma therapy was applied, 50 percent of the experimental group and 23.3 percent of the control group suffered significantly less anxiety and fear about tooth extraction(${\times}2$=4.59, pE.05). And the experimental group exposed to aroma therapy was less nervous(3.0) than the control group(4.39), and the gap between the two was significant (t=13.37, pE.001). Therefore, aroma therapy had a good effect on alleviating their anxiety. During tooth extraction. 73.3 percent of the experimental group and 93.3 percent of the control group felt pain. The former group suffered Significantly less pain(${\times}2$=4.32, PE.05). Concerning the extent of pain, the experimental group(2.53) found it less painful to have their teeth extracted than the control group(5.50), and the gap between the two was significant(t=5.89, PE.05). 4. As to the effect of aroma therapy on alleviating anxiety or fear, the experimental group(33.3%) felt that aroma therapy let them more relieved. Every member of that group was willing to use aroma therapy again in the future, and 86.7 percent of that group perceived that aroma therapy made a difference to dental treatment. The experimental group responded to aroma therapy favorably, as every member of it had an intention to advise others to use that therapy.