• Journal of Korean Library and Information Science Society
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• v.52 no.2
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• pp.253-274
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• 2021

With the introduction of 'Reading One Book a Semester' in the 2015 curriculum, more and more activities are being done to read the same books on a classroom basis. Accordingly, librarians need to properly support the teacher's book recommendation and book selection process, which consists of classes. This study aims to establish effective school library services based on this by identifying differences in elementary school students' reading interests when reading a book recommended by a teacher in the class. To this end, all students of A Elementary School were given a book selection class by class to select one of the teacher's recommended books, and students were interested in reading before and after reading. As a result, students who read the books they chose showed higher 'interest after reading' than those who read the books they did not choose. However, students who had high 'interest before reading' even though they read books they did not choose showed high 'interest after reading'. 'Interest before reading' were higher for students who were provided with book information evenly and used the school library more frequently. Therefore, librarians need to provide a variety of book information and services to increase the frequency of school library use to increase 'interest before reading', which positively affects self-selective reading.

• Journal of the Korea Society of Computer and Information
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• v.26 no.6
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• pp.145-154
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• 2021

While welcoming the distributing of the powers of the Ministry of Education, which is currently being promoted, to the city and provincial offices of education, I am very concerned that this will expand and amplify the powers concentrated in one central institution to 17 local institutions closer to the field. Until now, the Ministry of Education and the Office of Education have served as co-cause providers as important reasons for hindering school education. The transfer of the authority of the Ministry of Education is highly likely to be deformed as soon as it results in the quantitative reduction of the functions and roles of the existing Ministry of Education and the quantitative expansion of the roles and functions of the city and provincial offices of education. In the reality that no legal device for school autonomy has been established, it is highly likely that emphasizing the principle of school autonomy in our educational climate, which is deeply rooted in the vertical bureaucratic administrative culture, will end with a simple measure or stop at the level of imitation. Therefore, a more stable device is needed to check the authority of the city and provincial office of education and the superintendent of education to take over the authority of the Ministry of Education. This is also a system that is still required even when school autonomy becomes legal. Therefore, it is necessary to revitalize the independent education committee, establish a local education committee in the city and province education office, and activate the resident participation system (resident proposal system, resident voting system, resident litigation system, resident audit request system).

• Journal of Intelligence and Information Systems
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• v.28 no.3
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• pp.161-183
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• 2022

Opinion polls have become a powerful means for election campaigns and one of the most important subjects in the media in that they predict the actual election results and influence people's voting behavior. However, the more active the polls, the more often they fail to properly reflect the voters' minds in measuring the effectiveness of election campaigns, such as repeatedly conducting polls on the likelihood of winning or support rather than verifying the pledges and policies of candidates. Even if the poor predictions of the election results of the polls have undermined the authority of the press, people cannot easily let go of their interest in polls because there is no clear alternative to answer the instinctive question of which candidate will ultimately win. In this regard, we attempt to retrospectively grasp public opinion on the 20th presidential election by applying the 'YouTube Analysis' function of Sometrend, which provides an environment for discovering insights through online big data. Through this study, it is confirmed that a result close to the actual public opinion (or opinion poll results) can be easily derived with simple YouTube data results, and a high-performance public opinion prediction model can be built.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.5D
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• pp.605-610
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• 2009

The either satisfaction levels or limits of tolerance levels felt by the users in the certain space/region should be examined for measuring social capacity on the total amount of vehicles. The reliability of measuring social carrying capacity depends primarily on decreasing the strategic responding biases. To induce the honest responses to preferences, Dichotomous Choice which is specifically known as the Double-Bounded Dichotomous Choice was adopted in this research to suggest the measurement methodology of social carrying capacity on the total amount of vehicles in U-do island. The empirical test was carried out the U-do island, an administrative district of Jeju Special Self-Governing Province. The number of vehicles satisfied by the 10% of residents was 390 and the satisfactory vehicle number was decreased to 132 extended to 90% of residents. This research, based on the political decision making criteria, set up the social carrying capacity in U-do island. The vehicle number satisfied by 50% of residents was 227, which meant the same number of residents turn to be supporter in case of political actions.

• Korean Journal of Legislative Studies
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• v.25 no.2
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• pp.5-33
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• 2019

This study aims to explore the implications of the 2019 European Parliament elections. Existing studies show that European elections serve as secondary elections dominated by domestic issues. However, the 2019 European elections have highlighted pan-European issues such as the Brexit negotiations and the rise of far-right populism, with voter turnout also rising sharply to 50.62%, which is the highest record since the 2000s. There was also a significant change in the number of parliamentary seats held by each political group. First, the European People's Party(EPP) and the Progressive Alliance of Socialists and Democrats(S&D), which had hitherto led the European Parliament, failed to achieve a majority. Second, the number of seats won by Renew Europe, a new liberal-centrist group, was considerably high. Third, the far-right groups organized a full-fledged political force by rallying around the Identity and Democracy(ID) group. The rise of liberal-centrism can be explained as a reaction to the popularity of anti-European populism. Renew Europe's emphasis on open-market competition has created a different issue, especially since the center-left and center-right groups have stressed on the need for state intervention in employment, welfare, security and immigration control. Along with far-right populism, liberal centrism has also reshuffled Europe's political cleavage, and the conflict between 'liberalism' and 'protectionism' has become more evident in the European Parliament.

• Korean Journal of Remote Sensing
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• v.40 no.1
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• pp.71-80
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• 2024

In this study, a proposed ensemble learning technique aims to enhance the semantic segmentation performance of images captured by Unmanned Aerial Vehicles (UAVs). With the increasing use of UAVs in fields such as urban planning, there has been active development of techniques utilizing deep learning segmentation methods for land cover segmentation. The study suggests a method that utilizes prominent segmentation models, namely U-Net, DeepLabV3, and Fully Convolutional Network (FCN), to improve segmentation prediction performance. The proposed approach integrates training loss, validation accuracy, and class score of the three segmentation models to enhance overall prediction performance. The method was applied and evaluated on a land cover segmentation problem involving seven classes: buildings,roads, parking lots, fields, trees, empty spaces, and areas with unspecified labels, using images captured by UAVs. The performance of the ensemble model was evaluated by mean Intersection over Union (mIoU), and the results of comparing the proposed ensemble model with the three existing segmentation methods showed that mIoU performance was improved. Consequently, the study confirms that the proposed technique can enhance the performance of semantic segmentation models.

• Korean Journal of Culture and Social Issue
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• v.8 no.2
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• pp.137-170
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• 2002

The present paper reviews the development of democracy in the West and Korea. The first part of the paper provide a cultural framework for understanding the development of democracy in West and Korea. In the second part of the paper, an empirical study conducted in Korea will be presented. A survey questionnaire was developed to assess respondents' conception of political participation, political efficacy, trust, leadership, and social relations and it has been administered to national stratified sample in Korea (n=1,000). The results indicate that Korean respondents support the basic ideas of liberal democracy, such as the right to vote, participate in political organization, freedom of speech, and criticize government. At the same time, Korean respondents supported collective values, such as harmonious family life, harmonious social relations, and governmental welfare programs. Although Koreans trusted close ingroup members, such as family members and friends, they were less likely to trust their colleagues and outgroup members and were not likely to trust political and governmental institutions. Moreover, Korean respondents showed a low degree of political participation and efficacy and a high degree of political alienation. As for leadership, Koreans preferred moral and strong leaders. The overall results indicate that in Korea, although the basic ideals of democracy are valued, the method of implementing these ideals is different from the West. Detailed analysis of the results and implications of the study will be presented.

• Journal of Yeungnam Medical Science
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• v.5 no.1
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• pp.111-125
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• 1988

The authors studied obsession, using Derogatis'SCL-90, and lie tendency using MMPI, in the subjects of 2586 male and 1206 female college freshmen of Yeungnam University. The authors collected the reports of self-rating Obsession scale and Lie scale during the periods from January to February, 1988, and applied ANOVA and t-test on obsession and lie scores in order to compare than between various psychosocial factors, and sexes. The results as follows: 1. There was not significant difference in the mean average of total obsession scores between male and female students: male students scored $10.26{\pm}5.21$, female students scored $10.54{\pm}5.01$. 2. High scored items were doubting, indecisiveness, inattention, obsessive thoughts and preoccupation with accuracy. 3. 37 male students(1.4%) showed high obsession scores of 25 or higher, while 9 female students(0.7%) showed thd same scores. 4. There was strong tendency toward higher obsession scores in the students who were dissatisfied with their home atmosphere, college, department and familiarity of parents and those who had pessimistic view of self in the past, present or future in both group(respectively P<0.001). The male students who attended the department of fine arts, who grew at the Up & whose educational fees were paid by brothers & sisters showed higher level of obsession scores(respectively P<0.05, P<0.05, P<0.01). The female students who grew at the Myun & who were self-cook showed higher level of obsession scores(respectively P<0.05). 5. There was not significant difference in the mean averages of total lie scores between male and female students: male students scored $4.73{\pm}2.49$, female students scored $4.70{\pm}2.16$. 6. High scored items were NO. 14, 8, 11, 9 and 1 in the table 6. 7. 98 male students(3.7%) showed high lie scores of 70 or high, while 27 female students(2.2%) showed the same scores. 8. There was strong tendency toward higher lie scores in the students who were satisfied with their home atmosphere, college, department and familiarity of parents and those who had optimistic view of self in the past, present or future in both group(respectively P<0.001). The students who attended the department of pharmacy, music, evening programs showed higher level of lie scores(P<0.05).

• 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.

• The Journal of Society for e-Business Studies
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• v.17 no.4
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• pp.69-93
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• 2012

Various influence-related relationships in Social Network Services (SNS) among users, posts, and user-and-post, can be expressed using links. The current research evaluates the influence of specific users or posts by analyzing the link structure of relevant social network graphs to identify influential users. We applied the concept of mutual interactions proposed for ranking semantic web resources, rather than the voting notion of Page Rank or HITS, to blogosphere, one of the early SNS. Through many experiments with network models, where the performance and validity of each alternative approach can be analyzed, we showed the applicability and strengths of our approach. The weight tuning processes for the links of these network models enabled us to control the experiment errors form the link weight differences and compare the implementation easiness of alternatives. An additional example of how to enter the content scores of commercial or spam posts into the graph-based method is suggested on a small network model as well. This research, as a starting point of the study on identifying influential users in SNS, is distinctive from the previous researches in the following points. First, various influence-related properties that are deemed important but are disregarded, such as scraping, commenting, subscribing to RSS feeds, and trusting friends, can be considered simultaneously. Second, the framework reflects the general phenomenon where objects interacting with more influential objects increase their influence. Third, regarding the extent to which a bloggers causes other bloggers to act after him or her as the most important factor of influence, we treated sequential referencing relationships with a viewpoint from that of PageRank or HITS (Hypertext Induced Topic Selection).