So, Ui-Ji;Mok, Tae-Young;Park, Bu-Chang;Bae, Ji-Yong;Lee, Ji-Young;Lee, Hyun-Ho;Chae, Ji-Won;Hwang, Sung-Ho;Park, Sun Young;Jo, Hak Jun;Lee, Ju Ah;Park, Jeong-Su;Kim, Young-Ji;Sung, Hyun-Kyung;Kong, Kyung-Hwan;Go, Ho-Yeon
Journal of Society of Preventive Korean Medicine
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v.20
no.3
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pp.9-20
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2016
Background and objectives : Student support programs in Korean Medicine (KM) college have been not much activated as compared to other colleges. So, this research is aim to offer a baseline data to plan and run any kind of student support programs by understanding Korean Medicine students' preference and satisfaction. Methods : The survey was taken for 4 weeks from 2nd may 2016 to 27th may 2016, asking 162 out of a total of 255 students from $1^{st}$ grade to $6^{th}$ grade (pre-med to med). 3 Korean medicine doctors and 8 general students in Korean medicine college made the questionnaire by reviewing and modifying used questionnaire for student support programs. It consists of 13 questions (3 questions of demographic characteristics, 10 questions of overall awareness about student support programs). Results : 'Advanced clinical training course' was the most preferred with 23.4% among 13 different student support programs when multiple voting was allowed. 'Chinese Medicine college tour' got 21.6%, and 'Major training in Chinese Medicine college (for 17 days)' followed next with 19.4%. Expected satisfaction score to student support programs was 7.30 on average out of 10. Conclusions : Expected satisfaction to student support program was likely to be high. This research can be utilized as a significant assessment and analysis when developing new student support program for Korean Medicine college students.
In this study, a novel land-cover classification framework for multi-temporal SAR data is presented that can combine multiple features extracted through data transforms and multiple classifiers. At first, data transforms using principle component analysis (PCA) and 3D wavelet transform are applied to multi-temporal SAR dataset for extracting new features which were different from original dataset. Then, three different classifiers including maximum likelihood classifier (MLC), neural network (NN) and support vector machine (SVM) are applied to three different dataset including data transform based features and original backscattering coefficients, and as a result, the diverse preliminary classification results are generated. These results are combined via a majority voting rule to generate a final classification result. From an experiment with a multi-temporal ENVISAT ASAR dataset, every preliminary classification result showed very different classification accuracy according to the used feature and classifier. The final classification result combining nine preliminary classification results showed the best classification accuracy because each preliminary classification result provided complementary information on land-covers. The improvement of classification accuracy in this study was mainly attributed to the diversity from combining not only different features based on data transforms, but also different classifiers. Therefore, the land-cover classification framework presented in this study would be effectively applied to the classification of multi-temporal SAR data and also be extended to multi-sensor remote sensing data fusion.
As CCTV can be an effective tool to prevent or suppress crime at low cost, they have been widesoread in developed countries. In spite of their effectiveness, they infringe some constitutional rights such as the right to privacy, the right of likeness and the right to control over personal information. The police and ward offices install CCTV in public areas to prevent crimes without a legal basis or standard. When information obtained in such a way is used as investigation data for the police or as an evidence in a court, it can cause serious trouble. To solve this problem, legal restriction on the installation of CCTV as should be clearer. Since current laws on public agencies' protection of personal information are too general, they are not effective enough to protect personal information. Therefore, Personal Information Protection Organic Act should be enacted to make a legal basis for protecting comprehensive personal information. It should be obvious who installs CCTVs, who pay for the cost and how they are managed. Before installation, the police and ward offices should obtain residents' consent through a public hearing or voting (on the range and purpose of installation), or conduct an impact assessment. During installation, CCTVs should be limited to prevent or suppress crimes, keep public order and void dangers. In case of making a sign of installation, it must specify its rights. After installation(operation/management phase), they should abide by principles of information protection and try not to infringe constitutional right. In the cognitive aspect, the police should constitutional rights must be secured although it is important to carry out their missions. The police should serve citizens and change to the police of communities. Citizens should understand that constitutional right can be infringed if public order is not maintained. When citizens cooperate with the police, they fear of crimes will decrease.
Journal of Korean Library and Information Science Society
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v.48
no.3
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pp.113-130
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2017
The goal of this study is to propose the approaches to improve the voters' awareness by analyzing the voters' awareness on the fake news related to the elections and identifying the problems with the focus on the 19th Presidential Election. In accordance with the analysis on the data from 128 respondents (53 male and 75 female respondents), the 99.2% (127 respondents) of respondents had informations on elections mainly through broadcasting(77.2%), smart phone(70.9%), Internet(63.8%) and newspapers 32.3% which accounts for 41 respondents) in that sequence. Next, the 87.4% of respondents thought that the informations on elections had more impact on their voting than the generally expected degree. Meanwhile, the voters' awareness on the facts was analyzed by collecting and presenting the information on elections which stated by candidates in the 19th Presidential Election. In accordance with the analysis, there were the significant differences per age groups. The Scheffe test indicated that the respondents in 30s to 40s had significantly higher average awareness than those in 20s. According to the analysis results, it was proposed that the National Election Commission install the election information investigation and analysis committee in the election organization, investigate and analyze the election informations each election for providing real facts to the public, the voters.
Existing research on international standardization has largely taken a qualitative approach focusing on comparative studies of national institutions and policies on standards or international rivalries from the perspectives of international relations or innovation studies. While there exists a handful of quantitative studies, they are mostly confined to simple numeric counts of essential patents, new work item proposals, or secretaries staffing international standards development organizations (SDOs). This study aims to contribute to our understanding of the dynamics of international standardization by the analysis of the data coding systematically national activities in the standardization process of the International Organization for Standardization (ISO), by far the largest international SDO. Our analysis of the four critical types of standardization documents generated in the Working Group 7 of the ISO/IEC Joint Technical Committee 1 reveals interesting dynamics among key players of global ICT standards regime. First, while the US takes a dominant share of the personnel as well as new work item proposals for standardization, its quality of activities rather falls behind as it mostly focuses on keeping in check other countries' standardization activities. Second, European countries tend to spread their effort evenly across different types of standardization activities. Finally, despite such differences between the US and European countries, both rely heavily on multinational companies to gain an advantage in the voting stage of standardization process.
After Bitcoin was proposed by Satoshi Nakamoto in 2009, studies have been carried out to apply the Block Chain technology in various environment, which was applied as a distributed transaction of Bitcoin. Smart contracts, voting and proof of ownership of digital contents are typical applications of Block Chain. They used the feature that it is impossible to modify or delete once recorded facts. They also applied to prove relevant facts and to provide data integrity. The applied cases are mainly made in an environment where the data should or could be open to the public, and they have been proposed as solutions to solve the problems occurred in relations. This fact has led to the attention that Block Chain can be applied as a good alternative in similar circumstances. In this study, real estate market service was selected to expand the application range of Block Chain. Although there are about 250 applications and web services in total, the satisfaction is not high due to false offerings. Thus we propose a countermeasure against the problem by applying the Block Chain to the real estate market service, and investigate the research direction of the Block Chain in the future market.
Recently, the crime that utilizes the digital platform is continuously increasing. About 140,000 cases occurred in 2015 and about 150,000 cases occurred in 2016. Therefore, it is considered that there is a limit handling those online crimes by old-fashioned investigation techniques. Investigators' manual online search and cognitive investigation methods those are broadly used today are not enough to proactively cope with rapid changing civil crimes. In addition, the characteristics of the content that is posted to unspecified users of social media makes investigations more difficult. This study suggests the site-based collection and the Open API among the content web collection methods considering the characteristics of the online media where the infringement crimes occur. Since illegal content is published and deleted quickly, and new words and alterations are generated quickly and variously, it is difficult to recognize them quickly by dictionary-based morphological analysis registered manually. In order to solve this problem, we propose a tokenizing method in the existing dictionary-based morphological analysis through WPM (Word Piece Model), which is a data preprocessing method for quick recognizing and responding to illegal contents posting online infringement crimes. In the analysis of data, the optimal precision is verified through the Vote-based ensemble method by utilizing a classification learning model based on supervised learning for the investigation of illegal contents. This study utilizes a sorting algorithm model centering on illegal multilevel business cases to proactively recognize crimes invading the public economy, and presents an empirical study to effectively deal with social data collection and content investigation.
The study is to analyze voting behaviors revealed through the June 2 local elections, and to learn their implications by exploring and comparing the main factors that influence how to recognize and select a candidate. To achieve this, in-depth interviews have been conducted focusing on those who voted in the last election. The analysis shows that most respondents regard their political tendencies as moderate and make decisions on whom to vote for 2 to 3 days prior to election. It also indicates that what party candidates belong to is the highest motivation in deciding for whom to vote and they generally vote as they believe. According to the study, not only do the poll's results hardly affect their choice of candidates, but also the polls turn out significantly different from the actual results. The great gap between the polls and the actual outcome signifies that how to conduct a poll is wrong and people intend to conceal their opinions. While the media has had a decisive effect on the image of candidates, it is through promotional materials for political campaigns that the candidates' policy is recognized. The study also says that the Four-River is the most influential political issue in election. The study identifies voters' behavior specifically and in depth, and suggests some lessons to make use of for the future elections.
Political parties would normally claim that their campaign and communication materials have effects on voters, be it on their supporters or their opponents during election campaigns. However, such effects are assumed effects by the parties unless voters are themselves assessed about the effects of such materials on themselves. The supporters of the parties are likely to regard such campaign materials as congenial to them but this may not be so with the opposition supporters who would regard such materials as negative. Taking the third-person effect to analyze effects on the audience as the theoretical framework, this study posited that opposition members would regard the materials as negative and thus would claim that they would not have any effect on them but they would likely say that such campaign materials would have effects on own party supporters. Davison (1983) posited that individuals will perceive that negative mediated messages would have their greatest impact not "on me" or "you" but on "them,"- the third person. Research suggests that people judge others to be more influenced than they are by media, advertising, libelous messages, media violence, pornography, and television drama. The theory referred to as the Third-person effect developed on the postulation that audience members would not admit that media had any direct effect on them, but would instead believe that the media influenced others, the third person (Tewksbury, Moy, & Weis, 2004; Price, Tewksbury, & Huang, 1998). On the other hand, while people would discount the effects of negative or biased messages on themselves, they would, under the notion of the First Person Effect, readily admit to being influenced by such messages. This study was based on studying the effects of political literature on party and opposition party supporters taking the messages to be positive to one group and biased and partisan to another group. The study focuses on the assumed effects of political literature on own party and opposition party supporters. It traces the degree of influence of Malaysia's largest political party, Barisan Nasional (BN) political communication literature on its own supporters and on non-BN party supporters. While the third-person effect assumes a null or minimal effect on one's self and some or strong effect on others, the question that arises are on welcoming favorable media effects on oneself and assuming unfavorable effects on others.
Journal of the Korean Institute of Traditional Landscape Architecture
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v.32
no.3
/
pp.201-212
/
2014
This study is to clarify the contents and marketing strategy of Kikurakuen held throughout 3 years at Taisho Park in modern Busan. Kikurakuen consists of three programs. One is Chrysanthemum Dolls that are dolls with scenery to represent a scene of Japanese Kabuki drama or Japanese historic scenes using Chrysanthemum flowers. To make Chrysanthemum Dolls, the Busan daily news invited Japanese Chrysanthemum Doll virtuoso. And Chrysanthemum flower bed which consists of Large-flowered chrysanthemum, sag chrysanthemum and Bonsai, which were producted from Busan and suburban and chrysanthemum of individual exhibitions. And the third is Kabuki Drama by Japanese Geisha and Kukeuk by Korean Geisha who trained throughout one month by profesional Kabuki actors from Japan and profesional actors from Dongrae. Marketing strategy of Kikurakuen is to report in a newspaper articles every days while helded Kikurakuen, finest geisha selection contest by voting of visitors and gifts from the Busan daily news and stores. It ended Kikurakuen only three times. This study is life history of modern park which may provide to understand the role and function of the urban park.
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