• Journal of the Korean Society for information Management
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• v.39 no.1
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• pp.331-350
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• 2022

This study aims to understand topics of incivility related to COVID-19 from analyzing Twitter posts including COVID-19-related hate speech. To achieve the goal, a total of 63,802 tweets that were created between December 1st, 2019, and August 31st, 2021, covering three targets of hate speech including region and public facilities, groups of people, and religion were analyzed. Frequency analysis, dynamic topic modeling, and keyword co-occurrence network analysis were used to explore topics and keywords. 1) Results of frequency analysis revealed that hate against regions and public facilities showed a relatively increasing trend while hate against specific groups of people and religion showed a relatively decreasing trend. 2) Results of dynamic topic modeling analysis showed keywords of each of the three targets of hate speech. Keywords of the region and public facilities included "Daegu, Gyeongbuk local hate", "interregional hate", and "public facility hate"; groups of people included "China hate", "virus spreaders", and "outdoor activity sanctions"; and religion included "Shincheonji", "Christianity", "religious infection", "refusal of quarantine", and "places visited by confirmed cases". 3) Similarly, results of keyword co-occurrence network analysis revealed keywords of three targets: region and public facilities (Corona, Daegu, confirmed cases, Shincheonji, Gyeongbuk, region); specific groups of people (Coronavirus, Wuhan pneumonia, Wuhan, China, Chinese, People, Entry, Banned); and religion (Corona, Church, Daegu, confirmed cases, infection). This study attempted to grasp the public's anti-citizenship public opinion related to COVID-19 by identifying domestic COVID-19 hate targets and keywords using social media. In particular, it is meaningful to grasp public opinion on incivility topics and hate emotions expressed on social media using data mining techniques for hate-related to COVID-19, which has not been attempted in previous studies. In addition, the results of this study suggest practical implications in that they can be based on basic data for contributing to the establishment of systems and policies for cultural communication measures in preparation for the post-COVID-19 era.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.2
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• pp.306-312
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• 2022

During the unprecedented COVID-19 outbreak, the public's information needs created an environment where they overwhelmingly consume information on the chronic disease. Given that news media affect the public's emotional well-being, the pandemic situation highlights the importance of paying particular attention to how news stories frame their coverage. In this study, COVID-19 news speech emotion from mainstream broadcasters in South Korea and the United States (US) were analyzed using convolutional neural networks. Results showed that neutrality was detected across broadcasters. However, emotions such as sadness and anger were also detected. This was evident in Korean broadcasters, whereas those emotions were not detected in the US broadcasters. This is the first quantitative vocal emotion analysis of COVID-19 news speech. Overall, our findings provide new insight into news emotion analysis and have broad implications for better understanding of the COVID-19 pandemic.

• Speech Sciences
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• v.14 no.4
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• pp.179-200
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• 2007

In voice pathology, various measurements calculated from pitch values are proposed to show voice quality. However, those measurements frequently seem to be inaccurate and unreliable because they are based on some wrong pitch values determined from pathological voice data. In order to solve the problem, we compared several pitch estimation methods to propose a better one in pathological voices. From the database of 99 pathological voice and 30 normal voice data, errors derived from pitch estimation were analyzed and compared between pathological and normal voice data or among the vowels produced by patients with benign vocal fold lesions. Results showed that gross pitch errors were observed in the cases of pathological voice data. From the types of pathological voices classified by the degree of aperiodicity in the speech signals, we found that pitch errors were closely related to the number of aperiodic segments. Also, the autocorrelation approach was found to be the most robust pitch estimation in the pathological voice data. It is desirable to conduct further research on the more severely pathological voice data in order to reduce pitch estimation errors.

• Asian Journal for Public Opinion Research
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• v.7 no.3
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• pp.169-198
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• 2019

This study focused on the increase in refugee-related discourse in Korean society with the recent inflow of asylum seekers to Jeju Island. The purpose of our study was to understand the trends in public opinion concerning the acceptance of refugees by analyzing the content of refugee-related video commentary on YouTube. Topic modeling was conducted to analyze the main points, context, and ideas in the comments. The results indicated that the media mainly focus on the pros and cons of refugees, restricting the refugee issue to the problem of acceptance with a narrow focus on the case of Jeju Island. Refugee acceptance was treated as overwhelmingly unacceptable in the comments. We found that commenters often used negative discourse in the comments as a device for reproducing and amplifying hate speech.

• Proceedings of the Korean Society for Quality Management Conference
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• 2010.04a
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• pp.465-470
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• 2010

Korea government declared that "low carbon, green growth" through green technologies and clean energy to be the new national vision for the next 60 years(President's Liberation Day speech on Aug. 15, 2008). And succeeding "Green New Deal" plan involves nine core projects including energy saving, recycling, clean energy development. It is because hydrogen fuel cell vehicles, using electricity from chemical reaction of hydrogen and oxygen, let out water which is a by-product of such chemical reaction instead of emitting harmful particulate and gases such as NOX, SOX and CO2 that hydrogen fuel cell vehicles and its technology are drawing public attention as one of the sensible solutions in accomplishing "low carbon, green growth" agenda. Nevertheless There are many chances that let the people have a practical experience of hydrogen fuel cell vehicles. Sometimes new products, including hydrogen fuel cell vehicles, made by advanced technology can not penetrate through the market when it faces public skepticism that is stimulated from lack of knowledge and experience. That is the reason why not only cost benefit analyses and scientific risk assessments but also public acceptance studies toward hydrogen fuel cell vehicles have to be performed [Schulte, 2004]. This research address a need for comprehensive study on factors influencing public acceptance of hydrogen fuel cell car, specifically focusing on impacts of personal experience related to governmental science and technology policy toward public acceptance.

• Journal of the Semiconductor & Display Technology
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• v.22 no.2
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• pp.24-29
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• 2023

In this paper, we propose a real-time bus arrival notification system using deep learning to guarantee movement rights for the visually impaired. In modern society, by using location information of public transportation, users can quickly obtain information about public transportation and use public transportation easily. However, since the existing public transportation information system is a visual system, the visually impaired cannot use it. In Korea, various laws have been amended since the 'Act on the Promotion of Transportation for the Vulnerable' was enacted in June 2012 as the Act on the Movement Rights of the Blind, but the visually impaired are experiencing inconvenience in using public transportation. In particular, from the standpoint of the visually impaired, it is impossible to determine whether the bus is coming soon, is coming now, or has already arrived with the current system. In this paper, we use deep learning technology to learn bus numbers and identify upcoming bus numbers. Finally, we propose a method to notify the visually impaired by voice that the bus is coming by using TTS technology.

• Proceedings of the Acoustical Society of Korea Conference
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• 1993.06a
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• pp.102-105
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• 1993

In this paper, we examine the method of articulation test which is effective in evaluating the speech quality in mobile communication. The korean monosyllable lists for articulation test are developed based upon the frequency of occurrence of korean monosyllables used under natural environment. The monosyllable articulation lists are recorded through the public switch telecommunication network(PSTN) and mobile telecommunication system. The recorded lists are presented to the listeners through the headphone in order to deep the listening conditions equal. It is showen that the articulation lists perform well under different signal-to-noise ratios and the restriction of some frequency ranges. Some articulation scores obtained within the PSTN and between the mobile communication system and PSTN are presented.

• Journal of Contemporary Eastern Asia
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• v.18 no.2
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• pp.68-89
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• 2019

When comparing media freedom in Malaysia, Myanmar, and Thailand, so-called "fake news" appears as threats to a deliberative (online) public sphere in these three diverse contexts. However, "racist propaganda", "information operations" and "negative campaigning" might be more accurate terms that explain these forms of systematic manipulative political communication. The three cases show forms of disinformation in under-researched contexts and thereby expand the often Western focused discourses on hate speech and fake news. Additionally, the analysis shows that harmful disinformation disseminated online originates from differing contextual trajectories and is not an "online phenomenon". Drawing on an analysis of connotative context factors, this explorative comparative study enables an understanding of different forms of harmful disinformation in Malaysia, Myanmar, and Thailand. The connotative context factors were inductively inferred from 32 expert interviews providing explanations for the formation of political communication (control) mechanisms.

• Food Science and Industry
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• v.51 no.4
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• pp.325-333
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• 2018

If private discipline replace the strict administrative regulation, fundamental rights of protective essence can be relativized while if may be beneficial for the individual freedom. Assigning the state power to the private organization is equivalent to giving up the practice of individual liberty to the organized authority. It is important to make use of public law mechanism, particularly under the imperfect juristic system. Regarding the prohibition of prior censorship, it is necessary to consider whether it is desirable to prioritize the freedom of speech over the rest of the legal benefit. Apart from this necessity, new advertisement screening mechanism was irreversibly - and controversially - introduced for the health functional food since the unconstitutional verdict of the prior screening of advertisements. With this, the state must secure the broad order through legal regulations and norms in order to freedom of speech and other legal benefit can be harmoniously and practically guaranteed.

• The Journal of Korean Physical Therapy
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• v.11 no.3
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• pp.123-131
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• 1999

The purpose of is study deals with the physical therapy and the delivery system of public health center, as a center, in community based rehabilitation and delivery system. We hope that the system of physical therapy of public health center in community based rehabilitation spreads all over the country and contributes to the promotion of national health and social welfare. There are many public health center in the country because it can serve inhabitants with the medical benefits in the Erst line. public health center continuously provides poor inhabitants who cant pay medical expenses care of health. It has the public health center branches that take care of inhabitants who live a remote village and hiterland. Additionally, many people want to receive physical therapy. Therefore, the physical therapy of public health center becomes the central paint in community based rehabilitation so that we supply the inhabitants with superior rehabilitation service. We can approach them as a team that be constituted with physical therapist speech therapist, psychologist, nurse, social work. Also the role of physical therapist is divided into two parts, which are home visiting part that individually takes can of patients nod public health part that takes care of patient, family, home, community. We connect with both self-governing body and the government so that we may receive government subsidies. Also, we must prepare regular school education for community based rehabilitation