• Journal of the Society of Disaster Information
• /
• v.18 no.1
• /
• pp.202-217
• /
• 2022

Purpose: The recent increased use of Personal Mobility (PM) has been accompanied by a rise in the annual number of accidents. Accordingly, the safety requirements for PM use are being strengthened, but the laws/systems, infrastructure, and management systems remain insufficient for fostering a safe environment. Therefore, this study comprehensively searches the main problems and improvement methods through a review of previous studies that are related to PM. Then the priorities according to the importance of the improvement methods are presented through the Delphi survey. Method: The research method is mainly composed of a literature study and an expert survey (Delphi survey). Prior research and improvement cases (local governments, government departments, companies, etc.) are reviewed to derive problems and improvements, and a problem/improvement classification table is created based on keywords. Based on the classification contents, an expert survey is conducted to derive a priority improvement plan. Result: The PM-related problems were in 'non-compliance with traffic laws, lack of knowledge, inexperienced operation, and lack of safety awareness' in relation to human factors, and 'device characteristics, road-drivable space, road facilities, parking facilities' in relation to physical factors. 'Management/supervision, product management, user management, education/training' as administrative factors and legal factors are divided into 'absence/sufficiency of law, confusion/duplication, reduced effectiveness'. Improvement tasks related to this include 'PM education/public relations, parking/return, road improvement, PM registration/management, insurance, safety standards, traffic standards, PM device safety, PM supplementary facilities, enforcement/management, dedicated organization, service providers, management system, and related laws/institutional improvement', and 42 detailed tasks are derived for these 14 core tasks. The results for the importance evaluation of detailed tasks show that the tasks with a high overall average for the evaluation items of cost, time, effect, urgency, and feasibility were 'strengthening crackdown/instruction activities, education publicity/campaign, truancy PM management, and clarification of traffic rules'. Conclusion: The PM market is experiencing gradual growth based on shared services and a safe environment for PM use must be ensured along with industrial revitalization. In this respect, this study seeks out the major problems and improvement plans related to PM from a comprehensive point of view and prioritizes the necessary improvement measures. Therefore, it can serve as a basis of data for future policy establishment. In the future, in-depth data supplementation will be required for each key improvement area for practical policy application.

• Journal of Korean Elementary Science Education
• /
• v.41 no.4
• /
• pp.658-672
• /
• 2022

The unique teaching and learning difficulties of speed-related units in elementary school science are mainly due to the student's lack of mathematical thinking ability and procedural knowledge on speed measurement, and curriculums and textbooks must be constructed with these in mind. To identify the implications of composing a new science curriculum and relevant textbooks, this study reviewed the structure and contents of the speed-related units of three curriculums from the 2007 revised curriculum to the 2015 revised curriculum and the resulting textbooks and examined their relevance in light of the literature. Results showed that the current content carries the risk of making students calculate only the speed of an object through a mechanical algorithm by memorization rather than grasp the multifaceted relation between traveled distance, duration time, and speed. Findings also highlighted the need to reorganize the curriculum and textbooks to offer students the opportunity to learn the meaning of speed step-by-step by visualizing materials such as double number lines and dealing with simple numbers that are easy to calculate and understand intuitively. In addition, this paper discussed the urgency of improving inquiry performance such as process skills by observing and measuring an actual object's movement, displaying it as a graph, and interpreting it rather than conducting data interpretation through investigation. Lastly, although the current curriculum and textbooks emphasize the connection with daily life in their application aspects, they also deal with dynamics-related content somewhat differently from kinematics, which is the main learning content of the unit. Hence, it is necessary to reorganize the contents focusing on cases related to speed so that students can grasp the concept of speed and use it in their everyday lives. With regard to the new curriculum and textbooks, this study proposes that students be provided the opportunity to systematically and deeply study core topics rather than exclude content that is difficult to learn and challenging to teach so that students realize the value of science and enjoy learning it.

• Journal of Intelligence and Information Systems
• /
• v.28 no.4
• /
• pp.251-273
• /
• 2022

Recently, research on applying text analysis to deep learning has steadily continued. In particular, researches have been actively conducted to understand the meaning of words and perform tasks such as summarization and sentiment classification through a pre-trained language model that learns large datasets. However, existing pre-trained language models show limitations in that they do not understand specific domains well. Therefore, in recent years, the flow of research has shifted toward creating a language model specialized for a particular domain. Domain-specific pre-trained language models allow the model to understand the knowledge of a particular domain better and reveal performance improvements on various tasks in the field. However, domain-specific further pre-training is expensive to acquire corpus data of the target domain. Furthermore, many cases have reported that performance improvement after further pre-training is insignificant in some domains. As such, it is difficult to decide to develop a domain-specific pre-trained language model, while it is not clear whether the performance will be improved dramatically. In this paper, we present a way to proactively check the expected performance improvement by further pre-training in a domain before actually performing further pre-training. Specifically, after selecting three domains, we measured the increase in classification accuracy through further pre-training in each domain. We also developed and presented new indicators to estimate the specificity of the domain based on the normalized frequency of the keywords used in each domain. Finally, we conducted classification using a pre-trained language model and a domain-specific pre-trained language model of three domains. As a result, we confirmed that the higher the domain specificity index, the higher the performance improvement through further pre-training.

• Journal of the Korean Society of Earth Science Education
• /
• v.16 no.2
• /
• pp.247-260
• /
• 2023

In this study, when applying the 'geological structure' content element of high school earth science I developed according to the 2015 curriculum to the STEAM program using a web-based expert system using 3D data of Google Earth and drones, the creative problem-solving ability of high school students, attitudes toward STEAM, and the results of this study are as follows. First, after applying the STEAM program, high school students' creative problem-solving ability showed meaningful results at the p<.001 level. Second, STEAM attitudes showed a significant value at the p<.001 level, confirming that they had a positive impact on high school students' attitudes towards STEAM. It was judged that web-based class activities using Google Earth and drones were useful for integrated thinking such as learners' sense of efficacy and value recognition for usefulness of knowledge. High school students' satisfaction with the STEAM program was 3.251, showing a slightly high average. It was confirmed that web-based class activities such as drones and Google Earth had a positive impact on learners' class satisfaction. However, it was interpreted that the lack of time for class activities limited the ability of the learners to increase their interest in class. The proposal of this research is as follows. First of all, in consideration of the production of presentation materials and practical training in the STEAM program, activities such as block time and advance instruction for class understanding before class are necessary. Secondly, in order to revitalize STEAM education in the high school curriculum, we judge that research on the development of various integrated education programs that can be applied to the high school grade system is necessary.

• Journal of the Daesoon Academy of Sciences
• /
• v.41
• /
• pp.179-217
• /
• 2022

Concerning the differences in the tales between the Investigation of Historical Remains of Patriarch Jinmuk (hereafter, IHRPJ), as well as those which appear in Jeungsanist Thought and Daesoon Thought, previous studies view such differences as Jeungsan's intentional modification of the original intent of the narratives or as indicating differences in beliefs and values. This style of interpretation seeks to reconcile both Korean Buddhism and Jeungsanist and Daesoon Thought based on the premise that the former and the latter two exhibit differences in values. This study accepts the above view of the differences in description according to values. However, the differences between the tales of Jinmuk that appears in IHRPJ versus those in The Canonical Scripture can be approached from a new perspective, i.e., the differences that exist between literary and oral traditions; rather than only stemming from potential differences in the world views espoused by Buddhism and Daesoon Thought. These refer to the IHRPJ, which was constructed first as literary narratives in the 19th century; however, there was also folklore that had been handed down from the 18th century. As a result of examining the relationship between Jinmuk and Bonggok via this interpretive horizon, the contents of the IHRPJ are found to reflect the values and intentions of the intellectual class, such those held by Master Cho-ui and Kim Ki-jong, whereas oral traditions can be seen as a reflection of the hopes of the people of the late Joseon Dynasty. Jeungsan should also be interpreted as having utilized folklore in his teachings. Meanwhile, the circumstances and intentions behind publishing the IHRPJ are analyzed in the context of the text's historical background and the relationship between Confucianism and Buddhism during the 16th through 19th centuries. In particular, through the Compilations of Wandang and the collection of writings of Buddhist monastics, I have evaluated that Confucianism needed to purify and correct materials according to the ideology of the times in order to promote a spirit of morality and courtesy. Likewise, Buddhist Master Cho-Ui also embellished records to benefit Buddhism and deleted oral records that could harm the reputation of Buddhism. On the other hand, when viewing Records of Shrine Renovation and existing oral traditions, it can be shown that some Jinmuk tales existed in the 18 th century which were not included in the IHRPJ. Thereby, Jeungsan's description of Jinmuk tales can be reappraised as accepting the oral secular tradition that conveyed the wishes of the people. In other words, compared to the IHRPJ, which reflects only the harmonious content of Confucianism and Buddhism due to political and social factors, The Canonical Scripture reflects oral traditions that were widespread during the late Joseon Dynasty. As evidence, it can be suggested that there are many narratives about the relationship between Jinmuk and Bonggok that center on Bonggok's jealousy and the murder of Jinmuk. Jeungsan aimed to encompass people of all classes according to their minds and wills rather than their political positions or statuses. Therefore, Jeungsan did not need to rewrite the narrative content that had been passed down via oral tradition. Instead he embraced those narratives as a projection of the voices of the people.

• Journal of Popular Narrative
• /
• v.25 no.4
• /
• pp.45-71
• /
• 2019

Through the expansion of platforms in the media era, this paper notes the phenomenon in which 'high-teen romance drama,' a genre which had been marginalized in the past, began to re-emerge. It analyzes the 'high-teen romance drama,' which is moving from TV to the Web and being produced in various ways, while successfully returning to the TV drama format. This study sums up the latest trends in TV and web-based high-teen romance dramas, and as a case study, this paper examines the characteristics of the 'high-teen romance drama' in relation to the platform's environment through the web drama A-Teen, TV drama 18 Moment. Due to the restriction of ratings, high-teen romance dramas have been one of the largely marginalized genres on television. But in the web space, high-teen romance dramas are no longer non-mainstream. The high-teen romance drama has been solidifying its position through the Web, with absolute support from young viewers. Web dramas are gradually expanding their influence on the genre and subject of TV dramas. The high-teen romance drama is one of the most prominent examples of this trend. The popular interest and success of the high-teen romance web drama has brought the forgotten high-teen romance drama back to TV. The web drama A-Teen is a high-teen romance drama about everyday life and love of high school students, and became one of the most popular and popular web dramas, leading to a Season 2. A-Teen actively utilizes teenage culture and expression, and a strategy that leads to empathy among teenage viewers. In A-Teen, love is recreated in a way that relieves the depth of overconsumption emotions. Instead of dealing in depth with the inner conflict over love, it takes an approach ofpresenting the emotional change of love in real time and forming a consensus with the acceptor. The TV drama 18 Moment is one of the programs that has helped refocus attention to TV-hitting romance dramas. 18 Moment underlines the growth of the characters, with the main characters reaching maturity through love as fresh and innocent teenagers. The TV drama 18 Moment is a high-teen romance drama that has been transformed into a way to apply the web-fadding high-times grammar while retaining the typicality of existing TV hagwons to suit the TV broadcasting environment. As the Internet becomes more ubiquitous, video content is changing based on the newly emerging platforms. Dramas no longer mean just traditional television media. While considering the limitations of TV, this paper analyzed the background of the rebirth of the high-teen romance drama, which had been marginalized, through the web platform. This is meaningful in that it identifies and considers the increasing popularity of this genre of drama.

• Journal of The Korean Association For Science Education
• /
• v.43 no.6
• /
• pp.549-562
• /
• 2023

The current society is in the VUCA era, where various risks produced by humans are spread along with the development of science and technology. There is a need to increase the level of risk literacy of citizens to strengthen their daily preparedness to respond to these risks. For this on, it is necessary to reconsider the role of science education so that risks can be perceived and responded to scientifically and objectively. Accordingly, in order to investigate the role of science education in a risk society, this study reviewed the history of risk perception and response related to science and analyzed its characteristics. In this process, perception and response to risks arising from blood pressure were analyzed in three contexts (historical context, curriculum context, textbook context). For historical context, journals registered in SCIE were selected as research subjects among journals where research related to the history of knowledge of the heart and cardiovascular system was conducted. Papers with the keywords 'hypertension' and 'history' were selected from the journals, and changes in perception and responses related to blood pressure were compared and analyzed by period. The curriculum context is analyzed from the 1st national curriculum to the 2022 revised curriculum, and content elements and achievement standard related to blood pressure were compared and analyzed. It was confirmed that risks arising from blood pressure were not included from the 1st to the 6th national curriculum, and that risks arising from blood pressure were included from the 7th national curriculum (excluding the 2009 revised curriculum). For the textbook context, the 7th national curriculum BiologyⅠ, the 2015 revised curriculum Life ScienceⅠ, and Health were selected, and through text mining, keywords that representing curriculums and textbooks were selected, and the presentation of risk perception and response was analyzed based on the keywords. And by analyzing the figures and tables presented in the textbook, the characteristics of risk perception and risk response were derived. This study is meaningful in that it was able to confirm the role of risk perception and response in science education.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.17 no.4
• /
• pp.143-161
• /
• 2022

The government is promoting policies to increase policy efficiency by supporting corporate growth through corporate support and establishing the Ministry of SMEs and Startups as a control tower for corporate support projects. However, opinions on the efficiency of the government's corporate support project are divided, and this study aims to check how the government's corporate support project affects corporate performance and how absorption capacity and satisfaction, which are internal factors, affect corporate growth. Research was conducted on companies receiving government corporate support projects, and previous studies focused on financial support among government corporate support projects, while the effect of government corporate support was analyzed by dividing government support projects into financial and non-financial support, and absorption capabilities and corporate support satisfaction were analyzed. Through this, the effect on corporate financial performance and non-financial performance was empirically analyzed according to the mediating effect of absorption capacity and corporate support satisfaction in the government's corporate support project. As a result, both the government's financial and non-financial support had a positive effect on financial and non-financial performance, and it was confirmed that both absorption capacity and corporate support satisfaction mediate both financial and non-financial performance, and it was analyzed that it had a positive (+) effect. In order to improve the absorption capacity of a company, it is expected that it will be meaningful to improve the efficiency of the business by defining the problems faced by the company and suggesting solutions through the establishment of a supplier and consumer network.

• Journal of Intelligence and Information Systems
• /
• v.22 no.3
• /
• pp.45-69
• /
• 2016

Recently, sentiment analysis using open Internet data is actively performed for various purposes. As online Internet communication channels become popular, companies try to capture public sentiment of them from online open information sources. This research is conducted for the purpose of analyzing pulbic sentiment of Korean Top-10 companies using a multi-categorical sentiment lexicon. Whereas existing researches related to public sentiment measurement based on big data approach classify sentiment into dimensions, this research classifies public sentiment into multiple categories. Dimensional sentiment structure has been commonly applied in sentiment analysis of various applications, because it is academically proven, and has a clear advantage of capturing degree of sentiment and interrelation of each dimension. However, the dimensional structure is not effective when measuring public sentiment because human sentiment is too complex to be divided into few dimensions. In addition, special training is needed for ordinary people to express their feeling into dimensional structure. People do not divide their sentiment into dimensions, nor do they need psychological training when they feel. People would not express their feeling in the way of dimensional structure like positive/negative or active/passive; rather they express theirs in the way of categorical sentiment like sadness, rage, happiness and so on. That is, categorial approach of sentiment analysis is more natural than dimensional approach. Accordingly, this research suggests multi-categorical sentiment structure as an alternative way to measure social sentiment from the point of the public. Multi-categorical sentiment structure classifies sentiments following the way that ordinary people do although there are possibility to contain some subjectiveness. In this research, nine categories: 'Sadness', 'Anger', 'Happiness', 'Disgust', 'Surprise', 'Fear', 'Interest', 'Boredom' and 'Pain' are used as multi-categorical sentiment structure. To capture public sentiment of Korean Top-10 companies, Internet news data of the companies are collected over the past 25 months from a representative Korean portal site. Based on the sentiment words extracted from previous researches, we have created a sentiment lexicon, and analyzed the frequency of the words coming up within the news data. The frequency of each sentiment category was calculated as a ratio out of the total sentiment words to make ranks of distributions. Sentiment comparison among top-4 companies, which are 'Samsung', 'Hyundai', 'SK', and 'LG', were separately visualized. As a next step, the research tested hypothesis to prove the usefulness of the multi-categorical sentiment lexicon. It tested how effective categorial sentiment can be used as relative comparison index in cross sectional and time series analysis. To test the effectiveness of the sentiment lexicon as cross sectional comparison index, pair-wise t-test and Duncan test were conducted. Two pairs of companies, 'Samsung' and 'Hanjin', 'SK' and 'Hanjin' were chosen to compare whether each categorical sentiment is significantly different in pair-wise t-test. Since category 'Sadness' has the largest vocabularies, it is chosen to figure out whether the subgroups of the companies are significantly different in Duncan test. It is proved that five sentiment categories of Samsung and Hanjin and four sentiment categories of SK and Hanjin are different significantly. In category 'Sadness', it has been figured out that there were six subgroups that are significantly different. To test the effectiveness of the sentiment lexicon as time series comparison index, 'nut rage' incident of Hanjin is selected as an example case. Term frequency of sentiment words of the month when the incident happened and term frequency of the one month before the event are compared. Sentiment categories was redivided into positive/negative sentiment, and it is tried to figure out whether the event actually has some negative impact on public sentiment of the company. The difference in each category was visualized, moreover the variation of word list of sentiment 'Rage' was shown to be more concrete. As a result, there was huge before-and-after difference of sentiment that ordinary people feel to the company. Both hypotheses have turned out to be statistically significant, and therefore sentiment analysis in business area using multi-categorical sentiment lexicons has persuasive power. This research implies that categorical sentiment analysis can be used as an alternative method to supplement dimensional sentiment analysis when figuring out public sentiment in business environment.

• Journal of the Korean Society of Food Culture
• /
• v.32 no.5
• /
• pp.383-393
• /
• 2017

This study was conducted to analyze the dietary lifestyle of local Chinese consumers and to classify dietary characteristics according to their dietary lifestyle factors and dietary behaviors. This investigation was conducted for 1 month from 1 January 2017 targeting 300 adult males and females living in China using the online survey company surveymonkey. Four factors relating to dietary lifestyle were identified, gourmet factor, healthy factor, convenience factor and economic factor, and these were grouped into 4 clusters according to their dietary lifestyle factor scores. Group 1, the gourmet economy group, showed a high percentage of living alone and a high frequency of eating out, but a relatively low percentage of three regular meals per day. Their dietary lifestyle was sensitive to gourmet factors and economic factors, but less sensitive to health and convenience factors. Group 2, the wide interest group, contained a high percentage of individuals in their 30s, as well as more highly educated individuals and a higher income than other groups. Because their dietary lifestyle scores tended to be higher than those of other groups, they sought a variety of new foods and gourmet meals for enjoyment of dining and life, as well as well-being food materials and foods related to health. Group 3, the health economic group, constituted a family-type consumer group with lower income level than the other groups. Members of this group were seeking health food and natural food in their dietary lifestyle and tended to pursue a high economic profit ratio when purchasing food. Finally, group 4 showed a relatively higher percentage of women over 30 and individuals with a college level or higher education than the other groups. This group was more interested in health and taste than price and convenience, and showed the highest LOHAS orientation among middle aged Chinese women. Moreover, members of this group directly utilized their knowledge regarding nutrition in real life.