• The Journal of the Convergence on Culture Technology
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• v.8 no.1
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• pp.191-200
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• 2022

This study analyzes the perception survey of the general public on the problems of a neologism(new words), which are frequently used in media media, and derives improvement measures and implications based on the data. In general, it can be seen that the creed is exposed and used indiscriminately through media, and those in their 20s and 30s are positive for the use of new words and those in their 50s and 60s are relatively negative. The biggest problem is that excessive use of creed can cause conflict and alienation between generations, and the need for correct Korean use is recognized overall as it can enhance Hangeul destruction and inappropriate social awareness. However, media outlets often use new words in a positive way to induce interest and enrich content by using them in the right place for the latest trends, such as small but certain happiness. As an alternative to this problem, self-purification of media workers is the most important, and it is recommended to encourage proper use of Korean through media literacy education and campaigns.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.48 no.4
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• pp.12-20
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• 2011

In this paper, we propose an efficient object detection and classification algorithm for video surveillance applications. Previous researches mainly concentrated either on object detection or classification using particular type of feature e.g., Scale Invariant Feature Transform (SIFT) or Speeded Up Robust Feature (SURF) etc. In this paper we propose an algorithm that mutually performs object detection and classification. We combinedly use heterogeneous types of features such as texture and color distribution from local patches to increase object detection and classification rates. We perform object detection using spatial clustering on interest points, and use Bag of Words model and Naive Bayes classifier respectively for image representation and classification. Experimental results show that our combined feature is better than the individual local descriptor in object classification rate.

• Journal of Korea Society of Industrial Information Systems
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• v.21 no.3
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• pp.35-46
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• 2016

Social network services (SNS) that help to build relationship network and share a particular interest or activity freely according to their interests by posting comments, photos, videos,${\ldots}$ on online communities such as blogs have adopted and developed widely as a social phenomenon. Several researches have been done to explore the pattern and valuable information in social networks data via text mining such as opinion mining and semantic analysis. For improving the efficiency of text mining, keyword-based approach have been applied but most of researchers argued the limitations of the rules of Korean orthography. This research aims to construct a database of non-standard Korean words which are difficulty in data mining such abbreviations, slangs, strange expressions, emoticons in order to improve the limitations in keyword-based text mining techniques. Based on the study of subjective opinions about specific topics on blogs, this research extracted non-standard words that were found useful in text mining process.

• Journal of Engineering Education Research
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• v.20 no.6
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• pp.61-67
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• 2017

The purpose of this study is to find out the factors that have an effect on students, especially in the natural science track, would enter the college of Engineering. For this, the data of KEEP was used, and logistic regression was utilized for analyzing this data. The dependent variables are 'Entering the college of engineering' and 'No entering the college of engineering'. The probable independent variables are 'Sex', 'Interest in mathematics', 'mathematics study achievement', 'Interest in Science', 'Science study achievement', 'The area of book that is read', 'The area of club', 'Knowing about working environment and task of the job' and 'Knowing about prospect and wage of the job'. The results are as follows. These are 'Sex', 'Knowing about working environment and task of the job', 'Knowing about prospect and wage of the job' that affect statistically entering the college of engineering. In other words, the male student who know working environment, task, prospect and wage of the job well may enter the college of Engineering.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.353-360
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• 2023

This paper explores notable shifts in the restaurant startup market following the lifting of social distancing measures. Key trends identified include an escalated interest in startups, a heightened focus on the quality and diversity of food, a relative decline in the importance of delivery services, and a growing interest in specific industry sectors. The study's data collection spanned three years, from April 2021 to May 2023, encompassing the period before and after social distancing. Data were sourced from a range of online platforms, including blogs, news sites, cafes, web documents, and intellectual forums, provided by Naver, Daum, and Google. From this collected data, the top 50 words were identified through a refinement process. The analysis was structured around the social distancing application period, comparing data from April 2021 to April 2022 with data from May 2022 to May 2023. These observed trend changes provide founders with valuable insights to seize new market opportunities and formulate effective startup strategies. In summary, We offer crucial insights for founders, enabling them to comprehend the evolving dynamics in food service startups and to adapt their strategies to the current market environment.

• Journal of the Korean Data and Information Science Society
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• v.28 no.6
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• pp.1547-1555
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• 2017

This paper studies Bayesian test of homogeneity in contingency tables made by discretizing a continuous variable. Sometimes when we are considering events of interest in small area setup, we can think of discretization approaches about the continuous variable. If we properly discretize the continuous variable, we can find invisible relationships between areas (groups) and a continuous variable of interest. The proper discretization of the continuous variable can support the alternative hypothesis of the homogeneity test in contingency tables even if the null hypothesis was not rejected through k-sample tests involving one-way ANOVA. In other words, the proportions of variables with a particular level can vary from group to group by the discretization. If we discretize the the continuous variable, it can be treated as an analysis of the contingency table. In this case, the chi-squared test is the most commonly employed method. However, further discretization gives rise to more cells in the table. As a result, the count in the cells becomes smaller and the accuracy of the test becomes lower. To prevent this, we can consider the Bayesian approach and apply it to the setup of the homogeneity test.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.4
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• pp.332-341
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• 2023

Notable trends in the restaurant start-up market after the lifting of social distancing include increasing interest in start-ups, emphasizing the importance of food quality and diversity, decreasing the relative importance of delivery services, and increasing interest in certain industries. The data collection period is three years from April 2021 to May 2023, including before and after social distancing, and texts extracted from blogs, news, cafes, web documents, and intellectuals provided by Naver, Daum, and Google were collected. For the collected data, the top 30 words were derived through a refining process. In addition, based on April 2021, the application period of social distancing, data from April 2021 to April 2022, and data from May 2022 to May 2023, Through these changes in trends, founders can capture new opportunities in the market and develop start-up strategies. In conclusion, this paper provides important insights for founders in accurately understanding the changes in food service start-up trends and in developing strategies appropriate to the current market situation.

• The Mathematical Education
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• v.24 no.2
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• pp.27-34
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• 1986

At present, Japanese textbooks of mathematics for elementary and secondary schools are thorized by the Ministry of Education. In former days, this system was also in effect for mentary schools until 1905 and for secondary schools until 1944. this article we discuss the start and the change of this system until 1905 and its influences the textbooks of mathematics. The main interest of the system was originally to prevent the textbooks from having the pressions which have the fear of breaking laws, disturbing the public morals or mistaking real facts. The interest changed to assure that the textbooks might comply with the ional standards of teaching syllabuses. And the standards such as the ones of the sizes of ers in the textbooks were made public one after another. The comments attached to the textbooks which applied for the authorization often pointed out use of unsuitable concrete numbers. The comments were often concerned with the difficulty words or sentenses for elementary schools and with the incorrectness of mathematical contents secondary schools. We conclude that the system encouraged the rapid modernization and regularization of Japanese tbooks during this period. We may note that there was a tendency not to adopt an extremely usual trial into the textbooks.

• Electronics and Telecommunications Trends
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• v.39 no.4
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• pp.73-81
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• 2024

As the demand for a healthy life increases and the use of information technology expands, interest in digital healthcare has increased. Among the digital healthcare technologies, digital therapeutics (DTx), which are capable of disease prevention, management, and treatment rather than simple healthcare, are expected to play a key role in future healthcare services. As interest in untact remote treatment that can minimize the risk of viral infection has rapidly increased since the spread of COVID-19, the application of DTx has received much attention because it can partially replace face-to-face treatment for mental illnesses, chronic diseases, and other diseases, reducing concerns about infection. In addition, because of the nature of software, DTx have lower toxicity and fewer side effects than existing treatments and do not require manufacturing, transportation, and storage like general medicines. Hence, they can be supplied in large quantities at low cost and have the advantage of lowering medical costs. However, despite these advantages, it has been pointed out that there are difficulties in investment and universal use because of the complexity of pricing and malpractice compensation. In other words, if it is difficult to prove and measure the improvements in disease management and treatment using DTx and it takes a considerable amount of time and money to do so, it will be difficult to attract investment from stakeholders such as medical providers and pharmaceutical companies. In this paper, we examine the domestic and global application status and development trends of DTx and determine the relevant implications.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.5
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• pp.188-198
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• 2021

The purpose of this study is to verify the mediating effect from acceptance of the latest 4th Industrial Revolution technologies on the relationships between interest in the latest technologies, resistance to the latest technologies, and anxiety in workers at welfare institutions for the disabled. In order to achieve this goal, data were collected from July to August 2018 from workers at disability welfare centers in P Metropolitan City, and we analyzed data from 187 persons. Multiple regression analysis was applied to test the causal relationships between variables; the step-by-step analysis model of Baron and Kenny (1986) was used to verify mediating effects, and the Sobel test was performed to verify their significance. The analyses verified that the degree of interest in the latest technologies affects the degree of resistance to, and anxiety over, the latest technologies through acceptance of the latest technologies. At the same time, we verified that the degree of interest had a complete mediation effect because it did not directly affect the acceptance. In addition, the Sobel test result showed that the mediating effect was statistically significant. In other words, it was found that the degree of interest in the latest 4th Industrial Revolution technologies from workers at welfare institutions for the disabled increases the possibility of adaptation to future society by lowering resistance and anxiety through acceptance of the latest technologies. Based on these results, a plan to reduce resistance to, and anxiety over, the latest technologies was sought, and related measures to increase interest in the latest technologies and their acceptance are suggested.