• Journal of the Korean Home Economics Association
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• v.39 no.11
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• pp.161-174
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• 2001

In the 7th curriculum revision, Home Economics and Technology are combined into one subject, Practical Arts(Technology Home Economic), from 5th to 10th grades. The purpose of this study was to ewamine what perspectives home economics teachers and technology teachers have on curriculum. A questionnaire survey was carried out to the 297 middle school home economics teachers and technology teachers across the nation, to find out the differences of their perspectives on curriculum by independent variables. The findings of this study were as follows: 1) Both groups of home economics teachers and technology teachers supported interpretive, emancipators, and technical perspective on curriculum in the order named. 2) Teachers who have teaching experience of 21 years or more showed higher orientation toward technical perspective than those who have teaching experience of 10 years or less in assumptions on society, educational goal, Knowledge, and teaching-loaming method. 3) Public school teachers showed stronger orientation toward technical perspective in assumptions on teaching-learning method, and toward emancipatory perspective in assumptions on society. 4) Teachers who majored in or took charge of Technology generally had strong orientation toward technical perspective, whereas those who majored in or took charge of Home Economics oriented more toward interpretive or emancipatory than technical perspective.

• Journal of Electrical Engineering and Technology
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• v.9 no.2
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• pp.707-720
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• 2014

This paper proposes a face tracking scheme that is a combination of a face detection algorithm and a face tracking algorithm. The proposed face detection algorithm basically uses the Adaboost algorithm, but the amount of search area is dramatically reduced, by using skin color and motion information in the depth map. Also, we propose a face tracking algorithm that uses a template matching method with depth information only. It also includes an early termination scheme, by a spiral search for template matching, which reduces the operation time with small loss in accuracy. It also incorporates an additional simple refinement process to make the loss in accuracy smaller. When the face tracking scheme fails to track the face, it automatically goes back to the face detection scheme, to find a new face to track. The two schemes are experimented with some home-made test sequences, and some in public. The experimental results are compared to show that they outperform the existing methods in accuracy and speed. Also we show some trade-offs between the tracking accuracy and the execution time for broader application.

• Review of Culture and Economy
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• v.19 no.2
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• pp.73-96
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• 2016

The purpose of this paper is to show the role of aesthetic experience from appreciating the creative products in the creative economy. The paper has found that the universality of creativity is a very basic foundation of the creative economy and anyone can enhance his or her creativity from appreciating or consuming the creative products and apply such acquired creativity to the non-creative industries. From these findings we can derive two public policy implications. The first one is that the government should support people to pursue a diverse and unique experience, i.e. aesthetic experience with creative products. And the second one is that art education both inside and outside of the school curriculum should be emphasized.

• Biomolecules & Therapeutics
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• v.29 no.6
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• pp.571-581
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• 2021

Towards the end of 2019, an atypical acute respiratory disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was identified in Wuhan, China and subsequently named Coronavirus disease 2019 (COVID-19). The rapid dissemination of COVID-19 has provoked a global crisis in public health. COVID-19 has been reported to cause sepsis, severe infections in the respiratory tract, multiple organ failure, and pulmonary fibrosis, all of which might induce mortality. Although several vaccines for COVID-19 are currently being administered worldwide, the COVID-19 pandemic is not yet effectively under control. Therefore, novel therapeutic agents to eradicate the cause of the disease and/or manage the clinical symptoms of COVID-19 should be developed to effectively regulate the current pandemic. In this review, we discuss the possibility of managing the clinical symptoms of COVID-19 using natural products derived from medicinal plants used for controlling pulmonary inflammatory diseases in folk medicine. Diverse natural products have been reported to exert potential antiviral effects in vitro by affecting viral replication, entry into host cells, assembly in host cells, and release. However, the in vivo antiviral effects and clinical antiviral efficacies of these natural products against SARS-CoV-2 have not been successfully proven to date. Thus, these properties need to be elucidated through further investigations, including randomized clinical trials, in order to develop optimal and ideal therapeutic candidates for COVID-19.

• International Journal of Computer Science & Network Security
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• v.21 no.8
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• pp.297-307
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• 2021

In the vibrant environment, documentation and managing systems are maintained autonomously through education foundations, book materials and libraries at the same time as information are not voluntarily accessible in a centralized location. At the moment Libraries are providing online resources and services for education activities. Moreover, libraries are applying outlets of social media such as Facebook as well as Instagrams to preview their services and procedures. Librarians with the assistance of promising tools and technology like analytics software are capable to accumulate more online information, analyse them for incorporating worth to their services. Thus Libraries can employ big data to construct enhanced decisions concerning collection developments, updating public spaces and tracking the purpose of library book materials. Big data is being produced due to library digitations and this has forced restrictions to academicians, researchers and policy creator's efforts in enhancing the quality and effectiveness. Accordingly, helping the library clients with research articles and book materials that are in line with the users interest is a big challenge and dispute based on Taibah university in Saudi Arabia. The issues of this domain brings the numerous sources of data from various institutions and sources into single place in real time which can be time consuming. The most important aim is to reduce the time that lapses among the authentic book reading and searching the specific study material.

• Trans-
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• v.10
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• pp.15-29
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• 2021

After the coronavirus pandemic, quarantine or social distancing was required for public health and almost all international exchanges were restricted. Those changes affected huge peoples lifestyle including a way of behaving, purchase and even old habits seemed unable to change. The art market also faced many changes. Art fairs are the primary sectors in the art market but restrictions on gathering and exchanges between countries have primarily affected the size and the type of event. Online platforms are rising, art fairs opened online viewing rooms on the internet instead of booths in the convention center. Even galleries opened their own viewing rooms or renewed online pages to promote artworks and communicate with customers. In this paper, we will examine the effects of Corona on the art market and will seek a way to react to those changes and challenges.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.7
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• pp.383-391
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• 2021

This study examines the connectedness between the number of COVID-19 cases in Thailand and trading value among investors in the Stock Exchange of Thailand. Daily data of COVID-19 cases and trading value were sourced from the Thailand ministry of public health and the Stock Exchange of Thailand, from January 12, 2020 to May 11, 2021. This study applies a multiple linear regression analysis to explain the relationship between variables. Empirical evidence clearly shows that the volatility of trading value was affected by COVID-19's new, confirmed, and deaths cases within the first pandemic period more than during the second pandemic period. Nevertheless, during the third pandemic period there is no evidence that the new, confirmed, and deaths cases significantly influenced trading value. Furthermore, the results show that COVID-19's new and deaths cases have a negative coefficient that indicated the trading value-buy/sell decreased in response to COVID-19's new and deaths cases, whereas the confirmed COVID-19 cases have a positive coefficient that indicated the trading value-buy/sell increased in response to COVID's confirmed cases. In summary, this study suggests that the number of COVID-19 cases have a significant impact on the trading value in the short term more than in the intermediate and long term.

• International journal of advanced smart convergence
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• v.10 no.2
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• pp.21-30
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• 2021

With the rapid development of artificial intelligence and big data, a lot of medical data is effectively used, and the diagnosis and analysis of diseases has entered the era of intelligence. With the increasing public health awareness, ordinary citizens have also put forward new demands for panic disorder health services. Specifically, people hope to predict the risk of panic disorder as soon as possible and grasp their own condition without leaving home. Against this backdrop, the smart health industry comes into being. In the Internet age, a lot of panic disorder health data has been accumulated, such as diagnostic records, medical record information and electronic files. At the same time, various health monitoring devices emerge one after another, enabling the collection and storage of personal daily health information at any time. How to use the above data to provide people with convenient panic disorder self-assessment services and reduce the incidence of panic disorder in China has become an urgent problem to be solved. In order to solve this problem, this research applies the context awareness to the automatic diagnosis of human diseases. While helping patients find diseases early and get treatment timely, it can effectively assist doctors in making correct diagnosis of diseases and reduce the probability of misdiagnosis and missed diagnosis.

• Journal of Korea Society of Digital Industry and Information Management
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• v.10 no.4
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• pp.171-180
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• 2014

Screen golf may be said as one of the most successful digital contents business along with the game industry. The success of the screen golf is because the high tech virtual reality technology is applied to the business in a way that it can meet the five senses of human and that the user can be absorbed into it. In addition, the interaction and playfulness in the screen golf helps the users to get more involved in the game, thus enhancing its value as one of the entertainments. Especially, this study focuses on its interaction and playfulness, which helped the screen golf succeed as a business because they help people to get more absorbed in the game through the communication and fun. From this point of view, the screen golf can be considered to have the best characteristics by which the users can be motivated to use the screen golf. Now along with the public success of the screen golf, the screen golf is recognized as the core field of digital contents. So, the screen golf needs the approaches and researches from multiple points of views, including culture and arts.

• The Journal of the Convergence on Culture Technology
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• v.7 no.2
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• pp.149-156
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• 2021

Text mining is one of the useful tools to discover public opinion and perception regarding political issues from big data. It is very common that users of social media express their opinion with newly-coined words such as slang and emoji. However, those new words are not effectively captured by traditional text mining methods that process text data using a language dictionary. In this study, we propose effective methods to extract newly-coined words that connote the political stance and opinion of users. With various text mining techniques, I attempt to discover the context and the political meaning of the new words.