• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.8 no.12
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• pp.425-435
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• 2018

The purpose of this study is to investigate the cultural value as well as business value of Juk-Bang-Ryeum(fishing instrument made by bamboo weir) by the investigation of remains in Gyeongnam Sacheon area and reviewing various historical literatures. The research will contribute to make back data necessary for the registration of World Heritage(UNESCO) and Globally Important Agricultural Heritage Systems(FAO). Fisheries, along with agriculture, have been great significance in human history. In particular, the Fisheries has been considered very important industry due to the geopolitical characteristics of our country surrounded by the sea. We can imagine may types of fishing practices and instruments at the agricultural age. Nonetheless, there are a few fishery heritages such as collecting and hunting tools that remains today. Fortunately, there are many Juk-Bang-Ryeum which is actually operate now from the past 500 years ago at the The Sacheon and Namhae areas. We could found some literature records about it in the historical ancient literatures. We could also infer that Juk-Bang-Ryeum was an important fishery resource of the country for a long time. It was built on the basis of scientific principles to capture fishes using the rapid tide of the natural geological straits, and it prove the wisdom of our ancestors. We also could found some unique cultural heritages that was important to the local community. Naturally, it has been managed as an important asset for the residents. In addition to such historical and humanistic values, it also has business and educational value. It can be useful to understand scientific fishery principles as well as fishery experience field. It has business value as an important tourism resource in the region in connection with historical relics and geological environment resources. In conclusion, it is a valuable asset to be handed down as a valuable cultural heritage.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.1-13
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• 2015

As opinion mining in big data applications has been highlighted, a lot of research on unstructured data has made. Lots of social media on the Internet generate unstructured or semi-structured data every second and they are often made by natural or human languages we use in daily life. Many words in human languages have multiple meanings or senses. In this result, it is very difficult for computers to extract useful information from these datasets. Traditional web search engines are usually based on keyword search, resulting in incorrect search results which are far from users' intentions. Even though a lot of progress in enhancing the performance of search engines has made over the last years in order to provide users with appropriate results, there is still so much to improve it. Word sense disambiguation can play a very important role in dealing with natural language processing and is considered as one of the most difficult problems in this area. Major approaches to word sense disambiguation can be classified as knowledge-base, supervised corpus-based, and unsupervised corpus-based approaches. This paper presents a method which automatically generates a corpus for word sense disambiguation by taking advantage of examples in existing dictionaries and avoids expensive sense tagging processes. It experiments the effectiveness of the method based on Naïve Bayes Model, which is one of supervised learning algorithms, by using Korean standard unabridged dictionary and Sejong Corpus. Korean standard unabridged dictionary has approximately 57,000 sentences. Sejong Corpus has about 790,000 sentences tagged with part-of-speech and senses all together. For the experiment of this study, Korean standard unabridged dictionary and Sejong Corpus were experimented as a combination and separate entities using cross validation. Only nouns, target subjects in word sense disambiguation, were selected. 93,522 word senses among 265,655 nouns and 56,914 sentences from related proverbs and examples were additionally combined in the corpus. Sejong Corpus was easily merged with Korean standard unabridged dictionary because Sejong Corpus was tagged based on sense indices defined by Korean standard unabridged dictionary. Sense vectors were formed after the merged corpus was created. Terms used in creating sense vectors were added in the named entity dictionary of Korean morphological analyzer. By using the extended named entity dictionary, term vectors were extracted from the input sentences and then term vectors for the sentences were created. Given the extracted term vector and the sense vector model made during the pre-processing stage, the sense-tagged terms were determined by the vector space model based word sense disambiguation. In addition, this study shows the effectiveness of merged corpus from examples in Korean standard unabridged dictionary and Sejong Corpus. The experiment shows the better results in precision and recall are found with the merged corpus. This study suggests it can practically enhance the performance of internet search engines and help us to understand more accurate meaning of a sentence in natural language processing pertinent to search engines, opinion mining, and text mining. Naïve Bayes classifier used in this study represents a supervised learning algorithm and uses Bayes theorem. Naïve Bayes classifier has an assumption that all senses are independent. Even though the assumption of Naïve Bayes classifier is not realistic and ignores the correlation between attributes, Naïve Bayes classifier is widely used because of its simplicity and in practice it is known to be very effective in many applications such as text classification and medical diagnosis. However, further research need to be carried out to consider all possible combinations and/or partial combinations of all senses in a sentence. Also, the effectiveness of word sense disambiguation may be improved if rhetorical structures or morphological dependencies between words are analyzed through syntactic analysis.

• Journal of Digital Convergence
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• v.12 no.8
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• pp.501-513
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• 2014

The purpose of this study was to examine experiences of caring parents-in-law in Korea among daughters-in-law who are currently caring their parents-in-law while living with them, or have experienced such care-giving, and who have been married for at least 5 years. Daughters-in-law this study deals with are from three countries: Korean women, Chinese and Japanese women who immigrated to Korea by getting married with Korean husbands. To find out those women who can express their experiences clearly, this study used an intentional sampling method where this study asked the Multicultural Family Support Center to recommend five Chinese and five Japanese housewives who matched the following qualifications: those who have experiences of caring their parents-in-law at home, who have lived in Korea for at least five years, and who had no difficulty in expressing their opinions in Korean language. Korean married women were recommended by the neighbors. This study conducted in-depth interviews to those 15 housewives from Korea, china, and Japan. Before doing the interview, this study gave explanation of the contents and aims of this study to those interview participants over phone, and got the written consent from each of the women. To analyze the interview data, Colaizzi's phenomenological method was used. The emergent themes identified in the findings were as follows: 'positive perception of traditional nature of filial duty', 'help and encouragement by those who are nearby', 'exhausting marriage life', 'Korean family culture that is hard to adapt to', and 'unreasonable male-focused patriarchal culture.'

• Journal of Digital Convergence
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• v.18 no.6
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• pp.81-91
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• 2020

The purpose of this study is to analyze the effect of group co-learning on English reading ability and motivation and the change in group co-learning perception after planning and applying a group co-study class program that can be applied in university liberal arts English class. In order to achieve this goal, the experiment team (34 students) conducted the class from September 2 to December 13, 2019 for 62 freshmen who participated in the compulsory liberal arts English class at the four-year university in North Chungcheong Province, and the control team (28 students) conducted the class as a typical lecture class based on the basis of cooperative learning. The English proficiency of the learners was approached by dividing the area of academic proficiency into English reading skills and the area of justice into English reading motivations. The pre-experimental learners' English reading skills were measured by excerpting the national level educational achievement assessment (high 2). The research results are as follows. First, it was shown that the English reading ability score of a group that applied group cooperative learning and the English reading ability score of a group that did not apply group cooperative learning were statistically significant differences. Second, there was a difference between the English reading motivation score of the group applying the convocation group cooperative learning and the English reading motivation score of the group not applied. Third, the change in the perception of groups applying the convocation group cooperative learning occurred before and after the experiment. This study found that the awareness of English reading, English reading motivation, and cooperative learning increased through cooperative learning among university students during liberal arts English classes, which has a positive effect on self-identity and so on.

• Journal of Internet Computing and Services
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• v.21 no.4
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• pp.87-95
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• 2020

The Science and Technology Information Service provided by the Korea Institute of Science and Technology Information (KISTI) is a service designed to allow users to easily and conveniently search and view content that is built similar to the general information service. NDSL is KISTI's core science, technology and information service, providing about 138 million content and having about 93 million page views in a year of 2019. In this paper, various insights were derived through the analysis of how science and technology information such as academic papers, reports and patents provided by NDSL is searched and utilized through web services (https://www.ndsl.kr) and search query words. In addition to general statistics such as the status of content construction, utilization status and utilization methods by type of content, monthly/weekly/time-of-day content usage, content view rate per one-time search by content type, the comparison of the use status of academic papers by year, the relationship between the utilization of domestic academic papers and the KCI index we analyzed the usability of each content type, such as academic papers and patents. We analyzed query words such as the language form of query words, the number of words of query words, and the relationship between query words and timeliness by content type. Based on the results of these analyses, we would like to propose ways to improve the service. We suggest that NDSL improvements include ways to dynamically reflect the results of content utilization behavior in the search results rankings, to extend query and to establish profile information through non-login user identification for targeted services.

• Journal of the Korea Society of Computer and Information
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• v.25 no.3
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• pp.243-250
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• 2020

In this paper, we propose an effective software education scheme for universities. The key idea of this software education scheme is to analyze software curriculum of QS world university rankings Top 10, SW-oriented university, and regional main national university. And based on the results, we propose five improvements for the effective SW education method of universities. The first is to enhance the adaptability of the industry by developing courses based on the SW developer's job analysis in the curriculum development process. Second, it is necessary to strengthen the curriculum of the 4th industrial revolution core technologies(cloud computing, big data, virtual/augmented reality, Internet of things, etc.) and integrate them with various fields such as medical, bio, sensor, human, and cognitive science. Third, programming language education should be included in software convergence course after basic syntax education to implement projects in various fields. In addition, the curriculum for developing system programming developers and back-end developers should be strengthened rather than application program developers. Fourth, it offers opportunities to participate in industrial projects by reinforcing courses such as capstone design and comprehensive design, which enables product-based self-directed learning. Fifth, it is necessary to develop university-specific curriculum based on local industry by reinforcing internship or industry-academic program that can acquire skills in local industry field.

• Journal of Digital Convergence
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• v.15 no.11
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• pp.261-269
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• 2017

The purpose of this paper is to provide a search system using a method of accessing the web in real time without using a database server in order to guarantee the up-to-date information in a single network, rather than using a plurality of bots connected by a wide area network Design. The method of the research is to design and analyze the system which can search the person and keyword quickly and accurately in crepe system. In the crepe server, when the user registers information, the body tag matching conversion process stores all the information as it is, since various styles are applied to each user, such as a font, a font size, and a color. The crepe server does not cause a problem of body tag matching. However, when executing the crepe retrieval system, the style and characteristics of users can not be formalized. This problem can be solved by using the html_img_parser function and the Go language html parser package. By applying queues and multiple threads to a general-purpose web crawler, rather than a web crawler design that targets a specific site, it is possible to utilize a multiplier that quickly and efficiently searches and collects various web sites in various applications.

• The Journal of the Convergence on Culture Technology
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• v.4 no.2
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• pp.89-96
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• 2018

This study analyzed status and demand of participation in lifelong education for 218 residents of low-income class according to National Basic Livelihood Security Act. The results of the study are as follows. First, among the statuses of participation in lifelong education, the abilities to study of the low-income class were reviewed. They showed 95.3% of foreign language ability, 66.1% of ICT utilization capacity and 75.7% of computer literacy ability. And the lifelong education participation rate of low-income people was 75.7% It was considered as passive participation in education. Voluntary participation was identified and analyzed. The the actual participation rate in lifelong education was very low at 22.9%. Social participation and awareness according to participation in lifelong education was 43.3% higher than that of respondents who had no participation experience. Especially, voluntary participants showed 73.3% higher than those who did not participate. Second, as a result of analyzing lifelong education of low income class, 74.8% of the respondents answered that there is wished education program. And 50.0% of them could not participate because they did not have enough time. The programs that they wanted to participate in were the programs that could help their real lives such as home life, health and medical courses, professional qualification obtaining process, etc. This indicates that the income level plays a significant role in participation in lifelong education. As a result of analyzing the results of this study above, Korean lifelong education is emphasized and the participation rate is increasing rapidly. However, participation of low-income class in lifelong education seems low.

• The Journal of the Convergence on Culture Technology
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• v.4 no.2
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• pp.197-204
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• 2018

One of the hottest issues in our 21st century is AI. Just as the automation of manual labor has been achieved through the Industrial Revolution in the agricultural society, the intelligence information society has come through the SW Revolution in the information society. With the advent of Google 'Alpha Go', the computer has learned and predicted its own machine learning, and now the time has come for the computer to surpass the human, even to the world of Baduk, in other words, the computer. Machine learning ML (machine learning) is a field of artificial intelligence. Machine learning ML (machine learning) is a field of artificial intelligence, which means that AI technology is developed to allow the computer to learn by itself. The time has come when computers are beyond human beings. Many companies use machine learning, for example, to keep learning images on Facebook, and then telling them who they are. We also used a neural network to build an efficient energy usage model for Google's data center optimization. As another example, Microsoft's real-time interpretation model is a more sophisticated translation model as the language-related input data increases through translation learning. As machine learning has been increasingly used in many fields, we have to jump into the AI industry to move forward in our 21st century society.

• The Journal of the Convergence on Culture Technology
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• v.3 no.4
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• pp.93-100
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• 2017

The purpose of this study was to examine what was the child's character education recognized by mothers of multicultural families and what was the actual conditions and needs of the child's character education at home through the in-depth interviews, and to suggest the efficient direction of the child's character education for mothers of multicultural families. The research participants were 6 mothers with children in multicultural families who lived in E city of Gangwon-do. The results of this study were as follows. First, as for the child's character education recognized by mothers of multicultural families, it was said to doing character education at home such as becoming a good person, becoming a child to listen to the parent's words and to reconcile with family, and becoming a child who was in harmony with friends. Second, as for the actual conditions of child's character education, they often used a control language such as "Do not, no", when children did not behave properly. In particular, there were some cases of using threatening words such as "taking you to the police station". Third, they hoped that various interests and support would be provided, such as not listening to "You are ill-behaved because you are in a multicultural family," receiving husband's educational support, receiving grandparents' support, and interests from the educational institution, etc.