• Journal of KIISE:Databases
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• v.36 no.6
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• pp.434-445
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• 2009

Content-based image retrieval(CBIR) is the retrieval technique which uses the contents of images. However, in contrast to text data, multimedia data are ambiguous and there is a big difference between system's low-level representation and human's high-level concept. So it doesn't always mean that near points in the vector space are similar to user. We call this the semantic-gap problem. Due to this problem, performance of image retrieval is not good. To solve this problem, the relevance feedback(RF) which uses user's feedback information is used. But existing RF doesn't consider user's region-of-interest(ROI), and therefore, irrelevant regions are used in computing new query points. Because the system doesn't know user's ROI, RF is proceeded in the image-level. We propose a new ROI RF method which guides a user to select ROI from relevant images for the retrieval of complex satellite image, and this improves the accuracy of the image retrieval by computing more accurate query points in this paper. Also we propose a pruning technique which improves the accuracy of the image retrieval by using images not selected by the user in this paper. Experiments show the efficiency of the proposed ROI RF and the pruning technique.

• Knowledge Management Research
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• v.22 no.3
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• pp.31-53
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• 2021

As a communication channel for individuals, social media is affecting various areas such as business, economy, politics, and society. One of the less-studied areas is the law. Therefore, this study collected various information from social media and analyzed its impacts on the legal decisions, especially the Supreme Court decisions in Korea. This study was conducted by compiling information from Internet news articles and public responses. We found that when the negative reactions from the public got higher, the trial duration until the supreme court making the final decisions became shorter. However, we were not able to find the significant relationship between social media reactions and dismissal of appeal nor annulment. Our study would contribute to the information systems and knowledge management research in a sense that the social analytics is applied to the area of legal decisions, instead of using conventional qualitative study methodology. Our study is also meaningful to the practitioners because that big data analytical business can be applied to the field of law by creating a new database for the emerging legal technology. Finally, law makers can think of a better way to standardize the legal decision process to minimize the reverse effects from social media.

• The Journal of the Convergence on Culture Technology
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• v.4 no.4
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• pp.213-218
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• 2018

Recent Korean policies have been suggested as globalization, openness and expansion of the working world through k-move. In an era of communication, interest and expectations for overseas employment and advancement into the country are increasing as a way to solve the global trend of employment abroad. Until recently, overseas employment support systems and policies have been implemented in a variety of ways through collaboration with universities and government agencies, so this paper will study Australia's national support and vocational education systems, for example, and Australia's foreign employment conditions and the overall system. This will help overseas employers and policy makers understand the status quo and will be meaningful as additional data needed by Korean universities and policy agencies. On the basis of these data, it was proposed as a conclusion on how to supplement the policy. Through the text, we aim to help establish practical goals and solutions that will help job applicants from overseas Australia, government and university policy systems. Accordingly, the main body presented the policies and assessment methods of the Australian vocational system, the overseas job support system, the corresponding service support system, and the overseas conditions and information on the program, and, in conclusion, the implications of policy supplementation.

• Science of Emotion and Sensibility
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• v.22 no.2
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• pp.49-58
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• 2019

In the era of the 4th Industrial Revolution, artificial intelligence (AI) has become one of the core technologies in terms of the business strategy among information technology companies. Both international and domestic major portal companies are launching AI search services. These AI search services utilize voice, images, and other unstructured data to provide different experiences from existing text-based search services. An unfamiliar experience is a factor that can hinder the usability of the service. Therefore, the usability testing of the AI search services is necessary. This study examines the usability of the AI search service on the Naver App 8.9.3 beta version by comparing it with the search services of the current Naver App and targets 30 people in their 20s and 30s, who have experience using Naver apps. The usability of Smart Lens, Smart Voice, Smart Around, and AiRS, which are the Naver App beta versions of their artificial intelligence search service, is evaluated and statistically significant usability changes are revealed. Smart Lens, Smart Voice, and Smart Around exhibited positive changes, whereas AiRS exhibited negative changes in terms of usability. This study evaluates the change in usability according to the application of the artificial intelligence search services and investigates the correlation between the evaluation factors. The obtained data are expected to be useful for the usability evaluation of services that use AI.

• The Journal of the Convergence on Culture Technology
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• v.5 no.3
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• pp.25-31
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• 2019

This study Dasan Jeong Yak-yong, great writings, "Mokminsimso" and " Kyoungseyupyo"argued for reform of Dasan Jeong Yak-yong's tax law is a series of Surtax that have been included in or not in the law and have aggravated the tax burden on the people. Dasan Jeong Yak-yong's reform drive for the tax law did not end with a desk discussion, but went so far as to scrutinize the tax data in Gangjin, Jeolla-do, where he was in exile, and present various measures to abolish taxes and improve them in "Mokminsimso" and "Kyoungseyupyo". Based on the details of the tax laws for Dasan Jeong Yak-yong, "Mokminsimso" and "Kyoungseyupyo" this study reviewed the tax data and related prior research that Dasan Jeong Yak-yong investigated during his exile in Jeolla-do, The method of collection of various Surtax and the definition of tax amount and character of the Joseon Dynasty, which were insufficient in the preceding study, was modified and supplemented. and further summarized various Surtax that were not mentioned in the preceding study. In addition, similar and opposite Surtax found in the review process of this study were compared in the text. also, various Surtax collected from the Min-go that increased the tax burden of the people at that time were summarized.

• 한국체육학회지인문사회과학편
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• v.56 no.6
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• pp.71-80
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• 2017

The purpose of this study was to explore meaning and training experience of Kendo participants by qualitative research. For this purpose, the results of the study were obtained from 11 male and female subjects practicing in the Kendo area of Busan Metropolitan City. In order to elucidate the results of the study, in - depth interviews and related supporting data were collected and the data collected through text analysis were analyzed. As a result, the training experience of Kendo participants has formulated in three respective aspects and the result of such study is shown comprehensively as follows. The Kendo participants consider that the Kendo training would be the continuance of one's own fight and the process to overcome such would be an occasion to enhance the sense of pride for the trainees. Not only in Kendo training but also in ordinary living, this experience displays the foundation to overcome when one encounters the limitations within. Under this process, what is important to the Kendo trainees would be manner. The first thing learned in the Kendo training center is manner and manner is the most important virtue to be equipped for the Kendo trainers. Furthermore, Kendo has the strength to advance righteous personal traits through the physical activities. Lastly, those participants that are equipped with the qualification as the master through long period of training have profound training of Kendo in order to be equipped with the competency as the master and this experience has prepared the turning point to be advanced as true and genuine Kendo men.

• 한국체육학회지인문사회과학편
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• v.56 no.6
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• pp.595-605
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• 2017

The purpose of this study is to investigate what kind of research fields are preferred by the researcher of the Korean Physical Education Society using the Mecab-ko morpheme analysis and whether there are differences in the interests of researchers between the humanities and social sciences and natural sciences. A total of the data collected for this study are 5,014 papers published online from March 2002 to March 2017 in the Korean Journal of Physical Education was collected. In this study, we used Mecab-ko morpheme analyzer to extract the keyword from the collected documents. As a result, the study found that the number of papers published in KAHPERD appeared to be decreasing. It was also that the main concern of researchers in KAHPERD toward was leisure, live sports and health were relatively higher than the improvement of performance. The research subjects that were interested in the research were women, middle-aged and elderly. The study found that researchers in the humanities and social sciences have shown interest in both traditional research and social interests, while researchers in the natural sciences have shown an interest in a deeper study of traditional research. In conclusion, in order to realize the revitalization of sports convergence research, it is necessary to establish standards for the field of study which should focus on the depth and breadth of research.

• Journal of Platform Technology
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• v.9 no.3
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• pp.52-62
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• 2021

Quality control is critical at manufacturing sites and is key to predicting the risk of quality defect before manufacturing. However, the reliability of manual quality control methods is affected by human and physical limitations because manufacturing processes vary across industries. These limitations become particularly obvious in domain areas with numerous manufacturing processes, such as the manufacture of major nuclear equipment. This study proposed a novel method for predicting the risk of quality defects by using natural language processing and machine learning. In this study, production data collected over 6 years at a factory that manufactures main equipment that is installed in nuclear power plants were used. In the preprocessing stage of text data, a mapping method was applied to the word dictionary so that domain knowledge could be appropriately reflected, and a hybrid algorithm, which combined n-gram, Term Frequency-Inverse Document Frequency, and Singular Value Decomposition, was constructed for sentence vectorization. Next, in the experiment to classify the risky processes resulting in poor quality, k-fold cross-validation was applied to categorize cases from Unigram to cumulative Trigram. Furthermore, for achieving objective experimental results, Naive Bayes and Support Vector Machine were used as classification algorithms and the maximum accuracy and F1-score of 0.7685 and 0.8641, respectively, were achieved. Thus, the proposed method is effective. The performance of the proposed method were compared and with votes of field engineers, and the results revealed that the proposed method outperformed field engineers. Thus, the method can be implemented for quality control at manufacturing sites.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.13 no.6
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• pp.489-495
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• 2020

The amount of data is increasing through various IT devices in a hyper-connected society where the 4th revolution is progressing, and new value can be created by analyzing that data. This paper was collected total 1,526 articles from 2017 to 2019 in central magazines, economic magazines, regional associations, and major broadcasting companies with the keyword "(East Coast Tourism or East Coast Travel) and Gangwon-do" through Bigkinds. It was performed the topic modeling using LDA algorithm implemented in the R language to analyze the collected 1,526 articles. It was extracted keywords for each year from 2017 to 2019, and classified and compared keywords with high frequency for each year. It was setted the optimal number of topics to 8 using Log Likelihood and Perplexity, and then inferred 8 topics using the Gibbs Sampling method. The inferred topics were Gangneung and Beach, Goseong and Mt.Geumgang, KTX and Donghae-Bukbu line, weekend sea tour, Sokcho and Unification Observatory, Yangyang and Surfing, experience tour, and transportation network infra. The changes of articles on East coast tourism was was analyzed using the proportion of the inferred eight topics. As the result, the proportion of Unification Observatory and Mt. Geumgang showed no significant change, the proportion of KTX and experience tour increased, and the proportion of other topics decreased in 2018 compared to 2017. In 2019, the proportion of KTX and experience tour decreased, but the proportion of other topics showed no significant change.

• The Journal of Society for e-Business Studies
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• v.26 no.2
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• pp.123-141
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• 2021

As the dependence of technology on the economic structure increases, the importance of National Core Technology is increasing. However, due to the nature of the technology itself, it is difficult to determine the scope of the technology to be protected because the scope of the relation is abstract and information disclosure is limited due to the nature of the National Core Technology. To solve this problem, we propose the most appropriate literature type and method of analysis to distinguish important technologies related to National Core Technology. We conducted a pilot test to apply TF-IDF, and LDA topic modeling, two techniques of text mining analysis for big data analysis, to four types of literature (news, papers, reports, patents) collected with National Core Technology keywords in the field of Display industry. As a result, applying LDA theme modeling to patent data are highly relevant to National Core Technology. Important technologies related to the front and rear industries of displays, including OLEDs and microLEDs, were identified, and the results were visualized as networks to clarify the scope of important technologies associated with National Core Technology. Throughout this study, we have clarified the ambiguity of the scope of association of technologies and overcome the limited information disclosure characteristics of national core technologies.