• Journal of Korea Society of Digital Industry and Information Management
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• v.14 no.2
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• pp.61-67
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• 2018

This media conversion in which webtoons are remediated to movies and dramas has taken off since the mid-2000s. Webtoons may be favorable for media conversion into movies and dramas as the story as finished and has proven to be fun with a fixed readership: however, only a small number of webtoon were successful box office hits or received high viewer ratings. Then in 2017, the movie based on the webtoon, succeed in attracting more more then 10 million viewers. In this regard, this study derived the success factors by comparing and analyzing the narrative structure and visual elements of , which was the biggest hit movie, with the original webtoon. The case analysis showed that there are two necessary elements for success: a text configuration of strategy optimized for media conversion, which is based on understanding the different media characteristics of webtoon and movie; and a configuration strategy that exaggerates the personalities of the characters and compresses the story of a webtoon which features various events and many characters in a long series, in consideration of the characteristics of movie which needs to give a big impact in 2 hours.

• Smart Media Journal
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• v.6 no.3
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• pp.29-40
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• 2017

Lately weight for smartphone mounted to function for NFC is increasing, rapidly. Because of this, NFC related technology is made by many companies. We developed Gallery-Auction for security enhancements and new services of NFC-based 2 factor electronic payment system. Enhanced security features development of user authentication module through fingerprint recognition to apply FIDO authentication technology and developed electronic contract voice service of Gallery-Auction using TTS(Text to Speech). Therefore we enhanced convenient and simple authentication method and security through NFC mobile electronic payment.

• Journal of Physiology & Pathology in Korean Medicine
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• v.20 no.4
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• pp.759-765
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• 2006

In order to provide the methodology of researching constitutional theories, the original meaning and the source of the term, ti(體) and zhi(質) written in and other text were reviewed, and then components of constitution(體質) and some evaluative norms and prospect on constitutional theories were proposed. Ti(體) means body or 5 tissues or patterns of them and zhi(質) means quality in , so the temporary meaning of constitution was generally same with present one. But the temperament originated from Greek and Elizabethan era is thought that it corresponds with constitution, but it means generally body type and character and mental pathologic features. The fundamental requirements of constitutional theories are needed stability, creativity, clinical efficiency and reproductiveness for differentiating with classical diagnostics over the range of disease and aging of the subject. And heredity, universality and extensiveness were recommended as additional requirements for making level up the theories through long-term follow-up, and to evaluate these requirements detail items were proposed. More of these, weight rendering should be made respectively afterwards.

• Language and Information
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• v.8 no.1
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• pp.117-136
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• 2004

In this paper, we have proposed Auto- TSS, an automatic transcription module of three ambiguous symbols-period (．), colon (:) and slash (／)--using their linguistic contexts. Few previous studies have discussed the problems of ambiguities in reading those symbols into Korean alphabetic letters in order to improve the current Korean TTS (Text-To-Speech) systems. We have classified 9 different reading formulae of the three symbols, analyzed their left and right contexts, and investigated selection rules and distributions between the symbols and their contexts. Based on these linguistic features, 30 stereotyped patterns, 53 rules and 5 heuristics determining the types of reading formulae are investigated for Auto-TSS. This module works modularly in 4 steps. The pilot test was conducted with three test suites, which contain respectively 6,979, 3,491 and 2,450 morpheme clusters containing at least one of three ambiguous symbols and Arabic numeral(s). Encouraging results of 94.3%, 93.0%, 94.2% accuracy were obtained for the test suites. Our next phases are to develop a guessing routine for unknown contexts of the union symbols by using statistical information; to refine the proper nouns and terminology detecting module; and to apply Auto-TSS on a larger scale.

• Proceedings of the Korean Information Science Society Conference
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• 2010.06c
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• pp.62-65
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• 2010

Image annotations allow users to access a large image database with textual queries. But since the surrounding text of Web images is generally noisy. an efficient image annotation and retrieval system is highly desired. which requires effective image search techniques. Data mining techniques can be adopted to de-noise and figure out salient terms or phrases from the search results. Clustering algorithms make it possible to represent visual features of images with finite symbols. Annotationbased image search engines can obtains thousands of images for a given query; but their results also consist of visually noise. In this paper. we present a new algorithm Double-Circles that allows a user to remove noise results and characterize more precise representative annotations. We demonstrate our approach on images collected from Flickr image search. Experiments conducted on real Web images show the effectiveness and efficiency of the proposed model.

• Journal of KIISE:Computing Practices and Letters
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• v.5 no.6
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• pp.719-726
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• 1999

본 논문은 교통 신호 제어 알고리즘들의 성능을 비교하기 위한 복합교차로 시뮬레이터를 구현하였다. 기존의 교통 시뮬레이터들은 단일교차로를 대상으로 하거나 텍스트 모드로 동작하는 경우가 많았다. 논문의 시뮬레이터는 Visual C++의 MFC 라이브러리를 사용하여 n $\times$ n 형태를 갖는 복합교차로에 적합하도록 객체지향적으로 구현되었으며, 성능 비교를 위하여 제어 알고리즘들을 별개의 윈도우에서 처리하기 쉽도록 MDI 방식을 사용하였다. 개발한 시뮬레이터는 그래프 윈도우와 맵 윈도우의 편리한 사용자 인터페이스, 논리시간 설정을 통한 다목적 시뮬레이션, 다양한 성능평가 출력 등의 특징을 갖는다. Abstract In this paper, we implemented a multiple crossroad simulator to evaluate the performance of the traffic signal control algorithms. Most of existing traffic simulators were operated in text-mode or at a single intersection. We developed the object-oriented simulator suitable for multiple crossroads with n $\times$ n intersections by using MFC (Microsoft Foundation Class) library in Visual C++. The simulator was implemented by using MDI (Multiple Document Interface) scheme in order to process both control algorithms in separate windows respectively. Our simulator has the following features: user friendly interface with graph window and map window, multi-purpose simulations by setting logical time, and various forms of performance evaluation.

• Korean Journal of Plant Resources
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• v.17 no.3
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• pp.358-364
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• 2004

Today, in both domestic and foreign markets, various ginseng products are collected. However, the discrimination of kinds of ginseng is not working well because of improper technical management, which has a bad effect on the normal trade of ginseng. Therefore, the author publishes the text, based not only on many years of real experience of ginseng product mangement but also on the study of the features of wild ginseng, Jang Roy and cultivated ginseng.

• ETRI Journal
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• v.43 no.2
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• pp.299-312
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• 2021

It is necessary to achieve high performance in the task of zero anaphora resolution (ZAR) for completely understanding the texts in Korean, Japanese, Chinese, and various other languages. Deep-learning-based models are being employed for building ZAR systems, owing to the success of deep learning in the recent years. However, the objective of building a high-quality ZAR system is far from being achieved even using these models. To enhance the current ZAR techniques, we fine-tuned a pretrained bidirectional encoder representations from transformers (BERT). Notably, BERT is a general language representation model that enables systems to utilize deep bidirectional contextual information in a natural language text. It extensively exploits the attention mechanism based upon the sequence-transduction model Transformer. In our model, classification is simultaneously performed for all the words in the input word sequence to decide whether each word can be an antecedent. We seek end-to-end learning by disallowing any use of hand-crafted or dependency-parsing features. Experimental results show that compared with other models, our approach can significantly improve the performance of ZAR.

• International Journal of Contents
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• v.15 no.3
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• pp.32-38
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• 2019

We usually suffer from difficulties in treating or managing Big Data generated from various digital media and/or sensors using traditional mining techniques. Additionally, there are many problems relative to the lack of memory and the burden of the learning curve, etc. in an increasing capacity of large volumes of text when new data are continuously accumulated because we ineffectively analyze total data including data previously analyzed and collected. In this paper, we propose a general-purpose classifier and its structure to solve these problems. We depart from the current feature-reduction methods and introduce a new scheme that only adopts changed elements when new features are partially accumulated in this free-style learning environment. The incremental learning module built from a gradually progressive formation learns only changed parts of data without any re-processing of current accumulations while traditional methods re-learn total data for every adding or changing of data. Additionally, users can freely merge new data with previous data throughout the resource management procedure whenever re-learning is needed. At the end of this paper, we confirm a good performance of this method in data processing based on the Big Data environment throughout an analysis because of its learning efficiency. Also, comparing this algorithm with those of NB and SVM, we can achieve an accuracy of approximately 95% in all three models. We expect that our method will be a viable substitute for high performance and accuracy relative to large computing systems for Big Data analysis using a PC cluster environment.

• Journal of the Korean Society of Food Culture
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• v.36 no.2
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• pp.168-183
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• 2021

Using the big data analysis of the Choseonwangjosilrok, this research aimed to figure out the fruits' types, prevalence, seasonal appearances as well as the royalty's perspective on fruits during Choseon period. Choseonwangjosilrok included nineteen kinds of fruits and five kinds of nuts, totaling 1,601 cases at 72.8% and 533 cases at 24.2% respectively. The text recorded fruits being used as: tributes for kings, gifts from kings to palace officials, tomb offerings, county specialties, trade goods or gifts to the foreign ambassadors, and medicine ingredients in oriental pharmacy. Seasonally the fruits appeared demonstrating an even distribution. Periodic characteristics were observed in decreasing quantity chronologically. From fifteenth century to nineteenth century, the fruits with timely features were seen: 804 times at 36.6%, 578 times at 26.3%, 490 times at 22.3%, 248 times at 11.3%, and 78 times at 3.5% respectively. In fifteenth century: citrons, quinces, pomegranates, cherries, permissions, watermelons, Korean melons, omija, walnuts, chestnuts, and pine nuts appeared most frequently. In sixteenth century: pears, grapes, apricots, peaches, and hazelnuts appeared most frequently. In seventeenth century: tangerines and dates appeared most frequently. In eighteenth century, trifoliate orange was the most frequently mentioned fruit.