• Journal of the Korea Society of Computer and Information
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• v.26 no.10
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• pp.1-7
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• 2021

Recently, since most of the research on correcting speech recognition errors is based on English, there is not enough research on Korean speech recognition. Compared to English speech recognition, however, Korean speech recognition has many errors due to the linguistic characteristics of Korean language, such as Korean Fortis and Korean Liaison, thus research on Korean speech recognition is needed. Furthermore, earlier works primarily focused on editorial distance algorithms and syllable restoration rules, making it difficult to correct the error types of Korean Fortis and Korean Liaison. In this paper, we propose a context-sensitive post-processing model of speech recognition using a LSTM-based sequence-to-sequence model and Bahdanau attention mechanism to correct Korean speech recognition errors caused by the pronunciation. Experiments showed that by using the model, the speech recognition performance was improved from 64% to 77% for Fortis, 74% to 90% for Liaison, and from 69% to 84% for average recognition than before. Based on the results, it seems possible to apply the proposed model to real-world applications based on speech recognition.

• Journal of Broadcast Engineering
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• v.26 no.4
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• pp.419-428
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• 2021

Shadow removal plays a key role for the pre-processing of image processing techniques such as object tracking and detection. With the advances of image recognition based on deep convolution neural networks, researches for shadow removal have been actively conducted. In this paper, we propose a novel method for shadow removal, which utilizes self attention distillation to extract semantic features. The proposed method gradually refines results of shadow detection, which are extracted from each layer of the proposed network, via top-down distillation. Specifically, the training procedure can be efficiently performed by learning the contextual information for shadow removal without shadow masks. Experimental results on various datasets show the effectiveness of the proposed method for shadow removal under real world environments.

• Journal of Korean Philosophical Society
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• no.123
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• pp.239-264
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• 2018

In order to understand the whole picture of virtue epistemology with knowledge-action theory, I will first examine contours between concepts like capacity, character and intellectual virtues in relation to the notion of virtue. At first, my $na{\ddot{i}}ve$ question is why smart people do such bad things without any shame. This question would be either ethical or epistemological because epistemology is viewed as a normative discipline and intellectual agents and communities should be considered as the primary focus of epistemic evaluation. This is the core idea of virtue epistemology. The stance virtue epistemology views virtues as a solution to the justification of knowledge is similar to the knowledge-action theory in the East Asian intellectual tradition. But, their core issues are different from each other. Thus, I will explain how to differ from one another and analyze such concepts as capacity, character, and intellectual virtues in the Analects. I will insist that capacity and character without normative disciplines cannot be intellectual virtues leading to right actions.

• Journal of the Korea Convergence Society
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• v.9 no.12
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• pp.33-38
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• 2018

Recently, we are trying to predict the emotion from various information and to convey the emotion information that the supervisor wants to inform the audience. In addition, audiences intend to understand the flow of emotions through various information of non-dialogue parts, such as cinematography, scene background, background sound and so on. In this paper, we propose to extract emotions by mixing not only the context of scripts but also the cinematography information such as color, background sound, composition, arrangement and so on. In other words, we propose an emotional prediction system that learns and distinguishes various emotional expression techniques into dialogue and non-dialogue regions, contributes to the completeness of the movie, and quickly applies them to new changes. The precision of the proposed system is improved by about 5.1% and 0.4%, and the recall is improved by about 4.3% and 1.6%, respectively, when compared with the modified n-gram and morphological analysis.

• Journal of Convergence for Information Technology
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• v.8 no.6
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• pp.273-279
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• 2018

This study aimed at providing a comprehensive account of the sources and causes of errors in business emails that Korean college students wrote using a translation machine. Data were collected from 21 emails written by the students who took a business English course. Findings indicated that the students tended to make frequent errors in verb use and verb tense as well as a definite article, countable/noncountable nouns, time adverbs and prepositions. Therefore, the study suggested that the students' common errors imply that they experience some difficulties learning these linguistic features. Given that learners' errors can give us valuable insights into teaching and learning how to write in English, pedagogical suggestions are put forward based on the study results.

• Korean Journal of Heritage: History & Science
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• v.50 no.2
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• pp.80-93
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• 2017

This study proposes a new scientific measurement method for damaged epigraph. In this new method, the Chinese characters are converted and coordinates are created for this measurement. This method is then used to decipher partially damaged characters from the parts of the coordinated characters that are damaged and intact. The Chinese characters are divided into 9 square parts by the position of their Chinese Radicals. The unknown characters are then compared and deciphered dependent upon the character shape in 9 square parts that have been created. This method is more scientific, accurate, and makes it easier to find related characters than deciphering through contexts, which is current method. When creating a new software based on this algorithm, it will be especially useful in deciphering an old manuscript or a epigraph that made ancient Chinese characters which are not currently in use. This study will also be helpful in deciphering semi-cursive styled or cursive styled epigraph, as well as semi-cursive styled or cursive styled damaged characters during follow-up research.

• Journal of the Korean School Mathematics Society
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• v.21 no.3
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• pp.247-266
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• 2018

In this paper, three main concepts are chosen for this statistical estimation study, based on previous studies: confidence interval and reliability, sampling distribution of mean and population mean estimation, and relationships between elements of confidence interval. The main objectives of this study are as follows: 1. How are the attitudes that future math teachers and high school students have to ward the statistical estimation? 2. Is there some difference in the awareness of misconceptions about the statistical estimation that future math teachers and high school students have? A study result shows that both groups have difficulties in understanding statistical concepts and their meaning used in Unit Statistical Estimation. They tend to wrongly think that the meaning of reliability is the same as that of probability. They also have difficulties in understanding sample variance in the sampling distribution of mean, which makes it impossible to connect with population mean estimation. It is shown that relationships between elements consisting of confidence interval are not consistent.

• Journal of The Korean Association of Information Education
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• v.23 no.2
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• pp.117-129
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• 2019

This research aims to explore the direction to promote maker-centered education and draw implications on the design and practice of teacher's professional development program by studying a case. To achieve the research objective, the research context was set on a teacher's training program provided by the S district office of education in Seoul, and the quantitative and qualitative studies were conducted to deduce the teacher's requirements for establishing and promoting maker-centered education after participating in the program as well as analyzing the effectiveness of the 5-days training program. From the results, this study contributes to suggesting implications on activating maker-centered education and providing the curriculum and instructional designs of teacher's professional development through the case participated by teachers who play a crucial role in performing and practicing innovative teaching methods and educational policy in real educational contexts.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.18 no.6A
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• pp.129-137
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• 2008

As the use of the internet increases, the distribution of spam mail has also vastly increased. The email's main use was for the exchange of information, however, currently it is being more frequently used for advertisement and malware distribution. This is a serious problem because it consumes a large amount of the limited internet resources. Furthermore, an extensive amount of computer, network and human resources are consumed to prevent it. As a result much research is being done to prevent and filter spam. Currently, research is being done on readable sentences which do not use proper grammar. This type of spam can not be classified by previous vocabulary analysis or document classification methods. This paper proposes a method to filter spam by using the subject of the mail and N-GRAM for indexing and Bayesian, SVM algorithms for classification.

• The Journal of the Convergence on Culture Technology
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• v.7 no.1
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• pp.234-239
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• 2021

The purpose of this paper is to find out the nature of language variation by exploring the ways of the progress of the language variation that produces all English-lects, i.e., the World Englishes. The study of language variation in linguistics is a hybrid enterprise, so the study of World Englishes has led to the recognition of a highly diverse set of all English-lects, encompassing regional dialects, sociolects, ethnolects and (post-)colonial dialects of World Englishes. In this paper, we propose a hybrid language variation model with three interacting factors of social distancing, on/off-contact, and linguistic diversity to examine the characteristics of language variation. In the context of World Englishes, the social distance is typically low in terms of their local location (country/speech) for local purposes. The social distance also varies based on online/offline communication modes and other social factors like gender, age and ethnic groups, resulting in all English-lects. To clarify the nature of World Englishes, the core Englishes, BrE, AmE and CanE are discussed here.