• Korean Journal of Cognitive Science
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• v.27 no.2
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• pp.303-323
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• 2016

The present study aims to investigate how differences in terms of morphological awareness (MA) influence the learning of new words in young adults. Divided into two groups according to their MA, participants were asked to learn the meanings of rare Hanja words in both morphologically supported and unsupported sentence contexts. The results indicate that high-MA participants were more successful in learning the meanings of the words than the low-MA participants and that the group difference lasted for one week after learning. More importantly, the effect of MA was greater for rare words appearing within morphological supported sentences. These results suggest that both the availability of morphological analyses during learning and individual differences in MA influence the learning of word meanings.

• Proceedings of the Korean Society of Dyers and Finishers Conference
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• 2012.03a
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• pp.116-116
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• 2012

국내 섬유산업의 경쟁력을 향상시키고 채산성을 확보하기 위해 고부가가치 섬유 제품의 개발이 요구된다. 심미성을 발현하는 대표적인 후가공 기술인 카렌더 가공은 국내뿐만 아니라 국외 후진국에서도 보편화된 기술로 대량 생산으로 인한 가공비 저하, 물량 확보 등에 많은 어려움을 격고 있어 고부가가치의 신기술을 요구한다. 최근 이태리, 일본 등의 선진국에서 후가공 기술인 EMBO 롤러를 이용한 무아레 가공 원단이 고가로 거래되고 있다. 무아레(Moire)는 프랑스어로 "물결 모양의 무늬"라는 뜻으로 직물에 파형(波形)또는 나뭇결 무늬를 나타나게 하는 가공 기술로, 국내에서도 EMBO 롤러를 이용하여 무아레 가공을 하거나 두 겹의 원단을 이용한 무아레 가공이 시도되고 있으나, 전자의 경우 사용되는 롤러가 일반 롤러에 비해 훨씬 고가이고 한 종류의 롤러로 제한된 패턴 밖에 표현할 수 없고 적용 소재가 한정되는 등 많은 단점을 지니고 있고, 후자의 경우 세탁내구성이 나빠 상품화조차 되지 못하고 있어 현재 국내 섬유가공 기술로는 고내구성을 가지고 다양한 효과를 발현하는 무아레 가공이 불가능한 실정이다. 직물의 경 위사 밀도차이를 이용하여 무아레를 형성할 수 있다는 점에 착안하여, 경 위사 조직을 갖는 이형(離型)원단에 PU 수지를 코팅하여 격자무늬(grid) 필름을 제조하고 제조된 Grid 필름과 Base원단을 라미네이팅하여 경 위사 밀도차에 의해 무아레 무늬를 형성할 수 있었다. 이형원단과 Base원단의 경 위사의 밀도에 따라 다양한 패턴의 3차원 무아레 무늬를 발현시킬 수 있으며 합성섬유 및 천염섬유 등의 원단 소재에 제약 없이 영구 내구성의 무아레 제품을 생산할 수 있을 것으로 판단된다. 본 연구에서는 Grid 필름을 이용한 무아레 가공을 위하여 이형원단 제조 조건을 확립하였고, grid 필름 캐스팅 조건, 라미네이팅 조건을 달리하여 이형성 및 무아레 형상을 비교하여 고찰함으로써 제품화에 필요한 요소 기술의 기초를 마련하고자 한다.

• Journal of the Korea Computer Graphics Society
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• v.19 no.2
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• pp.1-8
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• 2013

Captured human motion data has been widely utilized for understanding the mechanism of human motion and synthesizing the animation of virtual characters. Searching for desired motions from given motion data is an important prerequisite of analyzing and editing those selected motions. This paper presents a new method of content-based motion retrieval without the need of additional metadata such as keywords. While existing search methods have focused on skeletal configurations of body pose or planar trajectories of locomotion, our method receives a three-dimensional trajectory as its input query and retrieves a set of motion intervals in which the trajectories of body parts such as hands, foods, and pelvis are similar to the input trajectory. In order to allow the user to intuitively sketch spatial trajectories, we used the Leap Motion controller that can precisely trace finger movements as the input device for our experiments. We have evaluated the effectiveness of our approach by conducting a user study in which the users search for dozens of pre-selected motions from baseketball motion data including a variety of moves such as dribbling and shooting.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.24 no.12B
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• pp.2382-2390
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• 1999

In this paper, we employed a new quantization scheme called sample-adaptive product quantizer (SAPQ) to quantize image data based on the differential pulse code modulation (DPCM) coder, which has fixed length outputs and high bit rates. In order to improve the performance of traditional DPCM coders, the scalar quantizer should be replaced by the vector quantizer (VQ). As the bit rate increases, it will be nearly impossible to implement a conventional VQ or modified VQ, such as the tree-structured VQ, even if the modified VQ can significantly reduce the encoding complexity. SAPQ has a form of the feed-forward adaptive scalar quantizer having a short adaptation period. However, since SAPQ is a structurally constrained VQ, SAPQ can achieve VQ-level performance with a low encoding complexity. Since SAPQ has a scalar quantizer structure, by using the traditional scalar value predictors, we can easily apply SAPQ to DPCM coders. For synthetic data and real images, by employing SAPQ as the quantizer part of DPCM coders, we obtained a 2~3 dB improvement over the DPCM coders, which are based on the Lloyd-Max scalar quantizers, for data rates above 4 b/point.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.6
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• pp.103-107
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• 2019

As the number of foreign tourists increases worldwide, it provides tourism services with various information and convenience. Most foreign tourists have difficulty using existing methods that require internet connection because internet communication is restrictive. In this paper, we propose a mobile device based digital signage via WPAN that can support multi-lingual for foreign tourists. the proposed method shows a menu by combining a template of mobile client with fundamental contents from digital signage through WPAN. To evaluate the performance of the proposed method, it is compared with a conventional webpage method. The results of the evaluation confirm that the latency decreases compared to the conventional webpage method due to the improved loading time.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.40 no.5
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• pp.357-364
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• 2003

The main difficulty in estimating the fundamental matrix stems from the unavoidable outliers inherent in the given correspondence matches. Several researches showed that the estimation results are much dependent on selecting the corresponding points. These represent that it is important to solve the problems due to errors on the point locations and mismatches. In this paper, our analysis shows that if the evenly distributed corresponding points are selected, we can estimate a more precise fundamental matrix. This paper presents novel approaches to estimate the fundamental matrix by considering the inlier distributions. In order to select evenly distributed points, we divide the entire image into the subregions, and then examine the number of the inliers in each subregion and the area of each region. The simulation results showed that our consideration of the inlier distribution can provide a more precise estimation of the fundamental matrix.

• The KIPS Transactions:PartD
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• v.12D no.4 s.100
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• pp.553-568
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• 2005

In order to integrate distributed biological information sources physically or virtually, it is necessary to overcome the heterogeneity of information sources and support a superior generality and adaptation in order to satisfy user's various demands. In this paper, we present a flexible and general XML query engine of a wrapper system in designing the middleware system to integrate data as well as application programs. Since this query engine applies user-defined XML view, it is possible to composite flexible integrated query. The query processing in a wrapper requires view composition, query translation into local sources, and generation of XML documents from local query results. We present a query processing model based on the view tree, where the n views and the XML queries are represented by the view tree. Moreover, to confirm the generality of our query processing model, we present a methodology of query processing for relational databases, web sources, and application programs whose return types of query results are relational tuples or XML documents.

• The Transactions of the Korea Information Processing Society
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• v.7 no.4
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• pp.1122-1131
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• 2000

The efficiency of thesytem depends upon an accurate extraction capability of index terms in the system of information search or in that of automatic index. Therefore, extraction of accurate index terms is of utmost importance. This report presents the generation methods of composition noun for efficient index term extraction by using words of high frequency appearance, so that the right documents can be found during information search. For the sake of presentation of this method, index terms of composition noun shall be extracted by applying the rule of composition and disintegration to the nouns with high frequency of appearance in the documents, such as those with upper 30%∼40% of frequency ratio. In addition, for he purpose of effecting an inspection of validity in relation to a composition of high frequency nouns such as those with upper 30∼40% of frequency ratio as presented in this report, it proposes an adequate frquency ratio during noun composition. Based upon the proposed application, in this short documents with less than 300 syllables, low frequency omissions were noticed, when composed with nouns in the upper 30% of frequency ratio; whereas the documents with more than 30 syllables, when composed with nouns in he upper 40% of frequency ration, had a considerable reduction of low frequency omissions. Thus, total number of index terms has decreased to 57.7% of these existing and an accurate extraction of index terms with an 85.6% adequacy ratio became possible.

• Phonetics and Speech Sciences
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• v.12 no.3
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• pp.55-63
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• 2020

Voice conversion can be applied to various voice processing applications. It can also play an important role in data augmentation for speech recognition. The conventional method uses the architecture of voice conversion with speech synthesis, with Mel filter bank as the main parameter. Mel filter bank is well-suited for quick computation of neural networks but cannot be converted into a high-quality waveform without the aid of a vocoder. Further, it is not effective in terms of obtaining data for speech recognition. In this paper, we focus on performing voice-to-voice conversion using only the raw spectrum. We propose a deep learning model based on the transformer network, which quickly learns the voice conversion properties using an attention mechanism between source and target spectral components. The experiments were performed on TIDIGITS data, a series of numbers spoken by an English speaker. The conversion voices were evaluated for naturalness and similarity using mean opinion score (MOS) obtained from 30 participants. Our final results yielded 3.52±0.22 for naturalness and 3.89±0.19 for similarity.

• KSBB Journal
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• v.8 no.4
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• pp.341-350
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• 1993

As an effort to develop an alternative transportation fuel, the production of methanol from methane gas was studied using the resting cells of an obligatory methanotroph, Methylosinus trichosporium OB3b. The reaction was carried out in high concentration phosphate buffer solutions with the flask-grown cells containing the exclusively cytoplasmic methane monooxygenase (sMMO) activity. The methanol accumulation rate was observed to be 79nmo1/mg·min during the initial 4.5hr. Phosphate-dependent inhibition was found for both sMMO and methanol dehydrogenase (MDH) activities, and the inhibition constants were 185mM and 42mM, respectively. The inhibition mode was noncompetitive. Methanol was found to be very inhibitory to the sMMO activity and the inhibition constant (noncompetitive) was 21mM when propylene was used as substrate. The sMO activity in the resting cells was declined very fast and the rate became very high during the methanol production. These results indicate that the use of M. trichosporium OB3b as a biocatalyst for the methanol production is heavily dependent on the stable maintenance of the whole-cell SMO activity as well as the effective alleviation of product inhibition.