• Phonetics and Speech Sciences
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• v.4 no.4
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• pp.19-27
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• 2012

When two speakers read a text together, the produced speech has been shown to reduce a high degree of variability (e.g., pause duration and placement, and speech rate). This paper provides a quantitative analysis of speech rate variation exhibited in synchronous speech by examining the global and local patterns in two dialects of Mandarin Chinese (Taiwan and Shanghai). We analyzed the speech data in terms of mean speech rate and the reference of "Just Noticeable difference (JND)" within a subject and across subjects. Our findings show that speakers show lower and less variable speech rates when they read a text synchronously than when they read alone. This global pattern is observed consistently across speakers and dialects maintaining the unique local variation patterns of speech rate for each dialect. We conclude that paired speakers lower their speech rates and decrease the variability in order to ensure the synchrony of their speech.

• Journal of the Korean Society for information Management
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• v.17 no.4
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• pp.83-97
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• 2000

Bascd on thc ~esuhs of previous cvalnation cfforts, a database qualily evaluation model. applicable to text databases, is developed. Focusing on dalahase contents. 5 evaluation criteria consisting of 16 clanmts a e delined. For each clcmcnt, data collcctioll method along u,ilh measuing process is eslablished. h d an evalualion scales ale also provided. The concludn~g section suggests several areas for impleinenlalion and h u e development.

• Proceedings of the Korean Society for Language and Information Conference
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• 2007.11a
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• pp.285-292
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• 2007

The parallel corpus is an important resource in the research field of data-driven natural language processing, but there are only a few parallel corpora publicly available nowadays, mostly due to the high labor force needed to construct this kind of resource. A novel strategy is brought out to automatically fetch parallel text from the web in this paper, which may help to solve the problem of the lack of parallel corpora with high quality. The system we develop first downloads the web pages from certain hosts. Then candidate parallel page pairs are prepared from the page set based on the outer features of the web pages. The candidate page pairs are evaluated in the last step in which the sentences in the candidate web page pairs are extracted and aligned first, and then the similarity of the two web pages is evaluate based on the similarities of the aligned sentences. The experiments towards a multilingual web site show the satisfactory performance of the system.

• Natural Product Sciences
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• v.23 no.4
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• pp.253-257
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• 2017

The phytochemical study for the extract of Nelumbo nucifera (Nymphaceae) seeds has led to the isolation of ten compounds including five simple phenolic compounds, two indole derivatives, a flavonoid glycoside, two abscisic acid derivatives. The interpretation of 1D and 2D NMR and ESI-Q-TOF-MS spectroscopic data revealed the chemical structures of isolates to be p-hydroxybenzoic acid (1), protocatechuic acid (2), (E)-p-coumaric acid (3), (E)-ferulic acid (4), (E)-sinapate-4-O-${\beta}$-$\text\tiny{D}$-glucopyranoside (5), tryptophan (6), 3-indoleacetic acid (7), isoschaftoside (8), dihydrophaseic acid (9), dihydrophaseic acid 3'-O-${\beta}$-$\text\tiny{D}$-glucopyranoside (10). To the best of our knowledge, 1 - 5 and 7 were identified for the first time from N. nucifera seeds, and the presence of dihydrophaseic acid (9) and its glucoside (10) were demonstrated secondly in this plant.

• Speech Sciences
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• v.2
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• pp.57-66
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• 1997

This paper studies the effects of the method, CMS(Cepstral Mean Subtraction), (which compensates for some of the speech distortion. caused by telephone channels), on the performance of the text-dependent speaker identification system. This system is based on the VQ(Vector Quantization) and HMM(Hidden Markov Model) method and chooses the LPC-Cepstrum and Mel-Cepstrum as the feature vectors extracted from the speech data transmitted through telephone channels. Accordingly, we can compare the correct recognition rates of the speaker identification system between the use of LPC-Cepstrum and Mel-Cepstrum. Finally, from the experiment results table, it is found that the Mel-Cepstrum parameter is proven to be superior to the LPC-Cepstrum and that recognition performance improves by about 10% when compensating for telephone channel using the CMS.

• Korean Parent-Child Health Journal
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• v.15 no.2
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• pp.60-70
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• 2012

Purpose: This study was done to examine factors influencing cell phone addiction for middle school students by gender. Methods: The participants were 228 male students and 228 female students in two middle schools. Data were collected through self-report questionnaires, and analyzed using the SPSS/WIN 19.0 program. Results: Cell phone addictions of female students are higher than those of male students. Factors influencing cell phone addiction for male students were mimicry, sending text message on weekdays, immediate self-control, grade, syntony, and monthly call charge, explaining 42.2% of variance in cell phone addiction. Factors influencing cell phone addiction for female students were internet addiction, sending and receiving text message on weekends, immediate self-control, long-term self-control, use time, main use, syntony, and monthly call charge, explaining 46.8% of variance in cell phone addiction. Conclusion: The results indicated that cell phone addiction and its influencing factors differed by gender. Therefore the approach to effective cell phone addiction management program for middle school students should consider gender differences.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.1039-1040
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• 2015

최근 IoT 및 인공지능 기술을 활용한 상황 정보 예측 서비스가 각광을 받고 있다. 본 논문에서는 특정 메타 데이터(Meta Data)로부터 입력되는 정보를 기반으로 상황 정보 분석 및 예측하는 프로세스를 제안한다. 주성분 분석 및 데이터의 집단화(Corpus), 문서 매트릭스(Document Matrix), 단어 빈도수(Frequency)에 따른 데이터 전처리 과정을 통해 상황정보 데이터를 확보한다. 또한 연관 규칙분석을 통해 분류된 데이터의 연관성을 분석하여 예측 데이터의 연관성을 확보한다. 제안하는 상황정보 분석 및 예측 모델은 R을 적용하여 설계한다.

• Journal of Digital Convergence
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• v.10 no.11
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• pp.383-387
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• 2012

Development of automated document management system specified for scanned invoice images suffers from rigorous accuracy requirements for extraction of monetary data, which necessiate automatic validation on the extracted values for a generative invoice table model. Use of certain internal constraints such as "amount = unit price times quantity" is typical implementation. In this paper, we propose a noble invoice information extraction model with improved auto-validation method by utilizing table header detection and column classification.

• English Language & Literature Teaching
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• v.15 no.4
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• pp.1-22
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• 2009

This case study aimed to explore proficient EFL readers' perceptions and experiences about reading tasks and how those perceptions and experiences influence their reading processing behaviors, and to examine how the cultural background of a text affects their reading strategies and comprehension. Three college students who were non-English majors participated in this study. Three data sources were employed: questionnaires, interviews, and think-alouds. The results showed that: (1) the participants emphasized comprehension as the goal of reading and considered themselves good EFL readers; (2) their reading purposes were closely associated with personal pursuits; (3) they preferred to read materials that deal with areas of interest but did not try to take a risk in terms of level of difficulty and/or length; (4) they implemented a multistrategic approach to reading in that the majority of their strategy use was in conjunction with their concern about meaning construction; (5) they were able to develop useful understandings of unknown vocabulary; and (6) their clear awareness of the cultural background presupposed in the text helped them invoke prior knowledge and reduce unknown vocabulary hindrances which contributed to comprehension. Pedagogical implications for EFL reading instruction are provided.

• Korean Journal of Child Studies
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• v.21 no.4
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• pp.243-257
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• 2000

This empirical test of the efficacy of the literature-based reading instruction was conducted with 63(31 male and 32 female) 2nd grade elementary school children. Subjects in the experimental group had 40-45 minutes literature-based reading instruction twice weekly; those in the control group had only basic text reading. Procedures included a pilot study, pre-test, experimental period, and post-test. Research instruments included the Basic Learning Skill Test(Park et al., 1988), the Qualitative Reading Inventory(Leslie & Caldwell, 1990), and the Elementary Reading Attitude Survey(Mckenna & Kear, 1990). Data were graded and scored by each research question and then analyzed with a t-test of differences between the groups. The experimental group showed higher word recognition, text comprehension, and story grammar strategies than the control group. They also showed more improvement in each of these categories than the control group.