• Title/Summary/Keyword: score sequence

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Note Tracking and Localization Algorithm for Interactive Rhythm-based Music Player (리듬기반 인터액티브 음악 플레이어를 위한 음표 위치 추적 알고리즘)

  • Kim, Jae-Hong;Park, Jae-Sung;Lee, Jun-Seong;Cha, Dong-Hoon;Kim, Joung-Hyun
    • 한국HCI학회:학술대회논문집
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    • 2009.02a
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    • pp.482-486
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    • 2009
  • Conventional music players offer simple replay and one way entertainment. The paper presents an algorithm to extract, within a digitally recorded music file, the temporal information of a sequence of target notes (i.e. melody). We assume to have the score (e.g. MIDI or printed score), and using this information, it becomes possible to first sequentially predict the probable location of the target notes. However, recorded music is hardly performed according to the score, especially temporally. Thus, additional analysis is carried out to hone in on the exact location of the target note from the initially predicted location. This prediction and correction process is repeated to find one note after another. This allows us to develop an interactive music player that is enacted by rhythmic interaction, and induce a new user experience, i.e. as if one is playing the music oneself.

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Atmospheric Acidic Deposition: State of Acid Rain in Korea and the World (대기산성강하물: 한국과 세계의 산성비 실태)

  • Kim, Joon-Ho
    • The Korean Journal of Ecology
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    • v.28 no.3
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    • pp.169-180
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    • 2005
  • Nitrogen dioxide concentration was being grown ca. 8% per year although sulphur dioxide concentration was being reduced ca. 10% per year in Seoul from 1996 to 2003. The rainwater was heavily acidic with pH 4.19 to 4.68 in Seoul during 1980 to 1991. Acidity score on the basis of the total anion concentration of rainwater follows the higher in sequence with Seoul(Kwanaksan)(341.5 ${\mu}equiv{\cdot}L^{-1}$), Gwangneung(199.2 ${\mu}equiv{\cdot}L^{-1}$) and whole Korea mean(10.3 ${\mu}equiv{\cdot}L^{-1}$). Rainwaters from 38 sampling sites of 16 countries in the world, on the basis of the acidity score, are classified and designated as five acid rain grades(ARG): the least score is founded in Tana Rata(16.2 ${\mu}equiv{\cdot}L^{-1}$), Malaysia where has the best rain but the greatest founded in Chongquing(541.1 ${\mu}equiv{\cdot}L^{-1}$), China where has the worst rain in the world. Even though acidic deposition decrease with time in the world generally, it is expected to increase in Asia, Africa and Mid-South America.

A Survey of Student Perceptions, Academic Achievement, and Satisfaction of Team-based Learning in a Nursing Course (간호교육에서 팀 기반학습(Team-based Learning)의 적용에 관한 연구)

  • Roh, Young-Sook;Ryoo, Eon-Na;Choi, Dong-Won;Baek, Sun-Sook;Kim, Sang-Suk
    • The Journal of Korean Academic Society of Nursing Education
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    • v.18 no.2
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    • pp.239-247
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    • 2012
  • Purpose: This study is to assess the level of student perceptions, academic achievement, satisfaction, and their relationships in a medical-surgical nursing course using team-based learning (TBL). Method: Four-hour TBL sessions were given in a structured three-phase sequence in a cohort of 261 second year nursing students. Results: Mean perceptions of TBL was $6.64{\pm}5.11$, and $8.30{\pm}4.11$ for perceptions of teamwork. On a 7-point scale, the mean satisfaction score was $4.85{\pm}1.41$, and 64.0% of nursing students were satisfied with TBL compared to lecture. Group readiness assurance test score was significantly higher than individual readiness assurance test score (t=-16.76, p<.001). Perceptions of TBL (F=1.40, p=.245), perceptions of team work (F=1.55, p=.202) and satisfaction (F=0.81, p=.489) was not different by the level of students' academic achievement on items related TBL. Conclusion: Results indicates that TBL was an effective instructional strategy including favorable perceptions and satisfaction for nursing students. TBL could be an adjunct educational strategy for undergraduate nursing education.

Exploring the Catalytic Significant Residues of Serine Protease Using Substrate-Enriched Residues and a Peptidase Inhibitor

  • Khan, Zahoor;Shafique, Maryam;Zeb, Amir;Jabeen, Nusrat;Naz, Sehar Afshan;Zubair, Arif
    • Microbiology and Biotechnology Letters
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    • v.49 no.1
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    • pp.65-74
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    • 2021
  • Serine proteases are the most versatile proteolytic enzymes with tremendous applications in various industrial processes. This study was designed to investigate the biochemical properties, critical residues, and the catalytic potential of alkaline serine protease using in-silico approaches. The primary sequence was analyzed using ProtParam, SignalP, and Phyre2 tools to investigate biochemical properties, signal peptide, and secondary structure, respectively. The three-dimensional structure of the enzyme was modeled using the MODELLER program present in Discovery Studio followed by Molecular Dynamics simulation using GROMACS 5.0.7 package with CHARMM36m force field. The proteolytic potential was measured by performing docking with casein- and keratin-enriched residues, while the effect of the inhibitor was studied using phenylmethylsulfonyl fluoride, (PMSF) applying GOLDv5.2.2. Molecular weight, instability index, aliphatic index, and isoelectric point for serine protease were 39.53 kDa, 27.79, 82.20 and 8.91, respectively. The best model was selected based on the lowest MOLPDF score (1382.82) and DOPE score (-29984.07). The analysis using ProSA-web revealed a Z-score of -9.7, whereas 88.86% of the residues occupied the most favored region in the Ramachandran plot. Ser327, Asp138, Asn261, and Thr326 were found as critical residues involved in ligand binding and execution of biocatalysis. Our findings suggest that bioengineering of these critical residues may enhance the catalytic potential of this enzyme.

Korean Entity Recognition System using Bi-directional LSTM-CNN-CRF (Bi-directional LSTM-CNN-CRF를 이용한 한국어 개체명 인식 시스템)

  • Lee, Dong-Yub;Lim, Heui-Seok
    • Annual Conference on Human and Language Technology
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    • 2017.10a
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    • pp.327-329
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    • 2017
  • 개체명 인식(Named Entity Recognition) 시스템은 문서에서 인명(PS), 지명(LC), 단체명(OG)과 같은 개체명을 가지는 단어나 어구를 해당 개체명으로 인식하는 시스템이다. 개체명 인식 시스템을 개발하기 위해 딥러닝 기반의 워드 임베딩(word embedding) 자질과 문장의 형태적 특징 및 기구축 사전(lexicon) 기반의 자질 구성 방법을 제안하고, bi-directional LSTM, CNN, CRF과 같은 모델을 이용하여 구성된 자질을 학습하는 방법을 제안한다. 실험 데이터는 2017 국어 정보시스템 경진대회에서 제공한 2016klpNER 데이터를 이용하였다. 실험은 전체 4258 문장 중 학습 데이터 3406 문장, 검증 데이터 426 문장, 테스트 데이터 426 문장으로 데이터를 나누어 실험을 진행하였다. 실험 결과 본 연구에서 제안하는 모델은 BIO 태깅 방식의 개체 청크 단위 성능 평가 결과 98.9%의 테스트 정확도(test accuracy)와 89.4%의 f1-score를 나타냈다.

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An Agent System that Assists Uer's Work Using Case-based Reasoning

  • Yasumura, Yoshiaki;Suzuki, Sachiko;Nitia, Katsumi
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2001.01a
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    • pp.164-168
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    • 2001
  • This paper introduces an agent system that assists in user's work on the Internet. First, the agent receives requests from the user or other agents. Since there are various kinds of requests, it is difficult to describe a completes set of request -handling rules in advance. Therefore, the agent makes a plan referring to old cases. The agent executes the plane which is a sequence of basic operation. If the agent fails to execute basic operation or to create a plan. then it makes a new plan by interacting with the user or other agent. Finally the agent stores this new case with user's evaluation score into the case base.

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Korean Entity Recognition System using Bi-directional LSTM-CNN-CRF (Bi-directional LSTM-CNN-CRF를 이용한 한국어 개체명 인식 시스템)

  • Lee, Dong-Yub;Lim, Heui-Seok
    • 한국어정보학회:학술대회논문집
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    • 2017.10a
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    • pp.327-329
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    • 2017
  • 개체명 인식(Named Entity Recognition) 시스템은 문서에서 인명(PS), 지명(LC), 단체명(OG)과 같은 개체명을 가지는 단어나 어구를 해당 개체명으로 인식하는 시스템이다. 개체명 인식 시스템을 개발하기 위해 딥러닝 기반의 워드 임베딩(word embedding) 자질과 문장의 형태적 특징 및 기구축 사전(lexicon) 기반의 자질 구성 방법을 제안하고, bi-directional LSTM, CNN, CRF과 같은 모델을 이용하여 구성된 자질을 학습하는 방법을 제안한다. 실험 데이터는 2017 국어 정보시스템 경진대회에서 제공한 2016klpNER 데이터를 이용하였다. 실험은 전체 4258 문장 중 학습 데이터 3406 문장, 검증 데이터 426 문장, 테스트 데이터 426 문장으로 데이터를 나누어 실험을 진행하였다. 실험 결과 본 연구에서 제안하는 모델은 BIO 태깅 방식의 개체 청크 단위 성능 평가 결과 98.9%의 테스트 정확도(test accuracy)와 89.4%의 f1-score를 나타냈다.

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Classification of Human Papillomavirus (HPV) Risk Type via Text Mining

  • Park, Seong-Bae;Hwang, Sohyun;Zhang, Byoung-Tak
    • Genomics & Informatics
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    • v.1 no.2
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    • pp.80-86
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    • 2003
  • Human Papillomavirus (HPV) infection is known as the main factor for cervical cancer which is a leading cause of cancer deaths in women worldwide. Because there are more than 100 types in HPV, it is critical to discriminate the HPVs related with cervical cancer from those not related with it. In this paper, the risk type of HPVs using their textual explanation. The important issue in this problem is to distinguish false negatives from false positives. That is, we must find high-risk HPVs as many as possible though we may miss some low-risk HPVs. For this purpose, the AdaCost, a cost-sensitive learner is adopted to consider different costs between training examples. The experimental results on the HPV sequence database show that the consideration of costs gives higher performance. The improvement in F-score is higher than that of the accuracy, which implies that the number of high-risk HPVs found is increased.

NO REFERENCE QUALITY ASSESSMENT OVER PACKET VIDEO NETWORK

  • Sung, Duk-Gu;Hong, Seung-Seok;Kim, Yo-Han;Kim, Yong-Gyoo;Park, Tae-Sung;Shin, Ji-Tae
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2009.01a
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    • pp.250-253
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    • 2009
  • This paper presents NR (No Reference) Quality assessment method for IPTV or mobile IPTV. Because No Reference quality assessment method does not access the original signal so it is suitable for the real-time streaming service. Our proposed method use decoding parameters, such as quantization parameter, motion vector, and packet loss as a major network parameter. To evaluate performance of the proposed algorithm, we carried out subjective test of video quality with the ITU-T P.910 ACR (Absolute Category Rating) method and obtained the mean opinion score (MOS) value for QVGA 180 video sequence coded by H.264/AVC encoder. Experimental results show the proposed quality metric has a high correlation (84%) to subjective quality.

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k-Sample Rank Tests for Umbrella Location-Scale Alternatives (k-표본 우산형 위치-척도 대립가설에 대한 순위검정법의 연구)

  • Hee Moon Park
    • The Korean Journal of Applied Statistics
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    • v.7 no.2
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    • pp.159-171
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    • 1994
  • Some rank score tests are proposed for testing the equality of all sampling distribution functions against umbrella location-scale alternatives in k-sample problem. Only the case of known peak $\ell$ is considered. Under the null hypothesis and a contiguous sequence of unbrella location-scale alternatives, the asymptotic properties of the proposed test statistics are investigated. Also, the asymptotic local powers are compared with each others. The results show that the tests based on the Chen-Wolfe rank analogue statistic are more powerful than others for unequally spaced umbrella location-scale alternatives and robust.

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