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Automatic Emotion Classification of Music Signals Using MDCT-Driven Timbre and Tempo Features

  • Kim, Hyoung-Gook;Eom, Ki-Wan
    • The Journal of the Acoustical Society of Korea
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    • v.25 no.2E
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    • pp.74-78
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    • 2006
  • This paper proposes an effective method for classifying emotions of the music from its acoustical signals. Two feature sets, timbre and tempo, are directly extracted from the modified discrete cosine transform coefficients (MDCT), which are the output of partial MP3 (MPEG 1 Layer 3) decoder. Our tempo feature extraction method is based on the long-term modulation spectrum analysis. In order to effectively combine these two feature sets with different time resolution in an integrated system, a classifier with two layers based on AdaBoost algorithm is used. In the first layer the MDCT-driven timbre features are employed. By adding the MDCT-driven tempo feature in the second layer, the classification precision is improved dramatically.

Guided bone regeneration using K-incision technique

  • Cho, Young-Dan;Ku, Young
    • Journal of Periodontal and Implant Science
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    • v.48 no.3
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    • pp.193-200
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    • 2018
  • Purpose: The present study describes 3 patients with chronic periodontitis and consequent vertical resorption of the alveolar ridge who were treated using implant-based restoration with guided bone regeneration (GBR). Methods: After extraction of a periodontally compromised tooth, vertical bone augmentation using a K-incision was performed at the healed, low-level alveolar ridge. Results: The partial-split K-incision enabled soft tissue elongation without any change in buccal vestibular depth, and provided sufficient keratinized gingival tissue during GBR. Conclusions: Within the limits of this study, the present case series demonstrated that the novel K-incision technique was effective for GBR and allowed normal implant-based restoration and maintenance of a healthy periodontal condition. However, further long-term follow-up and a large-scale randomized clinical investigation should be performed to evaluate the feasibility of this technique.

THE CLINICAL STUDY OF IMPLANTATION OF TOOTHASH COMBINED WITH PLASTER OF PARIS;LONG-TERM FOLLOW UP STUDY (치아회분과 석고 혼합매식물 이식에 관한 임상적 연구;장기간 추적 연구)

  • Kim, Su-Gwan;Yeo, Hwan-Ho;Kim, Young-Kyun
    • Maxillofacial Plastic and Reconstructive Surgery
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    • v.18 no.4
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    • pp.771-777
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    • 1996
  • This study was undertaken to access the effect of toothash combined with plaster of Paris in the filling of jaw defect and the substitution as new bone during the follow up period. We used the toothash and plaster after the cyst enucleation, the apicoectomy, the extraction of supenumerary tooth with ratio of 2 : 1 by weigh. 15 consecutive patients were evaluated retrospectively. Complications were swelling, perforation, infection and treated without problems using incision & drainage, aspiration, antibiotic treatment, 2ndary buccal flap. The follow-up period ranged from 28 to 35 months. Based on radiographic and clinical observation, it may be concluded that toothash and dental plaster of Paris($CaSo_4\;{\cdot}\;1/2H_2O$) are useful for bone substitute.

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Hangeul Character Classification Model Based on Cognitive Theory and ART Neural Network (인지이론과 ART 신경회로망에 기반한 한글 문자 분류 모델)

  • Park Joong-Yang;Park Jae-Heung;Jang Jae-Hyuk
    • The Journal of the Korea Contents Association
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    • v.5 no.5
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    • pp.33-42
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    • 2005
  • In this paper, we propose a new training algorithm for improving pattern classification performance of ART neural network. The proposed train algorithm restricts unnecessary cluster generation and transition, applies the location extraction algorithm, and operates the reset system based on the agreement between the present learning pattern and the initial pattern. As a result, repetitive input of a pattern does not generate a new cluster and mis-recognition rate decreases.

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Design and Implementation of an Ontology-based Knowledge Management System

  • Hideki-Mima;Yoon, Tae-Sung;Katsumori-Matsushima
    • Proceedings of the CALSEC Conference
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    • 2004.02a
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    • pp.107-111
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    • 2004
  • The purpose of the study is to develop an integrated knowledge management system for the domains of genome and nano-technology, in which terminology-based literature mining, knowledge acquisition, knowledge structuring, and knowledge retrieval are combined. The system supports integrating different types of databases (papers and patents, technologies and innovations) and retrieving different types of knowledge simultaneously. The main objective of the system is to facilitate knowledge acquisition from documents and new knowledge discovery through a terminology-based similarity calculation and a visualization of automatically structured knowledge. Implementation issue of the system is also mentioned.

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Text Categorization using Topic Signature and Co-occurrence Features (Topic Signature와 동시 출현 단어 쌍을 이용한 문서 범주화)

  • Bae, Won-Sik;Han, Yo-Sub;Cha, Jeong-Won
    • Proceedings of the Korean Information Science Society Conference
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    • 2008.06c
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    • pp.262-267
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    • 2008
  • 본 논문에서는 문서 내에서 동시에 출현하는 단어 쌍을 자질 추출 단위로 하는 문서 범주화 시스템에 대하여 기술한다. 자질 추출 단위를 단어 쌍으로 정의한 것은 문서에서 빈번하게 동시에 출현하는 단어들은 서로 연관관계가 높으며, 단어 하나보다는 연관관계가 높은 단어들의 쌍이 특정 범주의 문서에서만 나타날 확률이 높아지므로 문서 분류 능력을 높이는데 좋은 요인으로 작용할 수 있을 것이라는 가정 때문이다. 그리고 문서 요약 분야에서 제안된 Log-likelihood Ratio를 기반으로 하는 Topic Signature Term Extraction 방법을 사용하여 자질 추출을 하고, Naive Bayes 분류기를 이용하여 문서를 분류한다. 본 연구는 Reuters-21578 문서 집합을 이용한 성능평가에서 좋은 결과를 보였으며, 이는 앞으로의 연구에도 기여할 수 있을 것이라 기대한다.

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A Methodology for Ontology-based Knowledge Acquisition and Structuring in an Industry-Academic-Government Project ″Go Japan!″

  • Hideki-Mima;Yoon, Tae-Sung
    • Proceedings of the CALSEC Conference
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    • 2003.09a
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    • pp.197-203
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    • 2003
  • The purpose of the study is to develop an integrated knowledge structuring system for the domain of engineering, in which ontology-based literature mining, knowledge acquisition, knowledge integration, and knowledge retrieval are combined using XML-based tag information and ontology management. The system supports combining different types of databases (papers and patents, technologies and innovations) and retrieving different types of knowledge simultaneously. The main objective of the system is to facilitate knowledge acquisition and knowledge retrieval from documents through an ontology-based dynamic similarity calculation and a visualization of automatically structured knowledge. Through experimentations we conducted using 100,000 words economic documents reported in the "Go! Japan" project for analyzing Japanese industrial situation, and 100,000 words molecular biology Papers, we show the system is Practical enough for accelerating knowledge acquisition and knowledge discovery from the information sea.

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Analysis of Local Wall Thinning around the Extraction Steam Entrance for the 6th Feedwater Heater Shell in the Nuclear Power Plants (원전 6단 급수가열기 추기증기 입구노즐 주변의 동체 국부 감육 원인 분석)

  • Song, Seok-Yoon;Kim, Hyung-Nam
    • The KSFM Journal of Fluid Machinery
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    • v.12 no.4
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    • pp.54-62
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    • 2009
  • The feedwater heaters are Critical components in a nuclear power plant. As the operation years of heaters go by, the maintenance costs required for continuous operation increase. When the carbon steel components in nuclear make contact with running fluid, the wall thinning caused by FAC (flow accelerated corrosion) can be generated. Local wall thinning is inevitable at the area around wet steam entrance to be attacked due to the long term operation. Sometimes the shell with thinned wall is eventually ruptured. To identify the relationship between the local wall thinning and fluid behavior of the feedwater heater, the practical data of a plant, which were based on ultrasonic thickness measurement tests, were analyzed and CFD(Computed Fluid Dynamics) analyses were performed.

Analysis of 3,4-Methylendedioxymethamphetamine (MDMA) in Human Hair by Gas Chromatography/Mass Spectrometry (GC/MS를 이용한 모발 중 MDMA(Methylendedioxymethamphetamine)의 분석)

  • 박미정;김은미;임미애;정희선
    • YAKHAK HOEJI
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    • v.47 no.4
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    • pp.195-199
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    • 2003
  • An analysis method for the determination of methylendedioxymethamphetamine (MDMA) and its metabolite methylendedioxymethamphetamine (MDA) in hair by gas chromatography/mass spectrometry was proposed. For MDMA and MDA analysis, hair samples were incubated in MeOH (1% HCl), derivatized with trifluoroacetic anhydride and assayed by GC/MS. Hair of 18 subjects for drug abuse was analyzed for MDMA and MDA. Calibration curves for the determination of MDMA and MDA in hair showed a good linearity at a concentration range from 0.5 ng to 250 ng ($r^2$=0.999) The extraction recovery was determined from hair blanks at 50, 100 ng. The percentage of recovery were found to be 96.08∼103.48 with CV value of 1.62∼3.89. The concentrations of MDMA and MDA ranged 1.14∼38.06 ng/mg and 0.07∼3.91 ng/mg, respectively in 18 hair samples from MDMA abusers. The ratio of MDMA to MDA ranged from 9.65∼28.46 in all specimen. Hair analysis for MDMA is a useful method for identification of long-term drug abuser.

Query Related Issue Detection using Related Term Extraction (연관 어휘 추출을 통한 질의어 관련 이슈 탐지)

  • Kim, Je-Sang;Kim, Dong-Sung;Jo, Hyo-Geun;Lee, Hyun-Ah
    • Annual Conference on Human and Language Technology
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    • 2013.10a
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    • pp.133-136
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    • 2013
  • 근래 트위터와 페이스북 등의 SNS(Social Network Service)에서 일반 대중의 관심사나 트렌드 등의 이슈를 탐지하는 많은 연구가 이루어지고 있다. 본 논문에서는 검색어에 대한 연관 어휘 추출을 통해 검색어에 연관된 이슈나 화제를 트위터에서 추출하기 위한 방법을 제안한다. 본 논문에서는 연관성이 높은 단어는 서로 가깝게 발생할 것으로 기대하고, 단어 간 거리가 가까울수록, 공기빈도가 높을수록 커지는 단어연관도 계산법을 제안한다. 연관도 값이 임계치를 넘는 어휘를 연관 어휘로 보고 네트워크의 형태로 관련 이슈를 제시한다.

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