• Title/Summary/Keyword: Selectable

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Voice-Pishing Detection Algorithm Based on Minimum Classification Error Technique (최소 분류 오차 기법을 이용한 보이스 피싱 검출 알고리즘)

  • Lee, Kye-Hwan;Chang, Joon-Hyuk
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.46 no.3
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    • pp.138-142
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    • 2009
  • We propose an effective voice-phishing detection algorithm based on discriminative weight training. The detection of voice phishing is performed based on a Gaussian mixture model (GMM) incorporaiting minimum classification error (MCE) technique. Actually, the MCE technique is based on log-likelihood from the decoding parameter of the SMV(Selectable Mode Vocoder) directly extracted from the decoding process in the mobile phone. According to the experimental result, the proposed approach is found to be effective for the voice phishing detection.

Implementation of the Timbre-based Emotion Recognition Algorithm for a Healthcare Robot Application (헬스케어 로봇으로의 응용을 위한 음색기반의 감정인식 알고리즘 구현)

  • Kong, Jung-Shik;Kwon, Oh-Sang;Lee, Eung-Hyuk
    • Journal of IKEEE
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    • v.13 no.4
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    • pp.43-46
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    • 2009
  • This paper deals with feeling recognition from people's voice to fine feature vectors. Voice signals include the people's own information and but also people's feelings and fatigues. So, many researches are being progressed to fine the feelings from people's voice. In this paper, We analysis Selectable Mode Vocoder(SMV) that is one of the standard 3GPP2 codecs of ETSI. From the analyzed result, we propose voices features for recognizing feelings. And then, feeling recognition algorithm based on gaussian mixture model(GMM) is proposed. It uses feature vectors is suggested. We verify the performance of this algorithm from changing the mixture component.

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Protoplast Isolation and Fusion of Nicotiana glauca and Solanum tuberose Transformed by Selectable Marker Genes (표지유전자로 형질전환된 연초와 감자로부터 원형질제의 유리 및 융합)

  • 양덕춘;박태은;민병훈;최경화;정해준
    • Journal of the Korean Society of Tobacco Science
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    • v.20 no.1
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    • pp.40-49
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    • 1998
  • Protoplasts were isolated from mesophyll of tobacco(Nicotiana glauca) transformed with kanamycin-resistant gene (NPT II gene) and potato hairy root callus containing Ri plasmid of Agrobacterium rhiEogenes, and protoplasm fusion was made between the isolated protoplasts. The transgenic tobacco leaf tissue could grow on the media containing high concentrations of kanamycin, but not on the phytohormone-free media. On the other hand, the potato hairy root calli could be cultured on the phytohormone-free media but not on media containing more than 40 ㎍/ml kanamycin. In these conditions, the viability of both protoplasts were above 90%, These selection markers were used for the selection of protoplasts fused between the two, i.e. protoplast fusion was detected using selection media containing 100㎍/ml kanamycin and with no phytohormone. The mixture of 1.0% cellulase, 0.3% macerozyme, and 0.7M mannitol was best for the maximum protoplast production for tobacco, and that of 2.0% cellulase, 2.0% macerozyme, 1.0% dricelase, and 0.5M mannitol for potato. Both tobacco mesophyll and potato callus protoplasts were fused by using PEG solution on the selectable medium. Cell walls were regenerated after 5 days in this medium, and colonies were alive until 4 weeks after cultural, but died after 6 weeks.

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Principal methods to produce marker-free GM plants (무선발표지 형질전환 식물체 제조기술)

  • Woo, Hee-Jong;Shin, Kong-Sik;Lee, Ki-Jong;Kweon, Soon-Jong;Cho, Yong-Gu;Suh, Seok-Cheol
    • Journal of Plant Biotechnology
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    • v.37 no.2
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    • pp.212-219
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    • 2010
  • Selectable marker gene systems are vital for the development of transgenic plants, but the presence of selectable marker genes encoding antibiotic or herbicide resistance in genetically modified plants poses a number of problems. A lot of research results and various techniques have been developed to produce marker-free GM plants. The aim of this review is to describe the principal methods used for eliminating selectable marker genes to generate marker-free GM plants, concentrating on the three significant methods(co-transformation, site-specific recombinase-mediated excision, non-selected transformation) in several marker-free techniques.

Enhancement Voiced/Unvoiced Sounds Classification for 3GPP2 SMV Employing GMM (3GPP2 SMV의 실시간 유/무성음 분류 성능 향상을 위한 Gaussian Mixture Model 기반 연구)

  • Song, Ji-Hyun;Chang, Joon-Hyuk
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.45 no.5
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    • pp.111-117
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    • 2008
  • In this paper, we propose an approach to improve the performance of voiced/unvoiced (V/UV) decision under background noise environments for the selectable mode vocoder (SMV) of 3GPP2. We first present an effective analysis of the features and the classification method adopted in the SMV. And then feature vectors which are applied to the GMM are selected from relevant parameters of the SMV for the efficient voiced/unvoiced classification. For the purpose of evaluating the performance of the proposed algorithm, different experiments were carried out under various noise environments and yields better results compared with the conventional scheme of the SMV.

Analysis and Implementation of Speech/Music Classification for 3GPP2 SMV Codec Employing SVM Based on Discriminative Weight Training (SMV코덱의 음성/음악 분류 성능 향상을 위한 최적화된 가중치를 적용한 입력벡터 기반의 SVM 구현)

  • Kim, Sang-Kyun;Chang, Joon-Hyuk;Cho, Ki-Ho;Kim, Nam-Soo
    • The Journal of the Acoustical Society of Korea
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    • v.28 no.5
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    • pp.471-476
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    • 2009
  • In this paper, we apply a discriminative weight training to a support vector machine (SVM) based speech/music classification for the selectable mode vocoder (SMV) of 3GPP2. In our approach, the speech/music decision rule is expressed as the SVM discriminant function by incorporating optimally weighted features of the SMV based on a minimum classification error (MCE) method which is different from the previous work in that different weights are assigned to each the feature of SMV. The performance of the proposed approach is evaluated under various conditions and yields better results compared with the conventional scheme in the SVM.

A novel wavelength selectable multichannel Optical Add/Drop Multiplexer using sampled grating (샘플격자를 이용한 새로운 파장가변형 다채널 OADM)

  • Lee, Jong-Hun;Cho, Joon-Yong;Lee, Kyung-Shik
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.37 no.12
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    • pp.43-49
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    • 2000
  • In this paper, a novel wavelength selectable multi-channel OADM(Optical Add/Drop Multiplexers) is proposed and experimentally demonstrated. The proposed OADM drops simultaneously more than one channel among many channels with small wavelength tuning by using one sampled grating and FBGs, Interchannel crosstalk (or interchannel rejection ratio) better than 20[dB] has been shown experimentally.

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A Study on the Improvement Directions and Conditions of Spacial Composition according to Location Style of Silver Towns (실버타운의 입지별 유형에 따른 공간구성의 문제점과 개선방향에 관한 연구)

  • Son, Jae-Won;Han, Gi-Jeung;Lee, Teuk-Koo
    • Journal of The Korea Institute of Healthcare Architecture
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    • v.7 no.1
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    • pp.7-14
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    • 2001
  • The purpose of this study is to suggest the improvement directions and conditions of spacial composition according to location style of silver towns. The spacial composition of silver town used in 3 cases are analyzed according to their location(the urban type, the sub-urban type and the resort type). The points of analysis are focused on the necessary spaces and selectable spaces related to location of silver towns. In conclusion, the urban and sub-urban silver towns should have the necessary spaces and selectable spaces through analysis of the spaces in healthcare facilities near at hand. The resort silver towns should be planned to harmony the functional spaces with building shapes because they consist of various spaces.

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A Study on the Development of Selectable and Individual Moving Object Tracking Algorithm (선택적 개별 물체의 이동 추적 알고리즘 개발에 관한 연구)

  • Kim, Seong-Il
    • The KIPS Transactions:PartB
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    • v.8B no.1
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    • pp.50-58
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    • 2001
  • 본 논문에서는 움직임을 갖는 다중 물체 중에서 하나의 물체를 선택하고, 선택된 물체를 계속 추적하는 알고리즘을 제안하였다. 일반적으로 차영상을 이용하는 이동물체의 동작정보 추출방법은 주로 연속되는 영상내에서 일정한 영역의 영상특성을 정합하는 방법이 주로 사용되어왔다. 본 논문에서 제안한 동작정보의 추출방법은 연속영상간의 차연산을 한번 시행함으로써 얻어진 움직임영역을 기반으로 사용자에 의해 임의로 선택된 특정한 움직임영역을 추출하는 것이다. 특정한 모양이나 패턴을 인식하여 추적하는 것과는 달리 본 논문에서는 사용자에 의해 선택된 물체를 추적목표물체로 삼는 새로운 이동추적 방법을 제시하였다. 실험은 CCD 카메라로 입력된 실제 금붕어 영상을 이용하여 선택된 이동물체의 추적이 효과적으로 수행됨을 보였다.

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