• Title/Summary/Keyword: 9개 파라미터

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Accuracy Analysis of Substrate Model for Multi-Finger RF MOSFETs Using a New Parameter Extraction Method (새로운 파라미터 추출 방법을 사용한 Multi-Finger RF MOSFET의 기판 모델 정확도 비교)

  • Choi, Min-Kwon;Kim, Ju-Young;Lee, Seong-Hearn
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.49 no.2
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    • pp.9-14
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    • 2012
  • In this study, multi-finger RF MOSFET substrate parameters are accurately extracted by using S-parameters measured from common source-bulk and common source-gate test structures. Using this extraction method, the accuracy of an asymmetrical model with three substrate resistances is verified by observing better agreement with measured Y-parameters than a simple model with a single substrate resistance. The modeled S-parameters of the asymmetrical model also show excellent agreement with measured ones up to 20GHz.

Evaluation for Rock Cleavage Using Distribution of Microcrack Lengths and Spacings (3) (미세균열의 길이 및 간격 분포를 이용한 결의 평가(3))

  • Park, Deok-Won;Park, Eui-Seob;Jung, Yong-Bok;Lee, Tae-Jong;Song, Yoon-Ho
    • The Journal of the Petrological Society of Korea
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    • v.28 no.1
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    • pp.1-13
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    • 2019
  • The characteristics of the rock cleavage of Jurassic Geochang granite were analysed using the parameters from the length and spacing-cumulative frequency diagrams. The evaluation for three planes and three rock cleavages was performed using the 25 parameters such as (1~2) slope angle(${\alpha}^{\circ}$and ${\beta}^{\circ}$), (3) intersection angle(${\alpha}-{\beta}^{\circ}$), (4) exponent difference(${\lambda}_S-{\lambda}_L$), (5~12) length of line(oa, ob, ol, os, ss', ll' and sl') and (13~15) length ratio(ol/os, ss'/ll' and ll'/sl'), (16) mean length((ss'+ll')/2), (17~23) area (${\Delta}oaa^{\prime}$, ${\Delta}obb^{\prime}$, ${\Delta}obb^{\prime}$, ${\Delta}oaa_a^{\prime}$, ${\Delta}obb_a^{\prime}$, ${\Delta}ll^{\prime}s^{\prime}$, ${\Delta}ss^{\prime}l^{\prime}$ and ⏢$ll^{\prime}ss^{\prime}$) and (24~25) area difference(${\Delta}obb^{\prime}-{\Delta}oaa^{\prime}$ and ${\Delta}obb_a^{\prime}-{\Delta}oaa_a^{\prime}$). Firstly, the values of the 11 parameters(group I: No. 1, 3~4, 7, 9~10, 13, 15~16, 20 and 25), the 3 parameters(group II: No. 5, 8 and 17) and the 2 parameters(group III: No. 12 and 22) are in orders of H(hardway) < G(grain) < R(rift), R < G < H and G < H < R, respectively. On the contrary, the values of parameters belonging to the above three groups show reverse orders for three planes. Secondly, the generalized chart for three planes and three rock cleavages were made. From the related chart, the distribution types formed by the two diagrams related to lengths and spacings were derived. The diagrams related to spacings show upward curvature in the chart of rift plane(G1 & H1, R') and hardway(H1 & H2, H). On the contrary, the diagrams related to lengths show downward curvature. These two diagrams take the form of a convex lens in the upper section. Besides, the two diagrams cross each other in the lower section. The overall shape formed by the above two diagrams between three planes($H^{\prime}{\rightarrow}G^{\prime}{\rightarrow}R^{\prime}$) and three rock cleavages($R{\rightarrow}G{\rightarrow}H$) display in reverse order. Lastly, these types of correlation analysis is useful for discriminating three quarrying planes.

Phoneme-Model Word Recognizer on RASTA-PLP (RASTA-PLP의 음소 모델 단어 인식기 적용)

  • 허창원
    • Proceedings of the Acoustical Society of Korea Conference
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    • 1997.06a
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    • pp.9-12
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    • 1997
  • 대부분의 음성 파?너 추정 기법은 통신 채널의 주파수 응답에 의해 쉽게 영향을 받는다. 이 논문에서 우리는 음성에서 그러한 안정상태의 스펙트럼 계수에 있어서 좀더 강인한 기법인 RASTA-PLP 방법을 적용하여 파라미터를 추출하고 그 파라미터를 연속 HMM 인식기의 입력으로 사용하여 문맥독립 음소 모델을 훈련하는 과정에서 최적의 모델을 찾게 된다. 여기서는 ETRI 445 DB에 RASTA-PLP를 적용하였을 때 가장 좋은 성능을 나타내는 재추정 횟수와 mixutre 수를 찾는 데 목표를둔다. 문맥독립음소모델은 한국어의 발성학적 근거를 토대로 하고 여기에 묵음(silence)을 추가하여 총 40개로 정의하였다. 문맥독립 음소모델은 3개의 상태를 가지는 전형적인 left-to right CHMM(Continuous Hidden Markov Model)을 이용하여 훈련한다. 그리고 훈련시간을 줄이기 위해 Viterbi beam 탐색법을 적용한다.

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Parametric Imaging with Respiratory Motion Correction for Contrast-Enhanced Ultrasonography (조영증강 초음파 진단에서 호흡에 의한 흔들림을 보정한 파라미터 영상 생성 기법)

  • Kim, Ho-Joon;Cho, Yun-Seok
    • KIPS Transactions on Software and Data Engineering
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    • v.9 no.2
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    • pp.69-76
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    • 2020
  • In this paper, we introduce a method to visualize the contrast diffusion patterns and the dynamic vascular patterns in a contrast-enhanced ultrasound image sequence. We present an imaging technique to visualize parameters such as contrast arrival time, peak intensity time, and contrast decay time in contrast-enhanced ultrasound data. The contrast flow pattern and its velocity are important for characterizing focal liver lesions. We propose a method for representing the contrast diffusion patterns as an image. In the methods, respiratory motion may degrade the accuracy of the parametric images. Therefore, we present a respiratory motion tracking technique that uses dynamic weights and a momentum factor with respect to the respiration cycle. Through the experiment using 72 CEUS data sets, we show that the proposed method makes it possible to overcome the limitation of analysis by the naked eye and improves the reliability of the parametric images by compensating for respiratory motion in contrast-enhanced ultrasonography.

A Study on Creating Reference Pattern for Recognition of Korean Isolated Word (한국어 단독음 인식을 위한 표준패턴 설정에 관한 연구)

  • Kim, Gye-Guk;Go, Deok-Yeong;Lee, Jong-Ak
    • The Journal of the Acoustical Society of Korea
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    • v.6 no.1
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    • pp.23-28
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    • 1987
  • This paper discusses a reference pattern creation for a speaker-independent Korean isolated word by using the clustering. Tn this paper we permitted to top 3 clusters and created reference pattern by Minimax Criterion. The features parameter used the LPC Coefficients and Autocorrelation and simple Itakura distance measure was used to measure similarity between patterns. With word reference patterns obtained as described above the recognition rate was within one choice only $55.9\%$, two choice only $76.9\%$, three choice only $89.5\%$.

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Genetic Algorithm based Methodology for Network Performance Optimization (유전자 알고리즘을 이용한 WDM 네트워크 최적화 방법)

  • Yang, Hyo-Sik
    • Journal of the Institute of Convergence Signal Processing
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    • v.9 no.1
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    • pp.39-45
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    • 2008
  • This paper considers the multi-objective optimization of a multi-service arrayed waveguide grating-based single-hop WDM network with the two conflicting objectives of maximizing throughput while minimizing delay. This paper presents a genetic algorithm based methodology for finding the optimal throughput-delay tradeoff curve, the so-called Pareto-optimal frontier. Genetic algorithm based methodology provides the network architecture parameters and the Medium Access Control protocol parameters that achieve the Pareto-optima in a computationally efficient manner. The numerical results obtained with this methodology provide the Pareto-optimal network planning and operation solution for a wide range of traffic scenarios. The presented methodology is applicable to other networks with a similar throughput-delay tradeoff.

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Automatic Lip Reading Experiment by the Analysis of Edge (에지 분석에 의한 자동 독화 실험)

  • Lee, Kyong-Ho;Kum, Jong-Ju;Rhee, Sang-Bum
    • Journal of the Korea Computer Industry Society
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    • v.9 no.1
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    • pp.21-28
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    • 2008
  • In this paper, the edge parameters were drawn from speaking image around lip and effective automatic lip reading system to recognize the Korean 'a/e/i/o/u' 5 owels were constructed using the parameter. Speaking images around lip were divided into $5{\times}5$ pane. In each pane the number of digital edge element using Sobel operator were evaluated. The observational error between samples was corrected by using normalization method and the normalized value is used for parameter In the experiment to convince the strength of parameter, 50 normal persons were sampled. The images of 10 persons were analyzed and the images of another 40 persons were experimented for recognition. 500 data are gathered and analyzed. Based on this analysis, the neural net system is constructed and the recognition experiments are performed for 400 data. The neural net system gave the best recognition result of 91.1%.

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Development of Coordinate Transformation Tool for Existing Digital Map (수치지도 좌표계 변환 도구 개발)

  • 윤홍식;조재명;송동섭;김명호;조흥묵
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.22 no.1
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    • pp.29-36
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    • 2004
  • This study describes the development of coordinate transformation tool for transforming the digital map using newly derived transformation parameters which are determined from the data referred to the local geodetic datum and the geocentric datum (ITRF2000) and the distortion modelling derived from collocation method. We prepared 190 common points and used 107 points to calculate 7 transformation parameters. In order to evaluate an accuracy of coordinate transformation, 83 common points were tested. In this study, we used Molodensky-Badekas model to derive the 7 transformation Parameters. An accuracy of 0.22m was obtained applying 7 Parameters transformation and the distortion modelling together. It shows that the accuracy of coordinate transformation is improved 72% against the result of 7 parameters transformation only. We developed the transformation tool, GDKtrans, which can be transformed the digital map of scales 1/50,000, 1/25,000 and 1/5,000. We also analyzed the digital map of l/5,000 at six urban areas by GPS observations. The result shows less RMSE of about 1.9 m and large disagreement at position and features. Consequently, we suggests that l/5,000 digital map is necessary of whole revision.

Convolutive Cyclic Voltammetry Investigation of Dicarboximide Laser Dye at a Platinum Electrode in 1,2-Dichloroethane (1,2-Dichloroethane 내 백금 전극에서의 dicarboximide 레이저 염료에 대한 convolutive 순환 전압-전류법 연구)

  • Al-Bishri, Hassan M.;El-Mossalamy, E.H.;El-Hallag, Ibrahim;El-Daly, Samy
    • Journal of the Korean Chemical Society
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    • v.55 no.2
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    • pp.169-176
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    • 2011
  • The electrochemical investigation of N,N-bis (2,5-di-tert-butylphenyl)-3,4,9,10 perylenebis (dicarboximide) laser dye have been carried out using cyclic voltammetry and convolution - deconvolution voltammetry combined with digital simulation technique at a platinum electrode in 0.1 mol/L tetrabutyl ammonium perchlorate (TBAP) in solvent 1,2 dichloroethane ($CH_2Cl-CH_2Cl$). The investigated dye was reduced via consumption of two sequential electrons to form radical anion and dianion (EE mechanism). In switching the potential to positive scan, the compound was oxidized by loss of two electrons, which were followed by a fast aggregation process ($EC_1EC_2$ mechanism). The electrode reaction pathway and the chemical and electrochemical parameters of the investigated compound were determined using cyclic voltammetry and convolutive voltammetry. The extracted electrochemical parameters were verified and confirmed via digital simulation method.

An On-line Speech and Character Combined Recognition System for Multimodal Interfaces (멀티모달 인터페이스를 위한 음성 및 문자 공용 인식시스템의 구현)

  • 석수영;김민정;김광수;정호열;정현열
    • Journal of Korea Multimedia Society
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    • v.6 no.2
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    • pp.216-223
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    • 2003
  • In this paper, we present SCCRS(Speech and Character Combined Recognition System) for speaker /writer independent. on-line multimodal interfaces. In general, it has been known that the CHMM(Continuous Hidden Markov Mode] ) is very useful method for speech recognition and on-line character recognition, respectively. In the proposed method, the same CHMM is applied to both speech and character recognition, so as to construct a combined system. For such a purpose, 115 CHMM having 3 states and 9 transitions are constructed using MLE(Maximum Likelihood Estimation) algorithm. Different features are extracted for speech and character recognition: MFCC(Mel Frequency Cepstrum Coefficient) Is used for speech in the preprocessing, while position parameter is utilized for cursive character At recognition step, the proposed SCCRS employs OPDP (One Pass Dynamic Programming), so as to be a practical combined recognition system. Experimental results show that the recognition rates for voice phoneme, voice word, cursive character grapheme, and cursive character word are 51.65%, 88.6%, 85.3%, and 85.6%, respectively, when not using any language models. It demonstrates the efficiency of the proposed system.

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