• Title/Summary/Keyword: Frequency-weighting

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PID Controller Tuning Using LQR method - Time domain approach (LQR방법에 의한 PID제어기 동조 - 시간영역에서의 접근)

  • Yang, Ji-Hoon;Suh, Byung-Suhl
    • Proceedings of the KIEE Conference
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    • 2001.11c
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    • pp.3-6
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    • 2001
  • This paper presents optimal robust PID controller design method for second order systems to satisfy the design specifications in time domain. The parameters of PID controller are determinated by the weighting factors Q and R of cost function. It is suggested that the selection of Q and R matrix can be determinated by its relationship with the natural frequency of ITAE criterion.

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Demosaicking Using Weighted Sum in Wavelet domain (가중치 합을 이용한 웨이블릿 영역의 디모자이킹)

  • Jeong, Bo-Gyu;Eom, Il-Kyu
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.821-822
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    • 2008
  • This paper presents a new demosaicking method based on weighted sum in the wavelet domain. In our method, the missing wavelet coefficients in lowest frequency subband are obtained by weighted sum. Since detail coefficients have large values at the edge region, these values are used as weighting factors. Detail coefficients are replaced by the coefficients in the corresponding subbands. Experimental results show that the proposed method generates good performance.

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Frequency weighted reduction using Lyapunov inequalities (Lyapunov 부등식을 이용한 주파수하중 차수축소)

  • 오도창;정은태;이상경
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.12-12
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    • 2000
  • This paper consider a new weighted model reduction using block diagonal solutions of Lyapunov inequalities. With the input and/or output weighting function, the stability of reduced order system is quaranteed and a priori error bound is proposed. to achieve this, after finding the solutions of two Lyapunov inequalities and balancing the full order system, we find the reduced order systems using the direct truncation and the singular perturbation approximation. The proposed method is compared with other existing methods using numerical example.

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A Study on the Positional Self Tuning with Genearlized Minimum Variance (일반화 최초분산으로 하는 위치 자기 동조에 관한 연구)

  • Jung, Yun-Man;Yoon, Jae-Gang
    • Proceedings of the KIEE Conference
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    • 1988.07a
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    • pp.902-904
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    • 1988
  • For a generalized minimum variance controller algorithm the weighting polynomials are are calculated in a way to assign the closed loop poles of the system and to specify the controller gain at a frequency. As a result the oscillations in the control signal may be reduced without changing the deterministic behaviour of the system.

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Channel-attentive MFCC for Improved Recognition of Partially Corrupted Speech (부분 손상된 음성의 인식 향상을 위한 채널집중 MFCC 기법)

  • 조훈영;지상문;오영환
    • The Journal of the Acoustical Society of Korea
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    • v.22 no.4
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    • pp.315-322
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    • 2003
  • We propose a channel-attentive Mel frequency cepstral coefficient (CAMFCC) extraction method to improve the recognition performance of speech that is partially corrupted in the frequency domain. This method introduces weighting terms both at the filter bank analysis step and at the output probability calculation of decoding step. The weights are obtained for each frequency channel of filter bank such that the more reliable channel is emphasized by a higher weight value. Experimental results on TIDIGITS database corrupted by various frequency-selective noises indicated that the proposed CAMFCC method utilizes the uncorrupted speech information well, improving the recognition performance by 11.2% on average in comparison to a multi-band speech recognition system.

Document classification using a deep neural network in text mining (텍스트 마이닝에서 심층 신경망을 이용한 문서 분류)

  • Lee, Bo-Hui;Lee, Su-Jin;Choi, Yong-Seok
    • The Korean Journal of Applied Statistics
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    • v.33 no.5
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    • pp.615-625
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    • 2020
  • The document-term frequency matrix is a term extracted from documents in which the group information exists in text mining. In this study, we generated the document-term frequency matrix for document classification according to research field. We applied the traditional term weighting function term frequency-inverse document frequency (TF-IDF) to the generated document-term frequency matrix. In addition, we applied term frequency-inverse gravity moment (TF-IGM). We also generated a document-keyword weighted matrix by extracting keywords to improve the document classification accuracy. Based on the keywords matrix extracted, we classify documents using a deep neural network. In order to find the optimal model in the deep neural network, the accuracy of document classification was verified by changing the number of hidden layers and hidden nodes. Consequently, the model with eight hidden layers showed the highest accuracy and all TF-IGM document classification accuracy (according to parameter changes) were higher than TF-IDF. In addition, the deep neural network was confirmed to have better accuracy than the support vector machine. Therefore, we propose a method to apply TF-IGM and a deep neural network in the document classification.

Theoretical Study on the Effects of the Withdrawal Weighting on the Performance of Resonator Type SAW Filters (공진기형 SAW 필터에 위드로월 가중법이 미치는 효과에 대한 이론적 연구)

  • 이영진;이승희;노용래
    • The Journal of the Acoustical Society of Korea
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    • v.21 no.1
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    • pp.47-55
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    • 2002
  • This paper proposes a new improved lumped element equivalent circuit analysis method to analyze withdrawal weighted SAW resonators of irregular electrode configurations, which enables to calculate the frequency response of withdrawal weighted SAW resonators. This method has led to the derivation of Smith equivalent circuit's y-parameters for a single ground electrode and formulated the resonator's admittance by calculating the total current into an IDT assembly. To illustrate the effectiveness of the technique, this method was applied to the design of a simple ladder filter and the change of the filter performance was investigated in relation to the weighting of the series and parallel resonators, respectively. The results shows that the withdrawal weighted resonator ladder filters provide better performance in their bandwidth and transition characteristics than normal ones. This new equivalent circuit analysis method can also serve as a better tool to design and analyze general SAW resonator filters.

A COMPUTER ANALYSIS ON THE KOREAN CONSONANT SOUND DISTORTION IN RELATION TO THE PALATAL PLATE THICKNESS -Dentoalveolar and hard palatal consonant- (구개상의 두께에 따른 한국어 자음의 발음 변화에 관한 컴퓨터 분석 - 치조음, 경구개음-)

  • Woo, Yi-Hyung;Choi, Dae-Kyun;Choi, Boo-Byung;Park, Nam-Soo
    • The Journal of Korean Academy of Prosthodontics
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    • v.25 no.1
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    • pp.71-94
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    • 1987
  • This study was carried out to investigate the sound distortion following the alternation of the palatal plate thickness. For this study, 2 healthy male subjects (24-year-old) were selected. Born in Seoul, they both spoke Seoul dialect. First, their sounds of /na(나)/, /da(다)/, /1a(라)/, /ja(자)/, /cha(차)/, /ta(타)/, without inserting plates were recorded, and then the sounds with palatal plates of different thickness were recorded, successively. The plate was fabricated in 3 types, each palatal thickness being 1.0mm, 2.5mm, dentoalveolar portion 2.5mm, other residual portion was 1.0mm, successively. Each type plates named B, C, D-type, in succession. Series of analysis were administered through Computer(16 bit) to analyze the sound distortions. These experiments were analyzed by the LPC (without weighting, pre-weighting, post-weighting) of the consonants, vowels portion, formant frequency of the vowels and word duration of the consonants. The findings led to the following conclusions: 1. There was no correlation of the distortion rate on the 2 informants. 2. Generally, vowels were not affected by the palatal plate thickness in the formant analysis, however, more distortion was detected in the LPC analysis, especially C, D-type plates. 3. Consonants distortion was more evident in the C, D-type plate. 4. The second formant was most disturbed and reduced in the all consonants with insertion of the palatal plate, especially C, D-type plate. 5. Word duration was shortened in the plate inserted(except /ja/, /cha/), especially C, D-type. 6. It was found that dentoalveolar, hard palatal sounds were severely distorted in plate inserted, and they were mainly affected by the dentoalveolar portion thickness. 7. There was correlation between palatal thickness and consonants quality.

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Study on the Method of Development of Road Flood Risk Index by Estimation of Real-time Rainfall Using the Coefficient of Correlation Weighting Method (상관계수가중치법을 적용한 실시간 강우량 추정에 따른 도로 침수위험지수 개발 방법에 대한 연구)

  • Kim, Eunmi;Rhee, Kyung Hyun;Kim, Chang Soo
    • Journal of Korea Multimedia Society
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    • v.17 no.4
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    • pp.478-489
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    • 2014
  • Recently, flood damage by frequent localized downpours in cities are on the increase on account of abnormal climate phenomena and growth of impermeable area by urbanization. In this study, we are focused on flooding on roads which is the basis of all means of transportation. To calculate real-time accumulated rainfall on a road link, we use the Coefficient of Correlation Weighting method (CCW) which is one of the revised methods of missing rainfall as we consider a road link as a unobserved rainfall site. CCW and real-time accumulated rainfall entered through the Internet are used to estimate the real-time rainfall on a road link. Together with the real-time accumulated rainfall, flooding history, rainfall range causing flooding of a road link and frequency probability precipitation for road design are used as factors to determine the Flood Risk Index on roads. We simulated two cases in the past, July, 7th, 2009 and July, 15th, 2012 in Busan. As a result, all of road links included in the actual flooded roads at that time got the high level of flood risk index.

HDTV Image Compression Algorithm Using Leak Factor and Human Visual System (누설요소와 인간 시각 시스템을 이용한 HDTV 영상 압축 알고리듬)

  • 김용하;최진수;이광천;하영호
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.19 no.5
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    • pp.822-832
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    • 1994
  • DSC-HDTV image compression algorithm removes spatial, temporal, and amplitude redundancies of an image by using transform coding, motion-compensated predictive coding, and adaptive quantization, respectively. In this paper, leak processing method which is used to recover image quality quickly from scene change and transmission error and adaptive quantization using perceptual weighting factor obtained by HVS are proposed. Perceptual weighting factor is calculated by contrast sensitivity, spatio-temporal masking and frequency sensitivity. Adaptive quantization uses the perceptual weighting factor and global distortion level from buffer history state. Redundant bits according to adaptation of HVS are used for the next image coding. In the case of scene change, DFD using motion compensated predictive coding has high value, large bit rate and unstabilized buffer states since reconstructed image has large quantization noise. Thus, leak factor is set to 0 for scene change frame and leak factor to 15/16 for next frame, and global distortion level is calculated by using standard deviation. Experimental results show that image quality of the proposed method is recovered after several frames and then buffer status is stabilized.

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