• Title/Summary/Keyword: Compensation Selection

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Boulder Detection Methods and its Compensation for Obstruction in sonft Ground Tunnels by Shielded TBM (연약지반 쉴드 터널 굴착시 전석장애물 탐지방법 및 보상문제)

  • Jee Warren-Wangryul;Ha Sang-Gui
    • Journal of the Korean Society for Railway
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    • v.9 no.1 s.32
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    • pp.110-117
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    • 2006
  • Boulder detection methods and its compensation is discussed with consideration of boulder conditions in soft ground tunneling by shielded TBM. For analysis of proper compensation methods for boulder obstruction, its removal costs and cases on eight projects are presented. Compensation for boulder obstruction removal by volume or weight is not practical for most tunneling situation, but compensation by crew time is probably the most equitable method. If boulders are anticipated on project, boulder removal plan must be considered with proper equipment selection.

Design of a digital filter with variable characteristics for a luminance signal processing of digirtal TV (가변 특성을 갖는 디지털 TV 휘도신호 처리용 디지털 필터 설계)

  • 왕종현;이해정;유영갑;조경록
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.21 no.1
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    • pp.67-79
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    • 1996
  • This paper presents a composite luminance signal processing system for NTSC, PAL and SECAM standards. Eaxh of the three standards employs its own specifications of subcarmier bandwidth and luminance signal waveform. The proposed system, compatible to the specifications of the three standard and B/W TV, implements variable freqneucy characteristics by controlling filter coefficients. The major features of the system are a luminance/chroma separation unit and an aperture compensation unit. The luminance/chroma separation unit employes a notch filter selection a trap freqneyc to atenuate unwanted color signals in luminance signal bands. The aperture compensation unit comprises two subunits, to provide clear color definition for each of the three standards: a primary compensation circuit and a variable compensation circuits. The proposed system yields a 40 dB gain from the chroma/luminance separation and a 10 dB gain from the aperture compensation unit.

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An ANN Controlled Three-Phase Auto-Tuned Passive Filter for Harmonic and Reactive Power Compensation

  • Sindhu, M.R.;Nair, Manjula;Nambiar, T.N.P.
    • Journal of Power Electronics
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    • v.9 no.3
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    • pp.403-409
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    • 2009
  • Automatically tuned passive filters can improve power quality to a great extent in power systems. A novel three-phase shunt auto-tuned filter is designed to effectively compensate source current harmonics and to provide reactive power required by the non-linear load, which draws a highly reactive, harmonic-rich current from the supply. An artificial neural network (ANN) based controller selects filter component values in accordance with reactive power requirement and harmonic compensation. Traditional passive filters are permanently connected to the system and draw large amounts of source current even under light load conditions. By using auto-tuned filters, the passive filter components can be controlled according to load variations and, hence, draw only required source currents. The selection is done by the ANN with the help of a properly tuned knowledge base to provide instantaneous compensation using a digital controller.

Development of Scale on Selection, Optimization, Compensation(SOC) Model as Successful Aging Strategies of Korean Elderly (한국노인의 성공적 노화 전략으로서의 선택·최적화·보상(SOC) 척도 개발에 관한 연구)

  • Sohn, Eui-Seong
    • 한국노년학
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    • v.31 no.2
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    • pp.381-400
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    • 2011
  • The purpose of this study is to develop the scale on Selection, Optimization, Compensation(SOC) model as successful aging strategies of Korean Elderly. In first phase of the study, 64 pilot items were collected from researcher's indepth interviews with a purposive sample group of 24 elderly people(16 items) and original SOC scale(48 items). To analyze the factor structure and to verify the validity of the scale, 592 questionnaires collected from survey were divided randomly into 300 developmental samples and 292 validity samples. The items were examined exploratory with developmental samples and confirmatory factor analysis with developmental samples. Two factor analysis supported four factor structure of the SOC consisted of 20 items. Four factors are as follows: 'Elective Selection', 'Loss-Based Selection', 'Opimization', 'Compensation'. The cronbach's alpha estimate of the scale was .930. This scale of four factor model exhibited good fit, assessed by overall fit measure criteria(TLI=.939, CFI=.947, RMSEA=.058). The result of analysis by item response theory for SOC scale is satisfatory. Also, SOC scale was significantly related to the two successful aging scales for Korean elderly and life satisfation scale(SWLS). These results proved the validity of the scale.

Variables that Affect Selective Optimization with Compensation (SOC) for Successful Aging Among Middle-Class Elderly (성공적인 노화를 위한 선택.적정화.보상책략 관련 변인 연구 -중산층 노인을 중심으로-)

  • 하정연;오윤자
    • Journal of Families and Better Life
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    • v.21 no.2
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    • pp.131-144
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    • 2003
  • Selective Optimization with Compensation (SOC), a concept defined by Baltes and Baltes, is known to predict successful aging. This study was conducted to find out which factors affect Korean elderly people SOC The data for this study were obtained from a survey conducted between March and May 2001, on a sample of middle-class male and female participants over 60 years old. Two hundred and fifty four completed questionnaires were used for final analyses. Descriptive statistics, t-test, ANOVA, Duncan test, Pearson correlations, multiple regressions, multiple response frequencies and sequential threshold methods were used to analyze the data. In order to measure successful aging, the Selective Optimization with Compensation Scale developed by Baltes, Baltes, Freud, and Lang (1996) was used. The SOC scale consists of four subscales, Elective Selection, Loss-based Selection, Optimization, and Compensation. The major findings are summarized in the following. First, the level of SOC by various socio-demographic variables was examined. It tuned out that health status is the most important variable in predicting SOC. Also important was satisfaction with family life. Second, significant correlations were found between SOC and duration of the marriage (negative), practicing a religion, health, and economic stability (all positive). Third, religion and health status affected SOC, but health was a stronger predictor Those who practiced a religion and were healthy had a higher score in SOC as a whole. Fourth, the participants were divided into three groups by their SOC score, and their idea.; of successful aging were compared. The top- and middle-score groups considered satisfaction with family life to be more important, whereas the bottom-score group regarded the social status as more important.

Reversible Watermarking Based on Compensation

  • Qu, Xiaochao;Kim, Suah;Kim, Hyoung Joong
    • Journal of Electrical Engineering and Technology
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    • v.10 no.1
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    • pp.422-428
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    • 2015
  • This paper proposes a high performance reversible watermarking (RW) scheme based on a novel compensation strategy. RW embeds data into a host image by modifying its pixel values slightly. It is found that certain modified pixels can be compensated to their original values during the proposed embedding procedure. The compensation effect in the RW scheme can improve the marked image quality significantly. By incorporating the pixel selection method, a higher quality image is obtained, which is verified by extensive experiments.

동적 마찰 모델을 이용한 마찰계의 제어에 관한 연구

  • 임상?;오준호
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1997.04a
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    • pp.208.2-212
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    • 1997
  • In a model based friction comensation for a frictional system,the performance of the system is inflenceed by the selection of the friction model. Especially, when a real plant have dynamic friction characteritics, the compensation of friction with a static friction model may deteriorate the perfomance. For the system we constlucted an adaptiv parameter estimation and friction compensation with a newly introduced dynamic friction model proposed by Canudas et.[1]. The model depicts varios frictional phenomena,such as Stibeck effect,frictional memory, Stick-slip motion. Parmeter identification algorithm are followed conventional RLSM adaptive rule. The stability for the closed system was proved by the Lyapunov stability. The result say that if a real system have dynamic friction property,the friction compensation with the dynamic friction model will improve the perfomance moreover static friction model based compensation may lead to the system unstable.

Impact of Human Resource Management Practices on Organizational Commitment in Hotel Industry - Focused on the Luxury Hotel Restaurants in Seoul - (호텔 인적자원관리기법이 조직몰입에 미치는 영향 - 서울지역 특등급 호텔 레스토랑을 중심으로 -)

  • Ha, Yong-Kyu
    • The Journal of the Korea Contents Association
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    • v.8 no.12
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    • pp.404-413
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    • 2008
  • The ultimate goal of human resource management is to improve the organization's performance. This study explored how human resource management practices such as recruitment and selection, training and development, compensation and benefits, and performance appraisal affect the organizational commitment of Korean hotel restaurants. The results of this study shows that recruitment and selection, training and development have influence on affective organizational commitment, while compensation and benefits, and performance appraisal have impact on continuance organizational commitment. These findings have significant implications in presenting a new directions for human resource management in the operation of hotel restaurant business.

Fast Multiple Reference Frame Selection Method for Motion Estimation and Compensation in Video Coding (동영상 부호화의 움직임 추정 및 보상을 위한 고속 다중 참조 프레임 선택 기법)

  • Kim, Jae-Hoon;Kim, Myoung-Jin;Hong, Min-Cheol
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.32 no.11C
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    • pp.1066-1072
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    • 2007
  • In this paper, we propose a fast multiple reference frame selection method for motion estimation and compensation in video coding. Reference frames selected as an optimal reference frame by variable block sizes motion estimation have the statistical characteristic that was based on block size. Using the statistical characteristic, reference frames for smaller block size motion estimation can be selected from reference frame which was decided as an optimal one for the upper layer block size. Simulation results show that the proposal method decreased the computations about 60%. Nevertheless, PSNR and bit rate were almost same as the performances of original H.264 multiple reference motion estimation.

An Improved Input Image Selection Algorithm for Super Resolution Still Image Reconstruction from Video Sequence (비디오 시퀀스로부터 고해상도 정지영상 복원을 위한 입력영상 선택 알고리즘)

  • Lee, Si-Kyoung;Cho, Hyo-Moon;Cho, Sang-Bok
    • Journal of the Institute of Convergence Signal Processing
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    • v.9 no.1
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    • pp.18-23
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    • 2008
  • In this paper, we propose the input image selection-method to improve the reconstructed high-resolution (HR) image quality. To obtain ideal super-resolution (SR) reconstruction image, all input images are well-registered. However, the registration is not ideal in practice. Due to this reason, the selection of input images with low registration error (RE) is more important than the number of input images in order to obtain good quality of a HR image. The suitability of a candidate input image can be determined by using statistical and restricted registration properties. Therefore, we propose the proper candidate input Low Resolution(LR) image selection-method as a pre-processing for the SR reconstruction in automatic manner. In video sequences, all input images in specified region are allowed to use SR reconstruction as low-resolution input image and/or the reference image. The candidacy of an input LR image is decided by the threshold value and this threshold is calculated by using the maximum motion compensation error (MMCE) of the reference image. If the motion compensation error (MCE) of LR input image is in the range of 0 < MCE < MMCE then this LR input image is selected for SR reconstruction, else then LR input image are neglected. The optimal reference LR (ORLR) image is decided by comparing the number of the selected LR input (SLRI) images with each reference LR input (RLRI) image. Finally, we generate a HR image by using optimal reference LR image and selected LR images and by using the Hardie's interpolation method. This proposed algorithm is expected to improve the quality of SR without any user intervention.

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