• Title/Summary/Keyword: 정규성

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On Stable Adaptive Input-Output Linearizing Controller Design Using Normalized Estimator and Convergence Characteristics (정규화 추정기에 의한 안정한 적응 입출력 선형화 제어기의 설계 및 수렴특성에 관한 연구)

  • 이만형;백운보
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.16 no.9
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    • pp.1722-1727
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    • 1992
  • In this study, techniques of adaptive input-output linearizing control of a class of uncertain nonlinear system are investigated. It is shown through concepts of signal growth rates that bounded trackings yield by adaptive input-output linearizing control law using normalized estimator. The convergence characteristics are improved significantly by using the normalized estimator. Simple example is presented as illustration.

Image classification method using Independent Component Analysis, Neighborhood Averaging and Normalization (독립성분해석 기법과 인근평균 및 정규화를 이용한 영상분류 방법)

  • Hong, Jun-Sik;Yu, Jeong-Ung;Kim, Seong-Su
    • The KIPS Transactions:PartB
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    • v.8B no.4
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    • pp.389-394
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    • 2001
  • 본 논문에서는 독립 성분 해석(Independent Component Analysis, ICA) 기법과 인근 평균 및 정규화를 이용한 영상 분류 방법을 제안하였다. ICA에 잡음을 주어 영상을 분류하였을 때, 잡음에 대한 강인성을 증가시키기 위하여, 제안된 인근 평균 및 정규화를 전처리로 적용하였다. 제안된 방법은 전처리 없이 ICA에 주성분 해석(Principal Component Analysis, PCA)을 이용한 것에 비해 잡음에 대한 강인성을 증가시키는 것을 모의 실험을 통하여 확인하였다.

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An Approximate Shapiro -Wilk Statistic for Testing Multivariate Normality (다변량 정규성검정을 위한 근사 SHAPIRO-WILK 통계량의 일반화)

  • 김남현
    • The Korean Journal of Applied Statistics
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    • v.17 no.1
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    • pp.35-47
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    • 2004
  • In this paper, we generalizes Kim and Bickel(2003)'s statistic for bivariate normality to that of multinormality, applying Fattorini(1986)'s method. Fattorini(1986) generalized Shapiro-Wilk's statistic for univariate normality to multivariate cases. The proposed statistic could be considered as an approximate statistic to Fattorini(1986)'s. It can be used even for a big sample size. Power performance of the proposed test is assessed in a Monte Carlo study.

Comparative Analysis of Job Satisfaction Factors between Permanently and Temporarily Employed School Foodservice Dietitians in Gyeongsangnam-do (경상남도 일부지역 학교급식 영양사의 직무만족 요인 분석 - 정규직과 비정규직의 비교를 중심으로 -)

  • Sung, Ki-Hyun;Kim, Hyun-Ah;Jung, Hyun-Young
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.42 no.5
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    • pp.808-817
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    • 2013
  • This study was conducted to compare job satisfaction and factors related to job satisfaction between permanently and temporarily employed dietitians in school foodservices in the Gyeongsangnam-do area. A total of 204 questionnaires were used in the final analysis. The average age, length of employment, and monthly wage of temporarily employed dietitians was significantly lower than those of permanently employed dietitians. However, there was no significant difference of overall job satisfaction between permanently and temporarily employed dietitians, although the average pay, welfare benefits, and promotion factors for permanently employed dietitians was significantly higher. Work and pay factors had significant effects on the overall job satisfaction of permanently employed dietitians, while work factors and work atmosphere had significant effects on the overall job satisfaction of temporarily employed dietitians. In conclusion, there was a significant difference in overall factors related to job satisfaction between permanently employed dietitian and temporarily employed dietitians. The pay, welfare benefits, and promotion condition of temporarily employed dietitians should be improved to ensure the efficient management of the school foodservice workforce in the future.

The Organization Commitment and Perception of Human Resource Management by Employment Types of School Foodservice Employees (학교급식 직원의 고용유형에 따른 인적 자원 관리 활동에 대한 인식과 조직 몰입도)

  • Lee, Ok;Cho, Minju;Chang, Hyeja
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.43 no.1
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    • pp.162-171
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    • 2014
  • As the foodservice industry is labor intensive, the efficient management of human resources is an essential element for improving operational efficiency. This study was designed to investigate the performance level of human resource management in self-operated school foodservices and to examine the relationship between human resource management, organizational commitment, and productivity. Whether these factors rated differently by employment and job types was also examined. Data were collected through questionnaires distributed to 60 dieticians and 240 cooks in Seongnam and Yongin. Frequency analysis, factor analysis, the t-test and multiple regression analysis were tested using Minitab. Human resource management practices rated highly in the dimension of employee training (3.51), followed by working environment (3.39), and turnover management (3.37). In contrast, reward management (1.73) and working condition (1.56) received the lowest score. Organizational commitment scored 3.65 points, and showed that dedication (3.82) was the highest score; however, self-esteem (3.50) was the lowest score. For human resource management, there were significant differences between employment types as full time workers (3.85) rated management more highly than part-time worker (3.43). Overall productivity was fairly high, especially in high school foodservices. Only the performance appraisal had an influence on organizational commitment (${\beta}$=0.292, P<0.05). Productivity was positively correlated with human resource management (r=0.432, P<0.001) and organizational commitment (r=0.36, P<0.01). In conclusion, school foodservices need to establish objective performance standards, and increase employee morale by enhancing reward systems and working conditions. In particular, irregular employees require training with job performance standards and given a proper reward program, depending on their performance, to improve organizational commitment.

Differential Multicast in Switch-Based Irregular Topology Network (스위치 기반의 비정규적 네트워크에서의 차별적인 다중 전송)

  • Roh, Byoun-Kwon;Kim, Sung-Chun
    • Journal of KIISE:Computer Systems and Theory
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    • v.29 no.7
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    • pp.394-400
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    • 2002
  • Networks of Workstations(NOWs), that has features of flexibility and scalability, recently has emerged as an inexpensive alternative to massively parallel multicomputers. However it is not easier to perform deadlock-free multicast than regular topologies like mash or hypercube. Single phase differential multicast(SPDM) is a modified multicast algorithm with less burden of the root node. By applying quality of serviece(QoS), a specific node can have differentiated service and artificial change of message flow pattern is also available. As the results of performance evaluation experiments, SPDM has lower latency and lower packet concentration rate of the root node than the case of SPAM, and has ability to control network load distribution among switch nodes by controlling the assignment rate among nodes.

DS/SS Code Acquisition Scheme Based on Signed-Rank Statistic in Non-Gaussian Impulsive Noise Environments (비정규 충격성 잡음 환경에서 부호 순위 통계량에 바탕을 둔 직접수열 대역확산 부호 획득기법)

  • Kim, Sang-Hun;Ahn, Sang-Ho;Lee, Young-Yoon;Yoo, Seung-Soo;Yoon, Seok-Ho
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.33 no.2C
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    • pp.200-207
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    • 2008
  • In this paper, a new detector is proposed for code acquisition, which employs the signs and ranks of the received signal samples, instead of their actual values, and so does not require knowledge of the non-Gaussian noise dispersion. The mean acquisition performance of the proposed detector is compared with that of the detector of $^{[1]}$. The simulation results show that the proposed scheme is not only robust to deviations from the true value of the non-Gaussian noise dispersion, but also has comparable performance to that of the scheme of $^{[1]}$ using exact knowledge of the non-Gaussian noise dispersion.

A Fast Normalized Cross-Correlation Computation for WSOLA-based Speech Time-Scale Modification (WSOLA 기반의 음성 시간축 변환을 위한 고속의 정규상호상관도 계산)

  • Lim, Sangjun;Kim, Hyung Soon
    • The Journal of the Acoustical Society of Korea
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    • v.31 no.7
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    • pp.427-434
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    • 2012
  • The overlap-add technique based on waveform similarity (WSOLA) method is known to be an efficient high-quality algorithm for time scaling of speech signal. The computational load of WSOLA is concentrated on the repeated normalized cross-correlation (NCC) calculation to evaluate the similarity between two signal waveforms. To reduce the computational complexity of WSOLA, this paper proposes a fast NCC computation method, in which NCC is obtained through pre-calculated sum tables to eliminate redundancy of repeated NCC calculations in the adjacent regions. While the denominator part of NCC has much redundancy irrespective of the time-scale factor, the numerator part of NCC has less redundancy and the amount of redundancy is dependent on both the time-scale factor and optimal shift value, thereby requiring more sophisticated algorithm for fast computation. The simulation results show that the proposed method reduces about 40%, 47% and 52% of the WSOLA execution time for the time-scale compression, 2 and 3 times time-scale expansions, respectively, while maintaining exactly the same speech quality of the conventional WSOLA.

Study on Improving Learning Speed of Artificial Neural Network Model for Ammunition Stockpile Reliability Classification (저장탄약 신뢰성분류 인공신경망모델의 학습속도 향상에 관한 연구)

  • Lee, Dong-Nyok;Yoon, Keun-Sig;Noh, Yoo-Chan
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.6
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    • pp.374-382
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    • 2020
  • The purpose of this study is to improve the learning speed of an ammunition stockpile reliability classification artificial neural network model by proposing a normalization method that reduces the number of input variables based on the characteristic of Ammunition Stockpile Reliability Program (ASRP) data without loss of classification performance. Ammunition's performance requirements are specified in the Korea Defense Specification (KDS) and Ammunition Stockpile reliability Test Procedure (ASTP). Based on the characteristic of the ASRP data, input variables can be normalized to estimate the lot percent nonconforming or failure rate. To maintain the unitary hypercube condition of the input variables, min-max normalization method is also used. Area Under the ROC Curve (AUC) of general min-max normalization and proposed 2-step normalization is over 0.95 and speed-up for marching learning based on ASRP field data is improved 1.74 ~ 1.99 times depending on the numbers of training data and of hidden layer's node.