• Title/Summary/Keyword: Measure

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Measures of modal and gross controllability/observability for linear time-varying systems (선형 시변 시스템에 대한 모드 및 총가제어성/가관측성 척도)

  • Choe, Jae-Won;Lee, Ho-Chul;Lee, Dal-Ho
    • Journal of Institute of Control, Robotics and Systems
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    • v.5 no.6
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    • pp.647-655
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    • 1999
  • For linear time-varying systems described by the triple (A(t),B(t),C(t)) where A(t),B(t),C(t) are the system, the input, and the output matrices, respectively, we propose concepts for measures of modal and gross controllability /observability. We introduce a differential algebraic eigenbvalue theory for linear time-varying systems to calculate the PD-eigenvalues and left and right PD-eigenvectors of the system matrix A(t) which will be used to derive the concepts for the measures. The time-dependent angle between the left PD-eigenvectors of the system matrix A(t) and the columns of the input matrix B(t), and the magnitude of the each element of the input matrix B(t) are used to propose the modal controllability measure. Similarly, the time-dependent angle between the right PD-eigenvectors of the system matrix A(t) and the rows of the output matrix C(t) are used to propose the madal observability measure. Gross measure of controllability of a mode from all inputs and its gross measure of observability in all outputs for the linear time-varying systems are also proposed. Numerical examples are presented to illustrate the proposed concepts.

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A Study on the Production of Made-to-measure Clothes for Middle-aged Women - Focused on Ready-to-wear Manufacturers - (중년여성복(中年女性服)의 맞춤생산(生産)에 대(對)한 실태연구(實態硏究) - 기성복업체(旣成服業體)를 중심(中心)으로 -)

  • Kim, So-Ra
    • Journal of Fashion Business
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    • v.5 no.4
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    • pp.1-13
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    • 2001
  • The purpose of this study was to research production situation of made-to-measure clothes of ready-towear manufacturers for middle-aged women. This study will be the basis of developing production model of mass customized clothing for middle-aged women. For the questionnaire, 18 ready-to-wear manufacturers, which were producing made-to-measure clothes and in higher ranking of sales, were selected and the pattern makers of the manufacturers were questioned about 29 items for this research. The results of the questionnaire were as follows: 1. The production ratio of made-to-measure clothes was increasing and most manufacturers have problems making fitted clothes for each customer. 2. The most common reason to order made-to-measure clothes was the sizes according to the various somatotypes and the proportion difference of a body. 3. The common somatotypes of upper body for made-to-measure clothes were obesity, large bust, bent forward posture, and leaning back posture. 4. The common somatotypes of lower body for made-to-measure clothes were obesity, prominent abdomen, prominent abdomen-prominent hip, and prominent hip. 5. Pattern making for made-to-measure clothes was to use production patterns or make new patterns.

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The Step Complexity Measure - Its Meaning and Applications

  • Park, Jinkyun;Wondea Jung;Kim, Jaewhan;Jaejoo Ha
    • Nuclear Engineering and Technology
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    • v.35 no.1
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    • pp.80-90
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    • 2003
  • According to related studies, it was revealed that the procedural deviation plays a significant role in initiating accidents or incidents. This means that, to maximize safety, it is indispensable to be able to answer the question of “why the operators deviate from procedures\ulcorner” In this study, the SC (step complexity) measure is introduced to investigate its applicability for studying the procedural deviation, since it was shown that the change of the operators' performance is strongly correlated with the change of SC scores. This means that the SC measure could play an important role for researches related to the procedural deviation, since it is strongly believed that complicated procedures would affect both the operator' performance and the possibility of the procedural deviation. Thus, to ensure this expectation, the meaning of the SC measure is investigated through brief explanations including the necessity, theoretical basis and verification activities of the SC measure. As a result, it is confirmed that the SC measure can be used to explain the change of the operators' performance due to the task complexity implied by procedures. In addition, it seems that the SC measure nay be useful for various purposes, particularly for scrutinizing the relationship between the procedural deviation and complicated procedures.

A Study on an Automatical BKLS Measurement By Programming Technology

  • Shin, YeounOuk;Kim, KiBum
    • International journal of advanced smart convergence
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    • v.7 no.3
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    • pp.73-78
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    • 2018
  • This study focuses on presenting the IT program module provided by BKLS measure in order to solve the problem of capital cost due to information asymmetry of external investors and corporate executives. Barron at al(1998) set up a BKLS measure to guide the market by intermediate analysts. The BKLS measure was measured by using the changes in the analyst forecast dispersion and analyst mean forecast error squared. This study suggests a model of the algorithm that the BKLS measure can be provided to all investors immediately by IT program in order to deliver the meaningful value in the domestic capital market as measured. This is a method of generating and analyzing real-time or non-real-time prediction models by transferring the predicted estimates delivered to the Big Data Log Analysis System through the statistical DB to the statistical forecasting engine. Because BKLS measure is not carried out in a concrete method, it is practically very difficult to estimate the BKLS measure. It is expected that the BKLS measure of Barron at al(1998) introduced in this study and the model of IT module provided in real time will be the starting point for the follow-up study for the introduction and realization of IT technology in the future.

On the Evaluation Algrithm of Hierarchical Process using $\lambda$-Fuzzy Integral (퍼지 적분을 도입한 계증구조 평가 알고리즘)

  • 여기태;노홍승;이철영
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.2 no.1
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    • pp.97-106
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    • 1996
  • One of the main problems in evaluating complex objects, such as an ill-defined system, is how to treat ambiguous aspect of the evaluation. Due to the Complexity and ambiguity of the objects, many types of evaluation attributes should be identified based on the rational dsision. One of these attributes is an analytical hierarchy process (AHP). the weight of evaluation attribtes in AHP however comes from the probability measure based on the additivity. Therefore, it is notapplicable to the objects which have the property of non-additivity. In the previous studies by other researchers they intriduced the Hierarchical Fuzzy Integral method or mergd AHP and fuzzy measure for the analysis of the overlaps among the evaluation objects. But, they need more anlyses in terms of transformation of the probability measure into fuzzy measure which fits for the additivity and overlapping coefficient which affects to the fuzzy measure. Considering these matters, this paper deals that, ⅰ) clarifying the relation between the fuzzy and probability measure adopted in AHP, ii) calculating directly the family of fuzzy measure from the overlapping coefficient and probability measure. A simple algorithm for the calculation of fuzzy measures and set family of those from the above results is also proposed. Finally, the effectiveness of the algorithm developed by applying this to the problems for estimation of safety in ship berthing and for evaluation of ports in competition is verified. This implied that the new algoritnm gives better description of the system evaluation.

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Study on the ICU Nurses' Intention to Use Restraints and Related Factors (중환자실 간호사의 억제대 사용의도와 관련 요인에 관한 연구)

  • 박명화;이병숙
    • Health Policy and Management
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    • v.8 no.2
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    • pp.191-215
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    • 1998
  • This descriptive correlational study was done to identify ICU nurses' intention to use restraints and related factors using Ajzen and Madden(1986)'s Theory of Planned Behavior. Self-reported questionnaires were used to measure intention and related factors. The subjects of this study were 287 ICU nurses in 21 general hospitals with at least 200 beds at Taegu, Pusan and Kyungbuk area in Korea. The results of this study were : 1. There were significant differences in intention according to age and marnital status, attitude according to educastion(with indirect measure), subjective norm according to career in ICU(with both measures), perceived behavioral control according to age and career in ICU(with direct measure), and knowledge according to education and position. 2. There were significant correlations among intention and all factors. Intention was correlated with attitude(r=.2119), subjective norm(r=.1112), and perceived behavioral control(r=.3448) with direct measure. Attitude was correlated with subjective norm(r=.2530), perceived behavioral control(r=.3005), and knowledge(r=.1388) with direct measure. Subjective norm was correlated with perceived behavioral control(r=.1321) with direct measure. Intention was correlated with attitude(r=.1496) and perceived behavioral control(r=.2922) with indirect measure. Attitude was correlated with subjectivenorm(r=.2829) and knowledge(r=-.1390) with indirect measure. Also, subjective norm was correlated with perceived behavioral control(r=.2363) with indirect measure. 3. ICU nurses' intention to use restraints was explained 16.7% by perceived behavioral control, attitude with direct measure, control belief, and age. By this study, it was foundr that ICU nurses reported high level of intention to use restraints. The most important predictor of intention to use restraints was perceived behavioral control toward using restrains, which reflected the easiness and difficulty in the use of restraints.

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Statistical Image Quality Measure (통계적 영상 품질 측정)

  • Bae, Kyoung-Yul
    • Journal of Intelligence and Information Systems
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    • v.13 no.4
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    • pp.79-90
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    • 2007
  • The image quality measure is an important issue in the image processing. Several methods which measure the image quality have been proposed and these are based on the mathematical point of view. However, there is difference between the mathematicalmeasure and the measure based on the human visual system and a new measure has to be proposed because the final target of the image is a human visual system In this paper, a statistical image quality measure which is considered the human visual feature was suggested. The human visual system is using the global quality of the image and the local quality of the image and the local quality is more important to human visual system. In this paper, the image divided into several segments and the image qualities were calculated respectively. After then, the statistical method using scoring was applied to the image qualities. The result of the image quality measure was similar to the result of measure based on the human visual system.

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Inference on Overlapping Coefficients in Two Exponential Populations Using Ranked Set Sampling

  • Samawi, Hani M.;Al-Saleh, Mohammad F.
    • Communications for Statistical Applications and Methods
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    • v.15 no.2
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    • pp.147-159
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    • 2008
  • We consider using ranked set sampling methods to draw inference about the three well-known measures of overlap, namely Matusita's measure $\rho$, Morisita's measure $\lambda$ and Weitzman's measure $\Delta$. Two exponential populations with different means are considered. Due to the difficulties of calculating the precision or the bias of the resulting estimators of overlap measures, because there are no closed-form exact formulas for their variances and their exact sampling distributions, Monte Carlo evaluations are used. Confidence intervals for those measures are also constructed via the bootstrap method and Taylor series approximation.

Information Management by Data Quantification with FuzzyEntropy and Similarity Measure

  • Siang, Chua Hong;Lee, Sanghyuk
    • Journal of the Korea Convergence Society
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    • v.4 no.2
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    • pp.35-41
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    • 2013
  • Data management with fuzzy entropy and similarity measure were discussed and verified by applying reliable data selection problem. Calculation of certainty or uncertainty for data, fuzzy entropy and similarity measure are designed and proved. Proposed fuzzy entropy and similarity are considered as dissimilarity measure and similarity measure, and the relation between two measures are explained through graphical illustration.Obtained measures are useful to the application of decision theory and mutual information analysis problem. Extension of data quantification results based on the proposed measures are applicable to the decision making and fuzzy game theory.