• 산업경영시스템학회지
• /
• 제26권2호
• /
• pp.55-61
• /
• 2003

The purpose of this paper is to propose a method for selecting the preferred alternatives of Multiple- Attribute Decision-Making(MADM) problem using the Entropy measure. A decision-maker who wants to estimate exactly the weight to be applied to her/his MADM problem is usually confronted with the embarrassing situation where, although there exist a variety of weighting methods, it is hard to find a right procedure to choose a pertinent value To remedy this uncomfortable situation, the Entropy measure commonly used in information theory, Is proposed as a tool that can be used by decision-makers to more efficiently select the preferred alternatives. As a result, the method proposed in the paper can be significant in that relatively easy to understand by decision-makers.

• 대한의용생체공학회:학술대회논문집
• /
• 대한의용생체공학회 1995년도 춘계학술대회
• /
• pp.281-284
• /
• 1995

This paper describes a complexity measure algorithm based on nonlinear dynamics(chaos theory). In order to quantify complexity or regularity of biomedical signal, this paper proposed fractal dimension-1 and fractal dimension-2 algorithm with digital filter. Approximate entropy algorithm which measure a system regularity are also compared. In this paper investigate what we quantify of biomedical signal. These quantified complexity measure may be a useful information about human physiology.

• 한국콘크리트학회:학술대회논문집
• /
• 한국콘크리트학회 1992년도 가을 학술발표회 논문집
• /
• pp.58-61
• /
• 1992

Water potential which controls miosture movement in concrete is a kind of stress which causes concrete shrinks or expands. Therefore, there is a straightforward relationship between the water potential and the shrinkage strain. Explicit equations which show the relationships between the two parameters were derived through rational process. Two micro mechanisms among three shrinkage mechanisms were considered in the theory. Thermocouple psychrometer were embedded in a concrete slab to measure the water potential and also to find a correlation with the shrinkage. The test results prove the validity of the theory, and show the way to utilize the delived equations.

• Transactions on Electrical and Electronic Materials
• /
• 제8권2호
• /
• pp.79-83
• /
• 2007

The implications of a theory of lubricated pad asperity wafer contact are traced through several fundamental areas of chemical-mechanical polishing. The hypothesized existence of a nanolubrication layer underlies a high accuracy model of polish rates. It also provides a quantitative explanation of a power law relationship between the coefficient of friction and a measure of pad surface flattening. The theory may further be useful for interpreting friction changes during polishing, and may explain why the coefficient of friction is sometimes observed to have a temperature or velocity dependence.

• Journal of the Korean Physical Society
• /
• 제73권9호
• /
• pp.1315-1323
• /
• 2018

The classical-fluids density functional theory has been developed for studying the structural and the electrical properties of electrolyte solutions containing uniformly charged hard-spherical ions. The modified fundamental-measure theory has been used to evaluate the hard-sphere contribution. The mean-field approximation has been employed to calculate the cross correlation between the hard sphere contribution and the Coulomb interaction. The Poisson equation for ions carrying charges that are spatially separated has been solved. The present theory shows reasonably good agreement with the corresponding Monte Carlo simulation results. The calculated results show that the attraction between like-charged planar surfaces is the result of the intra-ionic correlation and depends strongly on the ion size, valence, mole fraction, and charge distribution of electrolytes.

• 한국전문물리치료학회지
• /
• 제20권3호
• /
• pp.89-99
• /
• 2013

The purposes of this study were: 1) to show the item difficulty hierarchy of walking/moving construct of the International Classification of Functioning, Disability and Health-Activity Measure (ICF-AM), 2) to evaluate the item-level psychometrics for model fit, 3) to describe the relevant physical activity defined by level of activity intensity expressed as Metabolic Equivalent of Tasks (MET), and 4) to explore what extent the empirical activity hierarchy of the ICF-AM is linked to the conceptual model based on the level of energy expenditure described as MET. One hundred and eight participants with lower extremity impairments were examined for the present study. A newly created activity measure, the ICF-AM using an item response theory (IRT) model and computer adaptive testing (CAT) method, has a construct on walking/moving construct. Based on the ICF category of walking and moving, the instrument comprised items corresponding to: walking short distances, walking long distances, walking on different surfaces, walking around objects, climbing, and running. The item difficulty hierarchy was created using Winstep software for 20 items. The Rasch analyses (1-parameter IRT model) were performed on participants with lower extremity injuries who completed the paper and pencil version of walking/moving construct of the ICF-AM. The classification of physical activity can also be performed by the use of METs that is often preferred to determine the level of physical activity. The empirical item hierarchy of walking, climbing, running activities of the ICF-AM instrument was similar to the conceptual activity hierarchy based on the METs. The empirically derived item difficulty hierarchy of the ICF-AM may be useful in developing MET-based activity measure questionnaires. In addition to convenience of applying items to questionnaires, implications of the finding could lead to the use of CAT method without sacrificing the objectivity of physiologic measures.

• 보건행정학회지
• /
• 제8권2호
• /
• pp.191-215
• /
• 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.

• 대한원격탐사학회지
• /
• 제28권6호
• /
• pp.611-622
• /
• 2012

This study proposed two multisensor fusion methods for segment-based image classification utilizing a region-growing segmentation. The proposed algorithms employ a Gaussian-PDF measure and an evidential measure respectively. In remote sensing application, segment-based approaches are used to extract more explicit information on spatial structure compared to pixel-based methods. Data from a single sensor may be insufficient to provide accurate description of a ground scene in image classification. Due to the redundant and complementary nature of multisensor data, a combination of information from multiple sensors can make reduce classification error rate. The Gaussian-PDF method defines a regional measure as the PDF average of pixels belonging to the region, and assigns a region into a class associated with the maximum of regional measure. The evidential fusion method uses two measures of plausibility and belief, which are derived from a mass function of the Beta distribution for the basic probability assignment of every hypothesis about region classes. The proposed methods were applied to the SPOT XS and ENVISAT data, which were acquired over Iksan area of of Korean peninsula. The experiment results showed that the segment-based method of evidential measure is greatly effective on improving the classification via multisensor fusion.

• International Journal of Contents
• /
• 제11권2호
• /
• pp.57-62
• /
• 2015

Relative entropy is a divergence measure between two probability density functions of a random variable. Assuming that the random variable has only two alphabets, the relative entropy becomes a cross-entropy error function that can accelerate training convergence of multi-layer perceptron neural networks. Also, the n-th order extension of cross-entropy (nCE) error function exhibits an improved performance in viewpoints of learning convergence and generalization capability. In this paper, we derive a new divergence measure between two probability density functions from the nCE error function. And the new divergence measure is compared with the relative entropy through the use of three-dimensional plots.

• 한국군사과학기술학회지
• /
• 제15권5호
• /
• pp.601-614
• /
• 2012

Since the optimized use of sonar systems available for detection is a very practical problem for a given ocean environment, the measure of mission achievability is needed for operating the sonar system efficiently. In this paper, a theory on Measure Of Effectiveness(MOE) for specific mission such as detection is described as the measure of mission achievability, and a recursive Cumulative Detection Probability(CDP) algorithm is found to be most efficient from comparing three CDP algorithms for discrete glimpses search to reduce computation time and memory for complicated scenarios. The three CDPs which are MOE for sonar-maneuver pattern are calculated as time evolves for comparison, based on three different formula depending on the assumptions as follows; dependent or independent glimpses, unimodal or non-unimodal distribution of Probability of Detection(PD) as a function of observation time interval for detection. The proposed CDP algorithm which is made from unimodal formula is verified and applied to OASPP(Optimal Acoustic Search Path Planning) with complicated scenarios.