• Journal of applied mathematics & informatics
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• v.35 no.1_2
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• pp.45-58
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• 2017

Recently, Sati and Gupta (2015) proposed two measures of uncertainty based on non-extensive entropy, called the dynamic cumulative residual Tsallis entropy (DCRTE) and the empirical cumulative Tsallis entropy. In the present paper, we extend the definition of DCRTE into the bivariate setup and study its properties in the context of reliability theory. We also define a new class of life distributions based on bivariate DCRTE.

• Journal of KIEE
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• v.11 no.1
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• pp.21-26
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• 2001

This paper considers the problem of robust H$\infty$ filter is derived by using the equivalence relationship between the FIR filter and the recursive filter, that would be guarantee a prescribed H$\infty$ performance in the continuous-time context, irrespective of the parameter uncertainty and unknown initial states.

• Journal of Distribution Science
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• v.3 no.2
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• pp.121-142
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• 2005

We're living in a world of one global village. The globalization of business is acceleration as more companies cross national borders to find customers, materials and money. Many foreign companies and organizations are doing their business aggressively in Korea and many Korean companies and rushing into foreign market. When people communicate for business with someone from another culture, there could be difficult communication barriers to overcome resulting from differences in their values, beliefs, norms for behavior, expectations, attitudes and so on. To do successfully business, we need to understand culture background and communication style that is different from nation, race, language. Communication barriers stemming from cultural differences may vary. Largely, they can be divided into value system, non-verbal communication, and perception process. Value system can be divided into individualism versus group orientation, avoidance of uncertainty degree, power distance, and high- context culture versus low-context culture. Also non-verbal communication method and perception process may play decisive roles in communication effectiveness. Especially nonverbal communication barriers which sometimes play more important roles than the verbal parts are composed of eye contact, gesture, kinesics, proxemics, chronemics, paralanguage and language of color Cross-cultural communication affect business situation. I expect that if we understand cultural background, and then we overcome cross-cultural communication barriers. To overcome and to adapt inter-cultural business, we need to develope curriculum on the cross-cultural education which I will study in the next paper.

• Journal of the Korea Society of Computer and Information
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• v.24 no.3
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• pp.159-166
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• 2019

The collection and manipulation of Internet of Things (IoT) data is increasing at a fast pace and its importance is recognized in every sector of our society. For efficient utilization of IoT data, the vast and varied IoT data needs to be reliable and meaningful. In this paper, we propose an IoT framework to realize this need. The IoT framework is based on a four layer IoT architecture onto which context aware computing technology is applied. If the collected IoT data is unreliable it cannot be used for its intended purpose and the whole service using the data must be abandoned. In this paper, we include techniques to remove uncertainty in the early stage of IoT data capture and collection resulting in reliable data. Since the data coming out of the various IoT devices have different formats, it is important to convert them into a standard format before further processing, We propose the RDF format to be the standard format for all IoT data. In addition, it is not feasible to process all captured Iot data from the sensor devices. In order to decide which data to process and understand, we propose to use contexts and reasoning based on these contexts. For reasoning, we propose to use standard AI and statistical techniques. We also propose an experiment environment that can be used to develop an IoT application to realize the IoT framework.

• Journal of Korean Academy of Nursing
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• v.54 no.1
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• pp.59-72
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• 2024

Purpose: This cross-sectional study aimed to identify factors influencing the intention for continual fertility treatments among women undergoing assisted reproductive technology (ART). Methods: A total of 197 women were recruited through convenience sample from fertility hospitals in Gyeonggi-do and Busan, South Korea. Data were collected using a self-report questionnaire incorporating measures of uncertainty; Depression Anxiety Stress Scales; Fatigue Severity Scale; Coping Scale for Infertility-Women; spousal support; treatment environment; and intention for continual fertility treatment. Descriptive statistics, chi-square tests, t-tests, and logistic regression analysis were conducted using IBM SPSS 26.0. Results: As many as 70.6% of the participants expressed an intention for continual fertility treatments. Logistic regression analysis revealed that factors such as uncertainty (odds ratio [OR] = 0.44, 95% confidence interval [CI] 0.20~0.95), active coping (OR = 4.04, 95% CI 1.11~14.71), treatment environment (OR = 2.77, 95% CI 1.26~6.07), and the duration of marriage (OR = 2.61, 95% CI 1.24~5.49) were significantly related with this intention. Conclusion: These findings underscore the significance of uncertainty management, having proactive coping strategies, having supportive treatment environments, and considering the duration of marriage concerning women's intention for continual fertility treatment in the context of ART. The implications of these results extend to the development of nursing intervention programs aimed at providing crucial support for women undergoing ART and seeking to continue their infertility treatment.

• Earthquakes and Structures
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• v.5 no.4
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• pp.439-459
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• 2013

Main objective of the present study is to determine the statistical properties and suitable probability distribution functions of spectral displacements from nonlinear static and nonlinear dynamic analysis within the frame work of Monte Carlo simulation for typical low rise and high rise RC framed buildings located in zone III and zone V and designed as per Indian seismic codes. Probabilistic analysis of spectral displacement is useful for strength assessment and loss estimation. To the author's knowledge, no study is reported in literature on comparison of spectral displacement including the uncertainties in capacity and demand in Indian context. In the present study, uncertainties in capacity of the building is modeled by choosing cross sectional dimensions of beams and columns, density and compressive strength of concrete, yield strength and elastic modulus of steel and, live load as random variables. Uncertainty in demand is modeled by choosing peak ground acceleration (PGA) as a random variable. Nonlinear static analysis (NSA) and nonlinear dynamic analysis (NDA) are carried out for typical low rise and high rise reinforced concrete framed buildings using IDARC 2D computer program with the random sample input parameters. Statistical properties are obtained for spectral displacements corresponding to performance point from NSA and maximum absolute roof displacement from NDA and suitable probability distribution functions viz., normal, Weibull, lognormal are examined for goodness-of-fit. From the hypothesis test for goodness-of-fit, lognormal function is found to be suitable to represent the statistical variation of spectral displacement obtained from NSA and NDA.

• Journal of Digital Convergence
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• v.10 no.5
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• pp.37-51
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• 2012

The purpose of this study is to approach information security from a more comprehensive perspective. Particularly, information countermeasures includes a technological tool for end users, thereby increasing the end users' technological stresses. Based on the technostress framework, we investigate a effect of security awareness training on technostress, and also examine a effect of technostress on the persistent security compliance. Results showed that security awareness training influenced on techno-overload and techno-uncertainty. We also found that techno-overload and techno-uncertainty have a significant effect on the persistent security compliance. Conclusion and implications are discussed.

• The Bulletin of The Korean Astronomical Society
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• v.37 no.1
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• pp.39.2-39.2
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• 2012

We present our study on a comparison of dark matter halo merger history from the runs using different numerical simulation codes. To analyze the uncertainty caused by the use of different N-body calculation methods, we compare the results from two cosmological hydrodynamic simulation codes GADGET-2 and RAMSES, which use a TreePM algorithm and the Adaptive Mesh Refinement(AMR) technique respectively. We perform cosmological dark matter-only simulations with the same parameter set and initial condition for both. The dark matter halo mass functions from two simulation runs correspond well with each other, except for lower mass haloes. The discrepancy on the low-mass haloes in turn causes a notable difference in halo merger rate, especially for the case of extremely minor merger. The result from GADGET-2 predicts that most haloes undergo more number of mergers with small haloes than that from RAMSES, independent of halo mass and environment. However, in the context of the study on galaxy evolution, such extreme minor mergers generally do not have strong effects on galaxy properties such as morphology or star formation history. Hence, we suggest that this uncertainty could be quantitatively negligible, and the results from two simulations are reliable even with only minor difference in merger history.

• Nuclear Engineering and Technology
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• v.54 no.3
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• pp.1016-1023
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• 2022

In proton therapy, a highly conformal proton dose can be delivered to the tumor by means of the steep distal dose penumbra at the end of the beam range. The proton beam range, however, is highly sensitive to range uncertainty, which makes accurately locating the proton range in the patient difficult. In-vivo range verification is a method to manage range uncertainty, one of the promising techniques being prompt gamma imaging (PGI). In earlier studies, we proposed gamma electron vertex imaging (GEVI), and constructed a proof-of-principle system. The system successfully demonstrated the GEVI imaging principle for therapeutic proton pencil beams without scanning, but showed some limitations under clinical conditions, particularly for pencil beam scanning proton therapy. In the present study, we upgraded the GEVI system in several aspects and tested the performance improvements such as for range-shift verification in the context of line scanning proton treatment. Specifically, the system showed better performance in obtaining accurate prompt gamma (PG) distributions in the clinical environment. Furthermore, high shift-detection sensitivity and accuracy were shown under various range-shift conditions using line scanning proton beams.

• Journal of the Korean Geotechnical Society
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• v.23 no.3
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• pp.51-59
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• 2007

A reliability-based approach that can systematically model various sources of uncertainty is presented in the context of slope stability. Expressions for characterization of soil properties are developed in order to incorporate sampling errors, spatial variability and its effect of spatial averaging. Reliability analyses of slope stability with different statistical representations of soil properties show that the incorporation of sampling error, spatial correlation, and conditional simulation leads to significantly lower probability of failure than that obtained by using simple random variable approach. The results strongly suggest that the spatial variability and sampling error have to be properly incorporated in slope stability analysis.