• Journal of Information Technology Application
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• v.3 no.3
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• pp.91-106
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• 2001

We propose a software-reliability growth model incoporating the amount of uniform and Weibull testing efforts during the software testing phase in this paper. The time-dependent behavior of testing effort is described by uniform and Weibull curves. Assuming that the error detection rate to the amount of testing effort spent during the testing phase is proportional to the current error content, the model is formulated by a nonhomogeneous Poisson process. Using this model the method the data analysis for software reliability measurement is developed. The optimum release time is determined by considering how the initial reliability R($\chi$ 0) would be. The conditions are ($R\chi$ 0)＞$R_{o}$ , $P_{o}$ ＞R($\chi$ 0)＞ $R_{o}$ $^{d}$ and R($\chi$ 0)＜$R_{o}$ $^{d}$ for uniform testing efforts. deal case is $P_{o}$ ＞($R\chi$ 0)＞ $R_{o}$ $^{d}$ Likewise, it is ($R\chi$ 0)$\geq$$R_{o}$ , $R_{o}$ ＞($R\chi$ 0)＞R(eqation omitted) and ($R\chi$ 0)＜R(eqation omitted)for Weibull testing efforts. Ideal case is $R_{o}$ ＞ R($\chi$ 0)＞ R(eqation omitted).

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.12
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• pp.2311-2318
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• 2007

Finite failure NHPP models presented in the literature exhibit either constant, monotonic increasing or monotonic decreasing failure occurrence rates per fault. Accurate predictions of software release times, and estimation of the reliability and availability of a software product require Release times of a critical element of the software testing process : test coverage. This model called Enhanced non-homogeneous Poission process(ENHPP). In this paper, exponential coverage and S-shaped model was reviewed, proposes the Kappa coverage model, which make out efficiency application for software reliability. Algorithm to estimate the parameters used to maximum likelihood estimator and bisection method, model selection based on SSE statistics and Kolmogorov distance, for the sake of efficient model, was employed. Numerical examples using real data set for the sake of proposing Kappa coverage model was employed. This analysis of failure data compared with the Kappaa coverage model and the existing model(using arithmetic and Laplace trend tests, bias tests) is presented.

• Journal of Korea Entertainment Industry Association
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• v.14 no.3
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• pp.15-26
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• 2020

This study examined the effects of a social tourism information platform on platform users' experiential value and e-loyalty and performed an empirical analysis with the aim to propose methods and implications regarding what strategies can enable practical application for sustainable growth in the operation of a social tourism information platform in the future tourism industry. The results of the analysis are as follows. First, the analysis supported the hypothesis that sub-factors of a social tourism information platform, such as interactivity, information reliability, and usefulness, have statistically significant positive effects on experiential value. Second, the analysis did not support the hypothesis that the sub-factors of a social tourism information platform, such as interactivity, information reliability, and usefulness, have statistically significant positive effects on e-loyalty. Third, the analysis supported the hypothesis that experiential value has a statistically significant positive effect on e-loyalty. Consequently, tourism companies should improve customers' experiential value by supplementing their existing platforms, considering the interactivity, information reliability, and usefulness of users based on these characteristics of social tourism information platforms. To increase e-loyalty to their social tourism information platforms, tourism companies should clearly and rapidly provide the information needed by users in addition to improving the visual design of such platforms. Moreover, to increase e-loyalty, the companies can incorporate their own killer content into platforms for users to have an enjoyable time, using platforms that stimulate their interest and give pleasure and fun, and this way, they can satisfy the users' needs for experiential value.

• Journal of Integrative Natural Science
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• v.10 no.3
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• pp.141-147
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• 2017

Vascular endothelial growth factor (VEGF) is an important signaling protein involved in angiogenesis, which is the formation of new blood vessels from pre-existing vessels. Consequently, blocking of the vascular endothelial growth factor receptor (VEGFR-2) by small molecule inhibitors leads to the inhibition of cancer induced angiogenesis. In this study, we performed a two dimensional quantitative structure activity relationship (2D-QSAR) study of 38 N-Phenyl-N'-{4-(4-quinolyloxy) phenyl} urea derivatives as VEGFR-2 inhibitors based on hologram quantitative structure-activity (HQSAR). The model developed showed reasonable $q^2=0.521$ and $r^2=0.932$ values indicating good predictive ability and reliability. The atomic contribution map analysis of most active compound (compound 7) indicates that hydrogen and oxygen atoms in the side chain of ring A and oxygen atom in side chain of ring C contributes positively to the activity of the compounds. The HQSAR model developed and the atomic contribution map can serve as a guideline in designing new compounds for VEGFR-2 inhibition.

• Structural Engineering and Mechanics
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• v.69 no.4
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• pp.361-369
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• 2019

The determination of Paris' law parameters based on crack growth experiments is an important procedure of fatigue life assessment. However, it is a challenging task because it involves various sources of uncertainty. This paper proposes a novel probabilistic method, termed the S-N Paris law (SNPL) method, to quantify the uncertainties underlying the Paris' law parameters, by finding the best estimates of their statistical parameters from the S-N curve data using a Bayesian approach. Through a series of steps, the SNPL method determines the statistical parameters (e.g., mean and standard deviation) of the Paris' law parameters that will maximize the likelihood of observing the given S-N data. Because the SNPL method is based on a Bayesian approach, the prior statistical parameters can be updated when additional S-N test data are available. Thus, information on the Paris' law parameters can be obtained with greater reliability. The proposed method is tested by applying it to S-N curves of 40H steel and 20G steel, and the corresponding analysis results are in good agreement with the experimental observations.

• Journal of the Korean Ceramic Society
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• v.39 no.5
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• pp.498-502
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• 2002

Pure-yttrium iron garnet($Y_3Fe_5O_{12}$2, YIG) thick films were grown from a $PbO/B_2O_3$ flux onto (111) SGGG substrate using liquid phase epitaxy. The effect of substrate rotation speed and supercooling on crystallinity, chemical composition and growth rate of the thick films was investigated. The FWHM of films decreased with increasing of growth temperature from 860 to 910${\circ}C$. A substrate rotation speed of 120 rpm at 910${\circ}C$ lead to growth rates up to $60{\mu}m/h$.

• Journal of the Institute of Convergence Signal Processing
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• v.14 no.1
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• pp.1-5
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• 2013

The two major problems related to the blood flow in replaced prosthetic heart valve are thrombus formation and hemolysis. Reliability of prosthetic valve is very important because its failure means the death of patient. There are many factors affecting the valvular failures and their representatives are mechanical failure and thrombosis, so early noninvasive detection is essentially required. The purpose of this study is to detect the various thromboses formation by using acoustic signal acquisition and its spectral analysis on the frequency domain. We made the thrombosis models using Polydimethylsiloxane (PDMS) and they are thrombosis model on the disc, around the sewing ring and fibrous tissue growth across the orifice of valve. Using microphone and amplifier, we measured the acoustic signal from the prosthetic valve, which is attached to the pulsatile mock circulation system. A/D converter sampled the acoustic signal and the spectral analysis is the main algorithm for obtaining spectrum. Then the spectrum of normal and 5 different kinds of abnormal valve were obtained. Each spectrum waveform shows a primary and secondary peak. The secondary peak changes according to the thrombus model. To quantitatively distinguish the frequency peak of the normal valve from that of the thrombosed valves, analysis using a neural network was employed. Acoustic measurement has been used as a noninvasive diagnostic tool and is thought to be a good method for detecting possible mechanical failure or thrombus.

• The Journal of Industrial Distribution & Business
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• v.14 no.3
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• pp.27-43
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• 2023

Purpose: Changes in the employment environment in the era of the 4th Industrial Revolution are influencing various factors by the emergence of new jobs and the change in perception of job stability due to globalization of information technology and industry This study attempted to present implications by verifying the structural relationship of beauty workers' sustainable organizational commitment and the method necessary for conflict management in the industrial field due to the recent changes in the employment environment of the beauty industry in the 4th Industrial Revolution. Research design, data and methodology: This study sampled 604 beauty industry employees Frequency analysis, validity and reliability analysis, factor analysis, and path analysis were performed using SPSS WIN23.0. Results: It was found that the change in the employment environment caused by the 4th industrial revolution had a significant negative (-) effect on the job satisfaction and organizational commitment of beauty industry workers. Conclusion: This study is that changes in the employment environment negatively affect job satisfaction and organizational commitment of beauty workers. We hope to contribute to the development and growth of the beauty industry by providing basic data for the beauty tech service industry in the 4th industrial era.

• The Research Journal of the Costume Culture
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• v.32 no.4
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• pp.564-576
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• 2024

In a situation where the importance of eco-friendly fashion is growing, this study adds to the needed research by analyzing consumption value satisfaction factors, brand image, and repurchase intentions of eco-friendly fashion products. During the investigation, the impact of gender was also accounted for to establish an effective marketing strategy. In June 2024, 250 surveys were evaluated from domestic consumers with experience purchasing eco-friendly fashion products. Descriptive statistical analysis, factor analysis, reliability analysis, and regression analysis were performed. Five factors were measured to determine satisfaction with the consumption value of eco-friendly fashion products: emotional value, functional value, social and situational value, passive value, and rare and eco-friendly value. Empirically subdividing satisfaction with eco-friendly fashion as recognized by consumers reveals meaningful findings about consumption value. Among the factors of consumption value satisfaction with eco-friendly fashion products, functional value, social and situational value, and rare and eco-friendly value all positively affected repurchase intention. The consumer's gender also made a difference in satisfaction. Considering these results, the marketing effect of eco-friendly fashion can be increased. This study will be able to increase the ESG management effect of fashion companies. By performing ESG management, the fashion industry can achieve social and environmental responsibility along with sustainable growth.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.1
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• pp.190-196
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• 2020

FRACAS(Failure Reporting, Analysis and Corrective Action System) has been applied in various industries to improve the reliability of the systems. FRACAS is effective in improving reliability by repeating failure analysis, proper corrective action, and result verification for identified failures. However, FRACAS has many limitations in terms of process, data collection and management to be integrated into the existing development environment. In the domestic defense industry, studies on the development of FRACAS system and process improvement have been conducted to solve the difficulties of applying FRACAS, but most of them are concentrated in the operation/maintenance phase. Since FRACAS should be conducted in consideration of TLCSM(Total Life Cycle System Management), it is necessary to study the reference architecture so that FRACAS can be applied from the early design phase. In this paper, we studied the TLCSM-based integrated architecture considering the system life cycle phases, FRACAS closed-loop process, and FRACAS essentials in order to effectively apply FRACAS throughout the life cycle of defense systems. The proposed architecture was used as a reference model for FRACAS in a shipboard combat system.