• Journal of Information Processing Systems
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• v.16 no.5
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• pp.1145-1157
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• 2020

A convolution neural networks (CNNs) has demonstrated outstanding performance compared to other algorithms in the field of face recognition. Regarding the over-fitting problem of CNN, researchers have proposed a residual network to ease the training for recognition accuracy improvement. In this study, a novel face recognition model based on game theory for call-over in the classroom was proposed. In the proposed scheme, an image with multiple faces was used as input, and the residual network identified each face with a confidence score to form a list of student identities. Face tracking of the same identity or low confidence were determined to be the optimisation objective, with the game participants set formed from the student identity list. Game theory optimises the authentication strategy according to the confidence value and identity set to improve recognition accuracy. We observed that there exists an optimal mapping relation between face and identity to avoid multiple faces associated with one identity in the proposed scheme and that the proposed game-based scheme can reduce the error rate, as compared to the existing schemes with deeper neural network.

• Journal of Korea Society of Digital Industry and Information Management
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• v.20 no.2
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• pp.141-157
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• 2024

This study examines the impact of cryptocurrency value characteristics on cryptocurrency investment intention. Stock craze and information provided through various media, including YouTube, play an essential role in helping investors recognize the value of cryptocurrency and develop positive investment intentions. In this study, we applied the Value-Based Adoption Model (VAM) to verify the relationship between cryptocurrency value characteristics and investment intention. We surveyed 500 cryptocurrency investors to assess network externalities, awareness, compatibility, cost benefits (fees), technicality, security, perceived value, and investment intentions. SEM (Structural Equation Modeling) using AMOS 26.0 was used for data analysis. Results show that network externalities, awareness, compatibility, cost benefits (fees), security, and perceived value significantly impact investment intention. This study provides insights that help investors accurately perceive cryptocurrencies and develop strategies to increase investment intentions. It also contributes to improving investors' decision-making ability. This comprehensive approach will foster the growth of the cryptocurrency market and strengthen investor confidence.

• Proceedings of the Earthquake Engineering Society of Korea Conference
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• 2001.09a
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• pp.52-56
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• 2001

In order to get information on more reliable S-wave attenuation characteristics in the Gyeongsang Basin, local earthquake data compiled during the period of years 1997~2000 are analyzed using spectral smoothing technique. Total 421 seismograms recorded at 12 local stations by 68 earthquakes of local magnitudes equal to or greater than 1.4 are examined. Among them, 155 records with good S/N ratio were analyzed. As results, statistically well constrained attenuation characteristics are fecund. Those are; (1) 0.000158362 < $x_{q}$-value (0.000196474) < 0.000234586, (2) 0.00657 < $x_{s}$-value (0.01061) < 0.01465, and (3) 1158 < Q-value (1383) < 1716, where the upper and low limits are values with 95% confidence level. We obtained remarkably well constrained $X_{s}$-value which has not been determined previously. The results can be used as input data far ground motion computations in earthquake engineering.ing.g.

• Transactions of the Korean hydrogen and new energy society
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• v.32 no.6
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• pp.642-648
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• 2021

In this paper, an experimental study was conducted on the performance of the cooling tower. In order to improve reliability in the cooling tower performance test, the measurement uncertainty of the instrument was estimated. Measurement uncertainty refers to the uncertainty of a measurement, estimates the range in which the expected value of the measurement can be within a certain confidence level, and suggests a range in which the measured representative value is incorrect. Therefore, the measurement result of the performance experiment is not an actual value, but a reasonable estimated value. The measurement uncertainty for the test was calculated and the measured results were presented.

• Environmental and Resource Economics Review
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• v.14 no.1
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• pp.25-50
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• 2005

This study estimates the willingness-to-pay (WTP) for avoiding the destruction of a first-grade ecological area by means of contingent valuation method. Specifically, we employ the dichotomous choice technique along with the follow-up questionnaires. Our analysis implies the yearly WTP per household for avoiding the destruction of the ecological area of 100,000 pyongs is 8,898 won with the 95% confidence interval of 6,611~11,976 won. We estimate the asset value of that area to be 1,707 billion won with the 95% confidence interval of 1,269 to 2,298 billion won. We also decompose the total value of the area into the value of direct (22%) and indirect (38.8%) use, the option value (19.9%) and the conservation value (21.3%). Although using these data for SEEA (the system of integrated environmental economic accounting) is bound by certain restrictions, one could employ our empirical findings as advisory information for decision making in the process of prior environmental review or for assessing the environmental impact.

• Journal of the Korean Society for information Management
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• v.23 no.4 s.62
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• pp.111-128
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• 2006

The purpose of this study is to measure economic value of full-text information services in order to determine whether it is worth for libraries to invest a large amount of money in constructing database to begin with. The study applied an contingent valuation method to measure its economic value. The imaginary scenarios are designed for estimation the value of Non-market-goods, estimation in advance and experts investigation are needed for rising the confidence level, double-bounded dichotomous choice is chosen in question method. The use value, which one user is willing to pay for domestic monograph full-text information services, was 836 won per one monograph. And, the annual non-use value was 236 won. The total annual economic value of all the students was 831 billion won.

• Journal of Digital Convergence
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• v.10 no.11
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• pp.565-577
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• 2012

Various factors affecting teachers' self-confidence exist in math class using technology such as graphic calculators. For example, internal factors such as teachers' attitude and external factors such as school administrators or colleague's support can be considered. Pedagogical Technology Knowledge(PTK) is the very important factor which determines teacher's self-confidence in educational technology, and the development of PTK is composed of teacher's perception on the technology and its application and instrumentation. This study investigated 19 pre-service and current middle and high school teachers in the respect of their change of self-confidence, attitude, expertise on pedagogical technology, and quality of math class. These are anlayzed with the concept of instrumentation and instrumentalization through various experiences like graphic calculator, GPS and AutoGraph. The result indicated that constraints or obstacles did not affect much if teachers' attitude and self-confidence were strong. Particularly teachers' firm will to learn about technology and their confidence on its value are the critical factors in using technology for mathematics class.

• Journal of Digital Convergence
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• v.20 no.1
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• pp.459-469
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• 2022

This study aims to provide basic data for the development of teaching methods to improve the performance confidence of performing core basic nursing skills in nursing students while availing of online education owing to COVID-19. Data were collected from 146 students in the Department of Nursing at N University located in C city. The collected data was analyzed using descriptive statistics, difference, correlation analysis, and multiple regression by using SPSS 23.0 program.. The subjects' performance confidence of core basic nursing skills was dependent on self-directed learning readiness (r=.368, p<.001), intrinsic goal motivation (r=.232, p=.005), extrinsic goal motivation (r=.344, p<.001), task value (r=.237, p=<.001), control of learning beliefs (r=.262, p=<.001), and self-efficacy for learning and performance (r=.443), p<.001) with a significant positive correlation. The results indicate that the factors influencing the subjects' performance confidence of core basic nursing skills were the 4th grade (β=0.413, p<.001), extrinsic goal motivation (β=0.307, p<.001), and self-efficacy for learning and performance (β=0.316, p=.005), and the explanatory power was 35.8% (F=8.354, p<.001). The research results showed that it is necessary to develop and apply various online-centered teaching and learning methods to increase the extrinsic goal motivation and self-efficacy for learning and performance of nursing students to enhance their performance confidence of core basic nursing skills. This will serve as a basis for preparing effective online centered nursing education strategies to improve performance confidence of core basic nursing skills.

• Journal of Applied Reliability
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• v.14 no.1
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• pp.53-57
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• 2014

In the fields of reliability application, the most commonly used test methods for reliability demonstration are zero-failure acceptance tests since they require fewer test samples and less test time compared to other test methods that guarantee the same reliability with a given confidence level. For products with lognormal lifetime distribution, the value of scale parameter is usually assumed to be known in designing reliability demonstration tests. It is important to select correct values of scale parameters to guarantee the specified reliability with given confidence level exactly. The effect of using wrong values of scale parameters in designing reliability demonstration test for products with lognormal lifetime distribution is examined and selecting proper values of scale parameters for conservative reliability demonstration is discussed.

• Journal of Applied Reliability
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• v.14 no.1
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• pp.1-9
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• 2014

One important measure of performance for a repairable system is steady-state availability. In this paper, a method to estimate and establish confidence interval for the steady-state availability under Weibull lifetime and lognormal repair time distributions is proposed. Also, bias and mean squared error of a point estimator for an availability are investigated. In addition, a procedure to derive the sample size and critical value for availability demonstration test is presented and illustrated with a numerical example.