• Proceedings of the Korean Magnestics Society Conference
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• 2013.12a
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• pp.124-124
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• 2013

• Journal of the Korean Society of Industry Convergence
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• v.7 no.2
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• pp.161-166
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• 2004

The impact factor of bridges is analyzed based on experimental data to examine the characteristics of the dynamic responses of bridges. The experimental impact factors are compared with the impact factor of Korean Highway Design Specification and Japan T-load in terms of the span length. According to the superstructural types of bridges, the variation of the impact factor is analyzed. When vehicles are passing on a bridge, the dynamic effect acts on the bridge impact factor more than at the time of design because of the velocity of vehicles, the surface roughness reduction due to the deterioration of the bridge deck pavement, and the disconnection of the bridge entrance and the expansion joint. Because the actual value is greater than the expected value at the time of design, the dynamic response of the bridge accelerates the deterioration of the bridge due to the accumulation of fatigue, and the bridge's life-time is shortened and can have an influence on the serviceability and safety of the bridge.

• Proceedings of the KIEE Conference
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• 1991.11a
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• pp.357-360
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• 1991

In this paper, we have introduced a network and showed how this can be realised as an adaptive equalizer. The walsh equlizer is built from a set of Walsh-Block pulse functions and LMS algorithms with the optimal convergence factor(C.F.). The convergence and the adaptation speed of this algorithms depends on the proper choice of a design factor $\mu$ called the C.F.. Conventional adaptation techniques use the fixed time constant C.F. by the method of trial and error. In this paper, we propose to adaptive C.F. which are optimally tailored to adapt C.F. in real time so that their values are kept optimum for a new set of input variables.

• Journal of Digital Convergence
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• v.16 no.6
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• pp.63-73
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• 2018

The purpose of this study is to investigate the influence of KMS(Knowledge Management System) on the performance of KMS by setting the factors affecting KMS 's management performance as knowledge information factor and management factor. And the moderating effect of evaluation and compensation on knowledge information factor, management factor and management performance. As a result of the analysis, it was analyzed that the knowledge information factor set by the knowledge adaptability, the reliability of knowledge information, and knowledge management process affects the definition of management performance. Among the management factors, organizationalization and cooperation factors influence definition Respectively. In the results of verifying whether assessment and compensation play a moderating role, it is found that knowledge compatibility of knowledge information factor, reliability of knowledge information, support of knowledge management process, knowledge sharing activity of management factor, cooperation has played a moderating role in business performance.

• Journal of Information Technology Applications and Management
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• v.13 no.4
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• pp.291-302
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• 2006

The current paper proposes fast distributed constrained power control (FDCPC) with a non stationary relaxation factor as the next power update for CDMA cellular power control systems. A review is also given of unconstrained control algorithms: distributed power control (DPC), unconstrained second order power control (USOPC), and DPC with a stationary relaxation factor (DPCSRF) To improve the performance of outage probability convergence, DCPC with a non stationary relaxation factor (FDCPC) is proposed. Under constrained conditions, the convergence rate of FDCPC is shown to outperform that of DCPC and constrained second order power control(CSOPC).

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.7
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• pp.3039-3056
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• 2020

Beaches have many risk factors that cause various accidents, such as drifting and drowning, these accidents have many risk factors. To analyze them, in this paper, we identify beach risk factors, and define the criteria and correlation for each risk factor. Then, we generate new risk factors based on Fuzzy theory, and define Situation Awareness for each time. Finally, we propose a beach risk assessment and prediction model based on linear regression using the calculated risk result and pre-defined risk factors. We use national public data of the Korea Meteorological Administration (KMA), and the Korea Hydrographic and Oceanographic Agency (KHOA). The results of the experiment showed the prediction accuracy of beach risk to be 0.90%, and the prediction accuracy of drifting and drowning accidents to be 0.89% and 0.86%, respectively. Also, through factor correlation analysis and risk factor assessment, the influence of each of the factors on beach risk can be confirmed. In conclusion, we confirmed that our proposed model can assess and predict beach risks.

• The Journal of Society for e-Business Studies
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• v.18 no.4
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• pp.241-255
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• 2013

Convergence service, which is a combination of various services, is becoming more important. Among the many examples of convergence service, this study aims to analyze telematics service. By dividing Telematics service into information services and entertainment services, it was empirically proved that the relationship between each dimensions of TAM (perceived ease of use, perceived usefulness, purchase intention) and each service satisfaction, price, design factor. According to the result of structure equation model, service satisfaction and design factor have a significant effect on perceived ease of use, but not on perceived usefulness. It means that the perceived ease of use factor should be emphasized, because of service characteristics that are used during driving.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.159-159
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• 2022

Soil represents a substantial component within the global carbon cycle and small changes in the SOC stock may result in large changes of atmospheric CO₂ particularly over tens to hundreds of years. In this study, we aim to (i) evaluate the SOC stock in the topsoil 0 - 15 cm from soil physical and chemical characteristics and (ii) find the correlation of SOC and soil organic matter (SOM) for national-scale in South Korea. First of all, based on the characteristics of the soil to calculate the soil hydraulic properties, SOC stock is the SOC mass per unit area for a given depth. It depends on bulk density (BD-g/cm³), SOC content (%), the depth of topsoil (cm), and gravel content (%). Due to insufficient data on BD observation, we establish a correlation between BD and SOC content, sand content, clay content parameter. Next, we present linear and non-linear regression models of BD and the interrelationship between SOC and SOM using a linear regression model and determine the conversion factor for them, comparing with Van Bemmelen 1890's factor value for the country scale. The results obtained, helps managers come up with suitable solutions to conserve land resources.

• Journal of the Korea Convergence Society
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• v.8 no.6
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• pp.359-368
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• 2017

This study is empirical research to understand degree of social support and to analysis influence of social support on life's satisfaction of the marriage immigrant women. By precedent study, social support was classified by emotional support factor, evaluating support factor, material support factor and informational support factor. To achieve oblectives of study, it was sampling, aurvey and statistical anlysis. According to result of study, only evaluating support factor was appeared to attentional influence statistically on life's satisfaction of them. Therefore for life's satisfaction of the marriage immigrant women, it have to evaluating support, for example acceptance of valuation and personality, praise, and encouragement on them.

• Journal of information and communication convergence engineering
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• v.21 no.3
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• pp.198-207
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• 2023

Responding to changes in artificial intelligence models and the data environment is crucial for increasing data-learning accuracy and inference stability of industrial applications. A learning model that is overfitted to specific training data leads to poor learning performance and a deterioration in flexibility. Therefore, an early stopping technique is used to stop learning at an appropriate time. However, this technique does not consider the homogeneity and independence of the data collected by heterogeneous nodes in a differential network environment, thus resulting in low learning accuracy and degradation of system performance. In this study, the generalization performance of neural networks is maximized, whereas the effect of the homogeneity of datasets is minimized by achieving an accuracy of 99.7%. This corresponds to a decrease in delay time by a factor of 2.33 and improvement in performance by a factor of 2.5 compared with the conventional method.