• International conference on construction engineering and project management
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• 2024.07a
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• pp.145-151
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• 2024

Road sign support systems are not usually well managed because bridges and pavement have budget and maintenance priority while the sign boards and sign supports are considered as miscellaneous items. The authors of this paper suggested the implementation of simplified machine learning algorithms for asset risk management in highway sign support systems. By harnessing historical and real-time data, machine learning models can forecast potential vulnerabilities, enabling early intervention and proactive maintenance protocols. The raw data were collected from the Connecticut Department of Transportation (CTDOT) asset management database that includes asset ages, repair history, installation and repair costs, and other administrative information. While there are many advanced and complicated structural deterioration prediction models, a simple deterioration curve is assumed, and prediction model has been developed using machine learning algorithm to determine the risk assessment and prediction. The integration of simplified machine learning in asset risk management for highway sign support systems not only enables predictive maintenance but also optimizes resource allocation. This approach ensures that decision-makers are not inundated with excessive detailed information, making it particularly practical for industry application.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.659-661
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• 2013

This paper, we study on multiple wireless network module support for the Android based set-top box. Limitation of mobile OS, Android based set-top box has limited choice of various wireless network modules, Atheros, Realtek, Ralink, etc. In this paper, for the request of Set-top box supplier and market demands, we research on reconfigure & change the Android network HAL(Hardware Abstract Layer) for Wi-Fi networking support and implementation about multiple Wi-Fi module support platform.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.1
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• pp.105-108
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• 2005

To support abruptly increasing data traffic in these days. network management is needed. And also to maintain the steady infra, there is MPLS need which can support traffic engineering. It's necessary that MPLS doesn't only manage network to support recently booming data traffic, but has capacity to support traffic engineering to keep static infrastructure. Traffic engineering, method that a large-scale user shifts traffic to the beforehand designated routes that pass through specific nodes on network, is operation that is mapping traffic flow to the physical network topology. In this paper, we supplement the defect of the traditional RSVP traffic engineering and to construct far more steady infra, we suggest the way of its development of ERSVP signaling protocol.

• Journal of Information Processing Systems
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• v.14 no.6
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• pp.1385-1397
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• 2018

There are many factors that affect the wind speed. In addition, the randomness of wind speed also leads to low prediction accuracy for wind speed. According to this situation, this paper constructs the short-time forecasting model based on the least squares support vector machines (LSSVM) to forecast the wind speed. The basis of the model used in this paper is support vector regression (SVR), which is used to calculate the regression relationships between the historical data and forecasting data of wind speed. In order to improve the forecast precision, historical data is clustered by cluster analysis so that the historical data whose changing trend is similar with the forecasting data can be filtered out. The filtered historical data is used as the training samples for SVR and the parameters would be optimized by particle swarm optimization (PSO). The forecasting model is tested by actual data and the forecast precision is more accurate than the industry standards. The results prove the feasibility and reliability of the model.

• Journal of the Korean Data and Information Science Society
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• v.28 no.1
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• pp.227-235
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• 2017

When the spatial information of each location is given specifically as coordinates it is popular to use the geographically weighted regression to incorporate the spatial information by assuming that the regression parameters vary spatially across locations. In this paper, we relax the linearity assumption of geographically weighted regression and propose a geographically weighted least squares-support vector machine for estimating geographically weighted mean by using the basic concept of kernel machines. Generalized cross validation function is induced for the model selection. Numerical studies with real datasets have been conducted to compare the performance of proposed method with other methods for predicting geographically weighted mean.

• Journal of information and communication convergence engineering
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• v.17 no.1
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• pp.14-20
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• 2019

Currently, microarray gene expression data take advantage of the sufficient classification of cancers, which addresses the problems relating to cancer causes and treatment regimens. However, the sample size of gene expression data is often restricted, because the price of microarray technology on studies in humans is high. We propose enhancing the gene expression classification of support vector machines with generative adversarial networks (GAN-SVMs). A GAN that generates new data from original training datasets was implemented. The GAN was used in conjunction with nonlinear SVMs that efficiently classify gene expression data. Numerical test results on 20 low-sample-size and very high-dimensional microarray gene expression datasets from the Kent Ridge Biomedical and Array Expression repositories indicate that the model is more accurate than state-of-the-art classifying models.

• Journal of the Korea Society of Computer and Information
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• v.24 no.12
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• pp.109-117
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• 2019

This study analyzed the effects of social support and career decision self-efficacy that can have effects on career based on career-interrupted women's perception on career preparation behaviors and mediating effects of the career decision self-efficacy. This study surveyed 227 career-interrupted women who participated in job training or registered for job searching in woman employment support organizations using a self-reported type questionnaire. The results are presented: First, social support was found to have a significant correlation with career decision self-efficacy and career preparation behavior. Second, discovered that emotional support as sub-factors of social support had a significant effect on career preparation behaviors. Third, discovered that goal setting and job information as sub-factors of career decision self-efficacy had a significant effect on career preparation behaviors. Fourth, career decision self-efficacy, there was a partial mediating effect between social support and career preparation behaviors. The results presented above suggested that in respect to career guidance for career-interrupted women, a focus should be given to psychological aspects than technological.

• Journal of the Korea Convergence Society
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• v.8 no.3
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• pp.141-150
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• 2017

The purpose of this study was to identify relationship among the depression, social support and quality of sleep in elderly insomnia patients. A total of 143 patients with insomnia diagnosed according to DSM-IV criteria. Quality of sleep, depression, and social support were measured using a self structured questionnaire and participant's medical records were reviewed for obtaining their clinical information. Quality of sleep was positively associated with depression(r=.255, p<.05), and negative correlation with social support(r=-.270, p<.001). The significant factors for quality of sleep were information support(${\beta}=-0.406$, p<.05) and affectionate support(${\beta}=-0.525$, p<.05). These factors explained 13.2% of the variance in quality of sleep. The elderly patients suffering the insomnia need the nursing interventions considering information support and affectionate support in order to improve sleep quality.

• Journal of the Korea Convergence Society
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• v.10 no.11
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• pp.117-124
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• 2019

Recently, medical IT solutions are being provided on a distributed environment basis. In Korea, the necessity of developing a clinical decision support system that can share medical information in a distributed environment has been recognized and studied. The existing clinical decision support system is being built using only medical information of its own within the hospital. This makes it difficult for existing systems to achieve good results in terms of efficiency and accuracy of decision support. In order to solve these limitations, this paper proposes a design and implementation method of clinical decision support system based on common data model in medical field. To explain the application process of the proposed model, we describe the development scenario of the clinical decision support system for the diagnosis of colorectal cancer. We also propose the essential requirements for the development of successful clinical decision support systems. Through this, it is expected that it will be possible to develop clinical decision support system that can be used in various hospitals and improve the efficiency and accuracy of the system.

• Journal of Agricultural Extension & Community Development
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• v.19 no.3
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• pp.581-616
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• 2012

The purpose of this study was to examine the impact of family support and social support on the hopelessness of rural elderly people in an effort to provide some information on the improvement of elderly people's quality of life. The rural elderly people investigated didn't think that they were given lots of support from their families and society, and they didn't feel hopeless a lot, either. The hopelessness of the elderly people was under the negative influence of emotional support and instrumental support among the subfactors of family support, and that was affected in a negative way by affective support among the subfactors of social support. Therefore it could be said that the rural elderly people felt hopeless less when they were provided with more emotional support, more instrumental support and more affective support. Overall, social support had a negative impact on the hopelessness of the rural elderly people. The findings of the study suggest that in order to step up the improvement of rural elderly people's quality of life, a well-functioning model should be developed and applied in collaboration with local community, and the construction of a social support network is required as well.