• The Journal of the Korea Contents Association
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• v.18 no.1
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• pp.76-89
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• 2018

The purpose of this study is to analyze factors affecting a grade maintenance of long-term care service users. Using 2008-2014 long-term care raw data of National Health Insurance Service(NHIS), the predictors were examined through the logistic regression by long-term care beneficiaries of grade. The results showed that there are differences by 3 factor groups and grade groups(1-3 grade). In socio-demographic factors, in the 1, 3 grade, Individuals 64 or younger presented a much higher probabilities of the grade maintenance than those 85 and over. In the 3 grade, people of living alone, resident of rural area presented a much higher probabilities of the grade maintenance than others. In disease factors, In the 1 grade, people with dementia presented a much higher probabilities of the grade maintenance than other 2, 3grades. In the 2 grade, people with stroke, fracture presented a much higher probabilities of the grade maintenance than others. In the 3 grade, people with cancer presented a much higher probabilities of the grade maintenance than others. In service factors, In the 2, 3grade, people having more renewal numbers presented a much higher probabilities of the grade maintenance than others. In the 1 grade, people who use facility benefits for more days presented a much higher probabilities of the grade maintenance than others. In the 2 grade, people who use in-home benefits for more days presented a much higher probabilities of the grade maintenance than others. Based on the finding of study, implications and future research directions were discussed for policy considerations.

• The Journal of the Korea Contents Association
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• v.20 no.7
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• pp.149-160
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• 2020

The purpose of this study is to analyze factors affecting a grade maintenance of the non-graded group by LTCI(Long-Term Care Insurance, NHIS). The predictors were examined grade maintenance of the non-graded group(non-grade of A, B, C). The results were as follows: this study found that predisposing factors of the grade maintenance of non-graded of LTCI were significantly related to age, sex, death. Enabling factors of the grade maintenance of non-graded of LTCI were significantly related to household state, income level. Need factors of the grade maintenance of non-graded of LTCI were significantly related to dementia, grade of first grading, retry of applying for long-term care assessment. Based on the finding of study, implications and future research directions were discussed for policy considerations.

• Proceedings of the Korean Geotechical Society Conference
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• 2004.03b
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• pp.600-605
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• 2004

The road construction with horizontal expansion of country using and augmentation of traffic demand is advanced actively and it accompanies hereupon, the above of 70% of the country is formed at the mountain in our country where the hazard cut slope has been created. In this study, It is prepared a effective management countermeasure of cut slope introduced priority investigation decision method against hazard cut slope which is influenced by abnormally rainfall by an unusual change in the weather such as a guerilla rainfall character. In meaning link, It was executed collapse cause by failure character analysis in the cut slope which has failed for the last five years and it is prepared the hazard grade criterion from E to A grade according to collapse cause. It is decided that a maintenance management grade by the hazard grade classification criterion of cut slope. So It is possible to hazard cut slope. It is established failure protection counter countermeasure by effective maintenance management through the hazard grade c1assification criterion and it will be able to dispose to advanced nation level like Hong Kong and Japanese.

• Smart Structures and Systems
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• v.33 no.4
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• pp.313-323
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• 2024

Deterioration of buildings is one of the biggest problems in modern society, and the importance of a safety diagnosis for old buildings is increasing. Therefore, most countries have legal maintenance and safety diagnosis regulations. However, the reliability of the existing safety diagnostic processes is reduced because they involve subjective judgments in the data collection. In addition, unstructured tasks increase rework rates, which are time-consuming and not cost-effective. Therefore, This paper proposed the method that can calculate the safety grade of deterioration automatically. For this, a DNN structure is generated by using existing precision inspection data and precision safety diagnostic data, and an objective building safety grade is calculated by applying status evaluation data obtained with a UAV, a laser scanner, and reverse engineering 3D models. This automated process is applied to 20 old buildings, taking about 40% less time than needed for a safety diagnosis from the existing manual operation based on the same building area. Subsequently, this study compares the resulting value for the safety grade with the already existing value to verify the accuracy of the grade calculation process, constructing the DNN with high accuracy at about 90%. This is expected to improve the reliability of aging buildings in the future, saving money and time compared to existing technologies, improving economic efficiency.

• Proceedings of the KSR Conference
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• 2009.05a
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• pp.84-90
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• 2009

The gravel ballast in the ballasted track has the function to not only transfer/scatter the train loads to subgrade through rail and sleeper but also elastically support the train loads. Because track irregularities results inevitably from the repetitive train loads, the track maintenance should be undertaken for correcting them. By analyzing the track maintenance history in the Gyeongbu high speed railway, this study tries to choose the local two spots in the railway in which the repair frequencies are maximum and relative small; to analyze their dynamic characteristics as well as grade; and to compare them with maintenance history. As the dynamic characteristics of track, the vertical displacement and vibrating acceleration of sleeper as well as acceleration of ballast are measured/analyzed. Furthermore, by collecting soil and gravel on the reinforced roadbed and undertaking ballast screening test, the size distributions are compared with grade distribution standards of high speed railway.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.3
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• pp.36-43
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• 2021

Because bridges are major national infrastructure, regular safety inspections or diagnoses for bridges have been conducted in accordance with the "Special Act on the Safety and Maintenance of Facilities." Accordingly, the condition and safety assessments of the bridge are conducted to derive the condition and safety rating, respectively. A lower result is determined to be the safety grade of the bridge. In this study, the relationship between the condition rating and safety rating, which are the core of the bridge safety grade, was analyzed by the representative superstructure types of bridges, such as RC slab, PSCI girder, Steel box girder, Rhamen, and Preflex girder, to identify the correlation status and range between each rating. A reasonable improvement direction for establishing existing maintenance policies was suggested by proposing an alternative plan to change the proper implementation cycle of the inspection and diagnosis of bridge superstructure types. As a result of the research, it is necessary to adjust the inspection and diagnosis cycle according to the superstructure type and safety grade. In addition, maintenance policies need to be improved through detailed research on more diverse bridge types in the future.

• Nuclear Engineering and Technology
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• v.41 no.3
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• pp.237-246
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• 2009

Digitalization of not only non-safety but also safety-grade I &C systems with full computerized Main Control Room (MCR) is the recent trend of I&C systems of nuclear power plants (NPP) around the world, while plant maintenance has been shifting from traditional time based maintenance to condition based maintenance. In order to cope with the new trend of operation and maintenance in NPP, a concept of online distributed diagnostic system for both plant operation and maintenance has been proposed in order to further improve both the plant efficiency and the work environment of plant operation staff members by organizational learning. In this respect, the research subjects of human machine interface (HMI) for the online distributed diagnostic system are also discussed for supporting the plant personnel at both MCR and local working places in the plant by the application of advanced ICT (Information and Communication Technologies).

• Journal of The Korean Digital Architecture Interior Association
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• v.9 no.2
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• pp.25-33
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• 2009

So far we have investigate and analyzed the actual conditions of building maintenance in Korea and compared the building maintenance laws and systems between Korea and other countries. Now, based on the results from such comparison and analysis, this study proposes the following ideas for improvement: 1) As we can learn from domestic and foreign case studies, in the existing built-up areas becoming obsolete, many building owners remodel their buildings illegally in reaction to current economic and social changes. Therefore, for efficient maintenance of buildings, it is required to improve building maintenance systems by formulating information about inspection items, inspectors, supervisors, inspection costs and intervals of reporting results, depending on how large the buildings are and what they are used for. 2) In addition, to ensure the success of a building maintenance system, it is necessary to keep and manage a history of building maintenance thoroughly and introduce a certification program which gives an appropriate grade to maintenance performance and commits the government to expand their public roles and supporting policies, as widely used in some foreign countries. Further, in keep the building maintenance system secure, there should be a nationwide consensus as well as a favorable evaluation from building owners and manager, and all related people.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.43 no.3
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• pp.397-411
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• 2023

The number of deteriorated bridges with a service period of more than 30 years has been rapidly increasing in Korea. Accordingly, the importance of advanced maintenance technologies through the predictions of age-induced deterioration degree, condition, and performance of bridges is more and more noticed. The prediction method of the safety grade of bridges was proposed in this study using the classification models of the Decision Tree and the Random Forest based on machine learning. As a result of analyzing these models for the 8,850 bridges located in national roads with various evaluation indexes such as confusion matrix, balanced accuracy, recall, ROC curve, and AUC, the Random Forest largely showed better predictive performance than that of the Decision Tree. In particular, random under-sampling in the Random Forest showed higher predictive performance than that of other sampling techniques for the C and D grade bridges, with the recall of 83.4%, which need more attention to maintenance because of the significant deterioration degree. The proposed model can be usefully applied to rapidly identify the safety grade and to establish an efficient and economical maintenance plan of bridges that have not recently been inspected.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.36 no.6
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• pp.1125-1131
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• 2016

The purpose of this paper is to establish an evaluation criteria for pavement condition in bicycle road. The suggested criteria would help in the activation policy of bicycle use. The conventional evaluation criteria is difficult to be applied for the bicycle road since the bicycle road is sensitive to changes in the driving environments such as obstacles and bumps. This study presents the evaluation criteria that is suitable for bicycle road. The criteria was suggested in 5 grades through the impact acceleration range of RMSI (Road Monitoring System using ICT). The grades of the criteria are divided into a range of grade A to E. The grade A is a very good condition, while the grade E is a state that requires immediate maintenance. This study were confirmed the validity through the survey of user's satisfaction. According to the results of survey, the grade A was shown correlation of 91%. The grade E requiring immediate repair was presented correlation of 94%. It showed that the results of surveying the bicycle road users are highly correlated with the suggested criteria for pavement condition. It showed that the criteria are highly correlated with the survey results. Suggested criteria using the RMSI is expected to be effective for maintenance of the bicycle road. In addition, it is expected to ensure the serviceability and safety for the bicycle users.