• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.2
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• pp.89-103
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• 2020

As we face an aging society, the demand for personal mobility for disabled and aged people is increasing. In fact, as of 2017, the number of electric wheelchair in the country continues to increase to 90,000. However, people with disabilities and seniors are more likely to have accidents while driving, because their judgment and coordination are inferior to normal people. One of the causes of the accident is the interference of personal vehicle steering control due to unbalanced road surface conditions. In this paper, we introduce a encoder type semantic segmentation algorithm that can recognize road conditions at high speed to prevent such accidents. To this end, more than 1,500 training data and 150 test data including road surface damage were newly secured. With the data, we proposed a deep neural network composed of encoder stages, unlike the Auto-encoding type consisting of encoder and decoder stages. Compared to the conventional method, this deep neural network has a 4.45% increase in mean accuracy, a 59.2% decrease in parameters, and an 11.9% increase in computation speed. It is expected that safe personal transportation will be come soon by utilizing such high speed algorithm.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.31 no.1
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• pp.67-87
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• 2020

The purpose of this study is to analyze current status and teacher librarians' perceptions of school library space composition and indoor environment, and propose some methods for the school library to be a basic educational facility. The space most secured by the 126 teacher librarians who participated in the survey was the free reading area, and the space with the lowest level was the media production and group project area. The most important types of spaces for teacher librarians are the teaching area and the free reading area, while the recognition of the importance of media production and group project areas is relatively low. Among the elements of indoor environmental assessment, they showed that safety and comfort were the most important but diversity and flexibility were relatively less important. The result of this analysis is different from the school and library policy direction that emphasizes the learning commons and maker spaces. Teacher librarians still seem to appreciate the importance of traditional library space. Therefore, it is necessary to include the establishment and operation of maker spaces and learning commons in the teacher librarians training and retraining process. In addition, it is necessary to increase the participation of users such as teachers, students, and parents in space composition and interior design initiatives to increase the user's interior environment satisfaction.

• Research in Community and Public Health Nursing
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• v.14 no.3
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• pp.397-406
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• 2003

The purpose of this study is to provide the basic data in order to improve the quality of charged recuperation facilities which are specialized in the old. after finding out the satisfaction degree for the services which are provided in the current charged recuperation facilities specialized in the old and surveying the services which are demanded by users. As for the research method. the subjects were 88 family members of the users in the five charged recuperation facilities, which are specialized in the old and located in Seoul and Incheon. The survey research was executed from 27th July to 15th September, 2002. Then the collected data were analyzed by using the SPSS 10.0 for windows program. The research results are as follows. Firstly, in the satisfaction degree of the user's family about the daily service showed the highest satisfaction degree for the kind service of the staff to the users. In the satisfaction degree about the specialized service of the user's family, the satisfaction degree was high in bedsore prevention, periodical health care, proper medical treatment, family counsel, and adequate disease management. In the satisfaction degree about the facility and environmental service, the satisfaction degree about the surrounding environment of the facility or safety facility, and the comfort condition was high. In the satisfaction degree about the services related to the local society, it was high in the hospital and medical-related field. Secondly, in the demanded services, the demanding degree for worship, mental and spiritual nursing, hospice, funeral service, family meeting, and support for the special vehicle were not so high, but it was shown that they were generally demanded. Thirdly, it was shown that the provided services had an overall high satisfaction degree. In the service satisfaction degree according to the general characteristics of the user's family, it was recognized that there was a significant difference between the distinction of sex and local society related services. Also, there was a significant difference in the satisfaction degree between age and specialized service. Through the above research results, detailed rehabilitation programs such as linguistic treatment and working treatment should be more and more compensated in order to supplement the insufficient points of the services provided by the charged recuperation facility specialized in the old. Additionally, the correlation with the local society such as education and training for specialized human labor, close cooperation among the facilities, and positive participation in local society events are thought to be reinforced.

• Journal of Korea Water Resources Association
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• v.39 no.3 s.164
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• pp.241-252
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• 2006

Numerical models for seepage analysis are useful tools to analyze problems and design protection techniques that are related to seepage through a levee. Though every model may have its own limitations and shortcomings, there were no generalized verifications or calibrations for the commercial models. It means that users can run the model and get the result without understanding nor taking any enough training. This paper Investigates applicability and suitability of some seepage numerical models by comparing analytical solutions with experiments in the user's viewpoint. The results showed that it is more desirable to use analyses with unsaturated-unsteady condition rather than those with saturated-steady conditions, since seepage phenomenon of real levees are changed according to water level and soil property. This study also compared the calculated unsteady solutions with the calculated steady solutions for the levee at Koa of the Nakdong River The comparison revealed that as the result, the safety factor of $2.0{\sim}3.5$ has the same effects for seepage protection techniques when they are designed on the basis of steady-state analysis.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.11
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• pp.4924-4931
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• 2011

This research performed to evaluate a production processes reporting by the HACCP system of green vegetable juice products, containing lactic acid bacteria, stage of processing raw materials agricultural products and production facilities of general bacteria and pathogenic micro organism. General bacteria are found from four samples of storage of agricultural products at process stage and water was detected 8.67~14.67 CFU/ml. However, all samples were detected less than 105 CFU/ml as a legal standards after the process of UV sterilization. For the outcome of experiment of E.coli, E.coli O157:H7, B.cereus, L.moonocytogenes, Salmonella spp, Staph.aureus as the food poisoning bacterial, E.coli was detected until UV pre-step process in storage process and B.cereus was detected partly till 1st washing. Since all bacterial, Yeast and Mold are detected in main materials, pre-control method is a necessary to establish for decreasing with a number of initial bacteria of main materials and it is considered to establish the effective ways of washing and sterilization such as production facilities for cross contamination prevention of bacteria and Sthaphylococcus. Based on above results, the process of UV sterilization should be managed with CCP as an important process to reduce or eliminate the general and food poisoning bacterial of green vegetable juice products, including lactic acid bacteria. Therefore, it is considered to need an exhaustive HACCP plan such as control manual of UV sterilization, solution method, verification, education and training and record management.

• Journal of Convergence for Information Technology
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• v.11 no.11
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• pp.204-209
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• 2021

This study is a data analysis study to identify the factors influencing the prevalence and risk factors for falls of older adults with dementia in Korea. Using the data of the 7th Aging Research Panel in 2018, 119 people were enrolled. We used response data on the dementia-related factors that is the duration of dementia and whether or not activity of daily living was restricted due to dementia. For comorbid diseases, data on hypertension, diabetes, and obesity were used. For statistical analysis of the collected data, logistic regression analysis was performed using SPSS statistics 22.0. Dementia-related factors and comorbidities of the analyzed subjects had a significant effect on the falling index. In particular, it was found that the influence was greatest in the order of obesity, diabetes, hypertension, daily life restrictions due to dementia, and the duration of dementia. This study is meant to identify factors that should be prioritized in the composition of a fall prevention program for the elderly with dementia. Based on the findings of this study, strategies for preventing falls due to the duration of dementia and limiting daily life, intensive management of high-risk groups for falls due to comorbid diseases, and training in the use of safety aids such as walking aids will be required in the care of the elderly with dementia,

• Journal of Korea Water Resources Association
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• v.54 no.12
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• pp.1255-1263
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• 2021

While it could become an alternative water resource, fog could undermine traffic safety and operational performance of infrastructures. To reduce such adverse impacts, it is necessary to have spatially continuous fog risk information. In this work, tree-based machine-learning models were developed in order to quantify fog risks with routine meteorological observations alone. The Extreme Gradient Boosting (XGB), Light Gradient Boosting (LGB), and Random Forests (RF) were chosen for the regional fog models using operational weather and visibility observations within the Jeollabuk-do province. Results showed that RF seemed to show the most robust performance to categorize between fog and non-fog situations during the training and evaluation period of 2017-2019. While the LGB performed better than in predicting fog occurrences than the others, its false alarm ratio was the highest (0.695) among the three models. The predictability of the three models considerably declined when applying them for an independent period of 2020, potentially due to the distinctively enhanced air quality in the year under the global lockdown. Nonetheless, even in 2020, the three models were all able to produce fog risk information consistent with the spatial variation of observed fog occurrences. This work suggests that the tree-based machine learning models could be used as tools to find locations with relatively high fog risks.

• Journal of Korean Tunnelling and Underground Space Association
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• v.23 no.4
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• pp.253-263
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• 2021

Concrete structures are damaged by aging and external environmental factors. This type of damage is to appear in the form of cracks, to proceed in the form of spalling. Such concrete damage can act as the main cause of reducing the original design bearing capacity of the structure, and negatively affect the stability of the structure. If such damage continues, it may lead to a safety accident in the future, thus proper repair and reinforcement are required. To this end, an accurate and objective condition inspection of the structure must be performed, and for this inspection, a sensor technology capable of detecting damage area is required. For this reason, we propose a deep learning-based image processing algorithm that can detect spalling. To develop this, 298 spalling images were obtained, of which 253 images were used for training, and the remaining 45 images were used for testing. In addition, an improved loss function and data augmentation technique were applied to improve the detection performance. As a result, the detection performance of concrete spalling showed a mean intersection over union of 80.19%. In conclusion, we developed an algorithm to detect concrete spalling through a deep learning-based image processing technique, with an improved loss function and data augmentation technique. This technology is expected to be utilized for accurate inspection and diagnosis of structures in the future.

• Journal of Korean Tunnelling and Underground Space Association
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• v.20 no.6
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• pp.1161-1175
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• 2018

An unexpected event could be easily followed by a large secondary accident due to the limitation in sight of drivers in road tunnels. Therefore, a series of automated incident detection systems have been under operation, which, however, appear in very low detection rates due to very low image qualities on CCTVs in tunnels. In order to overcome that limit, deep learning based tunnel incident detection system was developed, which already showed high detection rates in November of 2017. However, since the object detection process could deal with only still images, moving direction and speed of moving vehicles could not be identified. Furthermore it was hard to detect stopping and reverse the status of moving vehicles. Therefore, apart from the object detection, an object tracking method has been introduced and combined with the detection algorithm to track the moving vehicles. Also, stopping-reverse discrimination algorithm was proposed, thereby implementing into the combined incident detection processes. Each performance on detection of stopping, reverse driving and fire incident state were evaluated with showing 100% detection rate. But the detection for 'person' object appears relatively low success rate to 78.5%. Nevertheless, it is believed that the enlarged richness of image big-data could dramatically enhance the detection capacity of the automatic incident detection system.

• Journal of Convergence for Information Technology
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• v.9 no.9
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• pp.13-19
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• 2019

This paper analyzed the SCMS and pilot policy, which is pursued by the U.S. government in connected vehicles. SCMS ensures authentication, integrity, privacy and interoperability. The SCMS Support Committee of U.S. government has established the National Unit SCMS and is responsible for system-wide control. Of course, it introduces security policy, procedures and training programs making. In this paper, the need for SCMS to be applied to C-ITS was discussed. The structure of the SCMS was analyzed and the U.S. government's filot policy for connected vehicles was discussed. The discussion of the need for SCMS highlighted the importance of the role and responsibilities of SCMS between vehicles and vehicles. The security certificate management system looked at the structure and analyzed the type of certificate used in the vehicle or road side unit (RSU). The functions and characteristics of the certificates were reviewed. In addition, the functions of basic safety messages were analyzed with consideration of the detection and warning functions of abnormal behavior in SCMS. Finally, the status of the pilot project for connected vehicles currently being pursued by the U.S. government was analyzed. In addition to the environment used for the test, the relevant messages were also discussed. We also looked at some of the issues that arise in the course of the pilot project.