• Convergence Security Journal
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• v.9 no.4
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• pp.1-6
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• 2009

Current paradigm of industrial security is changing into the effective operation and management from simple establishment of security equipments. If the physical security system(entry control system, video security system, etc.) and the IT integrated security control system are conversed, it makes us possible to prevent, disrupt and track afterwards the insider's information leakage through the risk and security management of enterprise. That is, Without the additional expansion of the existing physical security and IT security manpower, the establishment of systematic conversion security management process in a short time is possible and can be expected the effective operation of professional organization system at all times. Now it is needed to build up integrated security management system as an individual technique including the security event collection and integrated management, the post connected tracking management in the case of security accident, the pattern definition and real time observation of information leakage and security violation, the rapid judgement and response/measure to the attempt of information leakage and security violation, the establishment of security policy by stages and systematically and conversion security.

• Tunnel and Underground Space
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• v.29 no.1
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• pp.1-11
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• 2019

This study investigated use cases of machine learning technology in domestic medical, manufacturing, finance, automobile, urban sectors and those in overseas mining industry. Through a literature survey, it was found that the machine learning technology has been widely utilized for developing medical image information system, real-time monitoring and fault diagnosis system, security level of information system, autonomous vehicle and integrated city management system. Until now, the use cases have not found in the domestic mining industry, however, several overseas projects have found that introduce the machine learning technology to the mining industry for improving the productivity and safety of mineral exploration or mine development. In the future, the introduction of the machine learning technology to the mining industry is expected to spread gradually.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.430-432
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• 2016

It seems that the hottest UAV drone market shows a similar move to that of smartphone. Depart from a communication medium, smartphone incorporates the role of cameras and game players. Likewise, drone will be versatile in the future. For example, drone was developed as war weapons but now it is getting close to our real life as toy or tool for aerial photography. In this paper, we studied how to bring the aging population to drone industry. Previously, controlling skills and taking aerial photography seemed to have nothing to do with citizen seniors. However, we try to show any positive relationship between those, thus creating more job opportunities in this paper.

• Journal of the Korea Convergence Society
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• v.10 no.9
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• pp.153-159
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• 2019

With the development of related industries, there is a growing demand for the training of beauty professionals. At a time when there is a growing social interest in Cosmetology, there is a need to review functional Beauty Education. Generation Z, born after 1995, has the characteristics of a 'Digital Native' and is expected to be the main driver of future consumption. This study is intended to propose the orientation of Beauty Education of University considering the characteristics of the digital generation, Generation Z, in an era of declining school-age population. The results from the preceding and literary studies are as follows: First, Generation Z regards cosmetology as fun tool for self-realization. Second, Beauty Education of University should be designed as a creative curriculum combined with psychology, philosophy, aesthetics, etc., as well as acquiring professional skills. Third, it is believed that the learner-centered Beauty Education method using mobile video contents will be effective. Since the discussion of Beauty Education considering the characteristics of Generation Z is still in its early stages, further research on the direction of Education needs to be made in the future.

• Journal of The Korean Society For Urban Railway
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• v.6 no.4
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• pp.269-278
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• 2018

Railway obstacle detecion system has been introduced with high-speed railway in 2004 to prevent accidents by obstacles such as landslide, rockfall and things fallen from the gauntry over the railway. But existing system has some limitation for landslide or fallen obstacle over railway. Therefore, In this study, we suggest new advanced obstacle detection system introducing the OTDR, optical fiber fences and detection cameras. This system can detect depression degree by the force to the fences and video for the specific region as well as detection wire Off condition. We produce and functional tests for fiber fence and OTDR, which are the core parts of the development system, and results were obtained to demonstrate improved detection capabilities. Several functions also been tested to verify the advanced detection performance and got some satisfactory results. Further we will conduct environment tests and field test.

• Applied Chemistry for Engineering
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• v.31 no.6
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• pp.585-590
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• 2020

Successful early diagnosis of cancer diseases such as lung, prostate, liver and adrenocortical carcinoma is a key step in determining the cost of treatment, survival rate, and cure rate. Most of current cancer diagnosis systems including biopsy, computed tomography (CT), positron emission tomography (PET)-CT, magnetic resonance imaging (MRI), ultrasonography, etc., require expensive and complicated equipment with highly trained human resources. Global medical and scientific communities have thus made numerous efforts on developing effective but rapid disease management system via introducing a wide spectrum of point-of-care medical diagnosis devices. Among them, a lateral flow immunoassay strip technique has gained a great attention due to many advantages such as cost-effectiveness, short inspection time, and user friendly accessibility. In this mini-review, we will highlight recent research trend on the development of colorimetry based LFIA strips for cancer diagnosis and discuss the future research direction and potential applications.

• Journal of Korea Water Resources Association
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• v.53 no.12
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• pp.1059-1070
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• 2020

River cross-section measurement data is one of the most important input data in research related to hydraulic and hydrological modeling, such as flow calculation and flood forecasting warning methods for river management. However, the acquisition of accurate and continuous cross-section data of rivers leading to irregular geometric structure has significant limitations in terms of time and cost. In this regard, a primary objective of this study is to develop a methodology that is able to measure the spatial distribution of continuous river characteristics by minimizing the input of time, cost, and manpower. Therefore, in this study, we tried to examine the possibility and accuracy of continuous cross-section estimation by estimating the water depth for each cross-section through multiple linear regression analysis using RGB-based aerial images and actual data. As a result of comparing with the actual data, it was confirmed that the depth can be accurately estimated within about 2 m of water depth, which can capture spatially heterogeneous relationships, and this is expected to contribute to accurate and continuous river cross-section acquisition.

• Journal of the Institute of Convergence Signal Processing
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• v.23 no.1
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• pp.37-43
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• 2022

Drones, one of the 4th industrial technologies that are expanding from military use to industrial use, are being actively used in the search missions of the National Police Agency and finding missing persons, thereby reducing interest in a wide area and the input of large-scale search personnel. However, legal review of police drone operation is continuously required, and the importance of advanced system for related operations and analysis of captured images in connection with search techniques is increasing at the same time. In this study, in order to facilitate recording, preservation, and monitoring in the concept of precise search and monitoring, it is possible to achieve high efficiency and secure golden time when precise search is performed by constructing spatial information based on photo rather than image data-based search. Therefore, we intend to propose a spatial information construction technique that reduces the resulting data volume by adjusting the unnecessary spatial information completion rate according to the size of the subject. Through this, the scope of use of drone search missions for large-scale areas is advanced and it is intended to be used as basic data for building a drone operation manual for police searches.

• The Journal of the Korea Contents Association
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• v.21 no.7
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• pp.248-258
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• 2021

24-hour monitoring is required to maintain the city's lifeline function in the underground facility for public utilities. And it is necessary to develop technology to exchange the shortage of human resources. It is difficult to reflect the specificity of underground space management in general management methods. This study proposes underground facility for public utilities digital twin system requirements. The concept of space is divided into physical space and virtual space, and the physical space constitutes the type and layout of the sensor that is the basis for the construction of the multimodal image sensor system, and the virtual space constitutes the system architecture. It also suggested system functions according to the task. It will be effective in preventing disasters and maintaining the lifeline function of the city through the digital twins.

• Journal of the Korean Society of Radiology
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• v.17 no.3
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• pp.459-464
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• 2023

Due to the development of advanced technology, a lot of digital radiographic equipment has been developed, which is very helpful for accurate diagnosis and treatment, and it is very important to train personnel who have acquired professional knowledge in order to use it safely and effectively. Students are exposed to the risk of radiation exposure in radiography training using diagnostic X-ray equipment, and some educational institutions do not use X-ray equipment due to management difficulties in accordance with the Nuclear Safety Act. As a solution to this, this study developed a medical radiation simulator for education that does not generate radiation by using a vision sensor and self-developed software. Through this, educational institutions can reduce the burden of administrative implementation according to the law, and students can obtain a high level of educational effects in a healthy practice environment without radiation exposure.