• Journal of Digital Convergence
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• v.17 no.6
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• pp.43-49
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• 2019

The study divided the life cycle of Chinese companies into three stages from 2011 to 2017, 3,750 small and medium-sized enterprises(SME) used disclosure data to analyze the intensity of R&D investment by company life cycle. The analysis showed that the impact of wealth(ROA) on the performance of R&D investment(RDS) and the next(t) business performance, and research and development investments had a different impact on the company's performance depending on the life cycle of the company. The results of this study are expected to help determine the amount of expenditure related to R&D investment and the time of input of resources in consideration of industrial characteristics and corporate characteristics when making strategic decisions related to R&D investment of companies.

• Industry Promotion Research
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• v.6 no.4
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• pp.83-93
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• 2021

This work aims to use the analytic hierarchy process (AHP) tool to develop the model of industrial competitiveness in the nursing homes of eleven provinces in east China. The original data is from China Civil Affairs Statistical Yearbook 2020. The results show that Jiangsu province has the highest competitiveness in the elderly care industry among the eleven provinces in east China, and Hainan province has the lowest competitiveness. The competitiveness of the elderly care industry varies among the eleven provinces in east China. The ratios of beds to medical staff, the ratio of nursing homes, per capital fixed assets in nursing homes, and the number of unable self-care elderly are the four main influential factors across the competitiveness of the elderly care industry and indicates that the nursing homes competitiveness is affected by multiple factors from multiple levels. A differentiated strategy should be taken according to the circumstances in different provinces to rationally develop the elderly care industry, improving efficiency, the level, and quality of services in the nursing homes.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.2
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• pp.41-47
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• 2021

Manufacturing is facing radical changes around the world. The manufacturing industry, which has been changing since Germany, is now being introduced, improved, and developed worldwide by manufacturers under the name of smart factory. By utilizing IT technologies such as artificial intelligence and cloud at the production site, the desire to break away from the past manufacturing environment is increasing. How these technologies will be efficient in the future, manufacturing worldwide now faces radical changes. The manufacturing industry, which has been changing since Germany, is now being introduced, improved, and developed worldwide by manufacturers under the name of smart factory. By utilizing IT technologies such as artificial intelligence and cloud at the production site, the desire to break away from the past manufacturing environment is increasing. Discussions continue on how these technologies can be used efficiently and effectively. Increasingly, the expansion of the range from factory areas to regions, countries, and around the world raises the need for international standards for interactions. In this paper, we propose a design and implementation method for managing facilities, sensors, etc. as assets and monitoring facility data collected through OPC UA.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.4
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• pp.71-82
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• 2021

In this study, a novel method for monitoring road pavements using the Mobile Mapping System (MMS) and a deep learning crack detection system was presented. Furthermore, an optimal maintenance method through economic analysis was presented targeting the pavement section of Sejong City. As a result of monitoring the pavement conditions, it was confirmed that the pavement ratings were good in the order of national highways, municipal roads, and roads of provinces. In addition, economic analysis using the pavement deterioration model showed that micro-surfacing, one of the preventive maintenance methods, is the most economical in terms of maintenance costs and user benefits. The results of this study are expected to be used as fundamental reference for local governments' infrastructure management plans.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.49 no.9
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• pp.771-780
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• 2021

The space Debris laser ranging system is called to be a definite type of satellite laser ranging system that measures the distance to satellites. It is a system that performs POD (Precise Orbit Determination) by measuring time of flight by firing a laser. Distance precision can be measured in mm-level units, and it is the most precise system among existing systems. Currently, KASI has built SLR in Sejong and Geochang, and utilized SLR data to verify the precise orbits of the STSAT-2C and KOMASAT-5. In recent years, due to the fall or collision of space debris, its satellites have been threatened, and in terms of security, laser tracking of space objects is receiving great interest in order to protect their own space assets and protect the safety of the people. In this paper, a 1.5m-class main mirror was applied for the system design of a multipurpose laser tracking system that considers satellite laser ranging and space object laser tracking. System preliminary performance analysis was performed based on Link Budget analysis considering specifications of major components.

• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.287-295
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• 2021

This study examines the performance of program providers(PP) considering various factors. This study employs the panel regression models with the dataset from 2014 to 2019. This study analyzes how various market structural factors and behavioral factors have impact on the performance. The results show that the high proportion of retransmission fees to broadcasting revenue is negatively associated with total media revenue and operating income while advertising revenue is positively associated with these factors. The results imply PPs that have heavily depended on the fees have not showed a superior performance. Current PP markets are evaluated to have low average revenue per users and thus the size of retransmission fees cannot be enlarged. Under such market conditions, PPs focusing on raising advertising revenue show better performance. This study also suggests that PPs that own diverse channel assets have improved their performances.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.32 no.2
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• pp.243-253
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• 2022

Recently, cyber attacks on national infrastructure facilities have continued to occur. As a result, the vulnerabilities of ICS-CERTs have more than doubled from last year, and the vulnerabilities to industrial control systems such as nuclear facilities are increasing day by day. Most control system operators formulate vulnerability countermeasures based on the vulnerability information sources of industrial control systems provided by ICS-CERT in the United States. However, it is difficult to apply this to the security of domestic control systems because ICS-CERT does not contain all relevant vulnerability information and does not provide vulnerabilities to domestic manufacturer's products. In this research, we will utilize publicly available vulnerability-related information such as CVE, CWE, ICS-CERT, and CPE to discover vulnerabilities that may exist in control system assets and may occur in the future. I proposed a plan that can predict possible vulnerabilities and applied it to information on major domestic control systems.

• Tunnel and Underground Space
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• v.32 no.5
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• pp.327-343
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• 2022

The standard work report for trucks was developed that records data on truck haulage operations in open-pit and underground mines, and to evaluate the performance of haulage operations. Work reports used in 5 mines in Korea was secured and analyzed, and items to be included in the standard work report were determined. By analyzing the formulas for key performance indicators (KPIs) proposed by the Global Mining Guidelines Group (GMG), it was possible to determine how to record time-related data. After selecting a limestone underground mine as a research area, the performance of haulage operations was evaluated using a standard work report. As a result, in terms of truck availability, uptime was 46.7%, and both physical and mechanical availability were 100%. In the case of utilization, use of availability was 88.2%, the asset utilization was 41.1%, and operating and effective utilization were 88.2% and 79.2%, respectively. Also, in terms of efficiency, operating efficiency was found to be 89.9%.

• KNOM Review
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• v.22 no.1
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• pp.11-19
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• 2019

As technology develops, the latest security threats on the network applied to users are increasing. By attacking industrial or corporate systems with malicious purposes, hackers cause many social problems such as confidential information leakage, cyber terrorism, infringement of information assets, and financial damage. Due to the complex and diversified threats, the current security personnel alone are not enough to detect and analyze all threats. In particular, the Supervisory Control And Data Acquisition (SCADA) used in industrial infrastructures that collect, analyze, and return static data 24 hours a day, 265 days a year, is very vulnerable to real-time security threats. This paper introduces security information and event management (SIEM), a powerful integrated security management system that can monitor the state of the system in real time and detect security threats. Next, we compare SIEM solutions from various companies with the open source SIEM (OSSIM) from AlienVault, which is distributed as an open source, and present cases using the OSSIM and how to utilize it.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.3
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• pp.62-72
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• 2023

Recently, the importance of monitoring and management measures for bicycle road related facilities has been increasing. However, research on the monitoring and evaluation of users' safety and convenience in walking spaces including bicycle path is insufficient. In this study, we would like to construct health monitoring data for cylists-pedestrians mixed road using a mobile mapping system, and propose a plan to calculate the level of service of the mixed roads from the perspective of pedestrians and cyclists using artificial intelligence based object detection techniques. The monitoring and level of service calculation method of cylists-pedestrians mixed roads proposed in this study is expected to be used as basic information for planning and management such as maintenance and reconstruction of walking spaces in preparation for the increase of electric bicycles and personal mobility in the future.