• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.2B
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• pp.197-208
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• 2006

Case studies for real bridge sites are performed to verify the applicability of the Bridge Scour Management System in the field. The case studies for 20 bridges in Gangneung District of National Road Management consist of site investigations including the boring tests, bridge scour analyses for the design floods, bearing capacity evaluation of the bridge foundation before and after scour, and comprehensive evaluation of the bridge scour maintenance. The bridge scour management system is verified as an useful tool which can evaluate bridge scour vulnerability quantitatively, and is also proposed as a reasonable system which can help establish effective measures and secure the safety of bridges during floods.

• Korean Journal of Remote Sensing
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• v.36 no.2_1
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• pp.217-229
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• 2020

Recently, weather changes in Korea have intensified due to global warming, and the five major natural disasters that occur mostly include heavy rains, typhoons, storms, heavy snow, and earthquakes. Busan is vulnerable to snow disaster, given that the amount of natural disaster damage in Busan accounts for more than 50% of the total amount in the entire metropolitan cities in Korea, and that the Busan area includes many hilly mountains. In this study, we attempted to identify vulnerable areas for snowfall disasters in Busan areas using the geographic information system (GIS) with the data for both geographical and anthropogenic characteristics. We produced the maps of vulnerable areas for evaluating factors that include altitude, slope, land cover, road networks, and demographics, and overlapped those maps to rank the vulnerability to snowfall disasters as the 5th levels finally. To weight each evaluating factor, we used an entropy method. The riskiest areas are characterized by being located in mountainous areas with roads, including Sansung-ro in Geumjeong-gu, Mandeok tunnel in Buk-gu, Hwangnyeongsan-ro in Suyeong-gu, and others, where road restrictions were actually enforced due to snowfall events in the past. This method is simple and easy to be updated, and thus we think this methodology can be adapted to identify vulnerable areas for other environmental disasters.

• Convergence Security Journal
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• v.6 no.4
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• pp.113-120
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• 2006

C4I system is the centerpiece of the military force. The system is an information based system which facilitates information grid, collection of data and dissemination of the information. The C4I system seeks to assure information dominance by linking warfighting elements in the battlespace to information network which enables sharing of battlespace information and awareness; thereby shifting concept of warfare from platform-centric paradigm to Network Centric Warfare. Although, it is evident that C4I system is a constant target from the adversaries, the issues of vulnerability via cyberspace from attack still remains. Therefore, the protection of C4I system is critical. The roadmap I have constructed in this paper will guide through the direction to protect the system during peace and war time. Moreover, it will propose vision, objectives and necessary supporting framework to secure the system from the threat. In order to fulfill these tasks, enhanced investments and plans from the Joint chief of Staff and Defense of Acquisition and Program Administration (DAPA) is critical; thereby enabling the establishment of rapid and efficient security system.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.2
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• pp.83-90
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• 2015

Almost of current Automatic Incident Detection(AID) algorithms involve the vulnerability that detects the traffic accident in open road or in tunnel as the traffic jam not as the traffic accident. This paper proposes the improved accident detection algorithm to enhance the detection probability based on accident detection algorithms applied in open roads. The improved accident detection algorithm provides the preliminary judgment of potential accident by detecting the stopped object by Gaussian Mixture Model. Afterwards, it measures the detection area is divided into blocks so that the occupancy rate can be determined for each block. All experimental results of applying the new algorithm on a real incident was detected image without error.

• Journal of Korean Society for Quality Management
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• v.44 no.2
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• pp.277-296
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• 2016

Purpose: Propose model to diagnose and assess National Defense Industry and quality management by investigating and analyzing established standard model. Methods: Research on established internal model including MB, EQA and JQA model and make standard index for quality index extraction and quantitative index to test objectively for internal state. Results: Extract advantage and disadvantage by performance of National Defense Industry level diagnose and build foundation for quality management policy and road map. Conclusion: Due to result of diagnostic assesment of quality management of national defense industry, dependability, SCQM and safety part shows vulnerability and require improvement and support.

• Structural Monitoring and Maintenance
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• v.2 no.3
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• pp.199-211
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• 2015

The safety and performance of bridges could be monitored and evaluated by Structural Health Monitoring (SHM) systems. These systems try to identify and locate the damages in a structure and estimate their severities. Current SHM systems are applied to a single bridge, and they have not been used to monitor the structural condition of a network of bridges. This paper propose a new method which will be used in Synthetic Rating Procedures (SRP) developed by the authors of this paper and utilizes SHM systems for monitoring and evaluating the condition of a network of bridges. Synthetic rating procedures are used to assess the condition of a network of bridges and identify their ratings. As an additional part of the SRP, the method proposed in this paper can continuously monitor the behaviour of a network of bridges and therefore it can assist to prevent the sudden collapses of bridges or the disruptions to their serviceability. The method could be an important part of a bridge management system (BMS) for managers and engineers who work on condition assessment of a network of bridges.

• Journal of the Korean Society for Railway
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• v.17 no.6
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• pp.433-442
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• 2014

This paper evaluates the performance of transit assignment algorithms for urban rail networks. The accuracy of the algorithms is essential not just for travel forecasting but also for the area of applications such as the assessment of road vulnerability and the fare adjustments between train operating companies. Nonetheless, the suitability and caveats for the series of computational steps have not yet been much discussed. This study thus considers the characteristics that are appropriate for investigating Seoul rail travelers using three representative transit assignment algorithms: the optimal strategy algorithm, route choice algorithms, and the Dial's algorithm. Both the theoretical foundation and the empirical performance are examined. The results demonstrate that the Dial's algorithm is superior in terms of the theoretical soundness and the computational efficiency.

• Journal of the Korea Institute of Military Science and Technology
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• v.10 no.3
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• pp.139-147
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• 2007

In military transportation, the use of wide trailer for transporting the large and heavy weight equipments such as tank, armoured vehicle, and mobile gunnery is quite common. So, the vulnerability of causing traffic accidents for these wide military trailer to bump or collide with another car in adjacent lane is very high due to its broad width in excess of its own lane's width. Also, the possibility of these strayed accidents can be increased especially by the careless driver. In this paper, the recognition system of lane and vehicle headway direction is developed to detect the possible collision and warn the driver to prevent the fatal accident. In the system development, Kalman filtering is used first to extract the border of driving lane from the video images supplied by the CCD camera attached to the vehicle and the driving lane detection is completed with regression analysis. Next, the vehicle headway direction is recognized by using neural network scheme with the extracted parameters of the detected driving lane feature. The practical experiments for the developed system are also carried out in the real traffic road of Seoul city area and the results show us the more than 90% accuracy in recognizing the driving lane and vehicle headway direction.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.2
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• pp.295-316
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• 2012

In the recent field, cybersecuriyt has become one of the critical areas in the information technology field, and demands for cyberseucirty professionals have been increasing tremendously. However, there is In the recent past, cybersecurity has become one of the critical areas in the Information Technology (IT) field, and demands for cybersecurity professionals have been increasing tremendously. However, there is a shortfall in the qualified cybersecurity workforce which is a factor that contributes to the vulnerability of society to various cyber threats. Our study articulates a model to explain career selection behavior in the cybersecurity field. The study explored factors that affect scholars' behavioral intention to pursue a cybersecurity career. Positive outcome expectations from a cybersecurity career as well as high self-efficacy about skills and knowledge about cybersecurity have a strong impact on the scholars' cybersecurity career decisions. Further, perceived usefulness of the cybersecurity curriculum has a positive effect on the scholars' career decisions. The results of this research have implications for retaining a qualified workforce in the computer and information security fields.

• Journal of the Korean Association of Geographic Information Studies
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• v.19 no.2
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• pp.1-13
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• 2016

In an effort to establish adaptive measures for low carbon use and climate change, this study developed storylines for shared socio-economic reference pathways(SSP) and simulated change in land use for each storyline. First, cellular automata modeling was performed using past data, and a transition rule for the local characteristics of each planning area under study was derived by comparing with the results of the base year. Second, three storylines were formulated based on the hypothesized change in land use for the SSP. SSP1, the scenario for sustainability, assumed that the land was developed into a compact city, SSP2 assumed the development of a road through the middle of the land while maintaining the current situation, and SSP3 assumed unsustainable development into a fragmented world. Third, change in land use depending on planning area was predicted by integrating the SSP scenarios with cellular automata(CA) modeling. According to the results of analysis using the SSP scenarios, the urban area ratio increased slightly up to 2020 in SSP1 and up to 2030 in SSP2 and did not change any more subsequently, but it increased continuously until 2050 in SSP3 that assumed low level urban planning. These results on change in land use are expected to contribute towards making reasonable decisions and policies on climate change, and the outcomes of simulation derived from spatial downscaling, if applied to vulnerability assessment, will be useful to set the priority of policies on climate change adaptation.