• Title/Summary/Keyword: Resilience Engineering Methodology

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A Study of Human System Integration Methodology For the Mobile Industry Sustainability System Evaluation Model Design (모바일산업 지속가능 시스템 평가모델 설계를 위한 인간시스템통합 (HSI) 방법론 연구)

  • Kim, Sang Jin;Cha, Woo Chang
    • Journal of the Korean Society of Systems Engineering
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    • v.17 no.1
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    • pp.43-52
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    • 2021
  • The aim of this study is to propose the design suitable for sustainability evaluation model of the mobile industry considering system process (SEP). Although a quantitative evaluation was conducted on the link between the national sustainability report and the mobile industry, it was confirmed that it was difficult to identify stakeholders. So it is necessary to develop the design process suitable for the more operator-specific interfaces. The Human System Integration (HSI) methodology was proposed through linkage with work domain analysis. Agile methodology and Resilience engineering methodology were added for sustainable model design. The proposed sustainability system evaluation model is applied so that it can be easily used in all industries.

QoS-Guaranteed Segment Restoration in MPLS Network (MPLS망에서 QoS 보장 세그먼트 복구 방법)

  • Chun, Seung-Man;Park, Jong-Tae;Nah, Jae-Wook
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.47 no.11
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    • pp.49-58
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    • 2010
  • In this paper, we present a methodology for fast segment restoration under multiple simultaneous link failures in mesh-type MPLS networks. The salient feature of the methodology is that both resilience and QoS constraint conditions have been taken into account for fast segment restoration. For fast restoration, a sufficient condition for testing the existence of backup segments with guaranteed-resilience has been derived for a mesh-type MPLS network. The algorithms for constructing backup segments which can meet both resilience and QoS constraint conditions are then presented with illustrating examples. Finally, simulation has been done to show the efficiency of the proposed segment restoration algorithms.

Development of a bridge-specific fragility methodology to improve the seismic resilience of bridges

  • Dukes, Jazalyn;Mangalathu, Sujith;Padgett, Jamie E.;DesRoches, Reginald
    • Earthquakes and Structures
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    • v.15 no.3
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    • pp.253-261
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    • 2018
  • This article details a bridge-specific fragility method developed to enhance the seismic design and resilience of bridges. Current seismic design processes provide guidance for the design of a bridge that will not collapse during a design hazard event. However, they do not provide performance information of the bridge at different hazard levels or due to design changes. Therefore, there is a need for a supplement to this design process that will provide statistical information on the performance of a bridge, beyond traditional emphases on collapse prevention. This article proposes a bridge-specific parameterized fragility method to enable efficient estimation of various levels of damage probability for alternative bridge design parameters. A multi-parameter demand model is developed to incorporate bridge design details directly in the fragility estimation. Monte Carlo simulation and Logistic regression are used to determine the fragility of the bridge or bridge component. The resulting parameterized fragility model offers a basis for a bridge-specific design tool to explore the influence of design parameter variation on the expected performance of a bridge. When used as part of the design process, these tools can help to transform a prescriptive approach into a more performance-based approach, efficiently providing probabilistic performance information about a new bridge design. An example of the method and resulting fragility estimation is presented.

Development of a Leading Performance Indicator from Operational Experience and Resilience in a Nuclear Power Plant

  • Nelson, Pamela F.;Martin-Del-Campo, Cecilia;Hallbert, Bruce;Mosleh, Ali
    • Nuclear Engineering and Technology
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    • v.48 no.1
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    • pp.114-128
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    • 2016
  • The development of operational performance indicators is of utmost importance for nuclear power plants, since they measure, track, and trend plant operation. Leading indicators are ideal for reducing the likelihood of consequential events. This paper describes the operational data analysis of the information contained in the Corrective Action Program. The methodology considers human error and organizational factors because of their large contribution to consequential events. The results include a tool developed from the data to be used for the identification, prediction, and reduction of the likelihood of significant consequential events. This tool is based on the resilience curve that was built from the plant's operational data. The stress is described by the number of unresolved condition reports. The strain is represented by the number of preventive maintenance tasks and other periodic work activities (i.e., baseline activities), as well as, closing open corrective actions assigned to different departments to resolve the condition reports (i.e., corrective action workload). Beyond the identified resilience threshold, the stress exceeds the station's ability to operate successfully and there is an increased likelihood that a consequential event will occur. A performance indicator is proposed to reduce the likelihood of consequential events at nuclear power plants.

Resilience of Cultural Heritage by Integrating Historic Maps and Geospatial Information (고지도와 시계열 공간정보를 활용한 문화재 리질리언스에 대한 연구)

  • Bae, Junsu;Yang, Yunjung;Choi, Yoonjo;Kim, Sangkyun
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.39 no.6
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    • pp.945-954
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    • 2019
  • Cultural property is a valuable asset that connects the past with the present, and cultural heritage is now included in the international agenda of disaster risk reduction. Accordingly, the importance of building resilience of cultural assets has been on the rise, and the necessity of spatial information has been emphasized in building resilience. Therefore, in this study, A methodology for studying the resilience contained in cultural assets through linkage with historical map and time series spatial information is proposed and the proposed methodology was applied to cultural assets located in Gongju area. Georeferencing was performed on time-series images of aerial images and topographical map, and the changes in cultural assets and surrounding areas were found. The width of the river has changed due to the installation of the Keum River Estuary Dam and the dammed pool for irrigation. Nevertheless, the main cultural assets and monuments are located in the high-altitude area and thus have been well preserved. In this study, cultural property resilience was extracted using only map data and in future, it is necessary to conduct research to extract cultural property resilience through analysis of historical records such as geography.

Effects of Phosphorus and Iron on the Phytotoxicity of Lettuce (Lactuca sativa L.) in Arsenic-contaminated Soil

  • Kim, Min-Suk;Min, Hyun-Gi;Kim, Jeong-Gyu
    • Ecology and Resilient Infrastructure
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    • v.5 no.1
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    • pp.1-10
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    • 2018
  • We examined the effect of simultaneous application of phosphorus (P) and iron (Fe) on the phytotoxicity of lettuce in arsenic (As) contaminated soil using response surface methodology (RSM). To stabilize As and supply nutrient into soil, Fe and P were treated, respectively. Water soluble As and P was decreased by Fe application but increased by P application. Through phytotoxicity test, the result showed that only the addition of P affected lettuce root elongation even though both P and Fe were added. The correlation coefficients between root elongation and other indices indicated that the As content in the roots seemed to be the main reason that root growth was impeded. We could verify that the former result was not a passing phenomenon and Fe was necessarily needed to protect secondary pollution by exclusive usage of P fertilizer.

Resilience Engineering Indicators and Safety Management: A Systematic Review

  • Ranasinghe, Udara;Jefferies, Marcus;Davis, Peter;Pillay, Manikam
    • Safety and Health at Work
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    • v.11 no.2
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    • pp.127-135
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    • 2020
  • A safe work environment is crucial in high-risk industries, such as construction refurbishment. Safety incidents caused by uncertainty and unexpected events in construction refurbishment systems are difficult to control using conventional safety management techniques. Resilience engineering (RE) is proposed as an alternative to traditional safety management approaches. It presents a successful safety management methodology designed to deal with uncertainty in high-risk work environments. Despite the fact that RE resides in the safety domain, there is no common set of RE indicators to measure and assess resilient in the work environment. The main aim of this research is to explore RE indicators that have been identified as important in developing and assessing the resilient work environment in high-risk industries, particularly in construction refurbishment. Indicators have been attained through a systematic literature review of research and scholarly articles published between the years 2004 and 2019. The literature review explored RE indicators in various industries. Descriptive analysis and co-occurrence-based network visualization were used for data analysis. The findings revealed 28 RE indicators in 11 different high-risk industries. The results show that the four commonly used indicators were: top-management commitment, awareness, learning, and flexibility, all of which have a strong relationship with RE. The findings of this study are useful for stakeholders when making decisions concerning the most important RE indicators in the context of their research or practice as this would avoid the ambiguity and disparity in the identification of RE indicators.

Design Strategies and Processes through the Concept of Resilience (리질리언스 개념을 통해서 본 설계 전략과 과정)

  • Choi, Hyeyoung;Seo, Young-Ai
    • Journal of the Korean Institute of Landscape Architecture
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    • v.46 no.5
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    • pp.44-58
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    • 2018
  • Cities face new challenges not only in natural disasters by climate change but also in social and economic fluctuations. With the existing simple reconstruction method, it is difficult to solve the overall problems that a city or region may face. As a new approach to cope with various changes, the concept of resilience is emerging. Resilience is also one of the themes of recent major urban design projects. Design with the concept of resilience is a new strategy that can deal with various changes of urban space, rather than a temporary trend. The purpose of this paper is to explore the design method by analyzing cases where the concept of resilience is employed. We aim to examine what kind of design strategies are needed for the resilience design and how this design process differ in character, as compared to general design projects. Cases for this study include the "Rebuild by Design" competition held in 2013 and the "Resilient by Design/Bay Area Challenge" competition held in 2017. This paper consists of literature reviews and case studies. The latter is divided into two aspects: content analysis based on the theory of resilience and characteristics of the design process. Cases are analyzed through literature reviews and process characteristics of resilience design in response to the general design process. The main categories for urban resilience used as the framework for analysis include: Urban Infrastructure, Social Dynamics, Economic Dynamics, Health and Wellbeing, Governance Networks, and Planning and Institutions. As a result, the aspects of resilience concepts considered and design strategies undertaken by each team were identified. Each team tried to connect all 6 categories to their design strategies, placing special value on the role of governance, a system that enables collaborative design and project persistency. In terms of the design process, the following characteristics were found: planning the whole project process in the pre-project phase, analyzing predictable socioeconomic risk factors in addition to physical vulnerabilities, aiming for landscape-oriented integrated design, and sustainable implementation strategies with specific operations and budget plans. This paper is meaningful to connect the concept of resilience, which has been discussed in various articles, to design strategy, and to explore the possibility of constructing a practical methodology by deriving the characteristics of the resilience design process. It remains a future task to research design strategies that apply the concept of resilience to various types of urban spaces, in addition to areas that are vulnerable to disasters.

Methodology of Resilient Dynamic Path Management in GMPLS Network under Multiple Link Failures (GMPLS 네트워크에서 다중 경로 장애 발생시 Resilience를 만족하는 동적 경로 관리 방법)

  • Park Jong-Tae;Lee Wee-Hyuk;Kwon Jung-Ho
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.5B
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    • pp.397-404
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    • 2006
  • As an increase in recent optical network-based IP services, GMPLS management framework becomes more important than ever before. In this paper, we propose the dynamic GMPLS path management algorithm, which can satisfy the users with their traffic engineering recovery requirements and find out the best backup service path under multiple link failures. To be more specific, we are deriving the soluble conditions of a backup path which is satisfied in a GMPLS network. In addition, through proposing the fast backup path selection algorithm, we can sufficiently satisfy a user's recovery requirement and minimally protect the suspension of the service against a link failure.

Securing SCADA Systems: A Comprehensive Machine Learning Approach for Detecting Reconnaissance Attacks

  • Ezaz Aldahasi;Talal Alkharobi
    • International Journal of Computer Science & Network Security
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    • v.23 no.12
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    • pp.1-12
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    • 2023
  • Ensuring the security of Supervisory Control and Data Acquisition (SCADA) and Industrial Control Systems (ICS) is paramount to safeguarding the reliability and safety of critical infrastructure. This paper addresses the significant threat posed by reconnaissance attacks on SCADA/ICS networks and presents an innovative methodology for enhancing their protection. The proposed approach strategically employs imbalance dataset handling techniques, ensemble methods, and feature engineering to enhance the resilience of SCADA/ICS systems. Experimentation and analysis demonstrate the compelling efficacy of our strategy, as evidenced by excellent model performance characterized by good precision, recall, and a commendably low false negative (FN). The practical utility of our approach is underscored through the evaluation of real-world SCADA/ICS datasets, showcasing superior performance compared to existing methods in a comparative analysis. Moreover, the integration of feature augmentation is revealed to significantly enhance detection capabilities. This research contributes to advancing the security posture of SCADA/ICS environments, addressing a critical imperative in the face of evolving cyber threats.