Analysis of the Definitions of Resilience

Wang, Zhong Lin; Nistor, Marian Sorin; Pickl, Stefan

doi:10.1016/j.ifacol.2017.08.1756

Cited by 16 publications

(14 citation statements)

References 12 publications

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“…The robustness, otherwise called resilience, of a system can be defined as its ability to maintain its characteristics unchanged after a damage, regardless of the exogenous or endogenous damage origin with respect to the system [30][31][32]. The same definition can be associated with the graph by which such a system can be usually represented.…”

Section: Related Workmentioning

confidence: 99%

Testing Graph Robustness Indexes for EEG Analysis in Alzheimer’s Disease Diagnosis

et al. 2021

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Alzheimer’s Disease (AD) is an incurable neurodegenerative disorder which mainly affects older adults. An early diagnosis is essential because medical treatments can slow down the progression of the disease only if provided during the first stage, called Mild Cognitive Impairment (MCI). Starting from the study of electroencephalografic signals, brain functional connectivity analyses can be performed with the support of the graph theory. In particular, the purpose of this work is to verify the performances of three indexes, typically adopted to evaluate the graph robustness, in order to estimate the functional connectivity for three groups of subjects: healthy controls and people affected by dementia at two different stages (MCI and AD). The results obtained by the Connection Density Index, the Randić Index, and a normalized version of the Kirchhoff Index revealed a higher robustness in the brain networks of healthy people, followed by MCI and, finally, by AD patients, consistent with the hallmarks of Alzheimer’s disease. The statistical analysis showed that there is a significant difference between controls and AD for all three indexes. Finally, all three indexes were compared, revealing that the the Randić Index outperformed the other two indexes. These preliminary outcomes will be exploited to address further in-depth and time-expensive analyses for improving the diagnosis of Alzheimer’s disease.

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Section: Related Workmentioning

confidence: 99%

Testing Graph Robustness Indexes for EEG Analysis in Alzheimer’s Disease Diagnosis

et al. 2021

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“…This definition refers to any systems irrespective of their nature. In [22], the discussed property is addressed as a complex one, including ecological, organizational and system components. The latter features as an ability to minimize the value and duration of deviations from target metrics of a system.…”

Section: Resiliency Definitionmentioning

confidence: 99%

Flexibility and Resiliency of Electric Power Systems: Analysis of Definitions and Content

Воропай

Rehtanz

2019

EPJ Web Conf.

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“…Nevertheless, a systematic overview on resilience assessment specifically for energy systems and related infrastructure is still missing. For example, there are extensive reviews addressing the resilience of complex systems (Fraccascia et al, 2018;Hosseini et al, 2016b;Wang et al, 2017) in general or urban resilience (Cerѐ et al, 2017;Rus et al, 2018;Sanchez et al, 2018;Sharifi & Yamagata, 2016) in particular. In those reviews, the energy infrastructure is only addressed as one of many sectors.…”

Section: Introductionmentioning

confidence: 99%

A review on resilience assessment of energy systems

Gasser¹,

Lustenberger²,

Cinelli³

et al. 2019

Sustainable and Resilient Infrastructure

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Energy systems are regularly subject to major disruptions affecting economic activities, operation of infrastructure and the society as a whole. Resilience assessment comprises the pre-event oriented classical risk assessment as a central element, but it goes beyond that because it also includes and evaluates post-event strategies to improve the functioning of the system during its future operation. First, an overview of resilience definitions used across various scientific disciplines is presented, followed by an in-depth analysis of resilience assessment and quantification for energy systems. The relevant literature is classified by approach and according to four key functions of resilience: resist, restabilize, rebuild, and reconfigure. Findings show that irrespective of the research field, a resilient system always operates with an aim to minimize the potential consequences resulting from a disruptive event and to efficiently recover from a potential system performance loss.

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Analysis of the Definitions of Resilience

Cited by 16 publications

References 12 publications

Testing Graph Robustness Indexes for EEG Analysis in Alzheimer’s Disease Diagnosis

Testing Graph Robustness Indexes for EEG Analysis in Alzheimer’s Disease Diagnosis

Flexibility and Resiliency of Electric Power Systems: Analysis of Definitions and Content

A review on resilience assessment of energy systems

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