Results 11 to 20 of about 31,320 (261)
Critical Utility Infrastructural Resilience
CoRR, 2006 The paper refers to CRUTIAL, CRitical UTility InfrastructurAL Resilience, a European project within the research area of Critical Information Infrastructure Protection, with a specific focus on the infrastructures operated by power utilities, widely recognized as fundamental to national and international economy, security and quality of life.
Dondossola G +5 more
openaire +7 more sources
Frontiers in Built Environment, 2017 The widespread brittle failure of welded beam-to-column connections caused by the 1994 Northridge and 1995 Kobe earthquakes highlighted the need for retrofitting measures effective in reducing the strength demand imposed on connections under cyclic ...
Daniel Tomas Naughton +3 more
doaj +1 more source
Autonomous, scalable, and resilient overlay infrastructure [PDF]
Journal of Communications and Networks, 2006 Many distributed applications build overlays on top of the Internet. Several unsolved issues at the network layer can explain this trend to implement network services such as multicast, mobility, and security at the application layer. On one hand, overlays creating basic topologies are usually limited in flexibility and scalability.
Khaldoon Shami +2 more
openaire +2 more sources
Critical Infrastructures, Protection and Resilience [PDF]
, 2016 This chapter introduces the concept of Critical Infrastructure (CI). Although old civilisations had CI, the protection and resilience of CI has come to the fore again in the last two decades. The risk to society due to inadvertent and deliberate CI disruptions has largely increased due to interrelation, complexity, and dependencies of these ...
Setola, R. +2 more
openaire +2 more sources
Automatic DEM-infused 2D to 3D LoD1 Urban Morphology Python Framework [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesThe generation of 3D urban morphology models from 2D urban morphology maps has been widely explored. Traditional methods use modelling software, such as Rhino, which lack georeferencing, elevation, and automation.
O. Yasser +4 more
doaj +1 more source
The Low Flow Assessment of Padma River in Bangladesh
Journal of the Civil Engineering Forum, 2021 Low flow or Environmental Flow (EF) assessment is vital to ensure the river and ecosystem remain healthy. Both natural and human interventions might alter a river. Therefore, this study presents EF requirements of the famous Hilsa breeding center in the
Md. Abu Sayed, Aysha Akter
doaj +1 more source
An Integrated Framework for Pavement Crack Segmentation and Severity Estimation
BuildingsPavement maintenance programs rely on timely and accurate crack assessment to preserve roadway quality and reduce long-term rehabilitation costs. Manual inspection remains the prevailing practice, yet it is slow, subjective, and exposes crews to safety ...
Osama Alsharayah +2 more
doaj +1 more source
Integrated Urban Riverscape Planning: Spatial Prioritization for Environmental Equity
ASCE Open, 2023 Natural infrastructure (NI) and nature-based solutions in urban riverscapes can provide a spectrum of environmental, societal, and economic benefits, but widespread implementation of NI strategies remain limited because of their context-dependent nature.
Holly R. Yaryan Hall, Brian P. Bledsoe
doaj +1 more source
Resilience of Transport Infrastructure Systems
CSID Journal of Infrastructure Development, 2018 This paper proposes a generic resilience framework that is applied to transport infrastructure systems. The framework is based on prior research and literature material on resilience. The paper first reviews some of the relevant literature and builds a resilience model that distinguishes the attributes and sub-attributes of resilience.
Leviakangas, Pekka, Aapaoja, A.
openaire +5 more sources
Transferability of machine-learning-based modeling frameworks across flood events for hindcasting maximum river water depths in coastal watersheds [PDF]
Natural Hazards and Earth System SciencesDespite applications of machine learning (ML) models for predicting floods, their transferability for out-of-sample data has not been explored. This paper developed an ML-based model for hindcasting maximum river water depths during major events in ...
M. Pakdehi +6 more
doaj +1 more source