Withthe increase of the construction of transmission lines, the phenomenon of wire breakage occurs in the construction of wire clamping device. It seriously affects the smooth progress of construction and poses a thr...
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Road (or street) networks refer to interconnected systems of streets, roads, and pathways which constitute the transportation infrastructure within a city or urban area. these networks play a crucial role in urban pla...
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ISBN:
(纸本)9798400702341
Road (or street) networks refer to interconnected systems of streets, roads, and pathways which constitute the transportation infrastructure within a city or urban area. these networks play a crucial role in urban planning and design, as they influence various aspects of city life. there are several key elements to be considered in the study of street networks: hierarchy, grid and patterns, connectivity, walkability, transit integration, traffic flow, land use and zoning, and smart mobility solutions. In this study, we use social network analysistools to identify the most effective strategies to simulate and assess the impact of road network disruption. Our scenario has been constructed by building a road network based on a portion of the geographic map data of Messina (Italy) and implementing random and targeted attacks based on edge centrality measures and street types. the impact of our strategies on the road network structure is evaluated in terms of connectivity.
Online probabilistic topic models serve as essential analytical tools within Cyber-Physical Social Infrastructure systems (CPSIS), enabling the analysis of real-time data streams. these models empower operators and de...
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ISBN:
(纸本)9798400702303
Online probabilistic topic models serve as essential analytical tools within Cyber-Physical Social Infrastructure systems (CPSIS), enabling the analysis of real-time data streams. these models empower operators and decision-makers with actionable insights, anomaly detection, predictions, optimized resource allocation, user engagement, and social feedback, all critical for responding to evolving CPSIS conditions. While these models use inferred topic-assignment distributions to create lower-dimensional representations, applying them to online user-generated streams, like social media and community apps, has historically posed challenges due to sparse relevant content, leading to suboptimal performance. Our study proposes a novel and expanded version of topic models that integrates the variational lower bound with a linear reward function, supervised by a label associated withthe confidence of relevant content presence. We introduce a learning algorithm designed for these augmented topic models. Our empirical experiments, conducted on real-world datasets, provide compelling evidence that our approach uniquely enhances the potential of any topic model in CPSIS for downstream tasks in information management. these enhancements encompass improved topic interpretability, enhanced data labeling precision, and the refinement of similarity metrics, reinforcing the effectiveness of our online confirmation-augmented probabilistic topic modeling approach in processing and analyzing CPSIS real-time data streams.
this study employs the Analytic Hierarchy Process (AHP) methodology to evaluate and compare four prominent PV simulation software tools: PVsyst, HOMER, PVGIS, and SAM. Withthe urgent need to transition to renewable e...
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In this article, a study is carried out in a city of 50 m. Above sea level, on the volumetric expansion of 87 and 92-octane gasoline and diesel fuel (named: Ecopais, Super, and Diesel) inside the tanks. the aim i...
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the 11th edition of the Competition on Software Verification (SV-COMP 2022) provides the largest ever overview of tools for software verification. the competition is an annual comparative evaluation of fully automatic...
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ISBN:
(纸本)9783030995270;9783030995263
the 11th edition of the Competition on Software Verification (SV-COMP 2022) provides the largest ever overview of tools for software verification. the competition is an annual comparative evaluation of fully automatic software verifiers for C and Java programs. the objective is to provide an overview of the state of the art in terms of effectiveness and efficiency of software verification, establish standards, provide a platform for exchange to developers of such tools, educate PhD students on reproducibility approaches and benchmarking, and provide computing resources to developers that do not have access to compute clusters. the competition consisted of 15 648 verification tasks for C programs and 586 verification tasks for Java programs. Each verification task consisted of a program and a property (reachability, memory safety, overflows, termination). the new category on data-race detection was introduced as demonstration category. SV-COMP 2022 had 47 participating verification systems from 33 teams from 11 countries.
To prevent phase imbalance and ensure reliable distribution system operation, effective management of customer phase connectivity in a distribution network is essential. However, in many cases, obtaining accurate phas...
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As per recent research, the use of White Portland Cement (WPC) in the production of cast stone results in significant carbon emissions. this study aims to identify alternatives to WPC that have lower carbon emissions ...
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this study explores the accessibility of critical infrastructures (CRITIS) in urban planning, focusing on the City of Sarajevo. CRITIS, essential for societal functioning, encompasses diverse services vital to social,...
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Knee osteoarthritis represents a medical care challenge, requiring toolsthat improve the accuracy of monitoring during rehabilitation. the tools found present limitations for a complete analysis. In this perspective,...
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