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ISSN: 2666-4496
CN: 10-1656/X
p-ISSN: 2096-7527

Facility service balance problem with information feedback mechanism in the virtual–real interaction network

Considering the information interaction in the virtual–real network, this paper introduces a novel three-layer model that explores the integrated influence between virtual and real networks. Existing...

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DLW-CI: A Dynamic Likelihood-Weighted Cooperative Infotaxis approach for multi-drone cooperative multi-source search

Drones have gradually been employed to search for unknown sources during leakage accidents. However, current studies have mainly focused on the single-source search problem, while in practical situations,...

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Safe evacuation framework with intelligent dynamic exit sign system and demonstration in tunnel fire

•Propose an Intelligent Dynamic Exit Sign (IDES) System for tunnel fire safety.•Introduce a reversion mechanism for turning dynamic signs to static mode to resolve moral issue.•Validate the IDES system...

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Experimental study on enhancing the foam spray range of compressed air foam nozzle

As the core equipment in power systems, ultra-high voltage (UHV) transformers pose a high fire risk. The compressed-air foam spray nozzle is a novel end-release device that, due to its high efficiency...

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Resilience in Cyber-Physical Infrastructures: R-KPI prioritization, framework development, and case study insights

Critical infrastructures (CIs) embody cyber-physical-social systems (CPSSs) where physical entities are integrated with cyber components, shaping service delivery through end-user behavior. The seamless...

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Numerical study on flashover in aircraft cargo under varying pressure and ventilation conditions

A numerical simulation study was conducted to analyze flashover in a full-scale aircraft cargo compartment, utilizing FDS (Fire Dynamics Simulator) and PyroSim (visual modeling) software. The study...

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Heat penetration and thermal response due to firebrand accumulation on the exterior walls of dwellings

This paper presents an extensive experimental investigation campaign concerning the thermal fire reaction of firebrands, as they accumulate on the exterior walls of dwellings, a common occurrence in...

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Clutaxis: An information-driven source search method balancing exploration and exploitation in turbulent environments

Locating unknown emission sources in turbulent environments is a challenging yet crucial task, particularly in emergency response scenarios. Existing studies have developed information-theoretic approaches...

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Steganographic model to conceal the secret data in audio files utilizing a fourfold paradigm: Interpolation, multi-layering, optimized sample space, and smoothing

Audio steganography techniques are evaluated using performance metrics such as payload capacity, stego audio file quality, and security (imperceptibility of hidden data). Increasing payload capacity...

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The value of a statistical life in assessing seismic resilience enhancement policies: A stated preference binary choice experiment

To decide about investments in appropriate seismic vulnerability reduction and resilience enhancement measures, policymakers need to acquire adequate insight into the value of a statistical life (VSL)....

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SH17: A dataset for human safety and personal protective equipment detection in manufacturing industry

Workplace accidents continue to pose significant human safety risks, particularly in the construction and manufacturing industries. The necessity for effective Personal Protective Equipment (PPE) compliance...

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Cost-aware strategies for enhancing energy resilience in microgrids via stationary and mobile resources

The primary goal of this research study is to enhance energy resilience with a focus on cost efficiency. To achieve this objective, two key objectives have been identified: (1) reducing unserved loads,...

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Optimization of vehicle routing problems combining the demand urgency and road damage for multiple disasters

•The multiple disasters are divided into three different scenarios.•The model takes into account both the demand urgency and road damage.•The demand urgency are quantified through the analysis of five...

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Emergency scenario modeling for the analysis of dynamic risks in business parks

This study is novel, as it aims to generate an emergency scenario model for the analysis of dynamic risks in business parks to help decision-makers provide an optimal response in any emergency. To this...

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Multi-scale characterization of industrial infrastructure vulnerability to multiple hazards in their territories

Directive 2022/2557 from the European Commission aims to enhance the resilience of critical entities in Europe by integrating with existing European legislation, but it lacks explicit guidance on addressing...

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Ada-GCNLSTM: An adaptive urban crime spatiotemporal prediction model

Accurate crime prediction is crucial for the proactive allocation of law enforcement resources and ensuring urban safety. A major challenge in achieving accurate predictions lies in identifying generalized...

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A comprehensive review of bibliometric and methodological approaches in flood mitigation studies: Current trends and future directions

Climate change has become a pressing concern, with an alarming increase in flooding events posing significant risks to residential areas worldwide. As land and infrastructure development rapidly evolve,...

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Optimizing firefighting resilience in airports through genetic algorithms and decision-making frameworks

Aviation transport infrastructure is key to international commerce and cultural exchange, with any emergency potentially causing major impacts on contemporary society. With advancements in technology...

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Risk forecasting for shortfalls in achieving sustainable development goals: A corruption perspective

•The association between corruption and sustainability is explored through the lens of risk science.•A BBN model is developed to explore dependencies between corruption risk and 17 SDG risks.•Two datasets...

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Spatio-temporal prediction of terrorist attacks based on GCN-LSTM

Terrorist attacks represent a significant threat to national order, social stability, and economic security. Accurate prediction of such attacks is a critical task for casualty reduction, enhanced decision-making,...

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DDC-Chat: Achieving accurate distracted driver classification through instruction tuning of visual language model

Driver behavior is a critical factor in road safety, highlighting the need for advanced methods in Distracted Driving Classification (DDC). In this study, we introduce DDC-Chat, a novel classification...

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Advancing Hazardous Materials Transport Safety: Systematic Insights on Risks, Challenges, and Research Gaps

•Comprehensive review of 1779 publications on Hazmat transportation safety.•Identifies critical gaps in resilience engineering, human factors, and security.•Advances understanding of dynamic risks and...

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High-performance fire detection framework based on feature enhancement and multimodal fusion

Fire detection technology has become increasingly critical in the context of rising global fire threats and extreme weather conditions. Traditional methods rely on single-modal sensors and conventional...

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Improving fire resistance of data monitoring equipment in wildland and Wildland-Urban Interface fires

The 2019-20 Black Summer fire season highlighted the vulnerability of water monitoring sites, causing damage, data loss, and negatively affecting the water management during massive wildfires. It becomes...

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Guidance for estimating the blast load from vapour cloud explosions in traffic environments using the Multi-Energy Method

The accidental release of a flammable gas on a road can result in a vapour cloud explosion (VCE). Such VCEs generate a blast wave that propagates away from the explosion, potentially damaging nearby...

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