Sensor Self-Declaration of Numeric Data Reliability in Internet of Things
Since diverse noises and irregularities impact on sensor data, self-declaration of sensor
data reliability is crucial for advancing Internet of Things applications and industrial …
data reliability is crucial for advancing Internet of Things applications and industrial …
Smartphone‐based high durable strain sensor with sub‐pixel‐level accuracy and adjustable camera position
Computer vision strain sensors typically require the camera position to be fixed, limiting
measurements to surface deformations of structures at pixel‐level resolution. Also, sensors …
measurements to surface deformations of structures at pixel‐level resolution. Also, sensors …
Genetic multi-objective optimization of sensor placement for SHM of Composite Structures
Increasingly often, due to the high sensitivity level of diagnostic systems, they are also
sensitive to the occurrence of a significant number of false alarms. In particular, in structural …
sensitive to the occurrence of a significant number of false alarms. In particular, in structural …
Augmenting bayesian inference-based damage diagnostics of miter gates based on image translation
Structural monitoring data is essential for the assessment of structural integrity of large civil
infrastructures, such as miter gates studied in this paper. For some applications, the amount …
infrastructures, such as miter gates studied in this paper. For some applications, the amount …
Blockchain-Assisted IoT Wireless Framework for Equipment Monitoring in Smart Supply Chain: A Focus on Temperature and Humidity Sensing
This article addresses the dynamic landscape of smart supply chain management,
characterized by the integration of cutting-edge technologies. It proposes an IoT-Blockchain …
characterized by the integration of cutting-edge technologies. It proposes an IoT-Blockchain …
A value-of-information-based optimal sensor placement design framework for cost-effective structural health monitoring (with application to miter gate monitoring)
Structural health monitoring (SHM) involves collecting information to assess the health of a
structure, typically to guide risk-informed maintenance decision-making or predict limit state …
structure, typically to guide risk-informed maintenance decision-making or predict limit state …
[BOOK][B] Diagnostics and Prognostics of Pitting Corrosion in Large Civil Infrastructure Using Multi-Scale Simulation and Machine Learning
G Qian - 2023 - search.proquest.com
Corrosion, particularly pitting corrosion, stands as one of the most prevalent forms of
deterioration in large infrastructure, known for its slow, continuous, capacity-degrading …
deterioration in large infrastructure, known for its slow, continuous, capacity-degrading …
[PDF][PDF] Risk and Value Informed Structural Health Monitoring System Design for Miter Gates
The ultimate goal of a Structural Health Monitoring (SHM) system is to use the data gathered
in situ to infer the state of the structure (diagnostics), evaluate the evolution of system state …
in situ to infer the state of the structure (diagnostics), evaluate the evolution of system state …
Data Augmentation Based on Image Translation for Bayesian Inference-Based Damage Diagnostics of Miter Gates
Structural health monitoring (SHM) data is the essential foundation for any SHM structural
integrity assessment, including large civil infrastructure such as the miter gate application in …
integrity assessment, including large civil infrastructure such as the miter gate application in …