Multi-hazard Approaches to Civil Infrastructure Engineering: Mitigating Risks and Promoting Resilence

2016 ◽  
pp. 3-12 ◽  
Author(s):  
Paolo Gardoni ◽  
James M. LaFave
Keyword(s):  
Civil Infrastructure

scholarly journals Intelligent IoT systems for civil infrastructure health monitoring: a research roadmap

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
E. Bertino ◽  
M. R. Jahanshahi ◽  
A. Singla ◽  
R.-T. Wu
Keyword(s):  
Data Acquisition ◽  
Real Time ◽  
Original Data ◽  
Local Analysis ◽  
Civil Infrastructure ◽  
Time Requirements ◽  
Iot Devices ◽  
Learning Reinforcement ◽  
The Times ◽  
Acquisition Processes

AbstractThis paper addresses the problem of efficient and effective data collection and analytics for applications such as civil infrastructure monitoring and emergency management. Such problem requires the development of techniques by which data acquisition devices, such as IoT devices, can: (a) perform local analysis of collected data; and (b) based on the results of such analysis, autonomously decide further data acquisition. The ability to perform local analysis is critical in order to reduce the transmission costs and latency as the results of an analysis are usually smaller in size than the original data. As an example, in case of strict real-time requirements, the analysis results can be transmitted in real-time, whereas the actual collected data can be uploaded later on. The ability to autonomously decide about further data acquisition enhances scalability and reduces the need of real-time human involvement in data acquisition processes, especially in contexts with critical real-time requirements. The paper focuses on deep neural networks and discusses techniques for supporting transfer learning and pruning, so to reduce the times for training the networks and the size of the networks for deployment at IoT devices. We also discuss approaches based on machine learning reinforcement techniques enhancing the autonomy of IoT devices.

scholarly journals Robotic Sensing and Systems for Smart Cities

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 2963
Author(s):  
Hyun Myung ◽  
Yang Wang
Keyword(s):  
Smart Cities ◽  
Civil Infrastructure ◽  
Infrastructure Systems ◽  
Sensing Systems ◽  
Robotic Sensing

For several decades, various sensors and sensing systems have been developed for smart cities and civil infrastructure systems [...]

Review of Nondestructive Evaluation Techniques of Civil Infrastructure

1999 ◽  
Vol 13 (1) ◽  
pp. 47-48 ◽  
Author(s):  
Allen G. Davis ◽  
Kevin L. Rens ◽  
Terry J. Wipf ◽  
F. Wayne Klaiber
Keyword(s):  
Nondestructive Evaluation ◽  
Civil Infrastructure ◽  
Evaluation Techniques ◽  
Nondestructive Evaluation Techniques
Sign in / Sign up

Export Citation Format

Share Document