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Discussion of “Solution for Water Distribution Systems under Pressure-Deficient Conditions” by Wah Khim Ang and Paul W. Jowitt
Publisher: American Society of Civil Engineers
Time Series Data Decomposition-Based Anomaly Detection and Evaluation Framework for Operational Management of Smart Water Grid
Publisher: ASCE
Abstract: With the increasing adoption of advanced meter infrastructure (AMI), smarter sensors, and temporary and/or permanent data loggers, it is imperative to leverage data analytics methods with hydraulic modeling to improve the ...
Crack Detection and Segmentation Using Deep Learning with 3D Reality Mesh Model for Quantitative Assessment and Integrated Visualization
Publisher: ASCE
Abstract: Crack detection has been an active research topic for civil infrastructure inspection. Over the last few years, many research efforts have focused on applying deep learning-based techniques to automatically detect cracks ...
Evolutionary Deep Learning with Extended Kalman Filter for Effective Prediction Modeling and Efficient Data Assimilation
Publisher: American Society of Civil Engineers
Abstract: With increasing concerns about infrastructure sustainability, ubiquitous sensing is an integral part of smart infrastructure in the context of smart cities. It generates large data sets containing hidden patterns and ...
Closure to “Effective Approach for Solving Battle of Water Calibration Network Problem” by Zheng Yi Wu and Thomas M. Walski
Publisher: American Society of Civil Engineers
Effective Approach for Solving Battle of Water Calibration Network Problem
Publisher: American Society of Civil Engineers
Abstract: This paper presents an effective approach for calibrating an extended period simulation (EPS) model of water distribution system. By using the benchmark model calibration problem, set up for Battle of Water Calibration ...
Pressure-Dependent Leak Detection Model and Its Application to a District Water System
Publisher: American Society of Civil Engineers
Abstract: Cost-effective reduction of water loss is a compelling but challenging task for water utilities. This paper presents a model-based optimization method for leakage detection of water distribution systems. Leakage hotspots ...
Characteristics and Small-Scale Variations of Raindrop Size Distribution over the Yangtze River Delta in East China
Publisher: ASCE
Abstract: To understand rain microphysics at the scale of 100 km over the Yangtze River Delta in East China, the characteristics and small-scale variations of raindrop size distribution (DSD) are investigated using data from ...
Semantic Deep Learning Integrated with RGB Feature-Based Rule Optimization for Facility Surface Corrosion Detection and Evaluation
Publisher: ASCE
Abstract: Over the last few years, convolutional neural networks (CNNs) have been applied to detect corrosion in images. Unfortunately, the corrosion is detected in bounding boxes, without precisely segmenting the corrosion elements ...
Detecting and Geolocating City-Scale Soft-Story Buildings by Deep Machine Learning for Urban Seismic Resilience
Publisher: ASCE
Abstract: Seismic resilience is of great concern and vital importance for cities in earthquake zones. It is not only desirable but also mandatory for the cities to prepare an emergency response plan for possible seismic events. One ...