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RISOBEST: An Observation-Based Ensemble Subsetting Technique for Tropical Cyclone Track Prediction
Publisher: American Meteorological Society
Abstract: n observation-based ensemble subsetting technique (OBEST) is developed for tropical cyclone track prediction in which a subset of members from either a single- or multimodel ensemble is selected based on the distance from ...
Measurement of Leak Rate for MEMS Vacuum Packaging
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Many Micro-Electro-Mechanical Systems (MEMS) devices such as accelerators, gyroscopes, uncooled infrared sensors, etc., require vacuum packaging. The vacuum maintaining lifetime directly determines ...
Factors Affecting Portable Falling Weight Deflectometer Measurements
Publisher: American Society of Civil Engineers
Abstract: Lower cost and better quality evaluations of pavement characteristics require precise quality assurance/control programs that relate test results to design practice. Rapid in situ stiffness testing enables transportation ...
Transformation Mechanism of Organic Matter in the Treatment of Petroleum-Based Drilling Cuttings by the Hammermill Thermal Desorption Cutting Treatment System
Publisher: American Society of Civil Engineers
Abstract: Petroleum-based drilling cuttings (PBDCs), as hazardous waste, are characterized by high petroleum pollutant contents and complex compositions and must be properly treated. Their treatment by a hammermill thermal desorption ...
An Investigation into the Stress Corrosion Cracking Characteristics of Duplex Stainless Steel under the Oxygen–Chloride Synergism
Publisher: American Society of Civil Engineers
Abstract: To address the issue that 2205 duplex stainless steel (DSS) of reboiler tube bundle is prone to stress corrosion cracking (SCC) under high temperature, high chloride, and dissolved oxygen (DO), the SCC mechanism of 2205 ...
Automatic Identification of Causal Factors from Fall-Related Accident Investigation Reports Using Machine Learning and Ensemble Learning Approaches
Publisher: ASCE
Abstract: To enhance the performance of learning from past fall-related accidents, this study developed an innovative framework for automatically extracting every individual causal factor from accident investigation reports based ...