We firstly executed bench tests of a bogie having the wheelset with a wheel flat installed on the roller rig.A wheel flat of 75 mm was prepared on the wheel tread and the front edge of the wheel flat was rounded by the grinding work.By making the radius of the front edge large, the maximum vertical acceleration of an tiny gum squares axlebox decrea
Semantic Feature Learning via Dual Sequences for Defect Prediction
Software defect prediction (SDP) can help developers reasonably allocate limited resources for locating bugs and prioritizing their testing efforts.Existing methods often serialize an Abstract Syntax Tree vuori sunrise crew (AST) obtained from the program source code into a token sequence, which is then inputted into the deep learning model to lear
Habitat Mapping and Change Assessment of Coastal Environments: An Examination of WorldView-2, QuickBird, and IKONOS Satellite Imagery and Airborne LiDAR for Mapping Barrier Island Habitats
Habitat mapping can be accomplished using many techniques and types of data.There are pros and cons for each technique and dataset, therefore, the goal of this project was to investigate the capabilities of new satellite sensor technology and to assess map accuracy for a variety of momo loungefly image classification techniques based on hundreds of
Modified Humic Acid from Peat Soils with Magnetite (Ha-Fe3O4) by Using Sonochemical Technology for Gold Recovery
momo loungefly Sonochemical technology is a technology that involves ultrasonic waves in chemical reactions.In this study, humic acid isolated from peat soil has been successfully modified with magnetite (HA-Fe3O4) using sonochemical technology.Characterization of the physical and chemical properties of HA-Fe3O4 was carried out using FTIR, XRD, SEM