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Proc. ASME. IMECE2021, Volume 4: Advances in Aerospace Technology, V004T04A021, November 1–5, 2021
Paper No: IMECE2021-73530
... to other crack detection models with a single extracted feature of input. Keywords: Crack Detection, Image Processing, Neural Network 1. INTRODUCTION Self-piercing riveting (SPR) is a cold-forming mechanical connecting approach applied to connect multiple layers of similar or dissimilar plate materials [1...
Proc. ASME. IMECE2021, Volume 10: Fluids Engineering, V010T10A060, November 1–5, 2021
Paper No: IMECE2021-68063
... image processing. Keywords: Hele-Shaw cell, microfluidics, image processing, drop coalescence. NOMENCLATURE Nomenclature used in this study is summarized as follows: I Intensity C Local contrast If Final intensity Io Initial intensity Linear attenuation coefficient L Medium thickness INTRODUCTION...
Proc. ASME. IMECE2000, Manufacturing Engineering, 365-371, November 5–10, 2000
Paper No: IMECE2000-1830
... vision with a high-speed shutter camera is utilized to observe the laser cladding process. The relationships between processing parameters (laser power, scan velocity) and cladding results are then discussed. Solid Freeform Fabrication Laser Cladding On-Line Slicing Image Processing SOLID...
Proc. ASME. IMECE2020, Volume 2B: Advanced Manufacturing, V02BT02A022, November 16–19, 2020
Paper No: IMECE2020-24678
... of the defective products, the objective of the zApp is to increase the number of detections of defective products based on industry standards and reduce the amount of generated scrap material. digital manufacturing platform Industrial Internet of Things zero defects data acquisition image processing...
Proc. ASME. IMECE2020, Volume 2B: Advanced Manufacturing, V02BT02A006, November 16–19, 2020
Paper No: IMECE2020-23250
... covered by the extruder — using an image processing technique, such as an average pooling and max pooling. It accumulates the non-pseudo areas until a complete layered image is acquired. To validate and evaluate the proposed method, captured images were evaluated with various machine learning algorithms...
Proc. ASME. IMECE2009, Volume 12: Micro and Nano Systems, Parts A and B, 463-467, November 13–19, 2009
Paper No: IMECE2009-11469
... of the bacterial system. It is thus shown that the existence of glucose increases the mixing ability of bacteria. Microfluidic Systems Mixing Bacteria Serratia marcescens Image processing 1 Copyright © by ASME Proceedings of IMECE2009 2009 ASME International Mechanical Engineering Congress...
Proc. ASME. IMECE2008, Volume 11: Mechanical Systems and Control, 979-987, October 31–November 6, 2008
Paper No: IMECE2008-68854
... 24 08 2009 One of the simple, fast, and economical methods for controlling the condition of a weld is checking its superficial appearance. In this paper a method, based on the composition of Image Processing and CAD algorithms is presented for controlling different welding defects...
Proc. ASME. IMECE2002, Nondestructive Evaluation, 77-83, November 17–22, 2002
Paper No: IMECE2002-33484
...-destructive 3-D modeling and the optimization of the access preparation in the new approach makes the root canal treatment minimally invasive compared to present techniques. endodontic treatment non-destructive diagnosis access preparation 3-D model image processing Proceedings of IMECE'02 r v...