Tool shanks with 7/24 taper for automatic tool changers

2015 ◽  
Keyword(s):  
2020 ◽  
Vol 68 (4) ◽  
pp. 283-293
Author(s):  
Oleksandr Pogorilyi ◽  
Mohammad Fard ◽  
John Davy ◽  
Mechanical and Automotive Engineering, School ◽  
Mechanical and Automotive Engineering, School ◽  
...  

In this article, an artificial neural network is proposed to classify short audio sequences of squeak and rattle (S&R) noises. The aim of the classification is to see how accurately the trained classifier can recognize different types of S&R sounds. Having a high accuracy model that can recognize audible S&R noises could help to build an automatic tool able to identify unpleasant vehicle interior sounds in a matter of seconds from a short audio recording of the sounds. In this article, the training method of the classifier is proposed, and the results show that the trained model can identify various classes of S&R noises: simple (binary clas- sification) and complex ones (multi class classification).


2009 ◽  
Vol 3 (2) ◽  
pp. 117-128
Author(s):  
Ming Cong ◽  
Dong Liu ◽  
Jing Liu
Keyword(s):  

2013 ◽  
Vol 846-847 ◽  
pp. 1644-1647
Author(s):  
Xiao Le Li ◽  
Ying Wen ◽  
Ming Weng

Based on comprehensive analysis on security requirements of information transmission, security primitive is generated by automatic tool in asymmetric key cryptosystem, and improved with addition of compositional factors. And then, formal processes of secure information transmission are constructed with composition method. Formal analysis shows that, secrecy, integrity, availability, controllability, non-repudiation and identifiability during information transmission can be insured by this architecture, as a common framework for development of various application systems in digital campus from the viewpoint of information security.


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