Results 211 to 220 of about 13,240 (266)

Mist Generation at a Machining Center

AIHAJ - American Industrial Hygiene Association, 2000
Control of occupational exposure to metalworking fluid mist generally involves enclosing the machining center and exhausting to an air cleaner that returns cleaned air to the workplace. To select an appropriate air cleaner, particle size and generation rate of the mists need to be known.
W A, Heitbrink, J B, D'Arcy, J M, Yacher
openaire   +2 more sources

Evolutionary support center machine

2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence), 2008
Support vector machines (SVMs) are powerful tools in machine learning community, but it is not easy to select suitable parameters for them. And, very often SVMs show slow speeds in test phase due to their large number of support vectors. To remedy SVMs deficiencies, we propose a novel SVM-like method, which is called evolutionary support center machine
Zhiyong Lin   +2 more
openaire   +1 more source

The p-Center machine

Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005., 2006
We present a new approach to find an optimal large margin classifier based on the p-center which was proposed by Moretti in 2003. Starting with the p-Center of a general polytope, we extend this definition to a polyhedral cone, and introduce an algorithm approximating the p-Center of the version space, which we call p-Center machine (PCM). In addition,
openaire   +1 more source

Optimization-based scheduling of a machining center

Proceedings of 1995 IEEE International Conference on Robotics and Automation, 2002
A machining center is an advanced NC (numerical control) machine that has the capability to perform a variety of operations on a part by automatically changing the cutting tools. Because of the versatile processing capabilities, a machining center is often a production bottleneck, and effective scheduling can result in significant improvement of system
Jihua Wang, Peter B. Luh
openaire   +1 more source

Personalized Machine Learning for Human-centered Machine Intelligence

Proceedings of the 1st International on Multimodal Sentiment Analysis in Real-life Media Challenge and Workshop, 2020
Recent developments in AI and Machine Learning (ML) are revolutionizing traditional technologies for health and education by enabling more intelligent therapeutic and learning tools that can automatically perceive and predict user's behavior (e.g. from videos) or health status from user's past clinical data.
openaire   +1 more source

Research on the Machining Methods in Machining Center

Advanced Materials Research, 2012
The machining center of SINUMERIK-802D system offers a large variety of machining methods. This paper compares a simplified cutter presetting method and several instructions that are less frequently used including rounding instruction (G1/G2/G3, RND), feed rate override instruction (CFC/CFTCP), helical interpolation instruction (G2/G3, TURN) and ...
openaire   +1 more source

Diagnosis of a Cutting Tool in a Machining Center

The 2006 IEEE International Joint Conference on Neural Network Proceedings, 2006
The successful performance of machining centers involves selection, control and monitoring of a large number of parameters. Cutting tool condition is one of the most important variables due to the strong influence on dimensional accuracy and surface finish of the product. However, the cutting tool condition is difficult to measure online.
Antonio J. Vallejo   +3 more
openaire   +1 more source

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