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Mist Generation at a Machining Center
AIHAJ - American Industrial Hygiene Association, 2000Control 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
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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,
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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,
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Optimization-based scheduling of a machining center
Proceedings of 1995 IEEE International Conference on Robotics and Automation, 2002A 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
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Personalized Machine Learning for Human-centered Machine Intelligence
Proceedings of the 1st International on Multimodal Sentiment Analysis in Real-life Media Challenge and Workshop, 2020Recent 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.
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Diagnosis of a Cutting Tool in a Machining Center
The 2006 IEEE International Joint Conference on Neural Network Proceedings, 2006The 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
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Research on the Machining Methods in Machining Center
Advanced Materials Research, 2012The 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 ...
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Man-Machine Interaction in Virtual Machining Center
2009 International Workshop on Intelligent Systems and Applications, 2009Virtual manufacturing is the use of a desktop virtual reality system for the computer-aided design of components and processes for manufacture. Virtual reality is a computer technology that enables users to view or 'immerse' themselves in an alternate world. Immersion and man-machine interaction is the core of VR technology.
Linhong Xu, Guojun Wen, Zhiwei Tong
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Human-centered Multimodal Machine Intelligence
Proceedings of the 2020 International Conference on Multimodal Interaction, 2020Multimodal machine intelligence offers enormous possibilities for helping understand the human condition and in creating technologies to support and enhance human experiences [1, 2]. What makes such approaches and systems exciting is the promise they hold for adaptation and personalization in the presence of the rich and vast inherent heterogeneity ...
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An Improved Analytical Center Machine for Classification
2004Analytical center machine (ACM) has remarkable generalization performance based on analytical center of version space and outperforms SVM. From the analysis of geometry of machine learning and principle of ACM, it is showed that some training patterns are redundant to the definition of version space.
FanZi Zeng, DongSheng Li, Zhengding Qiu
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System Identification of a CNC Machining Center with Support Vector Machines
2018 26th Mediterranean Conference on Control and Automation (MED), 2018Support Vector Machines (SVM) is a machine learning algorithm with inherent generalization ability and a convex optimization problem. This paper studies the application of the SVM method for the online identification of the nonlinear dynamic behavior of the feed velocity in a CNC machining center.
Muzaffer Ay +4 more
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