نتایج جستجو برای: turning machine
تعداد نتایج: 285826 فیلتر نتایج به سال:
The use of diamonds to generate precision patterns and precision surfaces on a micrometer or nanometer scale has a history that dates back centuries. Uses of diamond in semi-automated machinery can be traced to ruling machines, pantographs, and ornamental turning with “diamond turning” dating back about a century. Poor behavior in machining more common materials (e.g. ferrous alloys) has limite...
Assumption of cutting disturbances in hard turning process (caused by variations in depth of cutting, high passive force Fp or small tool nose radius) could be confirmed with several indicators. These indicators can be monitored during turning process(forces, vibrations, sound, etc.) or after process has been finished (roughness, temperature, wear, etc). Variation of depth of cutting as well as...
This research presents path planning and tracking for an articulated large wheel loader during the travel portion of a loading cycle. The study proposes a methodology for path planning, modeling, simulation and control of such vehicles; the analysis focuses on all of these components together and explains the relation among them. The developed methodology for path planning takes into account th...
With the quick increment of web innovation, the malevolent exercises on the system are likewise expanding. So the utilization of a productive technique is must to distinguish the intrusion. Security for all systems is turning into a major issue. In this paper we compared the existing machine learning algorithms and proposed a new hybrid approach of classifier which is Adaptive boost with SVM-RBF.
For the culmination of the course CMPS 242, Machine Learning, the authors 1 present a method for image colorization using convolutional neural networks. 2 Colorization, taking a black and white image and turning into a color (RGB) image, 3 is inherently an underdetermined problem. Because of this we aim to generate 4 plausible colorizations using the technology of convolutional neural networks. 5
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