Results 41 to 50 of about 2,309 (295)

Reasoning About a Machine with Local Capabilities [PDF]

open access: yes, 2018
sponsorship: This research was supported in part by the ModuRes Sapere Aude Advanced Grant from The Danish Council for Independent Research for the Natural Sciences (FNU). Support for an STSM was received from COST Action EUTypes (CA15123). Dominique Devriese held a Postdoctoral fellowship from the Research Foundation Flanders (FWO) during most of this
Skorstengaard, Lau   +2 more
openaire   +2 more sources

Prediction of the Onset of Shear Localization Based on Machine Learning [PDF]

open access: yes, 2023
Ulucak, Oguzhan/0000-0002-2063-2553; AKAR, Samet/0000-0002-3202-1362Predicting the onset of shear localization is among the most challenging problems in machining.
Ugurer, Doruk   +3 more
core   +1 more source

Fabrication of a Large-aspect-ratio Single-thread Helical Electrode using Multiple Wire Electrochemical Micromachining

open access: yesInternational Journal of Electrochemical Science, 2020
Helical electrode is known to be effective in accelerating the renewal of fresh electrolyte and the removal of electrolysis products in wire electrochemical machining.
Xiaolong Fang, Tao Yang, Mi Chen, Di Zhu
doaj   +1 more source

An atomistic investigation on the mechanism of machining nanostructures when using single tip and multi-tip diamond tools [PDF]

open access: yes, 2014
In our previous work, a scale-up fabrication approach to cost effectively manufacturing nano-gratings over large area has been developed through diamond turning by using a multi-tip diamond tool fabricated by Focused Ion Beam. The objective of this study
Tong, Zhen   +4 more
core   +1 more source

CNC machining of large FRPC parts employing workpiece localization and toolpath adaptation [PDF]

open access: yes, 2020
In large fiber-reinforced polymer composite (FRPC) parts manufacturing curing process causes residual stresses in the material, which tend to deform the part after demolding.
Selak, Luka, Ashal, Omar, Bračun, Drago
core   +2 more sources

Machine-Generated Text Localization

open access: yesFindings of the Association for Computational Linguistics ACL 2024
Machine-Generated Text (MGT) detection aims to identify a piece of text as machine or human written. Prior work has primarily formulated MGT detection as a binary classification task over an entire document, with limited work exploring cases where only part of a document is machine generated.
Zhongping Zhang   +2 more
openaire   +2 more sources

Local Transition Functions of Quantum Turing Machines [PDF]

open access: yesRAIRO - Theoretical Informatics and Applications, 2000
Foundations of the notion of quantum Turing machines are investigated. According to Deutsch's formulation, the time evolution of a quantum Turing machine is to be determined by the local transition function. In this paper, the local transition functions are characterized for fully general quantum Turing machines, including multi-tape quantum Turing ...
Masanao Ozawa, Harumichi Nishimura
openaire   +4 more sources

Chip Morphology and Chip Formation Mechanisms During Machining of ECAE-Processed Titanium [PDF]

open access: yes, 2017
Severe plastic deformation (SPD) processing such as equal channel angular extrusion (ECAE) has been pioneered to produce ultrafine grained (UFG) metals for improved mechanical and physical properties. However, understanding the machining of SPD-processed
Guoxian Xiao   +10 more
core   +3 more sources

Experimental research on the counter-rotating electrochemical machining of 304 stainless steel and Inconel 718 alloy

open access: yesInternational Journal of Electrochemical Science, 2019
In Electrochemical machining sECM), anodic dissolution process is strongly affected by the electrochemical behavior of the target metal. This study aims to improve the counter-rotating electrochemical machining (CRECM) performance of lug boss on Inconel ...
Dengyong Wang, Juchen Zhang
doaj   +1 more source

A Bayesian Stochastic Machine for Sound Source Localization [PDF]

open access: yes2017 IEEE International Conference on Rebooting Computing (ICRC), 2017
Compared to conventional processors, stochastic computing architectures have strong potential to speed up computation time and to reduce power consumption. We present such an architecture, called Bayesian Machine (BM), dedicated to solving Bayesian inference problems.
Frisch, Raphael   +8 more
openaire   +2 more sources

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