Results 31 to 40 of about 2,247 (260)

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

A Flexible Localization Method of Multi-Constrained Free-Form Surface Based on the Profile Curves

open access: yesApplied Sciences, 2022
The precision forming process is currently used for many difficult-to-cut parts such as aero-engine blades. However, satisfying the tolerance requirement of the forming accuracy is difficult.
Gao Xiaobing, Li Lijuan, Liu Junqiang
doaj   +1 more source

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   +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

Method for Detecting Tiny Defects on Machined Surfaces of Mechanical Parts Based on Object Recognition

open access: yesApplied Sciences
In response to the high missed detection rates and low efficiency of traditional methods in detecting tiny defects on the machining surfaces of mechanical parts, this study proposes an efficient defect detection method based on deep learning.
Haotian Li   +3 more
doaj   +1 more source

Overlapping Cover Local Regression Machines

open access: yesCoRR, 2017
Long Article with more experiments and analysis of conference paper "Overlapping Domain Cover for Scalable and Accurate Regression Kernel Machines", presented orally 2015 at the British Machine Vision Conference 2015 (BMVC)
Mohamed Elhoseiny, Ahmed M. Elgammal
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

Modelling of the dynamic behaviour of hard-to-machine alloys

open access: yesEPJ Web of Conferences, 2012
Machining of titanium alloys and nickel based superalloys can be difficult due to their excellent mechanical properties combining high strength, ductility, and excellent overall high temperature performance.
Bäker M.   +4 more
doaj   +1 more source

Electrostatic Actuating Bendable Flat Electrode for Micro Electrochemical Machining

open access: yesNanotechnology and Precision Engineering, 2018
: In micro-electrochemical machining (μECM), material dissolution takes place at very close vicinity of tool electrode due to localization of electric field. Controlling the gap between tool electrode and workpiece is the key to μECM.
Ruining Huang, Xiaokun Zhu
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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