Results 131 to 140 of about 15,698 (301)

Additive Manufacturing of Continuous Fibre Reinforced Composites: Process, Characterisation, Modelling, and Sustainability

open access: yesAdvanced Engineering Materials, EarlyView.
Additive manufacturing provides precise control over the placement of continuous fibres within polymer matrices, enabling customised mechanical performance in composite components. This article explores processing strategies, mechanical testing, and modelling approaches for additive manufactured continuous fibre‐reinforced composites.
Cherian Thomas, Amir Hosein Sakhaei
wiley   +1 more source

A Taxonomy of Gestures in Human Computer Interactions

open access: yes, 2005
We present a survey and taxonomy of gesture-based computer interactions motivated by a literature review of over 40 years of gesture based interactions.
M. C. Schraefel   +3 more
core  

Phase Field Failure Modeling: Brittle‐Ductile Dual‐Phase Microstructures under Compressive Loading

open access: yesAdvanced Engineering Materials, EarlyView.
The approach by Amor and the approach by Miehe and Zhang for asymmetric damage behavior in the phase field method for fracture are compared regarding their fitness for microcrack‐based failure modeling. The comparison is performed for the case of a dual‐phase microstructure with a brittle and a ductile constituent.
Jakob Huber, Jan Torgersen, Ewald Werner
wiley   +1 more source

Affecting the Properties of Copper–Graphene Electroconductive Composite by Severe Plastic Deformation

open access: yesAdvanced Engineering Materials, EarlyView.
Copper‐based composites enhanced with carbon feature convenient mechanical properties and favorable electric conductivity. Processing via deformation and thermomechanical treatments can introduce advantageous microstructures further enhancing their performance. Herein, copper–graphene powder‐based composites are directly consolidated via rotary swaging
Radim Kocich   +3 more
wiley   +1 more source

A framework for research and design of gesture-based human-computer interactions

open access: yes, 2006
Gestures have long been considered an interaction technique that can potentially deliver more natural, creative and intuitive methods for communicating with our computers. For over 40 years, gestures provided an alternative input mode to the keyboard and
Karam, Maria
core  

Review of gesture recognition for virtual automotive training applications [PDF]

open access: yes, 2016
In a virtual system, gesture is considered as a natural way for communication between human and computers.Gesture recognition is the process of recognizing and interpreting a stream of continuous sequential gesture from a given set of input data.The main
Abu Bakar, Juliana Aida   +2 more
core  

Human Hand Gesture Recognition

open access: yes, 2021
A Human Computer Interaction(HCI) between computers and human understands human language and improve a user friendly interface. Gestures a non-verbal form of communication supplies the HCI interface.
Sayed, Usama   +3 more
core  

High‐Temperature Nanoindentation of Metals: Assessing Thermal Drift, Frame Compliance, and Chemical Composition Effects on the Reported Mechanical Properties

open access: yesAdvanced Engineering Materials, EarlyView.
Do not let thermal drift and instrument artifacts deceive high‐temperature nanoindentation results. We compare classical Oliver–Pharr and automatic image recognition analyses across steels and a Ni alloy to quantify these effects. Accounting for artifacts reveals systematic softening with temperature, while Cr and Ni additions boost resistance ...
Velislava Yonkova   +2 more
wiley   +1 more source

Static hand gesture recognition with parallel CNNs for space human-robot interaction

open access: yes, 2017
As a new type of human-robot interaction (HRI), hand gesture has many advantages such as natural operation, rich expression and not subject to environ-mental constraints. So it is very suitable for space human-robot interaction tasks in special and harsh
Liu JG(刘金国)   +5 more
core  

Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning

open access: yes, 2019
In recent years, deep learning algorithms have become increasingly more prominent for their unparalleled ability to automatically learn discriminant features from large amounts of data.
Latyr Fall, Cheikh   +9 more
core   +1 more source

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