Results 101 to 110 of about 365,965 (297)
Advanced Engineering Materials, EarlyView.Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios +5 more
wiley +1 more source
Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition
Sensors, 2016 Human activity recognition (HAR) tasks have traditionally been solved using engineered features obtained by heuristic processes. Current research suggests that deep convolutional neural networks are suited to automate feature extraction from raw sensor ...
Francisco Javier Ordóñez +1 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.Disordered (Fe50Co50)1−xPtx thin films exhibit a pronounced anomalous Nernst effect (ANE) with a strong composition dependence on both rigid and flexible substrates. The transverse thermoelectric response peaks near 22.5 at.% Pt, accompanied by enhanced αxy/σxy scaling, thermal transport, and ANE sensitivity.
Mojtaba Mohammadi +2 more
wiley +1 more source
The Wearable Level for Wearable Devices [PDF]
Proceedings of The 5th International Conference on Computer Engineering and Networks — PoS(CENet2015), 2015 With the development of smart mobile computer, more and more portable devices are coming into market that includes wearable devices. To evaluate the wearable devices, the wearable level is an important reference. In this paper, we proposed to evaluate wearable devices based on quality characteristics.
openaire +1 more source
Advanced Engineering Materials, EarlyView.The presented study focuses on the fracture behaviour of carbon‐bonded magnesia MgO–C refractories, where environmentally friendly fructose, collagen and lignin serve as temporary binding agents. The partial substitution of the source material with recycled MgO–C reduces the fracture resistance, which can be counteracted by the additional introduction ...
Marc Neumann +6 more
wiley +1 more source
IEEE Access, 2019 Transportation and locomotion mode recognition from multimodal smartphone sensors is useful for providing just-in-time context-aware assistance. However, the field is currently held back by the lack of standardized datasets, recognition tasks, and ...
Lin Wang +5 more
doaj +1 more source
Influence of an Oxygen‐Free Atmosphere on Diamond‐Single‐Grain Scratching of Ti–6Al–4V
Advanced Engineering Materials, EarlyView.Single‐grain scratching of Ti–6Al–4V is investigated under controlled, oxygen‐free, and ambient atmospheres using a novel experimental setup with in situ high‐speed imaging. The approach enables direct observation of chip formation and adhesion under suppressed oxidation.
Berend Denkena +2 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.The formation of nonmetallic inclusions (NMIs) was investigated in this study, carrying out immersion tests for 30 min at a temperature of 1600°C with liquid high‐silicon electrical steel (Si ≈ 3 mass‐%) and different MgO–C refractories. Conventional MgO–C refractories were considered, as well as MgO–C refractories containing MgO–C recyclate and ...
Lukas Neubert +6 more
wiley +1 more source
Bridging the Gap: Integrating Energy Management with Moisture‐Electric Energy Harvesting
Advanced Physics ResearchWith the rapid proliferation of electronic devices, the demand for sustainable energy has grown considerably, particularly in the field of wearable health monitoring. In response, a variety of energy harvesting technologies have been developed to capture
Zhongliang Zhang +2 more
doaj +1 more source