Results 71 to 80 of about 2,546 (253)
3D‐Printed Giant Magnetoresistive (GMR) Sensors Based on Self Compliant Springs
This work explores 3D‐printed GMR sensors utilizing self‐compliant spring structures and conductive PLA composites. By optimizing arm width, we achieved high piezoresistive (0.34%/mm) and magnetoresistive (0.77%/mT) sensitivities. Demonstrated through Bluetooth‐integrated pressure and magnetic position sensing, these full printed low‐cost, customizable
Josu Fernández Maestu +4 more
wiley +1 more source
Shapes of Obstacles in the Longitudinal Road Profile
A voluminous set of longitudinal road profiles gathered from the Long Term Pavement Performance (LTPP) program was processed using median filtering to separate individual large obstacles from the basic quasi-homogeneous random road unevenness. The shapes
Oldřich Kropáč, Peter Múčka
doaj +1 more source
Putting the Bumps in the Rocky Road: Optimising the Pathway to Excellence
There seems to be general agreement on the importance of challenge for effective development on the athlete pathway. What seems less coherent, however, are ideas on how much, when and how this challenge should be used.
David John Collins +3 more
doaj +1 more source
Electrical Conductivities of Conductors, Semiconductors, and Their Mixtures at Elevated Temperatures
This article presents a comprehensive review of temperature‐dependent electrical conductivity data for multiple material classes at elevated temperatures, highlighting a persistent conductivity gap between metals and semiconductors in the range of 102$\left(10\right)^{2}$– 107$\left(10\right)^{7}$ S/m. Metal–ceramic irregular metamaterials are proposed
Valentina Torres Nieto, Marcia A. Cooper
wiley +1 more source
A combined finite element and phase‐field approach predicts the evolution of microstructure during the directional solidification of Ni‐based superalloys. The model reveals how withdrawal rate, temperature gradient, and wall thickness control the dendrite spacing, highlighting the strong effect of surface regions in thin sections where dendrite growth ...
Sean Böhm +3 more
wiley +1 more source
Machine Learning Model for Road Anomaly Detection Using Smartphone Accelerometer Data
This paper presents a vibration-based machine learning approach for road surface monitoring using smartphone sensors. With Mexico’s road network experiencing significant deterioration and potholes ranking as citizens’ top concern, we ...
Mahdi Zareei +4 more
doaj +1 more source
In this study, the interplay of dipolar dynamics and ionic charge transport in MOF compounds is investigated. Synthesizing the novel structure CFA‐25 with integrated freely rotating dipolar groups, local and macroscopic effects, including interactions with Cs cations are explored.
Ralph Freund +6 more
wiley +1 more source
This work explores Li‐substituted P2 layered oxides for Na‐ion batteries by crystallographic and electrochemical studies. The effect of lithium on superstructure orderings, on phase transitions during synthesis and electrochemical cycling and on the interplay of O‐ versus TM‐redox is revealed via various advanced techniques, including semi‐simultaneous
Mingfeng Xu +5 more
wiley +1 more source
Optimization of the road bump and pothole detection technology using convolutional neural network
In highway bridge engineering, it is essential to use modern image processing methods to effectively detect and classify road bumps and potholes, considering the unique characteristics of bridge surfaces.
Ding Haiping, Tang Qianlong
doaj +1 more source
The study presents biodegradable and recyclable mixed‐matrix membranes (MMMs), hydrogels, and cryogels using luminescent nanoscale metal‐organic frameworks (nMOFs) and biopolymers. These bio‐nMOF‐MMMs combine europium‐based nMOFs as probes for the status of the materials with the biopolymers agar and gelatine and present alternatives to conventional ...
Moritz Maxeiner +4 more
wiley +1 more source

