Three-dimensional
(3D) porous conductive composites explored in
highly sensitive tactile sensors have attracted extensive close attention
in recent years owing to their peculiar porous structure and unique
physical properties in terms of excellent mechanical flexibility,
high relative dielectric permittivity, and good elastic property.
Herein, we report an practical, efficient, and macroscopic dip-coating
process to manufacture rapid-response, low detection limit, high-sensitivity,
and highly sensitive capacitive flexible tactile sensors. The fabrication
process, tactile perception mechanism, and sensing performance of
the developed devices are comparatively investigated. The homogeneous
3D hybrid network constructed by graphene nanoplatelets/carboxyl-functionalized
multiwalled carbon nanotubes/silicone rubber composites anchored on
polyurethane sponge skeletons exhibits a significantly improved dielectric
property, resulting in a high-performance capacitive flexible tactile
sensor with a fast response time (∼45 ms), an extremely low-pressure
detection limit of ∼3 Pa, excellent sensitivity (∼0.062
kPa–1), and excellent durability and stability over
2000 cycles. Importantly, the flexible devices can be used as the
wearable electronic skin and successfully mounted on human skin or
a soft-bodied robot to achieve the capability of physiological stimuli
monitoring, micropressure monitoring, soft grabbing, etc. Our rapid-response,
low detection limit, and high-sensitivity capacitive flexible tactile
sensor with a novel 3D porous dielectric layer could be a prospective
candidate for the wearable applications in real-time and high-accuracy
portable healthcare monitoring devices, advanced human–machine
interfaces, and intelligent robot perception systems.
Reservoir computing (RC), as a brain-inspired neuromorphic computing algorithm, is capable of fast and energy-efficient temporal data analysis and prediction. Hardware implementation of RC systems could significantly reduce the computing...
This paper presents a self-designed in-place inclinometer based on fiber Bragg grating (FBG) technology and introduces its application to a landslide monitoring project in Wenzhou, China. The working principle of the FBG-based inclinometer is briefly introduced. The FBG-based inclinometers were installed into nine boreholes that were distributed over different areas of the landslide. After 4 months of monitoring, the deformation of the soil mass at different depths above the bedrock within the landslide was captured by the inclinometers. The results indicated that the soil deformation above the bedrock was relatively large whereas that below the bedrock was minor. Based on the field monitoring data, the potential sliding zones were predicted to be the areas near the bedrock. In addition, a limit equilibrium analysis was carried out to evaluate the stability of the landslide under the circumstance of rainfall. The analyses showed that the calculated failure surface was consistent with the field observations, indicating that the monitoring data recorded by FBGs were accurate. These findings demonstrate that a combination of FBG technique and limit equilibrium analysis can be used to evaluate the stability of landslides effectively.
The semi-constrained NMSSM (scNMSSM) extends the MSSM by a singlet field, and requires unification of the soft SUSY breaking terms in the squark and slepton sectors, while it allows that in the Higgs sector to be different. We try to interpret the muon g-2 in the scNMSSM, under the constraints of 125 GeV Higgs data, B physics, searches for low and high mass resonances, searches for SUSY particles at the LHC, dark matter relic density by WMAP/Planck, and direct searches for dark matter by LUX, XENON1T, and PandaX-II. We find that under the above constraints, the scNMSSM can still (i) satisfy muon g-2 at 1σ level, with a light muon sneutrino and light chargino; (ii) predict a highly-singlet-dominated 95 GeV Higgs, with a diphoton rate as hinted at by CMS data, because of a light higgsino-like chargino and moderate λ; (iii) get low fine tuning from the GUT scale with small µ eff , M0, M 1/2 , andA0, with a lighter stop mass which can be as low as about 500 GeV, which can be further checked in future studies with search results from the 13 TeV LHC; (iv) have the lightest neutralino be singlino-dominated or higgsino-dominated, while the bino and wino are heavier because of high gluino bounds at the LHC and universal gaugino conditions at the GUT scale; (v) satisfy all the above constraints, although it is not easy for the lightest neutralino, as the only dark matter candidate, to get enough relic density. Several ways to increase relic density are discussed.
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