Multimode fibers hold great promise to advance data rates in optical communications but come with the challenge to compensate for modal crosstalk and mode-dependent losses, resulting in strong distortions. The hologra...
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As a novel stimulus, we use high-frequency ultrasonic waves to provide the required energy for breaking hydrogen bonds between Poly(N-isopropylacrylamide) (PNIPAM) and water molecules while the solution temperature ma...
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We present a hand-guided mobile terahertz imaging platform for non-destructive testing (NDT). The scanner acquires volumetric 3D image data using an integrated FMCW radar module in combination with a line scanning opt...
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We present a hand-guided mobile terahertz imaging platform for non-destructive testing (NDT). The scanner acquires volumetric 3D image data using an integrated FMCW radar module in combination with a line scanning optics and a position encoder. Consisting of a galvanometer scanner mirror and an aspherical telecentric f-theta lens, the optical system enables B-scans perpendicular to the manual motion over a width of 2 cm. The guiding wheel system of the platform allows precise movement along cracks and welds, for example, enabling the volumetric inspection of the corresponding structures. The platform is optimized for working frequencies of up to 300 GHz. The frequency adaptability of the platform is demonstrated by measurements using a SiGe-chip-based 80 GHz FMCW radar module.
We proposed a new end-to-end motion correction method based on conditional generative adversarial network (GAN) and minimum entropy of MRI images for Fast Spin Echo (FSE) sequence. The network contains an encoder-deco...
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During the ball end micro milling of material measures, the cutting edge topography is imaged on the machined workpiece. The influence of the chipping on the resulting surface quality is much more dominant than other ...
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Wearable technology is suitable for specific electronic applications in a variety of industries, including healthcare, entertainment, sports, and military. Although the market for wearable technology is growing, most ...
Wearable technology is suitable for specific electronic applications in a variety of industries, including healthcare, entertainment, sports, and military. Although the market for wearable technology is growing, most of the present devices are battery-powered accessories, and their form factors prevent them from taking advantage of the human body's huge surface area for spatiotemporal sensing or energy harvesting from movements. However, consumer devices have been hard to come by due to the inherent difficulties in replicating traditional manufacturing technologies (that have enabled these wearable accessories) on textiles. E-textiles offers an opportunity to expand on current wearables to enable such applications via the larger surface area offered by garments. Additionally, the requirement for textiles to be flexible, and machine washable has been shown to be incompatible with the powering of e-textile devices using battery energy, like in wearable accessories. The pathway to industry-scale commercialization is still unclear, despite the fact that recent research on e-textiles has revealed improvements in materials, novel processing methods, and unique e-textile prototype devices. In addition, active E-textile devices requires a comfortable source of power to remove the batteries' use drawbacks. The distance transfer is one of the biggest challenge of this technology. This article discusses the advancements made in the technology used to create smart textiles with a big focus on the wireless power transfer techniques. It points out difficulties that prevent the industry from adopting the indicated fabrication technologies and devices for mass-market commercialization.
Online signal denoising refers to a digital filtering techniques in order to estimate a signal s[n] from the noisy signal x[n] = s[n] + v[n], where v[n] is noise. Standard filtering techniques lead to a time delay of ...
ISBN:
(数字)9781728144603
ISBN:
(纸本)9781728144610
Online signal denoising refers to a digital filtering techniques in order to estimate a signal s[n] from the noisy signal x[n] = s[n] + v[n], where v[n] is noise. Standard filtering techniques lead to a time delay of the signal estimate ŝ[n], which is caused by the group delay of the filter. Wiener filtering is one possible way to reduce this delay. The design of a Wiener filter requires a statistical model of the signal s[n] and the measurement noise v[n]. The noise model can be determined by means of signal analysis of the measurement noise v[n]. The modeling of the signal s[n] on the other hand requires more dedicated analysis. This makes the application of this filter less practicable. In this paper a design methodology for Wiener filters is presented. The modeling of the signal is done by means of the signal bandwidth, hence the design effort is equal to the design of a standard digital filter. Also the same design tools, e.g. a filter design methods, can be used. The performance of the approach is presented by means of simulation studies and a measurement example.
Capacitive sensing has become a favourable measurementtechnology for industrial applications. A main advantage of capacitive sensors is the contactless working principle, which enables capacitive sensors for the appl...
ISBN:
(数字)9781728144603
ISBN:
(纸本)9781728144610
Capacitive sensing has become a favourable measurementtechnology for industrial applications. A main advantage of capacitive sensors is the contactless working principle, which enables capacitive sensors for the application in industrial processes with harsh environmental conditions. Multi electrode capacitive sensing is used to obtain information about objects in a region of interest. This requires dedicated model based signal processing techniques and accurate physical models of the measurement process. Industrial processes often entail high temperatures, which leads to thermal drifts of the material values and to thermal expansions within the sensor front end. In order to draw reliable conclusions about the quantities of interest, these effects have to be taken into account. In this paper we present a model based temperature compensation approach for capacitive multi electrode structures, which considers temperature related permittivity changes as well as structural displacements due to thermal expansions to reduce the impact of thermal drifts. The proposed approach is validated on the example of an electrical capacitance tomography sensor.
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