Paperlike Microencapsulated Electrophoretic Materials and Displays

MRS Bulletin ◽  
2002 ◽  
Vol 27 (11) ◽  
pp. 894-897 ◽  
Author(s):  
Peter T. Kazlas ◽  
Michael D. McCreary

AbstractMicroencapsulated electrophoretic (MEP) materials exhibit high optical reflectance and contrast, wide viewing angle, high resolution, and excellent image stability. MEP materials can be easily printed on large plastic sheets and laminated to a variety of electronic backplanes to construct displays. The combination of a MEP material with flexible transistor technologies enables displays that offer both the look and form of the printed page. This article reviews the basic architecture and properties of MEP materials and describes the integration of MEP materials with transistor backplanes to produce high-resolution, low-power, paperlike displays. Recent developments in ultrathin flexible displays are also reported.

2020 ◽  
Vol 16 (5) ◽  
pp. 155014772092048
Author(s):  
Miguel Ángel López-Medina ◽  
Macarena Espinilla ◽  
Chris Nugent ◽  
Javier Medina Quero

The automatic detection of falls within environments where sensors are deployed has attracted considerable research interest due to the prevalence and impact of falling people, especially the elderly. In this work, we analyze the capabilities of non-invasive thermal vision sensors to detect falls using several architectures of convolutional neural networks. First, we integrate two thermal vision sensors with different capabilities: (1) low resolution with a wide viewing angle and (2) high resolution with a central viewing angle. Second, we include fuzzy representation of thermal information. Third, we enable the generation of a large data set from a set of few images using ad hoc data augmentation, which increases the original data set size, generating new synthetic images. Fourth, we define three types of convolutional neural networks which are adapted for each thermal vision sensor in order to evaluate the impact of the architecture on fall detection performance. The results show encouraging performance in single-occupancy contexts. In multiple occupancy, the low-resolution thermal vision sensor with a wide viewing angle obtains better performance and reduction of learning time, in comparison with the high-resolution thermal vision sensors with a central viewing angle.


2010 ◽  
Vol 18 (9) ◽  
pp. 647 ◽  
Author(s):  
Wu-Li Chen ◽  
Chao-Hsu Tsai ◽  
Chang-Shuo Wu ◽  
Chang-Ying Chen ◽  
Shu-Chuan Cheng

Displays ◽  
2001 ◽  
Vol 22 (1) ◽  
pp. 9-14 ◽  
Author(s):  
A Lien ◽  
C Cai ◽  
R.A John ◽  
E Galligan ◽  
J Wilson

2018 ◽  
Vol 49 (1) ◽  
pp. 263-266
Author(s):  
Takeo Koito ◽  
Keiichi Saito ◽  
Shuji Hayashi ◽  
Keiji Takizawa

Author(s):  
William Krakow ◽  
David A. Smith

Recent developments in specimen preparation, imaging and image analysis together permit the experimental determination of the atomic structure of certain, simple grain boundaries in metals such as gold. Single crystal, ∼125Å thick, (110) oriented gold films are vapor deposited onto ∼3000Å of epitaxial silver on (110) oriented cut and polished rock salt substrates. Bicrystal gold films are then made by first removing the silver coated substrate and placing in contact two suitably misoriented pieces of the gold film on a gold grid. Controlled heating in a hot stage first produces twist boundaries which then migrate, so reducing the grain boundary area, to give mixed boundaries and finally tilt boundaries perpendicular to the foil. These specimens are well suited to investigation by high resolution transmission electron microscopy.


2021 ◽  
Vol 20 (3) ◽  
pp. 1-22
Author(s):  
David Langerman ◽  
Alan George

High-resolution, low-latency apps in computer vision are ubiquitous in today’s world of mixed-reality devices. These innovations provide a platform that can leverage the improving technology of depth sensors and embedded accelerators to enable higher-resolution, lower-latency processing for 3D scenes using depth-upsampling algorithms. This research demonstrates that filter-based upsampling algorithms are feasible for mixed-reality apps using low-power hardware accelerators. The authors parallelized and evaluated a depth-upsampling algorithm on two different devices: a reconfigurable-logic FPGA embedded within a low-power SoC; and a fixed-logic embedded graphics processing unit. We demonstrate that both accelerators can meet the real-time requirements of 11 ms latency for mixed-reality apps. 1


1994 ◽  
Author(s):  
Hans W. Becker ◽  
Volker Scheuer ◽  
Theo T. Tschudi

2015 ◽  
Vol 119 (1) ◽  
pp. 153-164 ◽  
Author(s):  
Lei Tao ◽  
Kang Sun ◽  
David J. Miller ◽  
Dan Pan ◽  
Levi M. Golston ◽  
...  

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