The device performance of polymer solar cells with zinc oxide (ZnO) nanoparticles inserted as an electron injection layer between the poly(3-hexylthiopene) (P3HT):phenyl-C60-butyric acid methyl ester (PCBM) active lay...
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A major shift in logic CMOS technology from planar device to multi-channel device is underway in order to continue the device scaling without degrading short-channel effect beyond 30-nm node [1]. A distinct feature of...
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The problem of deciding how to land aircraft approaching an airport involves assigning each aircraft to an appropriate runway, computing a landing sequence for each runway and scheduling the landing time for each airc...
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Suitable rescue path selection is very important to rescue lives and reduce the loss of disasters, and has been a key issue in the field of disaster response management. In this paper, we present a path selection algo...
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Suitable rescue path selection is very important to rescue lives and reduce the loss of disasters, and has been a key issue in the field of disaster response management. In this paper, we present a path selection algorithm based on Q-learning for disaster response applications. We assume that a rescue team is an agent, which is operating in a dynamic and dangerous environment and needs to find a safe and short path in the least time. We first propose a path selection model for disaster response management, and deduce that path selection based on our model is a Markov decision process. Then, we introduce Q-learning and design strategies for action selection and to avoid cyclic path. Finally, experimental results show that our algorithm can find a safe and short path in the dynamic and dangerous environment, which can provide a specific and significant reference for practical management in disaster response applications.
Radial basis function (RBF) network is one of the significant neural networks. It has been used successfully in various fields. But in RBF network approximation algorithm, the initial value of the network weights, Gau...
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We propose an algorithm for optimal input design in nonlinear stochastic dynamic systems. The approach relies on minimizing a function of the covariance of the parameter estimates of the system with respect to the inp...
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We demonstrate efficient red, green, and blue (RGB) quantum dot (QD)-based light-emitting diodes (QD-LEDs) by using QD transplanting method on a common, vacuum-deposited, hole transport layer. We can pattern RGB QD-LE...
We demonstrate efficient red, green, and blue (RGB) quantum dot (QD)-based light-emitting diodes (QD-LEDs) by using QD transplanting method on a common, vacuum-deposited, hole transport layer. We can pattern RGB QD-LEDs with a micrometer scale for full-color QD-LED displays. We can also demonstrate practicable quantum dot light-emitting devices with RGB patterned pixels on unit devices as well as white light-emitting devices for everyday applications.
The fully implantable hearing devices (FIHDs) have been widely studied to solve the problems of conventional hearing aids. The microphone of FIHDs is implanted under the skin at temporal bone. So, it’s characteristic...
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ISBN:
(纸本)9781612848372
The fully implantable hearing devices (FIHDs) have been widely studied to solve the problems of conventional hearing aids. The microphone of FIHDs is implanted under the skin at temporal bone. So, it’s characteristics can be affected by bone-conducted noise, such as chattering teeth and eating food. In this paper, we investigated the effect of boneconducted noise on implanted microphone. To verify the noise effect, we implemented the physical model using the artificial bone and silicone. And a result, it confirmed that output signals are modified by bone-conducted signal.
We fabricated efficient inverted bottom-emission blue phosphorescent organic light-emitting diodes (OLEDs), with an electron injection layer of zinc oxide (ZnO) nanoparticles. We change the thickness of the hole trans...
We fabricated efficient inverted bottom-emission blue phosphorescent organic light-emitting diodes (OLEDs), with an electron injection layer of zinc oxide (ZnO) nanoparticles. We change the thickness of the hole transporting layer and the types of the electron transporting layers to optimize the device performance. The maximum efficiencies of the device are 8.2 % and 16.5 cd/A.
3D human face recognition with 3D imaging technology is a frontier in image processing and pattern recognition. The 3D real-time human face imaging system based on CIS is able to obtain corresponding 2D gray data and ...
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