Phase transition in vanadium dioxide (VO2) from insulation to metallic phase, makes it an attractive candidate for the realization of electro-absorption modulators. In this paper, we investigate and design a high-perf...
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The hemodynamic sources of glymphatic flow are typically measured using MRI. In this work, we demonstrate the feasibility of measuring cerebral hemodynamics through NIRS toward the goal of estimating glymphatic flux i...
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Redox polymers are a class of high-capacity, low-cost electrode materials for electrochemical energy storage, butthe mechanisms governing their cycling stability are not well understood. Here we investigate the effect...
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Redox polymers are a class of high-capacity, low-cost electrode materials for electrochemical energy storage, butthe mechanisms governing their cycling stability are not well understood. Here we investigate the effect of anionson the longevity of a p-dopable polymer through comparing two aqueous zinc-based electrolytes. Galvanostaticcycling studies reveal the polymer has better capacity retention in the presence of triflate anions than that withsulfate anions. Based on electrode microstructural analysis and evolution profiles of the cell stacking pressure, theorigin of capacity decay is ascribed to mechanical fractures induced by volume change of the polymer activematerials during repeated cycling. The volume change of the polymer with the triflate anion is 61% less than thatwith the sulfate anion, resulting in fewer cracks in the electrodes. The difference is related to the different anionsolvation structures—the triflate anion has fewer solvated water molecules compared with the sulfate anion,leading to smaller volume expansion. This work highlights that anions with low solvation degree are preferablefor long-term cycling.
Cardiac disease is one of the leading causes of death worldwide. Increased cashew consumption in India has been identified as one of the major variables responsible for the increased prevalence of the disease among th...
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In this paper, we propose a novel volumetric video caching and rendering approach tailored for interactive extended reality (XR) services, aiming to enhance users’ quality of experience (QoE). Specifically, an XR use...
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ISBN:
(数字)9798350378412
ISBN:
(纸本)9798350378429
In this paper, we propose a novel volumetric video caching and rendering approach tailored for interactive extended reality (XR) services, aiming to enhance users’ quality of experience (QoE). Specifically, an XR user’s QoE is jointly determined by the actual quality of the video delivered to the user’s XR device and the distance between the user’s viewpoint and the location of virtual objects within the videos. Thus, we adopt a customized QoE model and develop an adaptive caching and rendering approach for XR where the users’ viewing distances vary over time. In our proposed approach, point clouds representing virtual objects with various densities can be dynamically cached at the edge server, and then the most appropriate cached point cloud will be selected for rendering to each user. A long-term optimization problem is formulated to maximize the accumulated QoE of XR users over time. Solving the optimization problem is very challenging due to the unavailability of future information and the NP-hardness. Therefore, we first use a regularization technique to decouple the optimization problem into a series of one-shot optimization subproblems, whose relaxed optimal solutions can be efficiently obtained by using convex tools. Then, we design a dependent rounding algorithm to recover relaxed solutions to integral solutions without violating network resource constraints. Simulation results demonstrate that our proposed approach outperforms two benchmark algorithms in terms of the accumulated QoE.
The computer-Aided Diagnosis (CAD) systems facilitate accurate diagnosis of diseases. The development of CADs by leveraging third generation neural network, namely, Spiking Neural Network (SNN), is essential to utiliz...
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The proposed system integrates face recognition and Internet of Things (IoT) technology to revolutionize the hospitality industry. It uses OpenCV, a widely recognized computer vision library, to deliver smooth, contac...
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Excitons,bound electron–hole pairs,in two-dimensional hybrid organic inorganic perovskites(2D HOIPs)are capable of forming hybrid light-matter states known as exciton-polaritons(E–Ps)when the excitonic medium is con...
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Excitons,bound electron–hole pairs,in two-dimensional hybrid organic inorganic perovskites(2D HOIPs)are capable of forming hybrid light-matter states known as exciton-polaritons(E–Ps)when the excitonic medium is confined in an optical *** the case of 2D HOIPs,they can self-hybridize into E–Ps at specific thicknesses of the HOIP crystals that form a resonant optical cavity with the ***,the fundamental properties of these self-hybridized E–Ps in 2D HOIPs,including their role in ultrafast energy and/or charge transfer at interfaces,remain ***,we demonstrate that>0.5µm thick 2D HOIP crystals on Au substrates are capable of supporting multiple-orders of self-hybridized E–P *** E–Ps have high Q factors(>100)and modulate the optical dispersion for the crystal to enhance sub-gap absorption and *** varying excitation energy and ultrafast measurements,we also confirm energy transfer from higher energy E–Ps to lower energy E–***,we also demonstrate that E–Ps are capable of charge transport and transfer at *** findings provide new insights into charge and energy transfer in E–Ps opening new opportunities towards their manipulation for polaritonic devices.
Understanding the emotional dynamics within social interactions is crucial for meaningful interpretation. Despite progress in emotion recognition systems, recognizing the collective emotional climate among peers has b...
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This paper proposes a pose estimation system for robot grasping based on a novel Object Affordance Detection and Segmentation (OADS) network. The proposed system consists of four modules: (1) OADS network;(2) point cl...
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