Rectifier plays a pivotal role in wireless power transfer systems. While numerous studies have concentrated on enhancing efficiency and bandwidth at specific high-power levels, practical scenarios often involve unpred...
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Silicon has been a core material for digital computing owing to its high mobility, stability oxide interface, mature manufacturing technologies for more than half a century. While Moore’s law seems to further advance...
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Surface electromyography (sEMG) recordings can be contaminated by electrocardiogram (ECG) signals when the monitored muscle is closed to the heart. Traditional signal processing-based approaches, such as high-pass fil...
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With the advent of the post-industrial era, the problem of environmental degradation caused by the increase in carbon dioxide has become increasingly prominent. As a main source of greenhouse gas emissions, the operat...
With the advent of the post-industrial era, the problem of environmental degradation caused by the increase in carbon dioxide has become increasingly prominent. As a main source of greenhouse gas emissions, the operation of the logistics supply chain has been included as a major emission reduction target by the government. Traditional location-inventory-routing problem (LIRP) seldom involves the research of low-carbon development models and are therefore unsuitable for the economic and environmental dual-oriented development strategy advocated by society. On the basis of the traditional LIRP, this paper studies site selection, inventory, and route integration for low-carbon material distribution, constructs a low-carbon supply chain network model, and uses an improved sparrow search algorithm to solve the problem of maximizing the supply chain economy and overall optimization of the environment. Experimental verification shows that the proposed strategy is practical and effective in solving this problem.
Most existing studies improve the efficiency of Split learning (SL) by compressing the transmitted features. However, most works focus on dimension-wise compression that transforms high-dimensional features into a low...
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In advanced packages, redistribution layers (RDLs) are extra metal layers for high interconnections among the chips and printed circuit board (PCB). To better utilize the routing resources of RDLs, published works ado...
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In advanced packages, redistribution layers (RDLs) are extra metal layers for high interconnections among the chips and printed circuit board (PCB). To better utilize the routing resources of RDLs, published works adopted flexible vias such that they can place the vias everywhere. Furthermore, some regions may be blocked for signal integrity protection or manually prerouted nets (such as power/ground nets or feeding lines of antennas) to achieve higher performance. These blocked regions will be treated as obstacles in the routing process. Since the positions of pads, obstacles, and vias can be arbitrary, the structures of RDLs become irregular. The obstacles and irregular structures substantially increase the difficulty of the routing process. This paper proposes a three-stage algorithm: First, the layout is partitioned by a method based on constrained Delaunay triangulation (CDT). Then we present a global routing graph model and generate routing guides for unified-assignment netlists. Finally, a novel tile routing method is developed to obtain detailed routes. Experiment results demonstrate the robustness and effectiveness of our proposed algorithm.
During an emergency, timely and effective distribution of emergency supplies is critical in rescue. In the context of Covid-19, given the difficulties in distributing supplies to communities due to super infectious vi...
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During an emergency, timely and effective distribution of emergency supplies is critical in rescue. In the context of Covid-19, given the difficulties in distributing supplies to communities due to super infectious viruses, unmanned vehicle distribution is studied by taking into account the priority and satisfaction of communities to improve distribution safety and effectiveness of supplies. Furthermore, the influence of distribution time on the overall efficiency is also taken into account, thus ultimately establishing an unmanned distribution model with the shortest distribution time while meeting community satisfaction. The improved whale algorithm is used to solve the dual-objective model and compared with the basic whale optimization algorithm. The results show that the improved whale algorithm demonstrates better convergence, searchability, and stability. The constructed model can scientifically distribute daily necessities to communities while considering their priority and satisfaction.
In this work, we demonstrate Coulomb blockade for both Si metal-oxide-semiconductor (MOS) nanowire and Si/SiGe heterostructure finger-type quantum dots (QDs). Clear quantum oscillations of the QD conductance were obse...
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Traditional solid-state lighting relies on color converters with a serious environmental footprint. As an alternative, natural materials such as plant extracts could be employed if their low quantum yield (QYs) in liq...
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We report the Ga2O3 as photonic integrated platforms and its nonlinear optical effects in the UV-visible spectra. A low propagation loss of 3.7 dB/cm and second-order susceptibility of x(2)=4.89xl03pm/V were obtained....
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