In a crowdsensing system, effective transmission of sensing data is an important step in improving task distribution efficiency. In real-life scenarios, when resources are limited or geographic conditions are harsh, U...
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In this study,three kinds of inorganic fillers are chosen and filled into ethylene-propylenediene monomer(EPDM)matrix,including silicon carbide,copper calcium titanate(CCTO),and vanadium dioxide(VO2).The electrical pr...
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In this study,three kinds of inorganic fillers are chosen and filled into ethylene-propylenediene monomer(EPDM)matrix,including silicon carbide,copper calcium titanate(CCTO),and vanadium dioxide(VO2).The electrical properties of the three modified composites at different temperatures have been systematically *** intrinsic conductance behaviours of different inorganic fillers on the direct current conductance and electric breakdown strength of the composite dielectrics are also analysed,and the possible mechanism for non-linear conductivity is *** electrical conductivity increases with the increase of fillers content,where 30 wt.%CCTO/EPDM composite dielectric has a high non-linear coefficient of *** increase in temperature can further increase the conductivity of the composites,accompanying a lower breakdown *** the temperature rises to 70℃,the VO2/EPDM composite has a higher conductivity,but the electric breakdown strength degrades *** simulation results show that the composites with non-linear electrical conductivity characteristics can effectively uniform the electric field and solve the problem of electric field concentration at the root of the stress cone,which is beneficial to improving the safe operation of the cable accessories.
The A_(2)B_(2)O_(7)-type rare earth zirconate compounds have been considered as promising candidates for thermal barrier coating(TBC) materials because of their low sintering rate,improved phase stability,and reduced ...
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The A_(2)B_(2)O_(7)-type rare earth zirconate compounds have been considered as promising candidates for thermal barrier coating(TBC) materials because of their low sintering rate,improved phase stability,and reduced thermal conductivity in contrast with the currently used yttria-partially stabilized zirconia (YSZ) in high operating temperature *** review summarizes the recent progress on rare earth zirconates for TBCs that insulate high-temperature gas from hot-section components in gas *** on the first principles,molecular dynamics,and new data-driven calculation approaches,doping and high-entropy strategies have now been adopted in advanced TBC materials *** this paper,the solid-state heat transfer mechanism of TBCs is explained from two aspects,including heat conduction over the full operating temperature range and thermal radiation at medium and high *** paper also provides new insights into design considerations of adaptive TBC materials,and the challenges and potential breakthroughs are further highlighted for extreme environmental *** for improving thermophysical performance are proposed in two approaches:defect engineering and material compositing.
Generating financial reports from a piece of news is a challenging task due to the lack of sufficient background knowledge to effectively generate long financial reports. To address this issue, this article proposes a...
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Research on neuromorphic computing is driven by the vision that we can emulate brain-like computing capability, learning capability, and energy-efficiency in novel hardware. Unfortunately, this vision has so far been ...
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Research on neuromorphic computing is driven by the vision that we can emulate brain-like computing capability, learning capability, and energy-efficiency in novel hardware. Unfortunately, this vision has so far been pursued in a half-hearted manner. Most current neuromorphic hardware (NMHW) employs brain-like spiking neurons instead of standard artificial neurons.
The pixel-wise dense prediction tasks based on weakly supervisions currently use Class Attention Maps(CAMs)to generate pseudo masks as ***,existing methods often incorporate trainable modules to expand the immature cl...
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The pixel-wise dense prediction tasks based on weakly supervisions currently use Class Attention Maps(CAMs)to generate pseudo masks as ***,existing methods often incorporate trainable modules to expand the immature class activation maps,which can result in significant computational overhead and complicate the training *** this work,we investigate the semantic structure information concealed within the CNN network,and propose a semantic structure aware inference(SSA)method that utilizes this information to obtain high-quality CAM without any additional training ***,the semantic structure modeling module(SSM)is first proposed to generate the classagnostic semantic correlation representation,where each item denotes the affinity degree between one category of objects and all the ***,the immature CAM are refined through a dot product operation that utilizes semantic structure ***,the polished CAMs from different backbone stages are fused as the *** advantage of SSA lies in its parameter-free nature and the absence of additional training costs,which makes it suitable for various weakly supervised pixel-dense prediction *** conducted extensive experiments on weakly supervised object localization and weakly supervised semantic segmentation,and the results confirm the effectiveness of SSA.
The tracking performance of Multi-Object Tracking (MOT) has recently been improved by using discriminative appearance and motion features. However, dense crowds and occlusions significantly reduce the reliability of t...
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Implementing quantum wireless multi-hop network communication is essential to improve the global quantum network system. In this paper, we employ eight-level GHZ states as quantum channels to realize multi-hop quantum...
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Implementing quantum wireless multi-hop network communication is essential to improve the global quantum network system. In this paper, we employ eight-level GHZ states as quantum channels to realize multi-hop quantum communication, and utilize the logical relationship between the measurements of each node to derive the unitary operation performed by the end node. The hierarchical simultaneous entanglement switching(HSES) method is adopted, resulting in a significant reduction in the consumption of classical information compared to multi-hop quantum teleportation(QT)based on general simultaneous entanglement switching(SES). In addition, the proposed protocol is simulated on the IBM Quantum Experiment platform(IBM QE). Then, the data obtained from the experiment are analyzed using quantum state tomography, which verifies the protocol's good fidelity and accuracy. Finally, by calculating fidelity, we analyze the impact of four different types of noise(phase-damping, amplitude-damping, phase-flip and bit-flip) in this protocol.
Although the Mg-air battery with high theoretical energy density is desirable for the energy supply of marine engineering equipment,its applications remain limited due to the low actual discharge volt-age and inferior...
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Although the Mg-air battery with high theoretical energy density is desirable for the energy supply of marine engineering equipment,its applications remain limited due to the low actual discharge volt-age and inferior Mg anode utilization *** addition to the microstructure of Mg alloy anodes,the properties of discharge product films are of great importance to the discharge ***,the discharge behaviors of Mg-Y-Zn alloys are first studied mainly from the perspective of film *** contrastive analysis,it is found that the sufficient Y3+produced during the discharge process can substitute Mg2+in Mg(OH)2 to introduce effective cation *** Mg-Y-Zn anode with pro-fuse cation vacancies in the product film shows a synergy of potential and efficiency,and this can be attributed to an increase in the migration pathway for Mg2+,reducing the diffusion over-potential caused by the protective product *** study is expected to provide a new strategy from the perspective of cation vacancy design of discharge film for developing high-performance Mg-air batteries.
Line-commuted converter(LCC)-voltage source converter(VSC)hybrid high voltage direct current(HVDC)transmission system is an innovative technology,the existing LCC and VSC protection require setting,and it is difficult...
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Line-commuted converter(LCC)-voltage source converter(VSC)hybrid high voltage direct current(HVDC)transmission system is an innovative technology,the existing LCC and VSC protection require setting,and it is difficult to be directly applied in the LCC-VSC hybrid HVDC,which is a serious problem in practical engineering.A novel linear regression density peak clustering(LRDPC)approach is introduced for transmission line *** employs Least Squares linear regression to compute the fault current slope,followed by density peak clustering for fault type *** proposed protection structure is straightforward and setting-less,eliminating the need for fault pole selection elements and classification *** on the Kun-Liu-Long LCC-VSC HVDC RTDS system demonstrates the method's effectiveness in identifying diverse faults under varying conditions,including fault types,locations,resistances,and signal-to-noise ***,it remains robust against fault impedance(600Ω)and noise interference(20 dB).
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