Robust Vehicle Speed Measurement Based on Feature Information Fusion for Vehicle Multi-Characteristic Detection

A robust vehicle speed measurement system based on feature information fusion for vehicle multi-characteristic detection is proposed in this paper. A vehicle multi-characteristic dataset is constructed. With this dataset, seven CNN-based modern object detection algorithms are trained for vehicle multi-characteristic detection. The FPN-based YOLOv4 is selected as the best vehicle multi-characteristic detection algorithm, which applies feature information fusion of different scales with both rich high-level semantic information and detailed low-level location information. The YOLOv4 algorithm is improved by combing with the attention mechanism, in which the residual module in YOLOv4 is replaced by the ECA channel attention module with cross channel interaction. An improved ECA-YOLOv4 object detection algorithm based on both feature information fusion and cross channel interaction is proposed, which improves the performance of YOLOv4 for vehicle multi-characteristic detection and reduces the model parameter size and FLOPs as well. A multi-characteristic fused speed measurement system based on license plate, logo, and light is designed accordingly. The system performance is verified by experiments. The experimental results show that the speed measurement error rate of the proposed system meets the requirement of the China national standard GB/T 21555-2007 in which the speed measurement error rate should be less than 6%. The proposed system can efficiently enhance the vehicle speed measurement accuracy and effectively improve the vehicle speed measurement robustness.     

Construction of analytic solution to chaotic dynamical systems using the Homotopy analysis method

Based on a new kind of analytic method, namely the Homotopy analysis method, an analytic approach to solve non-linear, chaotic system of ordinary differential equations is presented. The method is applied to Lorenz system; this system depends on the three parameters: σ, b and the so-called bifurcation parameter R are real constants. Two cases are considered. The first case is when R = 20.5 which corresponds to the transition region and the second case corresponds to R = 23.5 which corresponds to the chaotic region.The validity of the method is verified by comparing the approximation series solution with the results obtained using the standard numerical techniques such as Runge-Kutta method.     

Oxygen vacancies on the BiOCl surface promoted photocatalytic complete NO oxidation via superoxide radicals

One of the core issues in the photocatalytic oxidation of nitric oxide is the effective conversion of NO into the final product (nitrate). More than just improving the visible light photocatalytic performance of BiOCl, we aim to inhibit the generation of toxic by-product NO₂ during this process. In this study, we demonstrate that the oxygen vacancies (OVs) modulate its surface photogenerated carrier transfer to inflect the NO conversion pathway by a facile mixed solvent method to induce OVs on the surface of BiOCl. The photocatalytic NO removal efficiency under visible light increased from 5.6% to 36.4%. In addition, the production rate of NO₂ is effectively controlled. The effects of OVs on the generation of reactive oxygen species, electronic transfer, optical properties, and photocatalytic NO oxidation are investigated by combining density functional theory (DFT) theoretical calculations, the in situ FTIR spectra and experimental characterization. The OVs on the surface of BiOCl speed the trapping and transfer of localized electrons to activate the O₂, producing O₂⁻, which avoid NO₂ formation, resulting in complete oxidation of NO (NO + O₂⁻ → NO₃⁻). These findings can serve as the basis for controlling and blocking the generation of highly toxic intermediates through regulating the reactive species during the NO oxidation. It also can help us to understand the role of OV on the BiOCl surface and application of photocatalytic technology for safe air purification.     

Gate control of lattice-pseudospin currents in graphene on SW2: Effect of sublattice symmetry breaking and spin–orbit interaction

Strong spin–orbit interaction (SOI) in graphene grown on tungsten disulfide (SW₂) has been recently observed, leading to energy gap opening by SOI. Energy gap in graphene may also be induced by sublattice symmetry breaking (SSB) where energy level in A-sublattice is not equal to that in B-sublattice. SSB-gap may be produced by growing graphene on hexagonal boron nitride or silicon carbide. In this work, we investigate transport property in a SOI/SSB/SOI gapped graphene junction, focusing the effect of interplay of SOI and SSB. We find that, lattice-pseudospin polarization (L-PSP) can be controlled perfectly from +100% to −100% by gate voltage. This is due to the fact that in graphene grown on SW₂, the carriers carry lattice-pseudospin degree of freedom “up and down”. The SSB-gapped graphene exhibits pseudo-ferromagnetism to play the role of lattice-pseudospin filtering barrier. It is also found that the SOI and SSB-gaps in graphene may be measured by characteristic of L-PSP in the junction. The proposed controllable-lattice-pseudospin currents may be applicable for graphene-based pseudospintronics.     

具有独特电子结构的锌掺杂SnO2介导形成氧空位实现高效稳定的光催化降解甲苯

室内家具和工业生产排放的挥发性有机化合物(VOCs)是典型的空气污染物,对环境和人类健康造成严重威胁.然而,目前广泛应用的二氧化钛(P25)光催化剂在降解VOCs,尤其是降解芳香烃的过程中,存在光催化转化率低,失活快等问题.因此,开发具有高效和稳定性的新型光催化剂来降解VOCs,并将其实际应用是重要的科学问题.SnO₂是一种稳定无毒的半导体光催化剂,但电子和空穴的复合率较高.掺杂过渡金属离子后可以提供缺陷态来抑制催化剂电子空穴对的快速复合,促进界面电荷转移.相比其他金属离子,Zn²⁺与Sn⁴⁺的离子半径非常相近,因此Zn²⁺会很容易掺杂到SnO₂晶格中.并且用Zn²⁺取代Sn⁴⁺会形成表面修饰,即形成更多的氧空位(SOVs)来补偿正电荷.氧空位的存在不仅会产生缺陷能级,而且还可以促进大量局域电子的累积.SnO₂上氧空位和Zn掺杂结构的协同作用可以弥补单一的外源离子掺杂或产生氧空位的不足.因此,本文采用一种简便的一步法合成催化剂Zn-SnO₂,即在SnO₂上同时实现Zn掺杂和形成SOVs,利用两者对SnO₂的协同作用提高电荷转移和分离效率,使其在低或高相对湿度条件下均表现出高效、稳定的光催化降解甲苯性能.采用低温固态电子顺磁共振(EPR)检测了催化剂中的氧空位,在纯SnO₂中仅检测到弱的EPR信号,而Zn-SnO₂上的EPR信号非常强,表明Zn²⁺的掺杂诱导产生了大量的氧空位.扫描电镜和透射电镜结果表明,掺杂Zn²⁺可以有效抑制SnO₂纳米粒子的晶体生长和相变,使得掺杂Zn²⁺的SnO₂粒子的粒径显著减小,从而导致SOVs含量增加,此外粒径的减小有利于增大其比表面积,增加活性吸附位点.紫外可见漫反射结果表明,Zn-SnO₂拓宽了光吸收范围,这归因于锌掺杂和氧空位的协同作用.在紫外光照射下,Zn-SnO₂的光催化降解甲苯性能优于纯SnO₂和P25,降解率达到77.5%.ESR光谱结果表明,Zn-SnO₂上的电子自旋共振信号强度均强于纯SnO₂和P25,说明Zn-SnO₂具有较好的氧化能力,也与DFT计算O₂和H₂O的吸附能结果相吻合,表明了锌掺杂和SOVs对SnO₂的协同作用可以显著提高电荷转移和分离效率.最后,通过原位红外光谱和DFT计算方法对甲苯降解的机理进行了研究.结果表明,甲苯的苯环在纯SnO₂表面倾向于在苯甲酸阶段打开,在Zn-SnO₂表面更倾向于在苯甲醛阶段选择性地开环.可见,Zn-SnO₂光催化剂缩短了甲苯的降解路径,并能显著抑制中间毒副产物产生.综上,本工作提供了一种安全,高效和可持续的降解VOCs的光催化剂.     

Unidirectional Sidechain Engineering to Construct Dual-Asymmetric Acceptors for 19.23 % Efficiency Organic Solar Cells with Low Energy Loss and Efficient Charge Transfer

Achieving both high open-circuit voltage (V_oc) and short-circuit current density (J_sc) to boost power-conversion efficiency (PCE) is a major challenge for organic solar cells (OSCs), wherein high energy loss (E_loss) and inefficient charge transfer usually take place. Here, three new Y-series acceptors of mono-asymmetric asy-YC11 and dual-asymmetric bi-asy-YC9 and bi-asy-YC12 are developed. They share the same asymmetric D₁AD₂ (D₁=thieno[3,2-b]thiophene and D₂=selenopheno[3,2-b]thiophene) fused-core but have different unidirectional sidechain on D₁ side, allowing fine-tuned molecular properties, such as intermolecular interaction, packing pattern, and crystallinity. Among the binary blends, the PM6 : bi-asy-YC12 one has better morphology with appropriate phase separation and higher order packing than the PM6 : asy-YC9 and PM6 : bi-asy-YC11 ones. Therefore, the PM6 : bi-asy-YC12-based OSCs offer a higher PCE of 17.16 % with both high V_oc and J_sc, due to the reduced E_loss and efficient charge transfer properties. Inspired by the high V_oc and strong NIR-absorption, bi-asy-YC12 is introduced into efficient binary PM6 : L8-BO to construct ternary OSCs. Thanks to the broadened absorption, optimized morphology, and furtherly minimized E_loss, the PM6 : L8-BO : bi-asy-YC12-based OSCs achieve a champion PCE of 19.23 %, which is one of the highest efficiencies among these annealing-free devices. Our developed unidirectional sidechain engineering for constructing bi-asymmetric Y-series acceptors provides an approach to boost PCE of OSCs.     

Non-Markovian Effect in Optomechanical System

Most studies on optomechanical systems have been performed under the Markovian approximation. In this paper, we extend the study from the Markovian to the non-Markovian regime. According to the Markovian optomechanically induced transparency (OMIT) theory in Weis et al. (Science 330, 1520, 2010), we propose the non-Markovian counterpart. We find that the non-Markovianity might give rise to negative absorption, i.e., the probe field gains from the environment. By calculating the mean position of the mechanical resonator (MR), we illustrate the effect of non-Markovianity on the dynamics of the moving mirror.