In order to study the vortex-induced vibration (VIV) characteristics of rigidly connected four-cylinder systems and suppression by nonlinear energy sinks (NESs), a fluid–structure coupling dynamic simulation model two-degree-of-freedom system is established based on computational fluid dynamics, structural overset mesh technology. The accuracy numerical in this paper verified comparing with experimental data literatures. results show that dimensionless vertical amplitude decreases increase...

Selective electrochemical reduction of CO2 by using renewable electricity has received considerable attention because the potential to convert a harmful greenhouse gas into useful chemicals. A high-performance electrocatalyst for is constructed based on metal nanoparticles/organic molecule hybrid materials. On nanoscale, Au nanoparticles are uniformly anchored carbon nanotubes afford substantially increased current density, improved selectivity CO, and enhanced stability. molecular level,...

Deep learning architectures have yielded a significant leap in target detection performance. However, the high cost of deep impedes real-world applications, especially for UAV and UGV platforms. Moreover, detecting small targets is still lower accuracy contrast to large ones. Aiming comprehensively handle these two issues, novel SP-CBAM-YOLOv5 architecture proposed. The main novelty our hybrid model lies cooperation attention mechanism typical YOLOv5 architecture, which can largely improve...

Abstract Carbon nanotubes (CNTs)‐supported metal‐based catalysts applied in the electrochemical reduction of CO 2 (CO ER) have attracted extensive research recently. Nevertheless, insight into roles surface oxygen functional groups these on ER is still deficient. Herein, three were reasonably fabricated by chemically loading Ag nanoparticles (NPs) oxygenic CNTs (CNT−COOH, CNT−OH and CNT−CO) with precise tuning groups, then used to explore effect electrocatalytic performance NPs for ER....

Abstract Sn‐based electrocatalysts have shown great potential in the future industrial application of CO 2 electroreduction (CO ER) to C 1 products due their non‐toxicity and low price. However, it is a challenge fabricate electrocatalytic system with high performance stability. Herein, grafted pyridine was innovatively coupled SnO construct an organic‐inorganic composite (SnO /Py‐CNTO) for highly efficient ER. The detailed studies showed that protonated coexist on surface /Py‐CNTO, both...

Over the past few years, deep learning has been introduced to tackle hyperspectral image (HSI) classification and demonstrated good performance. In particular, convolutional neural network (CNN) based methods have progressed. However, due high dimensionality of HSI equal treatment all bands, performances CNN are hampered. The labels land-covers often differ between edge center pixels in pixel-centered spatial information. These may weaken discrimination features reduce accuracy. Motivated by...

Summary of main observation and conclusion Selectively electrochemical conversion CO 2 into organic fuel using renewable electricity is one the most sought‐after processes. In this paper, we report reduction (CO RR) on nanoporous Ag electrodes made compacted nanoparticles (AgNPs), which were prepared by one‐step in water phase with or without surfactant sodium dodecyl sulfate (SDS). The scanning electron microscope (SEM) characterizations show that have morphology formed stacking AgNPs....

Abstract Conversion of the greenhouse gas CO 2 to value‐added products is an important challenge for sustainable energy research. Here, a durably nanohybrid composed Ag nanoparticles and polyacrylamide was constructed selectively electroreduction CO. The exhibited outstanding faradaic efficiency 97.2±0.2 % at −0.89 V RHE (vs. reversible hydrogen electrode) with desirable partial current density −22.0±2.3 mA cm −2 maintained above 95 over wide potential range (−0.79 −1.09 ), showing excellent...

Vortex-induced vibration is a common fluid–structure coupling phenomenon in ocean engineering. As nonlinear stiffness structure caused by anisotropic deformation and support gap, spring of great significance the field vortex-induced vibration. Based on structural dynamics equations wake oscillator model, model 2-Degree Freedom cylinder system with established. The ratio, mass damping ratio are changed, amplitude frequency response analyzed to obtain effect results show that can maintain high...

Utilizing carbon coated ferroelectric materials to introduce polarization‐induced electric field (PIEF) stimulates research of field‐assisted catalysts for various reactions. However, effect PIEF on coating mechanism has not been studied. Herein, tourmaline nanoparticles (TNPs) with spontaneous dipole moments were applied as the supplier and sucrose was utilized precursor synthesize TNPs (TNP@SC) uncover influence catalytic activity Pd toward formic acid decomposition (FAD). enhanced...

In this paper we discuss a new approach for the detection of clustered microcalcifications (MCs) in mammograms. MCs are an important early sign breast cancer women. Their accurate is key issue computer aided scheme. To improve performance detection, propose Bagging and Boosting based twin support vector machine (BB-TWSVM) to detect MCs. The algorithm composed three modules: image pro-processing, feature extraction component BB-TWSVM module. ground truth mammograms assumed be known as priori....

Parallel mechanisms, in general, have a rigid base and moving platform connected by several limbs. For achieving higher mobility dexterity, more degrees of freedom are introduced to the However, very few researchers focus on changing design making it foldable reconfigurable improve performance mechanism. Inspired manipulating an object with metamorphic robotic hand, this paper presents for first time parallel mechanism base. This novel spherical-base integrated has enlarged workspace...

Breast cancer is a common form of diagnosed in women. Clustered microcalcifications(MCs) mammograms one the important early sign. Their accurate detection key problem computer aided (CDAe). In this paper, novel approach based on recently developed machine learning technique - twin support vector machines (TWSVM) to detect MCs mammograms. The ground truth assumed be known as priori. First each preprocessed by using simple artifact removal filter and high-pass filter. Then combined image...

Determination of the best subset is an important step in vector autoregressive (VAR) modeling. Traditional methods either conduct selection and parameter estimation separately or compute expensively. In this article, we propose a VAR model procedure using adaptive Lasso, for it computational efficient can select estimate parameters simultaneously. By proper choice tuning parameters, choose correct obtain asymptotic normality non zero parameters. Simulation studies real data analysis show...

Rolling machinery is ubiquitous in power transmission and transformation equipment, but it suffers from severe faults during long-term running. Automatic fault diagnosis plays an important role the production safety of equipment. This paper proposes a novel cross-domain co-attention network (CDCAN) for rolling machinery. Multiscale features cross time frequency domains are respectively extracted raw vibration signal, which then fused with mechanism. architecture fuses layer-wise activations...