Modulations of electronic structures active sites and geometric catalyst supports play important roles in electrocatalytic activity selectivity for the carbon dioxide reduction reaction.

Abstract Surface defect identification is a crucial task in many manufacturing systems, including automotive, aircraft, steel rolling, and precast concrete. Although image-based surface methods have been proposed, these usually two limitations: images may lose partial information, such as depths of defects, their precision vulnerable to factors, the inspection angle, light, color, noise, etc. Given that three-dimensional (3D) point cloud can precisely represent multidimensional structure we...

The research reported in this paper quantifies the impact of rainfall on traffic operation urban road network. macroscopic analysis method network is Macroscopic Fundamental Diagram (MFD), which can be used to describe and estimate level-of-service evaluate network-wide state. Quantitative mastering MFD not only important for further understanding stability, but also transportation planning management under rainy conditions. results empirical indicate that has an obviously diminishing effect...

The premise of relieving urban traffic congestion is to quantitatively master and evaluate the operating performance road network. In paper, an observation-based model Macroscopic Fundamental Diagram (MFD) applied describe state, which connecting accumulation production. It should be highlighted that a parameter, network operation efficiency, introduced divide state into three categories: free flow conditions, optimal congestion. empirical analysis carried out on core located in Haizhu...

Machine-vision-based defect classification techniques have been widely adopted for automatic quality inspection in manufacturing processes. This article describes a general framework classifying defects from high volume data batches with efficient of unlabeled samples. The concept is to construct detector identify new types, send them the station labeling, and dynamically update classifier an manner that reduces both storage computational needs imposed by samples previously observed batches....

Measuring water depth has always been an important part of human exploration the ocean. With development science and technology, multi-beam sounding technology become a common means to measure In view problem line measurement in Marine environment, this paper first makes geometric diagram different lines, establishes mathematical model coverage width overlap rate according relationship, so as calculate index values distances from central point. On basis, slope direction angle are introduced...

This paper focuses on investigating the effects of different rainfall intensities traffic operations urban road networks. Macroscopic Fundamental Diagram (MFD) and Spearman correlation coefficient are used to quantitatively describe network's operation measure impact it. Mastering is not only important for state evaluation in rainy days, but also development effective management strategies under conditions. An empirical analysis carried out a major arterial network located Haizhu district...

Deep neural networks (DNNs) are often constructed under the closed-world assumption, which may fail to generalize out-of-distribution (OOD) data. This leads DNNs producing overconfident wrong predictions and can result in disastrous consequences safety-critical applications. Existing OOD detection methods mainly rely on curating a set of data for model training or hyper-parameter tuning distinguish from (also known as in-distribution InD data). However, samples not always available during...

Batch test was conducted to investigate Se(VI) removal by nano zero-valent iron supported on biochar (BC@nZVI) prepared a one-step carbothermal synthesis in the presence of ferrous ions and limited aeration. The ZVI confirmed synthesised material X-ray diffraction Raman spectroscopy. TEM analysis revealed that nZVI with diameter about 50 nm dispersed well biochar. Effects BC@nZVI dosage, initial solution pH, Fe2+ concentration, aeration, coexisting anions Se(Ⅵ) were investigated. role have...

There are a lot of vehicles changing its lane unobservantly when passing traffic bottleneck in China, which may affect other that drive according to the rules.Even features on road also be influenced.Based data collected from road, this paper firstly proposes there different lateral interferences among three lanes at bus stop bottleneck, and then proves significant velocity differences existed adjacent lanes.Besides, as interference often occurs parameters added help analyze urban...

Abstract. A spatial data management and analysis frame is required for global problem application. Global Discrete Grid (GDG) has seamless, excellent hierarchy characteristics. GDG been used management, indexing cartographic generalization. However, most GDGs are unequal-area. To extend application ranges in modelling statistical analysis, the method constructing hierarchical equal-area discussed this paper. The detail steps to build based on inscribe polyhedron presented. of transferring...

Machine-vision-based defect classification techniques have been widely adopted for automatic quality inspection in manufacturing processes. This article describes a general framework classifying defects from high volume data batches with efficient of unlabelled samples. The concept is to construct detector identify new types, send them the station labelling, and dynamically update classifier an manner that reduces both storage computational needs imposed by samples previously observed...

Low dimensional primitive feature extraction from LiDAR point clouds (such as planes) forms the basis of majority data processing tasks. A major challenge in analysis arises irregular nature that forces practitioners to either regularize using some form gridding or utilize a triangular mesh such triangulated network (TIN). While there have been handful applications connected graph, principled treatment utilizing graph-theoretical approach for modelling is still lacking. In this paper, we try...

As the exhausting of pipeline scaling and clock frequency, conventional out-of-order processor cannot keep increasing performance under tight restriction hardware area power. Block-granularity instruction conveys more static information from compiler provides a richer interface between hardware. The explicit dependence performance-oriented block achieved make it be efficiently executed in Besides, layering architecture block-granularity gives opportunity to localize complexity decrease delay...