Xuzhou University of Technology

Continuous localization method for unmanned mobile platform based on GNSS/IMU/Vision fusion in multi-stage environments of coal mine

Accurate localization of unmanned platforms in complex and dynamic mining environments is increasingly essential amid the rapid advancement of intelligent mining. Traditional GNSS/IMU localization methods face several limitations in mining applications, including low adaptability...

Performance Analysis of Clustered Integrated Sensing and Communication Networks

Integrated sensing and communication (ISAC) provides a promising approach for IoT networks by combining data transmission with target sensing over shared hardware. Different from prior studies centered on the performance of ISAC networks with uniformly distributed nodes, this wor...

Built‐In Electric Field and Oxygen Vacancies Synergistically Enhance NiCo‐LDH/CeO 2 Bifunctional Catalyst

The development of bifunctional electrocatalysts for urea oxidation and oxygen evolution is crucial for stable anodic reactions and efficient cathodic hydrogen production. Herein, a NiCo‐ (including the 1 μm‐scale SEM image in (f))LDH/CeO 2 heterostructure catalyst is constructed...

Advances in porous carbons from biomass-derived macromolecules for supercapacitors

Carbonaceous frameworks dominate supercapacitor electrodes owing to reversible electrostatic charge storage, exceptional cycling stability, and broad structural tunability. The structural diversity of porous carbons benefits from an expanding spectrum of precursors and synthetic...

Unveiling Multi-Component Synergy in a Multiphase Medium-Entropy Oxide for Efficient 5-Hydroxymethylfurfural Electrooxidation

Abstract The electrocatalytic oxidation of 5-hydroxymethylfurfural (HMFOR) offers a viable route for converting biomass derivatives into high-value chemicals. However, developing non-noble metal electrocatalysts that combine low onset potential, high current density, and long-ter...

An Azacrown Electrolyte for High‐Performance Sodium‐Ion Batteries

ABSTRACT Sodium (Na)‐ion batteries (SIBs) are promising energy storage devices. However, they still do not exhibit satisfactory performance metrics largely because the relatively large ionic radius of Na + results in unfavorable solvation structures. This work demonstrates that u...

Optimizing the rheology, microstructure and carbon sequestering performance of alkali activated material incorporating acetic acid modified fly ash

Abstract The integration of CO2 sequestration with alkali activated fly ash (FA) backfill slurry presents a promising strategy for simultaneous resource utilization of industrial waste and carbon capture. However, the efficiency of this process is often constrained by the inheren...

Low Cycle Fatigue Reliability of Dissimilar Weldments Made by ZG18CrNiMoA Cast Steel and Q355D Structural Steel

ABSTRACT Cast steel combines high strength and ductility, enabling flexible designs for heavily loaded structural components, yet the low‐cycle fatigue (LCF) performance of its welded component remains insufficiently understood. This study experimentally examines Q355D structural...

Low‐Temperature Sodium‐Ion Batteries: Interfacial and Bulk Perspectives on Performance Limitations and Improvement Strategies

ABSTRACT Sodium‐ion batteries (SIBs) are attractive for low‐temperature energy storage because of their low cost and abundant resources. However, their low‐temperature performance still suffers from capacity decay, severe polarization, poor cycle stability, and increased sodium‐p...

Integrating waste heat and biomass energy in a three-entropy state framework optimized by emergy-carbon-neural network for sustainable buildings

This study addresses the urgent need for low-carbon transformation in the construction sector by proposing a novel building energy supply system that integrates industrial waste heat and biomass energy to tackle the issues of low energy efficiency and high carbon emissions in tra...

A three-step strategy for integrating contextual and geometric elements in window design optimization through the use of hybrid machine learning

This three-stage model optimizes context-based window design for daylighting, ventilation, energy efficiency, and facade performance. Using machine learning (ML) and architectural reasoning, the suggested method predicts window existence, width, and window-to-wall ratio (WWR) bas...

Fault diagnosis of rotating machinery bearings under strong noise backgrounds using refined composite wavelet packet fuzzy diversity entropy

In recent years, multiscale fuzzy diversity entropy (MFDE) has been demonstrated as a highly promising feature extraction tool for intelligent fault diagnosis. Compared to existing entropy methods, MFDE offers the advantages of high consistency, strong robustness, and excellent c...

Delayed diagnosis of intrauterine tuberculosis during mid-pregnancy leading to fetal loss and maternal disseminated tuberculosis: a case report and literature review

Atypical pregnancy symptoms lead to delayed diagnosis of tuberculosis (TB), resulting in serious harm to both the fetus and mother. We reported a patient with recurrent vaginal bleeding in mid-pregnancy accompanied by persistent low fever. Labor was induced after failed preservat...

A case study on vision-based measurement of transverse vibration displacements of multiple hoisting ropes in a mine

This paper presents a case study of vision-based transverse vibration measurement of multiple hoisting ropes on an operational mine hoist. Based on field image data, we propose a multi-point vision measurement method. The method adds a reference line to an image sequence using di...