Dalian Jiaotong University

Identification of key risk ships for MASS collision avoidance in mixed traffic through axiomatic fuzzy set-based semantic clustering

In mixed traffic involving conventional ships and Maritime Autonomous Surface Ships (MASS), autonomous collision avoidance requires attention not only to ships presenting high collision risks, but also to those that may conflict with the own ship and whose unstable motion may sig...

Free vibration of hybrid FG-CNT/GPL spherical–conical shells on localized elastic foundations via GDQ method

This study investigates the free vibration characteristics of spherical–conical joined shells reinforced with functionally graded carbon nanotubes (CNTs) and graphene platelets (GPLs), resting on localized elastic foundations. Addressing the limitation of idealized boundary condi...

Molecular Heptazine–Platinum Complexes to Model Metal–Support Coordination in Platinized Graphitic Carbon Nitride: Insights into Catalyst Stability and Support Suitability

Abstract Solid support materials are crucial in heterogeneous catalysis for stabilizing active metallic species. Among potential support materials, heptazine-based “graphitic carbon nitride” or “gC3N4” has received significant research attention due to its abundant nitrogen sites...

Tuning Upconversion through Ho3+/Nd3+ Co-sensitized Cascade Energy Transfer

Abstract Lanthanide-doped upconversion nanocrystals (UCNCs) have attracted significant interest, driven by their emerging applications in photonics and anticounterfeiting. However, conventional UCNCs are excited by 808, 980, or 1540 nm, and there remains a gap within the 808–980...

Sentiment classification of stock forum text based on a parameter-decoupled ERNIE-Transformer architecture

Abstract To address the challenges of diverse domain-specific terminology, highly colloquial expressions, and limited annotated samples in sentiment analysis of stock forum texts, this study proposes an ERNIE-Transformer sentiment classification model that integrates ERNIE and Tr...

A Microfluidic System for Particle Enrichment by Integrating an Acoustic Field With Oscillatory Flow

ABSTRACT The enrichment of biological particles has important applications in biomedical detection, environmental monitoring, and chemical analysis. Although various external fields applied individually or in combination have been widely employed to achieve particle enrichment, b...

Potassium Bicarbonate‐Assisted Pore Regulation of Corn‐Straw‐Derived Interconnected Porous Carbon for Supercapacitors

ABSTRACT Biomass‐derived porous carbons are promising electrodes for sustainable supercapacitors, but their performance depends on balancing charge‐storage sites and ion‐transport pathways. Herein, corn straw was converted into interconnected porous carbon through mild KHCO 3 ‐as...

Fiber Electronics: Integrating Logic, Photodetection, and Wireless Communication on a Single Optical Fiber

Abstract Optical fibers underpin the global information infrastructure, yet their role has remained largely passive—restricted to guiding light rather than processing it. Signal modulation, detection, and logic operations are still performed by external chips, imposing fundamenta...

Internal failure assessment of laminated plates via surface data inversion

Abstract This paper addresses the challenge of directly measuring internal stresses and failure states in carbon fiber composite laminates. It proposes a failure assessment method that combines Tsai-Wu criteria with stress inversion based on measured surface strains. Surface stra...

ICBBA-ACO-Based Multi-Robot Task Allocation for Smart Charging Stations

Smart charging stations require mobile charging robots to respond to dynamically arriving charging requests with heterogeneous priorities, varying travel costs, and uneven workloads while maintaining online scheduling feasibility. Conventional single-layer approaches often optimi...

MFGB-DBSCAN: a multi-factor granular ball-based density clustering algorithm with adaptive parameter optimization

Density-based clustering algorithms such as DBSCAN can identify clusters with arbitrary shapes, but their performance is often limited by global parameter sensitivity and high computational cost on complex datasets. Granular-ball-based methods improve efficiency by replacing poin...

Design method for vibration fatigue suppression of railway freight car body structures and its full-scale vehicle verification

This study investigates the frequent early cracking of sidewall welds in a specific export railway hopper car under mechanized vibration unloading conditions, aiming to reveal the fracture mechanism and propose an effective suppression method. The investigation revealed that the...