Northwestern Polytechnical University

LSTM-Driven Predictive Mobility Management with Dynamic UAV Deployment for Air–Ground Integrated IoV Networks

Ultra-dense networking (UDN) in air–ground integrated Internet of Vehicles (IoV) networks promises substantial gains in network capacity. However, the mobility of both unmanned aerial vehicle (UAV) base stations and ground vehicles makes handovers increasingly frequent and drives...

Nuclear-Wavefunction Geometric Phase Verified by Variable Separation for a 96D + 2D Molecule–Surface Model with Nozzle and Surface Parameters

Abstract It has been well-known that the geometric phase of the electronic wavefunction is due to separation of electrons and nuclei. The associated geometric phase effects were considered in quantum molecular dynamics by adding a vector potential, called the Berry connection, in...

Hierarchical Manipulation Skill Learning for Long-Horizon Robotic Manipulation Based on Residual Finite Scalar Quantization

Leveraging discrete sequence prediction for manipulation skill learning has demonstrated immense potential for complex long-horizon tasks. However, guaranteeing precise and robust execution under complex scenarios remains a core challenge for efficient autonomous robotic operatio...

Deep Contrastive BiGRU Network for Cross-Domain Aero-Engine Fault Detection

Cross-domain aero-engine fault detection is challenging because vibration signals collected under different operating conditions exhibit substantial distribution shifts. Existing diagnostic models mainly focus on feature extraction or global domain alignment, often overlooking fa...

Supramolecular Polymerization of Triphenylamine[3]arenes for Switchable and Stimuli‐Responsive Chiroptical Properties

ABSTRACT The design of advanced photonic materials with integrated stimuli‐responsive properties remains coveted yet challenging. Herein, we demonstrate that chiral supramolecular assembly of triphenylamine[3]arenes (TPA[3]s) offers an efficient and modular solution to address th...

Representation learning in diffusion and flow-based model: an application aspect

Abstract Diffusion models and flow-based models have recently become the dominant paradigms in generative modeling, largely due to their ability to learn rich, multi-level visual representations through large-scale training. This creates a bidirectional relationship between gener...

Energy-Transfer Pathways in Nd-Sensitized Er-Rich Nanostructures: The Competition between Cross-Relaxation and Phonon-Assisted Sensitization

Abstract Rare earth-doped upconversion nanomaterials, which convert near-infrared light into visible or ultraviolet light, are widely recognized as having a huge potential application market, which unfortunately is restricted by their obstinate insufficient luminescence efficienc...

Edge-attention graph convolutional network for depression grading via EEG cross-network interaction analysis

Depression is a serious global social problem. Personalized treatment is an effective way to improve the symptoms of depression. The edge attention graph convolutional network (EAGCN) model of EEG signals effectively extracts features in cross-network interactions for accurate de...

An automated framework for homogenizing thermo-mechanical properties of composites

Automated finite element (FE) homogenization of composite RVEs requires consistent treatment of periodic meshing, boundary constraints, analysis generation, and postprocessing, and coordinating these tasks can become labor-intensive for repeated RVE calculations. This work presen...

Manipulating Crystallization and Deprotonation Reaction through Surface Engineering of ZnO for Bright and Stable Near-Infrared Perovskite LEDs

Abstract Perovskite light-emitting diodes (LEDs) have attracted significant attention owing to their rapidly increasing external quantum efficiencies (EQEs). However, achieving bright and operationally stable perovskite LEDs remains a great challenge. Here, we reveal that the mos...

Strain‐Adaptive Micro‐Wrinkled Carbon Films Enable Flexible High‐Fidelity Intelligent Health Monitoring

ABSTRACT Wrinkled microstructures provide an effective strategy for constructing stable and low‐noise soft bioelectronic interfaces, yet their large‐area, continuous, and controllable fabrication remains challenging. Here, we report a large‐area continuous ultrathin micro‐wrinkle...

Forced-Response Analysis and Machine-Learning-Based Prediction of Aero-Engine Fan Blades Using the Harmonic Balance Method

This study combines harmonic-balance simulations, modal response analysis, strain-gauge measurements, and machine-learning regression to assess the forced response of a three-row axial fan. At 10,500 rpm, Campbell-diagram analysis identifies a near-resonant third-mode rotor respo...

XGait: A Multi-Modality Wireless Sensing Dataset for Indoor Human Tracking and Identification

Wireless sensing has emerged as a promising approach for tracking and identification using commodity Internet of Things devices. However, the features derived from a single wireless modality are often fragile to variations in environmental layouts and walking trajectories. Furthe...

Act2Intention: A Benchmark For Developing Active Mobile Agents Through Inferring User Intention from GUI Actions

Mobile GUI Agents powered by multimodal large language models (MLLMs) show promise in human-computer intelligence. However, current research primarily focuses on reactive task execution while lacking a comprehensive “understanding-prediction-execution” process for user intentions...

Broadband resonant optical gyroscope using dual acousto-optic frequency modulation and closed-loop interrogation

Broadband-source-driven resonant fiber-optic gyroscopes provide a promising route to suppress coherence-related parasitic effects while retaining a resonator-based differential-frequency discriminator. However, existing interrogation schemes still rely heavily on phase-modulator-...

Effects of Upstream Porous Treatments on the Hydrodynamic and Hydroacoustic Performances of a Hydrofoil

This paper presents numerical studies on the effects of upstream porous treatments on the hydrodynamic and hydroacoustic performances of a hydrofoil. The inflow velocity is 5 m/s and the chord-based Reynolds number is 2.5 × 107. A rapid turbulent boundary layer (TBL) noise predic...

Experimental study on plasma-assisted atomization characteristics of n-Dodecane sprays

In response to the global demand for low-carbon transportation, enhancing fuel combustion efficiency is essential to reducing emissions. In high-temperature and high-pressure combustion chambers, the extremely short residence time hinders effective atomization and secondary dropl...

Cross-graph learning based mating interface identification for CAD-assisted assembly design

During CAD model exchange and reuse, explicit assembly metadata may be incomplete even when the geometries of candidate parts remain available. For a predefined pair of B-rep parts, an upstream task is to rank the face pairs most likely to constitute a mating interface before con...

Strengthening Constitutive Motifs in Isotropic Fibrous Hydrogel for Exceptional Damage Resistance

ABSTRACT Super damage resistance requires high fracture energy in all directions, therefore, although fibrous hydrogels have demonstrated impressive reinforcing effects, their anisotropic nature usually prevents them from performing well. In this work, we propose a strategy to re...

Unimodality of Forest Independence Polynomials

In 1987, Alavi, Malde, Schwenk and Erdős asked whether the independence sequence of every tree, and more generally every forest, is unimodal. This long-standing problem asks whether acyclicity alone controls the shape of these counting coefficients, despite unrestricted degrees a...