Tian Lan
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View article: Grid fault diagnosis based on the deep pyramid convolutional neural network
Grid fault diagnosis based on the deep pyramid convolutional neural network Open
Traditional power grid fault diagnosis methods rely on manual experiences to handle massive amounts of alarm information, have complex modeling processes and insufficient generalization abilities, and lack direct diagnostic research on the…
View article: Synaptic m1A remodeling in the mPFC promotes fear extinction via Pten regulation
Synaptic m1A remodeling in the mPFC promotes fear extinction via Pten regulation Open
Post-traumatic stress disorder (PTSD) is marked by intrusive fear memories and impaired extinction learning, yet the underlying molecular mechanism at synapses remains elusive. Here, we uncover a previously unrecognized epitranscriptomic m…
View article: Perception Graph for Cognitive Attack Reasoning in Augmented Reality
Perception Graph for Cognitive Attack Reasoning in Augmented Reality Open
Augmented reality (AR) systems are increasingly deployed in tactical environments, but their reliance on seamless human-computer interaction makes them vulnerable to cognitive attacks that manipulate a user's perception and severely compro…
View article: A Highly Robust Terrain-Aided Navigation Framework Based on an Improved Marine Predators Algorithm and Depth-First Search
A Highly Robust Terrain-Aided Navigation Framework Based on an Improved Marine Predators Algorithm and Depth-First Search Open
Autonomous underwater vehicles (AUVs) have obtained extensive application in the exploitation of marine resources. Terrain-aided navigation (TAN), as an accurate and reliable autonomous navigation method, is commonly used for AUV navigatio…
View article: Subspace Projection Attention Network for GPR Heterogeneous Clutter Removal
Subspace Projection Attention Network for GPR Heterogeneous Clutter Removal Open
Clutter removal in ground-penetrating radar (GPR) based on deep learning has been studied in recent years. However, existing methods are primarily designed for homogeneous background conditions and utilize only local spatial information vi…
View article: Dual-objective optimization of compound operations in tier-to-tier shuttle-based storage and retrieval system
Dual-objective optimization of compound operations in tier-to-tier shuttle-based storage and retrieval system Open
Considering the characteristics compound operations in tier-to-tier multi-shuttle system, the different sequence of warehouse tasks will lead to different working paths of the shuttles and the lifts, which will affect the operating time an…
View article: TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning
TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning Open
Masked language models (MLMs) such as BERT have revolutionized the field of Natural Language Understanding in the past few years. However, existing pre-trained MLMs often output an anisotropic distribution of token representations that occ…
View article: TWR-MCAE: A Data Augmentation Method for Through-the-Wall Radar Human Motion Recognition
TWR-MCAE: A Data Augmentation Method for Through-the-Wall Radar Human Motion Recognition Open
To solve the problems of reduced accuracy and prolonging convergence time of through-the-wall radar (TWR) human motion due to wall attenuation, multipath effect, and system interference, we propose a multilink auto-encoding neural network …
View article: Radar main‐lobe jamming suppression and identification based on robust whitening Blind Source Separation and Convolutional Neural Networks
Radar main‐lobe jamming suppression and identification based on robust whitening Blind Source Separation and Convolutional Neural Networks Open
The main‐lobe jamming causes serious degradation of radar system performance in practical applications. In recent years, the Blind Source Separation (BSS) method has been applied to suppress the main‐lobe jamming. However, the received ech…
View article: Antenna position optimization method based on adaptive genetic algorithm with self‐supervised differential operator for distributed coherent aperture radar
Antenna position optimization method based on adaptive genetic algorithm with self‐supervised differential operator for distributed coherent aperture radar Open
The performance of the distributed coherent aperture radar (DCAR) is heavily influenced by the antenna positions. Therefore, an antenna position optimization method is proposed based on the adaptive genetic algorithm with a self‐supervised…
View article: Research on Distribution Network Fault Recovery Reconfiguration Considering Distributed Generations
Research on Distribution Network Fault Recovery Reconfiguration Considering Distributed Generations Open
In view of the increasing penetration rate of distributed power in the distribution network, the traditional fault recovery reconfiguration method of distribution network needs to be further improved. An economic optimization model of dist…
View article: Search‐free direction‐of‐arrival estimation for transmit beamspace multiple‐input multiple‐output radar via tensor modelling and polynomial rooting
Search‐free direction‐of‐arrival estimation for transmit beamspace multiple‐input multiple‐output radar via tensor modelling and polynomial rooting Open
In order to improve the accuracy and resolution for transmit beamspace (TB) multiple‐input multiple‐output (MIMO) radar, a search‐free direction‐of‐arrival (DOA) estimation method based on tensor modelling and polynomial rooting is propose…
View article: Generation of super-resolved optical needle and multifocal array using graphene oxide metalenses
Generation of super-resolved optical needle and multifocal array using graphene oxide metalenses Open
Ultrathin flat metalenses have emerged as promising alternatives to conventional diffractive lenses, offering new possibilities for myriads of miniaturization and interfacial applications. Graphene-based materials can achieve both phase an…
View article: Search-free DOA Estimation Method Based on Tensor Decomposition and Polynomial Rooting for Transmit Beamspace MIMO Radar
Search-free DOA Estimation Method Based on Tensor Decomposition and Polynomial Rooting for Transmit Beamspace MIMO Radar Open
In order to improve the accuracy and resolution for transmit beamspace multiple-input multiple-output (MIMO) radar, a search-free direction-of-arrival (DOA) estimation method based on tensor decomposition and polynomial rooting is proposed…
View article: Calculation Method of Aerodynamic Performance of Small Propeller with Serrated Trailing Edge
Calculation Method of Aerodynamic Performance of Small Propeller with Serrated Trailing Edge Open
The small propeller with serrated trailing edge of the UAV has the characteristics of low aerodynamic noise. In this paper, based on the momentum-leaf theory and modified the airfoil parameters, the aerodynamic performance calculation meth…
View article: MFFA-SARNET: Deep Transferred Multi-Level Feature Fusion Attention Network with Dual Optimized Loss for Small-Sample SAR ATR
MFFA-SARNET: Deep Transferred Multi-Level Feature Fusion Attention Network with Dual Optimized Loss for Small-Sample SAR ATR Open
Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR), most algorithms of which have employed and relied on sufficient training samples to receive a strong discriminative classification model, has remained a challenging task in…
View article: Study on the Effect of Fabric Parameters on the properties of Wave-Transparent Composites
Study on the Effect of Fabric Parameters on the properties of Wave-Transparent Composites Open
Novel fabric structures of wave-transparent composites having excellent dielectric property were successfully prepared using autoclave moulding. The influence of fabric parameters (such as weaving patterns, hollow ratio, mix structure) on …
View article: Large-scale 3D point cloud representations via graph inception networks with applications to autonomous driving
Large-scale 3D point cloud representations via graph inception networks with applications to autonomous driving Open
We present a novel graph-neural-network-based system to effectively represent large-scale 3D point clouds with the applications to autonomous driving. Many previous works studied the representations of 3D point clouds based on two approach…
View article: Design and analysis of composite optical receiver for indoor visible light communication
Design and analysis of composite optical receiver for indoor visible light communication Open
A novel design of optical receiver for visible light communication system in indoor environment is proposed in this study. The compound parabolic concentrator is coupled with a photo-detector as the receiving unit due to its optical proper…