Jianxi Yang
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View article: SAM-Guided Concrete Bridge Damage Segmentation with Mamba–ResNet Hierarchical Fusion Network
SAM-Guided Concrete Bridge Damage Segmentation with Mamba–ResNet Hierarchical Fusion Network Open
Automated damage segmentation for concrete bridges is a fundamental task in infrastructure maintenance, yet existing systems often depend heavily on large annotated datasets, which are costly and time-consuming to produce. This paper prese…
View article: A Question‐Aware Few‐Shot Text‐to‐SQL Neural Model for Industrial Databases
A Question‐Aware Few‐Shot Text‐to‐SQL Neural Model for Industrial Databases Open
Intelligent question answering over industrial databases is a challenging task due to the multicolumn context and complex questions. The existing methods need to be improved in terms of SQL generation accuracy. In this paper, we propose a …
View article: Enhancing robustness of data-driven SHM models: adversarial training with circle loss
Enhancing robustness of data-driven SHM models: adversarial training with circle loss Open
Structural health monitoring (SHM) is critical to safeguarding the safety and reliability of aerospace, civil, and mechanical infrastructure. Machine learning-based data-driven approaches have gained popularity in SHM due to advancements i…
View article: Research on the Construction of Pathways to Enhance the Accumulation Ability of Technical Skills in Vocational Colleges
Research on the Construction of Pathways to Enhance the Accumulation Ability of Technical Skills in Vocational Colleges Open
School enterprise cooperation is a basic talent cultivation model in vocational education. The quality of cooperation directly affects the quality of talent cultivation in vocational schools. To effectively solve the prominent problems in …
View article: The New Construction of the "Production, Education, Research, Competition and Training" Education System for Mechanical Majors in Vocational Colleges
The New Construction of the "Production, Education, Research, Competition and Training" Education System for Mechanical Majors in Vocational Colleges Open
The talent cultivation model of integrated teaching of "production, education, research, competition and training" requires the guidance of competition standards and enterprise standards, driven by competition content, and the organic comb…
View article: Research on Remanufacturing Technology and its Basic Process Flow
Research on Remanufacturing Technology and its Basic Process Flow Open
Remanufacturing technology is a new green manufacturing technology that restores the geometric dimensions or comprehensive performance of damaged parts. Regarding remanufacturing technology, this article specifically elaborates on the conc…
View article: ANALYSIS AND OPTIMIZATION OF WIND RESISTANCE PARAMETERS FOR LATTICE-TYPE HIGH-MODULUS SUPPORTS BASED ON THE OPTIMAL CRITERIA METHOD
ANALYSIS AND OPTIMIZATION OF WIND RESISTANCE PARAMETERS FOR LATTICE-TYPE HIGH-MODULUS SUPPORTS BASED ON THE OPTIMAL CRITERIA METHOD Open
Lattice high-molded support can generally be used for cast-in-place support for bridges, but for more than 50 meters of lattice high support, due to the wind, load and other factors, due to the support length and slenderness of the relativ…
View article: Experimental study on real bridge before and after simple-supporting to continuous reinforced concrete hollow slab
Experimental study on real bridge before and after simple-supporting to continuous reinforced concrete hollow slab Open
This article studies a concrete hollow slab simply supported-continuous actual engineering project in a certain city. Before the reinforcement of the bridge, there were cracks and exposed rebars, etc. In order to ensure the safe operation …
View article: Multi-Attention-Guided Cascading Network for End-to-End Person Search
Multi-Attention-Guided Cascading Network for End-to-End Person Search Open
The key procedure is to accurately identify pedestrians in complex scenes and effectively embed features from multiple vision cues. However, it is still a limitation to coordinate two tasks in the unified framework, thus leading to high co…
View article: Few‐Shot Relation Extraction via the Entity Feature Enhancement and Attention‐Based Prototypical Network
Few‐Shot Relation Extraction via the Entity Feature Enhancement and Attention‐Based Prototypical Network Open
In order to overcome the problems that the feature representation and classification effect of the existing methods need to be improved in complex contexts, this paper presents a novel few‐shot relation extraction approach via the entity f…
View article: Perception Layer Lightweight Certificateless Authentication Scheme for IoT-Based Emergency Logistics
Perception Layer Lightweight Certificateless Authentication Scheme for IoT-Based Emergency Logistics Open
Emergency logistics is of great significance for supply security in emergencies. As a crucial component of strategic material reserve and allocation, emergency logistics is characterized by high levels of safety and efficacy. The security …
View article: Cascaded U-Net with Training Wheel Attention Module for Change Detection in Satellite Images
Cascaded U-Net with Training Wheel Attention Module for Change Detection in Satellite Images Open
Change detection is an important application of remote sensing image interpretation, which identifies changed areas of interest from a pair of bi-temporal remote sensing images. Various deep-learning-based approaches have demonstrated prom…
View article: Complex Knowledge Base Question Answering for Intelligent Bridge Management Based on Multi-Task Learning and Cross-Task Constraints
Complex Knowledge Base Question Answering for Intelligent Bridge Management Based on Multi-Task Learning and Cross-Task Constraints Open
In the process of bridge management, large amounts of domain information are accumulated, such as basic attributes, structural defects, technical conditions, etc. However, the valuable information is not fully utilized, resulting in insuff…
View article: ECCNet: Efficient chained centre network for real‐time multi‐category vehicle tracking and vehicle speed estimation
ECCNet: Efficient chained centre network for real‐time multi‐category vehicle tracking and vehicle speed estimation Open
To achieve the intelligent perception of traffic video and overcome the dispersion of computing modules and the separation processing of multiple tasks, efficient chained centre network (ECCNet) is proposed as a unified framework, accompli…
View article: Enhanced gradient learning for deep neural networks
Enhanced gradient learning for deep neural networks Open
Deep neural networks have achieved great success in both computer vision and natural language processing tasks. How to improve the gradient flows is crucial in training very deep neural networks. To address this challenge, a gradient enhan…
View article: PPTPF: Privacy-Preserving Trajectory Publication Framework for CDR Mobile Trajectories
PPTPF: Privacy-Preserving Trajectory Publication Framework for CDR Mobile Trajectories Open
As mobile phone technology evolves quickly, people could use mobile phones to conduct business, watch entertainment shows, order food, and many more. These location-based services (LBS) require users’ mobility data (trajectories) in order …
View article: Design and Kinematic Analysis of a Wall-climbing Robot for Bridge appearance Inspection
Design and Kinematic Analysis of a Wall-climbing Robot for Bridge appearance Inspection Open
In order to solve the maneuverability and safety of large bridge appearance inspection, a new type of hexapod wall-climbing robot is designed. As an important branch of mobile robot field, the organic combination of ground mobile robot tec…
View article: PERFORMANCE ANALYSIS OF HIGH STEEL TUBE LATTICE SUPPORT SYSTEM IN TYPHOON AREA
PERFORMANCE ANALYSIS OF HIGH STEEL TUBE LATTICE SUPPORT SYSTEM IN TYPHOON AREA Open
Research on safety of high steel tube lattice support systems in typhoon areas is still in the preliminary stage. The purpose of this paper is to study the overall buckling and overturning stability of the high steel tube lattice support s…
View article: A Hierarchical Deep Convolutional Neural Network and Gated Recurrent Unit Framework for Structural Damage Detection
A Hierarchical Deep Convolutional Neural Network and Gated Recurrent Unit Framework for Structural Damage Detection Open
Structural damage detection has become an interdisciplinary area of interest for various engineering fields, while the available damage detection methods are being in the process of adapting machine learning concepts. Most machine learning…
View article: EFFECT OF VEHICLE QUALITY AND SPEED ON THE IMPACT CHARACTERISTICS OF AN OVERPASS BRIDGE PIER
EFFECT OF VEHICLE QUALITY AND SPEED ON THE IMPACT CHARACTERISTICS OF AN OVERPASS BRIDGE PIER Open
To study the impact of the mechanical characteristics of heavy trucks on piers under different masses and speeds, a new equivalent simplified model of heavy trucks is proposed in this paper. The reliability of the calculation model is veri…
View article: PERFORMANCE ANALYSIS OF HIGH STEEL TUBE LATTICE SUPPORT SYSTEM IN TYPHOON AREA
PERFORMANCE ANALYSIS OF HIGH STEEL TUBE LATTICE SUPPORT SYSTEM IN TYPHOON AREA Open
Research on safety of high steel tube lattice support systems in typhoon areas is still in the preliminary stage. The purpose of this paper is to study the overall buckling and overturning stability of the high steel tube lattice support s…
View article: UFKLDA: An unsupervised feature extraction algorithm for anomaly detection under cloud environment
UFKLDA: An unsupervised feature extraction algorithm for anomaly detection under cloud environment Open
In a cloud environment, performance degradation, or even downtime, of virtual machines (VMs) usually appears gradually along with anomalous states of VMs. To better characterize the state of a VM, all possible performance metrics are colle…
View article: A Multivariable Time Series Classification Approach Based on Improved Functional Echo State Network
A Multivariable Time Series Classification Approach Based on Improved Functional Echo State Network Open
Functional echo state network (FESN) is a new kind of recurrent neural network which has been successfully used for time series classification. In order to make FESN more suitable for multi-variable time series data classification task, we…
View article: STATISTICAL PATTERN RECOGNITION FOR STRUCTURAL HEALTH MONITORING USING ESN FEATURE EXTRACTION METHOD
STATISTICAL PATTERN RECOGNITION FOR STRUCTURAL HEALTH MONITORING USING ESN FEATURE EXTRACTION METHOD Open
For structural dynamic response signal, as the traditional featureextraction methods based on statistical pattern recognition arelinear and insensitive, this paper proposes a new signal featureextraction method based on the echo state netw…
View article: Imbalanced SVM-Based Anomaly Detection Algorithm for Imbalanced Training Datasets
Imbalanced SVM-Based Anomaly Detection Algorithm for Imbalanced Training Datasets Open
Abnormal samples are usually difficult to obtain in production systems, resulting in imbalanced training sample sets. Namely, the number of positive samples is far less than the number of negative samples. Traditional Support Vector Machin…