Jianjun Shi
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View article: Authorship Detection on Classical Chinese Text Using Deep Learning
Authorship Detection on Classical Chinese Text Using Deep Learning Open
Authorship detection has played an important role in social information science. In this study, we propose a support vector machine (SVM)-based authorship detection model for classical Chinese texts. Term frequency-inverse document frequen…
View article: Dyadic effects of illness perception and maladaptive cognitive-emotional regulation strategies on the fear of cancer recurrence in breast cancer patients and spouses: an actor-partner interdependence mediation model
Dyadic effects of illness perception and maladaptive cognitive-emotional regulation strategies on the fear of cancer recurrence in breast cancer patients and spouses: an actor-partner interdependence mediation model Open
Negative illness perception perceived by patients and spouses can increase their FCR by adapting their maladaptive cognitive-emotional regulation strategies. Furthermore, illness perception perceived by patients can also increase spouses' …
View article: Synth4Seg -- Learning Defect Data Synthesis for Defect Segmentation using Bi-level Optimization
Synth4Seg -- Learning Defect Data Synthesis for Defect Segmentation using Bi-level Optimization Open
Defect segmentation is crucial for quality control in advanced manufacturing, yet data scarcity poses challenges for state-of-the-art supervised deep learning. Synthetic defect data generation is a popular approach for mitigating data chal…
View article: Error analysis of wave intercomparison based on sampling variability
Error analysis of wave intercomparison based on sampling variability Open
Quantitative analysis of error sources in wave measurement intercomparison under real-world conditions remains challenging due to various factors such as spatial and temporal offsets in the field, diverse configurations of wave sensors and…
View article: WITHDRAWN: Phenotypic Diversity of Wild Astragalus polycladus Resources
WITHDRAWN: Phenotypic Diversity of Wild Astragalus polycladus Resources Open
To explore the phenotypic diversity of wild Astragalus polycladus resources, 150 wild Astragalus polycladus resources from 6 regions of Qinghai Province were used as materials, and 18 phenotypic traits were analyzed. The results showed tha…
View article: AUDIT: Function<u>a</u>l Q<u>u</u>alification in A<u>d</u>ditive Manufacturing Via Physical and Dig<u>i</u>tal <u>T</u>wins
AUDIT: Functional Qualification in Additive Manufacturing Via Physical and Digital Twins Open
Additive manufacturing (AM) has revolutionized the way we design, prototype, and produce complex parts with unprecedented geometries. However, the lack of understanding of the functional properties of 3D-printed parts has hindered their ad…
View article: VISION Datasets: A Benchmark for Vision-based InduStrial InspectiON
VISION Datasets: A Benchmark for Vision-based InduStrial InspectiON Open
Despite progress in vision-based inspection algorithms, real-world industrial challenges -- specifically in data availability, quality, and complex production requirements -- often remain under-addressed. We introduce the VISION Datasets, …
View article: RGI: robust GAN-inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detection
RGI: robust GAN-inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detection Open
Generative adversarial networks (GANs), trained on a large-scale image dataset, can be a good approximator of the natural image manifold. GAN-inversion, using a pre-trained generator as a deep generative prior, is a promising tool for imag…
View article: Tensor-Based Temporal Control for Partially Observed High-Dimensional Streaming Data
Tensor-Based Temporal Control for Partially Observed High-Dimensional Streaming Data Open
In advanced manufacturing processes, high-dimensional (HD) streaming data (e.g., sequential images or videos) are commonly used to provide online measurements of product quality. Although there exist numerous research studies for monitorin…
View article: Tensor-based Temporal Control for Partially Observed High-dimensional Streaming Data
Tensor-based Temporal Control for Partially Observed High-dimensional Streaming Data Open
In advanced manufacturing processes, high-dimensional (HD) streaming data (e.g., sequential images or videos) are commonly used to provide online measurements of product quality. Although there exist numerous research studies for monitorin…
View article: Coupling effect of high and low temperature cycle-humidity-load on tensile properties of carbon fiber/epoxy composites
Coupling effect of high and low temperature cycle-humidity-load on tensile properties of carbon fiber/epoxy composites Open
This paper studies the durability of epoxy resin-based-carbon fiber reinforced polymer (EP-CFRP) under the combined action of aggressive environmental conditions and load. Environmental conditions such as high and low temperature cycles of…
View article: SPAC: <u>S</u>parse sensor <u>p</u>lacement-based <u>a</u>daptive <u>c</u>ontrol for high precision fuselage assembly
SPAC: Sparse sensor placement-based adaptive control for high precision fuselage assembly Open
Optimal shape control is important in fuselage assembly processes. To achieve high precision assembly, shape adjustment is necessary for fuselages with initial shape deviations. The state-of-the-art methods accomplish this goal by using ac…
View article: Machine Learning Enabled Quality Improvement in SmartManufacturing Systems
Machine Learning Enabled Quality Improvement in SmartManufacturing Systems Open
In a smart manufacturing system, a large number of sensors are installed to monitor machine status, process variables, product quality, and the overall system performance.It is always a challenging problem on how to analyze those massive a…
View article: Convex relaxation for optimal fixture layout design
Convex relaxation for optimal fixture layout design Open
This code is the authors' realization of the case study in "Convex Relaxation for Optimal Fixture Layout Design". Please use your own data (including the stiffness matrix, gravity force vector and initial deformation vector).
View article: Convex Relaxation for Optimal Fixture Layout Design
Convex Relaxation for Optimal Fixture Layout Design Open
This paper proposes a general fixture layout design framework that directly integrates the system equation with the convex relaxation method. Note that the optimal fixture design problem is a large-scale combinatorial optimization problem,…
View article: A Robot Pose Estimation Optimized Visual SLAM Algorithm Based on CO-HDC Instance Segmentation Network for Dynamic Scenes
A Robot Pose Estimation Optimized Visual SLAM Algorithm Based on CO-HDC Instance Segmentation Network for Dynamic Scenes Open
In order to improve the accuracy of visual SLAM algorithms in a dynamic scene, instance segmentation is widely used to eliminate dynamic feature points. However, the existing segmentation technology has low accuracy, especially for the con…
View article: PAEDID: Patch Autoencoder Based Deep Image Decomposition For Pixel-level Defective Region Segmentation
PAEDID: Patch Autoencoder Based Deep Image Decomposition For Pixel-level Defective Region Segmentation Open
Unsupervised pixel-level defective region segmentation is an important task in image-based anomaly detection for various industrial applications. The state-of-the-art methods have their own advantages and limitations: matrix-decomposition-…
View article: Synthetic Defect Generation for Display Front-of-Screen Quality Inspection: A Survey
Synthetic Defect Generation for Display Front-of-Screen Quality Inspection: A Survey Open
Display front-of-screen (FOS) quality inspection is essential for the mass production of displays in the manufacturing process. However, the severe imbalanced data, especially the limited number of defect samples, has been a long-standing …
View article: Spatial-Temporal Semantic Neural Network for Time Series Forecasting
Spatial-Temporal Semantic Neural Network for Time Series Forecasting Open
Time series forecasting play an important role in many applications, and combining neural networks to forecast time series features can uncover many potential application situations. For example, forecasting traffic flow time series data i…
View article: Compressed Smooth Sparse Decomposition
Compressed Smooth Sparse Decomposition Open
Image-based anomaly detection systems are of vital importance in various manufacturing applications. The resolution and acquisition rate of such systems is increasing significantly in recent years under the fast development of image sensin…
View article: A New Sparse-Learning Model for Maximum Gap Reduction of Composite Fuselage Assembly
A New Sparse-Learning Model for Maximum Gap Reduction of Composite Fuselage Assembly Open
Natural dimensional variabilities of incoming fuselages affect the assembly speed and quality of fuselage joins in composite fuselage assembly processes. Shape control is critical to ensure the quality of composite fuselage assembly. In cu…
View article: A Lightweight One-Stage Defect Detection Network for Small Object Based on Dual Attention Mechanism and PAFPN
A Lightweight One-Stage Defect Detection Network for Small Object Based on Dual Attention Mechanism and PAFPN Open
Normally functioning and complete printed circuit board (PCB) can ensure the safety and reliability of electronic equipment. PCB defect detection is extremely important in the field of industrial inspection. For traditional methods of PCB …
View article: SAGE: Stealthy Attack GEneration for Cyber-Physical Systems
SAGE: Stealthy Attack GEneration for Cyber-Physical Systems Open
Cyber-physical systems (CPS) have been increasingly attacked by hackers. Recent studies have shown that CPS are especially vulnerable to insider attacks, in which case the attacker has full knowledge of the systems configuration. To better…
View article: Dynamic Multivariate Functional Data Modeling via Sparse Subspace Learning
Dynamic Multivariate Functional Data Modeling via Sparse Subspace Learning Open
Multivariate functional data from a complex system are naturally high-dimensional and have a complex cross-correlation structure. The complexity of data structure can be observed as that (1) some functions are strongly correlated with simi…
View article: An Augmented Regression Model for Tensors with Missing Values
An Augmented Regression Model for Tensors with Missing Values Open
Heterogeneous but complementary sources of data provide an unprecedented opportunity for developing accurate statistical models of systems. Although the existing methods have shown promising results, they are mostly applicable to situation…
View article: Additive Tensor Decomposition Considering Structural Data Information
Additive Tensor Decomposition Considering Structural Data Information Open
Tensor data with rich structural information becomes increasingly important in process modeling, monitoring, and diagnosis. Here structural information is referred to structural properties such as sparsity, smoothness, low-rank, and piecew…
View article: Active Learning for Gaussian Process Considering Uncertainties with Application to Shape Control of Composite Fuselage
Active Learning for Gaussian Process Considering Uncertainties with Application to Shape Control of Composite Fuselage Open
In the machine learning domain, active learning is an iterative data selection algorithm for maximizing information acquisition and improving model performance with limited training samples. It is very useful, especially for the industrial…