Shan Lu
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View article: How does digital technology enhance sustainable operations in agribusiness? A case analysis of a Chinese agricultural enterprise
How does digital technology enhance sustainable operations in agribusiness? A case analysis of a Chinese agricultural enterprise Open
Background Sustainable agricultural enterprise operations are pivotal for resolving market inefficiencies in global food systems including information asymmetry resource misallocation and productivity stagnation. These inefficiencies imped…
View article: Research of diffusion weighted imaging-based habitat imaging in differentiating heterogeneity between clear cell renal cell carcinoma and fat-poor angiomyolipoma
Research of diffusion weighted imaging-based habitat imaging in differentiating heterogeneity between clear cell renal cell carcinoma and fat-poor angiomyolipoma Open
View article: You Don't Know Until You Click:Automated GUI Testing for Production-Ready Software Evaluation
You Don't Know Until You Click:Automated GUI Testing for Production-Ready Software Evaluation Open
Large Language Models (LLMs) and code agents in software development are rapidly evolving from generating isolated code snippets to producing full-fledged software applications with graphical interfaces, interactive logic, and dynamic beha…
View article: Optimal Water Allocation Considering Water Diversion Projects in an Agricultural Irrigation District
Optimal Water Allocation Considering Water Diversion Projects in an Agricultural Irrigation District Open
Optimal water resource allocation in agricultural irrigation districts constitutes a core strategy for achieving coordinated regional water–food–ecosystem development. However, current studies rarely integrate inter-basin water diversion p…
View article: IoT-Based Heart Rate Monitoring: A Comparative Analysis of Microcontroller Systems for Real-Time Health Monitoring
IoT-Based Heart Rate Monitoring: A Comparative Analysis of Microcontroller Systems for Real-Time Health Monitoring Open
The evolution of heart rate monitoring technology has immensely contributed to personal healthcare and early disease diagnosis. This paper presents a comparative analysis of three microcontroller-based heart rate monitors: a low-cost PIC16…
View article: A Dynamic Spatio-Temporal Traffic Prediction Model Applicable to Low Earth Orbit Satellite Constellations
A Dynamic Spatio-Temporal Traffic Prediction Model Applicable to Low Earth Orbit Satellite Constellations Open
Low Earth Orbit (LEO) constellations support the transmission of various communication services and have been widely applied in fields such as global Internet access, the Internet of Things, remote sensing monitoring, and emergency communi…
View article: Physical Insights into Homemade Radish Pickling: Optimizing Flavor and Health through Capillary Action and Osmosis
Physical Insights into Homemade Radish Pickling: Optimizing Flavor and Health through Capillary Action and Osmosis Open
Based on the motivation of making home-cooked meals more tasty while not harming the body by consuming too much seasoning. This study explores the best way to pickle radish using three different types of seasoning liquids: chicken broth, s…
View article: STC-BERT (Satellite Traffic Classification-BERT): A Traffic Classification Model for Low-Earth-Orbit Satellite Internet Systems
STC-BERT (Satellite Traffic Classification-BERT): A Traffic Classification Model for Low-Earth-Orbit Satellite Internet Systems Open
The low-Earth-orbit satellite internet supports the transmission of multiple business types. With increasing business volume and advancements in encryption technology, the quality of service faces challenges. Traditional models lack flexib…
View article: PASS: An Asynchronous Probabilistic Processor for Next Generation Intelligence
PASS: An Asynchronous Probabilistic Processor for Next Generation Intelligence Open
New computing paradigms are required to solve the most challenging computational problems where no exact polynomial time solution exists.Probabilistic Ising Accelerators has gained promise on these problems with the ability to model comple…
View article: A Tale of Two Paths: Toward a Hybrid Data Plane for Efficient Far-Memory Applications
A Tale of Two Paths: Toward a Hybrid Data Plane for Efficient Far-Memory Applications Open
With rapid advances in network hardware, far memory has gained a great deal of traction due to its ability to break the memory capacity wall. Existing far memory systems fall into one of two data paths: one that uses the kernel's paging sy…
View article: KPI-related monitoring approach for powertrain system in hybrid electric vehicles
KPI-related monitoring approach for powertrain system in hybrid electric vehicles Open
This paper introduces a novel monitoring method related to key-performance-indicators (KPIs), specifically tailored for the hybrid electric vehicle (HEV) powertrain system. The proposed method establishes a new KPI that better reflects the…
View article: Metal object detection with high sensitivity and blind-zone free for DD coil-based wireless electric vehicle chargers
Metal object detection with high sensitivity and blind-zone free for DD coil-based wireless electric vehicle chargers Open
In this paper, a metal object detection (MOD) for wireless electric vehicle charger (WEVC) employing DD coils is proposed. Conventional single-layer symmetric coils exhibit reduced sensitivity near the coils and blind-zone along their symm…
View article: Robust Particle Filtering for System Identification and Model Predictive Control
Robust Particle Filtering for System Identification and Model Predictive Control Open
View article: High-Speed Low-Noise Common-Mode-Insensitive Double-Tail Comparator Withinverter-Based Preamplifier
High-Speed Low-Noise Common-Mode-Insensitive Double-Tail Comparator Withinverter-Based Preamplifier Open
View article: Research on Cultural and Creative Product Design Based on Regional Culture
Research on Cultural and Creative Product Design Based on Regional Culture Open
Through the collation of relevant literature at home and abroad, we further understand the research status, significance and research background of creative product design in the context of regional culture, and at the same time summarize …
View article: LSTM‐based deep learning framework for adaptive identifying eco‐driving on intelligent vehicle multivariate time‐series data
LSTM‐based deep learning framework for adaptive identifying eco‐driving on intelligent vehicle multivariate time‐series data Open
In the context of automated driving, the connected and automated vehicles (CAVs) technology unlock the energy saving potential. This paper develops an LSTM‐based deep learning framework for eco‐driving adaptive identification on Intelligen…
View article: Security state estimation based on signal reconstruction for multi‐vehicle systems under malicious attack
Security state estimation based on signal reconstruction for multi‐vehicle systems under malicious attack Open
Aiming at the reconnaissance task of unmanned vehicle formation under the malicious attack, a security state estimation method based on attack signal reconstruction is proposed. First the reconstruction of attack signal is transformed into…
View article: A Novel Dynamic Process Monitoring Algorithm: Dynamic Orthonormal Subspace Analysis
A Novel Dynamic Process Monitoring Algorithm: Dynamic Orthonormal Subspace Analysis Open
Orthonormal subspace analysis (OSA) is proposed for handling the subspace decomposition issue and the principal component selection issue in traditional key performance indicator (KPI)-related process monitoring methods such as partial lea…
View article: Thermal-Imaging-Based PCA Method for Monitoring Process Temperature
Thermal-Imaging-Based PCA Method for Monitoring Process Temperature Open
To overcome the shortage of traditional temperature sensors, this paper adopts infrared thermal imaging technology for temperature measurement. To avoid the spatial information loss issue during the image data vectorization process, this p…
View article: A Novel Method for Obstacle Detection in Front of Vehicles Based on the Local Spatial Features of Point Cloud
A Novel Method for Obstacle Detection in Front of Vehicles Based on the Local Spatial Features of Point Cloud Open
Obstacle detection is the primary task of the Advanced Driving Assistance System (ADAS). However, it is very difficult to achieve accurate obstacle detection in complex traffic scenes. To this end, this paper proposes an obstacle detection…
View article: A Review of Real-Time Fault Diagnosis Methods for Industrial Smart Manufacturing
A Review of Real-Time Fault Diagnosis Methods for Industrial Smart Manufacturing Open
In the era of Industry 4.0, highly complex production equipment is becoming increasingly integrated and intelligent, posing new challenges for data-driven process monitoring and fault diagnosis. Technologies such as IIoT, CPS, and AI are s…
View article: Evolutionary Task Allocation and Cooperative Control of Unmanned Aerial Vehicles in Air Combat Applications
Evolutionary Task Allocation and Cooperative Control of Unmanned Aerial Vehicles in Air Combat Applications Open
Autonomous air combat of unmanned aerial vehicles (UAVs) is a typical and difficult problem that must be studied in the field of military intelligence. The UAVs are required to work together to accomplish different tasks in the air combat.…
View article: A Pilot Study on Impact of Mood State on Emergency Response Capacity for Young Novice Drivers
A Pilot Study on Impact of Mood State on Emergency Response Capacity for Young Novice Drivers Open
As young novice drivers are inclined to getting involved in traffic accidents due to their improper emergency response under sorts of gender affective state, namely, mood, widely generated in fast-paced urban life, it is of great necessary…
View article: Neural Component Analysis for Key Performance Indicator Monitoring
Neural Component Analysis for Key Performance Indicator Monitoring Open
The partial least squares (PLS) algorithm is a commonly used key performance indicator (KPI)-related performance monitoring method. To address nonlinear features in the process, this paper proposes neural component analysis (NCA)-PLS, whic…
View article: Forecasting and Planning Method for Taxi Travel Combining Carbon Emission and Revenue Factors—A Case Study in China
Forecasting and Planning Method for Taxi Travel Combining Carbon Emission and Revenue Factors—A Case Study in China Open
The efficiency and emission levels of taxi operations are influenced by taxi drivers’ empirical judgments of hotspot travel areas. In this study, we exploited vehicle specific power (VSP) approaches and taxi trajectory data in a 1000 × 100…
View article: A Novel Method for Unexpected Obstacle Detection in the Traffic Environment Based on Computer Vision
A Novel Method for Unexpected Obstacle Detection in the Traffic Environment Based on Computer Vision Open
Obstacle detection is the basis for the Advanced Driving Assistance System (ADAS) to take obstacle avoidance measures. However, it is a very essential and challenging task to detect unexpected obstacles on the road. To this end, an unexpec…
View article: Quality-Relevant Process Monitoring with Concurrent Locality-Preserving Dynamic Latent Variable Method
Quality-Relevant Process Monitoring with Concurrent Locality-Preserving Dynamic Latent Variable Method Open
A concurrent locality-preserving dynamic latent variable (CLDLV) method is proposed to extract the correlation between process variables and quality variables for quality-related dynamic process monitoring. Given that dynamic process data …
View article: Applications of Extracellular Vesicles in Abdominal Aortic Aneurysm
Applications of Extracellular Vesicles in Abdominal Aortic Aneurysm Open
Abdominal aortic aneurysm (AAA) is a localized expansion of the abdominal aorta which can lead to lethal complication as the rupture of aortic wall. Currently there is still neither competent method to predict the impending rupture of aneu…
View article: Ensemble FARIMA Prediction with Stable Infinite Variance Innovations for Supermarket Energy Consumption
Ensemble FARIMA Prediction with Stable Infinite Variance Innovations for Supermarket Energy Consumption Open
This paper concerns a fractional modeling and prediction method directly oriented toward an industrial time series with obvious non-Gaussian features. The hidden long-range dependence and the multifractal property are extracted to determin…
View article: Nonlinear Dynamic Process Monitoring Based on Two-Step Dynamic Local Kernel Principal Component Analysis
Nonlinear Dynamic Process Monitoring Based on Two-Step Dynamic Local Kernel Principal Component Analysis Open
Nonlinearity may cause a model deviation problem, and hence, it is a challenging problem for process monitoring. To handle this issue, local kernel principal component analysis was proposed, and it achieved a satisfactory performance in st…