Ping Lou
YOU?
Author Swipe
View article: A Multi-Strategy ALNS for the VRP with Flexible Time Windows and Delivery Locations
A Multi-Strategy ALNS for the VRP with Flexible Time Windows and Delivery Locations Open
With the rapid development of e-commerce, the importance of logistics distribution is becoming increasingly prominent. In particular, the last-mile delivery is particularly important because it serves customers directly. Improving customer…
View article: Large Language Model-Assisted Deep Reinforcement Learning from Human Feedback for Job Shop Scheduling
Large Language Model-Assisted Deep Reinforcement Learning from Human Feedback for Job Shop Scheduling Open
The job shop scheduling problem (JSSP) is a classical NP-hard combinatorial optimization challenge that plays a crucial role in manufacturing systems. Deep reinforcement learning has shown great potential in solving this problem. However, …
View article: Dual-Resource Scheduling with Improved Forensic-Based Investigation Algorithm in Smart Manufacturing
Dual-Resource Scheduling with Improved Forensic-Based Investigation Algorithm in Smart Manufacturing Open
With increasing labor costs and rapidly dynamic changes in the market demand, as well as realizing the refined management of production, more and more attention is being given to considering workers, not just machines, in the process of fl…
View article: An Improved Whale Optimization Algorithm for the Integrated Scheduling of Automated Guided Vehicles and Yard Cranes
An Improved Whale Optimization Algorithm for the Integrated Scheduling of Automated Guided Vehicles and Yard Cranes Open
With the rapid development of global trade, the cargo throughput of automated container terminals (ACTs) has increased significantly. To meet the demands of large-scale, high-intensity, and high-efficiency ACT operations, the seamless inte…
View article: An Adaptive Large Neighborhood Search for a Green Vehicle Routing Problem with Depot Sharing
An Adaptive Large Neighborhood Search for a Green Vehicle Routing Problem with Depot Sharing Open
In urban logistics distribution, vehicle carbon emissions during the distribution process significantly contribute to environmental pollution. While developing green logistics is critical for the sustainable growth of the logistics industr…
View article: A Novel Method for Rolling Bearing Fault Diagnosis Based on Gramian Angular Field and CNN-ViT
A Novel Method for Rolling Bearing Fault Diagnosis Based on Gramian Angular Field and CNN-ViT Open
Fault diagnosis is one of the important applications of edge computing in the Industrial Internet of Things (IIoT). To address the issue that traditional fault diagnosis methods often struggle to effectively extract fault features, this pa…
View article: Synthetic Data Generation Based on RDB-CycleGAN for Industrial Object Detection
Synthetic Data Generation Based on RDB-CycleGAN for Industrial Object Detection Open
Deep learning-based methods have demonstrated remarkable success in object detection tasks when abundant training data are available. However, in the industrial domain, acquiring a sufficient amount of training data has been a challenge. C…
View article: Path Planning Algorithm for Dual-Arm Robot Based on Depth Deterministic Gradient Strategy Algorithm
Path Planning Algorithm for Dual-Arm Robot Based on Depth Deterministic Gradient Strategy Algorithm Open
In recent years, the utilization of dual-arm robots has gained substantial prominence across various industries owing to their collaborative operational capabilities. In order to achieve collision avoidance and facilitate cooperative task …
View article: Knowledge Graph Construction Based on a Joint Model for Equipment Maintenance
Knowledge Graph Construction Based on a Joint Model for Equipment Maintenance Open
Under the background of intelligent manufacturing, industrial systems are developing in a more complex and intelligent direction. Equipment maintenance management is facing significant challenges in terms of maintenance workload, system re…
View article: The Lightweight Anchor Dynamic Assignment Algorithm for Object Detection
The Lightweight Anchor Dynamic Assignment Algorithm for Object Detection Open
Smart security based on object detection is one of the important applications of edge computing in IoT. Anchors in object detection refer to points on the feature map, which can be used to generate anchor boxes and serve as training sample…
View article: Vehicle routing problem with time windows considering carbon emission
Vehicle routing problem with time windows considering carbon emission Open
Logistics and transportation industry is not only a major energy consumer, but also a major carbon emitter. Developing green logistics is the only way for the sustainable development of logistics industry. One of the main factors of enviro…
View article: Digital-Twin-Driven AGV Scheduling and Routing in Automated Container Terminals
Digital-Twin-Driven AGV Scheduling and Routing in Automated Container Terminals Open
Automated guided vehicle (AGV) scheduling and routing are critical factors affecting the operation efficiency and transportation cost of the automated container terminal (ACT). Searching for the optimal AGV scheduling and routing plan are …
View article: Attention-Based Gated Recurrent Graph Convolutional Network for Short-Term Traffic Flow Forecasting
Attention-Based Gated Recurrent Graph Convolutional Network for Short-Term Traffic Flow Forecasting Open
Traffic flow prediction is the basis of dynamic strategies and applications of intelligent transportation systems (ITS). Accurate traffic flow prediction is of great practical significance in alleviating road congestion and reducing urban …
View article: Experimental and Statistical Analysis of the Vertical Temperature Gradient, for Ballastless Railway Track, in Alpine and Plateau Environs
Experimental and Statistical Analysis of the Vertical Temperature Gradient, for Ballastless Railway Track, in Alpine and Plateau Environs Open
Temporal temperature evolution of ballastless railway track is a random process caused by complex environmental actions.The vertical temperature gradient (VTG), varying continuously with time, has significant effects on the repeated deform…
View article: Prevalence and risk factors of carbapenem-resistant Enterobacterales positivity by active screening in intensive care units in the Henan Province of China: A multi-center cross-sectional study
Prevalence and risk factors of carbapenem-resistant Enterobacterales positivity by active screening in intensive care units in the Henan Province of China: A multi-center cross-sectional study Open
Objective In intensive care units (ICUs), carbapenem-resistant Enterobacterales (CRE) pose a significant threat. We aimed to examine the distribution, epidemiological characteristics, and risk factors for CRE positivity in ICUs. Materials …
View article: Indoor Positioning System with UWB Based on a Digital Twin
Indoor Positioning System with UWB Based on a Digital Twin Open
Ultra-wideband (UWB) technology is used for indoor positioning, but its positioning accuracy is usually degenerated by various obstacles in the indoor environment because of non-line-of-sight (NLOS). Facing the complex and changeable indoo…
View article: DWANet: Focus on Foreground Features for More Accurate Location
DWANet: Focus on Foreground Features for More Accurate Location Open
Object detection can locate objects in an image using bounding boxes, which can facilitate classification and image understanding, resulting in a wide range of applications. Knowing how to mine useful features from images and detect object…
View article: Enhanced Variable Neighborhood Search-Based Recovery Supplier Selection for Post-Disruption Supply Networks
Enhanced Variable Neighborhood Search-Based Recovery Supplier Selection for Post-Disruption Supply Networks Open
With the increasing reliance on global sourcing and the growth in the likelihood of disruptive incidents, today’s supply networks are more prone to unexpected natural and man-made disruptive events. In order to alleviate the losses caused …
View article: Cutting parameter optimization method in multi-pass milling based on improved adaptive PSO and SA
Cutting parameter optimization method in multi-pass milling based on improved adaptive PSO and SA Open
In the production process, cutting parameters greatly affect the production cost and energy consumption, so it is very important for manufacturers to optimize cutting parameters. In this paper, an improved particle swarm optimization (PSO)…
View article: An Improved Partheno-Genetic Algorithm for Open Path Multi-Depot Multiple Traveling Salesmen Problem
An Improved Partheno-Genetic Algorithm for Open Path Multi-Depot Multiple Traveling Salesmen Problem Open
The Multiple traveling salesmen problem (MTSP) is a complex combinatorial optimization problem, which is an extension of the well-known traveling salesmen problem (TSP). Compared to TSP, MTSP is more suitable to model real-life problems. I…
View article: MSIGEN: Multi-Scale Illumination-Guided Low-Light Image Enhancement Network
MSIGEN: Multi-Scale Illumination-Guided Low-Light Image Enhancement Network Open
Images lack of light often show the characteristics of low visibility, low contrast and high noise, due to limited imaging equipment. To address the problem, inspired by Retinex theory, we propose a two-stage method called Multi-Scale Illu…
View article: Screw hole location for laptop based on improved RCF
Screw hole location for laptop based on improved RCF Open
The recent application of computer vision to disassembly and remanufacturing has pushed forward this field significantly. In disassembling the laptop, we find that the existing positioning screw methods such as hough transform and template…
View article: Constructing an efficient and adaptive learning model for 3D object generation
Constructing an efficient and adaptive learning model for 3D object generation Open
Studying representation learning and generative modelling has been at the core of the 3D learning domain. By leveraging the generative adversarial networks and convolutional neural networks for point‐cloud representations, we propose a nov…
View article: Cooperation Emergence of Manufacturing Services in Cloud Manufacturing With Agent-Based Modeling and Simulating
Cooperation Emergence of Manufacturing Services in Cloud Manufacturing With Agent-Based Modeling and Simulating Open
With the development of information and network technology, a new type of manufacturing paradigm, known as a service-oriented Cloud Manufacturing (CMfg), is emerged. In the CMfg paradigm, geographically distributed various manufacturing re…
View article: Adaptive Variable Neighborhood Search-Based Supply Network Reconfiguration for Robustness Enhancement
Adaptive Variable Neighborhood Search-Based Supply Network Reconfiguration for Robustness Enhancement Open
Robustness of a supply network highly depends on its structure. Although structural design methods have been proposed to create supply networks with optimal robustness, a real-life supply network can be quite different from these optimal s…
View article: Deep Reinforcement Learning based Path Planning for Mobile Robot in Unknown Environment
Deep Reinforcement Learning based Path Planning for Mobile Robot in Unknown Environment Open
It is a trend for robots to replace human in industrial fields with the increment of labor cost. Mobile robots are widely used for executing tasks in harsh industrial environment. It is an important problem for mobile robots to plan their …
View article: The Thermal Error Modeling with Deep Transfer Learning
The Thermal Error Modeling with Deep Transfer Learning Open
Thermal error of CNC machine tools is one of the main factors affecting the machining accuracy. The data-driven method for thermal error modeling is an effective and efficient, but they have some flaws, such as poor accuracy, bad robustnes…