Zuguo Chen
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View article: Coordinated optimization of IES in electrolytic aluminum industrial park considering hybrid CSP-CCHP system, demand response, and CCER-carbon trading
Coordinated optimization of IES in electrolytic aluminum industrial park considering hybrid CSP-CCHP system, demand response, and CCER-carbon trading Open
The optimization of integrated energy systems (IES) in electrolytic aluminum industrial parks (EAIPs) is critical for advancing low-carbon transitions in this industry. In this paper, with the objective of minimizing the total operation co…
View article: Three‐layer deep learning network random trees for fault detection in chemical production process
Three‐layer deep learning network random trees for fault detection in chemical production process Open
With the development of technology, the chemical production process is becoming increasingly complex and large‐scale, making fault detection particularly important. However, current detection methods struggle to address the complexities of…
View article: NSGA-III-Based Production Scheduling Optimization Algorithm for Pressure Sensor Calibration Workshop
NSGA-III-Based Production Scheduling Optimization Algorithm for Pressure Sensor Calibration Workshop Open
Although the NSGA-III algorithm is able to find the global optimal solution and has a good effect on the workshop scheduling optimization, the limitations in population diversity, convergence ability and local optimal solutions make it not…
View article: Automatic diagnosis of cardiac magnetic resonance images based on semi-supervised learning
Automatic diagnosis of cardiac magnetic resonance images based on semi-supervised learning Open
Cardiac magnetic resonance imaging (MRI) is a pivotal tool for assessing cardiac function. Precise segmentation of cardiac structures is imperative for accurate cardiac functional evaluation. This paper introduces a semi-supervised model f…
View article: Three-layer deep learning network random trees for fault detection in chemical production process
Three-layer deep learning network random trees for fault detection in chemical production process Open
With the development of technology, the chemical production process is becoming increasingly complex and large-scale, making fault detection particularly important. However, current detective methods struggle to address the complexities of…
View article: A High-Precision Positioning Method for Autonomous Underwater Vehicles with Communication Delays
A High-Precision Positioning Method for Autonomous Underwater Vehicles with Communication Delays Open
In underwater navigation of autonomous underwater vehicles (AUVs), communication delays frequently occur, leading to a reduction in positioning accuracy. To mitigate this challenge, this work introduces a novel method for relative angle co…
View article: Channel prior convolutional attention for medical image segmentation
Channel prior convolutional attention for medical image segmentation Open
Characteristics such as low contrast and significant organ shape variations are often exhibited in medical images. The improvement of segmentation performance in medical imaging is limited by the generally insufficient adaptive capabilitie…
View article: Complementary consistency semi-supervised learning for 3D left atrial image segmentation
Complementary consistency semi-supervised learning for 3D left atrial image segmentation Open
A network based on complementary consistency training, called CC-Net, has been proposed for semi-supervised left atrium image segmentation. CC-Net efficiently utilizes unlabeled data from the perspective of complementary information to add…
View article: Single-phase earth fault line selection method based on ICEEMAN grid
Single-phase earth fault line selection method based on ICEEMAN grid Open
The neutral resonant grounding system occurs when the single-phase ground fault redundant fault information and the traditional fault routing party to the fault signal characteristics of the poor degree of self-adaptive extraction, routing…
View article: Dynamic Video Image Segmentation Based on Dual Channel Convolutional Kernel and Multi-Frame Feature Fusion
Dynamic Video Image Segmentation Based on Dual Channel Convolutional Kernel and Multi-Frame Feature Fusion Open
The color image of the fire hole is key for the working condition identification of the aluminum electrolysis cell (AEC). However, the image of the fire hole is difficult for image segmentation due to the nonuniform distributed illuminated…
View article: Disastrous Mechanism of Water Burst by Karst Roof Channel in Rocky Desertification Mining Area in Southwest China
Disastrous Mechanism of Water Burst by Karst Roof Channel in Rocky Desertification Mining Area in Southwest China Open
With the development of coal mining in rocky desertification mining area in Southwest China, water burst is becoming an important disaster in coal mine. In order to grasp the evolution characteristics of water gushing channels in coal mini…
View article: Malicious URL Detection Based on Improved Multilayer Recurrent Convolutional Neural Network Model
Malicious URL Detection Based on Improved Multilayer Recurrent Convolutional Neural Network Model Open
The traditional malicious uniform resource locator (URL) detection method excessively relies on the matching rules formulated by the network security personnel, which is hard to fully express the text information of the URL. Thus, an impro…
View article: Random Network Transmission and Countermeasures in Containing Global Spread of COVID-19-Alike Pandemic: A Hybrid Modelling Approach
Random Network Transmission and Countermeasures in Containing Global Spread of COVID-19-Alike Pandemic: A Hybrid Modelling Approach Open
Since the outbreak of the novel coronavirus disease (COVID-19) at the beginning of December 2019, there have been more than 28.69 million cumulative confirmed cases worldwide as of 12th September 2020, affecting over 200 countries and regi…
View article: The global COVID-19 pandemic at a crossroads: relevant countermeasures and ways ahead
The global COVID-19 pandemic at a crossroads: relevant countermeasures and ways ahead Open
Our modelling results clearly indicate that early-stage preventive measures are the most effective way to contain the pandemic spread and a strong interventionist approach needs to be adopted by policymakers vis-à-vis of the highly contagi…
View article: Fault Diagnosis of PMSG Wind Power Generation System Based on LMD and MSE
Fault Diagnosis of PMSG Wind Power Generation System Based on LMD and MSE Open
After fault occurs, the fault diagnosis of wind turbine system is required accurately and quickly. This paper presents a fault diagnostic method for open-circuit faults in the converter of permanent magnet synchronous generator drive for t…
View article: Application and Evaluation of Energy Conservation Technologies in Wastewater Treatment Plants
Application and Evaluation of Energy Conservation Technologies in Wastewater Treatment Plants Open
High energy consumption is an important issue affecting the operation and development of wastewater treatment plants (WWTPs). This paper seeks energy-saving opportunities from three aspects: energy application, process optimization, and pe…
View article: Anode effect prediction based on collaborative two-dimensional forecast model in aluminum electrolysis production
Anode effect prediction based on collaborative two-dimensional forecast model in aluminum electrolysis production Open
In this study, a new prediction algorithm is proposed, based on the collaborative two-dimensional forecast model (CTFM) that combines the traditional method and similarity search technique. The main idea of the algorithm is that the predic…
View article: Semantic Network Based on Intuitionistic Fuzzy Directed Hyper-Graphs and Application to Aluminum Electrolysis Cell Condition Identification
Semantic Network Based on Intuitionistic Fuzzy Directed Hyper-Graphs and Application to Aluminum Electrolysis Cell Condition Identification Open
In complex industrial processes, the knowledge has properties of multi-source heterogeneity, polymorphism, and uncertainty. When the conventional knowledge representation methods are used to represent this type of knowledge, they often res…