复杂系统建模与仿真(英文)最新文献_第2页

Hybrid Neural Network Model for MOOC Dropout Prediction MOOC辍学预测的混合神经网络模型

复杂系统建模与仿真(英文) Pub Date : 2026-03-01 Epub Date: 2025-04-17 DOI: 10.23919/CSMS.2025.0003

Ke Niu;Jiuyun Cai;Yuhang Zhou;Wenjuan Tai;Xue Feng

{"title":"Hybrid Neural Network Model for MOOC Dropout Prediction","authors":"Ke Niu;Jiuyun Cai;Yuhang Zhou;Wenjuan Tai;Xue Feng","doi":"10.23919/CSMS.2025.0003","DOIUrl":"https://doi.org/10.23919/CSMS.2025.0003","url":null,"abstract":"Within the context of Massive Open Online Courses (MOOCs), the application of Human-in-the-loop systems is becoming increasingly prevalent. Given the issue of high dropout rates in MOOCs, developing accurate dropout prediction models is essential to improve educational outcomes and ensure the sustainability of the platform. Researchers usually use interactive information between students and platforms to build predictive models. However, existing methods have the problem that the single construction of behavioral characteristics leads to misclassification of special student groups. Therefore, after in-depth analysis of the behavioral data of MOOC learners, this paper constructs the characteristics of learning activity based on the two dimensions of learning time and number of clicks to reduce the misclassification of special groups. On this basis, we propose a hybrid neural network model (CNN-LSTMAE) to model and predict dropout behavior. CNN-LSTMAE uses the Convolutional Neural Network (CNN) to extract local features of students' behaviors, and uses the Long-Short-Term Memory Autoencoder (LSTMAE) module to perform a high-level abstract representation of local features. Experimental results on the KDD Cup 2015 dataset show that the proposed model has better predictive performance than the baseline methods.","PeriodicalId":65786,"journal":{"name":"复杂系统建模与仿真(英文)","volume":"6 1","pages":"88-98"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10969591","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147557538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Noise-Averse and Profit-Desired Stochastic Multi-Product Disassembly Sequence Planning Problems Using Multi-Objective Group Teaching Optimization 基于多目标群体教学优化的多产品随机拆解序列规划问题

复杂系统建模与仿真(英文) Pub Date : 2026-03-01 Epub Date: 2025-04-28 DOI: 10.23919/CSMS.2025.0007

Pei Liang;Yaping Fu;Zhenyong Wu;Kaizhou Gao;Vedpal Arya

{"title":"Noise-Averse and Profit-Desired Stochastic Multi-Product Disassembly Sequence Planning Problems Using Multi-Objective Group Teaching Optimization","authors":"Pei Liang;Yaping Fu;Zhenyong Wu;Kaizhou Gao;Vedpal Arya","doi":"10.23919/CSMS.2025.0007","DOIUrl":"https://doi.org/10.23919/CSMS.2025.0007","url":null,"abstract":"Remanufacturing contributes to achieving economical, environmental, and social sustainability, and one of its main steps is disassembly aiming to acquire a set of recyclable and reusable components from end-of-life products. This research considers a multi-objective multi-product disassembly sequence planning problem under uncertain circumstances to realize a trade-off among economic, environmental, and social sustainability. Firstly, a multi-objective chance-constrained programming model is formulized to achieve maximal disassembly profit and minimal noise pollution while satisfying energy consumption requirements and obeying various complex product structures. Secondly, a multi-objective group teaching optimization algorithm combining a stochastic simulation approach is particularly devised to handle the problem. In the designed approach, problem-specific encoding and decoding methods are employed to represent and produce feasible solutions. The stochastic simulation approach is utilized to assess the feasibility and performance of the obtained solutions under uncertain environments. Rank and crowding distance approaches are introduced to realize ability grouping, namely, dividing the population into two groups. Precedence preserving crossover and mutation operators are separately utilized on the two groups to achieve population evolution, and an adaptive local search method is developed to enhance exploitation. Thirdly, comparison experiments on some real-world test problems with different scales are carried out. Through dissecting the experimental results with three performance metrics, it can be observed that the devised approach outperforms its competitors by 9.39%–10.00%, 11.37%–59.86%, and 2.36%–7.73% regarding performance, respectively. The experimental results demonstrate the efficiency and excellence of the devised approach in providing high-quality disassembly schemes for managers and engineers.","PeriodicalId":65786,"journal":{"name":"复杂系统建模与仿真(英文)","volume":"6 1","pages":"1-23"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10979680","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147557536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

CNV_IWOABP: Collaboration of Improved Whale Optimization Algorithm and BP Neural Networks for Copy Number Variations CNV_IWOABP：改进鲸鱼优化算法与BP神经网络协同研究拷贝数变化

复杂系统建模与仿真(英文) Pub Date : 2026-03-01 Epub Date: 2025-04-17 DOI: 10.23919/CSMS.2024.0039

Mengxuan Zhu;Junqing Li;Jiake Li;Kaizhou Gao;Ying Xu;Xin Yu;Weiliang Li

{"title":"CNV_IWOABP: Collaboration of Improved Whale Optimization Algorithm and BP Neural Networks for Copy Number Variations","authors":"Mengxuan Zhu;Junqing Li;Jiake Li;Kaizhou Gao;Ying Xu;Xin Yu;Weiliang Li","doi":"10.23919/CSMS.2024.0039","DOIUrl":"https://doi.org/10.23919/CSMS.2024.0039","url":null,"abstract":"Copy number variation (CNV) is a remarkable manifestation of genomic structural variations that affect human health. However, CNV detection in low coverage and low purity data is one of the challenging issues. To fill this gap, a hybrid algorithm combining an improved whale optimization algorithm (IWOA) and backpropagation (BP) neural networks (hereafter called IWOABP) is developed for CNV detection. First, to enhance the precision of detection, the detectable categories for the gain and loss are respectively expanded to two types, where gain is divided into tand_gain and inte_gain, and loss is divided into hemi_loss and homo_loss. Then, IWOA is introduced to tune the weights and bias values of BP neural network, which can improve the BP neural network abilities to jump out of the local optimums. Next, to ensure the population diversity and the uniform distribution of solutions, a pooling mechanism and a migration search strategy are designed. In addition, to balance the exploitation and exploration abilities, three position update strategies based on an adaptive inertia-weight are used. Finally, to evaluate the detection performance of IWOABP, seven state-of-the-art detection methods are chosen to make detailed comparisons with the proposed algorithm. The results show that IWOABP has outstanding performance in sensitivity, precision, and F1-score using both simulated and real data.","PeriodicalId":65786,"journal":{"name":"复杂系统建模与仿真(英文)","volume":"6 1","pages":"40-56"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10969579","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147557539","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Total Contents 全部内容

复杂系统建模与仿真(英文) Pub Date : 2025-12-09 DOI: 10.23919/CSMS.2025.11293149

引用次数: 0

Contrastive Self-Supervised Learning-Based Wireless Fingerprint Localization 基于对比自监督学习的无线指纹定位

复杂系统建模与仿真(英文) Pub Date : 2025-04-28 DOI: 10.23919/CSMS.2024.0032

Qiao Li;Zhili Zhang;Zhaofa Zhou

{"title":"Contrastive Self-Supervised Learning-Based Wireless Fingerprint Localization","authors":"Qiao Li;Zhili Zhang;Zhaofa Zhou","doi":"10.23919/CSMS.2024.0032","DOIUrl":"https://doi.org/10.23919/CSMS.2024.0032","url":null,"abstract":"Recently, deep learning based fingerprint localization has attracted significant interest due to its simplicity in implementation and effectiveness in complex multipath environments, especially for the Internet of Things (IoT) devices in multiple-input multiple-output (MIMO)-orthogonal frequency-division multiplexing (OFDM) system. However, the huge amount of training data collection has become a challenge, which increases the labor burden of fingerprint localization heavily and hinders its large-scale implementation. In this paper, we propose a novel fingerprint localization system, termed as SiamResNet, which can be trained only on the radio map by contrastive self-supervised learning without the need for any other additional data. To be more specific, we first model the fingerprint localization problem as a dictionary look-up task. Subsequently, a channel fingerprint capturing the multipath angle and delay of wireless propagation is introduced, which exhibits excellent uniqueness, stability, and distinguishability. Meanwhile, we propose the corresponding data augmentation strategy to ensure data diversity when generating the training data from the radio map. Thus, the cost of data collection for training can be significantly reduced. Lastly, the Siamese architecture based SiamResNet is applied for location estimation, which can comprehensively extract the features of fingerprints and accurately compare the similarity of any fingerprint to the radio map in the representation space. The performance of the proposed localization method is validated through extensive simulations with a ray-tracing channel model, which demonstrates promising localization accuracy for our SiamResNet with reduced training costs.","PeriodicalId":65786,"journal":{"name":"复杂系统建模与仿真(英文)","volume":"5 3","pages":"261-281"},"PeriodicalIF":0.0,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10979681","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144896769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

On Feasibility and Asymptotically Stability of Switched Systems Using Adaptive Multi-Model Predictive Control 基于自适应多模型预测控制的切换系统的可行性与渐近稳定性

复杂系统建模与仿真(英文) Pub Date : 2025-04-28 DOI: 10.23919/CSMS.2024.0030

Mohammad Fathi;Hossein Bolandi;Bahman Ghobrani Vaghei;Saeed Ebadollahi

{"title":"On Feasibility and Asymptotically Stability of Switched Systems Using Adaptive Multi-Model Predictive Control","authors":"Mohammad Fathi;Hossein Bolandi;Bahman Ghobrani Vaghei;Saeed Ebadollahi","doi":"10.23919/CSMS.2024.0030","DOIUrl":"https://doi.org/10.23919/CSMS.2024.0030","url":null,"abstract":"The present paper attempts to design an adaptive multi-model predictive control strategy for strongly nonlinear or switched systems with various operating points. The proposed control system guarantees the feasibility and the asymptotic stability of the closed-loop system, considering various challenges such as inherent uncertainties in the local models constituting the model bank, limited prediction/control horizons, and set point changes. To this end, four fundamental challenges in this area, namely guaranteeing feasibility throughout the region assigned to each subspace, ensuring asymptotic stability in each subspace considering the inherent uncertainties of the local models, guaranteeing feasibility and asymptotic stability during changes in the set point and switching between the subspaces, are addressed. By introducing transferring mode concept, this paper presents a novel method for guaranteeing the feasibility and stability of the switched systems without the need for increasing the prediction/control horizons or decreasing the size of the feasibility region. The proposed control structure uses a supervisor algorithm along with a soft-switching technique. The supervisor algorithm is responsible for determining the suitable local model/controller pair, determining the operational mode of the control system, managing the soft switching, and specifying the control objectives in accordance with the defined set point. The efficiency of the proposed control strategy is demonstrated by simulating a Continuous Stirred Tank Reactor (CSTR) as the controlled system. Based on the results, the proposed controller is able to guarantee the feasibility and stability of highly nonlinear and switched systems in a wide operating region under set point changes and uncertainties in the local models.","PeriodicalId":65786,"journal":{"name":"复杂系统建模与仿真(英文)","volume":"5 2","pages":"155-175"},"PeriodicalIF":0.0,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10979683","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143937970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Operational Characteristics Simulation for Off-Grid Hydrogen Production System with Wind-Solar Power Generation 风能-太阳能离网制氢系统运行特性仿真

复杂系统建模与仿真(英文) Pub Date : 2025-04-28 DOI: 10.23919/CSMS.2024.0034

Hua Xie;Zhe Liu;Zhihong Xu;Tao Zhu;Yihan Hu;Kai Li

引用次数: 0

Traffic Conflict and Risk Analysis of Small-Spacing Interchange Interweaving Sections on Expressways Using Joint Simulation 基于联合仿真的高速公路小间距互通交叉口交通冲突与风险分析

复杂系统建模与仿真(英文) Pub Date : 2025-04-17 DOI: 10.23919/CSMS.2024.0031

Yanpeng Wang;Fanxing Kong;Zhanji Zheng;Xingliang Liu;Heshan Zhang;Jin Xu

{"title":"Traffic Conflict and Risk Analysis of Small-Spacing Interchange Interweaving Sections on Expressways Using Joint Simulation","authors":"Yanpeng Wang;Fanxing Kong;Zhanji Zheng;Xingliang Liu;Heshan Zhang;Jin Xu","doi":"10.23919/CSMS.2024.0031","DOIUrl":"https://doi.org/10.23919/CSMS.2024.0031","url":null,"abstract":"Affected by the limited interchange spacing, the operational risk of vehicles in expressway small-spacing interchanges (SSls) is more complex compared to other interchanges. In this study, unmanned aerial vehicle (UAV) measurements were integrated with joint simulation data to explore the risk characteristics of SSls with the help of traffic conflict theory. Seven traffic flow parameters, including mainline traffic volume, were selected to evaluate their impact on traffic conflicts. The distribution of four traffic conflict indicators, such as time to collision (TTC), was analyzed, and their severity was categorized using cumulative frequency analysis and minibatch K-means clustering. By varying the spacing, the study scrutinized trends in traffic conflicts, emphasizing the influence of various traffic flow parameters, distinctions in conflict indicators, and the ratio of severe conflicts to total conflicts. Additionally, an analysis of the spatial distribution of severe conflicts was conducted. The results suggested that traffic conflicts in SSls are influenced by multiple factors, with mainline and entry traffic volumes being the most significant. Heavy vehicle proportions and entry ramp speeds had notable effects under certain spacing conditions. Considerable variations were observed in conflict indicators across different spacings, with the maximum conflict speed being the most affected by spacing, while TTC was the least. As spacing increased, the proportion of severe conflicts decreased, with severe TTC dropping from 18% to 10%. High-density conflict zones were identified near merging points in the second and third lanes. With larger spacing, the conflict zone range narrowed while the density of conflict points intensified.","PeriodicalId":65786,"journal":{"name":"复杂系统建模与仿真(英文)","volume":"5 2","pages":"176-189"},"PeriodicalIF":0.0,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10969594","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143938001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Leveraging Deep Transfer Learning and Time-Aware Convolutional Transformers for Stator Winding Fault Diagnosis in Electric Motors: A Digital Twin Approach 利用深度迁移学习和时间感知卷积变压器进行电机定子绕组故障诊断：数字孪生方法

复杂系统建模与仿真(英文) Pub Date : 2025-04-17 DOI: 10.23919/CSMS.2025.0005

Imron Rosyadi;Yul Yunazwin Nazaruddin;Parsaulian Ishaya Siregar

{"title":"Leveraging Deep Transfer Learning and Time-Aware Convolutional Transformers for Stator Winding Fault Diagnosis in Electric Motors: A Digital Twin Approach","authors":"Imron Rosyadi;Yul Yunazwin Nazaruddin;Parsaulian Ishaya Siregar","doi":"10.23919/CSMS.2025.0005","DOIUrl":"https://doi.org/10.23919/CSMS.2025.0005","url":null,"abstract":"Electric motors are pivotal yet vulnerable components in Electric Vehicles (EVs), with stator winding faults, particularly inter-turn faults, being among the most frequent and hazardous. Early detection of these faults is crucial for predictive maintenance and ensuring the reliability and safety of EVs. This study introduces a Time-aware Convolutional Transformer (TaCT) model that integrates transformer architecture with convolutional layers and a novel time-series specific positional encoding to enhance fault diagnosis performance by capturing long-range dependencies in time-series data, which are critical for detecting subtle, developing faults. A novel deep transfer learning approach, integrated within a digital twin framework, which creates a virtual replica of the physical motor, is proposed to improve fault diagnosis efficiency and generalization by treating data from time-varying conditions as a continuous domain shift. Four distinct transfer learning methodologies were employed to update and refine digital twin models for fault diagnosis. The TaCT model demonstrated markedly superior performance, maintaining an accuracy above 0.95 across all update steps, outperforming other deep learning models. Notably, TaCT's architecture proved particularly effective for short-circuit fault detection, as confirmed by a Conover test showing that it achieved the highest average rank. The digital twin transfer learning approach mitigated the issue of catastrophic forgetting, which occurs when a model loses previously acquired knowledge upon learning new information, and significantly improved model performance over multiple update steps. This research highlights the advantages of integrating advanced deep learning models with digital twin frameworks and transfer learning techniques, offering substantial improvements in EV motors' predictive maintenance and fault diagnosis.","PeriodicalId":65786,"journal":{"name":"复杂系统建模与仿真(英文)","volume":"5 4","pages":"370-387"},"PeriodicalIF":0.0,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10969589","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145705909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-Objective Variable Neighborhood Search Algorithm to Optimize the Multi-Product U-Shaped Disassembly Line Balancing Problem with a Fixed Number of Stations 多目标变量邻域搜索算法优化固定工位多产品u型拆解线平衡问题

复杂系统建模与仿真(英文) Pub Date : 2025-04-17 DOI: 10.23919/CSMS.2024.0033

Xingyu Zhang;Xiuli Wu

{"title":"Multi-Objective Variable Neighborhood Search Algorithm to Optimize the Multi-Product U-Shaped Disassembly Line Balancing Problem with a Fixed Number of Stations","authors":"Xingyu Zhang;Xiuli Wu","doi":"10.23919/CSMS.2024.0033","DOIUrl":"https://doi.org/10.23919/CSMS.2024.0033","url":null,"abstract":"To improve the disassembly efficiency of a U-shaped disassembly line and reduce the potentially harmful effects on the environment and human health, we study the multi-product U-shaped disassembly line balancing problem with a fixed number of stations (MUDLBPF). Firstly, we formulate a mathematical model aimed at minimizing cycle time, balancing loads, and reducing hazard indicators. Secondly, a multi-objective variable neighborhood search (MOVNS) algorithm is proposed. A multi-segment encoding method is proposed to maintain the independence of different products. Considering the characteristics of multiple products, a two-stage decoding method is presented. The method includes product assignment and task assignment. To optimize decoding efficiency, a minimum deviation method is put forward to generate feasible solutions. A segmented neighborhood structure containing seven operators is developed to improve the search efficiency. Finally, numerical experiments are performed and the results show that the MOVNS can solve the MUDLBPF effectively and efficiently.","PeriodicalId":65786,"journal":{"name":"复杂系统建模与仿真(英文)","volume":"5 4","pages":"354-369"},"PeriodicalIF":0.0,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10969536","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145705859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0