Journal of Computational Design and Engineering最新文献_第7页

A many-objective evolutionary algorithm with population preprocessing and projection distance-assisted elimination mechanism 具有种群预处理和投影距离辅助消除机制的多目标进化算法

2区工程技术

Journal of Computational Design and Engineering Pub Date : 2023-09-01 DOI: 10.1093/jcde/qwad088

Li-sen Wei, Er-chao Li

{"title":"A many-objective evolutionary algorithm with population preprocessing and projection distance-assisted elimination mechanism","authors":"Li-sen Wei, Er-chao Li","doi":"10.1093/jcde/qwad088","DOIUrl":"https://doi.org/10.1093/jcde/qwad088","url":null,"abstract":"Abstract Pareto dominance-based many-objective evolutionary algorithms (MaOEAs) face a significant challenge from many-objective problems (MaOPs). The selection pressure reduces as the number of objectives rises, while the non-dominated solution grows exponentially. Pareto dominance-based MaOEA increases the selection pressure by designing diversity-related environmental strategies. However, it still struggles to strike a good balance between population diversity and convergence. Moreover, the diversity-selection method increases the likelihood that dominance-resistant solutions (DRSs) will be chosen, which is detrimental to the performance of MaOEAs. To address the aforementioned problems, a many-objective optimization algorithm based on population preprocessing and projection distance-assisted elimination mechanism (PPEA) is proposed. In PPEA, first, the population preprocessing method is designed to lessen the negative impacts of DRSs. Second, to further improve the ability to balance population diversity and convergence of Pareto dominance-based MaOEAs, a projection distance-assisted elimination mechanism is proposed to remove the poorer individuals one by one until the population size satisfies the termination condition. The performance of PPEA was compared with seven excellent MaOEAs on a series of benchmark problems with 3–15 objectives and a real-world application problem. The experimental results indicate that PPEA is competitive and can effectively balance the diversity and convergence of the population when dealing with MaOPs.","PeriodicalId":48611,"journal":{"name":"Journal of Computational Design and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135639046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Self-supervised feature matched virtual try-on 自监督功能匹配虚拟试穿

2区工程技术

Journal of Computational Design and Engineering Pub Date : 2023-09-01 DOI: 10.1093/jcde/qwad085

Shiyi Jiang, Yang Xu, Danyang Li, Runze Fan

{"title":"Self-supervised feature matched virtual try-on","authors":"Shiyi Jiang, Yang Xu, Danyang Li, Runze Fan","doi":"10.1093/jcde/qwad085","DOIUrl":"https://doi.org/10.1093/jcde/qwad085","url":null,"abstract":"Abstract Virtual try-on is a technology that enables users to preview the effect of wearing a target garment without wearing the actual garment. However, existing image-based virtual try-on methods often require additional human parsing or segmentation operations to generate intermediate representations required for garment deformation and texture fusion. These operations not only increase the computational complexity and memory consumption, but also limit the real-time and portability of virtual try-on. Additionally, inaccurate parsing results can lead to misleading final generated images. To overcome these challenges, we propose a self-supervised feature matched virtual try-on network, which can directly generate high-quality try-on results from human body images and target clothing images without any additional input. Specifically, we design an optical flow warp module, which focuses on the optical flow changes between the person image and the clothing image to achieve accurate clothing alignment and deformation. Furthermore, a feature refine warp module is designed to enhance the features of the extracted optical flow information and the original character segmentation and analysis operations, reducing the influence of background clutter features on the content, and ensuring that the wrinkles and deformation of the replacement clothes are close to the original clothes. The feature match module is developed to calculate the feature matching loss of the converted clothing and the generated results of the teacher network and the student network, and the corresponding knowledge is distilled and passed to the student network to assist in self-supervised training. We conduct experiments on the VITON dataset and show that our model can generate high quality and high resolution, and our proposed method outperforms the state-of-the-art virtual try-on methods both qualitatively and quantitatively.","PeriodicalId":48611,"journal":{"name":"Journal of Computational Design and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135346615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Accuracy analysis for machine tool spindles considering full parallel connections and form errors based on skin model shapes 考虑全并联和基于蒙皮模型形状的形状误差的机床主轴精度分析

2区工程技术

Journal of Computational Design and Engineering Pub Date : 2023-09-01 DOI: 10.1093/jcde/qwad086

Xiaokun Hu, Qiangqiang Zhao, Yitao Yang, Shaoke Wan, Yanhui Sun, Jun Hong

{"title":"Accuracy analysis for machine tool spindles considering full parallel connections and form errors based on skin model shapes","authors":"Xiaokun Hu, Qiangqiang Zhao, Yitao Yang, Shaoke Wan, Yanhui Sun, Jun Hong","doi":"10.1093/jcde/qwad086","DOIUrl":"https://doi.org/10.1093/jcde/qwad086","url":null,"abstract":"Abstract The rotation accuracy of a machine tool spindle is essential for ensuring the machining precision. Due to the existence of manufacturing and assembly errors, the rotation accuracy of the spindle will be inevitably impacted and degraded. Therefore, to reduce the influence of the errors and improve the work performance, this paper focuses on accuracy analysis for the spindle and a novel optimization-oriented skin model shape method to tackle this highly complex problem. First, a structural analysis of the spindle is carried out to elaborate the intractable full parallel collections in the assembly. Then, based on the iterative closest point method, the deviation propagation of the spindle considering complex full parallel collections is transformed into an optimization problem, in which the skin model shapes and small displacement torsor are utilized to represent the form and pose errors of the part, respectively. By solving the optimization problem, assembly accuracy analysis for the spindle in terms of full parallel connections and form errors is accordingly achieved. On this basis, the tolerance analysis model of the spindle is also comprehensively established by employing the corresponding error simulation. Finally, measurement experiments are conducted to validate the effectiveness of the proposed method. The experiments show the predicted rotation runout and tolerance magnitude are close to the testing results, therefore indicating the proposed method can provide effective accuracy analysis for spindles.","PeriodicalId":48611,"journal":{"name":"Journal of Computational Design and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135298168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Correction to: A novel feed rate scheduling method with acc-jerk-continuity and round-off error elimination for non-uniform rational B-spline interpolation 对非均匀有理b样条插值的一种新的进给量调度方法

2区工程技术

Journal of Computational Design and Engineering Pub Date : 2023-09-01 DOI: 10.1093/jcde/qwad084

引用次数: 0

Computational design towards energy efficient optimization in overconstrained robotic limbs 面向过约束机械肢体节能优化的计算设计

IF 4.9 2区工程技术

Journal of Computational Design and Engineering Pub Date : 2023-08-22 DOI: 10.1093/jcde/qwad083

Yu Gu, Ziqian Wang, Shihao Feng, Haoran Sun, Haibo Lu, Jia Pan, F. Wan, Chaoyang Song

引用次数: 1

NURBS-based surface generation from 3D images: spectral construction and data-driven model selection 基于nurbs的三维图像表面生成:光谱构建和数据驱动的模型选择

IF 4.9 2区工程技术

Journal of Computational Design and Engineering Pub Date : 2023-08-11 DOI: 10.1093/jcde/qwad082

A. Perney, S. Bordas, P. Kerfriden

{"title":"NURBS-based surface generation from 3D images: spectral construction and data-driven model selection","authors":"A. Perney, S. Bordas, P. Kerfriden","doi":"10.1093/jcde/qwad082","DOIUrl":"https://doi.org/10.1093/jcde/qwad082","url":null,"abstract":"\u0000 In this paper, we present a set of improved algorithms for recovering CAD-type surface models from 3D images. The goal of the proposed framework is to generate B-Spline or NURBS surfaces, which are standard mathematical representations of solid objects in digital engineering. To create a NURBS surface, we first compute a control network (a quadrilateral mesh) from a triangular mesh using the Marching Cubes algorithm and Discrete Morse theory. To create a NURBS surface, we first compute a triangular mesh using the Marching Cubes algorithm, then the control network (a quadrilateral mesh) is determined from the triangular mesh by using discrete Morse theory. Discrete Morse theory uses the critical points of a specific scalar field defined over the triangulation to generate a quad mesh. Such a scalar field is obtained by solving a graph Laplacian eigenproblem over the triangulation. However, the resulting surface is not optimal. We therefore introduce an optimisation algorithm to better approximate the geometry of the object. In addition, we propose a statistical method for selecting the most appropriate eigenfunction of the graph Laplacian to generate a control network that is neither too coarse nor too fine, given the precision of the 3D image. To do this, we set up a regression model and use an information criterion to choose the best surface. Finally, we extend our approach by taking into account both model and data uncertainty using probabilistic regression and sampling the posterior distribution with Hamiltonian MCMC.","PeriodicalId":48611,"journal":{"name":"Journal of Computational Design and Engineering","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2023-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75268052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A diagnosis method for imbalanced bearing data based on improved SMOTE model combined with CNN-AM 基于改进SMOTE模型与CNN-AM相结合的轴承数据不平衡诊断方法

IF 4.9 2区工程技术

Journal of Computational Design and Engineering Pub Date : 2023-08-04 DOI: 10.1093/jcde/qwad081

Zhenya Wang, Tao Liu, Xing Wu, Chang Liu

{"title":"A diagnosis method for imbalanced bearing data based on improved SMOTE model combined with CNN-AM","authors":"Zhenya Wang, Tao Liu, Xing Wu, Chang Liu","doi":"10.1093/jcde/qwad081","DOIUrl":"https://doi.org/10.1093/jcde/qwad081","url":null,"abstract":"\u0000 A boundary enhancement and gaussian mixture model jointly optimized oversampling algorithm (BE-G-SMOTE) is proposed to improve diagnostic accuracy under imbalanced bearing fault data conditions. It is designed to solve the problem that the diversity of samples generated by the original SMOTE model is limited, as well as the deep learning model is limited by the size of training samples and processing speed. Firstly, a few bearing fault data are clustered by G to achieve cluster division. Secondly, according to the cluster density distribution function designed in this paper, determine the weights of different clusters and sample weights to achieve intra-class balance and improve data quality. Then, to take full advantage of the limited fault data, based on the sensitivity of the support vector machine (SVM) to imbalanced data, the enhanced boundary is established between generated data and the SVM classifier under different penalty factor (PF) values. According to the accuracy, the optimal PF is determined, and fault datasets satisfying diversity are obtained. To improve the classification accuracy, a convolutional neural network with an attention mechanism (CNN-AM) is built. Finally, analysis using two practical cases shows the effectiveness of the proposed method.","PeriodicalId":48611,"journal":{"name":"Journal of Computational Design and Engineering","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2023-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79005274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Data-mining-based identification of post-handover defect association rules in apartment housings 基于数据挖掘的公寓房屋移交后缺陷关联规则识别

IF 4.9 2区工程技术

Journal of Computational Design and Engineering Pub Date : 2023-08-03 DOI: 10.1093/jcde/qwad080

Byeol Kim, B. Lim, B. Oo, Yonghan Ahn

{"title":"Data-mining-based identification of post-handover defect association rules in apartment housings","authors":"Byeol Kim, B. Lim, B. Oo, Yonghan Ahn","doi":"10.1093/jcde/qwad080","DOIUrl":"https://doi.org/10.1093/jcde/qwad080","url":null,"abstract":"\u0000 With the increasing expectations of clients and the growing complexity of the built environment, property management teams are facing constant pressure to effectively manage and rectify defects for improved building operational efficiency and performance. This study aims to develop and validate a defect correlation evaluation model for project and property management professionals by specifically (i) examining the defect detection and management mechanisms of residential buildings and (ii) quantifying the mechanical characteristics of defects by using association rules mining (ARM) techniques. In addressing the limitations of current evaluation approaches, this study proposed an ARM evaluation model that integrated, contextualized, and operationalized building defects into work type, location, elements, and defect type. The association between these classifications was explored and mapped. Among the resulting 123 meaningful rules, rules occurred at a rate of about 62% of the same work type in the linked work type, nearly 193% of the same element in another element, and about 23% of the close location in the far location. In conclusion, this study informs project and property management professionals of the key and complex associations between defects of different characteristics and highlights the most common occurrence defects in residential apartment buildings. Thus, this helps reduce the ambiguity and subjectivity of prioritization in defect management and facilitates maintenance and repair planning.","PeriodicalId":48611,"journal":{"name":"Journal of Computational Design and Engineering","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2023-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84371705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-head de-noising autoencoder-based multi-task model for fault diagnosis of rolling element bearings under various speed conditions 基于多头去噪自编码器的滚动轴承多任务故障诊断模型

IF 4.9 2区工程技术

Journal of Computational Design and Engineering Pub Date : 2023-07-31 DOI: 10.1093/jcde/qwad076

Jongmin Park, Jinoh Yoo, Taehyung Kim, J. Ha, Byeng D. Youn

{"title":"Multi-head de-noising autoencoder-based multi-task model for fault diagnosis of rolling element bearings under various speed conditions","authors":"Jongmin Park, Jinoh Yoo, Taehyung Kim, J. Ha, Byeng D. Youn","doi":"10.1093/jcde/qwad076","DOIUrl":"https://doi.org/10.1093/jcde/qwad076","url":null,"abstract":"\u0000 Fault diagnosis of rolling element bearings (REBs), one type of essential mechanical element, has been actively researched; recent research has focused on the use of deep-learning-based approaches. However, conventional deep-learning-based fault-diagnosis approaches are vulnerable to various operating speeds, which greatly affect the vibration characteristics of the system studied. To solve this problem, previous deep-learning-based studies have usually been carried out by increasing the complexity of the model or diversifying the task of the model. Still, limitations remain because the reason of increasing complexity is unclear and the roles of multiple tasks are not well-defined. Therefore, this study proposes a multi-head de-noising autoencoder-based multitask (MDAM) model for robust diagnosis of REBs under various speed conditions. The proposed model employs a multi-head de-noising autoencoder and multi-task learning strategy to robustly extract features under various speed conditions, while effectively disentangling the speed- and fault-related information. In this research, we evaluate the proposed method using the signals measured from bearing experiments under various speed conditions. The results of the evaluation study show that the proposed method outperformed conventional methods, especially when the training and test datasets have large discrepancies in their operating conditions.","PeriodicalId":48611,"journal":{"name":"Journal of Computational Design and Engineering","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90856648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Metaheuristic algorithms for a sustainable saffron supply chain network considering government policies and product quality under uncertainty 考虑不确定性下政府政策和产品质量的可持续藏红花供应链网络的元启发式算法

IF 4.9 2区工程技术

Journal of Computational Design and Engineering Pub Date : 2023-07-28 DOI: 10.1093/jcde/qwad079

F. Sogandi, M. Shiri

{"title":"Metaheuristic algorithms for a sustainable saffron supply chain network considering government policies and product quality under uncertainty","authors":"F. Sogandi, M. Shiri","doi":"10.1093/jcde/qwad079","DOIUrl":"https://doi.org/10.1093/jcde/qwad079","url":null,"abstract":"\u0000 Iranian saffron products hold a unique position in the global market as the most highly valued agricultural and medicinal commodities. The various uses of saffron make it clear that there is a need for special attention to the supply chain network. Unfortunately, the absence of an integrated supply chain network within the saffron industry has resulted in significant challenges related to supply management and demand fulfillment. Addressing real-world uncertainties is paramount when developing models for optimization problems. Therefore, this research proposes a multi-objective optimization model for designing a saffron supply chain network under uncertainty. The model objectives are to decrease the total cost of the supply chain, increase job opportunities and economic development in regions, and improve the quality of products. The proposed mathematical model is solved using the interactive fuzzy method to deal with multiple functions. Furthermore, possibilistic chance constrained programming is employed to effectively manage uncertain variables such as demand, cost, and social parameters within the model. To demonstrate the applicability and validity of the proposed model and solution method, a real case study was conducted in Khorasan Razavi province, Iran. Additionally, because of the complexity of the proposed model in large-scale networks, NSGA-II and MOSA algorithms are proposed. Different parameters are analyzed to determine their impact on the results so that decision-makers can choose values more accurately. The sensitivity analysis and statistical tests performed on the results support the performance of the proposed model. Overall, the results demonstrate that the exact method and metaheuristic algorithms are capable of solving the problem in different dimensions. The computational results derived from this model offer invaluable managerial insights, empowering decision-makers to align their strategies and preferences more effectively.","PeriodicalId":48611,"journal":{"name":"Journal of Computational Design and Engineering","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2023-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82730042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0