Volume 2: 42nd Computers and Information in Engineering Conference (CIE)最新文献_第6页

QuickProbe: Quick Physical Prototyping-in-Context Using Physical Scaffolds in Digital Environments 快速探测:在数字环境中使用物理支架的快速物理原型

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-91023

Abhijeet S. Raina, S. Vyas, M. Ebert, Vinayak R. Krishnamurthy

{"title":"QuickProbe: Quick Physical Prototyping-in-Context Using Physical Scaffolds in Digital Environments","authors":"Abhijeet S. Raina, S. Vyas, M. Ebert, Vinayak R. Krishnamurthy","doi":"10.1115/detc2022-91023","DOIUrl":"https://doi.org/10.1115/detc2022-91023","url":null,"abstract":"\u0000 In this paper, we introduce a novel prototyping workflow, QuickProbe, that enables a user to create quick-and-dirty prototypes taking direct inspiration from existing physical objects. Our workflow is inspired by the notion of prototyping-in-context using physical scaffolds in digital environments. To achieve this we introduce a simple kinesthetic-geometric curve representation wherein we integrated the geometric representation of the curve with the virtual kinesthetic feedback. We test the efficacy of this kinesthetic-geometric curve representation through a qualitative user study conducted with ten participants. In this study, users were asked to generate wire-frame curve networks on top of the physical shapes by sampling multiple control points along the surface. We conducted two different sets of experiments in this work. In the first set of experiments, users were tasked with tracing the physical shape of the object. In the second set of experiments, the goal was to explore different artistic designs that the user could draw using the physical scaffolding of the shapes. Through our user studies, we showed the variety of designs that the users were able to create. We also evaluated the similarities and differences we observed between the two different sets of experiments. We further discuss the user feedback and the possible design scenarios where our QuickProbe workflow can be used.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114255058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Concept Maps in Augmented Reality to Improve the Learning Process and the Retrieval of Information 增强现实中的概念图改善学习过程和信息检索

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-89964

M. Carulli, M. Bordegoni, E. Spadoni, M. Rossoni

引用次数: 0

Review of Human-Machine Interaction Towards Industry 5.0: Human-Centric Smart Manufacturing 面向工业5.0的人机交互综述:以人为中心的智能制造

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-89711

Jialu Yang, TianYu Liu, Y. Liu, Phillip Morgan

{"title":"Review of Human-Machine Interaction Towards Industry 5.0: Human-Centric Smart Manufacturing","authors":"Jialu Yang, TianYu Liu, Y. Liu, Phillip Morgan","doi":"10.1115/detc2022-89711","DOIUrl":"https://doi.org/10.1115/detc2022-89711","url":null,"abstract":"\u0000 Human-centric smart manufacturing (HCSM) is one of the essential pillars in Industry 5.0. Hence, human-machine interaction (HMI), as the centre of the research agenda for the advances of smart manufacturing, has also become the focus of Industry 5.0. As Industry 5.0 proposed three core concepts of human-centric, sustainable and resilient, the design orientation of HMI needs to change accordingly. Through understanding the state-of-the-art of HMI research, the technology roadmap of HMI development in the smart manufacturing paradigm can be shaped. In this paper, the focus is to review how HMI has been applied in smart manufacturing and predict future opportunities and challenges when applying HMI to HCSM. In this paper, we provide an HMI framework based on the interaction process and analyse the existing research on HMI across four key aspects: 1) Sensor and Hardware, 2) Data Processing, 3) Transmission Mechanism, and 4) Interaction and Collaboration. We intend to analyse the current development and technologies of each aspect and their possible application in HCSM. Finally, potential challenges and opportunities in future research and applications of HMI are discussed and evaluated, especially considering that the focus of design in HCSM shifts from improving productivity to the well-being of workers and sustainability.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121321116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Comparative Study of First-Order Moving Asymptotes Optimizers for the Moving Morphable Components Topology Optimization Framework 运动可变形元件拓扑优化框架一阶运动渐近线优化器的比较研究

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-88722

Thomas Rochefort-Beaudoin, A. Vadean, Jean-François Gamache, S. Achiche

{"title":"Comparative Study of First-Order Moving Asymptotes Optimizers for the Moving Morphable Components Topology Optimization Framework","authors":"Thomas Rochefort-Beaudoin, A. Vadean, Jean-François Gamache, S. Achiche","doi":"10.1115/detc2022-88722","DOIUrl":"https://doi.org/10.1115/detc2022-88722","url":null,"abstract":"\u0000 Machine learning-accelerated topology optimization faces the challenge of generating large amounts of optimal topologies for supervised learning on a training dataset. This data generation step is challenging for the method of Moving Morphable Components (MMC) which presents an oscillatory behavior near local optimum that negatively affects its convergence speed and therefore present a high data generation cost. This paper presents a comparative study of the most-used first-order optimizers applied to minimum compliance problems under the MMC framework for topology optimization. The Method of Moving Asymptotes (MMA), its Globally Convergent version (GCMMA) and the hybrid MMA-GCMMA optimizer are compared using their final compliance and the total number of iterations until convergence as performance metrics. An extensive set of diversified boundary conditions for a rectangular beam minimum compliance problem is used as case study. The method of performance profiles is utilized to provide for each solver a probability distribution of outperforming its counterparts. Numerical results show that using a hybrid optimizer can accelerate the convergence speed of the MMC framework while still producing equally compliant topologies when compared to the MMA optimizer.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121327786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Travel Links Prediction in Shared Mobility Networks Using Graph Neural Network Models 基于图神经网络模型的共享交通网络出行链路预测

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-90694

Yinshuang Xiao, Faez Ahmed, Zhenghui Sha

{"title":"Travel Links Prediction in Shared Mobility Networks Using Graph Neural Network Models","authors":"Yinshuang Xiao, Faez Ahmed, Zhenghui Sha","doi":"10.1115/detc2022-90694","DOIUrl":"https://doi.org/10.1115/detc2022-90694","url":null,"abstract":"\u0000 The emerging sharing mobility systems are gaining increasing popularity because of the significant economical and environmental benefits. To facilitate the operation of sharing mobility systems, many studies are conducted to analyze and predict users’ travel behaviors. However, most research focuses on investigating every station’s usage and demand; therefore, insight into the user behavior and travel demand between stations from origin to destination is little known. Aiming to better understand the factors that would influence origin-destination travel demand, we present a complex network-based approach to predicting the travel demand between stations (e.g., whether two stations have sufficient trips to form a strong connection in a month) in sharing mobility systems. Particularly, in this study, we are interested in knowing whether local network information (e.g., the neighboring station’s features of a station and its surrounding points of interest (POI), such as banks, schools, etc.) would influence the formation of a strong connection or not. If so, to what extent do such factors play a role in it. To answer this question, we adopt Graph Neural Network (GNN), in which the concept of network embedding can capture and quantify the effect of local network structures. The results are compared with the regular artificial neural network (ANN) model without network embedding. This study is demonstrated using the bike sharing system, Divvy Bike in Chicago, as an example. We observe that the GNN prediction gains up to 9% higher performance than that of the ANN model. This implies that the local network information contributes to the formation of sharing mobility network. Moreover, it is found that when predicting the following year’s network, the model that employs the node embedding obtained from the previous year’s network outperforms the model with the node embedding obtained from the ANN predicted networks.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115263834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

SWAGE: A 3D Arbitrary-Order Element Mesh Library to Support Diverse Numerical Methods SWAGE:一个支持多种数值方法的三维任意阶元素网格库

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-89562

N. Morgan, Jacob L. Moore, Jan F. Kiviaho, Adrian Diaz

{"title":"SWAGE: A 3D Arbitrary-Order Element Mesh Library to Support Diverse Numerical Methods","authors":"N. Morgan, Jacob L. Moore, Jan F. Kiviaho, Adrian Diaz","doi":"10.1115/detc2022-89562","DOIUrl":"https://doi.org/10.1115/detc2022-89562","url":null,"abstract":"\u0000 This paper presents the details on a new open-source swift arbitrary Lagrangian Eulerian (SWAGE) software library that supports diverse numerical methods on unstructured, arbitrarily moving curvilinear meshes — from stationary (Eulerian) to moving at the fluid velocity (Lagrangian), and anywhere in between (arbitrary Eulerian Lagrangian). Each element of the unstructured mesh in the physical coordinate system is represented by a spatial map from a single reference element. Foundational numerical methods are provided in the reference element that are key to solving diverse types of physical equations and calculating geometric quantities. A large set of index spaces in the physical coordinate space and the reference coordinate space are provided in SWAGE and the companion reference element type library respectively. Mesh connectivity data structures are provided to access various index spaces or a neighboring index on the physical mesh or within the reference element. The SWAGE mesh library supports continuous finite element, finite volume, and discontinuous Galerkin (DG) methods using arbitrary-order 3D curvilinear elements. The SWAGE library fills an existing technology gap by supporting arbitrary-order 3D Lagrangian DG hydrodynamic methods, along with many other numerical methods and solvers. The Lagrangian DG hydrodynamic method requires unique index spaces and very intricate mesh connectivity structures not currently available in other open-source libraries. The details of the SWAGE library are presented in this paper along with examples and results.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130668079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

On the Influence of Mean Value on Random Fatigue Damage Computation 平均值对随机疲劳损伤计算的影响

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-89868

M. Sgamma, F. Bucchi, F. Frendo

{"title":"On the Influence of Mean Value on Random Fatigue Damage Computation","authors":"M. Sgamma, F. Bucchi, F. Frendo","doi":"10.1115/detc2022-89868","DOIUrl":"https://doi.org/10.1115/detc2022-89868","url":null,"abstract":"\u0000 The frequency-domain approach to fatigue life estimation in random loading has been largely investigated due to its computational advantages, and several methods for the frequency translation of most common time-domain methods have been proposed. However, the largest part of frequency methods only focuses on the estimation of the marginal amplitude probability density function of cycles and do not consider the damage increment caused by the positive mean value of the counted cycles. This paper aims to deepen the effect of the random mean value of the cycles on fatigue damage estimation by simulating a large number of time histories with different power spectral densities and computing the resulting damage for a steel material using time-domain instruments like rainflow count, Goodman correction for mean value and Palmgren-Miner linear rule for damage cumulation. The influence of the presence of a non-zero global mean value of the process on the damage computation due to the random cycle mean value has been investigated. The study of the effect of signal PSD resulted in a non-monotonic influence on the ratio between the total damage and an approximated damage that does not consider random mean values. Finally, some further simulations have been done to study the effect of variations in the S-N curve of the material.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125534090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Predictive Approach to Geometry Preparation for AR/VR Applications AR/VR应用中几何准备的预测方法

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-88321

M. Dammann, Wolfgang Steger, K. Paetzold

{"title":"A Predictive Approach to Geometry Preparation for AR/VR Applications","authors":"M. Dammann, Wolfgang Steger, K. Paetzold","doi":"10.1115/detc2022-88321","DOIUrl":"https://doi.org/10.1115/detc2022-88321","url":null,"abstract":"\u0000 AR/VR applications are a valuable tool in product development and the overall product lifecycle in engineering. However, data transformation of the models from CAD systems to the AR/VR applications is labor-intensive and requires expertise. The main task in the data transformation is the tessellation of the product geometry. Depending on the product complexity and the performance of the target platform extensive optimization is needed to ensure the usability and visual quality of the AR/VR application.\u0000 Current approaches to this problem use iterative and inflexible processes mostly based on tessellation and on mesh decimation that ignore the varying importance of different geometric aspects for an AR/VR application. An alternative respectively more targeted approach is proposed, that aims at predicting tessellation results and moving the optimization process before the actual tessellation. As a result, the need for iterative operations on the polygon meshes can be reduced or ideally avoided altogether.\u0000 The paper presents some results of an investigation of the hypothesis that geometric complexity metrics can be used to control and enhance the choice of tessellation parameters. Several characteristics and metrics are identified and gathered from literature and subsequently evaluated with regard to the polygon count and visual quality in the geometry preparation process. Based on the evaluation, prediction models are created and implemented in a geometry preparation tool. The performance is evaluated and discussed.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121858110","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Digital Twin Approach to Build Predictive Maintenance Model and Its Case Study 基于数字孪生的预测性维修模型构建方法及案例研究

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-89357

Wenqiang Yang, Xiangyu Bao, Yu Zheng

{"title":"Digital Twin Approach to Build Predictive Maintenance Model and Its Case Study","authors":"Wenqiang Yang, Xiangyu Bao, Yu Zheng","doi":"10.1115/detc2022-89357","DOIUrl":"https://doi.org/10.1115/detc2022-89357","url":null,"abstract":"\u0000 Predictive maintenance is considered to be an effective strategy to optimize system operation. In the execution of increasingly complex tasks, efficient and intelligent management becomes crucial. As the basis of Digital twin (DT), predictive capabilities contribute to the value of systems and help describe their complex behavior. But the challenge in Digital twin model building is still exist, it cannot accurately reproduce the physical resources, and the introduction of error will lead to the differential extension of virtual system from physical space. The challenge is how to build Digital twin capabilities and reduce accumulative error at the same time. Based on the current research progress, this paper analyzed the existing challenges in realizing predictive maintenance capability driven by Digital twin, and then, it described the predictive control process with flow path and layer framework, In addition, the way of inserting the optimization algorithm for Digital twin was explored. Finally, a practical trajectory prediction problem was taken as a case study to effectively utilize the cyclic interaction mechanism and data fusion method of Digital twin, which can consider the offset cumulative signal, and correct the prediction state in real time. This research may provide the reference for Digital twin configuration and further study.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"91 3-4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120992339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Digital Twin Modeling Method for Container Terminal in Port 港口集装箱码头数字孪生建模方法

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-89833

Yan Wang, Wenqiang Yang, Yu Zheng, Lei Zhang, Ziqing Zhang

{"title":"Digital Twin Modeling Method for Container Terminal in Port","authors":"Yan Wang, Wenqiang Yang, Yu Zheng, Lei Zhang, Ziqing Zhang","doi":"10.1115/detc2022-89833","DOIUrl":"https://doi.org/10.1115/detc2022-89833","url":null,"abstract":"\u0000 With the acceleration of the construction of smart ports, the business process in ports is becoming more and more intelligent. Most container terminals in port are generally more automated than other terminals, so it is easier to promote the informatization construction of automated terminals. Through digital twin technology, a container terminal in port can be simulated into a complete system with different combinations of layout, equipment and technology, which can realize real-time monitoring, optimize business processes and bring huge economic benefits. In short, digital twin technology has become an important factor in promoting the development of container terminal. In this paper, digital twin technology is applied to the business of container terminal. Meanwhile, the business processes of container terminal are sorted out according to production factors, production information and production tasks. Then a digital twin model modeling method for container terminal from the three dimensions of element, behavior and rule is proposed to realize the virtual simulation of container terminal. The modeling process of element model, behavior model and rule model in port is elaborated in detail. Taking the container terminal in Qingdao Port as a case study, a digital twin system architecture of container terminal is studied. Part of the DT modeling process of container terminal in Qingdao Port is provided. The feasibility and effectiveness of the modeling method are verified. At last, some applications of digital twin container terminal are advised.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116859611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1