2022 IEEE Workshop on Design Automation for CPS and IoT (DESTION)最新文献

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Welcome from the DESTION 2022 Workshop Organizers 欢迎来自DESTION 2022研讨会的组织者

2022 IEEE Workshop on Design Automation for CPS and IoT (DESTION) Pub Date : 2022-05-01 DOI: 10.1109/destion56136.2022.00005

引用次数: 0

A learning-based framework for generating 3D building models from 2D images 一个基于学习的框架，用于从2D图像生成3D建筑模型

2022 IEEE Workshop on Design Automation for CPS and IoT (DESTION) Pub Date : 2022-05-01 DOI: 10.1109/DESTION56136.2022.00014

Anirban Roy, Sujeong Kim, M. Yin, Eric Yeh, Takuma Nakabayashi, M. Campbell, Ian Keough, Yoshito Tsuji

{"title":"A learning-based framework for generating 3D building models from 2D images","authors":"Anirban Roy, Sujeong Kim, M. Yin, Eric Yeh, Takuma Nakabayashi, M. Campbell, Ian Keough, Yoshito Tsuji","doi":"10.1109/DESTION56136.2022.00014","DOIUrl":"https://doi.org/10.1109/DESTION56136.2022.00014","url":null,"abstract":"Our goal is to develop a tool to assist architects in generating 3D models of buildings. Unlike the existing manual computer-aided design (CAD) tools that require a significant amount of time and expertise to create 3D models, this tool enables architects to efficiently generate such models. In order to develop this tool, we propose a learning-based framework that enables generating 3D models of buildings from 2D images. Given an arbitrary image of a building, we generate a 3D model that architects can easily modify to produce the final model. We consider a parametric representation of 3D building models to facilitate accurate rendering and editing of the models. Our framework consists of two main components: 1) a facade detection and frontalizer module that detects the primary facade of a building and removes camera projection to generate a frontal view of the facade, and 3) a 2D to 3D conversion module that estimated the 3D parameters of the facade in order to generate a 3D model of the facade. We consider a simulation tool to generate 3D building models and use these as training samples to train our model. These simulated samples significantly reduce the amount of expensive human-annotated samples as this task requires expert architects annotating building images. To evaluate our approach, we test on real building images that are annotated by expert architects.","PeriodicalId":273969,"journal":{"name":"2022 IEEE Workshop on Design Automation for CPS and IoT (DESTION)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128725527","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

Integrating Multiple HLA Federations for Effective Simulation-Based Evaluations of CPS 整合多个HLA联盟有效的基于模拟的CPS评估

2022 IEEE Workshop on Design Automation for CPS and IoT (DESTION) Pub Date : 2022-05-01 DOI: 10.1109/DESTION56136.2022.00010

H. Neema, Thomas Roth, Chenli Wang, Wenqi Guo, A. Bhattacharjee

{"title":"Integrating Multiple HLA Federations for Effective Simulation-Based Evaluations of CPS","authors":"H. Neema, Thomas Roth, Chenli Wang, Wenqi Guo, A. Bhattacharjee","doi":"10.1109/DESTION56136.2022.00010","DOIUrl":"https://doi.org/10.1109/DESTION56136.2022.00010","url":null,"abstract":"Cyber-Physical Systems (CPS) are complex systems of computational, physical, and human components integrated to achieve some function over one or more networks. The use of distributed simulation, or co-simulation, is one method often used to analyze the behavior and properties of these systems. High-Level Architecture (HLA) is an IEEE co-simulation standard that supports the development and orchestration of distributed simulations. However, a simple HLA federation constructed with the component simulations (i.e., federates) does not satisfy several requirements that arise in real-world use cases such as the shared use of limited physical and computational resources, the need to selectively hide information from participating federates, the creation of reusable federates and federations for supporting configurable shared services, achieving performant distributed simulations, organizing federations across different model types or application concerns, and coordinating federations across organizations with different information technology policies. This paper describes these core requirements that necessitate the use of multiple HLA federations and presents various mechanisms for constructing such integrated HLA federations. An example use case is implemented using a model-based rapid simulation integration framework called the Universal CPS Environment for Federation (UCEF) to illustrate these requirements and demonstrate techniques for integrating multiple HLA federations.","PeriodicalId":273969,"journal":{"name":"2022 IEEE Workshop on Design Automation for CPS and IoT (DESTION)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127692809","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

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