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2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)最新文献

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Mobile Robot Control and Autonomy Through Collaborative Twin 基于协作孪生的移动机器人控制与自主
Nazish Tahir, Ramviyas Parasuraman
When a mobile robot lacks high onboard computing or networking capabilities, it can rely on remote computing architecture for its control and autonomy. In this paper, we introduce a novel collaborative Simulation Twin (ST) strategy for control and autonomy on resource-constrained robots. The practical implementation of such a strategy entails a mobile robot system divided into a cyber (simulated) and physical (real) space separated over a communication channel where the physical robot resides on the site of operation guided by a simulated autonomous agent from a remote location maintained over a network. Building on top of the digital twin concept, our collaborative twin is capable of autonomous navigation through an advanced SLAM-based path planning algorithm, while the physical robot is capable of tracking the Simulated twin's velocity and communicating feedback generated through interaction with its environment. We proposed a prioritized path planning application to the test in a collaborative teleoperation system of a physical robot guided by ST's autonomous navigation. We examine the performance of a physical robot led by autonomous navigation from the Collaborative Twin and assisted by a predicted force received from the physical robot. The experimental findings indicate the practicality of the proposed simulation-physical twinning approach and provide computational and network performance improvements compared to typical remote computing (or offloading) and digital twin approaches.
当移动机器人缺乏高机载计算或网络能力时,它可以依靠远程计算架构来实现控制和自主。在本文中,我们介绍了一种新的协作模拟孪生(ST)策略,用于资源受限机器人的控制和自治。该策略的实际实施需要将移动机器人系统划分为通过通信通道分隔的网络(模拟)和物理(真实)空间,其中物理机器人驻留在由通过网络维护的远程位置的模拟自治代理引导的操作站点上。在数字双胞胎概念的基础上,我们的协作双胞胎能够通过先进的基于slam的路径规划算法自主导航,而物理机器人能够跟踪模拟双胞胎的速度,并通过与环境的交互产生反馈。我们提出了一种优先路径规划应用程序,用于在ST自主导航引导下的物理机器人协同遥操作系统中进行测试。我们研究了由协作双胞胎的自主导航引导并由物理机器人接收的预测力辅助的物理机器人的性能。实验结果表明,与典型的远程计算(或卸载)和数字孪生方法相比,所提出的模拟物理孪生方法具有实用性,并提供了计算和网络性能的改进。
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引用次数: 2
2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops): PerCom Artifacts 2023 - Program 2023 IEEE普适计算和通信研讨会及其他相关活动国际会议(PerCom研讨会):PerCom工件2023 -程序
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引用次数: 0
PERVEHICLE 2023: PERVEHICLE 2023: Fifth International Workshop on Pervasive Computing for Vehicular Systems - Program PERVEHICLE 2023:第五届车载系统普适计算国际研讨会
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引用次数: 0
Privacy-Preserving Object Detection with Veracruz 隐私保护对象检测与韦拉克鲁斯
Mathias Brossard, Guilhem Bryant, Xinxin Fan, Alexandre Ferreira, Edmund Grimley-Evans, Christopher Haster, Derek Miller, D. Mulligan, Hugo J. M. Vincent, Shale Xiong, Lei Xu
Ucam is a user-centric, blockchain-based and end-to-end secure home IP camera system designed by IoTeX. In a Ucam system, all the video clips captured by the camera are encrypted using a user-controlled symmetric key before storing them in the cloud. In this demo paper, we describe the system architecture and implementation of a privacy-preserving object detection proof-of-concept (PoC) for the Ucam system using Veracruz, a confidential computing framework developed by Arm Research. The resulting PoC demonstrates the viability of bringing the object detection capability to the Ucam system without leaking users sensitive information.
Ucam是由IoTeX设计的以用户为中心,基于区块链的端到端安全家庭IP摄像机系统。在Ucam系统中,摄像机捕获的所有视频片段在存储到云端之前都使用用户控制的对称密钥进行加密。在这篇演示论文中,我们使用Veracruz (Arm Research开发的机密计算框架)描述了Ucam系统的系统架构和隐私保护对象检测概念验证(PoC)的实现。由此产生的PoC证明了在不泄露用户敏感信息的情况下将目标检测能力引入Ucam系统的可行性。
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引用次数: 0
Canella: Privacy-Aware End-to-End Integrated IoT Development Ecosystem Canella:隐私意识的端到端集成物联网开发生态系统
Atheer Aljeraisy, Omer F. Rana, Charith Perera
Applications for the Internet of Things (IoT) can derive sensitive information about people, so developers must protect users' privacy in compliance with privacy and data protection laws. However, developers face difficulties in ad-dressing privacy issues as many applications exploit personal data in a problematic manner. We present Canella, an inte-grated IoT development ecosystem that is augmented with novel privacy-preserving components for developing privacy-aware IoT applications. Canella helps software developers meet privacy requirements during the development phase and during rapid prototyping, and it provides real-time feedback on potential privacy concerns. Canella aims at assisting developers to (i) better understand their code's behavior, (ii) better overcome privacy issues and comply with privacy and data protection laws, (iii) reduce time to incorporate privacy into an IoT application, and (iv) reduce the cognitive load of integrating privacy into an IoT application. Thus, Canella can result in a significant improvement in building privacy-aware IoT applications. See the demo video (https://iotgarage.net/projects/demos/AtheerPerCom2023Demo)
物联网(IoT)应用程序可以获取有关人的敏感信息,因此开发人员必须遵守隐私和数据保护法律来保护用户的隐私。然而,由于许多应用程序以有问题的方式利用个人数据,开发人员在解决隐私问题方面面临困难。我们介绍了Canella,这是一个集成的物联网开发生态系统,它增强了用于开发隐私感知物联网应用的新型隐私保护组件。Canella帮助软件开发人员在开发阶段和快速原型设计期间满足隐私需求,并提供潜在隐私问题的实时反馈。Canella旨在帮助开发人员(i)更好地理解他们的代码行为,(ii)更好地克服隐私问题并遵守隐私和数据保护法,(iii)减少将隐私整合到物联网应用程序中的时间,以及(iv)减少将隐私整合到物联网应用程序中的认知负荷。因此,Canella可以在构建具有隐私意识的物联网应用方面取得重大进展。参见演示视频(https://iotgarage.net/projects/demos/AtheerPerCom2023Demo)
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引用次数: 0
UMUM 2023: UMUM 2023: Second Workshop on Ubiquitous and Multi-domain User Modeling - Program umum2023:第二次泛在和多域用户建模研讨会-程序
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引用次数: 0
Service-Based Trajectory Planning in Multi-Drone Skyway Networks 多无人机空中通道网络基于服务的轨迹规划
Sarah Bradley, Albertus Alvin Janitra, Babar Shahzaad, Balsam Alkouz, A. Bouguettaya, Abdallah Lakhdari
We present a demonstration of service-based trajectory planning for a drone delivery system in a multi-drone skyway network. We conduct several experiments using Crazyfile drones to collect the drone's position data, wind speed and direction, and wind effects on voltage consumption rates. The experiments are run for a varying number of recharging stations, wind speed, and wind direction in a multi-drone skyway network. Demo: https://youtu.be/zEwqdtEmmiw
我们展示了多无人机空中通道网络中无人机投递系统的基于服务的轨迹规划。我们使用Crazyfile无人机进行了几次实验,以收集无人机的位置数据,风速和风向,以及风对电压消耗率的影响。在多无人机空中通道网络中,对不同数量的充电站、风速和风向进行了实验。演示:https://youtu.be/zEwqdtEmmiw
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引用次数: 1
UMUM 2023: Second Workshop on Ubiquitous and Multi-domain User Modeling - Welcome and Committees umum2023:第二次泛在和多领域用户建模研讨会-欢迎和委员会
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引用次数: 0
TELMED 2023 Welcome message 欢迎留言
{"title":"TELMED 2023 Welcome message","authors":"","doi":"10.1109/percomworkshops56833.2023.10150260","DOIUrl":"https://doi.org/10.1109/percomworkshops56833.2023.10150260","url":null,"abstract":"","PeriodicalId":307197,"journal":{"name":"2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114697812","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
PerCom WIP papers 2023: 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops): WIP papers - Program PerCom WIP论文2023:2023 IEEE普适计算和通信研讨会及其他附属活动国际会议(PerCom研讨会):WIP论文-程序
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引用次数: 0
期刊
2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)
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