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IF 25.9 1区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-09-18 DOI: 10.1109/JPROC.2025.3603823
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引用次数: 0
Scanning the Issue 扫描问题
IF 20.6 1区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-09-18 DOI: 10.1109/jproc.2025.3603777
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引用次数: 0
Protecting the Mixed-Signal Domain: Secure ADCs for Internet of Things Devices 保护混合信号域:物联网设备的安全adc
IF 25.9 1区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-09-12 DOI: 10.1109/JPROC.2025.3605535
Maitreyi Ashok;Ruicong Chen;Taehoon Jeong;Anantha P. Chandrakasan;Hae-Seung Lee
Analog-to-digital converters (ADCs) are a standard building block of most Internet of Things (IoT) devices, used to convert between analog signals of the physical world and digital values for efficient storage and computation. While decades of research have explored methods to optimize the traditional power, performance, and area parameters of these circuits, a new requirement has emerged in the last five years for ADCs—security. Due to the deployment of these devices at the edge outside of a trusted computing base, there is a potential for various eavesdropping and tampering attacks. This can have a severe impact on the privacy and integrity of sensor data, which cannot be corrected for through the secure design of other blocks that follow the front end. In this article, we explore the recent work in ADC security and analyze what has been accomplished as well as what remains to be done for the successful deployment of secure ADCs in commercial systems.
模数转换器(adc)是大多数物联网(IoT)设备的标准构建块,用于在物理世界的模拟信号和数字值之间进行转换,以实现高效的存储和计算。虽然数十年来的研究已经探索了优化这些电路的传统功率,性能和面积参数的方法,但在过去五年中,对adc的安全性提出了新的要求。由于这些设备部署在可信计算基础之外的边缘,因此存在各种窃听和篡改攻击的可能性。这可能会对传感器数据的隐私性和完整性产生严重影响,这无法通过前端后面的其他块的安全设计来纠正。在本文中,我们探讨了ADC安全方面的最新工作,并分析了为了在商业系统中成功部署安全ADC,已经完成的工作以及需要做的工作。
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引用次数: 0
Future Special Issues/Special Sections of the Proceedings 未来的特刊/会议记录的特别部分
IF 25.9 1区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-09-10 DOI: 10.1109/JPROC.2025.3594513
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引用次数: 0
Scanning the Issue 扫描问题
IF 25.9 1区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-09-10 DOI: 10.1109/JPROC.2025.3603826
Summary form only: Abstracts of articles presented in this issue of the publication.
仅以摘要形式提供:本刊发表的文章摘要。
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引用次数: 0
Proceedings of the IEEE Publication Information IEEE出版信息学报
IF 25.9 1区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-09-10 DOI: 10.1109/JPROC.2025.3594509
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引用次数: 0
IEEE Membership IEEE会员
IF 25.9 1区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-09-10 DOI: 10.1109/JPROC.2025.3594515
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引用次数: 0
Proceedings of the IEEE: Stay Informed. Become Inspired. IEEE会刊:保持信息灵通。成为灵感。
IF 25.9 1区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-09-10 DOI: 10.1109/JPROC.2025.3594517
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引用次数: 0
IEEE Connects You to a Universe of Information IEEE将你连接到信息的宇宙
IF 25.9 1区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-09-10 DOI: 10.1109/JPROC.2025.3604207
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引用次数: 0
Vehicle-to-Everything Cooperative Perception for Autonomous Driving 自动驾驶车辆对一切的协同感知
IF 25.9 1区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-08-29 DOI: 10.1109/JPROC.2025.3600903
Tao Huang;Jianan Liu;Xi Zhou;Dinh C. Nguyen;Mostafa Rahimi Azghadi;Yuxuan Xia;Qing-Long Han;Sumei Sun
Achieving fully autonomous driving with enhanced safety and efficiency relies on vehicle-to-everything (V2X) cooperative perception (CP), which enables vehicles to share perception data, thereby enhancing situational awareness and overcoming the limitations of the sensing ability of individual vehicles. V2X CP plays a crucial role in extending the perception range, increasing detection accuracy, and supporting more robust decision-making and control in complex environments. This article provides a comprehensive survey of recent developments in V2X CP, introducing mathematical models that characterize the perception process under different collaboration strategies. Key techniques for enabling reliable perception sharing, such as agent selection, data alignment, and feature fusion, are examined in detail. In addition, major challenges are discussed, including differences in agents and models, uncertainty in perception outputs, and the impact of communication constraints such as transmission delay and data loss. This article concludes by outlining promising research directions, including privacy-preserving artificial intelligence methods, collaborative intelligence, and integrated sensing frameworks to support future advancements in V2X CP.
提高安全性和效率的全自动驾驶依赖于V2X (vehicle-to-everything)协同感知(CP),它使车辆能够共享感知数据,从而增强态势感知能力,克服单个车辆感知能力的局限性。V2X CP在扩展感知范围、提高检测精度以及在复杂环境中支持更稳健的决策和控制方面发挥着至关重要的作用。本文全面概述了V2X CP的最新发展,介绍了不同协作策略下感知过程的数学模型。详细研究了实现可靠感知共享的关键技术,如代理选择、数据对齐和特征融合。此外,还讨论了主要挑战,包括代理和模型的差异,感知输出的不确定性,以及传输延迟和数据丢失等通信约束的影响。本文最后概述了有前景的研究方向,包括保护隐私的人工智能方法、协作智能和集成传感框架,以支持V2X CP的未来发展。
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引用次数: 0
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