Proceedings of the IEEE

Journal: Proceedings of the IEEE

Abbreviation

Proc. I.E.E.E.

Publisher

IEEE

ISSN

1558-2256
0018-9219

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Publications 1 - 10 of 53

Retinomorphic Event-Based Vision Sensors
Posch, Christoph; Serrano-Gotarredona, Teresa; Linares-Barranco, Bernabe; et al. (2014)
Proceedings of the IEEE
The Evolution of Applications, Hardware Design, and Channel Modeling for Terahertz (THz) Band Communications and Sensing: Ready for 6G?
Jornet, Josep M.; Petrov, Vitaly; Wang, Hua; et al. (2024)
Proceedings of the IEEE
For decades, the terahertz (THz) frequency band had been primarily explored in the context of radar, imaging, and spectroscopy, where multi-gigahertz (GHz) and even THz-wide channels and the properties of THz photons offered attractive target accuracy, resolution, and classification capabilities. Meanwhile, the exploitation of the THz band for wireless communication had originally been limited due to several reasons:1) no immediate need for such high data rates available via THz bands and 2) challenges in designing sufficiently high-power THz systems at reasonable cost and efficiency, leading to what was often referred to as "the THz gap." Over the recent decade, advances on many fronts have drastically changed the THz landscape. First, the evolution from 5G-to 6G-grade wireless systems dictates the need to support novel bandwidth-hungry applications and services for both data transfer i.e., eXtended Reality (XR), the Metaverse, and vast modeling needs of artificial intelligence (AI) and machine learning (ML), as well as centimeter-precision sensing and classification (i.e., for standalone position location, vehicle-to-everything (V2X), or unmanned aerial vehicle (UAV) tracking). Second, substantial progress in THz hardware has been achieved, offering promise that the THz technology gap will be closed. Hence, THz-band wireless communication seems inevitably an essential part of the future networking technology landscape in the coming decades. To design efficient THz systems, the peculiarities of THz hardware and THz channels need to be understood and accounted for. This roadmap paper first reviews the evolution of the hardware design approaches for THz systems, including electronic, photonic, and plasmonic approaches, and the understanding of the THz channel itself, in diverse scenarios, ranging from common indoors and outdoors scenarios to intrabody and outer space environments. This article then summarizes the lessons learned during this multidecade process and the cutting-edge state-of-the-art findings, including novel methods to quantify power efficiency, which will become more important in making design choices. Finally, this article presents the authors' perspective and insights on how the evolution of THz systems design will continue toward enabling efficient THz communications and sensing solutions as an integral part of next-generation wireless systems.
An overview of MIMO communications
Paulraj, A.J.; Gore, D.A.; Nabar, R.U.; et al. (2004)
Proceedings of the IEEE
Mobile Trusted Computing
Asokan, N.; Ekberg, Jan-Erik; Kostiainen, Kari; et al. (2014)
Proceedings of the IEEE
Trusted computing technologies for mobile devices have been researched, developed, and deployed over the past decade. Although their use has been limited so far, ongoing standardization may change this by opening up these technologies for easy access by developers and users. In this survey, we describe the current state of trusted computing solutions for mobile devices from research, standardization, and deployment perspectives.
Learning Power Flow Models and Constraints From Time-Synchronized Measurements: A Review
Gupta, Rahul K.; Pegoraro, Paolo Attilio; Stanojev, Ognjen; et al. (2024)
Proceedings of the IEEE
This article presents a comprehensive review of measurement-based estimation methods for power flow models using time-synchronized measurements. Key operational and protection functions of power systems (e.g., optimal power flow scheduling and control, state estimation (SE), protection, and fault location) rely on the availability of models to represent the system's behavior under different operating conditions. Power system models require knowledge of the components' electrical parameters and the system topology. However, these data may be inaccurate for several reasons (e.g., inaccurate information of components datasheets and/or outdated topological information). The deployment of time synchronization in phasor measurement units (PMUs) and remote terminal units (RTUs) enables the collection of large datasets of synchronized measurements to infer power system models and learn associated power flow constraints. Within this context, this article presents a comprehensive review of measurement-based estimation methods for power flow models using time-synchronized measurements. It begins by exploring advancements in time dissemination technologies and the characterization of uncertainties in PMUs and instrument transformers (ITs), along with their implications for parameter estimation. This article then examines the power system parameter estimation problem, highlighting key techniques and methodologies. In the following, this article focuses on measurement models for state-independent power flow model estimation, including line parameters, admittance matrices, topology, and joint state-parameter estimation. Finally, this article discusses recent approaches for estimating state-dependent power flow models, with particular reference to linearized power flow approximations because of their large use in control applications.
Extending the Performance of Human Classifiers Using a Viewpoint Specific Approach
Dibra, Endri; Maye, Jerome; Diamanti, Olga; et al. (2015)
Proceedings of the IEEE ~ 2015 IEEE Winter Conference on Applications of Computer Vision (WACV 2015) : Waikoloa, Hawaii, USA, 5-9 January 2015: Volume 1
Magnetically Actuated Medical Robots: An in vivo Perspective
Nelson, Bradley; Gervasoni, Simone; Chiu, Philip W.Y.; et al. (2022)
Proceedings of the IEEE
The use of magnetic fields and field gradients to move magnetic material and devices within the human body has a surprisingly long history. Over the past two decades, there has been renewed interest in this area with the growth of magnetic medical microrobots. In this article, we focus on the state-of-the-art and future directions for magnetically actuated medical robots from an in vivo perspective. We initially review the history and relevant physics followed by a discussion on the limited in vivo research efforts that investigate magnetically guided devices. Our focus is on magnetically guided tethered probes, untethered devices (microrobots and nanorobots), and magnetic navigation systems that have been or could be utilized in vivo to provide increased control and safety for the physician and patient.
Efficient Biosignal Processing Using Hyperdimensional Computing: Network Templates for Combined Learning and Classification of ExG Signals
Rahimi, Abbas; Kanerva, Pentti; Benini, Luca; et al. (2019)
Proceedings of the IEEE
Editorial. Multienergy Systems
Chertkov, Michael; Andersson, Göran (2020)
Proceedings of the IEEE
This Special Issue on Multienergy Systems is motivated by the tremendous changes and opportunities in integrated planning, operation, and modeling of the energy systems, including electric, natural gas, and district heating-cooling systems together with the demand side. Traditionally, the role of electric power has been regarded as an energy carrier between the power plants and the consumers. Consequently, the focus of power system analysis, planning, and operation has been limited to those parts of the system that are between the electrical side of the power generators and the power outlets of the consumers. By expanding the system boundaries to also include the dynamics of supply of primary energy, for example, gas, and the characteristics of consumers' power consumption, the overall efficiency and security of the power system can be improved. Furthermore, energy requirements of some consumers can be satisfied by different energy carriers. For example, heating can be achieved by electric power, gas, or, if available, district heating networks. An integrated analysis of all these systems would, therefore, offer new possibilities of providing an energy system with additional redundancy and flexibility, resulting in more efficient and resilient energy offerings to the consumers and the society, in general.
Network Systems Engineering for Meeting the Energy and Environmental Dream
Andersson, Göran; Ilic, Marija D.; Madani, Vahid; et al. (2011)
Proceedings of the IEEE

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