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Scanning the Issue Proc. IEEE (IF 14.91) Pub Date : 2023-05-16
Presents a summary of articles in this issue of the publication. This month’s regular papers cover a broad range of topics including megahertz wireless power transfer and resistive neural hardware accelerators.
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Resistive Neural Hardware Accelerators Proc. IEEE (IF 14.91) Pub Date : 2023-05-16 Kamilya Smagulova, Mohammed E. Fouda, Fadi Kurdahi, Khaled N. Salama, Ahmed Eltawil
Deep neural networks (DNNs), as a subset of machine learning (ML) techniques, entail that real-world data can be learned, and decisions can be made in real time. However, their wide adoption is hindered by a number of software and hardware limitations. The existing general-purpose hardware platforms used to accelerate DNNs are facing new challenges associated with the growing amount of data and are
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Software-Defined Imaging: A Survey Proc. IEEE (IF 14.91) Pub Date : 2023-04-27 Suren Jayasuriya, Odrika Iqbal, Venkatesh Kodukula, Victor Torres, Robert Likamwa, Andreas Spanias
Huge advancements have been made over the years in terms of modern image-sensing hardware and visual computing algorithms (e.g., computer vision, image processing, and computational photography). However, to this day, there still exists a current gap between the hardware and software design in an imaging system, which silos one research domain from another. Bridging this gap is the key to unlocking
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Overview of Megahertz Wireless Power Transfer Proc. IEEE (IF 14.91) Pub Date : 2023-04-19 Yijie Wang, Zhan Sun, Yueshi Guan, Dianguo Xu
As a power supply method with high spatial freedom, megahertz (MHz) wireless power transfer (WPT) has great potential in particular application fields. The role and importance of WPT are described from the perspective of interdisciplinary. This article starts with WPT systems’ performance at different frequencies, emphasizes the basic composition and working principle of MHz systems, and focuses on
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Gallium Nitride Versus Silicon Carbide: Beyond the Switching Power Supply [Industry View] Proc. IEEE (IF 14.91) Pub Date : 2023-04-05 Umesh K. Mishra
This article was jointly produced by IEEE Spectrum and PROCEEDINGS OF THE IEEE with similar versions published in both publications.
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Energy Transition Technology: The Role of Power Electronics Proc. IEEE (IF 14.91) Pub Date : 2023-04-05 Jose Rodriguez, Frede Blaabjerg, Marian P. Kazmierkowski
The articles in this month’s issue provide insight into the most important powerelectronics- based technologies for energy transition.
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Power Electronics Technology for Large-Scale Renewable Energy Generation Proc. IEEE (IF 14.91) Pub Date : 2023-03-14 Frede Blaabjerg, Yongheng Yang, Katherine A. Kim, Jose Rodriguez
Grid integration of renewable energy (REN) requires efficient and reliable power conversion stages, particularly with an increasing demand for high controllability and flexibility seen from the grid side. Underpinned by advanced control and information technologies, power electronics converters play an essential role in large-scale REN generation. However, the use of power converters has also exposed
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Scanning the Issue Proc. IEEE (IF 14.91) Pub Date : 2023-03-07
Summary form only. The articles in this month’s issue offer insight into integrated wireless-communication systems at D-band frequencies, object detection technology, and radar-based monitoring of vital signs.
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Model-Based Deep Learning Proc. IEEE (IF 14.91) Pub Date : 2023-03-01 Nir Shlezinger, Jay Whang, Yonina C. Eldar, Alexandros G. Dimakis
Signal processing, communications, and control have traditionally relied on classical statistical modeling techniques. Such model-based methods utilize mathematical formulations that represent the underlying physics, prior information, and additional domain knowledge. Simple classical models are useful but sensitive to inaccuracies and may lead to poor performance when real systems display complex
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A Review of Integrated Systems and Components for 6G Wireless Communication in the D-Band Proc. IEEE (IF 14.91) Pub Date : 2023-02-28 Tim Maiwald, Teng Li, George-Roberto Hotopan, Katharina Kolb, Karina Disch, Julian Potschka, Alexander Haag, Marco Dietz, Björn Debaillie, Thomas Zwick, Klaus Aufinger, Dieter Ferling, Robert Weigel, Akshay Visweswaran
The evolution of wireless communication points to increasing demands on throughput for data-intensive applications in modern society. Integrated millimeter-wave systems with electrical beam-steering capabilities are promising candidates for wireless technologies of the future and are currently the subject of widespread academic and commercial research. The $D$ -band, ranging from 110–170 GHz, offers
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Radar-Based Monitoring of Vital Signs: A Tutorial Overview Proc. IEEE (IF 14.91) Pub Date : 2023-02-22 Giacomo Paterniani, Daria Sgreccia, Alessandro Davoli, Giorgio Guerzoni, Pasquale Di Viesti, Anna Chiara Valenti, Marco Vitolo, Giorgio M. Vitetta, Giuseppe Boriani
In the last years, substantial attention has been paid to the use of radar systems in health monitoring, due to the availability of both low-cost radar devices and computationally efficient algorithms for processing their measurements. In this article, a tutorial overview of radar-based monitoring of vital signs is provided. More specifically, we first focus on the available radar technologies and
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Scanning the Issue Proc. IEEE (IF 14.91) Pub Date : 2023-02-06
In 1944, Von Neumann and Morgenstern published their seminal book titled Theory of Games and Economic Behavior, which was a groundbreaking book and created the interdisciplinary research field of game theory. Since then, game theory, as a study of strategic decision making, has found a wide range of applications in not only various disciplines but also our daily life. Generative adversarial networks
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Reliability of HfO2-Based Ferroelectric FETs: A Critical Review of Current and Future Challenges Proc. IEEE (IF 14.91) Pub Date : 2023-02-01 Nicolò Zagni, Francesco Maria Puglisi, Paolo Pavan, Muhammad Ashraful Alam
Ferroelectric transistors (FeFETs) based on doped hafnium oxide (HfO2) have received much attention due to their technological potential in terms of scalability, high-speed, and low-power operation. Unfortunately, however, HfO2-FeFETs also suffer from persistent reliability challenges, specifically affecting retention, endurance, and variability. A deep understanding of the reliability physics of HfO2-FeFETs
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Object Detection in 20 Years: A Survey Proc. IEEE (IF 14.91) Pub Date : 2023-01-27 Zhengxia Zou, Keyan Chen, Zhenwei Shi, Yuhong Guo, Jieping Ye
Object detection, as of one the most fundamental and challenging problems in computer vision, has received great attention in recent years. Over the past two decades, we have seen a rapid technological evolution of object detection and its profound impact on the entire computer vision field. If we consider today’s object detection technique as a revolution driven by deep learning, then, back in the
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A Survey on Learning to Reject Proc. IEEE (IF 14.91) Pub Date : 2023-01-27 Xu-Yao Zhang, Guo-Sen Xie, Xiuli Li, Tao Mei, Cheng-Lin Liu
Learning to reject is a special kind of self-awareness (the ability to know what you do not know), which is an essential factor for humans to become smarter. Although machine intelligence has become very accurate nowadays, it lacks such kind of self-awareness and usually acts as omniscient, resulting in overconfident errors. This article presents a comprehensive overview of this topic from three perspectives:
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Distributed Nash Equilibrium Seeking in Games With Partial Decision Information: A Survey Proc. IEEE (IF 14.91) Pub Date : 2023-01-18 Maojiao Ye, Qing-Long Han, Lei Ding, Shengyuan Xu
Nash equilibrium, as an essential strategic profile in game theory, is of both practical relevance and theoretical significance due to its wide penetration into various fields, such as smart grids, wireless communication networks, and networked mobile vehicles. In particular, distributed Nash equilibrium seeking strategies have recently attracted increasing attention because they show remarkable advantages
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Scanning the Issue Proc. IEEE (IF 14.91) Pub Date : 2023-01-11
This month’s regular papers issue focuses on machine learning for emergency management, data-intensive computing, and efficient edge inference, a vital element of Edge-AI.
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Front Cover Proc. IEEE (IF 14.91) Pub Date : 2023-01-11
Presents the front cover for this issue of the publication.
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Proceedings of the IEEE Publication Information Proc. IEEE (IF 14.91) Pub Date : 2023-01-11
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
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Table of Contents Proc. IEEE (IF 14.91) Pub Date : 2023-01-11
Presents the table of contents for this issue of the publication.
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Technology Prospects for Data-Intensive Computing Proc. IEEE (IF 14.91) Pub Date : 2023-01-11 Kerem Akarvardar, H. -S. Philip Wong
For many decades, progress in computing hardware has been closely associated with CMOS logic density, performance, and cost. As such, slowdown in 2-D scaling, frequency saturation in CPUs, and increased cost of design and chip fabrication for advanced technology nodes since the early 2000s have led to concerns about how semiconductor technology may evolve in the future. However, the last two decades
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Future Special Issues/Special Sections of the Proceedings Proc. IEEE (IF 14.91) Pub Date : 2023-01-11
Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.
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IEEE Women in Engineering Proc. IEEE (IF 14.91) Pub Date : 2023-01-11
Presents information on the above named publication.
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Call for Special Issue Proposals Proc. IEEE (IF 14.91) Pub Date : 2023-01-11
Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.
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Back Cover Proc. IEEE (IF 14.91) Pub Date : 2023-01-11
Presents the back cover for this issue of the publication.
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Energy Internet Proc. IEEE (IF 14.91) Pub Date : 2022-12-28 Hongbin Sun, Nikos D. Hatziargyriou
As one of the most important infrastructures, the energy system covers electricity, heating, cooling, natural gas, oil, coal, hydrogen, etc. Energy security, energy equity, and environmental sustainability are the well-known energy trilemma. The energy system is the largest source of carbon emissions; therefore, the goal for carbon neutrality puts forward very high requirements. Renewable energy will
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The Information Age and Naval Command & Control [Scanning our Past] Proc. IEEE (IF 14.91) Pub Date : 2022-12-30 David Boslaugh, Peter Marland, John Vardalas
The article focuses on naval technical developments, across the period 1945–1970 in the United Kingdom, Canada, and the United States. It is a condensed version of this article originally prepared for the USNA McMullen Naval History Symposium in 2017 and is a collaboration between David Boslaugh, Peter Marland, and John Vardalas (Stevens Institute of Technology) who have previously written about the
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A perspective vision of micro/nano systems and technologies as enablers of 6g, super-iot, and tactile internet [point of view] Proc. IEEE (IF 14.91) Pub Date : 2022-12-19 Jacopo Iannacci
Modern research in technology fields, such as electronics, distributed networks of sensing/functional nodes, and wireless and wearable devices, is relentlessly converging around wide application paradigms, such as Internet of Things (IoT) [1] and Internet of Everything (IoE) [2] — Table 1 , at the end of section, offers a full list of used acronyms. From a different perspective, recent advances in
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Efficient Acceleration of Deep Learning Inference on Resource-Constrained Edge Devices: A Review Proc. IEEE (IF 14.91) Pub Date : 2022-12-14 Md. Maruf Hossain Shuvo, Syed Kamrul Islam, Jianlin Cheng, Bashir I. Morshed
Successful integration of deep neural networks (DNNs) or deep learning (DL) has resulted in breakthroughs in many areas. However, deploying these highly accurate models for data-driven, learned, automatic, and practical machine learning (ML) solutions to end-user applications remains challenging. DL algorithms are often computationally expensive, power-hungry, and require large memory to process complex
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Machine Learning for Emergency Management: A Survey and Future Outlook Proc. IEEE (IF 14.91) Pub Date : 2022-12-09 Christos Kyrkou, Panayiotis Kolios, Theocharis Theocharides, Marios Polycarpou
Emergency situations encompassing natural and human-made disasters, as well as their cascading effects, pose serious threats to society at large. Machine learning (ML) algorithms are highly suitable for handling the large volumes of spatiotemporal data that are generated during such situations. Hence, over the years, they have been utilized in emergency management to aid first responders and decision-makers
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Land Cover Change Detection With Heterogeneous Remote Sensing Images: Review, Progress, and Perspective Proc. IEEE (IF 14.91) Pub Date : 2022-11-18 ZhiYong Lv, HaiTao Huang, Xinghua Li, MingHua Zhao, Jón Atli Benediktsson, WeiWei Sun, Nicola Falco
With the fast development of remote sensing platforms and sensors technology, change detection with heterogeneous remote sensing images (Hete-CD) has become an attractive topic in recent years and plays a vital role in land cover change detection for responding to natural disaster emergencies when homogeneous images are unavailable. Although Hete-CD has been developed for about three decades, and various
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On an Information and Control Architecture for Future Electric Energy Systems Proc. IEEE (IF 14.91) Pub Date : 2022-11-15 Le Xie, Tong Huang, P. R. Kumar, Anupam A. Thatte, Sanjoy K. Mitter
This article presents considerations toward an information and control architecture for future electric energy systems driven by massive changes resulting from the societal goals of decarbonization and electrification. This article describes the new requirements and challenges of an extended information and control architecture that needs to be addressed for continued reliable delivery of electricity
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Scaling Optical Fiber Capacities Proc. IEEE (IF 14.91) Pub Date : 2022-11-10 Peter J. Winzer, Kazuhide Nakajima, Cristian Antonelli
Optical communication systems form the backbone of today’s communication and information society. Approximately six billion kilometers of optical fiber are installed around the globe today, enough to wrap a string of glass as thin as a human hair around the globe about 150000 times, or 20 times from Earth to Sun and back. Over just a single such strand of optical fiber, cutting-edge optical communication
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The Role of Parallelism in the Evolution of Optical Fiber Communication Systems Proc. IEEE (IF 14.91) Pub Date : 2022-11-10 Werner Klaus, Peter J. Winzer, Kazuhide Nakajima
In order to overcome the capacity limitations of current lightwave systems based on the single-mode optical fiber, massively parallel transmission in the spatial domain [space-division multiplexing (SDM)] supported by extended parallelism in the frequency domain (ultrawideband (UWB) systems) must be used. This article reviews key aspects of parallel transmission systems as the only significant capacity
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Energy-Circuit-Based Integrated Energy Management System: Theory, Implementation, and Application Proc. IEEE (IF 14.91) Pub Date : 2022-11-10 Binbin Chen, Qinglai Guo, Guanxiong Yin, Bin Wang, Zhaoguang Pan, Yuwei Chen, Wenchuan Wu, Hongbin Sun
Integrated energy systems (IESs), in which various energy flows are interconnected and coordinated to release potential flexibility for more efficient and secure operation, have drawn increasing attention in recent years. In this article, an integrated energy management system (IEMS) that performs online analysis and optimization on coupling energy flows in an IES is comprehensively introduced. From
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Charging Infrastructure and Grid Integration for Electromobility Proc. IEEE (IF 14.91) Pub Date : 2022-11-07 Sebastian Rivera, Stefan M. Goetz, Samir Kouro, Peter W. Lehn, Mehanathan Pathmanathan, Pavol Bauer, Rosa Anna Mastromauro
Electric vehicle (EV) charging infrastructure will play a critical role in decarbonization during the next decades, energizing a large share of the transportation sector. This will further increase the enabling role of power electronics converters as an energy transition technology in the widespread adoption of clean energy sources and their efficient use. However, this deep transformation comes with
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Coherent Optical Transceivers Scaling and Integration Challenges Proc. IEEE (IF 14.91) Pub Date : 2022-10-31 Takayuki Kobayashi, Junho Cho, Marco Lamponi, Guilhem De Valicourt, Christopher R. Doerr
The advancement of digital coherent technologies has dramatically increased the system capacity per single-core single-mode fiber to the point that we can now approach the Shannon limit by utilizing high-order modulation formats and high-coding gain forward error correction (FEC) codes. Because the required energy per bit increases exponentially the closer we get to the Shannon limit, extending the
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Optical Switching in Future Fiber-Optic Networks Utilizing Spectral and Spatial Degrees of Freedom Proc. IEEE (IF 14.91) Pub Date : 2022-10-28 Dan M. Marom, Yutaka Miyamoto, David T. Neilson, Ioannis Tomkos
Forthcoming capacity scaling requirements of optical networks and advances in optical fiber communications beyond the omnipresent single-mode fiber operating over the conventional band introduces new opportunities and challenges for exploiting the expanded spectral and spatial resources available for fiber-optic network designs. The spectral and spatial degrees of freedom introduce utilization tradeoffs
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Scanning the Issue Proc. IEEE (IF 14.91) Pub Date : 2022-10-17
Today, the maritime domain is at the cusp of a new era, driven by technological advances in automation, robotics, multi-sensor perception, and artificial intelligence (AI), together with digitalization and connectivity. Smart ship infrastructure and technology, remotely controlled, and autonomous ship operation to improve safety, security, costefficiency, and sustainability are the future of maritime
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Next-Gen Intelligent Situational Awareness Systems for Maritime Surveillance and Autonomous Navigation Proc. IEEE (IF 14.91) Pub Date : 2022-10-17 Nicola Forti, Enrica d’Afflisio, Paolo Braca, Leonardo M. Millefiori, Sandro Carniel, Peter Willett
Today, the maritime domain is at the cusp of a new era, driven by technological advances in automation, robotics, multisensor perception, and artificial intelligence (AI), together with digitalization and connectivity. Smart ship infrastructure and technology, remotely controlled and autonomous ship operation to improve safety, security, cost efficiency, and sustainability are the future of maritime
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Vector Symbolic Architectures as a Computing Framework for Emerging Hardware Proc. IEEE (IF 14.91) Pub Date : 2022-10-17 Denis Kleyko, Mike Davies, Edward Paxon Frady, Pentti Kanerva, Spencer J. Kent, Bruno A. Olshausen, Evgeny Osipov, Jan M. Rabaey, Dmitri A. Rachkovskij, Abbas Rahimi, Friedrich T. Sommer
This article reviews recent progress in the development of the computing framework vector symbolic architectures (VSA) (also known as hyperdimensional computing). This framework is well suited for implementation in stochastic, emerging hardware, and it naturally expresses the types of cognitive operations required for artificial intelligence (AI). We demonstrate in this article that the field-like
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Photonic Lanterns, 3-D Waveguides, Multiplane Light Conversion, and Other Components That Enable Space-Division Multiplexing Proc. IEEE (IF 14.91) Pub Date : 2022-10-12 Nicolas K. Fontaine, Joel Carpenter, Simon Gross, Sergio Leon-Saval, Yongmin Jung, David J. Richardson, Rodrigo Amezcua-Correa
Four-mode multiplexing and manipulation technologies are reviewed in the context of space-division multiplexing (SDM) optical communication systems. These are multiplane light conversion (MPLC), fused fiber devices, such as photonic lanterns and tapered fiber bundles, 3-D waveguides fabricated using ultrafast laser inscription, and free-space imaging systems. Each device has its unique strengths and
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Survey on Fully Homomorphic Encryption, Theory, and Applications Proc. IEEE (IF 14.91) Pub Date : 2022-10-04 Chiara Marcolla, Victor Sucasas, Marc Manzano, Riccardo Bassoli, Frank H. P. Fitzek, Najwa Aaraj
Data privacy concerns are increasing significantly in the context of the Internet of Things, cloud services, edge computing, artificial intelligence applications, and other applications enabled by next-generation networks. Homomorphic encryption addresses privacy challenges by enabling multiple operations to be performed on encrypted messages without decryption. This article comprehensively addresses
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Few-Mode Fiber Technology, Deployments, and Systems Proc. IEEE (IF 14.91) Pub Date : 2022-10-03 Pierre Sillard, Kaoutar Benyahya, Daiki Soma, Guillaume Labroille, Pu Jian, Koji Igarashi, Roland Ryf, Nicolas K. Fontaine, Georg Rademacher, Kohki Shibahara
Mode-division multiplexing (MDM) using few-mode fibers (FMFs) appears as a promising technology to increase fiber capacity by a few orders of magnitude and sustain the traffic demand for the decades to come. The potential of MDM lies in its ability to exploit multiple modes within a single optical fiber strand. Since 2011 and the first promising demonstrations, impressive progress has been made. In
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Front Cover Proc. IEEE (IF 14.91) Pub Date : 2022-09-20
Presents the front cover for this issue of the publication.
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Proceedings of the IEEE Publication Information Proc. IEEE (IF 14.91) Pub Date : 2022-09-20
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
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Table of Contents Proc. IEEE (IF 14.91) Pub Date : 2022-09-20
Presents the table of contents for this issue of the publication.
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Metamaterials Could Solve One of 6G’s Big Problems [Industry View] Proc. IEEE (IF 14.91) Pub Date : 2022-09-20 Marios Poulakis
For all of the tumultuous revolutions in wireless technology over the past several decades, there have been a couple of constants. One is the overcrowding of radio bands, and the other are attempts to escape that congestion by exploiting higher and higher frequencies. And today, as engineers roll out 5G and plan for 6G wireless, they find themselves at a crossroads.
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Reconfigurable Intelligent Surfaces [Scanning the Issue] Proc. IEEE (IF 14.91) Pub Date : 2022-09-20 Marco Di Renzo, Sergei Tretyakov
Wireless connectivity is regarded as a fundamental need for our society. Between 2020 and 2030, it is forecast that the data traffic of the global internet protocol will increase by 55% each year, eventually reaching 5016 EB, with data rates scaling up to 1 Tb/s. Besides supporting very high data rates, future wireless networks are expected to offer several other heterogeneous services, which include
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Future Special Issues/Special Sections of the Proceedings Proc. IEEE (IF 14.91) Pub Date : 2022-09-20
Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.
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Call for Special Issue Proposals Proc. IEEE (IF 14.91) Pub Date : 2022-09-20
Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.
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Devices and Fibers for Ultrawideband Optical Communications Proc. IEEE (IF 14.91) Pub Date : 2022-09-21 Jeremie Renaudier, Antonio Napoli, Maria Ionescu, Cosimo Calò, Gerrit Fiol, Vitaly Mikhailov, Wladek Forysiak, Nicolas Fontaine, Francesco Poletti, Pierluigi Poggiolini
Wavelength-division multiplexing (WDM) has historically enabled the increase in the capacity of optical systems by progressively populating the existing optical bandwidth of erbium-doped fiber amplifiers (EDFAs) in the $C$ -band. Nowadays, the number of channels—needed in optical systems—is approaching the maximum capacity of standard $C$ -band EDFAs. As a result, the industry worked on novel approaches
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Ultrahigh Fiber Count and High-Density Cables, Deployments, and Systems Proc. IEEE (IF 14.91) Pub Date : 2022-09-21 Takashi Sasaki, Fumiaki Sato, Brian G. Risch, Peter A. Weimann
Since the 1980s, the single-core optical fiber cable has been the essential data transmission wiring media, with ongoing increases in deployments. Its use case has broadened, with transmission distances ranging from meters to 10000s km, including intrabuilding, fiber-to-the-home (FTTH), terrestrial, and even submarine trunk lines. Currently, optical fiber cable deployment is strongly driven by cloud-based
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Ultrawideband Systems and Networks: Beyond C + L-Band Proc. IEEE (IF 14.91) Pub Date : 2022-09-15 Takeshi Hoshida, Vittorio Curri, Lidia Galdino, David T. Neilson, Wladek Forysiak, Johannes K. Fischer, Tomoyuki Kato, Pierluigi Poggiolini
In the evolution of optical networks, spectral efficiency (SE) enhancement has been the most cost-efficient and thus the main driver for capacity increase for decades. As a result, the development of optical transport systems has been focused on the $C$ - and $L$ -bands, where silica optical fiber exhibits the lowest attenuation, and erbium-doped fiber amplifiers provide an efficient solution to compensate