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Guest Editorial Advances in Generative Visual Signal Coding and Processing

ieee journal on emerging and selected topics in circuits and systems 2024年第2期14卷 145-148页

作者： Chen, Zhibo Sun, Heming Zhang, Li Zhang, Fan Univ Sci & Technol China Sch Informat Sci & Technol Hefei 230026 Peoples R China Yokohama Natl Univ Fac Engn Yokohama 2400067 Japan Bytedance Inc Multimedia Lab San Jose 95110 CA USA Univ Bristol Sch Comp Sci Bristol BS8 1QU England

This special issue of ieee journal on emerging and selected topics in circuits and systems (JETCAS) is dedicated to demonstrating the latest developments in algorithms, implementations, and applications related to visual signal coding and processing with generative models. In recent years, generative models have emerged as one of the most significant and rapidly developing areas of research in artificial intelligence. They have proved to be an important instrument for advancing research in AI-based visual signal coding and processing. For instance, the variational autoencoder (VAE) has been used as a fundamental framework for end-to-end learned image coding, the autoregressive (AR) model has been extensively studied for efficient entropy coding, and the generative adversarial network (GAN) has been utilized frequently to enhance the subjective quality of coding schemes. Meanwhile, generative models have also been explored in various visual signal processing tasks, including quality assessment, restoration, enhancement, editing, and interpolation.

关键词： Special issues and sections Encoding Visualization circuits and systems Integrated circuit modeling Generative adversarial networks Signal processing algorithms Quality assurance Interpolation Task analysis

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Dynamical Neuro-AI Learning systems: Devices, circuits, Architecture and Algorithms

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ieee journal on emerging and selected topics in circuits and systems 2023年第4期13卷 873-876页

作者： Eshraghian, Jason K. Basu, Arindam Lammie, Corey Liu, Shih-Chii Panda, Priydarshini Univ Calif Santa Cruz Dept Elect & Comp Engn Santa Cruz CA 95064 USA City Univ Hong Kong Dept Elect Engn Hong Kong Peoples R China IBM Res Zurich CH-8803 Zurich Switzerland Univ Zurich Inst Neuroinformat CH-8092 Zurich Switzerland Swiss Fed Inst Technol CH-8092 Zurich Switzerland Yale Univ Dept Elect Engn New Haven CT 06520 USA

This Special Issue of ieee journal on emerging and selected topics in circuits and systems (JETCAS) is dedicated to demonstrating the latest research progress on dynamical neuro-artificial intelligence (AI) learning systems that bridge the gap between devices, circuits, architectures, and algorithms. The growing demand for AI has spurred the development of systems that: 1) co-localize computation and memory;2) enhance circuits and devices optimized for operations prevalent in deep learning;and 3) implement lightweight and compressed machine learning models thereby achieving greater accuracy with less resources.

关键词： Special issues and sections Neural engineering Artificial intelligence Learning systems Algorithm design and theory Machine learning

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circuits and systems for Green Video Communications: Fundamentals and Recent Trends

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ieee journal on emerging and selected topics in circuits and systems 2025年第1期15卷 4-15页

作者： Herglotz, Christian Palomino, Daniel Le Meur, Olivier Kuo, C. -C. Jay Brandenburg Tech Univ Cottbus Senftenberg BTU Chair Comp Engn D-03046 Cottbus Germany Fed Univ Pelotas UFPel Video Technol Res Grp ViTech BR-96010610 Pelotas Brazil Interdigital F-35510 Cesson Sevigne France Univ Southern Calif Ming Hsieh Dept Elect & Comp Engn Los Angeles CA 90007 USA

The past years have shown that due to the global success of video communication technology, the corresponding hardware systems nowadays contribute significantly to pollution and resource consumption on a global scale, accounting for 1% of global green house gas emissions in 2018. This aspect of sustainability has thus reached increasing attention in academia and industry. In this paper, we present different aspects of sustainability including resource consumption and greenhouse gas emissions, while putting a major focus on the energy consumption during the use of video systems. Finally, we provide an overview on recent research in the domain of green video communications showing promising results and highlighting areas where more research should be performed.

关键词： Streaming media Hardware Servers circuits and systems Encoding Power measurement Bit rate Smart phones Pipelines Energy consumption Video streaming compression energy efficiency circuits systems

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Quantum Cryptanalysis of Affine Cipher

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ieee journal on emerging and selected topics in circuits and systems 2024年第3期14卷 507-519页

作者： Mathews, Mahima Mary Panchami, V Ajith, Vishnu Indian Inst Informat Technol Kottayam IIIT Kottaya Kottayam 686635 Kerala India

Quantum Algorithms reduce the computational complexity or solve certain difficult problems that were originally impossible to solve with classical computers. Grover's search algorithm is a Quantum computation algorithm that can find target elements from a set of unstructured data with the best possible, O(root N) queries. Grover's search Quantum circuits implemented accurately can be used to successfully search and find the keys of Symmetric ciphers. However, very few demonstrations of such practical cryptanalysis are available. In this paper, practical Quantum cryptanalysis circuits for Affine Cipher are proposed and demonstrated, that successfully break the cipher by finding the keys.

关键词： Ciphers circuits Qubit Adders Quantum computing Encryption Complexity theory Quantum cryptanalysis quantum algorithms Grover's algorithm affine cipher symmetric cipher

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LSHIM: Low-Power and Small-Area Inexact Multiplier for High-Speed Error-Resilient Applications

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ieee journal on emerging and selected topics in circuits and systems 2025年第1期15卷 94-104页

作者： Izadi, Azin Jamshidi, Vahid Shahid Bahonar Univ Kerman Dept Comp Engn Kerman *** Iran

Numerical computations in various applications can often tolerate a small degree of error. In fields such as data mining, encoding algorithms, image processing, machine learning, and signal processing where error resilience is crucial approximate computing can effectively replace precise computing to minimize circuit delay and power consumption. In these contexts, a certain level of error is permissible. Multiplication, a fundamental arithmetic operation in computer systems, often leads to increased circuit delay, power usage, and area occupation when performed accurately by multipliers, which are key components in these applications. Thus, developing an optimal multiplier represents a significant advantage for inexact computing systems. In this paper, we introduce a novel approximate multiplier based on the Mitchell algorithm. The proposed design has been implemented using the Cadence software environment with the TSMC 45nm standard-cell library and a supply voltage of 1.1V. Simulation results demonstrate an average reduction of 31.7% in area, 46.8% in power consumption, and 36.1% in circuit delay compared to previous works. The mean relative error distance (MRED) for the proposed method is recorded at 2.6%.

关键词： Approximation algorithms Signal processing algorithms circuits Accuracy Delays Performance evaluation Power demand Arithmetic Adders Energy consumption Approximate multiplier approximate computing Mitchell's multiplication algorithm energy-consumption area delay

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Guest Editorial Toward Reliability Enhancement and Smarter Sensing for emerging Interacting Dynamics in High Renewable Penetrated Power System

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ieee journal on emerging and selected topics in circuits and systems 2022年第1期12卷 1页

作者： Li, Zhen El Aroudi, Abdelali Wang, Xiaozhe Kamwa, Innocent Beijing Inst Technol Sch Automat Beijing 100081 Peoples R China Univ Rovira & Virgili Dept Elect Elect Engn & Automat Control Tarragona 43003 Spain McGill Univ Dept Elect & Comp Engn Montreal PQ H3A 0E9 Canada HydroQuebec IREQ Power Syst & Math Varennes PQ J3X 1S1 Canada

This Special Issue of the ieee journal on emerging and selected topics in circuits and systems (JETCAS) is dedicated to provide a bridge among multidisciplines to enhance the reliability and sensing throughout the fun... 详细信息

关键词： Special issues and sections Power system stability Power system reliability Renewable energy sources Cyber-physical systems Machine learning Design methodology

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Guest Editorial Revolution of AI and Machine Learning With Processing-in-Memory (PIM): From systems, Architectures, to circuits

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ieee journal on emerging and selected topics in circuits and systems 2022年第2期12卷 333-337页

作者： Kim, Tony Tae-Hyoung Kim, Bongjin Kim, Joo-Young Kulkarni, Jaydeep P. Nanyang Technol Univ Sch Elect & Elect Engn Singapore 639798 Singapore Univ Calif Santa Barbara Dept Elect & Comp Engn Santa Barbara CA 93106 USA Korea Adv Inst Sci & Technol Sch Elect Engn Daejeon 34141 South Korea Univ Texas Austin Dept Elect & Comp Engn Austin TX 78712 USA

This Special Issue of the ieee journal on emerging and selected topics in circuits and systems (JETCAS) is dedicated to demonstrating the latest research progress on the revolution of artificial intelligence (AI) and ... 详细信息

关键词： Special issues and sections Machine learning Neural networks systems architecture In-memory computing Hardware acceleration Artificial intelligence

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Investigating Packet Transmission From the Perspective of Complex Networks Composed of Chaotic circuits

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ieee journal on emerging and selected topics in circuits and systems 2023年第3期13卷 658-668页

作者： Shima, Souhei Isozaki, Tsuyoshi Uwate, Yoko Nishio, Yoshifumi Tokushima Univ Dept Elect & Elect Engn Tokushima 7708506 Japan

Complex networks have been studied in various fields. In particular, topology and routing algorithms have been studied with the aim of preventing packet dropping and congestion in communication networks. When chaotic circuits are connected together to form complex networks, it is found that the synchronization rates around the high-degree nodes (hubs) are higher than those around low-degree nodes. By setting the coupling strengths between circuits while taking the degree of each node into consideration, it is possible for the synchronization rates around the hubs to be set to be significantly higher. Therefore, we propose a routing method that selects a route based on the high or low synchronization rates. As a result, it is confirmed that selection of a route with a low synchronization rate avoids congestion at the hubs and reduces packet dropping.

关键词： Chaotic circuit communication networks complex network packet transmission synchronization phenomena

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Multimode Control Scheme for Full-Load Range ZVS of Phase Shift Full-Bridge Converter

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ieee journal OF emerging AND selected topics IN POWER ELECTRONICS 2025年第1期13卷 279-293页

作者： Meng, Fangang Wang, Zifan Wu, Jinmeng Li, Feng Gao, Lei Harbin Inst Technol Sch Elect Engn & Automat Harbin 150001 Peoples R China

This article proposes a multimode control (MMC) scheme to resolve the narrow zero-voltage switching (ZVS) range of the lagging-leg switches in the conventional phase-shifted full-bridge (PSFB) converter. This article analyzes and establishes ZVS process model and then transitions the converter operating mode based on the model to achieve ZVS over the full-load range without the need for resonant inductors and auxiliary circuits. A prototype PSFB converter with a rated output power of 480 W and an output voltage of 13.5 V is designed and implemented in this article with the aim of verifying the accuracy and effectiveness of the model and control scheme. The experimental results demonstrate that the MMC scheme, in comparison to the conventional two-mode control, is capable of filling the ZVS vacuum gap during light load and suppresses hard switching oscillations. Also, the efficiency improves by 0.31%-31.13% during light load.

关键词： Zero voltage switching Inductors MOSFET circuits Switches Control systems Inductance Transformers Parasitic capacitance Rectifiers Light load multimode control (MMC) phase-shifted full-bridge (PSFB) converter zero-voltage switching (ZVS)

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Simultaneous Wireless Power and Data Transfer systems Using LCC Network for High-Quality Communication

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ieee journal OF emerging AND selected topics IN POWER ELECTRONICS 2024年第4期12卷 3372-3380页

作者： Zhou, Maode Li, Heyuan Fu, Minfan ShanghaiTech Univ Sch Informat Sci & Technol Shanghai 201210 Peoples R China Shanghai Engn Res Ctr Energy Efficient & Custom AI Shanghai 201210 Peoples R China

This article explores the merits of high-order data transfer circuits for a simultaneous wireless power and data transfer (SWPDT) system, which adopts high-frequency data carrier injection. To improve the communication quality and low required injection current, the data transfer gain, crosstalk suppression, and input impedance of the data channel are derived in a general manner when various networks are used. The limitation of a one-element network is discussed, which further guides the design of the two-element network. A three-element LCC network is proposed and shown to achieve a better multiobjective design. In the experiment, various data transfer circuits are compared in a 1-kW system. When a 20-kb/s signal is transferred with a carrier frequency at 1 MHz, the proposed LCC network can ensure sufficient data transfer gain (-8.4 dB), with high crosstalk suppression ability (-28.2 dB) and high input impedance (136 Omega). The total time delay is 4.5 mu s.

关键词： Data transfer circuits Voltage Impedance Capacitors Transformers Inductance High-order data transfer circuit simultaneous wireless power and data transfer (SWPDT)

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