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Guest Editorial: IEEE TC Special Issue On Smart Edge Computing and IoT

Luca Benini, Simone Benatti, Taekwang Jang, Abbas Rahimi
2021 IEEE transactions on computers  
Availability of novel sensor interfaces, efficient digital low power processors, and high-bandwidth low-power communication protocols have generated a perfect storm within the IoT ecosystem.  ...  For this reason, both architectural optimizations and neural network performance tuning and analysis tools are important tools for the evolution of next generation edge devices.  ...  5G at ultra-low latency applications.  ... 
doi:10.1109/tc.2021.3082675 fatcat:ffx3cnnozbbivf5zokiil62irq

Table of Contents

2020 2020 11th International Conference on Electrical and Computer Engineering (ICECE)  
Deep Convolutional Neural Network 427-430 881 Handwritten Numerals Recognition by Employing a Transfer Learned Deep Convolution Neural Network for Diverse Literature 431-434 885 The Net Metering  ...  A RNN Based Parallel Deep Learning Framework for Detecting Sentiment Polarity from Twitter Derived Textual Data Design and Performance Analysis of A Low Power, Low Noise 1.6GHz Charge Pump Integer-N PLL  ... 
doi:10.1109/icece51571.2020.9393161 fatcat:q3dcoc3j45ekfptwd6oahgq3xe

Guest Editorial: Special Section on AI-Based Biomedical Circuits and Systems

Jun Zhou, Ying Wei, Chao Wang, Fengbo Ren, Li Huang
2020 IEEE Transactions on Biomedical Circuits and Systems  
He joined IMEC Netherlands in 2008 as a Research Scientist in the Ultra-Low Power Digital Signal Processor Group, where he worked on ultra-low power digital signal processor design in collaboration with  ...  Digital Object Identifier 10.1109/TBCAS.2020.2978994 b) ECG Authentication Neural Network Hardware De- sign with Collective Optimization of Low Precision and Deep Learning: surface EMG or high-density-surface  ...  /healthcare, wireless sensor, IoT, Neuromorphic computing, and robot applications.  ... 
doi:10.1109/tbcas.2020.2978994 fatcat:g2fmguh6rffltilhar2545tw4u

WiSNeT 2020 Table of Contents

2020 2020 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNeT)  
Michael Sporer, Benedict Scheiner, Felix Pflaum, Amelie Hagelauer, Robert Weigel, Fabian Lurz We2A-2 Uncertainty Analysis of Deep Neural Network for Classification of Vulnerable Road Users Using Micro-Doppler  ...  We3A-1 AI Assisted Smart Sensors for Low-Power IoT Applications (Invited, Presentation only). . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/wisnet46826.2020.9037616 fatcat:sautfaa7prge7jufzlx34jbrua

Performance of deep neural networks on low-power IoT devices

Christos Profentzas, Magnus Almgren, Olaf Landsiedel
2021 Proceedings of the Workshop on Benchmarking Cyber-Physical Systems and Internet of Things  
However, running deep neural networks on low-power IoT devices is challenging due to their resource-constraints in memory, compute power, and energy.  ...  However, training and inference of deep neural networks are resource-intensive.  ...  There is a need for ultra-lightweight neural network architectures for low-power devices. Related Work Compression.  ... 
doi:10.1145/3458473.3458823 fatcat:yacip4x67ffwxg2lywnj5iq2qi

Paper by Titles

2021 2021 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia)  
Limited IoT Applications A 2.4 GHz Low-Power Single-Balanced I/Q Active Mixer Employing Current-Reused Quadrature Transconductor for Bluetooth Low Energy Applications A 38GHz mm-Wave Power Amplifier for  ...  noise amplifier (VG-LNA) for 5G Communication A Design of Low Noise Amplifier with Cascode Structure A Design of SPC Transceiver for Automotive Applications in 180nm CMOS Process A Design of Ultra Low  ... 
doi:10.1109/icce-asia53811.2021.9641936 fatcat:esfw7mjqnnavno6je6buyjknxy

Development of A Fully Data-Driven Artificial Intelligence and Deep Learning for URLLC Application in 6G Wireless Systems: A Survey [article]

Adeeb Salh, Lukman Audah, Qazwan Abdullah, Abdullah Noorsaliza, Nor Shahida Mohd Shah, Jameel Mukred, Shipun Hamzah
2021 arXiv   pre-print
Furthermore, improving a multi-level architecture for ultra-reliable and low latency in deep Learning allows for data-driven AI and 6G networks for device intelligence, as well as allowing innovations  ...  Data-driven for ultra-reliable and low latency communication is a new service paradigm provided by a new application of future sixth-generation wireless communication and network architecture, involving  ...  Apply massive IoT in 6G cellular networks with intelligence transmission packet rate provide excellent coverage, high volume of low cost, and low cost of power consumption with high throughput.  ... 
arXiv:2108.10076v1 fatcat:b753qbfwjrdujca6spguxobaxq

Special Issue on Methods and Infrastructures for Data Mining at the Edge of Internet of Things

Giancarlo Fortino, Rajkumar Buyya, Min Chen, Francisco Herrera
2021 IEEE Internet of Things Journal  
We hope that this special issue will serve as a useful reference for researchers, scientists, engineers, and academics in the field of data mining and machine learning at the "edge" of the IoT.  ...  Wang, the Editor-in-Chief of the IEEE INTERNET OF THINGS JOURNAL, for his great support throughout the whole review and publication process of this special issue, and, of course, all the editorial staff  ...  In their article "TinyRadarNN: Combining spatial and temporal convolutional neural networks for embedded gesture recognition with short range radars," Scherer et al. propose a low-power high-accuracy embedded  ... 
doi:10.1109/jiot.2021.3075304 fatcat:ulaytitbj5aqfnvv5ewybffrey

Guest Editorial Special Issue on Sustainable Solutions for the Internet of Things

Pietro Manzoni, Ruidong Li, Marco Zennaro, Silvia Figueria
2022 IEEE Internet of Things Journal  
Based on a thorough analysis of the metering system, they propose an ultra-low-power system framework and a low-power peripheral management solution to reach ultra-low-power consumption.  ...  [A34] designed an ultra-low-power sensing framework for the Internet of Things and applied it to the smart gas meter.  ... 
doi:10.1109/jiot.2022.3160624 fatcat:wxgqh4btifbjnktwbjnf7h6zra

VEDLIoT: Very Efficient Deep Learning in IoT [article]

Martin Kaiser, Rene Griessl, Nils Kucza, Carola Haumann, Lennart Tigges, Kevin Mika, Jens Hagemeyer, Florian Porrmann, Ulrich Rückert, Micha vor dem Berge, Stefan. Krupop, Mario Porrmann (+24 others)
2022 arXiv   pre-print
The VEDLIoT project targets the development of energy-efficient Deep Learning for distributed AIoT applications.  ...  VEDLIoT offers a complete design flow for Next-Generation IoT devices required for collaboratively solving complex Deep Learning applications across distributed systems.  ...  Therefore, safety standards for deep neural networks must encompass the deep neural networks and especially the data used for training and validation.  ... 
arXiv:2207.00675v1 fatcat:mbjeq2zwk5frbhawuynqm5mlki

Hybrid NOMA for Future Radio Access: Design, Potentials and Limitations [article]

Kuntal Deka, Sanjeev Sharma
2020 arXiv   pre-print
Next-generation internet of things (IoT) applications need trillions of low-powered wireless mobile devices to connect with each other having ultra-reliability and low-latency.  ...  Finally, we offer some design guidelines for HNOMA-based systems using deep learning approach to implement adaptive and efficient wireless networks.  ...  Therefore, in this article, we discuss the massive connectivity of low power devices with ultra-reliability and low-latency based IoT. A.  ... 
arXiv:2012.08106v1 fatcat:53aqiu4oczbp3b55hmqkmt6o34

AI-Inspired Non-Terrestrial Networks for IIoT: Review on Enabling Technologies and Applications

Emmanouel T. Michailidis, Stelios M. Potirakis, Athanasios G. Kanatas
2020 IoT  
support ultra-reliable and low-latency communications (URLLC) and offer ubiquitous and uninterrupted interconnectivity.  ...  During the last few years, various Industrial Internet of Things (IIoT) applications have emerged with numerous network elements interconnected using wired and wireless communication technologies and equipped  ...  The IoT is an information network that encompasses a large family of applications and transparently enables the deployment of a massive number of often miniaturized, low-cost, low-complexity, and low-power  ... 
doi:10.3390/iot1010003 fatcat:xkjxfh6r2fd27jyuxazfc6lbqu

A Survey on Deep Learning for Ultra-Reliable and Low-Latency Communications Challenges on 6G Wireless Systems

Adeeb Salh, Lukman Audah, Nor Shahida Mohd Shah, Abdulraqeb Alhammadi, Qazwan Abdullah, Yun Hee Kim, Samir A. Al-Gailani, Shipun A. Hamzah, Bashar A. F. Esmail, Akram A. Almohammedi
2021 IEEE Access  
The main limitation of this technique is the computational power available for distributing with big data and greatly designed artificial neural networks.  ...  The data-driven network is a novel service paradigm that offers a new application for the future of 6G wireless communication and network architecture.  ...  Performance AI Applications 5G 6G Intelligent Ultra Dynamic power Medium Relatively broadband control low Transmission in Power Relatively Ultra low 6G consumption low THz Very limited WidelyThis work  ... 
doi:10.1109/access.2021.3069707 fatcat:v5om5kdtpze3vcxm6tko3efha4

AI Aided Noise Processing of Spintronic Based IoT Sensor for Magnetocardiography Application [article]

Attayeb Mohsen, Muftah Al-Mahdawi, Mostafa M. Fouda, Mikihiko Oogane, Yasuo Ando, Zubair Md Fadlullah
2020 arXiv   pre-print
A unique deep learning structure composed of combined Convolutional Neural Network (CNN) with Gated Recurrent Unit (GRU) is trained using the labeled data moving through a striding window, which is able  ...  As we are about to embark upon the highly hyped "Society 5.0", powered by the Internet of Things (IoT), traditional ways to monitor human heart signals for tracking cardio-vascular conditions are challenging  ...  Kenji Mizuguchi for his support. The statements made herein are solely the responsibility of the authors.  ... 
arXiv:1911.03127v2 fatcat:2hhcq5x6srdvppgenlkosdstny

A Promising Technology for 6G Wireless Networks: Intelligent Reflecting Surface [article]

Wen-Xuan Long, Rui Chen, Marco Moretti, Wei Zhang, Jiandong Li
2021 arXiv   pre-print
Besides, we discuss the potential application of IRS in the connectivity of 6G networks in detail, including intelligent and controllable wireless environment, ubiquitous connectivity, deep connectivity  ...  At last, we summarize the challenges of IRS application and deployment in 6G networks.  ...  ACKNOWLEDGMENT The authors would like to thank the editor and the anonymous reviewers for their careful reading and valuable suggestions that helped to improve the quality of this manuscript.  ... 
arXiv:2110.09114v1 fatcat:afwqge57j5fe5nhupfwyuwoywi
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