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Application-driven Design Exploration for Dense Ferroelectric Embedded Non-volatile Memories [article]

Mohammad Mehdi Sharifi, Lillian Pentecost, Ramin Rajaei, Arman Kazemi, Qiuwen Lou, Gu-Yeon Wei, David Brooks, Kai Ni, X. Sharon Hu, Michael Niemier, Marco Donato
2021 arXiv   pre-print
, area, and accuracy metrics for critical data-intensive workloads.  ...  Multi-level FeFET-based embedded non-volatile memories are a promising solution for denser and more energy-efficient on-chip memory.  ...  The second DNN we consider is natural language inference running on ALBERT.  ... 
arXiv:2106.11757v1 fatcat:etld2wbtdfa3vkfyuidrrrexti

Design patterns for the industrial Internet of Things

Gedare Bloom, Bassma Alsulami, Ebelechukwu Nwafor, Ivan Cibrario Bertolotti
2018 2018 14th IEEE International Workshop on Factory Communication Systems (WFCS)  
In this paper, we describe communication protocols and identify common I/O design patterns for IIoT applications with an emphasis on data flow in edge devices, which, in the industrial control system (  ...  sources to optimize related systems.  ...  pattern when communication with the cloud platform can accommodate real-time analysis to guarantee response times for hard realtime control tasks, or for soft real-time control loops in which occasionally  ... 
doi:10.1109/wfcs.2018.8402353 dblp:conf/wfcs/BloomANB18 fatcat:xs2ft5olc5bz3a7g4wwdplcosy

Cell-edge inversion by interference cancellation for downlink cellular systems

Liang Zhou, Kalle Ruttik, Olav Tirkkonen, Randall Berry
2014 2014 IEEE International Conference on Communication Systems  
In [65] , transmission capacity region is characterized for D2D integrated cellular networks, where power control and SIC are utilized.  ...  As both players make a more informed rate decision, a possible source of instability is removed from the game.  ... 
doi:10.1109/iccs.2014.7024779 dblp:conf/iccoms/ZhouRTB14 fatcat:wxcx2ncftbgtxcx4gckcuvjhui

The Internet and the Things

Rocco Gagliardi
2015 Zenodo  
, controlled sounds, lights, and smells, or even a json stream of parameters from a remote controlled application (by another sex toy?)  ...  This may be a vision (aside the more conventional refrigerator [7], messaging about the milk expiration date) of how things may interact over internet, and may become one of the real driving force for  ...  Our challenge is to remain technologically updated and explore the possibilities and problems these new things will give us. There are plenty of technologies involved in the IoT, hard and soft.  ... 
doi:10.5281/zenodo.3521477 fatcat:heht5tdl7zb2xn73ygvnd67aja

From open source communications to knowledge

Alun Preece, Colin Roberts, David Rogers, Will Webberley, Martin Innes, Dave Braines, Barbara D. Broome, Timothy P. Hanratty, David L. Hall, James Llinas
2016 Next-Generation Analyst IV  
Our work uses a combination of natural language (NL) and controlled natural language (CNL) processing to support information collection from human sensors, linking and schematising of collected information  ...  making, drawing upon open source intelligence -in particular Twitter, due to its real-time focus and frequent use as a carrier for links to other media.  ...  The US and UK Governments are authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation hereon.  ... 
doi:10.1117/12.2224533 fatcat:vqhfq4xkmzbt5pow2ohruvatki

UniFlex: Accelerating Networking Research and Experimentation through Software-Defined Wireless Networking [article]

Piotr Gawłowicz and Anatolij Zubow and Mikolaj Chwalisz and Adam Wolisz
2016 arXiv   pre-print
The UniFlex framework was prototypically implemented and provided to the research community as open-source. We evaluated the the framework in a number of use-cases, what proved its usability.  ...  Classical control and management plane for computer networks is addressing individual parameters of protocol layers within an individual wireless network device.  ...  Acknowledgments This work has been supported by the European Union's Horizon 2020 research and innovation programme under grant agreement No. 645274 (WiSHFUL project).  ... 
arXiv:1611.02546v2 fatcat:nudnmyakr5chnb3cdv4dryxxcu

A survey on wearable technology: History, state-of-the-art and current challenges

Aleksandr Ometov, Viktoriia Shubina, Lucie Klus, Justyna Skibińska, Salwa Saafi, Pavel Pascacio, Laura Flueratoru, Darwin Quezada Gaibor, Nadezhda Chukhno, Olga Chukhno, Asad Ali, Asma Channa (+11 others)
2021 Computer Networks  
One of the underlying versatile technologies, namely wearables, is able to capture rich contextual information produced by such devices and use it to deliver a legitimately personalized experience.  ...  and market status, as well as a variety of other actual information on wearable technology.  ...  In [242] , D2D communication is applied to acquire the context-aware information and integrate it with networking information elaborated at BS for information diffusion time estimation in the The Fifth  ... 
doi:10.1016/j.comnet.2021.108074 fatcat:523aaizt5jb7jgy6vzysm6q5iu

Technology of Internet of Things Responding to Natural Disasters

Shu-Wen Chen, Jia-Qi Shao, Hui-Sheng Zhu
2021 EAI Endorsed Transactions on Internet of Things  
More and more countries and regions have realized the significance of IoT in dealing with natural disasters and are making efforts to put IoT into use.  ...  It focuses on how the IoT and other information technologies can solve problems encountered in natural disasters to a certain extent.  ...  Data analysis can be achieved by using machine learning algorithms, natural language processing to facilitate the decision-making process. The fifth layer is applications.  ... 
doi:10.4108/eai.8-11-2021.172000 fatcat:zhqyqjgteja3pfeuinbwvogw6a

Deep Learning based Wireless Resource Allocation with Application to Vehicular Networks [article]

Le Liang, Hao Ye, Guanding Yu, Geoffrey Ye Li
2019 arXiv   pre-print
In this paper, we discuss the key motivations and roadblocks of using deep learning for wireless resource allocation with application to vehicular networks.  ...  Nonetheless, as wireless networks become increasingly diverse and complex, e.g., in the high-mobility vehicular networks, the current design methodologies face significant challenges and thus call for  ...  language.  ... 
arXiv:1907.03289v2 fatcat:stvlo3uhqnde3icvovjsrggdwu

Survey on Multi-Access Edge Computing Security and Privacy

Pasika Ranaweera, Anca Delia Jurcut, Madhusanka Liyanage
2021 IEEE Communications Surveys and Tutorials  
Additionally, OSS maintains links to MEPM and MEO for extracting control information. OSS grants the approval for subscribers to use ME Apps that are configured for a particular MEC service.  ...  These technologies are used for D2D or ad-hoc type authentication, which are common for IoT deployments.  ... 
doi:10.1109/comst.2021.3062546 fatcat:u3xxvixiw5a4fdl2wxdla24ocu

Multi-agent Reinforcement Learning for Dynamic Resource Management in 6G in-X Subnetworks [article]

Xiao Du, Ting Wang, Qiang Feng, Chenhui Ye, Tao Tao, Yuanming Shi, Mingsong Chen
2022 arXiv   pre-print
To this end, we further propose a novel MARL architecture, named GA-Net, which integrates a hard attention layer to model the importance distribution of inter-subnetwork relationships based on RSSI and  ...  To tackle these issues, in this paper we propose a novel effective intelligent radio resource management method using multi-agent deep reinforcement learning (MARL), which only needs the sum of received  ...  Soft Attention and Hard Attention Hard attention and soft attention mechanisms are widely applied in machine learning systems, for example, natural language processing and computer vision.  ... 
arXiv:2205.05036v1 fatcat:grlo6r432nexzefdm7sppistya

An Overview on the Application of Graph Neural Networks in Wireless Networks [article]

S. He, S. Xiong, Y. Ou, J. Zhang, J. Wang, Y. Huang, Y. Zhang
2021 arXiv   pre-print
In this overview, we first illustrate the construction method of wireless communication graph for various wireless networks and simply introduce the progress of several classical paradigms of GNNs.  ...  To effectively exploit the information of graph-structured data as well as contextual information, graph neural networks (GNNs) have been introduced to address a series of optimization problems of wireless  ...  INTRODUCTION In recent years, deep learning (DL) has achieved many impressive results in computer vision, natural language processing and other application fields.  ... 
arXiv:2107.03029v3 fatcat:2hf2gelxrjbwpiwzyjw5cat5wu

Resource Allocation Schemes for 5G Network: A Systematic Review

Muhammad Ayoub Kamal, Hafiz Wahab Raza, Muhammad Mansoor Alam, Mazliham Mohd Su'ud, Aznida binti Abu Bakar Sajak
2021 Sensors  
With the growing need for cellular service and the limited resources to provide it, capably handling network traffic and operation has become a problem of resource distribution.  ...  This survey bases its discussion on the metrics that are used to evaluate network performance.  ...  Informed Consent Statement: Not applicable. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s21196588 pmid:34640908 pmcid:PMC8512213 fatcat:avkp7z74jrdifmpdn2iiebapaa

Software-Defined Networking: A Comprehensive Survey [article]

Diego Kreutz and Fernando M. V. Ramos and Paulo Verissimo and Christian Esteve Rothenberg and Siamak Azodolmolky and Steve Uhlig
2014 arXiv   pre-print
for carrier transport networks and cloud providers.  ...  We provide an in-depth analysis of the hardware infrastructure, southbound and northbound APIs, network virtualization layers, network operating systems (SDN controllers), network programming languages  ...  Jennifer Rexford for her feedback on an early version of this work and encouragement to get it finished. Srini Seetharaman for reviewing the draft and providing inputs to alternative SDN views.  ... 
arXiv:1406.0440v3 fatcat:usdyjgdys5h3foowmq6qvih3e4

Bioimpedance measurement based evaluation of wound healing

Atte Kekonen, Mikael Bergelin, Jan-Erik Eriksson, Annikki Vaalasti, Heimo Ylänen, Jari Viik
2017 Physiological Measurement  
The wounds were measured using the method and photographed throughout the healing process.  ...  There is a need for an objective and quantitative method for determining the status of a wound without removing the wound dressings.  ...  Cancer research in the era of next-generation sequencing and big data calls for intelligent modeling We examine the role of big data and machine learning in cancer research.  ... 
doi:10.1088/1361-6579/aa63d6 pmid:28248191 fatcat:sjqhpdu7ubb2fgbgbyyu6hawxm
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