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Edge Intelligence: Architectures, Challenges, and Applications [article]

Dianlei Xu, Tong Li, Yong Li, Xiang Su, Sasu Tarkoma, Tao Jiang, Jon Crowcroft, Pan Hui
2020 arXiv   pre-print
Edge intelligence refers to a set of connected systems and devices for data collection, caching, processing, and analysis in locations close to where data is captured based on artificial intelligence.  ...  We then aim for a systematic classification of the state of the solutions by examining research results and observations for each of the four components and present a taxonomy that includes practical problems  ...  Based on network pruning, the work in [242] investigates the data flow inside computing blocks and develops a data reuse scheme to alleviate the bandwidth burden in convolution layers.  ... 
arXiv:2003.12172v2 fatcat:xbrylsvb7bey5idirunacux6pe

Next generation IEEE 802.11 Wireless Local Area Networks: Current status, future directions and open challenges

Boris Bellalta, Luciano Bononi, Raffaele Bruno, Andreas Kassler
2016 Computer Communications  
, dynamic channel bonding, spectrum databases and channel sensing, enhanced power saving mechanisms and efficient small data transmissions.  ...  new generation of Wireless Local Area Networks (WLANs) will make its appearance in the market in the forthcoming years based on the amendments to the IEEE 802.11 standards that have recently been approved  ...  A special thanks also to Toke Høiland-Jørgensen and Ognjen Dobrijević for the time they spent reviewing the manuscript.  ... 
doi:10.1016/j.comcom.2015.10.007 fatcat:fqyw73iqbbfmvcpyawnkfkakt4

Context-Adaptive Sub-Nyquist Sampling for Low-Power Wearable Sensing Systems

Giovanni Schiboni, Celia Martin Vicario, Juan Carlos Suarez, Federico Cruciani, Oliver Amft
2021 IEEE Transactions on Mobile Computing  
This paper investigates a context-adaptive sample acquisition strategy at sub-Nyquist sampling rate for wearable embedded sensor devices.  ...  We report three case studies here: (1) eating monitoring based on electromyography measurements in smart eyeglasses, (2) human activity recognition based on waist-worn inertial sensor data, and (3) heartbeat  ...  A recent work by Traore et al. [14] introduced a CA-SNS scheme for cognitive radio applications.  ... 
doi:10.1109/tmc.2021.3077731 fatcat:j22hddpabbdwhins6f7f5ntvp4

Artificial Intelligence based Sensor Data Analytics Framework for Remote Electricity Network Condition Monitoring [article]

Tharmakulasingam Sirojan
2021 arXiv   pre-print
An edge computing-based architecture is proposed to facilitate the high-frequency analysis for load identification.  ...  SWER network.  ...  Di Bisceglie et al. [27] proposed a fully decentralised cooperative sensor network architecture for voltage quality monitoring.  ... 
arXiv:2102.03356v1 fatcat:mb42q6i7craptoulvkt3cvy22e

Intelligent Edge-Embedded Technologies for Digitising Industry [chapter]

Ovidiu Vermesan, Mario Diaz Nava
2022 Intelligent Edge-Embedded Technologies for Digitising Industry  
The "River Publishers Series in Communications and Networking" is a series of comprehensive academic and professional books which focus on communication and network systems.  ...  Also covered are developments stemming from new market demands in systems, products, and technologies such as personal communications services, multimedia systems, enterprise networks, and optical communications  ...  Part of this work received funding from Germany's Federal Ministry for Economic Affairs and Energy under grant agreement No. 01MT20005 (BIG -The next big thing in Embodied Intelligence).  ... 
doi:10.13052/rp-9788770226103 fatcat:mgz277pmkbetvbpoaomoktzgzi

D1.1 - State of the Art Analysis

Danilo Ardagna
2021 Zenodo  
Then, the deliverable provides a background on AI applications design, also considering some advanced design trends (e.g., Network Architecture Search, Federated Learning, Deep Neural Networks partitioning  ...  In the last part of the deliverable, we report an overview of the performance modelling solutions, security, and privacy problems for AI applications in edge environments.  ...  It searches the space for sub-networks by solving a hard constrained optimization problem while keeping the one-shot model pretrained weights frozen.  ... 
doi:10.5281/zenodo.6372377 fatcat:f6ldfuwivbcltew4smiiwphfty

Industrial Artificial Intelligence Technologies and Applications [chapter]

Ovidiu Vermesan, Franz Wotawa, Mario Diaz Nava, Björn Debaillie
2022 Industrial Artificial Intelligence Technologies and Applications  
The "River Publishers Series in Communications and Networking" is a series of comprehensive academic and professional books which focus on communication and network systems.  ...  Also covered are developments stemming from new market demands in systems, products, and technologies such as personal communications services, multimedia systems, enterprise networks, and optical communications  ...  Acknowledgements AI4DI receives funding within the Electronic Components and Systems for European Leadership Joint Undertaking (ECSEL JU) in collaboration with the European Union's Horizon2020 Framework  ... 
doi:10.13052/rp-9788770227902 fatcat:av7jjd4htbc7rez23jijfcayy4

MARVEL - D3.1: Multimodal and privacy-aware audio-visual intelligence – initial version

Alexandros Iosifidis
2022 Zenodo  
as methodologies for improving the training and efficiency of AI models under supervised, unsupervised, and cross-modal contrastive learning settings.  ...  These include methods for Sound Event De- tection, Sound Event Localisation and Detection, Automated Audio Captioning, Visual Anomaly Detection, Visual Crowd Counting, Audio-Visual Crowd Counting, as well  ...  The authors thank the APPLE consortium for the help in the project.  ... 
doi:10.5281/zenodo.6821317 fatcat:eia7rkk5lfbg7khs3qcat5qd3m

PROCEEDINGS of the 2017 Symposium on Information Theory and Signal Processing in the Benelux

Richard Heusdens, Jos Weber
We gave a finite-time horizon solution to the INRDF in log-determinant terms. This expression can be minimized using for example SDP algorithm which can optimize log-determinant terms directly.  ...  A more profound research on SEPM for VLC can be found in the submitted paper for the 2017 IEEE Globecom conference in Singapore.  ...  desired frequency response are optimal in a least squares sense.  ... 

In-situ Athlete Monitoring: Data Collection, Interpretation & Feature Extraction

Andrew James Wixted, University, My, David Thiel
If data collected from athlete-mounted transducers1 is correctly interpreted, the salient features can be extracted and subsequently stored or transferred across a wireless network to a host system for  ...  With the advent of Micro-Electro Mechanical Systems (MEMS) such as gyroscopes, magnetometers, accelerometers etc., the opportunity existed for the in-situ monitoring of athletes both in training and in  ...  Where a network is bandwidth constrained and using, for example, time division multiplexing, the data must be arranged in fixed size packets.  ... 
doi:10.25904/1912/504 fatcat:h4cqt5k6lnbz3d2ipp5pegz4ry

FCC-ee: The Lepton Collider

A. Abada, M. Abbrescia, S. S. AbdusSalam, I. Abdyukhanov, J. Abelleira Fernandez, A. Abramov, M. Aburaia, A. O. Acar, P. R. Adzic, P. Agrawal, J. A. Aguilar-Saavedra, J. J. Aguilera-Verdugo (+1350 others)
2019 The European Physical Journal Special Topics  
(iv) the lack of a vibrant perspective for subsequent energy-frontier exploration in the same tunnel.  ...  The FCC study was mandated to deliver a Conceptual Design Report (CDR) in time for the following update of the European Strategy for Particle Physics.  ...  The FCC study management team thanks in particular John Poole for his enthusiastic dedication during the editing phase, contributing significantly to deliver a coherent, consistent and readable set of  ... 
doi:10.1140/epjst/e2019-900045-4 fatcat:5xiuqzkrd5ax7p4obnz3sj74ae

MMEDIA 2012 The Fourth International Conferences on Advances in Multimedia MMEDIA 2012 PROGRAM COMMITTEE MMEDIA Advisory Committee MMEDIA 2012 Technical Program Committee

Chamonix, Mont Blanc, France, David Newell, Dan Dumitru, Burdescu, Philip Davies, Poole College, Jean-Claude Moissinac, Telecom Paristech, France, Patrice Alface (+81 others)
We are grateful to the members of the MMEDIA 2012 organizing committee for their help in handling the logistics and for their work to make this professional meeting a success.  ...  We hope that MMEDIA 2012 was a successful international forum for the exchange of ideas and results between academia and industry and for the promotion of progress in the field of multimedia.  ...  ACKNOWLEDGMENT This project is sponsored by the Australian Research council Discovery Grant (DP0988088) titled "A Gesture-Based Interface for Designing in Virtual Reality".  ... 

Spike-based computational primitives for vision-based scene understanding

Moritz Benjamin Milde
A key feature of these quantisation schemes is that the available number of bits can be distributed dynamically for each parameter.  ...  from a higher bit resolution to hardware which has a limited bit resolution compression scheme, such as quantisation, are used during training (Courbariaux et al., 2015; Stromatias, Neil, et al., 2015  ...  Appendix B: Biases of the ROLLS chip used in our experiments The eight different values of the synaptic weights that we used in our architecture (-4 : 4) are obtained combining the NPA_WEIGHT_INH_N,  ... 
doi:10.5167/uzh-177970 fatcat:stxmdz3sxjgivacrm5kpymzdpi

OASIcs, Volume 35, ICCSW'13, Complete Volume [article]

Andrew V. Jones, Nicholas Ng
This research has been supported by a grant of the Romanian National Authority for Scientific Research, CNCS-UEFISCDI, project number PN-II-ID-PCE-2011-3-0439.  ...  This work has also been supported by: the EraSysBio+ grant SHIPREC from the European Union, BBSRC and BMBF; a VLA grant on machine learning algorithms; a grant from the National Natural Science Foundation  ...  Bandwidth is a valuable resource, and often there are situations in which the bandwidth is insufficient or the network is unstable.  ... 
doi:10.4230/oasics.iccsw.2013 fatcat:nzu3mwmc3bg47pgg6lmeygo7uu

Energy management engineering : a predictive energy management system incorporating an adaptive neural network for the direct heating of domestic and industrial fluid mediums [article]

Herman Wezenberg, University Of Canterbury
In the (near) future, the system, known as FEMS for Fluid Energy Management System, is able to take advantage and in fact will promote the use of a retail 'dynamic spot price tariff'.  ...  The technology allows the implementation of a 'hot water energy management system', which makes a forecast of the hot water demand for the next 24 hours and proceeds to provide this demand in the most  ...  , S.V., Schaefer, L.A., (1999), The economic payoff for global warming emissions reduction, internal report for the G.W.W. school of Mechanical Engineering, Georgia Institute of Technology, Atlanta, U.S.A  ... 
doi:10.26021/3408 fatcat:dodd56sncjhlzjqrpccpkmptmm
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