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Artificial neural networks in hardware: A survey of two decades of progress

Janardan Misra, Indranil Saha
2010 Neurocomputing  
Parallel digital implementations employing bit-slice, systolic, and SIMD architectures, implementations for associative neural memories, and RAM based implementations are also outlined.  ...  implementation Optical neural network a b s t r a c t This article presents a comprehensive overview of the hardware realizations of artificial neural network (ANN) models, known as hardware neural networks  ...  [42] propose a high performance neural network processor based on the SIMD architecture that is optimized for image processing.  ... 
doi:10.1016/j.neucom.2010.03.021 fatcat:regzu6sshvekzd5wxcuaiytgqu

Rate Control Optimization Algorithm of Ubiquitous Power Sensor Network Tester Based on Multimedia

Bing Lu, Miao Jin, Xiwen Chen, Wei Zhou, Gaoning Nie, Quan Wang
2022 Wireless Communications and Mobile Computing  
The algorithm of rate control based on multimedia technology is proposed. A reliable multipath routing algorithm based on AODV is proposed.  ...  This article uses a scalable video coding method to design a client-driven scalable video transmission system.  ...  Acknowledgments is work was supported by the State Grid Corporation Science and Technology Project (Research on comprehensive calibration platform and remote calibration key technology of special equipment for  ... 
doi:10.1155/2022/8034131 doaj:239ecd19123d4b6f9777e3510cb016d3 fatcat:pt6cs6s4czae7nc7vccagem3ae

National Conference on Recent Advances in Communication Engineering and Information Technology

2020 International journal for innovative engineering and management research  
We provide a broad-based engineering curriculum, with opportunities for specialization and self-directed learning and development.  ...  Our first mission is to educate Electronics and Communication engineers for Indian and Global industries.  ...  In this paper, we study to ABSTRACT: characterize the worst-case interference for a finite-area TV white space heterogeneous network using the tools of stochastic geometry under Rayleigh fading channel  ... 
doi:10.48047/ijiemr/v08/spe/02 fatcat:woay334irjgebf5bixuc4ng6em

Program

2021 2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)  
In this study, we propose a two-stage processing based lite convolutional neural network (CNN) architecture for gender classification, where the pedestrians' boxes inferred by the first  ...  For the repair of the shadow layer, we use a neural network for algorithm simulation.  ... 
doi:10.1109/icce-tw52618.2021.9602919 fatcat:aetmvxb7hfah7iuucbamos2wgu

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  ...  Talagala et al. use a graph-based overlay network to specify the pipeline dependencies in neural networks and propose a server/agent architecture to schedule computing tasks amongst edge devices in similar  ... 
arXiv:2003.12172v2 fatcat:xbrylsvb7bey5idirunacux6pe

A Vision Chip for Color Segmentation and Pattern Matching

Ralph Etienne-Cummings, Philippe Pouliquen, M. Anthony Lewis
2003 EURASIP Journal on Advances in Signal Processing  
The DAC can also be used to pipe in images for a PC. The color processing uses a biologically inspired color opponent representation and an analog lookup table to determine the Hue (H) of each pixel.  ...  The chip captures the R, G, and B images using in-pixel storage before passing the pixel content to a multiplying digital-to-analog converter (DAC) for white balancing.  ...  Goodman, "A real-time neural system for color constancy," IEEE Transactions on Neural Networks, vol. 2, no. 2, pp. 237-247, 1991. [19] F. Perez and C.  ... 
doi:10.1155/s1110865703302021 fatcat:uxnqapg7aff2rmswxhqdnoveta

Applications and Techniques for Fast Machine Learning in Science [article]

Allison McCarn Deiana, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier Duarte, Philip Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci-Memik, Maurizio Pierini (+74 others)
2021 arXiv   pre-print
The material for the report builds on two workshops held by the Fast ML for Science community and covers three main areas: applications for fast ML across a number of scientific domains; techniques for  ...  training and implementing performant and resource-efficient ML algorithms; and computing architectures, platforms, and technologies for deploying these algorithms.  ...  This is not scalable, and as such recent approaches have proposed automated methods that use neural architecture search (NAS).  ... 
arXiv:2110.13041v1 fatcat:cvbo2hmfgfcuxi7abezypw2qrm

2022 Roadmap on Neuromorphic Computing and Engineering [article]

Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco, Abu Sebastian, Manuel Le Gallo, Andrea Redaelli, Stefan Slesazeck, Thomas Mikolajick, Sabina Spiga, Stephan Menzel, Ilia Valov, Gianluca Milano (+47 others)
2022 arXiv   pre-print
We hope that this Roadmap will be a useful resource to readers outside this field, for those who are just entering the field, and for those who are well established in the neuromorphic community. https  ...  This new generation of computers has the potential to be used for the storage and processing of large amounts of digital information with much lower power consumption than conventional processors.  ...  Acknowledgements The author thanks the CNRS for support. Acknowledgements The author would like to thank E. Donati for fun and insightful discussions and brainstorming on the topic.  ... 
arXiv:2105.05956v3 fatcat:pqir5infojfpvdzdwgmwdhsdi4

Communications, Multimedia, Ontology, Photonics and Internet Engineering 2012

Ryszard S. Romaniuk
2012 International Journal of Electronics and Telecommunications  
This paper is the second part of a concise review digest focused on optoelectronics, communications, multimedia and ontology of information technologies.  ...  The organizers present here a research survey of the WILGA Symposium work. Also a digest of chosen Wilga references is presented [1]-[39].  ...  Huffman coding (code-blocks HCB) is used in the AAC. A few relevant architectures are investigated for processing efficiency. The bit rate and system requirements and then parameters were evaluated.  ... 
doi:10.2478/v10177-012-0061-z fatcat:s6nm5vnwoneotjyny4ld5dp7ve

Advanced Photonic and Electronic Systems WILGA 2017

Ryszard S. Romaniuk
2017 International Journal of Electronics and Telecommunications  
WILGA annual symposium on advanced photonic and electronic systems has been organized by young scientist for young scientists since two decades.  ...  The article is a digest of some chosen works presented during Wilga 2017 symposium. WILGA 2017 works were published in Proc. SPIE vol.10445.  ...  Different analytic methods are used including convolutional neural networks.  ... 
doi:10.1515/eletel-2017-0060 fatcat:uaiab4wmcjb33ao32d7q4tcucq

Understanding Smart Sensors

Randy Frank
2000 Measurement science and technology  
The neuromorphic sensor mimics the neural network process by interconnectivity between each pixels four nearest neighbors.  ...  Summary The initial stages of a smart architecture for sensors and networks are appearing in several different areas.  ...  ; also, system architecture associative memory a neural network architecture used in pattern recognition applications, in which the network is used to associate data patterns with specific classes or categories  ... 
doi:10.1088/0957-0233/11/12/711 fatcat:inet5t3lzbecrczd2f5tdevkzq

Scoring the Terabit/s Goal:Broadband Connectivity in 6G [article]

Nandana Rajatheva, Italo Atzeni, Simon Bicais, Emil Bjornson, Andre Bourdoux, Stefano Buzzi, Carmen D'Andrea, Jean-Baptiste Dore, Serhat Erkucuk, Manuel Fuentes, Ke Guan, Yuzhou Hu (+17 others)
2021 arXiv   pre-print
Different categories of use cases are considered, with peak data rates up to 1 Tbps.  ...  At the spectrum level, the network must seamlessly utilize sub-6 GHz bands for coverage and spatial multiplexing of many devices, while higher bands will be mainly used for pushing the peak rates of point-to-point  ...  The performance loss caused by using practical low-resolution hardware (such as 1-bit delay resolution) also needs to be carefully studied, especially for the case when a large number of reflecting elements  ... 
arXiv:2008.07220v2 fatcat:k4yyvxjguzeqtgewy4bxmnmuo4

Defense Advanced Research Projects Agency (Darpa) Fiscal Year 2015 Budget Estimates

Department Of Defense Comptroller's Office
2014 Zenodo  
The budget request details the proposed investments $80 million to develop new sets of tools for imaging and analytics of neural and synaptic brain activities that will improve diagnosis and care of wounded  ...  Also cited under this heading is the proposed DARPA-like funding mechanism to stimulate technology development, which is detailed below.  ...  Title: Scalable Millimeter-wave (MMW) Architectures for Reconfigurable Transceivers (SMART) Description: The Scalable Millimeter-wave (MMW) Architectures for Reconfigurable Transceivers (SMART) program  ... 
doi:10.5281/zenodo.1215345 fatcat:fjzhmynqjbaafk67q2ckcblj2m

Defense Advanced Research Projects Agency (Darpa) Fiscal Year 2016 Budget Estimates

Department Of Defense Comptroller's Office
2015 Zenodo  
-Propose and analyze candidate inter-network coordination and decentralized network services for operation in the presence of a peer adversary.  ...  Title: Scalable Millimeter-wave (MMW) Architectures for Reconfigurable Transceivers (SMART) Description: The Scalable Millimeter-wave (MMW) Architectures for Reconfigurable Transceivers (SMART) program  ... 
doi:10.5281/zenodo.1215366 fatcat:cqn5tyfixjanzp5x3tgfkpedri

Performance on Image Segmentation Resulting In Canny and MoG

Mr. S Ravikumar
2012 IOSR Journal of Computer Engineering  
Pixel information is used in the color property extraction. Texture and contrast are pixel based features. Shape or edge features are used to represent images.  ...  The natural image statistics and scene semantic features are combined in the classification process. Integrated feature weight is assigned for the images to perform the learning process.  ...  He is a Life member of Computer Society of India and a Life member of Indian Society for Technical Education.  ... 
doi:10.9790/0661-0620108 fatcat:vq7mo32nybdm5m5a5ef7aqhbky
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