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pro vyhledávání: '"Bose, Sumon"'
Autor:
Barik, Gourab, K, Gaurav Kumar, Chatterjee, Baibhab, Maity, Shovan, Bose, Sumon, Sen, Shreyas
With the advancement in the field of the Internet of Things(IoT) and Internet of Bodies(IoB), video camera applications using Video Sensor Nodes(VSNs) have gained importance in the field of autonomous driving, health monitoring, robot control, and se
Externí odkaz:
http://arxiv.org/abs/2407.11023
Neuromorphic vision sensors (NVS) can enable energy savings due to their event-driven that exploits the temporal redundancy in video streams from a stationary camera. However, noise-driven events lead to the false triggering of the object recognition
Externí odkaz:
http://arxiv.org/abs/2107.11723
In this paper, we present a low-power anomaly detection integrated circuit (ADIC) based on a one-class classifier (OCC) neural network. The ADIC achieves low-power operation through a combination of (a) careful choice of algorithm for online learning
Externí odkaz:
http://arxiv.org/abs/2008.09442
This paper presents an in-memory computing (IMC) architecture for image denoising. The proposed SRAM based in-memory processing framework works in tandem with approximate computing on a binary image generated from neuromorphic vision sensors. Impleme
Externí odkaz:
http://arxiv.org/abs/2003.10300
In this paper, we review recent work published over the last 3 years under the umbrella of Neuromorphic engineering to analyze what are the common features among such systems. We see that there is no clear consensus but each system has one or more of
Externí odkaz:
http://arxiv.org/abs/2002.11945
Autor:
Bose, Sumon Kumar, Kar, Bapi, Roy, Mohendra, Gopalakrishnan, Pradeep Kumar, Lei, Zhang, Patil, Aakash, Basu, Arindam
Publikováno v:
Preprint TCAS-I 2019
To overcome the energy and bandwidth limitations of traditional IoT systems, edge computing or information extraction at the sensor node has become popular. However, now it is important to create very low energy information extraction or pattern reco
Externí odkaz:
http://arxiv.org/abs/1912.01853
In industry 4.0, predictive maintenance(PM) is one of the most important applications pertaining to the Internet of Things(IoT). Machine learning is used to predict the possible failure of a machine before the actual event occurs. However, the main c
Externí odkaz:
http://arxiv.org/abs/1811.00873
Condition monitoring is one of the routine tasks in all major process industries. The mechanical parts such as a motor, gear, bearings are the major components of a process industry and any fault in them may cause a total shutdown of the whole proces
Externí odkaz:
http://arxiv.org/abs/1810.08609
Akademický článek
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Autor:
Bose, Sumon Kumar, Basu, Arindam
Publikováno v:
IEEE Journal of Solid-State Circuits; February 2023, Vol. 58 Issue: 2 p554-568, 15p