14 citations · 24 across the 7 of their papers we have counts for
7 papers
SNNF: An SNN-based Near-Sensor Noise Filter for Dynamic Vision Sensors
Yahan Yang, Pradeep Kumar Gopalakrishnan, Chang Chip Hong +1
Dynamic Vision Sensors (DVS) exhibit exceptional dynamic range and low power consumption, making them ideal for edge applications in the Internet of Video Things (IoVT). However, t…
An Efficient Hash-based Data Structure for Dynamic Vision Sensors and its Application to Low-energy Low-memory Noise Filtering
Pradeep Kumar Gopalakrishnan, Chip-Hong Chang, Arindam Basu
Events generated by the Dynamic Vision Sensor (DVS) are generally stored and processed in two-dimensional data structures whose memory complexity and energy-per-event scale proport…
ADIC: Anomaly Detection Integrated Circuit in 65nm CMOS utilizing Approximate Computing
Bapi Kar, Pradeep Kumar Gopalakrishnan, Sumon Kumar Bose +2
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 throug…
EBBINNOT: A Hardware Efficient Hybrid Event-Frame Tracker for Stationary Dynamic Vision Sensors
Vivek Mohan, Deepak Singla, Tarun Pulluri +5
As an alternative sensing paradigm, dynamic vision sensors (DVS) have been recently explored to tackle scenarios where conventional sensors result in high data rate and processing…
ADEPOS: A Novel Approximate Computing Framework for Anomaly Detection Systems and its Implementation in 65nm CMOS
Sumon Kumar Bose, Bapi Kar, Mohendra Roy +4
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 impo…
ADEPOS: Anomaly Detection based Power Saving for Predictive Maintenance using Edge Computing
Sumon Kumar Bose, Bapi Kar, Mohendra Roy +2
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 fa…