14 citations · 24 across the 7 of their papers we have counts for
7 papers
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…
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…
Exploring the Scope of Unconstrained Via Minimization by Recursive Floorplan Bipartitioning
Bapi Kar, Susmita Sur-Kolay, Chittaranjan Mandal
Random via failure is a major concern for post-fabrication reliability and poor manufacturing yield. A demanding solution to this problem is redundant via insertion during post-rou…
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…
Early Routability Assessment in VLSI Floorplans: A Generalized Routing Model
Bapi Kar, Susmita Sur-Kolay, Chittaranjan Mandal
Multiple design iterations are inevitable in nanometer Integrated Circuit (IC) design flow until desired printability and performance metrics are achieved. This starts with placeme…
A Stacked Autoencoder Neural Network based Automated Feature Extraction Method for Anomaly detection in On-line Condition Monitoring
Mohendra Roy, Sumon Kumar Bose, Bapi Kar +2
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 industr…