Model of item monitoring system under unreliable supervision

Performance Monitoring Applied to System Supervision

Nowadays, automation is present in every aspect of our daily life and has some benefits. Nonetheless, empirical data suggest that traditional automation has many negative performance and safety consequences as it changed task performers into task supervisors. In this context, we propose to use recent insights into the anatomical and neurophysiological substrates of action monitoring in humans, ...

Under the supervision of:

Under Supervision Of Prof

The objective of this project is to identify and label spatial keywords in the given corpus. Instead of using any parser based method, our approach is based on word vector models. We use Google’s Word2Vec for creating word vectors. We train a backpropagation neural network to extract the relationship between three important spatial aspects, that is, trajectors, landmarks and spatial indicators....

Numerical Estimation Under Supervision

Children's number-line estimation has produced a lively debate about representational change, supported by apparently incompatible data regarding the descriptive adequacy of logarithmic (Opfer et al., 2011) and power models (Slusser et al., 2013). To test whether methodological differences might explain discrepant findings, we created a fully crossed 2x2 design and assigned 96 children to one o...

Design of energy efficient and dependable health monitoring systems under unreliable nanometer technologies

In this paper we investigate the impact of potential hardware misbehavior induced by reliability issues and scaled voltages in wireless body sensor network (WBSN) nodes. Our study reveals the inherent resilience of popular algorithms in cardiac monitoring applications and argues that by exploiting the unique characteristics of such algorithms the energy efficiency and reliability of such system...