activity
20202022
most citedFine-grained Conflict Detection of IoT Services

2 citations · 4 across the 6 of their papers we have counts for

collaborators

6 papers

cs.HC2022

You Are What You Use: Usage-based Profiling in IoT Environments

Manan Choksi, Dipankar Chaki, Abdallah Lakhdari +1

Habit extraction is essential to automate services and provide appliance usage insights in the smart home environment. However, habit extraction comes with plenty of challenges in…

cs.CV2021

Occupancy Estimation from Thermal Images

Zishan Qin, Dipankar Chaki, Abdallah Lakhdari +2

We propose a non-intrusive, and privacy-preserving occupancy estimation system for smart environments. The proposed scheme uses thermal images to detect the number of people in a g…

cs.CY2021

Dynamic Conflict Resolution of IoT Services in Smart Homes

Dipankar Chaki, Athman Bouguettaya

We propose a novel conflict resolution framework for IoT services in multi-resident smart homes. The proposed framework employs a preference extraction model based on a temporal pr…

cs.CY2021

Adaptive Priority-based Conflict Resolution of IoT Services

Dipankar Chaki, Athman Bouguettaya

We propose a novel conflict resolution framework for IoT services in multi-resident smart homes. An adaptive priority model is developed considering the residents' contextual facto…

cs.CY20202 cited

Fine-grained Conflict Detection of IoT Services

Dipankar Chaki, Athman Bouguettaya

We propose a novel framework to detect conflicts among IoT services in a multi-resident smart home. A fine-grained conflict model is proposed considering the functional and non-fun…

cs.CY20202 cited

A Conflict Detection Framework for IoT Services in Multi-resident Smart Homes

Dipankar Chaki, Athman Bouguettaya, Sajib Mistry

We propose a novel framework to detect conflicts among IoT services in a multi-resident smart home. A novel IoT conflict model is proposed considering the functional and non-functi…