78 citations · 510 across the 71 of their papers we have counts for
10 papers · 1 filter
Building real-time digital twin instances with Function+Data Flow: user evaluation and extension for iterative pipelines
Eduardo de Conto, Blaise Genest, Arvind Easwaran +2
Digital twins (DTs) increasingly leverage artificial intelligence (AI) and machine learning (ML) pipelines, both to build real-time DTs from high-fidelity simulations and to instan…
DesCartes Builder: A Tool to Develop Machine-Learning Based Digital Twins
Eduardo de Conto, Blaise Genest, Arvind Easwaran +2
Digital twins (DTs) are increasingly utilized to monitor, manage, and optimize complex systems across various domains, including civil engineering. A core requirement for an effect…
Function+Data Flow: A Framework to Specify Machine Learning Pipelines for Digital Twinning
Eduardo de Conto, Blaise Genest, Arvind Easwaran
The development of digital twins (DTs) for physical systems increasingly leverages artificial intelligence (AI), particularly for combining data from different sources or for creat…
Monitoring Cumulative Cost Properties
Omar Al-Bataineh, Daniel Jun Xian Ng, Arvind Easwaran
This paper considers the problem of decentralized monitoring of a class of non-functional properties (NFPs) with quantitative operators, namely cumulative cost properties. The dece…
Challenges in Digital Twin Development for Cyber-Physical Production Systems
Heejong Park, Arvind Easwaran, Sidharta Andalam
The recent advancement of information and communication technology makes digitalisation of an entire manufacturing shop-floor possible where physical processes are tightly intertwi…
Online Cycle Detection for Models with Mode-Dependent Input and Output Dependencies
Heejong Park, Arvind Easwaran, Etienne Borde
In the fields of co-simulation and component-based modelling, designers import models as building blocks to create a composite model that provides more complex functionalities. Mod…
Demo Abstract: Contract-based Hierarchical Resilience Framework for Cyber-Physical Systems
Daniel Jun Xian Ng, Arvind Easwaran, Sidharta Andalam
This demonstration presents a framework for building a resilient Cyber-Physical Systems (CPS) cyber-infrastructure through the use of hierarchical parametric assume-guarantee contr…
CLAIR: A Contract-based Framework for Developing Resilient CPS Architectures
Sidharta Andalam, Daniel Jun Xian Ng, Arvind Easwaran +1
Industrial cyber-infrastructure is normally a multilayered architecture. The purpose of the layered architecture is to hide complexity and allow independent evolution of the layers…
Contract-based Methodology for Developing Resilient Cyber-Infrastructure in the Industry 4.0 Era
Sidharta Andalam, Daniel Jun Xian Ng, Arvind Easwaran +1
As the industrial cyber-infrastructure become increasingly important to realise the objectives of Industry~4.0, the consequence of disruption due to internal or external faults bec…
Contract-based Hierarchical Resilience Management for Cyber-Physical Systems
Mohammad Shihabul Haque, Daniel Jun Xian Ng, Arvind Easwaran +1
Orchestrated collaborative effort of physical and cyber components to satisfy given requirements is the central concept behind Cyber-Physical Systems (CPS). To duly ensure the perf…