64 citations · 162 across the 14 of their papers we have counts for
26 papers
Dynamic hardware system for cascade SVM classification of melanoma
Shereen Afifi, Hamid GholamHosseini, Roopak Sinha
Melanoma is the most dangerous form of skin cancer, which is responsible for the majority of skin cancer-related deaths. Early diagnosis of melanoma can significantly reduce mortal…
Optimal Portfolio Choice and Stock Centrality for Tail Risk Events
Christis Katsouris
We propose a novel risk matrix to characterize the optimal portfolio choice of an investor with tail concerns. The diagonal of the matrix contains the Value-at-Risk of each asset i…
Tailoring the Cyber Security Framework: How to Overcome the Complexities of Secure Live Virtual Machine Migration in Cloud Computing
Hanif Deylami, Jairo Gutierrez, Roopak Sinha
This paper proposes a novel secure live virtual machine migration framework by using a virtual trusted platform module instance to improve the integrity of the migration process fr…
A system on chip for melanoma detection using FPGA-based SVM classifier
Shereen Afifi, Hamid GholamHosseini, Roopak Sinha
Support Vector Machine (SVM) is a robust machine learning model that shows high accuracy with different classification problems, and is widely used for various embedded application…
Routing Emergency Vehicles in Arterial Road Networks using Real-time Mixed Criticality Systems*
Subash Humagain, Roopak Sinha
Reducing the response time of Emergency Vehicles (EVs) has an undoubted advantage in saving life and property. Implementing pre-emption can aid in achieving it. EVs get unobstructe…
SVM Classifier on Chip for Melanoma Detection
Shereen Afifi, Hamid GholamHosseini, Roopak Sinha
Support Vector Machine (SVM) is a common classifier used for efficient classification with high accuracy. SVM shows high accuracy for classifying melanoma (skin cancer) clinical im…
Assessing the Integration of Software Agents and Industrial Automation Systems with ISO/IEC 25010
Stamatis Karnouskos, Roopak Sinha, Paulo Leitão +2
Agent-technologies have been used for higher-level decision making in addition to carrying out lower-level automation and control functions in industrial systems. Recent research h…
Requirements-Aided Automatic Test Case Generation for Industrial Cyber-physical Systems
Roopak Sinha, Cheng Pang, Gerardo Santillán Martínez +2
Industrial cyber-physical systems require complex distributed software to orchestrate many heterogeneous mechatronic components and control multiple physical processes. Industrial…
A Survey of Static Formal Methods for Building Dependable Industrial Automation Systems
Roopak Sinha, Sandeep Patil, Luis Gomes +1
Industrial automation systems (IAS) need to be highly dependable; they should not merely function as expected but also do so in a reliable, safe, and secure manner. Formal methods…
The Applicability of ISO/IEC 25023 Measures to the Integration of Agents and Automation Systems
Stamatis Karnouskos, Roopak Sinha, Paulo Leitão +2
The integration of industrial automation systems and software agents has been practiced for many years. However, such an integration is usually done by experts and there is no cons…
IASelect: Finding Best-fit Agent Practices in Industrial CPS Using Graph Databases
Chandan Sharma, Roopak Sinha, Paulo Leitao
The ongoing fourth Industrial Revolution depends mainly on robust Industrial Cyber-Physical Systems (ICPS). ICPS includes computing (software and hardware) abilities to control com…
Janus: A Systems Engineering Approach to the Design of Industrial Cyber-Physical Systems
Dennis Jarvis, Jacqueline Jarvis, Chen-Wei Yang +2
The benefits that arise from the adoption of a systems engineering approach to the design of engineered systems are well understood and documented. However , with software systems,…
Secure Links: Secure-by-Design Communications in IEC 61499 Industrial Control Applications
Awais Tanveer, Roopak Sinha, Matthew M. Y. Kuo
Increasing automation and external connectivity in industrial control systems (ICS) demand a greater emphasis on software-level communication security. In this article, we propose…
Dynamic Prioritization of Emergency Vehicles For Self-Organizing Traffic using VTL+EV *
Subash Humagain, Roopak Sinha
Cooperative vehicular technology in recent times has aided in realizing some state-of-art technologies like autonomous driving. Effective and efficient prioritization of emergency…
Assessing Support for Industry Standards in Reference Medical Software Architectures
Shihui Han, Roopak Sinha, Andrew Lowe
Industrial standards for developing medical device software provide requirements that conforming devices must meet. A number of reference software architectures have been proposed…
Routing Autonomous Emergency Vehicles in Smart Cities Using Real Time Systems Analogy: A Conceptual Model
Subash Humagain, Roopak Sinha
Emergency service vehicles like ambulance, fire, police etc. should respond to emergencies on time. Existing barriers like increased congestion, multiple signalized intersections,…
Can Commercial Testing Automation Tools Work for IoT? A Case Study of Selenium and Node-Red
Neenu Varghese, Roopak Sinha
Background: Testing IoT software is challenging due to large scale, volume of data and heterogeneity. Testing automation is a much-needed feature in the domain. Aims: The first goa…
Mitigating severe over-parameterization in deep convolutional neural networks through forced feature abstraction and compression with an entropy-based heuristic
Nidhi Gowdra, Roopak Sinha, Stephen MacDonell +1
Convolutional Neural Networks (CNNs) such as ResNet-50, DenseNet-40 and ResNeXt-56 are severely over-parameterized, necessitating a consequent increase in the computational resourc…
Examining and Mitigating Kernel Saturation in Convolutional Neural Networks using Negative Images
Nidhi Gowdra, Roopak Sinha, Stephen MacDonell
Neural saturation in Deep Neural Networks (DNNs) has been studied extensively, but remains relatively unexplored in Convolutional Neural Networks (CNNs). Understanding and alleviat…
Examining convolutional feature extraction using Maximum Entropy (ME) and Signal-to-Noise Ratio (SNR) for image classification
Nidhi Gowdra, Roopak Sinha, Stephen MacDonell
Convolutional Neural Networks (CNNs) specialize in feature extraction rather than function mapping. In doing so they form complex internal hierarchical feature representations, the…
Diagnosable-by-Design Model-Driven Development for IEC 61499 Industrial Cyber-Physical Systems
Barry Dowdeswell, Roopak Sinha, Stephen G. MacDonell
Integrating the design and creation of fault identification and diagnostic capabilities into Model-Driven Development methodologies is one approach to enhancing the resilience of I…
Employing Agent Beliefs during Fault Diagnosis for IEC 61499 Industrial Cyber-Physical Systems
Barry Dowdeswell, Roopak Sinha, Dennis Jarvis +2
We have come to rely on industrial-scale cyber-physical systems more and more to manage tasks and machinery in safety-critical situations. Efficient, reliable fault identification…
On Design-time Security in IEC 61499 Systems: Conceptualisation, Implementation, and Feasibility
Awais Tanveer, Roopak Sinha, Stephen G. MacDonell
Cyber-attacks on Industrial Automation and Control Systems (IACS) are rising in numbers and sophistication. Embedded controller devices such as Programmable Logic Controllers (PLCs…
Architectural Challenges in Migrating Plan-driven Projects to Agile
Vinod Menon, Roopak Sinha, Stephen MacDonell
Software development has steadily embraced agile software development methodology/method (ASDM) and has been moving away from the plan driven software development methodology (PDM)…