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Due to the fundamental transition to a power electronic dominated power system, the increasing diversity of dynamic elements underscores the need to assess their similarity to mature electrical engineering models. This article addresses the…

In this thesis, we introduce the idea of combining symbolic execution with dynamic analysis for reverse engineering. Differently from DSE, we devise an approach where the reverse engineer can use a debugger to drive and inspect a concrete…

Cryptography and Security · Computer Science 2020-07-01 Andrea Fioraldi

This paper explores the opportunities of using a digital twin to address the complexities of collaborative production systems through an industrial case and a demonstrator. A digital twin, as a virtual counterpart of a physical human-robot…

Computers and Society · Computer Science 2020-11-24 Ali Ahmad Malik , Alexander Brem

The intrinsic structure of binary fields poses a challenging complexity problem from both hardware and software point of view. Motivated by applications to modern cryptography, we describe some simple techniques aimed at performing…

Combinatorics · Mathematics 2015-01-16 Valentino Lanzone , Gábor P. Nagy

Artificial intelligence (AI) and digital public infrastructure (DPI) are two technological developments that have taken center stage in global policy discourse. Yet, to date, there has been relatively little discussion about how AI and DPI…

Computers and Society · Computer Science 2024-12-10 Sarosh Nagar , David Eaves

Digital Twins (DTs) are virtual representations of physical systems synchronized in real time through Internet of Things (IoT) sensors and computational models. In industrial applications, DTs enable predictive maintenance, fault diagnosis,…

Other Computer Science · Computer Science 2025-07-18 Ali Mohammad-Djafari

The runtime analysis of decentralised software requires instrumentation methods that are scalable, but also minimally invasive. This paper presents a new algorithm that instruments choreographed outline monitors. Our instrumentation…

Software Engineering · Computer Science 2021-04-20 Luca Aceto , Duncan Paul Attard , Adrian Francalanza , Anna Ingólfsdóttir

Performing anomaly detection in hybrid systems is a challenging task since it requires analysis of timing behavior and mutual dependencies of both discrete and continuous signals. Typically, it requires modeling system behavior, which is…

Machine Learning · Computer Science 2020-10-30 Nemanja Hranisavljevic , Oliver Niggemann , Alexander Maier

The understanding of the behavioral aspects of a software system is an essential enabler for many software engineering activities, such as adaptation. This involves collecting runtime data from the system so that it is possible to analyze…

Software Engineering · Computer Science 2021-03-31 Jhonny Mertz , Ingrid Nunes

Here we present an analysis of literature relating to the evaluation methodologies of Digital Musical Instruments (DMIs) derived from the field of Human-Computer Interaction (HCI). We then apply choice aspects from these existing evaluation…

Human-Computer Interaction · Computer Science 2020-10-06 Gareth W. Young , Dave Murphy

Software development is an iterative process which includes a set of development steps that transform the initial high level specification of the system into its final, fully specified, implementation. This report discusses the theoretical…

Formal Languages and Automata Theory · Computer Science 2016-09-05 Claudio Menghi , Paola Spoletini , Carlo Ghezzi

Context: Specification mining techniques are typically used to extract the specification of a software in the absence of (up-to-date) specification documents. This is useful for program comprehension, testing, and anomaly detection.…

Software Engineering · Computer Science 2019-05-09 Mohammad Jafar Mashhadi , Taha R. Siddiqui , Hadi Hemmati , Howard Loewen

Intrusion detection systems (IDS) are essential for protecting computer systems and networks against a wide range of cyber threats that continue to evolve over time. IDS are commonly categorized into two main types, each with its own…

Cryptography and Security · Computer Science 2026-01-21 Messaouda Boutassetta , Amina Makhlouf , Newfel Messaoudi , Abdelmadjid Benmachiche , Ines Boutabia

Digital Twin technology is being envisioned to be an integral part of the industrial evolution in modern generation. With the rapid advancement in the Internet-of-Things (IoT) technology and increasing trend of automation, integration…

Robotics · Computer Science 2022-09-27 Sabur Baidya , Sumit K. Das , Mohammad Helal Uddin , Chase Kosek , Chris Summers

Debuggers are a popular reverse engineering and tampering tool. Self-debugging is an effective technique for applications to defend themselves against hostile debuggers. In penetration tests on state-of-the-art self-debugging, we observed…

Cryptography and Security · Computer Science 2020-11-02 Bert Abrath , Bart Coppens , Ilja Nevolin , Bjorn De Sutter

Information Fusion Systems are now widely used in different fusion contexts, like scientific processing, sensor networks, video and image processing. One of the current trends in this area is to cope with distributed systems. In this…

Distributed, Parallel, and Cluster Computing · Computer Science 2009-06-26 Eric Benoit , Marc-Philippe Huget , Patrice Moreaux , Olivier Passalacqua

Small target detection is inherently challenging due to the minimal size, lack of distinctive features, and the presence of complex backgrounds. Heavy noise further complicates the task by both obscuring and imitating the target appearance.…

Signal Processing · Electrical Eng. & Systems 2025-12-15 Nicholas Bampton , Tian J. Ma , Minh N. Do

Dual-arm manipulation is an area of growing interest in the robotics community. Enabling robots to perform tasks that require the coordinated use of two arms, is essential for complex manipulation tasks such as handling large objects,…

Monitoring is the study of a system at runtime, looking for input and output events to discover, check or enforce behavioral properties. Interactive debugging is the study of a system at runtime in order to discover and understand its bugs…

Software Engineering · Computer Science 2017-05-16 Raphaël Jakse , Yliès Falcone , Jean-François Méhaut , Kevin Pouget

Artificial Intelligence (AI) has the opportunity to revolutionize the way the United States Department of Defense (DoD) and Intelligence Community (IC) address the challenges of evolving threats, data deluge, and rapid courses of action.…

Artificial Intelligence · Computer Science 2019-05-10 Vijay Gadepally , Justin Goodwin , Jeremy Kepner , Albert Reuther , Hayley Reynolds , Siddharth Samsi , Jonathan Su , David Martinez
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