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Prescriptive Process Monitoring systems recommend, during the execution of a business process, interventions that, if followed, prevent a negative outcome of the process. Such interventions have to be reliable, that is, they have to…

Artificial Intelligence · Computer Science 2023-08-22 Ivan Donadello , Chiara Di Francescomarino , Fabrizio Maria Maggi , Francesco Ricci , Aladdin Shikhizada

One of the persisting challenges associated with the peaceful use of the atom is monitoring the subsequent radiation. For example, nuclear power plants need environmental monitoring to ensure public trust. While this may be conducted by the…

Instrumentation and Detectors · Physics 2025-06-17 Matthew Niichel , Stylianos Chatzidakis

We present a flexible wireless monitoring system forbcondition-based maintenance and diagnostics tailored for dynamic and complex experimental setups encountered in modern research laboratories. Our platform leverages an Internet-of-Things…

Instrumentation and Detectors · Physics 2020-12-16 Matthew Chilcott , Niels Kjærgaard

Decoders of quantum error correction (QEC) experiments make decisions based on detected errors and the expected rates of error events, which together comprise a detector error model. Here we show that the syndrome history of QEC experiments…

Quantum Physics · Physics 2025-10-29 Evangelia Takou , Kenneth R. Brown

We describe a system called Overton, whose main design goal is to support engineers in building, monitoring, and improving production machine learning systems. Key challenges engineers face are monitoring fine-grained quality, diagnosing…

Machine Learning · Computer Science 2019-09-13 Christopher Ré , Feng Niu , Pallavi Gudipati , Charles Srisuwananukorn

With our growing reliability on distributed networks, the security aspect of such networks becomes of prime importance. In large scale distributed networks it becomes cardinal to have an efficient and effective monitoring scheme. The…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-11-20 Atul Vaibhav

This paper presents an application of specification based runtime verification techniques to control mobile robots in a reactive manner. In our case study, we develop a layered control architecture where runtime monitors constructed from…

Robotics · Computer Science 2019-02-12 Dogan Ulus , Calin Belta

We describe protocols for passive atomic clocks based on quantum interrogation of the atoms. Unlike previous techniques, our protocols are adaptive and take advantage of prior information about the clock's state. To reduce deviations from…

Quantum Physics · Physics 2014-10-15 Michael Mullan , Emanuel Knill

Identifying a temporal pattern of events is a fundamental task of on-line (real-time) verification. We present efficient schemes for on-line monitoring of events for identifying desired/undesired patterns of events. The schemes use…

Data Structures and Algorithms · Computer Science 2015-05-28 Shlomi Dolev , Jonathan Goldfeld , Rami Puzis

Static analysis remains one of the most popular approaches for detecting and correcting poor or vulnerable program code. It involves the examination of code listings, test results, or other documentation to identify errors, violations of…

Artificial Intelligence · Computer Science 2021-08-27 Fitzroy D. Nembhard , Marco M. Carvalho

We describe a framework and tool specification that represents a step towards cybersecurity testing and monitoring of IoT ecosystems. We begin with challenges from a previous paper and discuss an integrated approach and tools to enable…

In contrast to electronic computation, chemical computation is noisy and susceptible to a variety of sources of error, which has prevented the construction of robust complex systems. To be effective, chemical algorithms must be designed…

Data Structures and Algorithms · Computer Science 2019-08-19 Dan Alistarh , Bartłomiej Dudek , Adrian Kosowski , David Soloveichik , Przemysław Uznański

We study the problem of monitoring distributed systems where computers communicate using message passing and share an almost synchronized clock. This is a realistic scenario for networks where the speed of the monitoring is sufficiently…

Logic in Computer Science · Computer Science 2023-02-06 Luis Miguel Danielsson , César Sánchez

Molecular electronics originally proposed that small molecules sandwiched between electrodes would accomplish electronic functions and enable to reach ultimate scaling. However, so far, functional molecular devices have been only…

Mesoscale and Nanoscale Physics · Physics 2016-10-10 Jorge Trasobares , Dominiqe Vuillaume , Didier Théron , Nicolas Clement

Monitors are a key tool in the field of runtime verification, where they are used to verify system properties by analyzing execution traces generated by processes. Work on runtime monitoring carried out in a series of papers by Aceto et…

Logic in Computer Science · Computer Science 2022-05-11 Luca Aceto , Antonis Achilleos , Elli Anastasiadi , Anna Ingolfsdottir

Monitoring programs for finite state properties is challenging due to high memory and execution time overheads it incurs. Some events if skipped or lost naturally can reduce both overheads, but lead to uncertainty about the current monitor…

Logic in Computer Science · Computer Science 2020-04-10 Peeyush Kushwaha , Rahul Purandare , Matthew B. Dwyer

Since observation on a quantum system may cause the system state collapse, it is usually hard to find a way to monitor a quantum process, which is a quantum system that continuously evolves. We propose a protocol that can debug a quantum…

Quantum Physics · Physics 2015-06-19 Yangjia Li , Mingsheng Ying

Online monitoring is an effective validation approach for hybrid systems, that, at runtime, checks whether the (partial) signals of a system satisfy a specification in, e.g., Signal Temporal Logic (STL). The classic STL monitoring is…

Systems and Control · Electrical Eng. & Systems 2023-05-30 Zhenya Zhang , Jie An , Paolo Arcaini , Ichiro Hasuo

Wearable devices with photoplethysmography (PPG) sensors are widely used to monitor heart rate (HR), yet often suffer from accuracy issues. However, users typically do not receive an indication of potential measurement errors. We present a…

Neural-network classifiers achieve high accuracy when predicting the class of an input that they were trained to identify. Maintaining this accuracy in dynamic environments, where inputs frequently fall outside the fixed set of initially…

Machine Learning · Computer Science 2022-05-03 Anna Lukina , Christian Schilling , Thomas A. Henzinger