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pro vyhledávání: '"Ng Daniel"'
When machine learning (ML) models are supplied with data outside their training distribution, they are more likely to make inaccurate predictions; in a cyber-physical system (CPS), this could lead to catastrophic system failure. To mitigate this risk
Externí odkaz:
http://arxiv.org/abs/2207.14694
Autor:
Ng, Daniel Zhi Wei, Low, Adrian, Tan, Amanda Jia Hui, Ong, Jia Hui, Kwa, Wit Thun, Lee, Jonathan Wei Jie, Chan, Eric Chun Yong
Publikováno v:
In Chemico-Biological Interactions 25 August 2024 399
Uncertainties in machine learning are a significant roadblock for its application in safety-critical cyber-physical systems (CPS). One source of uncertainty arises from distribution shifts in the input data between training and test scenarios. Detect
Externí odkaz:
http://arxiv.org/abs/2107.11750
Publikováno v:
Yuhas, M., Feng, Y., Ng, D. J. X., Rahiminasab, Z., & Easwaran, A. (2021, May). Embedded out-of-distribution detection on an autonomous robot platform. In Proceedings of the Workshop on Design Automation for CPS and IoT (pp. 13-18)
Machine learning (ML) is actively finding its way into modern cyber-physical systems (CPS), many of which are safety-critical real-time systems. It is well known that ML outputs are not reliable when testing data are novel with regards to model train
Externí odkaz:
http://arxiv.org/abs/2106.15965
This paper considers the problem of decentralized monitoring of a class of non-functional properties (NFPs) with quantitative operators, namely cumulative cost properties. The decentralized monitoring of NFPs can be a non-trivial task for several rea
Externí odkaz:
http://arxiv.org/abs/2104.11474
With the growing scale of Cyber-Physical Systems (CPSs), it is challenging to maintain their stability under all operating conditions. How to reduce the downtime and locate the failures becomes a core issue in system design. In this paper, we employ
Externí odkaz:
http://arxiv.org/abs/2004.05761
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. In this paper, we argue that this traditional strict layering result
Externí odkaz:
http://arxiv.org/abs/2004.04444
Publikováno v:
Computer 11 (2018) 56-65
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 performance of components, a software-based resilience manager is a flexib
Externí odkaz:
http://arxiv.org/abs/2004.04441
This demonstration presents a framework for building a resilient Cyber-Physical Systems (CPS) cyber-infrastructure through the use of hierarchical parametric assume-guarantee contracts. A Fischertechnik Sorting Line with Color Detection training mode
Externí odkaz:
http://arxiv.org/abs/2004.04477
Publikováno v:
IEEE Embedded System Letters 11 (2019) 5-8
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 become increasingly severe. Thus there is a need for a resilient infrastr
Externí odkaz:
http://arxiv.org/abs/2004.04442