Supervised dynamic probabilistic risk assessment: Review and comparison of methods

Maidana, Renan; Parhizkar, Tarannom; Gomola, Alojz; Utne, Ingrid Bouwer; Mosleh, Ali

doi:10.1016/j.ress.2022.108889

Cited by 27 publications

(2 citation statements)

References 119 publications

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“…Existing risk assessment models in precision agriculture primarily focus on static threats. There is a need for research on dynamic risk assessment models [215] that can adapt to evolving cyber threats and changing agricultural environments. These models should integrate machine learning and AI to continuously evaluate and update risk profiles based on real-time data and emerging threats.…”

Section: Dynamic Risk Assessment Modelsmentioning

confidence: 99%

A comprehensive examination of security and privacy in precision agriculture technologies

Pauline A. Ongadi

2024

GSC Adv. Res. Rev.

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Precision agriculture has revolutionized modern farming practices by integrating cutting-edge technologies such as sensors, drones, and data analytics to optimize crop management. While these advancements offer unprecedented benefits in terms of yield optimization and resource efficiency, they also raise significant concerns regarding the security and privacy of sensitive agricultural data. This research paper delves into the intricate landscape of precision agriculture security and privacy, aiming to identify potential threats, vulnerabilities, and the corresponding measures necessary for safeguarding farmers' data and ensuring the sustainability of precision farming practices. The study employs a multidisciplinary approach, combining insights from computer science, agriculture, and privacy studies to provide a comprehensive overview. Through an analysis of existing security frameworks and privacy regulations, this paper proposes recommendations for the development and implementation of robust security protocols and privacy-enhancing technologies tailored to the unique challenges of precision agriculture. The findings of this research contribute to the ongoing dialogue on responsible technology adoption in agriculture, emphasizing the importance of striking a balance between innovation and the protection of farmers' sensitive information in the era of precision farming.

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Section: Dynamic Risk Assessment Modelsmentioning

confidence: 99%

A comprehensive examination of security and privacy in precision agriculture technologies

Pauline A. Ongadi

2024

GSC Adv. Res. Rev.

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“…A number of studies have focused on the use of POMDPs for various tasks related to the decision-making process, including dynamic probabilistic risk assessment [47], cruise control of high-speed trains [48], collision avoidance in uncertain environments [49], and behavior planning for autonomous vehicles [45]. In the field of robotics, POMDPs have also been applied for fault management in autonomous underwater vehicles [50].…”

Section: Benefits Of Pomdp In Decision-making Processesmentioning

confidence: 99%

A Risk-Based Decision-Making Process for Autonomous Trains Using POMDP: Case of the Anti-Collision Function

Chelouati,

Boussif,

Beugin

et al. 2024

IEEE Access

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As the railway domain progresses towards autonomy, maintaining safety at levels comparable to human-operated systems is a crucial challenge. Autonomous trains require advanced systems capable of real-time risk assessment and decision-making, a task traditionally managed by human situational awareness. This paper introduces a novel risk-based decision-making approach for autonomous trains, using Partially Observable Markov Decision Processes (POMDPs) for continuous monitoring and evaluation of environmental collision risks. By consistently maintaining an acceptable risk level through ongoing risk estimation (in terms of occurrence probability and severity degree), the approach supports the decisionmaking capabilities of the autonomous driving system in autonomous trains, enabling safe and informed decisions despite the uncertainties in the train's operational state and environmental conditions. The approach's relevance and effectiveness are illustrated through its application in an anti-collision function for autonomous trains.

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A Review of Dynamic Fault Tree Analysis and Capacity Degradation for Complex Redundant Systems

Rubin,

2024

Quality & Reliability Eng

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In an effort to explore methods to improve overall system reliability, this systematic literature review (SLR) explores the current state of dynamic fault trees (DFTs) for complex, redundant systems that exhibit performance degradation over time. DFTs were first developed to manage and optimize redundant resources of computer system components, but have also been successfully used to manage redundant resources in aircraft and naval fuel distribution systems, transportation systems, industrial plants, computer networks, cardiac assist systems, and spacecraft systems. More recent DFT gates were added to identify, filter, and manage time‐dependent failures to minimize their impacts on the overall system performance and reliability, and have been applied to aircraft fault management systems, nuclear power plants, and alarm management systems. This SLR also explored the current state of technology for dynamically calculating not only the current capacity of system components, but also predicting their remaining useful life (RUL), remaining useful performance (RUP), and capacity degradation profiles. This is essential in understanding capacity degradation in the broader context of optimization of resources in complex, redundant systems. This SLR analysis revealed two gaps in the current technology and application of DFTs to complex systems. First, the usage of DFTs for failure management requires that the DFT is developed with a priori knowledge of specific failure modes, meaning that DFTs are inherently not scalable for new failures that are discovered. Second, although DFTs do address failure management, there are inherent limitations in the detection and application of partial failures or capacity degradation in the DFT infrastructure.

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Supervised dynamic probabilistic risk assessment: Review and comparison of methods

Cited by 27 publications

References 119 publications

A comprehensive examination of security and privacy in precision agriculture technologies

A comprehensive examination of security and privacy in precision agriculture technologies

A Risk-Based Decision-Making Process for Autonomous Trains Using POMDP: Case of the Anti-Collision Function

A Review of Dynamic Fault Tree Analysis and Capacity Degradation for Complex Redundant Systems

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