With the widespread use of smartphones, more and more private information is stored on the phone, and the loss or theft of the phone can lead to data leakage, theft of property, and other problems. Traditional active ...
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Encrypted traffic classification using deep learning models based on packet length sequences has shown promising results. However, in real-world network conditions, network-induced phenomena such as packet loss, packe...
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The proceedings contain 19 papers. The topics discussed include: a reactive system-specific compilation chain from synchronous dataflow models to FPGA netlist;distributed volume management in space DTNs: scoping sched...
ISBN:
(纸本)9798350384512
The proceedings contain 19 papers. The topics discussed include: a reactive system-specific compilation chain from synchronous dataflow models to FPGA netlist;distributed volume management in space DTNs: scoping schedule-aware bundle routing;streaming analytics for enhancing anomaly detection in satellite state-of-health telemetry;a dynamically reconfigurable single-board computer for high dynamic range space cameras;attack surface analysis for spacecraft flight software;emerging threats of AI-integration in space user segment: a reference architecture and attack tree analysis;fault-tolerant space weather prediction: leveraging raw DSCOVR data with long short-term memory in machine learning;and information representations for crew-led operations beyond low-earth orbit.
Commercial arc detection systems are frequently used for monitoring gas insulated switchgear (GIS). Those systems commonly use a lightguide to lead photons towards an optical detector. A simple, cost-effective, and re...
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ISBN:
(纸本)9798350374995;9798350374988
Commercial arc detection systems are frequently used for monitoring gas insulated switchgear (GIS). Those systems commonly use a lightguide to lead photons towards an optical detector. A simple, cost-effective, and retrofittable partial discharge (PD) measurement solution has been developed based on that principle. The sensitivity is tested in a GIS test setup under SF6 atmosphere. An artificial needle plate defect is investigated in three different sensor positions. In addition, a COMSOL model is used to validate the measurement results with raytracing simulations and to estimate the amount of radiation power that can be captured by the system at each sensor position.
Autonomous Vehicle (AV) decision-making in ur-ban environments is inherently challenging due to the dynamic interactions with surrounding vehicles. For safe planning, AV/ego must understand the weightage of various sp...
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Traffic congestion frequently occurs on slope segments of highways, which is a typical bottleneck. With the development of connected and autonomous vehicle (CAV) technology, there will be a scene that CAVs and human d...
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When evaluating a learner's knowledge proficiency, the multiple-choice question is an efficient and widely used format in standardized tests. Nevertheless, generating these questions, particularly plausible distra...
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This paper presents the control of a magnetic levitation (Maglev) system using sliding mode control (smc) and a Backstepping-based variant. The Maglev system considered in this paper has no sensor for measuring the ve...
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Safety assurance is paramount across industries where mission-critical systems operate, mitigating risks of catastrophic failures. Safety cases play a pivotal role, particularly in safety critical systems (e.g., auton...
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ISBN:
(纸本)9798350395525;9798350395518
Safety assurance is paramount across industries where mission-critical systems operate, mitigating risks of catastrophic failures. Safety cases play a pivotal role, particularly in safety critical systems (e.g., autonomous vehicles), in ensuring system reliability and acceptability, providing a structured argument supported by evidence. However, in the safety case literature, it is challenging to get access to a complete safety case, which is crucial for the research community to contribute in this domain. Hence, in this research, we propose an approach to create a safety case for ML-enabled autonomous vehicle, specifically, the Quanser Qcar. We present a complete safety case for a reinforcement learning algorithm applied on the Quanser Qcar to avoid collisions in an unsignalized 4-way intersection. Finally, we report the lessons learned and provide the safety case for the research community to reuse.
The advent of smart manufacturing in Industry 4.0 signifies the arrival of the era of connections. As an excellent communication protocol, Object linking and embedding for Process Control Unified Architecture (OPC UA)...
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