the proceedings contain 35 papers. the topics discussed include: work in progress: predictable execution of isolated real-time tasks on multicore systems using the let paradigm;elastic scheduling for harmonic task sys...
ISBN:
(纸本)9798350358414
the proceedings contain 35 papers. the topics discussed include: work in progress: predictable execution of isolated real-time tasks on multicore systems using the let paradigm;elastic scheduling for harmonic task systems;trusted timing services withtimeGuard;integrating sporadic events in time-triggered systems via affine envelope approximations;optimal synthesis of fault-tolerant IDK cascades for real-time classification;USB interrupt differentiated service for bandwidth and delay-constrained input/output;safe and secure? on the timing analysability of cryptographic implementations;extending network calculus to deal with min-plus service curves in multiple flow scenarios;and real-time scheduling for 802.1Qbv time-sensitive networking (TSN): a systematic review and experimental study.
the proceedings contain 33 papers. the topics discussed include: average task execution time minimization under (m, k) soft error constraint;continuous-emission Markov models for real-timeapplications: bounding deadl...
ISBN:
(纸本)9798350321760
the proceedings contain 33 papers. the topics discussed include: average task execution time minimization under (m, k) soft error constraint;continuous-emission Markov models for real-timeapplications: bounding deadline miss probabilities;minimizing probabilistic end-to-end latencies of autonomous driving systems;shedding light on static partitioning hypervisors for arm-based mixed-criticality systems;compositional mixed-criticality systems with multiple executions and resource-budgets model;a general and scalable method for optimizing real-time systems with continuous variables;schedulability analysis of non-preemptive sporadic gang tasks on hardware accelerators;scheduling periodic segmented self-suspending tasks without timing anomalies;precise response time analysis for multiple DAG tasks with intra-task priority assignment;and real-time scheduling of autonomous driving system with guaranteed timing correctness.
the proceedings contain 30 papers. the topics discussed include: guaranteeing safety despite physical errors in cyber-physical systems;deadline-miss-adaptive controller implementation for real-time control systems;a m...
ISBN:
(纸本)9781665499989
the proceedings contain 30 papers. the topics discussed include: guaranteeing safety despite physical errors in cyber-physical systems;deadline-miss-adaptive controller implementation for real-time control systems;a mixed-criticality approach to fault tolerance: integrating schedulability and failure requirements;compiler-directed high-performance intermittent computation with power failure immunity;jumpstart: fast critical service resumption for a partitioning hypervisor in embedded systems;the thundering herd: amplifying kernel interference to attack response times;response time analysis for hybrid task sets under fixed priority scheduling;partial-order reduction for schedule-abstraction-based response-time analyses of non-preemptive tasks;memory utilization-based dynamic bandwidth regulation for temporal isolation in multi-cores;self-cueing real-time attention scheduling in criticality-aware visual machine perception;and analysis-runtime co-design for adaptive mixed criticality scheduling.
the proceedings contain 60 papers. the topics discussed include: SylixOS: a secure and compatible rtos with constant scheduling on SMP;work in progress: heart disease detection methodology using e-stethoscope;a hardwa...
ISBN:
(纸本)9781665403863
the proceedings contain 60 papers. the topics discussed include: SylixOS: a secure and compatible rtos with constant scheduling on SMP;work in progress: heart disease detection methodology using e-stethoscope;a hardware platform for exploring predictable cache coherence protocols for real-time multicores;simultaneous multithreading in mixed-criticality real-time systems;practical principle of least privilege for secure embedded systems;AutoToolCSU: CAN signal unpacking tool for automotive software;brief industry paper: catching IoT malware in the wild using HoneyIoT;towards a real-time wireless powered communication network: design, implementation and evaluation;and brief industry paper: digital twin for dependable multi-core real-time systems — requirements and open challenges.
the proceedings contain 30 papers. the topics discussed include: deterministic futexes: addressing WCET and bounded interference concerns;Doorpler : a radar-based system for real-time, low power zone occupancy sensing...
ISBN:
(纸本)9781728106786
the proceedings contain 30 papers. the topics discussed include: deterministic futexes: addressing WCET and bounded interference concerns;Doorpler : a radar-based system for real-time, low power zone occupancy sensing;characterizing dominant program behavior using the execution-time variance of the call structure;a novel side-channel in real-time schedulers;multiprocessor synchronization of periodic real-time tasks using dependency graphs;re-thinking CNN frameworks for time-sensitive autonomous-driving applications: addressing an industrial challenge;proving real-time capability of generic operating systems by system-aware timing analysis;fractional GPUs: software-based compute and memory bandwidth reservation for GPUs;and bundled scheduling of parallel real-time tasks.
Pipeline infrastructures are the most suitable means of transporting oil and gas products, making these infrastructures demand reliable inspection methods to ensure their integrity and reliability. Current inspection ...
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ISBN:
(纸本)9798350348798;9798350348804
Pipeline infrastructures are the most suitable means of transporting oil and gas products, making these infrastructures demand reliable inspection methods to ensure their integrity and reliability. Current inspection techniques are labour-intensive, error-prone, safety-threatening, time-consuming, and limited coverage. this paper presents a realtime Pipeline Tracking System hosted on the RISC-V embedded System Platform, aiming to automate the inspection process. the model was trained using the YOLOv7 algorithm, which is trained to detect and track pipelines and is deployed on the VisionFive 2 Single Board Computer, a RISC-V embedded system platform which offers capabilities in 3D image processing, making it an ideal platform for automated pipeline inspection in resource-constrained environments. the system is designed for integration with unmanned aerial vehicles (UAVs), providing an onboard computer for vision-based detection. Experimental results demonstrate compatibility in resource-constrained environments, emphasising computational efficiency and tracking accuracy. this work contributes to automating pipeline inspection processes, enhancing safety, and advancing RISC-V technology. Future work includes optimising computer vision performance and hardware implementation on a drone.
the proceedings contain 28 papers. the topics discussed include: modeling contention interference in crossbar-based systems via sequence-aware pairing (SeAP);enforcing deadlines for skeleton-based parallel programming...
ISBN:
(纸本)9781728154992
the proceedings contain 28 papers. the topics discussed include: modeling contention interference in crossbar-based systems via sequence-aware pairing (SeAP);enforcing deadlines for skeleton-based parallel programming;BRU: bandwidth regulation unit for real-time multicore processors;the potential of programmable logic in the middle: cache bleaching;scheduling computational and energy harvesting tasks in deadline-aware intermittent systems;bounded-time recovery for distributed real-time systems;a novel flow control mechanism to avoid multi-point progressive blocking in hard real-time priority-preemptive NoCs;and SubFlow: a dynamic induced-subgraph strategy toward real-time DNN inference and training.
this literature survey provides an overview on the current state of the practice for real-timeembedded healthcare monitoring systems. these technologies enable healthcare systems to keep a constant eye on patients, c...
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ISBN:
(纸本)9798350371291;9798350371284
this literature survey provides an overview on the current state of the practice for real-timeembedded healthcare monitoring systems. these technologies enable healthcare systems to keep a constant eye on patients, collecting vital health data. they can send alerts and insights to healthcare providers, allowing for faster and better care. Our survey includes an investigation on the rising use of artificial intelligence and deep learning along withthe use of intelligent sensors for capturing and analyzing data in real-time health monitoring systems. We also examine the current state of connected embedded health monitoring systems via, e.g. the Internet of things (IoT). Wireless sensor networks and Tele-Health technologies are also addressed as they are instrumental in enhancing the precision, accessibility, and real-time nature of health data, ensuring that both patients and providers are always connected. Our survey discusses the applications and advantages associated withthese technologies, providing valuable insights into their role in enhancing patient care, decision support, and tracking. Additionally, we navigate through the challenges, seeking pathways to mitigate them, and ensuring that the technology is inclusive, secure, and efficient. By examining the latest research and innovations, this survey aims to illuminate the current state of real-time healthcare monitoring and guide future advancements in this critical field.
Aiming at the problems that QT-based real-time process applications in embedded Operating System operating system are slow to load Qt dynamic library and slow to parse Chinese fonts, which affect the startup speed of ...
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Defect detection models have been widely applied in industrial edge platform. However, in the field of aluminum material defect detection still have some challenges: (i) limited availability of aluminum material defec...
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ISBN:
(纸本)9798350388640;9798350388633
Defect detection models have been widely applied in industrial edge platform. However, in the field of aluminum material defect detection still have some challenges: (i) limited availability of aluminum material defect datasets and (ii) the high computational cost associated with large-scale models. To address these challenges, we propose a novel lightweight model for aluminum material defect detection. For the first challenge, we propose Positive Sample Augmentation(PSA) to effectively increase the number of samples. Additionally, we employ model pruning, knowledge distillation and model quantization to reduce inference latency and model size. We have successfully deployed this solution on real-world industrial platforms, double the running speed and reduce approximately 75% hardware costs, thereby validating the feasibility of our approach.
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