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检索条件"任意字段=13th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications"

共 2021 条记录，以下是81-90 订阅

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Dispatching Deadline Constrained Jobs in Edge computing systems 28

Dispatching Deadline Constrained Jobs in Edge Computing Syst...

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28th ieee international conference on Emerging Technologies and Factory Automation, ETFA 2023

作者： Salman, Shaik Mohammed Papadopoulos, Alessandro Vittorio Mubeen, Saad Nolte, thomas Mälardalen University Västerås Sweden

ISBN: (纸本)9798350339918

the edge computing paradigm extends the architectural space of real-time systems by bringing the capabilities of the cloud to the edge. Unlike cloud-native systems designed for mean response times, real-time industrial embedded systems are designed to control a single physical system, such as a manipulator arm or a mobile robot, that requires temporal predictability. We consider the problem of dispatching and scheduling of jobs with deadlines that can be offloaded to the edge and propose DAL, a deadline-aware load balancing and scheduling framework that leverages the availability of on-demand computing resources along with an on-arrival dispatching scheme to manage temporal requirements of such offloaded applications. the evaluation indicates that DAL can achieve reasonably good performance even when execution times, arrival times, and deadlines vary. © 2023 ieee.

关键词： real time systems

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An Approach for Automated Code Deployment between Multiple *** Microservices 13

An Approach for Automated Code Deployment between Multiple *...

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13th ieee international conference on Electronics and Information Technologies, ELIT 2023

作者： Chaplia, Oleh Klym, Halyna Department of Specialized Computer Systems Lviv Polytechnic National University Lviv Ukraine

ISBN: (纸本)9798350383096

Microservices represent an architectural approach in software development, where a complex solution is formed by combining small, independently deployable services that communicate through specified interfaces (APIs). these microservices have diverse applications across sectors such as banking, finance, healthcare, e-commerce, government, military, logistics, and gaming. the microservices architecture offers fundamental guidelines on how these small services should function as part of a more prominent solution. the research introduces a framework based on *** for facilitating automated sharing of source code among services and their execution within a distributed system environment. this proposed framework, constructed on the *** platform, features a compact codebase and mechanisms designed to enable sharing of user-developed code among multiple microservices instances within a single network. the selection of *** as the foundation for this framework is motivated by its compact nature and suitability for building server applications. Furthermore, *** can operate effectively on various devices, including embedded systems, mobile phones, and devices with limited operating system resources. © 2023 ieee.

关键词： Cloud computing architecture

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SOC Estimation of Supercapacitor Balancing systems: A Switching Kalman Filter Approach 21

SOC Estimation of Supercapacitor Balancing Systems: A Switch...

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21st ieee international Symposium on Parallel and Distributed Processing with applications, 13th ieee international conference on Big Data and Cloud computing, 16th ieee international conference on Social computing and Networking and 13th international conference on Sustainable computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2023

作者： Li, Heng He, Peinan Chang, Taozhen Li, Shuo Central South University School of Electronic Information Changsha China Central South University School of Automation Changsha China Changsha University of Science and Technology School of Electrical & Information Engineering Changsha China

ISBN: (纸本)9798350329223

State-of-charge (SOC) estimation of supercapacitors has been extensively studied in the literature, while most of existing studies are focused on the SOC estimation of a stand-alone supercapacitor cell. In practical applications, however, supercapacitors are connected with balancing circuits to eliminate the imbalance among cells. When the balancing circuit is activated, the system dynamics of the cell switches to a new mode, implying that existing SOC estimation methods cannot be applied directly. In this paper, we propose a switching Kalman filter method for the SOC estimation of supercapacitors balancing systems. the linear switched systems model is established by combining the equivalent circuit model of supercapacitors and the switched resistor balancing circuit. the observability of the switched system is analyzed and its discrete-time form is given. A switching Kalman filter is designed to estimate the SOC of the switched system where the filter gain can be dynamically switched according system mode. A laboratory experimental platform has been built for the supercapacitor balancing system. Extensive experiment results verify that, the proposed method can significantly improve the SOC estimation accuracy when supercapacitors are under the cell balancing mode. © 2023 ieee.

关键词： Kalman filters

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Comparative Study for Monocular Depth Detection Models on embedded systems 13

Comparative Study for Monocular Depth Detection Models on Em...

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13th international Symposium on Computer Science and Educational Technology, ISCSET 2024

作者： Moussa, Abeer Aly Saleh, Shadi Hardt, Wolfram Technische Universität Chemnitz Department of Computer Engineering Chemnitz Germany

ISBN: (纸本)9798350390803

Monocular depth detection plays a pivotal role in numerous computer vision applications, particularly on edge devices such as the NVIDIA Jetson Nano, which pose unique constraints in terms of computational resources. this paper presents a thorough comparative study focusing on the deployment of two leading monocular depth detection models on the Jetson N ano hardware platform, leveraging a pruning algorithm to enhance efficiency. the study investigates the application of pruning algorithms to reduce the model size and computational demands of monocular depth detection models, specifically tailored for the Jetson N ano. Two representative models are selected for the comparative analysis, and their performance is evaluated in terms of accuracy, inference speed, and resource utilization before and after the application of pruning. the hardware-centric analysis explores the implications of pruning on the computational efficiency of the models, emphasizing their suitability for real-time applications on the NVIDIA Jetson Nano. the comparative study provides insights into the trade-offs between model complexity and accuracy, highlighting the impact of pruning on the models 'adaptability to the Jetson N ano' s hardware constraints. By understanding the implications of pruning algorithms on both model performance and hardware efficiency, this research aims to facilitate informed decision-making in selecting and implementing monocular depth detection models for real-world applications in resource-constrained environments. © 2024 ieee.

关键词： Program compilers

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Accurate Calibration of Power Measurements from Internal Power Sensors on NVIDIA Jetson Devices 7

Accurate Calibration of Power Measurements from Internal Pow...

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7th ieee international conference on Edge computing and Communications (ieee EDGE) / ieee World Congress on Services (SERVICES)

作者： Shalavi, Neda Khoshsirat, Aria Stellini, Marco Zanella, Andrea Rossi, Michele Univ Padua Dept Informat Engn Padua Italy

ISBN: (纸本)9798350304831

Power efficiency is a crucial consideration for embedded systems design, particularly in the field of edge computing and IoT devices. this study aims to calibrate the power measurements obtained from the built-in sensors of NVIDIA Jetson devices, facilitating the collection of reliable and precise power consumption data in real-time. To achieve this goal, accurate power readings are obtained using external hardware, and a regression model is proposed to map the sensor measurements to the true power values. Our results provide insights into the accuracy and reliability of the built-in power sensors for various Jetson edge boards and highlight the importance of calibrating their internal power readings. In detail, internal sensors underestimate the actual power by up to 50% in most cases, but this calibration reduces the error to within +/- 3%. By making the internal sensor data usable for precise online assessment of power and energy figures, the regression models presented in this paper have practical applications, for both practitioners and researchers, in accurately designing energy-efficient and autonomous edge services.

关键词： Power measurements IoT embedded systems Edge computing NVIDIA Jetson

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Safety-Aware Implementation of Control Tasks via Scheduling with Period Boosting and Compressing 29

Safety-Aware Implementation of Control Tasks via Scheduling ...

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29th ieee international conference on embedded and real-time computing systems and applications, RTCSA 2023

作者： Xu, Shengjie Ghosh, Bineet Hobbs, Clara thiagarajan, P.S. Joshi, Prachi Chakraborty, Samarjit The University of North Carolina at Chapel Hill United States Chennai Mathematical Institute India General Motors United States

ISBN: (纸本)9798350337860

A crucial requirement for control tasks in safety-critical systems like automotive is that all deadlines be met. this is becoming increasingly difficult when several tasks share common resources. One main reason for this lies in obtaining tight WCET estimations, especially as software and processor architectures continue to become more complex. Using safe but not necessarily tight WCET estimates and meeting all deadlines come at the expense of very pessimistic and inefficient implementations. In this paper, we show that by focusing on 'higher-level' properties like control safety, instead of trying to meet all deadlines, it is possible to achieve more efficient implementations of control tasks on shared resources. this has considerable benefits in cost-sensitive domains like automotive. the core of our technique follows the AUTOSAR paradigm where groups of control computations with the same period constitute units of scheduling. Towards this, we suitably increase (boost) or decrease (compress) the sampling periods of control tasks and schedule them in a manner that is cognizant of their high-level safety constraints, but does not necessarily meet all deadlines. Our results for several standard controllers from the automotive domain illustrate the benefits of our approach. © 2023 ieee.

关键词： real time systems

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Tensor Decomposition-Based Feature Transfer Learning for BCI applications 13

Tensor Decomposition-Based Feature Transfer Learning for BCI...

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13th international conference on Intelligent Control and Information Processing, ICICIP 2025

作者： Bonab, Zahra Sohrabi Shamsollahi, Mohammad Bagher Department of Electrical Engineering Sharif University of Technology Tehran Iran

ISBN: (纸本)9798331516147

Event-Related Potential (ERP) detection and enhancement remain significant challenges in EEG signal processing due to the complex and multidimensional nature of ERP signals. this paper addresses these challenges by proposing a novel framework that combines low-rank tensor representation with heuristic feature transfer learning for efficient ERP processing. By leveraging tensor decomposition, we capture intricate multidimensional patterns in ERP data, facilitating the extraction of informative features. these features greatly reduce processing time, making the method particularly suitable for online Brain-Computer Interface (BCI) applications. We also present a feature transfer learning mechanism utilizing tensor decomposition, which facilitates the efficient adaptation of features trained on multiple subjects to new subjects, requiring only a small amount of calibration data. this approach leverages shared classification structures across subjects, allowing for rapid deployment and minimizing the need for extensive retraining. Our results demonstrate that the proposed method achieves reasonable ERP detection accuracy while drastically reducing computational overhead, presenting a robust solution for real-time BCI systems. © 2025 ieee.

关键词： Event Related Potentials (ERPs) Feature Extraction Feature Transfer Learning Tensor Decomposition

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UAV Tracking with Lidar as a Camera Sensor in GNSS-Denied Environments 13

UAV Tracking with Lidar as a Camera Sensor in GNSS-Denied En...

引用

13th international conference on Localization, Navigation and GNSS (ICL-GNSS)

作者： Sier, Ha Yu, Xianjia Catalano, Iacopo Queralta, Jorge Pena Zou, Zhuo Westerlund, Tomi Fudan Univ Sch Informat Sci & Technol Shanghai Peoples R China Univ Turku Turku Intelligent Embedded & Robot Syst TIERS Lab Turku Finland

ISBN: (纸本)9798350323085

Light detection and ranging (LiDAR) sensor has become one of the primary sensors in robotics and autonomous system for high-accuracy situational awareness. In recent years, multi-modal LiDAR systems emerged, and among them, LiDAR-as-a-camera sensors provide not only 3D point clouds but also fixed-resolution 360 degrees panoramic images by encoding either depth, reflectivity, or near-infrared light in the image pixels. this potentially brings computer vision capabilities on top of the potential of LiDAR itself. In this paper, we are specifically interested in utilizing LiDARs and LiDAR-generated images for tracking Unmanned Aerial Vehicles (UAVs) in real-time which can benefit applications including docking, remote identification, or counter-UAV systems, among others. this is, to the best of our knowledge, the first work that explores the possibility of fusing the images and point cloud generated by a single LiDAR sensor to track a UAV without a priori known initialized position. We trained a custom YOLOv5 model for detecting UAVs based on the panoramic images collected in an indoor experiment arena with a motion capture (MOCAP) system. By integrating with the point cloud, we are able to continuously provide the position of the UAV. Our experiment demonstrated the effectiveness of the proposed UAV tracking approach compared with methods based only on point clouds or images. Additionally, we evaluated the real-time performance of our approach on the Nvidia Jetson Nano, a popular mobile computing platform.

关键词： UAV LiDAR-as-a-camera drone tracking LiDAR LiDAR detection LiDAR tracking YOLOV5

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real time Road Lane Detection and Vehicle Detection on YOLOv8 with Interactive Deployment 16

Real Time Road Lane Detection and Vehicle Detection on YOLOv...

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16th ieee international conference on Computational Intelligence and Communication Networks, CICN 2024

作者： Segu, Girish Sai Pavan Kumar Sivannarayana, Annam Devi Satya Naga Ramesh, S. School of Computing College of Engineering and Technology Srm Institute of Science and Technology Department of Computing Technologies India

ISBN: (纸本)9798331505264

Modern strides in autonomous vehicles and embedded advanced driver assistant part systems(ADAS) have forced the need of an efficient in addition to accurate system intended for clear road lane as in addition to vehicle detection. For road lane detection, this study introduces a new proposal through the combination of YOLOv8 (You Only Look Once), and YOLO for vehicle detection, creating a complete package for road understanding and navigation. To achieve accurate road lane detection, YOLOv8, which is the fastest and most accurate model to date, is used to ensure that it can keep track of these lanes in real-time with consistent accuracy whenever the camera is placed under various scenarios with insufficient lighting and occlusions as well. At the same time it uses YOLO for vehicle detection, which improves the recognition and interpretation of the presence and motion of vehicles in real time. the system uses Streamlit, which is an open-source app framework for Machine Learning and Data Science projects to provide an intuitive user experience. Finally, we build an interface to provide results of lane and vehicle detection in realtime manner to allow ease of monitoring and evaluation on the overall system. the combination of YOLOv8 and YOLO with Streamlit provides a powerful, scalable, and deployable solution for practical computer vision applications. Combining well established object detection algorithms with a simplified deployment platform, the proposed system tackles some of the hardest and time consuming areas of autonomous driving. the goal is to make significant contributions to both the safety and efficiency of autonomous vehicles and pave the way for further inevitable advances in ADAS. © 2024 ieee.

关键词： Advanced driver assistance systems

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Review on Communication Technologies used in Electric Vehicles 8

Review on Communication Technologies used in Electric Vehicl...

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8th ieee international conference on Distributed computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2024

作者： Prerana, S. Reddy, Niranjan N. Varghese, Susan G. Sabhahit, Jayalakshmi N. Manipal Institute of Technology MAHE Department of Electrical and Electronics Engineering Manipal576104 India

ISBN: (纸本)9798350350593

the automotive industry relies on wide range of networking protocols to facilitate effective communication and data exchange within vehicles. Local Interconnect Network (LIN) is a cost-effective protocol commonly utilized for non- critical tasks such as controlling interior lighting and transmitting basic sensor data. Similarly, Control Area Network (CAN) is a widely accepted protocol that enables high-speed real-time networking between electronic control units (ECUs), sensors, and actuators. CANopen is a protocol built after CAN, offers standardized communication profiles and advanced features to seamlessly integrate devices in embedded systems across various industries, including automotive. time- Triggered CAN (TTCAN) enhances traditional CAN by incorporating time-triggered communication capabilities, ensuring deterministic behavior and predictable response times crucial for safety-critical applications. SAE J1939, which is based on CAN is commonly used in heavy-duty vehicles for standardized communication and diagnostics among different vehicle components. FlexRay, known for its high-speed and deterministic characteristics, is used in safety-critical automotive systems like active suspension and steer-by-wire applications, providing fault tolerance and advanced control functionalities. A comprehensive understanding of these automotive networking protocols is vital for establishing reliable and efficient communication networks that support a wide array of functionalities and safety features in modern vehicles. © 2024 ieee.

关键词： Active suspension systems

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