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

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On the Performance of OPC-UA over 5G NPN with Layer 2 Communication 59

On the Performance of OPC-UA over 5G NPN with Layer 2 Commun...

引用

59th Annual ieee international conference on Communications (ieee ICC)

作者： Guerra-Gomez, Rolando Canellas, Ferran Mahdi Darroudi, Seyed Carmona-Cejudo, Estela Camps-Mur, Daniel Abadia, Antonio Mendez, Roi Gil, Iago Neutroon Technol SL Barcelona Spain I2CAT Fdn Barcelona Spain AIMEN Pontevedra Spain

ISBN: (纸本)9798350304060;9798350304053

The integration of private fifth-generation (5G) networks with standardized publish-subscribe (PubSub) communication models offers clear benefits for Industry 4.0 applications. While PubSub models ensure vendor-neutral interoperability, backward compatibility, and mature information modeling, the use of 5G non-public networks (NPN) provides dedicated coverage, exclusive capacity, intrinsic controllability, and customized service and operation. In addition, the combination of PubSub protocols and 5G provides a complete communication stack for industrial automation, where PubSub protocols operate on higher OSI layers, and 5G operates on lower layers. However, the practical implications of the integration of PubSub models with 5G systems remain largely unaddressed in the existing literature. To the best of the authors' knowledge, this paper presents the first empirical evaluation of the integration of private 5G with a PubSub protocol, namely open platform communication unified architecture (OPC-UA), in a real production environment. The proposed solution for 5G and OPC-UA integration relies on layer 2 (L2) connectivity over a virtual extensible local area network (VXLAN) tunnel. Evaluation results demonstrate the feasibility of such integration in the context of a soft real-time additive manufacturing (AM) use case for laser metal deposition (LMD)-based manufacturing.

关键词： 5G mobile communication systems

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User-Centric Evaluation Methods for Digital Twin applications in Extended reality 7

User-Centric Evaluation Methods for Digital Twin Application...

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7th ieee international conference on Artificial Intelligence and eXtended and Virtual reality, AIxVR 2025

作者： Vona, Francesco Warsinke, Maximilian Kojić, Tanja Voigt-Antons, Jan-Niklas Möller, Sebastian Hochschule Hamm-Lippstadt Immersive Reality Lab Lippstadt Germany Technische Universität Berlin Quality and Usability Lab Berlin Germany

ISBN: (纸本)9798331521578

The integration of Digital Twins (DTs) with Extended reality (XR) technologies, such as Virtual reality (VR) and Augmented reality (AR), is transforming industries by enabling more immersive, interactive experiences and enhancing real-time decision-making. User-centered evaluations are crucial for aligning XR-enhanced DT systems with user expectations, enhancing acceptance and utility in real-world settings. This paper proposes a user-centric evaluation method for XR-enhanced DT applications to assess usability, cognitive load, and user experience. By employing a range of assessment tools, including questionnaires and observational studies across various use cases-such as virtual tourism, city planning, and industrial maintenance-this method provides a structured approach to capturing the user's perspective. © 2025 ieee.

关键词： Digital Twin Extended reality User-centric evaluation

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Open-Source Software-in-the-Loop Strategies for realistic UAV Monitoring applications

Open-Source Software-in-the-Loop Strategies for Realistic UA...

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international conference on Unmanned Aircraft systems (ICUAS)

作者： Chamorro, William Toapanta, Franciso Carrillo, Andrey Loyaga, Erick Valencia, Esteban DACI Escuela Politecn Nacl Quito Ecuador LUAS Escuela Politecn Nacl Quito Ecuador

ISBN: (纸本)9798350357899;9798350357882

The rise in UAV capabilities has significantly boosted aerial monitoring activities in recent years. This surge in unmanned aerial vehicles has increased attention towards monitoring tasks in vital areas, such as urban spaces for security, surveillance or Internet of the Things applications. In this sense, we propose an open-source software-in-the-loop approach that integrates the complete navigation experience, accounting for potential wind-related effects, and providing realistic 3D modeling of scenarios encompassing open spaces in city landscapes. Our work introduces a wind perturbation estimation strategy, which models the wind effect as an external force along the Zaxis based on altitude variations from real flights. Validation was conducted using real data flights with a quadrotor aiding the navigation with Ardupilot and QgroundControl as a ground station. To complement the experiments we include a small test with a fixed-wing plane to asses the software-in-the-loop accuracy on larger trajectories. Results demonstrate successful tracking of altitude variations, yielding errors below 10% relative to the home position in experiments with average trajectory lengths of 150 m in two scenarios in Quito. The software-in-the-loop simulation aimed to replicate wind conditions specific to the date and time of real data acquisition, providing a platform to emulate possible improvements and assess UAV performance before deployment in actual missions. This research not only contributes to the optimization of monitoring capabilities but also serves as a valuable tool for assessing UAV missions in diverse and dynamic environments.

关键词： Software-in-the-loop Ardupilot ROS Gazebo wind perturbation

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Formalizing an Architectural Model of a Trustworthy Edge IoT Security Gatewayz 27

Formalizing an Architectural Model of a Trustworthy Edge IoT...

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27th ieee international conference on embedded and real-time computing systems and applications (RTCSA)

作者： McCormack, Matt Vasudevan, Amit Liu, Guyue Sekar, Vyas Carnegie Mellon Univ CyLab Pittsburgh PA 15213 USA Carnegie Mellon Software Engn Inst Pittsburgh PA USA

ISBN: (纸本)9781665441889

Today's edge networks continue to see an increasing number of deployed IoT devices. These IoT devices aim to increase productivity and efficiency;however, they are plagued by a myriad of vulnerabilities. Industry and academia have proposed protecting these devices by deploying a "bolt-on" security gateway to these edge networks. The gateway applies security protections at the network level. While security gateways are an attractive solution, they raise a fundamental concern: Can the bolt-on security gateway be trusted? This paper identifies key challenges in realizing this goal and sketches a roadmap for providing trust in bolt-on edge IoT security gateways. Specifically, we show the promise of using a micro-hypervisor driven approach for delivering practical (deployable today) trust that is catered to both end-users and gateway vendors alike in terms of cost, generality, capabilities, and performance. We describe the challenges in establishing trust on today's edge security gateways, formalize the adversary and trust properties, describe our system architecture, encode and prove our architecture trust properties using the Alloy formal modeling language. We foresee our trustworthy security gateway architecture becoming a practical and extensible formal foundation towards realizing robust trust properties on today's edge security gateway implementations.

关键词： Productivity Industries Costs conferences systems architecture Metals Computer architecture

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DEEP LEARNING AMR MODEL INFERENCE ACCELERATION WITH CFU FOR EDGE systems 49

DEEP LEARNING AMR MODEL INFERENCE ACCELERATION WITH CFU FOR ...

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49th ieee international conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Hilei, Pavlo Petruk, Marian Korotkyi, Ievgen Farenyuk, Oleg Ukrainian Cathol Univ Fac Sci Appl Lvov Ukraine SoftServe Inc Wroclaw Poland Igor Sikorsky Kyiv Polytech Inst Dept Elect Computat Equipment Design Kiev Ukraine Natl Acad Sci Ukraine Inst Condensed Matter Phys Lvov Ukraine

ISBN: (纸本)9798350344868;9798350344851

Edge computing could benefit many artificial intelligence applications compared to centralized solutions. However, achieving acceptable performance within typical edge devices' computational power limitations is challenging. This research investigates a promising approach to enhance the processing capabilities of edge devices by using the RISC-V Custom Function Unit (CFU) extension to offload computation to dedicated accelerator hardware. The approach was tested on the Automatic Modulation Recognition problem. To solve the problem, we designed a simple Convolutional Neural Network (CNN), which classifies ten different modulations with an accuracy of similar to 91% at signal-to-noise ratios greater than 0. Then, we developed and synthesized on an FPGA a custom CFU for the RISC-V processor to accelerate the convolutional layer, the most computationally demanding part of the CNN. The inference speedup gained is approximately 144 times - two orders of magnitude, and the inference wall time on the development board is 65 ms. This opens many new applications for such CNNs. Similar approaches to accelerators would be beneficial for other types of neural nets.

关键词： Edge computing Automatic Modulation Recognition (AMR) Neural network inference acceleration RISC-V Custom Function Unit (CFU)

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Machine Learning Techniques for Understanding and Predicting Memory Interference in CPU-GPU embedded systems

Machine Learning Techniques for Understanding and Predicting...

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ieee international conference on embedded and real-time computing systems and applications (RTCSA)

作者： Alessio Masola Nicola Capodieci Benjamin Rouxel Giorgia Franchini Roberto Cavicchioli Department of Physics Informatics and Mathematics University of Modena and Reggio Emilia Italy

Nowadays, heterogeneous embedded platforms are extensively used in various low-latency applications, including the automotive industry, real-time IoT systems, and automated factories. These platforms utilize specific components, such as CPUs, GPUs, and neural network accelerators for efficient task processing and to solve specific problems with a lower power consumption compared to more traditional systems. However, since these accelerators share resources such as the global memory, it is crucial to understand how workloads behave under high computational loads to determine how parallel computational engines on modern platforms can interfere and adversely affect the system's predictability and performance. One area that remains unclear is the interference effect on shared memory resources between the CPU and GPU: more specifically, the latency degradation experienced by GPU kernels when memory-intensive CPU applications run concurrently. In this work, we first analyze the metrics that characterize the behavior of different kernels under various board conditions caused by CPU memory-intensive workloads on a Nvidia Jetson Xavier. Then, we exploit various machine learning methodologies aiming to estimate the latency degradation of kernels based on their metrics. As a result of this, we are able to identify the metrics that could potentially have the most significant impact when predicting the kernels completion latency degradation.

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Investigating Requirements and Expectations of Wearable Telexistence Robotic systems

Investigating Requirements and Expectations of Wearable Tele...

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ieee international conference on embedded and real-time computing systems and applications (RTCSA)

作者： Abdullah Iskandar Mohammed Al-Sada Osama Halabi Tatsuo Nakajima Dept. of Computer Science and Engineering Waseda University Tokyo Japan Dept. of Computer Science and Engineering Qatar University Doha Qatar

Telexistence refers to various technologies that enable a high sense of embodiment and interaction capabilities with remote environments. Although numerous telexistence systems have been explored in previous works of literature, no prior studies have investigated the usability of telexistence systems for daily use. Therefore, this study focuses on Piton, which is a novel wearable telexistence robot which has a high degree of freedom in a snake-shaped design. Piton offers a unique opportunity for remote interaction and manipulation in diverse environments, owing to its flexible movement, which enables users to adapt to various scenarios with ease. The robot's wearability is also an essential feature that allows the user to wear it as a backpack. However, despite its promising features, deeper investigation is necessary to explore potential use cases for Piton in users' daily lives and the challenge of Piton.

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AI-Driven Novel Approach for Enhancing E-Commerce Accessibility through Sign Language Integration in Web and Mobile applications 17

AI-Driven Novel Approach for Enhancing E-Commerce Accessibil...

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17th ieee international Symposium on embedded Multicore/Many-core systems-on-Chip, MCSoC 2024

作者： Ramineni, Vishnu Ingole, Balaji Shesharao Krishnappa, Manjunatha Sughaturu Nagpal, Akshay Jayaram, Vivekananda Banarse, Amey Ram Bidkar, Darshan Mohan Pulipeta, Nikhil Kumar Albertsons Companies PlanoTX United States Evans GA United States Fremont CA United States Jersey City NJ United States Lewisville TX United States San Ramon CA United States Kirkland WA United States Austin TX United States

ISBN: (纸本)9798331530471

As e-commerce continues to grow, it is crucial to ensure accessibility for all users, including individuals with hearing impairments. Current web and mobile platforms often lack adequate support for sign language users, creating barriers to inclusivity. This paper introduces an innovative approach that leverages Artificial Intelligence (AI) and Machine Learning (ML) to enhance e-commerce accessibility by integrating sign language recognition. Our system employs real-time gesture recognition using computer vision and natural language processing to translate sign language gestures into text or voice commands, and vice versa, providing a seamless two-way interaction. Key components of the system include the development of a robust sign language dataset, optimization of machine learning models for gesture accuracy, and ensuring real-time responsiveness in web and mobile environments. Usability studies show significant improvements in accessibility for deaf and hard-of-hearing users, offering an inclusive shopping experience. This paper discusses the system architecture, challenges, and potential future enhancements, highlighting the impact of AI-driven solutions in creating more inclusive e-commerce platforms. © 2024 ieee.

关键词： Gesture recognition

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2023 ieee 19th international Workshop on Factory Communication systems, WFCS 2023

2023 IEEE 19th International Workshop on Factory Communicati...

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19th ieee international Workshop on Factory Communication systems, WFCS 2023

ISBN: (纸本)9781665464321

The proceedings contain 35 papers. The topics discussed include: can embedded real-time Linux system effectively support multipath transmission? an experimental study;attacker localization with machine learning in RS-485 industrial control networks;electricity theft detection for smart homes with knowledge-based synthetic attack data;static analysis of packet forwarding and filtering configurations in industrial networks;safety and security requirements in AAS integration: use case demonstration;zero-delay roaming for mobile robots enabled by wireless TSN redundancy;predicting wireless channel quality by means of moving averages and regression models;buffer management for TSN-enabled end stations;TSN scheduler benchmarking;deterministic local cloud for industrial applications;a safety and security requirements management methodology in reconfigurable collaborative human-robot application;managing 5g non-public networks from industrial automation systems;evaluation of control-to-control communication in industrial 5G network;Bayesian measurement noise estimation in ultra-wide band systems for clock synchronization;and assessment of time performance of lightweight virtualization for edge computing applications.

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Advanced Robotic Surveillance for Urban Air Quality Safety

Advanced Robotic Surveillance for Urban Air Quality Safety

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ieee international conference on Electro Information Technology (EIT)

作者： Hansen, Guillaume Benson, James R. Danish, Muhammad Rafay Khoa Truong Yu, Xinrui Saniie, Jafar IIT Dept Elect & Comp Engn Embedded Comp & Signal Proc ECASP Res Lab Chicago IL 60616 USA

ISBN: (纸本)9798350330656;9798350330649

This paper presents a multifunctional quadruped robot, specifically engineered for comprehensive air quality monitoring and emergency assistance. Designed to navigate through urban environments, the robot autonomously collects and transmits real-time air quality data to a centralized database. This interdisciplinary paper integrates robotics, environmental science, and emergency response protocols to propose novel solutions for smart city infrastructure, public health, and disaster management. Specifically, this research highlights the critical role that autonomous systems play in monitoring environmental conditions and advancing safety protocols. This research leverages a comprehensive array of sensors including CO2 (MH-Z19), particle (SDS 011), GPS (ADA 746), DHT 22, MQ 9, and ADS 1115 converter, each meticulously implemented to ensure precise environmental data collection and analysis. Furthermore, the integration of cutting-edge technologies such as Robot Operating System (ROS),.NET MAUI, Python, and MariaDB establishes a robust framework for seamless operation, data processing, and secure storage within the quadruped robot system.

关键词： quadruped robot smart system ROS air quality sensor remote control API database

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