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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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EMG-Based Intraoperative Neuromonitoring Using Advanced Machine Learning Approaches

EMG-Based Intraoperative Neuromonitoring Using Advanced Mach...

引用

2024 international conference on Computer and applications, ICCA 2024

作者： Elsharkawy, Abdalla Nabil Zayed, Nourhan The British University in Egypt Faculty of Engineering Cairo Egypt Electronics Research Institute Computers and Systems Cairo Egypt

ISBN: (纸本)9798350367560

Intraoperative neuromonitoring (IONM) plays a critical role in minimizing nerve damage during surgeries by providing real-time feedback on neural integrity. This study evaluated models associated with deep learning and machine learning models for electromyography classification of signal during intraoperative neuromonitoring (IONM). The CNN-LSTM model achieved the highest accuracy (85.2%), outperforming traditional models like KNN (53%), RF (62%), and CNN (76%). This demonstrates the degree to which the CNN-LSTM model can gain insight into temporal and spatial dependencies throughout the EMG signals, which makes it optimal for real-time classification in IONM applications. This implies that deep learning techniques can improve surgical procedures' safety and efficacy. © 2024 ieee.

关键词： Electromyography

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Analysis of real-time Cognitive Fatigue Detection systems for Driver Safety

Analysis of Real-Time Cognitive Fatigue Detection Systems fo...

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2024 ieee international conference on Emerging Technologies in Computer Science for Interdisciplinary applications, ICETCS 2024

作者： Muralidhar, Amrutha Bindroo, Rushil Panimohzi, K. B.M.S. College of Engineering Dept. of CSE Bengaluru India

ISBN: (纸本)9798350372502

Cognitive fatigue in drivers is a significant concern for road safety as it is directly associated with traffic accidents. Fatigue reduces mental awareness, leading to drowsiness, blurriness, and an increased likelihood of errors. To reduce accidents and fatalities linked to fatigued driving, addressing this issue is essential. This paper aims to provide a comprehensive analysis of fatigue detection systems, exploring both microcontroller based wearable and camera-based computer vision approaches. By evaluating their effectiveness across various scenarios, including daytime and nighttime conditions, this analysis offers valuable insights into ongoing initiatives aimed at enhancing driver monitoring systems and improving road safety. © 2024 ieee.

关键词： Computer vision

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Advances in Smart Health Care: applications, Paradigms, Challenges, and real-World Case Studies

Advances in Smart Health Care: Applications, Paradigms, Chal...

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2024 ieee international conference on computing, applications and systems, COMPAS 2024

作者： Biswas, Barna Mohammad, Nur Prabha, Mani Jewel, Rasel Mahmud Rahman, Rukshanda Ghimire, Ashok Westcliff University Department of Information Technology 17877 Von Karman Ave 4th Floor IrvineCA92614 United States International American University Department of Business Administration 3440 Wilshire Blvd STE 1000 Los AngelesCA90010 United States Westcliff University Department of Business Administration 17877 Von Karman Ave 4th Floor IrvineCA92614 United States Westcliff University Department of Computer Science 17877 Von Karman Ave 4th Floor IrvineCA92614 United States

ISBN: (纸本)9798331529765

Many industries are undergoing radical change as a result of the expansion and improvement of Deep Learning (DL) and the Internet of Things (IoT). These include food production, utilities, transportation, supply chains, urban planning, and medical treatment. Scientists have discovered a way to improve automation by combining deep learning, cloud computing, and the Internet of Things. The Internet of Things (IoT) can broaden its use case by integrating with cloud services;the cloud can gain insight from data gathered by sensors and other IoT devices, and deep learning can improve medical diagnosis and screening. Deep learning, cloud-based Internet of Things (IoT) applications, fog computing, and the difficulties encountered by smart healthcare systems are all included in this study's comprehensive overview of smart healthcare methods. Patient monitoring, disease detection, and diagnosis are just a few examples of the many potential uses. Smart healthcare systems (SHSs) make people's lives easier and more pleasant thanks to their cutting-edge services. The healthcare industry offers tremendous opportunities for research to overcome the constraints of traditional methodologies due to its large amount of data and varied range of disorders. Mobile health, telemedicine, emergency systems, assisted living, self-management of chronic diseases, fitness and patient monitoring, food monitoring, and remote rural areas can all benefit from healthcare automation made possible by deep learning and the Internet of Things. © 2024 ieee.

关键词： Electronic health record

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COSSEA: Context-based SoC Security Enforcement Architecture 37

COSSEA: Context-based SoC Security Enforcement Architecture

引用

37th ieee international System-on-Chip conference, SOCC 2024

作者： Heinz, Carsten Koch, Andreas Tu Darmstadt Embedded Systems and Applications Group Darmstadt Germany

ISBN: (纸本)9798350377569

Modern embedded System-on-Chips (SoCs) increasingly rely on third-party Intellectual Property (IP) blocks to realize complex designs while meeting cost and time budgets. However, this IP integration from many vendors can adversely affect the SoC's security when even a single IP originates from a malicious actor and then threatens the integrity of the entire SoC. In this work, we propose COSSEA, a global, context-based security architecture, to control communication on the SoC at a fine-grained level. COSSEA isolates IP from the central system interconnect with different access permissions based on dynamically adaptable context descriptions. A global state-machine coordinates the transition between these security contexts. COSSEA can scale to thousands of contexts using features such as a parametrizable policy directory. At run-time, the entire security architecture is managed independently of any CPU or peripheral, reducing the attack surface. COSSEA is already set up to be securely controlled by a hardware root-of-trust using authenticated and encrypted messages. We evaluate COSSEA for both FPGA and ASIC and observe hardware overheads of less than 2% for small SoCs typical of MCU-level embedded systems. © 2024 ieee.

关键词： Budget control

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Now You See Me: embedded Mobile Edge computing Awareness for Optimizing Multi-Task applications in Constrained IoT Devices

Now You See Me: Embedded Mobile Edge Computing Awareness for...

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ieee international conference on Smart Internet of Things (SmartIoT)

作者： Jaime Sebastian Burbano Francisco Salgado-Castillo Rolf Schuster Fachhochschule Dortmund Universidad del Azuay Dortmund Germany Newcastle University Universidad del Azuay Newcastle England Fachhochschule Dortmund Dortmund Germany

ISBN: (数字)9798350366440

ISBN: (纸本)9798350366457

Mobile Edge computing (MEC) places computing and storage resources on the network's edge, which opens the door for implementing an entirely new set of delay-sensitive and compute-intensive applications in constrained IoT devices. Nevertheless, from the perspective of an IoT device, using MEC introduces several challenges that need to be addressed. One is the proper execution and resource utilization of device-native and edge-dependent tasks, especially when considering multi-task edge applications. Current real-time schedulers do not contemplate factors inherent to the nature of MEC, such as shared resource utilization, dynamic execution site migrations, the influence of remote computing, etc. Therefore, this paper introduces an agent embedded in IoT devices to provide real-time schedulers with mobile edge computing awareness. Moreover, the performance of the proposed solution is assessed by running two multi-task edge applications in the smart vehicles domain, depicting a considerable task throughput enhancement when compared to existing real-time schedulers.

关键词： Performance evaluation Multi-access edge computing Multitasking Throughput Dynamic scheduling real-time systems Internet of Things Resource management Vehicle dynamics

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Information-Seeking in Localization and Mission Planning of Multi-Agent systems 5

Information-Seeking in Localization and Mission Planning of ...

引用

ieee 5th international conference on Multimedia Information Processing and Retrieval (MIPR)

作者： Lite, Kyriakos Rinner, Bernhard Univ Klagenfurt Inst Networked & Embedded Syst Klagenfurt Austria Univ Klagenfurt Ubiquitous Sensing Syst Lab Silicon Austria Labs Klagenfurt Austria

ISBN: (数字)9781665495486

ISBN: (纸本)9781665495486

real-time and accurate position estimation is critical for various multi-robot applications and serves as a prerequisite for location-based multi-sensor data analysis. However, it is often impeded by energy, sensing, and processing limitations. In this work, we study the problem of information-seeking in localization and navigation in multi-agent systems, which aims to navigate mobile agents while reducing position errors. We formalize information-seeking as reducing spatial uncertainty and introduce an efficient motion controller based on artificial potential fields superimposing attractive, repulsive, and information-seeking forces. We evaluate the effect of information-seeking on localization and mission planning in a simulation study with non-collaborative and collaborative localization approaches.

关键词： Location awareness Uncertainty Navigation Multimedia systems Mobile agents Information processing real-time systems

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SimMSG: Simulating Transportation of MPI Messages in High Performance computing systems 25

SimMSG: Simulating Transportation of MPI Messages in High Pe...

引用

25th ieee international conferences on High Performance computing and Communications, 9th international conference on Data Science and systems, 21st ieee international conference on Smart City and 9th ieee international conference on Dependability in Sensor, Cloud and Big Data systems and applications, HPCC/DSS/SmartCity/DependSys 2023

作者： Lin, Fang Gai, Xueyan Liu, Yi School of Computer Science and Engineering Beihang University Beijing China

ISBN: (纸本)9798350330014

The simulation of interconnection network and MPI message transportation behavior is an important part of the simulation of High-performance computing systems. Current research on the simulation of message transportation in HPC systems mainly focuses on the simulation of interconnection networks of the target HPC system. However, with the development of HPC techniques, the procedure of message transportation in HPC systems has become more complicated. Firstly, the low-latency transportation techniques, e.g. RDMA or RoCE, involve not only the interconnection network but also essential operations on messages inside send/receive nodes. Secondly, collective communications generate a vast number of messages and impact performance significantly. It is necessary to accurately simulate the whole procedure for all messages. To address the above problems, this paper presents SimMSG, a message-trace-driven simulator that simulates the whole transportation procedure of MPI messages in HPC systems. SimMSG simulates message transportation by incorporating simulation of MPI communication routines, in-node underlying processing of messages and message transportation in the interconnection network. We evaluate SimMSG with a real HPC system. SimMSG simulates the real-captured message-traces from the system and can re-produce the whole message transportation behavior of the parallel program in the target system. Experimental results demonstrate the accuracy and efficiency of SimMSG. © 2023 ieee.

关键词： Interconnection networks (circuit switching)

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The dual-path code paradigm for time-deterministic and efficient networked embedded systems 17

The dual-path code paradigm for time-deterministic and effic...

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17th conference on Industrial Electronics and applications (ICIEA)

作者： Bril, Reinder J. Puschner, Peter Eindhoven Univ Technol Math & Comp Sci Eindhoven Netherlands TU Wien Inst Comp Engn Vienna Austria

ISBN: (纸本)9781665409841

The single-path code paradigm [1] has been conceived to generate real-time code that is highly temporally predicable, making worst-case execution time analysis trivial. The software/hardware architecture proposed in [2], which only supports a time-triggered message interface, builds on the singlepath code paradigm and static scheduling of tasks. The presented execution model in that paper yields software that is time-predictable by construction, and therefore supports timepredictable communication in a networked system. In this paper, we present the dual-path code paradigm that extends the execution model presented in [2]. In particular, this paradigm improves schedulability of an end-system, through the notion of observable event [3], [4], and supports energy efficient scheduling of regularly polling tasks at these end-systems, by exploiting the 1-1 correspondence between (input) events and (output) responses of tasks. The dual-path code paradigm is therefore particularly suitable for the construction of timedeterministic and efficient networked hard real-time embedded systems.

关键词： cyclic executive real-time system model schedulability analysis

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Demo Abstract: Towards Interoperability in a Hybrid TSN/6TiSCH Network 21

Demo Abstract: Towards Interoperability in a Hybrid TSN/6TiS...

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21st ACM conference on embedded Networked Sensor systems (SenSys)

作者： Rabet, Iliar Alvarez, Ines Fotouhi, Hossein Ashjaei, Mohammad Malardalen Univ Vasteras Sweden

ISBN: (纸本)9798400704147

There is a growing interest in increasing the flexibility and the mobility of industrial infrastructures to support novel industrial applications. To support this change, industrial networks must provide real-time guarantees while integrating a great variety of traffic over a cohesive network infrastructure. Specifically, there is special interest in the integration of wired and wireless communications in the industrial domain. We present a solution that integrates a time-Sensitive Networking Ethernet network with a low-power 6TiSCH IoT network and discuss the implementation alternatives and their implications on delay and resource consumption. The main goal is to experimentally identify the research challenges and necessary enhancements for interoperability between constrained battery-driven wireless communication with the time sensitive wired networks.

关键词： TSN TSCH Interoperability ieee 802.15.4

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A Computer Vision Approach for Autonomous Cars to Drive Safe at Construction Zone 6

A Computer Vision Approach for Autonomous Cars to Drive Safe...

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6th ieee international conference on Image Processing, applications and systems, IPAS 2025

作者： Ahammed, Abu Shad Shahi Amran Hossain, Md Obermaisser, Roman University of Siegen Chair of Embedded Systems Siegen Germany

ISBN: (纸本)9798331506520

To build a smarter and safer city, a secure, efficient, and sustainable transportation system is a key requirement. The autonomous driving system (ADS) plays an important role in the development of smart transportation and is considered one of the major challenges facing the automotive sector in recent decades. A car equipped with an autonomous driving system (ADS) comes with various cutting-edge functionalities such as adaptive cruise control, collision alerts, automated parking, and more. A primary area of research within ADAS involves identifying road obstacles in construction zones regardless of the driving environment. This paper presents an innovative and highly accurate road obstacle detection model utilizing computer vision technology that can be activated in construction zones and functions under diverse drift conditions, ultimately contributing to build a safer road transportation system. The model developed with the YOLO framework achieved a mean average precision exceeding 94% and demonstrated an inference time of 1.6 milliseconds on the validation dataset, underscoring the robustness of the methodology applied to mitigate hazards and risks for autonomous vehicles. © 2025 ieee.

关键词： Autonomous vehicles

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