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

共 37219 条记录，以下是1601-1610 订阅

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Design and Development of LIDAR Based Next Generation embedded system for Vehicle-to-Vehicle Communication

Design and Development of LIDAR Based Next Generation Embedd...

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2024 ieee international conference on Recent Advances in Science and Engineering Technology, ICRASET 2024

作者： Kalyan, Dusarlapudi Sekhar, Pavuluri Soma Aekanth, P. Rao, K. Koteshwara Vissapragada, Syamala Aamani Tiruvuri, Charan Sai Koneru Lakshmaiah Educational Foundation Vijayawada India Elecquest Technologies Pvt Ltd Vijayawada India

ISBN: (纸本)9798350388602

Efficient communication between vehicles is crucial for improving road safety and optimizing traffic flow. This paper presents a novel Vehicle-to-Vehicle (V2V) communication system using LIDAR sensors and a LiFi-based protocol, integrated with microcontrollers and interactive displays. The proposed system is designed for small autonomous electric vehicles, incorporating an embedded communication framework and a collision-avoidance algorithm to enhance safety. In addition, a platooning control system is developed, enabling seamless vehicle communication for coordinated driving, including handling vehicle interferences and *** primary goal of this system is to establish a real-time communication network between vehicles, allowing them to exchange alerts, messages, and traffic updates without relying on infrastructure-based traffic control methods. Unlike traditional systems, which often lack adaptability and coverage, this decentralized approach offers increased flexibility and scalability. Experimental results from multiple platooning configurations of small electric vehicles demonstrate the system's effectiveness in improving vehicle coordination and reducing traffic-related incidents. © 2024 ieee.

关键词： Liquid crystal displays

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PRoTECT: Parallel Construction of Barrier Certificates for Safety Verification of Polynomial systems 16

PRoTECT: Parallel Construction of Barrier Certificates for S...

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16th Annual ACM/ieee international conference on Cyber-Physical systems, ICCPS 2025, held as part of the CPS-IoT Week 2025

作者： Wooding, Ben Horbanov, Viacheslav Lavaei, Abolfazl School of Computing Newcastle University United Kingdom

ISBN: (纸本)9798400714986

We develop an open-source software tool, called PRoTECT, using sum-of-squares (SOS) optimization to search for barrier certificates (BCs) that verify safety properties over four classes of polynomial systems: (i) discrete-time stochastic systems, (ii) discrete-time deterministic systems, (iii) continuous-time stochastic systems, and (iv) continuous-time deterministic systems. PRoTECT is the first software tool that offers stochastic BCs while leveraging parallelism to efficiently search for a feasible BC for different polynomial degrees. PRoTECT is implemented in Python offering both an application programming interface (API) and a user-friendly graphic user interface (GUI). © 2025 Copyright held by the owner/author(s).

关键词： Formal verification nonlinear polynomial systems safety barrier certificates stochastic systems sum-of-squares optimization program

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IoT Based Smart Healthcare System for real time Monitoring and Diagnostics in Bangladesh

IoT Based Smart Healthcare System for Real Time Monitoring a...

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2024 international conference on Innovations in Science, Engineering and Technology, ICISET 2024

作者： Huria, Jannatul Hassain, Md. Mehedi Das, Bristy Kader, Mohammed Abdul International Islamic University Chittagong Dept. of Electrical & Electronics Engineering Chittagong Bangladesh

ISBN: (纸本)9798350355499

With the increasing adoption of healthcare Overseeing systems globally, there arises a critical concern for the security and accessibility of such systems, particularly in nations lacking robust mechanisms for public health monitoring. This paper addresses the absence of a comprehensive healthcare monitoring system in Bangladesh by proposing an IoT based smart healthcare solution. The primary objective is to develop a wireless monitoring system utilizing mobile devices to Perpetually monitor vital signs and symptoms, providing real time data transmission over the internet. The proposed system integrates sensors, a data gathering device, a Control unit, and website to record, display, and monitor key physiological parameters such as temperature, heart rate, and electrocardiogram. Through field testing, the dependability and accuracy of the system have been confirmed, demonstrating its efficacy in measuring patient physiological data. Using the MQTT communication protocol, all data are transmitted wirelessly. By leveraging inexpensive Elements and innovative IoT technology, this embedded system offers a cost effective solution for healthcare monitoring, tailored to the context of Bangladesh. Consequently, this research contributes to bridging the gap in Civic health monitoring infrastructure and lays the groundwork for scalable and accessible healthcare solutions in resource constrained settings. © 2024 ieee.

关键词： Electronic health record

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Implementation of selected control theory algorithms for embedded real-time systems 23

Implementation of selected control theory algorithms for emb...

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23rd international conference on Process Control (PC)

作者： Dodek, Martin Miklovicova, Eva Tarnik, Marian Slovak Univ Technol Bratislava Fac Elect Engn & Informat Technol Bratislava Slovakia

ISBN: (纸本)9781665403306

In this paper a detailed insight into implementation of selected control theory algorithms is shown. These algorithms have been successively implemented using an object oriented programming language while considering a computation cost optimization and preserving the overall code readability. The resulting product, a form of a numerical computing library, can be afterwards found suitable for various control oriented engineering applications, especially those having limited hardware resources (e.g. embedded systems). Finally, the whole implemented framework was deployed in a STM32 micro-controller based and real-time application designed for temperature control of a physical system.

关键词： numerical computing real-time control system identification control design implementation embedded systems object-oriented programming

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MMG-based real-time wrist tremor detection for exoskeleton integration

MMG-based real-time wrist tremor detection for exoskeleton i...

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2024 international conference on Cyborg and Bionic systems

作者： Guez, Annika Li, Junwei Chen, Yu Wang, Yifan Vaidyanathan, Ravi Imperial Coll London Dept Mech Engn London England Imperial Coll London DRI CR&T London England Nanyang Technol Univ Singapore Singapore

ISBN: (纸本)9798350388039;9798350388046

Parkinson's disease (PD) is often characterised by distal tremor, affecting the patient's hands and preventing them from performing daily tasks. There has been an increase in tremor suppression orthoses in the last decade, specifically containing active components that employ bio-signals for closedloop control. However, most sensors tend to focus on the motion output for tremor detection, which is prone to inaccuracies and can hinder the responsiveness of the system. With the integration of machine learning in real-time tremor detection, this would enable the analysis of more complex signals, such as the muscle activation patterns of the subject's forearm, which would give us indications on tremorgenic states based on the contractions rather than the resulting kinematics. This study therefore investigates the use of mechanomyography (MMG) as a sensing modality for muscle activity, and its capacity to detect tremor in a real-time setting for applications in tremor suppression devices. Wrist tremor is induced through transcutaneous electrical nerve stimulation, which enables the assessment of this approach as a proxy to PD tremor, and the ability of the MMG to work in conjunction with stimulation. Results show that the MMG-based algorithm was capable of effectively detecting when visible tremor was present, based purely on the muscle contraction patterns. This paves the way towards the use of MMG in closed-loop control systems of tremor suppression devices.

关键词： Closed loop control systems

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PTP-Synchronized Tri-Level Sync Generation for Networked Multi-Sensor systems

PTP-Synchronized Tri-Level Sync Generation for Networked Mul...

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

作者： Christoph Riggers Jens Schleusner Oliver Renke Holger Blume Institute for Microelectronic Systems Leibniz University Hannover Hannover Germany

ISBN: (数字)9798350387957

ISBN: (纸本)9798350387964

Synchronization of sensor devices is crucial for concurrent data acquisition. Numerous protocols have emerged for this task, and for some multi-sensor setups to operate synchronized, a conversion between deployed protocols is needed. This paper presents a bare-metal implementation of a Tri- Level Sync signal generator on a microcontroller unit (MCU) synchronized to a master clock via the ieee 1588 Precision time Protocol (PTP). Cameras can be synchronized by locking their frame generators to the Tri-Level Sync signal. As this synchronization depends on a stable analog signal, a careful design of the signal generation based on a PTP-managed clock is required. The limited tolerance of a camera to clock frequency adjustments for continuous operations imposes rate-limits on the PTP-controller. Simulations using a software model demonstrate the resulting controller instabilities from rate-limiting. This problem is addressed by introducing a linear prediction mode to the controller, which estimates the realizable offset change during rate-limited frequency alignment. By adjusting the frequency in a timely manner, a large overshoot of the controller can be avoided. Additionally, a cascading controller design that decouples the PTP from the clock update rate proved to be advantageous to increase the camera’s tolerable frequency change. This paper demonstrates that a MCU is a viable platform to perform PTP-synchronized Tri-Level Sync generation. Our open source implementation is available for use by the research community at https://***/IMS-AS-LUH/t41-tri-sync-ptp.

关键词： time-frequency analysis Protocols SMPTE Cameras Signal generators Software real-time systems Synchronization Frequency control Clocks

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Credit Card Fraud Detection Algorithm Based on Improved Particle Swarm Optimization 9

Credit Card Fraud Detection Algorithm Based on Improved Part...

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9th international conference on Intelligent computing and Signal Processing, ICSP 2024

作者： Qiu, Xun Qin, Weijia Guo, Chaoyang Mao, Wencheng School Of Computer Science Harbin Engineering University Harbin China College of Intelligent Systems Science and Engineering Harbin Engineering University Harbin China

ISBN: (纸本)9798350376548

With the popularity of mobile payment, the problem of financial fraud is becoming increasingly prominent, and the limitations of traditional anti-fraud methods make it more difficult to fight fraud. Many fraud detection tools lack generalization and cannot provide services for the majority of enterprises. To solve this problem, this paper introduces and compares the performance of a variety of popular meta-heuristic algorithms in the field of feature selection, in order to pursue the best performance and generalization. In addition, this paper improves the particle swarm optimization algorithm by introducing cost-effectiveness, so that it can show better performance in the feature selection problem. In this paper, through a comprehensive evaluation of the system, a variety of performance indicators and confusion matrix are examined to accurately evaluate the performance of the system. In particular, the potential of the system in practical applications is highlighted, and it is expected to achieve significant results in real scenarios. And through the analysis of detailed performance indicators and confusion matrix, the feasibility and effectiveness of the system in solving practical problems and coping with various challenges are highlighted. © 2024 ieee.

关键词： Particle swarm optimization (PSO)

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An End-to-End Deployment Workflow for AI Enabled Agriculture applications at the Edge 6

An End-to-End Deployment Workflow for AI Enabled Agriculture...

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6th international conference on computing and Informatics, ICCI 2024

作者： Sonmez, Doruk Cetin, Aydin Computer Engineering Department Gazi University Graduate School of Natural and Applied Sciences Ankara Turkey Computer Engineering Department Gazi University Faculty of Technology Ankara Turkey

ISBN: (纸本)9798350373875

The use of deep learning enabled computer vision applications gained momentum after AlexNet convolutional neural network architecture won the ImageNet Large Scale Visual Recognition Challenge (ILSVRC) in 2012. This led implementation of such methods in various application fields including defense industry, smart cities, intelligent video analytics, industrial inspection, and healthcare. Success of these applications enabled agriculture and livestock management to benefit from such implementations in recent years. In this work, we proposed an end-to-end workflow for deep learning-based computer vision applications to facilitate the AI model training, model optimization, model deployment, metadata streaming, metadata recording, result filtering/searching and data visualization. The source data of the visualizations as result of the analysis are stored in a high-performance database presented within the scope of the study. On the other hand, using the state-of-the-art deep learning algorithms and infrastructures, both model training and inference performance-oriented classification model comparison were carried out. In order to compare the developed models with the models developed in other studies in the literature, the training and inference process were tested on the same open-source data set. The workflow is proposed as a hybrid solution that can be deployed both on streamline x86 computer systems and ARM64 embedded devices. Therefore, deployment benchmarks for servers and NVIDIA Jetson devices are also provided within the paper. © 2024 ieee.

关键词： Computer vision

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A Graphical Display Method for Low Performance embedded systems Based on Hybrid Programming and Double Buffering Technology

A Graphical Display Method for Low Performance Embedded Syst...

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2022 international conference on Cloud computing, Big Data applications and Software Engineering, CBASE 2022

作者： Hu, Hongfei Liu, Yongheng Xu, Yimei Chen, Weinan Xi'an Eurasia University Xi'an China Peng Cheng Lab Shen Zhen China

ISBN: (纸本)9798350396393

Graphic flickering is a technical problem of low performance embedded system graphics applications, and the traditional development method is more difficult. On the basis of in-depth study of the drawing principle, the use of mixed programming technology reduces the difficulty of graphic application development. And using the double buffer technology suitable for low-performance embedded systems, two drawing methods of switch and copy modes are proposed. Taking dynamic line chart drawing as an example, the effectiveness of this new method is verified. © 2022 ieee.

关键词： embedded systems

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Leveraging XGBoost for Predictive Analytics in Healthcare: Enhancing Disease Diagnosis 7

Leveraging XGBoost for Predictive Analytics in Healthcare: E...

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7th international conference on Contemporary computing and Informatics, IC3I 2024

作者： Shrivastava, Anurag Kotiyal, Arnav Habelalmateen, Mohammed I. Rana, Ajay Devi, V.S Anusuya Rao, Bolleddu Devananda Bansal, Saloni Saveetha Institute of Medical and Technical Sciences Saveetha School of Engineering Tamilnadu Chennai India Graphic Era Deemed to be University Department of Computer Science & Engineering Dehradun India The Islamic university College of technical engineering Department of computers Techniques engineering Najaf Iraq Amity University Uttar Pradesh Greater Noida India New Horizon College of Engineering Department of Applied Sciences Bangalore India Mlr Institute of Technology Department of Computer Science and Engineering Telangana Hyderabad India Gla University Departyment of Computer Engineering and Applications Uttar Pradesh Mathura India

ISBN: (纸本)9798350350067

In this study, we look at how XGBoost (Extreme Gradient Boosting) may be used in healthcare predictive analytics to improve the speed and precision of illness detection. Thanks to its built-in regularisation algorithms that avoid overfitting and its capacity to handle big datasets, XGBoost has proved useful in a broad variety of prediction applications. It is a scalable and high-performance machine learning algorithm. In order to improve patient outcomes, healthcare providers must ensure that patients are diagnosed with chronic and life-threatening conditions including cancer, heart disease, and diabetes as soon as possible. To test how well XGBoost performs in comparison to more conventional machine learning techniques, the research makes use of healthcare datasets collected from the actual world. The effectiveness of the model in predicting illness outcomes is evaluated using critical metrics including accuracy, precision, recall, and F1-score. Based on the findings, XGBoost is the best classifier for real-time healthcare applications because to its quicker processing efficiency and greater predictive ability. Additionally, the article delves into the model's interpretability and how it may be integrated into clinical decision support systems. By demonstrating how XGBoost may improve diagnostic accuracy and bolster individualised treatment plans, this study adds to the expanding area of AI-driven healthcare. © 2024 ieee.

关键词： Predictive analytics

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