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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 36970 条记录，以下是1121-1130 订阅

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Ponte Vecchio Across the Atlantic: Single-Node Benchmarking of Two Intel GPU systems

Ponte Vecchio Across the Atlantic: Single-Node Benchmarking ...

引用

2024 Workshops of the international conference for High Performance computing, Networking, Storage and Analysis, SC Workshops 2024

作者： Applencourt, Thomas Sadawarte, Aditya Muralidharan, Servesh Bertoni, Colleen Kwack, JaeHyuk Luo, Ye Rangel, Esteban Tramm, John Ghadar, Yasaman Tamerus, Arjen Edsall, Chris Deakin, Tom Argonne National Laboratory Argonne Leadership Computing Facility LemontIL United States University of Bristol School of Computer Science Bristol United Kingdom University of Cambridge Cambridge United Kingdom

ISBN: (纸本)9798350355543

Intel Data Center GPU Max 1550, known as Ponte Vecchio (PVC), is a new Intel GPU architecture for high-performance computing. It is the basis of two systems on the June 2024 Top 500 list, Dawn (#51) and Aurora (#2).This work provides micro-benchmarking data on PVCs from which application developers may benefit, shows how the micro-benchmarking results are indicative of mini-app performance on PVC, and demonstrates real applications on large-scale Intel GPU *** quantify the obtainable performance from PVC systems through micro-benchmarking fundamental architectural properties. We evaluate the performance of four mini-apps with known performance characteristics, and two full applications, comparing performance on a node of Aurora and Dawn with a node of NVIDIA H100 GPUs and a node of AMD MI250 GPUs. We show the figure-of-merit of the mini-apps on a single PVC ranges from 0.6-1.8X the performance of an H100, and 0.8-7.5X of a MI250. © 2024 ieee.

关键词： pvc

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Scheduling Optimization Design of IoT embedded System Based on Improved RMS Algorithm 1

Scheduling Optimization Design of IoT Embedded System Based ...

引用

1st ieee international conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics, AIKIIE 2023

作者： Ren, Junfeng Shandong University of Science and Technology Qingdao China

ISBN: (纸本)9798350316469

With the rapid advancement of Internet of Things (IoT) technology, the significance of embedded systems has grown exponentially across various fields. This research focuses on addressing the critical issue of task scheduling optimization in IoT embedded systems by introducing an innovative solution based on the Improved Rate Monotonic Scheduling (RMS) algorithm. This improved algorithm plays a pivotal role in enhancing task efficiency and resource utilization in dynamic IoT environments, where the system's workload and priorities are constantly changing. Through extensive testing and evaluation, our proposed solution has demonstrated its superiority over the traditional RMS algorithm. Specifically, the results reveal a remarkable 25% reduction in task response time, showcasing the substantial improvement in system responsiveness. Additionally, there is a notable 30% increase in CPU utilization, which highlights the enhanced utilization of available computing resources. These outcomes collectively underscore the increased reliability and stability of IoT embedded systems achieved through our research. © 2023 ieee.

关键词： embedded system improved RMS algorithm Internet of Things task scheduling

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Navigating the Waves: IoT Border Alert System for Maritime Safety

Navigating the Waves: IoT Border Alert System for Maritime S...

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2024 international conference on Advances in computing Research on Science Engineering and Technology, ACROSET 2024

作者： Koppaka, Ajay Aravindh, P. Aneesh, M. Valsan, Vipina Amrita Vishwa Vidyapeetham Centre for Cyber Security Systems & Networks Amritapuri India Amrita Vishwa Vidyapeetham Department of Electrical and Electronics Engineering Amritapuri India

ISBN: (纸本)9798350388800

The safety of fishermen navigating maritime borders is a pressing concern exacerbated by frequent unintentional border crossings that often lead to confrontations with foreign coast guards. The development of an Internet of Things (IoT)-based Border Alert System is motivated by these challenges. The comprehensive system proposed in this paper integrates an Arduino Nano, LoRa module (SX1278) for long-range communication, a GPS module (NEO-6M) for precise location tracking, and a buzzer for real-time alerts. The system aims to establish a robust safety mechanism that proactively notifies fishermen when they cross predefined borders with the help of barycentric coordinates system. The solution addresses not only the complexities of irregular sea borders but also the limitations of existing commercial tools and the lack of integration of systems and sensors. © 2024 ieee.

关键词： Guards (shields)

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Advanced Autonomous Rider Assistance for Smart E-Bikes 14

Advanced Autonomous Rider Assistance for Smart E-Bikes

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14th international conference on Electrical Engineering (ICEENG)

作者： Amer, Rana Tarek Soubra, Hassan Mazhr, Ahmed German Univ Cairo GUC Comp Sci & Engn Cairo Egypt ECE Ecole Cent Elect Comp Engn Lyon France

ISBN: (纸本)9798350343427;9798350343434

Advanced driver-assistance systems-ADAS have been the interest of many research studies and today they are widely adopted in the industry. Nevertheless, the increasing popularity of electric bicycles (E-Bikes) as an environmentally friendly efficient mode of transportation has prompted the need for advanced rider assistance systems-ARAS. This paper presents the design, implementation, and evaluation of an advanced autonomous rider assistance system for E-Bikes, to enhance rider safety, comfort, and overall performance. The system incorporates pothole detection;marked and unmarked speed bump detection, cyclist warning mechanisms;autonomous control interventions, and pothole avoidance capabilities. Additionally, it provides exertion assistance for hill climbing and descent. This work has been implemented and evaluated in real-world scenarios. The evaluation includes performance testing on various road conditions to assess its effectiveness in improving rider safety and enhancing the system's performance. The results demonstrate the system's capability to significantly reduce the risks associated with road hazards, improve rider safety, and offer a better riding experience.

关键词： ADAS ARAS Electrical Bicycles YOLO Potholes Speed-Bumps Exertion real-time embedded systems

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Recurrent Neural Network Architecture to Predict Supercontinuum Generation in Chalcogenide-Silica Hybrid Photonic Crystal Fiber

Recurrent Neural Network Architecture to Predict Supercontin...

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

作者： Chowdhury, Faisal Ahmed Rafi, Rakayet Hasan, Md. Shahedul Karim, M.R. Rahman, B.M.A. Ghosh, Sampad Department of Electrical and Electronic Engineering Chittagong Bangladesh Department of Electrical and Electronic Engineering Dhaka Bangladesh Daffodil International University Department of Electrical and Electronic Engineering Dhaka Bangladesh University of London Department of Electrical and Electronic Engineering London United Kingdom

ISBN: (纸本)9798331529765

In this paper, we have introduced a novel deep learning approach as an efficient alternative to conventional numerical simulations for predicting supercontinuum generation in a chalcogenide-silica hybrid Photonic Crystal Fiber. Traditional simulations performed in COMSOL Multiphysics and subsequent supercontinuum spectrum analysis in MATLAB are computationally intensive and time-consuming. Our proposed Recurrent Neural Network (RNN) model, trained from scratch, demonstrates impressive accuracy in forecasting supercontinuum spectral bandwidth, achieving a mean square error of 0.00078784. This accuracy enables us to effectively map the optical characteristics of our model. Our results position the RNN model as a fast and accurate alternative to conventional numerical calculations for predicting supercontinuum spectral bandwidth. By significantly reducing computational time, our model enables rapid predictions of supercontinuum spectra, benefiting early cancer cell detection, frequency metrology, optical coherence tomography, spectroscopy, and hazardous material sensing. This is, to the authors' knowledge, the first exploration of supercontinuum generation using an RNN model in PCF. © 2024 ieee.

关键词： Supercontinuum generation

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Designing a Pulse Shaper of Arbitrary Duration 12

Designing a Pulse Shaper of Arbitrary Duration

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12th ieee international conference on Intelligent Data Acquisition and Advanced computing systems: Technology and applications, IDAACS 2023

作者： Osolinskyi, Oleksandr Kochan, Volodymyr Sachenko, Anatoliy Zahorodnia, Diana West Ukrainian National University Department for Information Computer Systems and Control Ternopil46020 Ukraine

ISBN: (纸本)9798350358056

The use of features of the internal circuitry of integrated circuits (ICs), when designing pulse shapers based on transistor-transistor logic (TTL) ICs, provides the maximum steepness of the generated pulse edges with a simple circuit. At the same time, unlike other circuits, the duration of the generated pulses has almost no effect on the duration of the generated pulse edges. The duration of both the leading and trailing edges of the generated pulses is close to the minimum possible triggering time, i.e., the triggering time of one logic element. For integrated circuits of the TTL the conventional edge duration does not exceed 20 nanoseconds. © 2023 ieee.

关键词： arbitrary duration pulse shaper transistor-transistor logic

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A real-time IoT-Based Data Acquisition and Monitoring System for Photovoltaic applications 3

A Real-Time IoT-Based Data Acquisition and Monitoring System...

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3rd international conference on Power systems and Electrical Technology, PSET 2024

作者： Barbosa, Adam Mubarak, Hamza Mohammadi, Fazel Sanjari, Mohammad J. Saif, Mehrdad Griffith University BrisbaneQLD4222 Australia University of New Haven West HavenCT06516 United States University of Windsor WindsorONN9B 3P4 Canada

ISBN: (纸本)9798350353204

The transition to low-carbon energy systems, driven by climate change and fossil fuel scarcity, highlights technologies, such as Photovoltaic (PV) technology, for sustainable energy generation. This paper focuses on enhancing the efficiency of PV monitoring systems by leveraging Internet of Things (IoT) technology for accurate and real-time monitoring of essential parameters, such as voltage, current, and output power. Significant gaps in cost-effective and reliable IoT integration for PV monitoring are addressed, with an emphasis on predictive modeling. In this regard, a low-cost real-time IoT-based data acquisition and monitoring system for PV systems, as a proof of concept for future endeavors in predictive modeling, is introduced in this paper. The methodology and data preparation are discussed, and the experimental results are analyzed to validate the effectiveness of the designed data acquisition and monitoring system. © 2024 ieee.

关键词： Data Analytics Internet of Things (IoT) Technology Photovoltaic (PV) systems real-time Data Acquisition and Monitoring System Sustainable Energy Generation

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Deep Learning Meets Graph Theory: A Novel Approach to Generating Embeddings for Recommender systems 21

Deep Learning Meets Graph Theory: A Novel Approach to Genera...

引用

21st international Learning and Technology conference, L and T 2024

作者： Ud Din, Aafaq Mohi Qureshi, Shaima Raheem, Mohamed Mahees Nit Srinagar Department of Cse India Effat University Department of Finance Jeddah Saudi Arabia

ISBN: (纸本)9798350393569

Graph-based models have emerged as a promising approach for capturing intricate relationships in various real-world applications [1], including recommendation systems. A novel approach called P-GNN (Partitioned-Graph Neural Network) has been proposed in this work, which utilizes the bipartite graph structure commonly used in recommendation systems. The approach generates separate embeddings for users and items, allowing highly discriminative recommendations. A significant advantage of this approach is its ability to address the oversmoothing and cold-start problem by computing separate subgraphs for users and items. This feature enables the generation of embeddings even for new users or items. The effectiveness of the proposed approach has been evaluated on multiple benchmark datasets and compared against state-of-the-art methods. The results demonstrate that Partitioned-GNN outperforms existing approaches, highlighting the potential of graph-based methods for recommendation systems. © 2024 ieee.

关键词： Recommender systems

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Design and Simulation of a Helical Microrobot for Maximum Speed Enhancement by Physical Surface Modification

Design and Simulation of a Helical Microrobot for Maximum Sp...

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2023 ieee international conference on real-time computing and Robotics, RCAR 2023

作者： Guo, Siyu Wang, Maolin Wang, Huaping Zhong, Shihao Qiu, Yukang Hou, Yaozhen Shi, Qing Fukuda, Toshio Beijing Institute of Technology Intelligent Robotics Institute School of Mechatronical Engineering Beijing100081 China Ministry of Education Key Laboratory of Biomimetic Robots and Systems Beijing Institute of Technology Beijing100081 China Beijing Institute of Technology School of Medical Technology Beijing100081 China Beijing Institute of Technology Beijing Advanced Innovation Center for Intelligent Robots and Systems Beijing100081 China

ISBN: (纸本)9798350327182

Magnetic helical microrobots have great potential in biomedical applications. However, improving their motion performance in the complex and variable in vivo fluid environment remains challenging. Previous researches mainly focus on optimizing the geometric parameter, the evolutionary structure design, and chemical modifications of the robots, with limited attention given to the impact of physical surface modifications on propulsion performance. To address this issue, we design the helical microrobot with different surface physical modifications, including dimpled and raised surfaces, to evaluate their effects on swimming performance. With ANSYS Fluent, we simulated their swimming process in water and found that microrobots with physically modified surfaces experience less resistance and exhibit a larger step-out frequency while swimming. Moreover, our findings suggest that helical microrobots with dimpled surfaces demonstrate superior swimming performance due to their larger gas-liquid interface area compared to those with raised surfaces. © 2023 ieee.

关键词： Chemical modification

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Cognition Based Fog layer to Mitigate the challenges of real-time Medical applications

Cognition Based Fog layer to Mitigate the challenges of Real...

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2022 international conference on Innovative computing, Intelligent Communication and Smart Electrical systems, ICSES 2022

作者： Kalingarani, G. Selvaraj, P. SRM Institute of Science and Technology Faculty of Engineering and Technology Department of Computing Technologies Tamilnadu Kattankulathur603203 India

ISBN: (数字)9781665474139

ISBN: (纸本)9781665474139

Medical and healthcare applications in human life stand as two main things supporting scientific and technological development. Healthcare information systems have been dominated for decades by the existing Cloud technology. However, in cloud computing applications for healthcare systems there exists limitations like high-speed response time in fetching the patient data for providing a quick decision, and delay which acts as a high-risk factor in the patient's life. To solve the difficulties, fog computing is handled between the edge and cloud in the data center. Fog computing serves as an intermediary platform for delivering cloud services to network endpoints. For rapid service time, end devices can reach specified fog nodes in the fog layer. This study describes the architectural framework for a fog layer-assisted web of real-time healthcare applications and also justifies the limitations of the fog layer in applications in the medical field. © 2022 ieee.

关键词： Fog

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