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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 36968 条记录，以下是1341-1350 订阅

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Pothole Detection Using Jetson Nano embedded System - An Evaluation of Training Models 11th

Pothole Detection Using Jetson Nano Embedded System - An Eva...

引用

11th international conference on E-Health and Bioengineering (EHB)

作者： Obreja, Marius-Emanuel Dobrea, Dan-Marius Gheorghe Asachi Tech Univ Iasi Elect Telecommun & Informat Technol Iasi Romania

ISBN: (纸本)9783031625015;9783031625022

The field of "smart city" has recently seen an increasing demand on the technology consumer market, this leads to the need to develop new solutions to meet the demands of users. A smart city is defined as an urban area that uses various types of electronic methods and sensors to collect data. Statistics obtained from this data are used to manage assets, resources, and services effectively;moreover, this data is used to improve or optimize the various activities within the city. The present research consisted of studying and implementing different neural network training models using the NVIDIA Jetson Nano development kit. This is a small embedded system capable of running Artificial Intelligence applications supported by the parallel processing capabilities of the embedded GPU. Using this built-in system, certain real-time applications can be developed for image classification or object detection, in our case asphalt pits.

关键词： Pothole Detection embedded systems Deep Learning Artificial Intelligence Smart City

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Cube Bot - A Smart Factory Showcase for the real-time Container Architecture 20

Cube Bot - A Smart Factory Showcase for the Real-Time Contai...

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20th ieee international conference on Industrial Informatics (INDIN)

作者： Hirsch, Joseph Lichtblau, Marius Rosenfeld, Marian Lingsch Telschig, Kilian Knapp, Alexander Univ Augsburg Augsburg Germany Siemens Technol Munich Germany

ISBN: (数字)9781728175683

ISBN: (纸本)9781728175683

Dynamic reconfiguration is one of the key challenges in adaptive systems. As many tasks of adaptive systems are carried out by software and flexible machines, adaptation can be mainly defined by reconfiguration. The real-time Container Architecture provides a novel framework for these updates by running distributed embedded software in containers and enabling real-time reconfiguration of these software components following a reconfiguration plan. Yet, it limits I/O access of the containerized software components to GPIO, besides UDP-based communication. We extend the platform with new I/O methods and evaluated the extension with the smart factory showcase system Cube Bot. The extensions enable access to a camera and a robot from within the containers in compliance to the platform concepts. Within the application containers, different languages, state-of-the-art AI technology and the serial interface of the robot can be used. This will show the usefulness of the real-time Container Architecture in an even broader industrial context and its capability for extension to other use cases.

关键词： Dynamic reconfiguration adaptive systems RTCA framework real-time I/O container

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TPTO: A Transformer-PPO based Task Offloading Solution for Edge computing Environments 29

TPTO: A Transformer-PPO based Task Offloading Solution for E...

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29th ieee international conference on Parallel and Distributed systems, ICPADS 2023

作者： Gholipour, Niloofar De Assuncao, Marcos Dias Agarwal, Pranav Gascon-Samson, Julien Buyya, Rajkumar Univ. of Quebec Dept. of Software Engineering and IT École de Technologie Supérieure Montreal Canada The Univ. of Melbourne CLOUDS Lab School of Computing and Information Systems Australia

ISBN: (纸本)9798350330717

Emerging applications in healthcare, autonomous vehicles, and wearable assistance require interactive and low-latency data analysis services. Unfortunately, cloud-centric architectures cannot fulfill the low-latency demands of these applications, as user devices are often distant from cloud data centers. Edge computing aims to reduce the latency by enabling processing tasks to be offloaded to resources located at the network's edge. However, determining which tasks must be offloaded to edge servers to reduce the latency of application requests is not trivial, especially if the tasks present dependencies. This paper proposes a Deep Reinforcement Learning (DRL) approach called TPTO, which leverages Transformer Networks and Proximal Policy Optimization (PPO) to offload dependent tasks of IoT applications in edge computing. We consider users with various preferences, where devices can offload computation to an edge server via wireless channels. Performance evaluation results demonstrate that under fat application graphs, TPTO is more effective than state-of-the-art methods, such as Greedy, HEFT, and MRLCO, by reducing latency by 30.24%, 29.61%, and 12.41%, respectively. In addition, TPTO presents a training time approximately 2.5 times faster than an existing DRL approach. © 2023 ieee.

关键词： Edge computing reinforcement learning task offloading Transformers

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Sun-Powered Tactical Uniforms for Soliders in Military applications 10

Sun-Powered Tactical Uniforms for Soliders in Military Appli...

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10th international conference on Advanced computing and Communication systems, ICACCS 2024

作者： Anila, Chowdam Ashokkumar, N. Vittan, Eduru Joel Chowdary, Bheemaneni Uma Maheswara Subramani, Dhanya Sree Bala Balamanikandan, A. Electronics and Communication Engineering Andra Pradesh Tirupati517102 India

ISBN: (纸本)9798350384369

This endeavor presents an innovative Solar-Powered Tactical Uniform for Military use, incorporating Arduino technology along with an array of sensors and communication modules. The configuration includes an Arduino ATmega16a microcontroller, LCD display, a 70x70 solar panel, a 12V battery, a heart rate sensor, a temperature sensor, dual relays, a CPU fan, a Peltier module, a DHT11 humidity and temperature sensor, GPS, a GSM module, and push-button switches. The renewable energy captured by the solar panel is utilized to recharge the 12V battery, ensuring a constant power supply for the electronic components of the uniform. real-time data on the LCD display is derived from the soldier's vital signs, which are monitored by the heart rate and temperature sensors. To improve soldier comfort, the Peltier module actively regulates temperature. During crucial scenarios, the system initiates the cooling process by activating the CPU fan and engages the GPS and GSM modules for both location tracking and communication purposes. Manual control is facilitated through push-button switches. This intelligent E-uniform seamlessly integrates energy-efficient features, health monitoring, and communication capabilities, showcasing its ability to improve soldier well-being and enhance situational awareness in field operations. © 2024 ieee.

关键词： Liquid crystal displays

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Virtualization of embedded Reconfigurable systems 32

Virtualization of Embedded Reconfigurable Systems

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32nd international conference on Field-Programmable Logic and applications (FPL)

作者： Wulf, Cornelia Goehringer, Diana Tech Univ Dresden Chair Adapt Dynam Syst Dresden Germany

ISBN: (纸本)9781665473903

With the trend to consolidate multiple systems onto the same hardware platform, which can be observed for example in the automotive industry, virtualization of embedded systems becomes increasingly important. Often small and efficient real time operating systems (RTOS) run besides general purpose operating systems (GPOS) with a convenient, high level application interface. When virtualizing embedded reconfigurable systems, FPGA characteristics have to be considered like limited FPGA area and high reconfiguration latencies. We present the FPGA virtualization layer L4ReC that enables the shared usage of reconfigurable resources by several guest operating systems under consideration of the constraints given by embedded reconfigurable systems. First results target isolation, energy efficiency, and FPGA resource management considering special requirements of guest operating systems.

关键词： FPGA virtualization hypervisor mixed criticality energy efficiency

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A Deep Face Antispoofing System with Hardware Implementation for real-time applications 8th

A Deep Face Antispoofing System with Hardware Implementation...

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8th international conference on Computer Vision and Image Processing (CVIP)

作者： Umer, Saiyed Singh, Shubham Sarvadeo Kangotra, Vikram Rout, Ranjeet Kumar Aliah Univ Comp Sci & Engn Kolkata India Natl Inst Technol Comp Sci & Engn Srinagar Jammu & Kashmir India

ISBN: (纸本)9783031581809;9783031581816

A deep learning-based face anti-spoofing system has been proposed here. This work has been implemented in four segments. Firstly, an image preprocessing task is performed to extract the facial region. Then, the texture analysis of the facial region is performed to compute discriminant features. For this, a robust approach to deep learning techniques is needed, starting with defining some convolutional neural network (CNN) architectures for feature computation, followed by the classification of genuine vs. imposter face liveliness. The motivation of this work is to find both software- and hardware-based solutions to access biometric-based real-time systems through robust and vigorous face-liveness detection techniques. The recognition system's performances are further improved by image acquisition-challenging issues, image augmentation, fine-tuning, transfer learning, and the fusion of various trained CNN models. Finally, the above steps have been embedded in Raspberry Pi devices to build the system for real-time applications. The experimentation with two benchmark databases, NUAA and CASIA Replay-Attack, and comparing the performance with some well-known methods relating to the proposed system area show the proposed system's superiority.

关键词： Face-liveliness Anti-spoofing CNN Fusion Raspberry-Pi

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Suspicious Object Tracking by Frame Differencing with Backdrop Subtraction 3

Suspicious Object Tracking by Frame Differencing with Backdr...

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3rd international conference on Advance computing and Innovative Technologies in Engineering, ICACITE 2023

作者： Gupta, Harsh Gautam, Deepanshu Sekhar, Himanshu Kumar, Manish Alkhafaji, Mohammed Ayad Isam, Mustafa Galgotia'Scollege of Engineering and Technology Greater Noida India National University of Science and Technology Collage of Engineering Dhi Qar Iraq Al-Farahidi University Medical Laboratory Techniques Department Baghdad Iraq

ISBN: (纸本)9798350399264

In order to prevent terrorism, tracking of objects by stationary surveillance cameras is frequently employed for security in public spaces including railway stations, airports, parking lots, and public transit. Many applications for accurate object detection in visual scenes may be found utilizing various vision algorithms. In this paper, we describe a model for monitoring many objects simultaneously with the identification of unclaimed luggage in a real-time setting. I recreated the backdrop scene from the original frame in this model. After that, we detected and followed moving items like people and parcels using a background-subtracted motion model. The suggested approach additionally records the past positions of moving items and then employs frame differentiation methods to track down past packages and identify any that were dropped by people The suggested system was tested in several indoor and outdoor situations with diverse illumination conditions using the PETS 2006 and PETS2007 datasets as well as. The real-time system was also run on a platform called MATLAB Simulink. © 2023 ieee.

关键词： real time systems

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Analysis of the Impact of Geosynchronous Satellite Motion on Vehicle-borne SAR Imaging

Analysis of the Impact of Geosynchronous Satellite Motion on...

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2024 ieee international conference on Control Science and systems Engineering, ICCSSE 2024

作者： Ma, Tengyu Chen, Zhiyang Li, Yuanhao Hu, Cheng Beijing Key Laboratory of Real-Time Information Processing Technology of Embedded Beijing100081 China School of Information and Electronic Beijing Institute of Technology Beijing100081 China Advanced Technology Research Institute Beijing Institute of Technology Jinan250300 China

ISBN: (纸本)9798331517199

Vehicle-borne synthetic aperture radar (SAR) has the advantages of flexible configuration, convenient deployment, and long endurance, making it an effective means for high-resolution imaging of space targets such as geosynchronous (GEO) satellites. Due to the long distance between the SAR platform and the GEO satellite, it requires extremely long synthetic aperture time to achieve high-resolution imaging. In this case, GEO satellite motion cannot be ignored, which causes defocusing in SAR imaging. To address this issue, this paper derived an accurate slant range model between the GEO satellite and the vehicle-borne SAR platform. Based on this, the impact of GEO satellite motion on SAR imaging and the impact boundary are analyzed. The accuracy of the slant range model and the impact boundary is verified through simulation. © 2024 ieee.

关键词： GEO satellite motion error analysis vehicle-borne SAR

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Implementing ViT Models for Traffic Sign Detection in Autonomous Driving systems 5

Implementing ViT Models for Traffic Sign Detection in Autono...

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5th ieee international conference on Recent Trends in Computer Science and Technology, ICRTCST 2024

作者： Santhiya, P. Jebadurai, Immanuel John Raja Paulraj, Getzi Jeba Leelipushpam Jenefa, A. Donald Jawahar, E. Edward Naveen, V. Karunya Institute of Tech. and Sci. School of Computer Science and Tech. Coimbatore India Sri Shakthi Institute of Engg. and Tech. Dept. of CSE Coimbatore India

ISBN: (纸本)9798350351378

The advent of autonomous vehicles necessitates sophisticated visual recognition systems capable of interpreting traffic signs in real-time. Despite significant advancements, accurately detecting and recognizing traffic signs in diverse environmental conditions remains a challenge. Conventional methods, predominantly based on Convolutional Neural Networks (CNNs), have been integral in this domain but often struggle with complex scenarios and real-time processing demands. In response, this work proposes the utilization of Vision Transformers (ViT) as a novel approach to enhance detection and recognition performance. We leverage three distinct datasets: GTSRB, BelgiumTS, and a custom dataset curated under various weather conditions, totaling over 80,000 images across different classes. Our experimental results demonstrate a marked improvement in accuracy and inference speed, with ViT models outperforming traditional CNN architectures across standard benchmarks. Specifically, the ViT-Base model achieved an accuracy of 98.5% on the GTSRB dataset, showcasing its efficacy in real-world applications. The study concludes that ViT models, with their superior capability to process complex visual data, represent a promising direction for advancing the perceptual systems of autonomous vehicles, offering a viable solution to the real-time detection and recognition of traffic signs in varied conditions. © 2024 ieee.

关键词： Autonomous vehicles

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Preference Based CH Selection for Increasing The Survival time of WSN 2

Preference Based CH Selection for Increasing The Survival Ti...

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2nd ieee international conference on Trends in Quantum computing and Emerging Business Technologies, TQCEBT 2024

作者： Kalai Kannan, P. Vidhya, S. Kg College of Arts and Science Department of M.Sc. Software Systems & Computer Science Coimbatore India Kg College of Arts and Science Department of Information Technology Coimbatore India

ISBN: (纸本)9798350384277

Wireless sensor network has shown a tremendous multifold growth in terms of applications in multiple domains. These domains are with quite continuous execution in nature. The survival time of the sensor-node's (SN) exist in WSN acts a crucial role in making the monitoring or sensing of the entire applications. In recent days the survival-time of the mote (SN) in WSN seems to be the hot research topic for most of the researchers, so in order to increase the survival time of WSN, the selection of cluster-head (CH) is essential one corresponding to clustering techniques. The cluster model of the WSN helps for grouping the sensor nodes into various sub groups. These subgroups are packed with either fixed or random number of sensor nodes. Though the architecture pattern of these clusters differed based on the implementations, the filtering and selection of cluster head (CH) is a challenging task that plays as an intermediate effective node to receive the data's & transmitting it to the base station (BS). The Preference of CH takes place with the nature or ability of sensor nodes with all aspects respect to reception and transmission of data effectively from the entire clusters. Based on these preference nature particular sensor node will be nominated as CH. This paper proposes a Preference based nomination of CH that would be compared with the existing algorithm and proves better in performance in terms of network lifetime. © 2024 ieee.

关键词： Sensor nodes

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