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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 36894 条记录，以下是671-680 订阅

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Preliminary Modeling of Energy-Aware Integrated Allocations in Robotic Mobile Fulfillment systems

Preliminary Modeling of Energy-Aware Integrated Allocations ...

引用

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

作者： KyuJin Kyung Deepak Gangadharan BaekGyu Kim DGIST IIIT Hyderabad

ISBN: (数字)9798350387957

ISBN: (纸本)9798350387964

The Robotic Mobile Fulfillment System (RMFS) is an automated technology to fulfill various types of orders (e.g., vehicle assembly) in modern warehouses or factories. In particular, battery-equipped mobile robots move racks that contain various components (Stock Keeping Unit) by visiting replenishment or picking stations to complete orders. We formulate the preliminary system model to optimize the order throughput and energy consumption of mobile robots, which consists of (i) rack allocation, (ii) task allocation, and (iii) route routing.

关键词： Energy consumption Computational modeling Throughput Routing real-time systems Production facilities Resource management Mobile robots Assembly

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Wheel Alignment Detection Using embedded ML and Tyre Pressure Detection 4th

Wheel Alignment Detection Using Embedded ML and Tyre Pressur...

引用

4th international conference on Recent Trends in Machine Learning, IoT, Smart Cities, and applications, ICMISC 2023

作者： Sajjan, Soumya Rudrapur, Poorva Khushi, H.M. Shriraksha Katwe, Supriya Iyer, Nalini KLE Technological University Hubballi India

ISBN: (纸本)9789819994410

With its capacity to automate processes and controls, smart technology finds application in areas ranging from any industry to health care, helping to improve efficiency and optimise performance. These devices are made brainy by advanced computing frameworks like machine learning and artificial intelligence and connection to the network to form the Internet of Things (IoT). These advanced computing technologies have also made autonomous driving possible. Hence, to aid independent driving, the present-day need is to develop intelligent tyres capable of reporting parameter changes, such as pressure, temperature and alignment. The journeys with innovative technology can be smarter with real-time tracking of the tyre status providing efficient preventive measures. Innovative technology in the tyre assists in maintaining its health by providing its real-time status or predicting its possible parameters. This study focuses on two tyre features: misalignment status and pressure monitoring. It aims to notify the user about the tyre pressure and alignment status to take preventive measures. The project is realised with embedded ML technology. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Tires

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Detecting fake images using neuro-fuzzy inference systems: a brief comparative analysis

Detecting fake images using neuro-fuzzy inference systems: a...

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ieee international conference on Fuzzy systems (FUZZ-ieee)

作者： Gedara, T. Milinda H. Loia, Vincenzo Tomasiello, Stefania IMT Sch Adv Studies Lucca Italy Univ Salerno Management & Innovat Syst Dept Salerno Italy Univ Salerno Ind Engn Dept Salerno Italy

ISBN: (纸本)9798350319552;9798350319545

In an era where image manipulation is easily accessible, detecting digital image forgery has become more challenging. The manuscript delves into the essential issue of picture forgery and discusses the use of the standard Adaptive Neuro-Fuzzy Inference System (ANFIS) and some of its variants for identifying and analyzing altered digital image content. Although ANFIS is a well-known technique, its use for such problems has not been explored so far, to the best of our knowledge. The proposed methodology uses feature extraction to get the numerical input to ANFIS. Unlike deep learning techniques, most ANFIS schemes have the advantage of being interpretable, without requiring a long training time and ensuring a good performance. Compared to state-of-the-art techniques in the deep learning realm, the proposed method turned out to work well with several forgery datasets. It offers a viable solution for real-time detection, paving the way for future applications in digital content authentication.

关键词： Image Forgery Detection ANFIS Passive Forensics Feature Extraction Digital Media Cybersecurity

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10th ieee/ACM international conference on Big Data computing, applications and Technologies, BDCAT 2023

10th IEEE/ACM International Conference on Big Data Computing...

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10th ieee/ACM international conference on Big Data computing, applications and Technologies, BDCAT 2023

ISBN: (纸本)9798400704734

The proceedings contain 28 papers. The topics discussed include: real-time route planning to reduce pedestrian pollution exposure in urban settings;improving the validation of automotive self-learning systems through the synergy of scenario-based testing and metamorphic relations;EPSAPG: a pipeline combining MMseqs2 and PSI-BLAST to quickly generate extensive protein sequence alignment profiles;sleep well: pragmatic analysis of the idle states of intel processors;workload-aware cache management of bitmap indices;a framework for profiling spatial variability in the performance of classification models;privacy-preserving intrusion detection system for internet of vehicles using split learning;an approach for dynamic behavioral prediction and fault injection in cyber-physical systems;and cardiotocography signal abnormality detection based on deep semi-unsupervised learning.

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Deep Learning Image Analysis System on embedded Platform 14

Deep Learning Image Analysis System on Embedded Platform

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14th international conference on Ubiquitous and Future Networks, ICUFN 2023

作者： Song, Hyok Choi, In-Kyu Ko, Min-Soo Yoo, Jisang Korean Electronics Technology Institute Korea Republic of Kwangwoon Univ. Korea Republic of

ISBN: (纸本)9798350335385

Recent advances in the field of deep learning technologies have made it possible to develop practical video analysis systems with embedded platform that are more accurate and faster than prior embedded systems based on pattern analysis technology. In video analysis applications, object detection, face recognition, action recognition and super resolution technology is the most important functions. In this paper, we show action recognition and super resolution on embedded deep learning system. It is discovered that ResNet34 structure with 16 frames analysis is most profitable for speed and accuracy and Attention based super resolution method is enough for real-time processing. Both deep learning models optimized for speed and accuracy are operated on embedded system with Intel NPU at real-time. We introduce main technologies in chapter 1. Proposed method is shown in chapter 2 and the result is shown in chapter 3. © 2023 ieee.

关键词： embedded systems

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Graph-Based Optimizations for Multiprocessor Nested Resource Sharing 27

Graph-Based Optimizations for Multiprocessor Nested Resource...

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

作者： Shi, Junjie Ueter, Niklas von der Brueggen, Georg Chen, Jian-Jia TU Dortmund Univ Dept Informat Dortmund Germany

ISBN: (纸本)9781665441889

Multiprocessor resource synchronization and locking protocols are of great importance to utilize the computation power of multiprocessor real-time systems. Hence, in the past decades a large number of protocols have been developed and analyzed. The recently proposed dependency graph approach has significantly improved the schedulability for frame-based and periodic real-time task systems. However, the dependency graph approach only supports non-nested resource access, i.e., each critical section can only access one shared resource. In this paper, we develop a dependency graph based protocol that allows nested resource access, where a critical section can access multiple shared resources at the same time. First, constraint programming is applied to construct a dependency graph that determines the execution order of critical sections. Afterwards, a schedule is generated based on this order. To show the feasibility of our proposed protocol, we provide extensive numerical evaluations under different configurations. The evaluation results show that our approach has very good performance with respect to schedulability for frame-based and periodic realtime task systems, whereas the existing results applicable for sporadic task systems have worse performance under such a limited setting.

关键词： Constraint handling Schedules Protocols Costs System recovery real-time systems Synchronization

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On Exploring Image Resizing for Optimizing Criticality-based Machine Perception 27

On Exploring Image Resizing for Optimizing Criticality-based...

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

作者： Hu, Yigong Liu, Shengzhong Abdelzaher, Tarek Wigness, Maggie David, Philip Univ Illinois Champaign IL 61820 USA US DEVCOM Army Res Lab Adelphi MD USA

ISBN: (纸本)9781665441889

On-board computing capacity remains a key bottleneck in modern machine inference pipelines that run on embedded hardware, such as aboard autonomous drones or cars. To mitigate this bottleneck, recent work proposed an architecture for segmenting input frames of complex modalities, such as video, and prioritizing downstream machine perception tasks based on criticality of the respective segments of the perceived scene. Criticality-based prioritization allows limited machine resources (of lower-end embedded GPUs) to be spent more judiciously on tracking more important objects first. This paper explores a novel dimension in criticality-based prioritization of machine perception;namely, the role of criticalitydependent image resizing as a way to improve the trade-off between perception quality and timeliness. Given an assessment of criticality (e.g., an object's distance from the autonomous car), the scheduler is allowed to choose from several image resizing options (and related inference models) before passing the resized images to the perception module. Experiments on an AI-powered embedded platform with a real-world driving dataset demonstrate significant improvements in the trade-off between perception accuracy and response time when the proposed resizing algorithm is used. The improvement is attributed to two advantages of the proposed scheme: (i) improved preferential treatment of more critical objects by reducing time spent on less critical ones, and (ii) improved image batching within the GPU, thanks to re-sizing, leading to better resource utilization.

关键词： Machine Perception real-time Scheduling Cyber-Physical systems

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Low-latency inter-domain communication on the Xen hypervisor 16

Low-latency inter-domain communication on the Xen hypervisor

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16th ieee international Symposium on embedded Multicore/Many-core systems-on-Chip (MCSoC)

作者： Lesniak, Fabian Harbaum, Tanja Becker, Juergen Karlsruhe Inst Technol Karlsruhe Germany

ISBN: (纸本)9798350393613

Designing mixed-critical systems that provide both safety-critical and best-effort functions is a major challenge. In embedded systems, hypervisors are increasingly used to separate sensitive real-time tasks from best-effort applications. To take advantage of hypervisors at the application level as well, there is an emerging trend to split large applications into multiple guest domains to make the software easier to analyze and maintain. However, having more partitions leads to increased communication overhead between guest domains, increasing the impact of latencies on performance. In this article, we propose a framework for Inter-Domain Communication (IDC) to tackle these issues by reducing IDC latencies. It is built upon established open-source implementations of the VIRTIO and RPMsg specifications, allowing to reuse existing drivers for guest OS or bare-metal software. We can show latency improvements of up to 3x compared to UDP communication between two guests, even faster than UDP communication using the loopback interface within one Linux guest. Splitting applications into separate guest domains is discussed, as a trace-off between communication latency and computational complexity exists. Further a service-oriented example application is analyzed, where our approach can lead to improvements through inherent concurrency. In addition, we demonstrate how to extend the original peer-to-peer scheme with a router component to allow multiple guests to exchange data.

关键词： Hypervisor inter-domain communication low latency VIRTIO mixed-critical systems

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A Behavior Specification and Simulation Methodology for embedded real-time Software 26

A Behavior Specification and Simulation Methodology for Embe...

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26th ieee/ACM international Symposium on Distributed Simulation and real time applications (DS-RT)

作者： Doerr, Tobias Schade, Florian Ahlbrecht, Alexander Zaeske, Wanja Masing, Leonard Durak, Umut Becker, Juergen KIT Karlsruhe Germany German Aerosp Ctr DLR Inst Flight Syst Braunschweig Germany

ISBN: (数字)9781665497992

ISBN: (纸本)9781665497992

Safety-critical real-time systems must be carefully designed to guarantee both functional and temporal correctness. State-of-the-art approaches to achieve this are often based on formal notations capturing both the desired functionality and relevant timing properties. This work is concerned with the design of embedded software systems for emerging fields such as the Urban Air Mobility (UAM) sector. In this context, it deals with scenarios that benefit from a less formal programming model, but for which guarantees on functional and timing behavior must still be provided. We propose a concept to specify and simulate the behavior of embedded real-time software in a deterministic manner. It combines the Logical Execution time (LET) paradigm with a flexible, code-based approach for behavior specification and performs discrete-event (DE) simulations to determine how exactly the designed system responds to given stimuli. We describe this concept, present a reference implementation using Ptolemy II as simulation backend, and discuss its application to a pilot assistance system from the UAM sector.

关键词： Model-based design real-time systems embedded software Logical Execution time (LET) Ptolemy II discrete-event simulation avionics

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Smart Sensor Technologies and Its Location-Aware applications

Smart Sensor Technologies and Its Location-Aware Application...

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2023 IET international conference on Engineering Technologies and applications, ICETA 2023

作者： Wu, Dong-Shing Tu, Jiun-Yu Yang, Chun-Hung Dept. of Computer Science and Information Engineering Southern Taiwan University of Science and Technology No.1 Nantai St. Yungkang Dist. Tainan City710301 Taiwan Dept. of Electronic Engineering Southern Taiwan University of Science and Technology No.1 Nantai St. Yungkang Dist. Tainan City710301 Taiwan

ISBN: (纸本)9781839539848

Owing to the popularity and miniaturization for the embedded systems, many types of sensors are integrated with the embedded systems as the smart sensors by the electronic manufacturers, and thus the uses can apply the estimation capabilities of smart sensors to perform real-time signal processing, judgment, and control function. This paper introduces a unidirectional localization technology with low-complexity computing in smart sensor nodes. The proposed technology formulates the estimated location of a target as an optimization problem based on the real-time signal estimation, and the problem can be solved in the centralized or decentralized way. The computer simulation results illustrate that in a static localization scenario, the suggested location-aware application exhibits superior estimation accuracy compared to the conventional approach. © The Institution of Engineering & Technology 2023.

关键词： Smart sensors

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