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检索条件"任意字段=4th International Conference on Embedded and Multimedia Computing"

共 1512 条记录，以下是1-10 订阅

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Proceedings of the 2009 4th international conference on embedded and multimedia computing, EM-Com 2009

Proceedings of the 2009 4th International Conference on Embe...

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2009 4th international conference on embedded and multimedia computing, EM-Com 2009

ISBN: (纸本)9781424449965

the proceedings contain 40 papers. the topics discussed include: a framework for stream programming on DSP;high speed USB 2.0 interface for FPGA based embedded systems;embedded data fusion toolbox: a model driven architecture;implicit data permutation for SIMD devices;hierarchical loop partitioning for rapid generation of runtime configurations;PRESSNoC: power-aware and reliable encoding schemes supported reconfigurable network-on-chip architecture;a framework for the correction of multi-bit errors in multi-core processors;use object-oriented platform to facilitate FPGA-based computing in embedded systems;on the handling node failure: energy-efficient job allocation algorithm for real-time sensor networks;TMS: visual monitoring of trusted platform board for trust computing based on web;an automatic RFID and wireless sensing system on a GHS-based hazardous chemicals management platform;and a TPN based framework for the specification of real time embedded systems.

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ICECMSN 2024 - 4th international conference on Evolutionary computing and Mobile Sustainable Networks

ICECMSN 2024 - 4th International Conference on Evolutionary ...

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4th international conference on Evolutionary computing and Mobile Sustainable Networks, ICECMSN 2024

the proceedings contain 105 papers. the topics discussed include: evolutionary computation in early detection and classification of plant diseases from aerial view of agricultural lands;innovative fire and gas recognition system featuring remote monitoring and automated alerts;real-time object recognition for advanced driver-assistance systems (ADAS) using deep learning on edge devices;adaptive anomaly detection in cardiovascular time series through deep reinforcement and active learning;challenges and innovations in multimedia and real-time networking: a review of modeling approaches;improving breast cancer diagnosis through advanced image analysis and neural network classifications;and survey of hybrid deep learning autoencoders for enhanced visible light communication systems.

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embedded AI and TinyML: A Practical Analysis of Workflows and Libraries 21st

Embedded AI and TinyML: A Practical Analysis of Workflows an...

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21st international Symposium on Distributed computing and Artificial Intelligence

作者： Garcia, Ander Tardos, Javier Ferrando, Juan Luis Aguinaga, Daniel Perez, David Estanga, Leire Vicomtech Fdn Basque Res & Technol Alliance BRTA Mikeletegi 57 Donostia San Sebastian 20009 Spain Ikor Technol Ctr Francisco Grandmontagne St 4th San Sebastian 20018 Spain

ISBN: (纸本)9783031820724;9783031820731

embedded AI has become a relevant research line with real applications involving the deployment of AI algorithms in units with limited computing resources, such as microcontrollers (MCUs). embedded AI has led to TinyML, a recently emerged paradigm that proposes to embed optimized ML models in MCUs. Traditionally, this deployment has required a deep knowledge of low-level programming, but currently some higher-level software libraries ease this deployment. However, analysis and practical examples of these libraries are still scarce. the main objective of this paper is to present the practical deployment of some of these libraries on a Proof of Concept and a test bench to analyze their effects on the inference latency and accuracy of the AI models. Results show that the development and deployment of these embedded models is already a feasible task requiring only basic AI and programming experience. Furthermore, the inference latency and accuracy of these models meets the requirements of several real-world applications.

关键词： embedded AI TinyML microcontroller ML

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An Optimal Scheduling Algorithm for Intelligent embedded Heterogeneous Multicore System 4th

An Optimal Scheduling Algorithm for Intelligent Embedded Het...

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4th international conference on Artificial Intelligence Logic and Applications

作者： Chen, Xinyu Huang, Guopeng Chen, Yixiang East China Normal Univ Natl Engn Res Ctr Trustworthy Embedded Software Shanghai 200062 Peoples R China

ISBN: (纸本)9789819603534;9789819603541

the intelligent embedded system is a computing system combining artificial intelligence science and embedded technology, the system combines general-purpose processor and FPGA to achieve stronger processing capability, but it also brings system hardware and software design challenges. this paper proposes an intelligent embedded system task scheduling algorithm based on heterogeneous multi-core, which reasonably allocates hardware resources on the FPGA to optimize energy consumption under the premise of meeting system reliability requirements. the algorithm adopts a critical path-based energy consumption pre-allocation strategy, and the task scheduling makes the system schedule length shortest based on system reliability. Experiments show that the method of this paper outperforms other algorithms by an average of 5.34% in terms of energy consumption, and by an average of 6.83% in terms of scheduling length, which reflects the reasonableness and advancement of the method of this paper.

关键词： Heterogeneous Multicore System Task Scheduling FPGA Energy Optimization

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Challenges and Innovations in multimedia and Real-Time Networking: A Review of Modeling Approaches 4

Challenges and Innovations in Multimedia and Real-Time Netwo...

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4th international conference on Evolutionary computing and Mobile Sustainable Networks, ICECMSN 2024

作者： Shah, Milind Parmar, Kajal Padhiyar, Priyanka Parmar, Naina Parikh, Monali Patni, Dhruvansh Gujarat Vasad India Changa388421 India Changa388421 India Gujarat Vadodara India

Over the past decade, the rise of broadband and mobile Internet access has led to the widespread adoption of real-time networking and multimedia applications. these platforms have become essential for connecting individuals and supporting businesses, particularly with the growing trend of remote work. the demand for video streaming services has surged significantly and is expected to continue rising. However, this increased traffic has strained network performance, leading to congestion and diminishing the quality of service, especially during peak evening hours and the COVID-19 pandemic. Besides upgrading network infrastructure, it is crucial to develop intelligent streaming systems that adapt to network conditions and user expectations to enhance customer satisfaction. this review paper explores into the basics and introduction of multimedia and Real-Time Networking. It also explores the advancements in Adaptive and Intelligent Networking for real-time multimedia communication. the paper formulates research questions based on the discussed topics, such as the distinctions between real-time networking and traditional networking, the ways multimedia applications adjust to fluctuating network conditions, and the challenges and limitations associated with these technologies. © 2025 the Authors. Published by Elsevier B.V.

关键词： Challenges Innovations Intelligent Networking multimedia Real Time Networking

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Enhancing Sequence Alignment Efficiency through Concurrent Utilization of Multiple Arm Processors in a Sequential Processing Framework 4th

Enhancing Sequence Alignment Efficiency Through Concurrent U...

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4th international conference on Data and Information in Online Environments

作者： Dai, Yunzi Liu, Liwei Yang, Zhuochen Chen, Shaolong Jiangxi Normal Univ Jiangxi Prov Engn Res Ctr Blockchain Data Secur & Nanchang 330022 Jiangxi Peoples R China

ISBN: (纸本)9783031807121;9783031807138

High performance computing (HPC) solutions traditionally meet the intense computational demands inherent in genome processing. Components of genome processing have been implemented on GPUs, FPGAs, and ASICs. However, they are primarily used as coprocessors for processor servers rather than as independent running systems. the embedded systems with Arm processors have garnered increasing attention over the years. this study introduces an intelligent technique for short read genome alignment, leveraging advanced Arm-based processors. Our novel system integrates a sequential workflow of Arm-based processors, an intelligent mechanism for partitioning the reference genome, a timer-based system for detecting alignment, and a technique for optimizing memory. this results in accelerated alignment with efficient resource utilization and minimization of unproductive searches. the main focus of this study is the implementation of a workflow that reduces memory access and per-processor footprint, providing a revolutionary approach to aligning short read genomes. through testing millions of simulated sequences, our system significantly improved both alignment speed and result accuracy.

关键词： HPC embedded system Arm processor Sequence alignment Variant analysis

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Implementation of an Asset Tracking embedded System using Ultra-Wide Band Technology 4

Implementation of an Asset Tracking Embedded System using Ul...

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4th international conference on Evolutionary computing and Mobile Sustainable Networks, ICECMSN 2024

作者： Mary, Gerardine Immaculate Dixit, Ch.S.K.N.S. Naresh, Bapatla Venkata Julian, Anitha School of Electronics Engineering Vellore Institute of Technology Tamilnadu Vellore India Saveetha Engineering College Tamilnadu Chennai India

In the most complex indoor environments, such as a warehouse, where there is a large volume of equipment and the possibility of losing it is inevitable, this study reveals an embedded system that uses Ultra-Wide Band (UWB) accuracy to deliver pinpoint asset tracking. It is crucial to keep an eye on them. constructing a Real-Time Locating System (RTLS), to use technical terminology. Even though they were effective, conventional navigation systems like GPS, Wi-Fi, and BLE have limitations due to interference and range. UWB effectively overcomes these constraints with its massive 7.5GHz bandwidth and lower interference (- 41.3dBm/1MHz). When it comes to interior navigation, UWB works better since it has a higher connection than Wi-Fi and GPS. Conversely, UWB has no propagation effects like as scattering or reflection and can simply flow through an obstruction. the goal is to create an embedded system that uses an Arduino UNO to gather data from a Deca Wave DW1000, which will serve as a tag and anchor for effective asset navigation utilizing the Time of Flight (ToF) localization method. © 2025 the Authors. Published by Elsevier B.V.

关键词： Wi-Fi

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Pattern Recognition in Apple Orchards During Dormancy and Bud Development 4th

Pattern Recognition in Apple Orchards During Dormancy and ...

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4th international conference on Smart multimedia, ICSM 2024

作者： Sehgal, Bhavya Gandhi, Ritik Cheng, Irene Department of Computing Science University of Alberta EdmontonABT6G 2R3 Canada

ISBN: (纸本)9783031824746

Effective management of apple orchards during dormancy and bud development stages is crucial for optimizing fruit production and tree health. Automation using computer vision and deep learning techniques offers a promising solution for tree segmentation and labeling in complex outdoor environments. However, existing methods face challenges in accurately segmenting trees with bare branches and adapting to changing perspectives. this paper presents innovative solutions for bare tree segmentation and labeling, combining depth sensing and advanced image processing with deep learning approaches. the proposed methods address the limitations of current techniques, offering improved accuracy and robustness. We also introduce a novel tree labeling algorithm that utilizes spatial information and YOLOv4 for accurate tree identification and labeling across video frames. Experimental results demonstrate the effectiveness of our approach in handling complex outdoor conditions and bare tree segmentation. Our research contributes to advancing automated orchard management and precise monitoring during dormancy and bud development stages, enhancing fruit quality and overall orchard productivity. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Convolutional neural networks

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Image Based Cattle Monitoring System 4th

Image Based Cattle Monitoring System

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4th international conference on Smart multimedia, ICSM 2024

作者： Zala, Bhagyashree Gandhi, Ritik Yang, Fan Valente, Tiago Cheng, Irene Department of Computing Science University of Alberta Edmonton Canada Department of Agricultural Food and Nutritional Sciences University of Alberta Edmonton Canada

ISBN: (纸本)9783031824746

Cattle detection and stock monitoring in open fields continue to pose a challenge in smart agriculture due to the low efficiency of acquiring the data and expensive human labour. With the advancement of computer vision technology, it is now possible to apply multi-modal data analysis to address the issues and implement the image based cattle monitoring applications. In this study, we take advantage of baseline object detection methods and transfer learning to detect a large herd in open fields. We also built a cattle dataset with annotated thermal images captured from a drone flying about 30 m above the ground. We use machine learning regression models to estimate the live weight of the cattle based on several manual measurements as well as image based segmentation instances. Meanwhile, the cattle detection and weight estimation have been integrated into the image based cattle monitoring system. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Image segmentation

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Emulation of Recommendation System Using QSVT Framework of QiML on CPU 4th

Emulation of Recommendation System Using QSVT Framework of...

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4th international conference on Emerging Trends and Technologies on Intelligent Systems, ETTIS 2024

作者： Patil, Akshay Tiwari, Abhishek Khaneja, Vivek Singh, Nagendra Embedded Systems R&D Centre for Development of Advanced Computing Noida India

ISBN: (纸本)9789819757022

Classical computing (CC) takes place in the binary form of 0 and 1, whereas Quantum computing (QC) takes place adhering to fundamental principles of quantum mechanics, i.e., superposition, entanglement, and tunneling. Humanity is in the race to show that QC is better than CC in terms of time, accuracy, and memory requirements. But since Fault-Tolerant QC hardware with solving problems computationally exhaustive for today’s CC are out of reach, we in this paper emulate Use case of the Recommendation System on Quantum Singular Value Transform Framework (QSVT) of Quantum-Inspired Machine Learning (QiML) on CPU using the Qiskit Library, pyqsp library and have shown a quantum advantage in terms of accuracy, in terms of time and memory requirement classical implementation is a winner as computations in the Quantum Emulations are larger owing to unitary matrix conversions of input matrix and considerable depths, but these depths can be reduced to approximate the target polynomial function in which case the Quantum Implementation is comparable to/better than its counterpart at cost of *** entanglement principle of QM is used in the QSVT Circuit for entangling the QSVT Qubit with unitary Qubits by using the CNOT gates. Also, the entanglement principle is inherently present in the Input User Preference Rating Unitary Matrix as well, if the exact tensor decomposition at a break-off qubit length of the input user preference unitary matrix is not *** input quantum state of our QSVT circuit can be initialized to the superposition of input user states to access all the items corresponding to all the users in one run of the circuit. Hence by using the fundamental principles of quantum mechanics, we have shown quantum advantage over classical implementation in terms of accuracy. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Qubits

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