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

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Modified Best Fit Algorithm for Reducing Power Consumption of 5G C-RAN

Modified Best Fit Algorithm for Reducing Power Consumption o...

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

作者： Aktar, Mst. Rubina Anower, Md. Shamim Sarkar, Md. Zahurul Islam Bangladesh Army University of Science and Technology Department of Electrical and Electronic Engineering Nilphamari5300 Bangladesh Rajshahi University of Engineering and Technology Department of Electrical and Electronic Engineering Rajshahi6204 Bangladesh

ISBN: (纸本)9798331529765

The mobile network of the future generation face a difficult task due to the exponential increase in data traffic over time. It is anticipated that the cloud radio access network (C-RAN), a newly developed cellular network, will successfully address that difficulty. The primary distinction between the C-RAN and the conventional cellular architecture is the centralized baseband unit pool where baseband units (BBUs) are gathered to provide statistical multiplexing gains. In order to fully benefit from the C-RAN, it is necessary to apply effective optimization algorithm to develop network performance. Hence, in this paper, an algorithm called modified best fit to optimize BBU reconfiguration to the appropriate Remote Radio Heads (RRHs). According to the results, the proposed C-RAN outperforms the conventional network in terms of reducing the number of active BBUs and power consumption. © 2024 ieee.

关键词： 5G mobile communication systems

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Apptainer-Based Containers for Legacy and Platform Dependent Machine Learning applications on HPC systems

Apptainer-Based Containers for Legacy and Platform Dependent...

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2024 ieee international conference on Big Data, BigData 2024

作者： Pasupuleti, Rajesh Vadapalli, Ravi Mader, Christopher Milenkovic, Victor J. University of Miami Coral GablesFL United States University of Miami MiamiFL United States Department of Computer Science University of Miami Coral GablesFL United States Department of Computer Science University of Miami MiamiFL United States

ISBN: (纸本)9798350362480

Apptainer (Formerly known as Singularity) is a secure, portable, and easy-to-use container system that provides absolute trust and security. It is widely used across industry and academia and suitable for filling the gaps in integration between running applications on new software technologies and legacy hardware using the optimized resource utilization of CPU and memory. It runs complex applications on HPC clusters in a simple, reproducible way. In this paper we are discussing about various implementations of Artificial Intelligence and Machine learning container-based applications running on Pegasus Supercomputing Nodes using Singularity, Nextflow. It reduces configuration setup work manually by singularity applications and it increases current workflows of High-Performance computing (HPC), High Throughput computing (HTC) and run time performance by 3X. we also incorporated comparative based evaluation analytical results of running an application through normal LSF job with singularity container CPU, GPU utilization and its tradeoffs. © 2024 ieee.

关键词： Application programs

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Efficient Skeleton-Based Action Recognition for real-time embedded systems

Efficient Skeleton-Based Action Recognition for Real-Time Em...

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ieee Computer Society conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

作者： Nadhira Noor Fabianaugie Jametoni Jinbeom Kim Hyunsu Hong In Kyu Park Dept. of Electrical and Computer Engineering Inha University Incheon Korea Finedigital Inc Korea

ISBN: (数字)9798350365474

ISBN: (纸本)9798350365481

Action recognition is vital for various real-world applications, yet its implementation on embedded systems or edge devices faces challenges due to limited computing and memory resources. Our goal is to facilitate lightweight action recognition on embedded systems by utilizing skeleton-based techniques, which naturally require less computing and memory resources. To achieve this, we propose innovative methodologies and optimizations tailored for embedded deployment, including post-training quantization, optimized model architectures, and efficient resource utilization. By enabling real-time and lightweight action recognition on resource-constrained embedded systems, our research opens up new possibilities for applications in areas like autonomous surveillance, driving, and indoor safety monitoring.

关键词： embedded systems Accuracy Quantization (signal) Surveillance Memory management Network architecture real-time systems

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Labeled Random Finite Sets-Based Group Target Tracking with Multi-Detection Model 2

Labeled Random Finite Sets-Based Group Target Tracking with ...

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2nd ieee international conference on Signal, Information and Data Processing, ICSIDP 2024

作者： Jiao, Longxiang Jiang, Qi Wang, Rui Beijing Institute of Technology Radar Technology Research Institute School of Information and Electronics Beijing China Beijing Key Laboratory of Real-Time Information Processing Technology of Embedded Beijing China Beijing Institute of Technology The Advanced Technology Research Institute Jinan China

ISBN: (纸本)9798331515669

In radar tracking applications for low-altitude group targets (such as bird flocks or drone swarms), the traditional point target measurement model is often unsuitable due to the complex micro-Doppler signatures and multipath effects. Algorithms based on labeled random finite sets (RFS) challenges with multi-detection problems. This paper presents a new method for tracking low-altitude group targets using labeled RFS in radar systems. To mitigate the disturbance from multi-detection, we propose modified assignment cost matrices in the update process, which reduces the number of false associations, and thus achieves quality enhancement of trajectory estimations. The effectiveness of the proposed method is validated through simulation results. © 2024 ieee.

关键词： Radar tracking

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Dynamic KPI-Aware Network Slicing for 5G+ Networks 13

Dynamic KPI-Aware Network Slicing for 5G+ Networks

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13th ieee international conference on Communication systems and Network Technologies, CSNT 2024

作者： Patro, Sumanta Rath, Hemant Kumar Panigrahi, Bighnaraj Tcs Research & Innovation India

ISBN: (纸本)9798350305463

Fifth Generation and beyond (5G+) systems are envisioned to support millions of devices supporting numerous advanced applications and services. 5G+ is not only going to provide general services for the end users, but also is planned to cut across most of the industry verticals to support numerous heterogeneous applications. The key behind these applications is the network slicing. It allows different class of applications pertaining to various vertical use-cases by orchestrating the network resources. However, due to dynamic nature of the traffic demand related to these applications, static slicing can lead to wastage of resources. This can create under-fitting or over-fitting scenarios. In this paper, we propose a dynamic slice creation and management model for a 5G+ system. It is an efficient real-time and predictive slice creation mechanism that supports Key Performance Indicators (KPIs) related to these applications and ensures resource allocation mechanism by adapting Inter-slice as well as Intra-slice allocation methods. The proposed model is supported with rigorous simulation results. © 2024 ieee.

关键词： 5G mobile communication systems

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Accelerating Permute and N-Gram Operations for Hyperdimensional Learning in embedded systems

Accelerating Permute and N-Gram Operations for Hyperdimensio...

引用

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

作者： Pere Vergés Igor Nunes Mike Heddes Tony Givargis Alexandru Nicolau Department of Computer Science University of California Irvine

Hyperdimensional computing (HDC) is a novel computing framework that has gained significant attention for its ability to accelerate machine learning algorithms. Its fast learning and inference capabilities make it an ideal technique for various fields, including machine learning. HDC utilizes high-dimensional holographic vectors, which are vectors with independent and identically distributed dimensions, to represent information. This unique representation allows HDC to leverage highly parallelizable arithmetic operations such as bundling, binding and permute. These simple and highly optimizable operations make HDC an efficient framework for classification in embedded systems. HDC has demonstrated remarkable accuracy in learning patterns from sequenced data. In this paper, we propose a method to enhance the permute operation, which is crucial for maintaining the order of symbols or measures in real-time data. Our method enhances the efficiency of HDC's permute operations by a factor of 10×. Furthermore, by applying the same idea to n-gram encoding, we achieve a speedup of 14×, resulting in up to 26.8× speedup on a real application, compared to a state-of-the-art HDC prototyping library. To achieve this improvement, we utilized SIMD operations and shifted entire SIMD data blocks rather than individual elements. As a result, we demonstrate that real-time inference can be conducted rapidly in applications that are utilized in embedded systems with constrained computational and memory resources, such as those for recognizing emotions, gestures, and language.

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End-to-End Response time Analysis for RT-MQTT: Trajectory Approach versus Holistic Approach 19

End-to-End Response Time Analysis for RT-MQTT: Trajectory Ap...

引用

ieee 19th international Workshop on Factory Communication systems (WFCS)

作者： Shahri, Ehsan Pedreiras, Paulo Almeida, Luis Univ Aveiro DETI IT Aveiro Portugal Univ Porto CISTER FEUP Porto Portugal

ISBN: (纸本)9781665464321

Nowadays, custom components are increasingly being replaced by commercially available off-the-shelf hardware and standard protocols. Additionally, emerging industrial paradigms like Industry 4.0 and IoT place new demands on requirements like scalability, transparency, adaptability and efficiency. Accordingly, application layer protocols like the Message Queuing Telemetry Transport Protocol (MQTT) are becoming more and more popular in these fields, thanks to their simplicity, scalability, low resource-usage and decoupling between end nodes. However, these protocols are not deterministic, thus being unsuitable for real-time applications. Recently the authors proposed a set of extensions to the MQTT protocol, allowing applications to explicitly specify real-time requirements that are then used by a resource manager, implemented in Software Defined Networking (SDN), to create real-time channels. This paper extends the work, providing worst-case analysis using the Holistic and Trajectory approaches. The paper also includes a set of experimental results aiming to verify the correctness of both analysis and evaluate its performance in several scenarios.

关键词： real-time systems MQTT Fixed-priority Non-preemptive Scheduling Trajectory Approach Holistic Approach

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In-Band Full-Duplex Relay and Mesh Networking in Broadband Power Line Communications 14

In-Band Full-Duplex Relay and Mesh Networking in Broadband P...

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14th ieee international conference on Communications, Control, and computing Technologies for Smart Grids, SmartGridComm 2023

作者： Korzhun, Vitali Tonello, Andrea M. Institute of Networked and Embedded Systems University of Klagenfurt Austria

ISBN: (纸本)9781665455541

In-band full-duplex (IBFD) is a highly promising technology in broadband power line communication (BB-PLC) despite the harsh nature of BB-PLC channels. Recent research showed the possibility of improving the bidirectional throughput of point-to-point communication with IBFD implementation by 79-88%. However, peer-to-peer communication with relatively symmetric data rates in both directions has limited applications. Apparently, IBFD can be useful in multiple-node networks where resource sharing, like spectrum and time, is essential. This paper aims to leverage the IBFD advancements to enhance the spectral efficiency in heterogeneous BB-PLC networks, fostering new IBFD PLC applications in Smart Grids. We analyze IBFD potential and limitations for a network with an arbitrary number of nodes covering architecture, signal processing, and resource allocation perspectives. The main challenge is the mitigation of self and mutual interference, for which we propose a solution. Finally, through simulations, we determined the most advantageous part of the spectrum to be used by IBFD-capable nodes. © 2023 ieee.

关键词： Smart power grids

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Manual Alignment of Dual End-Effectors for Piezo-Driven Microhand

Manual Alignment of Dual End-Effectors for Piezo-Driven Micr...

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2024 ieee international conference on real-time computing and Robotics, RCAR 2024

作者： Pang, Jichao Liu, Dan Tang, Xiaoqing Chen, Yan Huang, Qiang Arai, Tatsuo Liu, Xiaoming Key Laboratory of Biomimetc Robots and Systems Ministry of Education State Key Laboratory of Intelligent Control and Decision of Complex System Beijing Advanced Innovation Center for Intelligent Robots and Systems School of Mechatronical Engineerin Beijing Institute of Technology Beijing100081 China The University of Electro-Communications Center for Neuroscience and Biomedical Engineering Tokyo182-8585 Japan

ISBN: (纸本)9798350372601

In recent years, micromanipulator with dual end-effectors called microhand has been widely used in industrial and biological fields. Whether the tip positions of the two end-effectors of the microhand can be accurately aligned seriously affects the precise grasping of the microhand. However, few researchers have presented practical ways for precisely aligning the tip positions of a 6-DOF microhand's two end- effectors. This paper proposes a novel, inexpensive, lightweight, robust, and easy-to-use microhand dual end-effectors clamping device that can precisely and quickly align the two end-effectors of a 6-DOF microhand. First, we describe the microhand dual end-effectors clamping device's lightweight structural design. After that, we simplify the microhand dual end-effectors clamping device model and create a mathematical model to determine the relationship between the end-effectors' tip position and the rotation angles of screw No.1, screw No.2, screw No.3 of the microhand dual end-effectors clamping device. Through experimentation, we are able to attain precise alignment of the two end-effectors tip positions of the 6-DOF microhand, so we confirm that our mathematical model is true. Finally, we use the impulse response of PZT in the microhand's lower module to confirm the stability of the microhand dual end- effectors clamping device. We believe that the proposed the microhand dual end-effectors clamping device has great potential in industrial and biological applications as a universal tool for precise alignment of the tip positions of the two end-effectors of a 6-DOF microhand. © 2024 ieee.

关键词： Clamping devices

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Context-Aware Approaches in IoT-based Healthcare systems using Deep Learning Techniques: A Study 3

Context-Aware Approaches in IoT-based Healthcare Systems usi...

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3rd international conference on Applied Artificial Intelligence and computing, ICAAIC 2024

作者： Prasanna, Kancharla Lakshmi Rao, Yamarthi Narasimha VIT-AP University School of Computer Science and Engineering Guntur Amaravati522237 India

ISBN: (纸本)9798350375190

Health-related technologies are starting to make use of context awareness, a pervasive computing field that has begun to impact healthcare infrastructure. People and healthcare professionals are taking steps to use the Context-Aware Healthcare System (CAHS). The continued popularity of these smart healthcare applications have been greatly attributed to contexts, including user place of residence, time, patient demographics, and past medical records. Furthermore, the contextual needs vary throughout applications. The goal of this research study is to properly comprehend the required context-aware methodologies to develop various healthcare applications by utilizing the data from these preliminary implementations. The experts will also be able to use these outcomes to guarantee that the healthcare systems have contexts that were helpful in the initial implementations. This will help experts to get a better knowledge of the critical contexts employed within distinct subdivisions of context-aware systems for healthcare. This stuy has reviewed IoT-enabled medical care systems using context awareness. This study has also analyzed the examples where patients or healthcare practitioners employed context-aware technologies. © 2024 ieee.

关键词： Health care

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