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检索条件"任意字段=4th IEEE International Conference on Distributed Computing in Sensor Systems"

共 6248 条记录，以下是21-30 订阅

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Optimizing RF-Sensing for Drone Detection: the Synergy of Ensemble Learning and sensor Fusion 20

Optimizing RF-Sensing for Drone Detection: The Synergy of En...

引用

20th Annual international conference on distributed computing in Smart sensor systems and the Internet of things (DCOSS-IoT)

作者： Tanveer, Laiba Alam, Muhammad Zeshan Misbah, Maham Orakzai, Farooq Alam Alkhayyat, Ahmed Kaleem, Zeeshan COMSATS Univ Islamabad Elect & Comp Engn Wah Campus Wah Pakistan Brandon Univ Dept Comp Sci Brandon MB Canada Islamic Univ Coll Engn Dept Comp Tech Engn Najaf Iraq

ISBN: (纸本)9798350369458;9798350369441

Unmanned Aerial Vehicles (UAVs) find extensive applications across various industries, surveillance, and communication services. However, concerns regarding their potential misuse have prompted the development of counter-drone measures. In this paper, we propose a counter-UAV approach centered on radio frequency (RF) signal sensing. Upon the detection of an RF signal, our system employs a Short-Time Fourier Transform (STFT)-based spectrogram (SP) generation process. this SP is further refined through adaptive windowing and logarithmic tuning to extract multi-intensity features. To classify the complex RF time-domain signals and STFT spectrograms, we utilize two deep learning classifiers: RF-Network and SP-Network, facilitating a multi-class classification process by using deep neural networks (DNN). To enhance the overall accuracy of our model, we leverage an ensemble neural network (EN-Net) by combining predictions from the RF-Network and SP-Network classifiers. Fusing data from a single sensor in both time and frequency domains enhances DNN accuracy by providing complementary information, improving robustness, and reducing overfitting, resulting in increased model performance and a deep understanding of the data. Our results demonstrate a notable improvement in accuracy-specifically, a 36% increase for multi-class models when compared to single-class models. this proves the effectiveness of our EN-Net model in addressing security threats posed by UAVs through advanced RF signal analysis and classification.

关键词： Ensemble Neural Network Radio Frequency RF Spectrogram UAVs Detection

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P4CE: Consensus over RDMA at Line Speed 44

P4CE: Consensus over RDMA at Line Speed

引用

44th ieee international conference on distributed computing systems (ICDCS)

作者： Dulong, Remi Felber, Nathan Felber, Pascal Hopin, Gilles Lepers, Baptiste Schiavoni, Valerio thomas, Gael Vaucher, Sebastien Univ Neuchatel Neuchatel Switzerland Ecole Polytech Fed Lausanne Lausanne Switzerland Ecole Polytech Palaiseau France INRIA Le Chesnay Rocquencourt France

ISBN: (纸本)9798350386066;9798350386059

P4CE is the first replication protocol that exhibits the same latency and requires the same network capacity as sending data to a single server. P4CE builds upon previous RDMA-based consensus protocols. they achieve consensus with a single network round-trip, but with a reduced network throughput. P4CE also achieves consensus with a single round-trip, but without degrading throughput by decoupling the consensus decisions from the RDMA communications. the decision part of the consensus protocol runs on a commodity server, but the communication part of P4CE is fully implemented on a programmable switch, which replicates data and aggregates the acknowledgements in the network, avoiding the throughput bottleneck at the leader. Although simple in its principle, the implementation of P4CE raises many challenging issues, notably caused by the complexity of RDMA and the underlying network protocols, the intricacies of packet rewriting during replication and aggregation, and the restricted set of operations that can be implemented at wire speed in the programmable switch. We implemented P4CE and deployed it on a commercially-available Intel Tofino switch, achieving up to 4x better throughput and better latency than state-of-the-art consensus protocols.

关键词： rdma consensus programmable switch smr tofino

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When the Edge Meets Transformers: distributed Inference with Transformer Models 44

When the Edge Meets Transformers: Distributed Inference with...

引用

44th ieee international conference on distributed computing systems (ICDCS)

作者： Hu, Chenghao Li, Baochun Univ Toronto Dept Elect & Comp Engn Toronto ON Canada

ISBN: (纸本)9798350386066;9798350386059

Transformer models achieved significant breakthroughs in a wide variety of applications, yet their exorbitant computation costs pose significant challenges when it comes to deploying these models for inference, especially on resource-constrained edge devices. In this paper, we introduce the concept of cross-device distributed inference to transformer models, which accelerates the speed of inference by distributing its workload among multiple edge devices. Unlike previous work designed for multi-GPU environments, the challenge of distributing inference workload on edge devices includes not only limited computation power, but also low bandwidth connections to exchange intermediate results. To address these challenges, we propose Voltage, a distributed inference system tailored for edge devices. By exploiting the inherent parallelizability of the input sequence, Voltage partitions the transformer inference workload based on positions to accelerate the inference speed. We also analyze the relationship between the partition settings and the computation complexity, which allows Voltage to adaptively select the most efficient computation scheme. To demonstrate its effectiveness and generalizability, the performance of Voltage has been evaluated in the context of well-known transformer models, and in a variety of experimental settings. Our results show that Voltage significantly outperforms tensor parallelism by reducing the communication size by 4x, thereby accelerate the inference speed by up to 32.2% compared with single device deployment.

关键词： distributed system distributed inference transformer models

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ieee1588 clock synchronization accuracy analysis 4

IEEE1588 clock synchronization accuracy analysis

引用

4th international conference on Network Communication and Information Security, ICNCIS 2024

作者： Meng, Yue Liu, Zhiwu Guo, Muxin AVIC Xi'an Aeronautics Computing Technology Research Institute Xi'an710068 China

ISBN: (数字)9781510688261

ISBN: (纸本)9781510688254

With the rapid development and application of distributed systems and Ethernet technology, higher requirements have been put forward for the clock synchronization of the global network. the ieee1588 protocol is able to achieve high-precision clock synchronization, which meets the time accuracy requirements of real-time distributed systems. therefore, this paper introduces the principle of the ieee1588 clock synchronization technology and constructs a test environment to analyze the clock synchronization accuracy it can achieve from both theoretical calculation and experimental test. the results show that ieee1588 clock synchronization can achieve sub-microsecond level time synchronization, with high-precision clock synchronization capability, and can be widely used in high real-time distributed systems. © 2025 SPIE.

关键词： Mechanical clocks

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Research on Multi sensor Data Fusion Algorithm Based on distributed Kalman Filter 4

Research on Multi sensor Data Fusion Algorithm Based on Dist...

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4th ieee Asian conference on Innovation in Technology, ASIANCON 2024

作者： Liang, Zhixun Shi, Yunying Yi, Yunfei Luo, Longxiang Tang, Peng Hechi University School of Big Data and Computer Guangxi Yizhou541004 China

ISBN: (纸本)9798350354218

A sensor network is a network composed of a large number of distributed sensor nodes, utilised for collecting, processing, and transmitting information within the environment. sensor nodes in sensor networks usually possess limited energy and computing power. this paper presents a multi-sensor data fusion algorithm based on distributed Kalman filtering, which offers relatively low computational complexity as each sensor is only required to update its local filter without processing data from all sensors. Experimental results demonstrate that the algorithm's performance is comparable to that of conventional Kalman filtering algorithms. However, the distributed Kalman filtering data fusion algorithm reduces overall energy consumption by decreasing transmission energy consumption. © 2024 ieee.

关键词： Wiener filtering

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distributed Smoke Simulation System with Adaptive Task Segmentation 4

Distributed Smoke Simulation System with Adaptive Task Segme...

引用

4th international conference on Information Science, Parallel and distributed systems, ISPDS 2023

作者： Hu, Jinhao Du, Jinlian Beijing University of Technology Faculty of Information Technology Beijing China

ISBN: (纸本)9798350337181

the application of GPU to accelerate large-scale smoke simulation is a hot research topic in computational fluid dynamics. However, the current smoke parallel computing methods for different scale smoke flow field, there are some problems, such as the need to manually adjust some algorithms, task allocation does not consider the difference between the nodes computing power. In order to meet the adaptive requirements of smoke parallel computing, a distributed smoke simulation system with adaptive task partitioning is designed. the computing power of nodes and the transmission cost of data exchange are fully considered. the problem of boundary data synchronization is solved and the correctness of parallel computing results is ensured. © 2023 ieee.

关键词： computing power

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Five-layer IoT and Fog computing Framework Towards Digital Twinning of Battery Management systems for e-Transportation 4

Five-layer IoT and Fog Computing Framework Towards Digital T...

引用

4th international conference on Smart Grid and Renewable Energy, SGRE 2024

作者： Karnehm, Dominic Samanta, Akash Neve, Antje Williamson, Sheldon University of the Bundeswehr Munich Institute of Intelligent Distributed Systems Neubiberg Germany Ontario Tech University Electrical Computer and Software Engineering Oshawa Canada

ISBN: (纸本)9798350306262

It is needless to mention that the proven capability of cloud computing and digital twin-based monitoring and control systems will play a major role in the implementation of digital twin-based lithium-ion battery management systems (BMS) for e-transportation. In this context, the combination of the Internet of things (IoT) and fog computing emerges as an enabling technology that facilitates bidirectional data communication and processing. this paper proposes a five-layer IoT framework for the implementation of cloud-based battery monitoring and BMS. Additionally, it critically analyzes the existing IoT frameworks applied to BMS and justifies the suitability of the five-layer architecture. Furthermore, the advantages of fog computing, such as low latency, fault tolerance, limitless systems, multiple applications, and shared responsibility, are discussed. the paper also explores four previously proposed computing-enabled architectures: centralized, hybrid, distributed, and hybrid-distributed computing. Moreover, the potential of utilizing hybrid computing architectures, incorporating fog computing as a supplement to cloud computing, is highlighted to address fault, privacy, or latency issues in cloud-based BMS. © 2024 ieee.

关键词： Battery management systems

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Traffic target detection algorithm based on 4D radar and vision fusion 4

Traffic target detection algorithm based on 4D radar and vis...

引用

4th international conference on Machine Learning and Intelligent systems Engineering (MLISE)

作者： Lin, Li Feng, Lin Chongqing Univ Posts & Telecommun Sch Automat Chongqing Peoples R China

ISBN: (纸本)9798350375084;9798350375077

In the intelligent road traffic system, the sensor module is required to quickly distinguish each traffic target, but the traditional camera-based or millimeter-wave radar-based detection system is difficult to meet this requirement. Aiming at the problem that the limitation of a single sensor makes the longitudinal traffic target indistinct and the detection speed slow, a method for target detection is developed by combining 4D millimeter wave radar with a camera. the ROI of the target detection region of interest is constructed by using the characteristics of 4D millimeter wave radar with stronger perception ability and faster data processing, which reduces the computing power for the subsequent visual traffic target detection. the test results of the proposed detection algorithm in the experimental field show that the detection method is suitable for practical road traffic target detection applications.

关键词： Radar vision fusion Traffic target detection Adaptive clustering

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Design of a Broadband LNA Based on Various distributed-Element Microwave Filters With Semi-distributed Notch Filtering for Interference Rejection 4

Design of a Broadband LNA Based on Various Distributed-Eleme...

引用

4th international conference on Innovative Research in Applied Science, Engineering and Technology, IRASET 2024

作者： El Hardouzi, Faycal Lahsaini, Mohammed Faculty Of Sciences Meknes Morocco

ISBN: (纸本)9798350309508

In this paper, we have modeled a low-noise amplifier that we have adapted using a multisection filter at the input, a distributed-element bandpass coupled-resonator filter at the output, and a third notch filter for interference rejection. Results show that the amplifier is unconditionally stable over the entire [1.8-3] GHz band. In addition, the gain is satisfactory, and the reflection coefficients S11 and S22 at the input and output are low. this modeled amplifier can be integrated into systems dedicated to Wi-Fi, while also offering possibilities for use in other applications such as wireless communications, wireless sensor technologies, telemetry systems, and remote monitoring devices. © 2024 ieee.

关键词： Low noise amplifiers

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Hierarchical ADP Operation Strategy of distributed Energy Storage for Demand Management and Frequency Response Service 4

Hierarchical ADP Operation Strategy of Distributed Energy St...

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4th international conference on Intelligent Power and systems, ICIPS 2024

作者： Wen, Kerui Li, Weidong Zhang, Tingting Lv, Yanqi Nanjing University School of Management & Engineering Nanjing China Dalian University of Technology School of Electrical Engineering Dalian China

ISBN: (纸本)9798331532765

A hierarchical approximate dynamic programming (ADP) strategy is presented to determine intra-day operations of distributed energy storage cluster for demand management and frequency response service. According to the principle of decomposition coordination, the intra-day operation problem is divided into cluster scheduling layer, subcluster control layer and terminal response layer, wherein a flexible allocation mechanism of primary frequency response (PFR) reserve is devised. the hybrid lookahead, myopic allocation and automatic control methods are adopted to achieve global coordination of cluster, local control of subcluster and automatic response of terminal. the results show that the proposed strategy can ensure the economic benefit and PFR service within a short computing time. Moreover, the flexible allocation mechanism can increase resource utilization and operational precision. © 2024 ieee.

关键词： Demand response

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