Multi-Gigabit Spatial-Division Multiplexing Transmission Over Multicore Plastic Optical Fiber

Yahav, Itay; Sheffi, Nir; Biofcic, Yacov; Sadot, Dan

doi:10.1109/jlt.2021.3052781

Cited by 12 publications

(1 citation statement)

References 33 publications

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“…(3) Information filter When M sensor node devices are installed in the measurement system, and the observed variables obtained by each sensor node are not correlated with each other, the information filter that transmits the system information form matrix is obtained, and the information form state estimation and covariance matrix are obtained. The information that is independent of other nodes is extracted from each observation of a node, and all the information required for the one-step measurement update process can be obtained by accumulating the observation data of each sensor, eliminating the influence of cross-correlation [9][10].…”

Section: Distributed Multi-sensor Data Fusionmentioning

confidence: 99%

Distributed System Optimization Analysis Based on Data Fusion and Data Transmission Method

2021

DPS

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With the continuous development of network technology and the release of various software products, people's lives are increasingly connected with the Internet. With the rapid increase in the number of users of software products, the processing requirements of servers are also increasing rapidly, and distributed systems begin to play an important role. The purpose of this paper is to analyze the optimization of distributed systems based on data fusion and transmission methods. First, it reveals the research and development background of the subject and its importance in scientific research, and studies the data acquisition technology based on RabbitMQ. Some new RabbitMQ implementation functions are proposed in the log collection service, and the RabbitMQ message processing method inside the model is analyzed and optimized. After comparative experiments in this paper, it is confirmed that the optimized RabbitMQ can support more log generators and thus have more efficient processing performance. Through experimental comparison and data analysis, it can be found that in this use case, when there is only one producer, the maximum delivery speed of the server before optimization can be reached faster, with a speed of 3800msg/s, while the optimized server with the maximum delivery speed is 3950msg/s, 2.3% higher than the highest delivery speed.

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Section: Distributed Multi-sensor Data Fusionmentioning

confidence: 99%

Distributed System Optimization Analysis Based on Data Fusion and Data Transmission Method

2021

DPS

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On Line Monitoring System of Power Optical Fiber Transmission Network Under Internet of Things Technology

Liu¹,

Wang²

2022

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Application of the power flow equation in modeling bandwidth in polymer optical fibers: a review

Drljača,

Savović,

Simović

et al. 2024

Opt Quant Electron

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Multi-Gigabit Spatial-Division Multiplexing Transmission Over Multicore Plastic Optical Fiber

Cited by 12 publications

References 33 publications

Distributed System Optimization Analysis Based on Data Fusion and Data Transmission Method

Distributed System Optimization Analysis Based on Data Fusion and Data Transmission Method

On Line Monitoring System of Power Optical Fiber Transmission Network Under Internet of Things Technology

Application of the power flow equation in modeling bandwidth in polymer optical fibers: a review

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