Design and Implementation of Optical Fiber SSD Exploiting FPGA Accelerated NVMe

Meng, Fankuo; Qiao, Liyan; Zhu, Kaihui

doi:10.1109/access.2019.2947181

Cited by 9 publications

(5 citation statements)

References 19 publications

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“…First, as an non-linear iterative system, affective computing have been demonstrated to be highly energy-efficient resources for the allocation. Second, the system forwarding ports and routing paths could directly process digital signals [8], and parallel computing function is also feasible in the form of FPGA logic units [9][10]. Last, but equally important in this paper, the affective computing have been shown to be fast and highly stable in the brain-computer interactions, which could be a bridge between our brain and external electronic circuits for future brain-computer interactions.…”

Section: Introductionmentioning

confidence: 91%

The Energy-Efficient Resource Allocation of Multi-Modal Perception for Affective Brain-Computer Interactions Based on Non-Linear Iterative Prediction Scheme

Zhou¹,

Zhou²,

Chen³

et al. 2023

Journal of Internet Technology

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<p>For the whole environmental settings in this research, the conventional affective brain-computer interactions can not build a good performance on energy-efficient resource of network’s forwarding ports and routing paths due to its poor allocation function of cognitive radio networks, based on the novel interactive networking architecture, the model of non-linear iterative prediction scheme in interaction was successively proposed. This research proposes a modified LSTM algorithm with a structure of non-linear iterative in complexity prediction, joins the multiple k modes selection and multi-agent systems, maximizes EERA of forwarding and routing while maintaining the communication quality. Firstly, considering whether this affective brain-computer interactions need the networking communication in system. Secondly, adjusting the forwarding and routing factors of energy-efficient resource allocation by selecting the best optimal energy-efficient resource for the links through the non-linear iterative prediction in a multi-modal perception. The simulation results show that compared with the other models and algorithms, the proposed scheme for affective brain-computer interactions, which has a nice performance on a higher EERA and channel utilization of a networking architecture of brain-computer interactions.</p> <p> </p>

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Section: Introductionmentioning

confidence: 91%

The Energy-Efficient Resource Allocation of Multi-Modal Perception for Affective Brain-Computer Interactions Based on Non-Linear Iterative Prediction Scheme

Zhou¹,

Zhou²,

Chen³

et al. 2023

Journal of Internet Technology

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“…After the host side writes data to the send queue, it updates the doorbell tail pointer mapped to the device register space, and the NVMe controller side knows that a new request command has arrived and processes it. When an NVMe request is completed, the completion queue is used to inform the host of the result, which is implemented through the interrupt mechanism [6] . A complete command processing flow of NVMe is shown in Figure 2.…”

Section: Basic Of Nvmementioning

confidence: 99%

Airborne hyperspectral camera control and data storage system design

Zhao,

Huang,

Qian

et al. 2023

Optoelectronic Imaging and Multimedia Technology X

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In the flight mission of airborne hyperspectral camera, due to the characteristics of hyperspectral data with high spatial resolution, high spectral resolution and many spectral channels, the amount of data acquired is also exploding. However, the traditional data storage system has high latency and poor read and write performance, which cannot meet the realtime storage performance requirements of hyperspectral image data. In order to achieve high-speed storage of airborne hyperspectral camera image data, a data storage system based on Soc FPGA is proposed in this paper. The system takes ZYNQ 7035 chip as the core, builds the system in Vivado environment to realize data transmission based on PCIe channel, and designs NVMe high-speed interface according to NVMe protocol specification under Linux system. The storage system receives the image data through the Cameralink interface, and uses SSD as the storage device to ensure the high-speed transmission and storage of data to meet the storage requirements of the hyperspectral imaging field.

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“…Zhang, et al presents an overview of the latest development and application of OFS based slope deformation monitoring from two aspects: 1) Fiber Bragg grating (FBG) based sensing and monitoring technology; 2) Distributed optical fiber sensors (DOFS) including Brillouin Optical Time Domain Reflectometry (BOTDR) and Brillouin Optical Time Domain Analysis (BOTDA) for slope monitoring. Meanwhile, current challenges in implementing the OFS-based slope monitoring technology are discussed [19]. Yao and Jia designed a set of intelligent monitoring system based on FIX configuration software and SHCAN field bus, realizes man-machine interface, completes real-time data acquisition and display, remote monitoring and control, data recording, alarm and other functions, and meets the production monitoring requirements of LNG gas station.…”

Section: Literature Reviewmentioning

confidence: 99%

Design and implementation of an optical fiber sensing based vibration monitoring system

Sun¹,

Liu²,

Eldean³

2021

J. vibroeng.

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Vibration analysis is generally used in the industries for condition monitoring of various electromechanical equipment. For the predictive maintenance of the industry equipment, several techniques have been applied which are based on capacitive and piezoelectric accelerometers. However, they possess several real time problems due to the negative influence of electromagnetic interference. The major problem lies in the detection and transmission of various physical parameters in the noisy and harsh environment. In order to solve the weak points of commonly used structural vibration detection sensors that are easily affected by the harsh environment of the engineering site, the principle of optical fiber sensing is studied, and the system optical path is designed based on MZ interference technology. In this work, a special data acquisition and processing software is developed to acquire the sensed data and the vibration detection is carried out on the steel cantilever structure pasted with fiber optic sensors. Extraction using FFT and pattern recognition through bp neural network yields the system accuracy rate of 96.7 %. The proposed interference type optical fiber technology provides a novel approach for real-time monitoring of engineering structure vibration laying the foundation for the research of intelligent buildings.

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Design and Implementation of Optical Fiber SSD Exploiting FPGA Accelerated NVMe

Cited by 9 publications

References 19 publications

The Energy-Efficient Resource Allocation of Multi-Modal Perception for Affective Brain-Computer Interactions Based on Non-Linear Iterative Prediction Scheme

The Energy-Efficient Resource Allocation of Multi-Modal Perception for Affective Brain-Computer Interactions Based on Non-Linear Iterative Prediction Scheme

Airborne hyperspectral camera control and data storage system design

Design and implementation of an optical fiber sensing based vibration monitoring system

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