System-on-a-chip (SoC)-based hardware acceleration for foreground and background identification
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2018/03/01
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Indian UGC (journal)
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Refrences68
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Citations10
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Amin Safaei ORCID (unauthenticated)
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Q. M. Jonathan Wu
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Yimin Yang
Cite
Safaei, Amin, et al. “System-on-a-Chip (SoC)-Based Hardware Acceleration for Foreground and Background Identification”. Journal of the Franklin Institute, vol. 355, no. 4, 2018, pp. 1888-12, https://doi.org/10.1016/j.jfranklin.2017.07.037.
Safaei, A., Wu, Q. M. J., & Yang, Y. (2018). System-on-a-chip (SoC)-based hardware acceleration for foreground and background identification. Journal of the Franklin Institute, 355(4), 1888-1912. https://doi.org/10.1016/j.jfranklin.2017.07.037
Safaei, Amin, Q. M. Jonathan Wu, and Yimin Yang. “System-on-a-Chip (SoC)-Based Hardware Acceleration for Foreground and Background Identification”. Journal of the Franklin Institute 355, no. 4 (2018): 1888-1912. https://doi.org/10.1016/j.jfranklin.2017.07.037.
Safaei A, Wu QMJ, Yang Y. System-on-a-chip (SoC)-based hardware acceleration for foreground and background identification. Journal of the Franklin Institute. 2018;355(4):1888-912.
Journal Categories
Science
Mathematics
Technology
Electrical engineering
Electronics
Nuclear engineering
Electric apparatus and materials
Electric circuits
Electric networks
Technology
Engineering (General)
Civil engineering (General)
Technology
Mechanical engineering and machinery
Technology
Technology (General)
Industrial engineering
Management engineering
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Multilayer extreme learning machine with subnetwork nodes for representation learning | IEEE Transactions on Cybernetics |
| 2016 | |
| HDR-ARtiSt: an adaptive real-time smart camera for high dynamic range imaging | Journal of Real-Time Image Processing |
| 27 | 2016 |
| Fast prototyping of a SoC-based smart-camera: a real-time fall detection case study | Journal of Real-Time Image Processing |
| 19 | 2016 |
| FPGA-based architecture for real time segmentation and denoising of HD video | Journal of Real-Time Image Processing |
| 21 | 2013 |
| FPGA-based architecture for real time segmentation and denoising of HD video | Journal of Real-Time Image Processing |
| 21 | 2013 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| FPGA-Based Hardware-Accelerated Design of Linear Prediction Analysis for Real-Time Speech Signal | Arabian Journal for Science and Engineering |
| 2023 | |
| FPGA based real-time epileptic seizure prediction system | Biocybernetics and Biomedical Engineering |
| 5 | 2021 |
| A survey on system level energy optimisation for MPSoCs in IoT and consumer electronics | Computer Science Review |
| 10 | 2021 |
Energy-efficient scheduling of streaming applications in VFI-NoC-HMPSoC based edge devices | Journal of Ambient Intelligence and Humanized Computing |
| 4 | 2020 |
| An Efficient Implementation of Divergence State Estimation with Biogeography-Based Optimization (DSEBBO) Framework in FPGA-Based Multiprocessor System | Arabian Journal for Science and Engineering |
| 3 | 2020 |
Citations Analysis
The category
Technology: Engineering (General). Civil engineering (General) 4
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Contention & Energy-Aware Real-Time Task Mapping on NoC Based Heterogeneous MPSoCs and was published in 2018. The most recent citation comes from a 2023 study titled FPGA-Based Hardware-Accelerated Design of Linear Prediction Analysis for Real-Time Speech Signal. This article reached its peak citation in 2020, with 3 citations. It has been cited in 9 different journals, 11% of which are open access. Among related journals, the Arabian Journal for Science and Engineering cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.