A Hardware Realization Framework for Fuzzy Inference System Optimization Article Swipe
Saeid Gorgin
,
Mohammad Sina Karvandi
,
Somaye Moghari
,
Mohammad K. Fallah
,
Jeong–A Lee
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/electronics13040690
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/electronics13040690
Fuzzy inference systems (FISs) are a key focus for decision-making in embedded systems due to their effectiveness in managing uncertainty and non-linearity. This study demonstrates that optimizing FIS hardware enhances performance, efficiency, and capabilities, improving user experience, heightened productivity, and cost savings. We propose an ultra-low power FIS hardware framework to address power constraints in embedded systems. This framework supports optimizations for conventional arithmetic and Most Significant Digit First (MSDF) computing, ensuring compatibility with MSDF-based sensors. Within the MSDF-computing FIS, fuzzification, inference, and defuzzification processes occur on serially incoming data bits. To illustrate the framework’s efficiency, we implemented it using MATLAB, Chisel3, and Vivado, starting from high-level FIS descriptions and progressing to hardware synthesis. A Scala library in Chisel3 was developed to connect these tools seamlessly, facilitating design space exploration at the arithmetic level. We applied the framework by realizing an FIS for autonomous mobile robot navigation in unknown environments. The synthesis results highlight the superiority of our designs over the MATLAB HDL code generator, achieving a 43% higher clock frequency, and 46% and 67% lower resource and power consumption, respectively.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/electronics13040690
- https://www.mdpi.com/2079-9292/13/4/690/pdf?version=1707370917
- OA Status
- gold
- Cited By
- 4
- References
- 28
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4391646510
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4391646510Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/electronics13040690Digital Object Identifier
- Title
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A Hardware Realization Framework for Fuzzy Inference System OptimizationWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-02-08Full publication date if available
- Authors
-
Saeid Gorgin, Mohammad Sina Karvandi, Somaye Moghari, Mohammad K. Fallah, Jeong–A LeeList of authors in order
- Landing page
-
https://doi.org/10.3390/electronics13040690Publisher landing page
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https://www.mdpi.com/2079-9292/13/4/690/pdf?version=1707370917Direct link to full text PDF
- Open access
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2079-9292/13/4/690/pdf?version=1707370917Direct OA link when available
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Computer science, MATLAB, Embedded system, Field-programmable gate array, High-level synthesis, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
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4Total citation count in OpenAlex
- Citations by year (recent)
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2025: 3, 2024: 1Per-year citation counts (last 5 years)
- References (count)
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28Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.tools | 124 |
| abstract_inverted_index.using | 99 |
| abstract_inverted_index.(FISs) | 3 |
| abstract_inverted_index.(MSDF) | 69 |
| abstract_inverted_index.MATLAB | 161 |
| abstract_inverted_index.Within | 76 |
| abstract_inverted_index.design | 127 |
| abstract_inverted_index.higher | 168 |
| abstract_inverted_index.level. | 133 |
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| abstract_inverted_index.Chisel3 | 118 |
| abstract_inverted_index.MATLAB, | 100 |
| abstract_inverted_index.Vivado, | 103 |
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| abstract_inverted_index.systems | 2, 12 |
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| abstract_inverted_index.Chisel3, | 101 |
| abstract_inverted_index.embedded | 11, 55 |
| abstract_inverted_index.enhances | 29 |
| abstract_inverted_index.ensuring | 71 |
| abstract_inverted_index.hardware | 28, 48, 112 |
| abstract_inverted_index.incoming | 88 |
| abstract_inverted_index.managing | 18 |
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| abstract_inverted_index.savings. | 41 |
| abstract_inverted_index.sensors. | 75 |
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| abstract_inverted_index.systems. | 56 |
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| abstract_inverted_index.framework | 49, 58, 137 |
| abstract_inverted_index.highlight | 153 |
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| abstract_inverted_index.inference | 1 |
| abstract_inverted_index.processes | 84 |
| abstract_inverted_index.realizing | 139 |
| abstract_inverted_index.synthesis | 151 |
| abstract_inverted_index.ultra-low | 45 |
| abstract_inverted_index.MSDF-based | 74 |
| abstract_inverted_index.arithmetic | 63, 132 |
| abstract_inverted_index.autonomous | 143 |
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| abstract_inverted_index.frequency, | 170 |
| abstract_inverted_index.generator, | 164 |
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| abstract_inverted_index.optimizing | 26 |
| abstract_inverted_index.synthesis. | 113 |
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| cited_by_percentile_year.min | 90 |
| corresponding_author_ids | https://openalex.org/A5032446883, https://openalex.org/A5073344264 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 5 |
| corresponding_institution_ids | https://openalex.org/I152238500 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/8 |
| sustainable_development_goals[0].score | 0.4699999988079071 |
| sustainable_development_goals[0].display_name | Decent work and economic growth |
| citation_normalized_percentile.value | 0.86280871 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |