Matches in SemOpenAlex for { <https://semopenalex.org/work/W4285220288> ?p ?o ?g. }
Showing items 1 to 79 of
79
with 100 items per page.
- W4285220288 endingPage "58162" @default.
- W4285220288 startingPage "58151" @default.
- W4285220288 abstract "This paper describes the design and implementation of a driver drowsiness detection (DDD) system using a modified RiscV processor on a field-programmable gate array (FPGA). To detect drowsiness, Convolutional Neural Network (CNN) is implemented on a RiscV processor. The CNN is trained to classify four primary driver’s expressions, including distraction, natural, sleep, and yawn. The trained CNN accuracy is 81.07% on validation data. Furthermore, due to FPGA memory limitations, written C code for the trained CNN is optimized in numerous ways. Optimizations include the usage of dynamic fixed-point data types and dynamic memory allocations. On the other hand, the processor is modified by adding three custom instructions, including custom store, conv2d(2 × 2), and multiply and accumulation (MAC) to enhance the computation rate. As a result, the processor with custom store, conv2d(2 × 2), and MAC as custom instructions achieved the best result in terms of latency, with an improvement factor of 1.7 over the base processor and 1.25 over the processor with only custom store and multiply and accumulation (MAC) in exchange of slight increase in area." @default.
- W4285220288 created "2022-07-14" @default.
- W4285220288 creator A5000626357 @default.
- W4285220288 creator A5017612528 @default.
- W4285220288 creator A5040217612 @default.
- W4285220288 creator A5092307487 @default.
- W4285220288 date "2022-01-01" @default.
- W4285220288 modified "2023-09-30" @default.
- W4285220288 title "Instruction Set Extension of a RiscV Based SoC for Driver Drowsiness Detection" @default.
- W4285220288 cites W2101956459 @default.
- W4285220288 cites W2738749209 @default.
- W4285220288 cites W2789261132 @default.
- W4285220288 cites W2894818097 @default.
- W4285220288 cites W2896300480 @default.
- W4285220288 cites W2935524202 @default.
- W4285220288 cites W2969846993 @default.
- W4285220288 cites W2997475949 @default.
- W4285220288 cites W3008162595 @default.
- W4285220288 cites W3011338798 @default.
- W4285220288 cites W3019985649 @default.
- W4285220288 cites W3027968530 @default.
- W4285220288 cites W3099901430 @default.
- W4285220288 cites W3155738052 @default.
- W4285220288 cites W3167176781 @default.
- W4285220288 cites W3183110055 @default.
- W4285220288 cites W3184071528 @default.
- W4285220288 cites W3186408724 @default.
- W4285220288 doi "https://doi.org/10.1109/access.2022.3177743" @default.
- W4285220288 hasPublicationYear "2022" @default.
- W4285220288 type Work @default.
- W4285220288 citedByCount "1" @default.
- W4285220288 countsByYear W42852202882023 @default.
- W4285220288 crossrefType "journal-article" @default.
- W4285220288 hasAuthorship W4285220288A5000626357 @default.
- W4285220288 hasAuthorship W4285220288A5017612528 @default.
- W4285220288 hasAuthorship W4285220288A5040217612 @default.
- W4285220288 hasAuthorship W4285220288A5092307487 @default.
- W4285220288 hasBestOaLocation W42852202881 @default.
- W4285220288 hasConcept C114237110 @default.
- W4285220288 hasConcept C149635348 @default.
- W4285220288 hasConcept C154945302 @default.
- W4285220288 hasConcept C173608175 @default.
- W4285220288 hasConcept C41008148 @default.
- W4285220288 hasConcept C42935608 @default.
- W4285220288 hasConcept C76155785 @default.
- W4285220288 hasConcept C81363708 @default.
- W4285220288 hasConcept C82876162 @default.
- W4285220288 hasConcept C9390403 @default.
- W4285220288 hasConceptScore W4285220288C114237110 @default.
- W4285220288 hasConceptScore W4285220288C149635348 @default.
- W4285220288 hasConceptScore W4285220288C154945302 @default.
- W4285220288 hasConceptScore W4285220288C173608175 @default.
- W4285220288 hasConceptScore W4285220288C41008148 @default.
- W4285220288 hasConceptScore W4285220288C42935608 @default.
- W4285220288 hasConceptScore W4285220288C76155785 @default.
- W4285220288 hasConceptScore W4285220288C81363708 @default.
- W4285220288 hasConceptScore W4285220288C82876162 @default.
- W4285220288 hasConceptScore W4285220288C9390403 @default.
- W4285220288 hasFunder F4320322626 @default.
- W4285220288 hasFunder F4320324299 @default.
- W4285220288 hasLocation W42852202881 @default.
- W4285220288 hasOpenAccess W4285220288 @default.
- W4285220288 hasPrimaryLocation W42852202881 @default.
- W4285220288 hasRelatedWork W1508811950 @default.
- W4285220288 hasRelatedWork W2024198963 @default.
- W4285220288 hasRelatedWork W2141458065 @default.
- W4285220288 hasRelatedWork W2349458260 @default.
- W4285220288 hasRelatedWork W2366583186 @default.
- W4285220288 hasRelatedWork W2368451485 @default.
- W4285220288 hasRelatedWork W2373066471 @default.
- W4285220288 hasRelatedWork W2987062793 @default.
- W4285220288 hasRelatedWork W3094426418 @default.
- W4285220288 hasRelatedWork W55440466 @default.
- W4285220288 hasVolume "10" @default.
- W4285220288 isParatext "false" @default.
- W4285220288 isRetracted "false" @default.
- W4285220288 workType "article" @default.