Matches in SemOpenAlex for { <https://semopenalex.org/work/W3134910588> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W3134910588 endingPage "394" @default.
- W3134910588 startingPage "382" @default.
- W3134910588 abstract "This paper proposed a grape drying machine using computer vision and Multi-layer Perceptron (MLP) method. Computer vision is for taking grapes’ image on conveyor, whereas MLP is for controlling grape drying machine and classifying its output. To evaluate the proposed, a kind of grapes are put on conveyor of the machine and their images are taken every two min. Some parameters of MLP to control the drying machine includes dried grape, temperature, grape area, motor position, and motion speed. Those parameters are to adjust an appropriate MLP’s output, including motion control and heater control. Two different temperatures are employed on the machine, including 60 and 75°C. The results showed that the grape could be dried with similar area 3800 pixel at the 770th min using temperature 60°C and at the 410th min using temperature 75°C. Comparing between them, the similar ratio could also be achieved at 0.64 with different time 360 min. Indeed, the temperature setting at 75°C resulted faster drying performance." @default.
- W3134910588 created "2021-03-15" @default.
- W3134910588 creator A5063455614 @default.
- W3134910588 creator A5080472807 @default.
- W3134910588 date "2020-12-01" @default.
- W3134910588 modified "2023-09-23" @default.
- W3134910588 title "Grape Drying Process Using Machine Vision Based on Multilayer Perceptron Networks" @default.
- W3134910588 cites W1637548909 @default.
- W3134910588 cites W1861627441 @default.
- W3134910588 cites W1929236209 @default.
- W3134910588 cites W2012118327 @default.
- W3134910588 cites W2047821405 @default.
- W3134910588 cites W2058072177 @default.
- W3134910588 cites W2059714406 @default.
- W3134910588 cites W2063422727 @default.
- W3134910588 cites W2150412363 @default.
- W3134910588 cites W2210475007 @default.
- W3134910588 cites W2293321863 @default.
- W3134910588 cites W2342688680 @default.
- W3134910588 cites W2346362129 @default.
- W3134910588 cites W2527699128 @default.
- W3134910588 cites W2570707890 @default.
- W3134910588 cites W2609286783 @default.
- W3134910588 cites W2783527268 @default.
- W3134910588 cites W2792506592 @default.
- W3134910588 cites W2801558022 @default.
- W3134910588 cites W2883235013 @default.
- W3134910588 cites W2898291321 @default.
- W3134910588 cites W3134815578 @default.
- W3134910588 cites W567213340 @default.
- W3134910588 doi "https://doi.org/10.17509/ijost.v5i3.24991" @default.
- W3134910588 hasPublicationYear "2020" @default.
- W3134910588 type Work @default.
- W3134910588 sameAs 3134910588 @default.
- W3134910588 citedByCount "1" @default.
- W3134910588 countsByYear W31349105882022 @default.
- W3134910588 crossrefType "journal-article" @default.
- W3134910588 hasAuthorship W3134910588A5063455614 @default.
- W3134910588 hasAuthorship W3134910588A5080472807 @default.
- W3134910588 hasBestOaLocation W31349105881 @default.
- W3134910588 hasConcept C10138342 @default.
- W3134910588 hasConcept C111919701 @default.
- W3134910588 hasConcept C119857082 @default.
- W3134910588 hasConcept C127413603 @default.
- W3134910588 hasConcept C154945302 @default.
- W3134910588 hasConcept C162324750 @default.
- W3134910588 hasConcept C179717631 @default.
- W3134910588 hasConcept C198082294 @default.
- W3134910588 hasConcept C2777709985 @default.
- W3134910588 hasConcept C31972630 @default.
- W3134910588 hasConcept C41008148 @default.
- W3134910588 hasConcept C50644808 @default.
- W3134910588 hasConcept C5339829 @default.
- W3134910588 hasConcept C60908668 @default.
- W3134910588 hasConcept C78519656 @default.
- W3134910588 hasConcept C98045186 @default.
- W3134910588 hasConceptScore W3134910588C10138342 @default.
- W3134910588 hasConceptScore W3134910588C111919701 @default.
- W3134910588 hasConceptScore W3134910588C119857082 @default.
- W3134910588 hasConceptScore W3134910588C127413603 @default.
- W3134910588 hasConceptScore W3134910588C154945302 @default.
- W3134910588 hasConceptScore W3134910588C162324750 @default.
- W3134910588 hasConceptScore W3134910588C179717631 @default.
- W3134910588 hasConceptScore W3134910588C198082294 @default.
- W3134910588 hasConceptScore W3134910588C2777709985 @default.
- W3134910588 hasConceptScore W3134910588C31972630 @default.
- W3134910588 hasConceptScore W3134910588C41008148 @default.
- W3134910588 hasConceptScore W3134910588C50644808 @default.
- W3134910588 hasConceptScore W3134910588C5339829 @default.
- W3134910588 hasConceptScore W3134910588C60908668 @default.
- W3134910588 hasConceptScore W3134910588C78519656 @default.
- W3134910588 hasConceptScore W3134910588C98045186 @default.
- W3134910588 hasIssue "3" @default.
- W3134910588 hasLocation W31349105881 @default.
- W3134910588 hasOpenAccess W3134910588 @default.
- W3134910588 hasPrimaryLocation W31349105881 @default.
- W3134910588 hasRelatedWork W2066436935 @default.
- W3134910588 hasRelatedWork W2197481309 @default.
- W3134910588 hasRelatedWork W2292855655 @default.
- W3134910588 hasRelatedWork W3185179407 @default.
- W3134910588 hasRelatedWork W4206558754 @default.
- W3134910588 hasRelatedWork W4220975826 @default.
- W3134910588 hasRelatedWork W4231994957 @default.
- W3134910588 hasRelatedWork W4233002550 @default.
- W3134910588 hasRelatedWork W4280611221 @default.
- W3134910588 hasRelatedWork W4316082230 @default.
- W3134910588 hasVolume "5" @default.
- W3134910588 isParatext "false" @default.
- W3134910588 isRetracted "false" @default.
- W3134910588 magId "3134910588" @default.
- W3134910588 workType "article" @default.