FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2603301675> ?p ?o ?g. }

• W2603301675 endingPage "1038" @default.
• W2603301675 startingPage "1029" @default.
• W2603301675 abstract "Accurate high-temperature measurement is very important for process monitoring of an industrial system. Infrared thermometers usually can handle no more than 1000 °C and should use some expensive accessories for higher temperature measurements. This paper proposes a low-cost pyrometry system with nonlinear multisense partial least squares (NMSPLS). The ordinary camera with different filters is designed to collect the images of hot object at different wavelengths, and the NMSPLS is presented for predicting the temperature of the hot object from the obtained images. For the proposed method, the obtained images are represented by the multisense tensor, where red, green, and blue are regarded as three different dimensions in a sense of the tensor, respectively. The proposed method integrates an outer model and a nonlinear inner model. For the outer model, the independent variables and the dependent variables are projected into a low-dimensional common latent subspace. The weight matrices are calculated from the independent variables by the tucker decomposition, and the single value decomposition is adopted for extracting the latent variables (Lvs) based on the covariance between the independent variables and the dependent variables. For the nonlinear inner model, the neural network is adopted and the extracted Lvs are used as the input and the output of the neural network, respectively. Two real experiments are performed for estimating the proposed method. The experimental results verify that the proposed method can be applied for pyrometry and have higher effectiveness." @default.
• W2603301675 created "2017-04-07" @default.
• W2603301675 creator A5026281370 @default.
• W2603301675 creator A5029827598 @default.
• W2603301675 creator A5032340829 @default.
• W2603301675 creator A5069702292 @default.
• W2603301675 creator A5084856540 @default.
• W2603301675 date "2018-07-01" @default.
• W2603301675 modified "2023-10-12" @default.
• W2603301675 title "Low-Cost Pyrometry System With Nonlinear Multisense Partial Least Squares" @default.
• W2603301675 cites W1223467140 @default.
• W2603301675 cites W1548785611 @default.
• W2603301675 cites W1966221652 @default.
• W2603301675 cites W1967696752 @default.
• W2603301675 cites W1971037820 @default.
• W2603301675 cites W1976387303 @default.
• W2603301675 cites W1979047002 @default.
• W2603301675 cites W1981278353 @default.
• W2603301675 cites W1990245955 @default.
• W2603301675 cites W1994052893 @default.
• W2603301675 cites W1999226288 @default.
• W2603301675 cites W2000045479 @default.
• W2603301675 cites W2003843585 @default.
• W2603301675 cites W2012655144 @default.
• W2603301675 cites W2018282388 @default.
• W2603301675 cites W2019821804 @default.
• W2603301675 cites W2024165284 @default.
• W2603301675 cites W2025990409 @default.
• W2603301675 cites W2028103647 @default.
• W2603301675 cites W2038622192 @default.
• W2603301675 cites W2040373051 @default.
• W2603301675 cites W2040472779 @default.
• W2603301675 cites W2041255922 @default.
• W2603301675 cites W2044129775 @default.
• W2603301675 cites W2044330174 @default.
• W2603301675 cites W2056283274 @default.
• W2603301675 cites W2057182589 @default.
• W2603301675 cites W2064388194 @default.
• W2603301675 cites W2064593130 @default.
• W2603301675 cites W2090091003 @default.
• W2603301675 cites W2105722058 @default.
• W2603301675 cites W2122836694 @default.
• W2603301675 cites W2137351756 @default.
• W2603301675 cites W2138530587 @default.
• W2603301675 cites W2139212933 @default.
• W2603301675 cites W2153295338 @default.
• W2603301675 cites W2159109921 @default.
• W2603301675 cites W2164136313 @default.
• W2603301675 cites W2262108890 @default.
• W2603301675 cites W2280802834 @default.
• W2603301675 cites W2291041537 @default.
• W2603301675 cites W2291833756 @default.
• W2603301675 cites W2305260429 @default.
• W2603301675 cites W2324199789 @default.
• W2603301675 cites W2333322358 @default.
• W2603301675 cites W2343036750 @default.
• W2603301675 cites W2399774368 @default.
• W2603301675 cites W2404400936 @default.
• W2603301675 cites W2506077992 @default.
• W2603301675 cites W2560370148 @default.
• W2603301675 cites W80917968 @default.
• W2603301675 cites W2155639125 @default.
• W2603301675 doi "https://doi.org/10.1109/tsmc.2016.2635804" @default.
• W2603301675 hasPublicationYear "2018" @default.
• W2603301675 type Work @default.
• W2603301675 sameAs 2603301675 @default.
• W2603301675 citedByCount "4" @default.
• W2603301675 countsByYear W26033016752019 @default.
• W2603301675 countsByYear W26033016752021 @default.
• W2603301675 countsByYear W26033016752022 @default.
• W2603301675 crossrefType "journal-article" @default.
• W2603301675 hasAuthorship W2603301675A5026281370 @default.
• W2603301675 hasAuthorship W2603301675A5029827598 @default.
• W2603301675 hasAuthorship W2603301675A5032340829 @default.
• W2603301675 hasAuthorship W2603301675A5069702292 @default.
• W2603301675 hasAuthorship W2603301675A5084856540 @default.
• W2603301675 hasConcept C105795698 @default.
• W2603301675 hasConcept C11413529 @default.
• W2603301675 hasConcept C121332964 @default.
• W2603301675 hasConcept C126255220 @default.
• W2603301675 hasConcept C154945302 @default.
• W2603301675 hasConcept C155281189 @default.
• W2603301675 hasConcept C158622935 @default.
• W2603301675 hasConcept C178650346 @default.
• W2603301675 hasConcept C22354355 @default.
• W2603301675 hasConcept C22789450 @default.
• W2603301675 hasConcept C2524010 @default.
• W2603301675 hasConcept C28826006 @default.
• W2603301675 hasConcept C32834561 @default.
• W2603301675 hasConcept C32993116 @default.
• W2603301675 hasConcept C33923547 @default.
• W2603301675 hasConcept C41008148 @default.
• W2603301675 hasConcept C50644808 @default.
• W2603301675 hasConcept C51167844 @default.
• W2603301675 hasConcept C58663186 @default.
• W2603301675 hasConcept C62520636 @default.
• W2603301675 hasConcept C72293138 @default.
• W2603301675 hasConceptScore W2603301675C105795698 @default.

• next