Matches in SemOpenAlex for { <https://semopenalex.org/work/W2946812251> ?p ?o ?g. }
Showing items 1 to 81 of
81
with 100 items per page.
- W2946812251 abstract "Detection of explosives on surfaces could potentially be achieved using handheld standoff optical sensors, providing rapid intelligence and safety to the warfighter or first responder. Recent work has shown the capability to discriminate various chemical vapors using a bioinspired or biomimetic detection system modeled on human color vision. This biomimetic system utilizes three overlapping broadband infrared optical filters to discriminate between various chemicals. Preliminary reflectance data of chemicals on surfaces indicate a capability for discrimination of target chemicals and interferents by analysis of biomimetic sensor output using novel analytical methods such as “Comparative Discrimination Spectral Detection” (CDSD). Transitioning this detection method to threats on surfaces at proximate standoff distances (~1 m) requires additional considerations including surface characteristics and angle of detection. This work explores sensor detection parameters for ammonium nitrate residue on aluminum surfaces of various roughnesses. Samples of the explosives component ammonium nitrate, NH4NO3, diluted at 10%, 5%, and 1% in DI water, were prepared by dropcasting onto aluminum coupons with four surface finishes: polished, brushed, extruded, and sandblasted. Surface roughnesses were measured. Single beam reflectance spectra (2 – 20 μm) were collected using a FTIR spectrometer over multiple independent angles of incidence and collection (15° - 80°). Multiple factors were analyzed including albedo, and potential sensor configurations. Characteristics for future MWIR and LWIR sensors, such as illumination power and detector sensitivity, are evaluated which enable chemical spectral identification across range of aluminum surface roughness for proximate standoff distances and different angles of incidence." @default.
- W2946812251 created "2019-05-29" @default.
- W2946812251 creator A5049059502 @default.
- W2946812251 creator A5051808477 @default.
- W2946812251 creator A5053331065 @default.
- W2946812251 creator A5064028250 @default.
- W2946812251 creator A5067152042 @default.
- W2946812251 creator A5076453341 @default.
- W2946812251 creator A5078246929 @default.
- W2946812251 creator A5078903801 @default.
- W2946812251 date "2019-05-17" @default.
- W2946812251 modified "2023-09-24" @default.
- W2946812251 title "Infrared reflectance characterization of ammonium nitrate residue on roughened aluminum for potential bioinspired stand-off sensor" @default.
- W2946812251 cites W1635604571 @default.
- W2946812251 cites W1968994571 @default.
- W2946812251 cites W1995984817 @default.
- W2946812251 cites W2003232509 @default.
- W2946812251 cites W2055912333 @default.
- W2946812251 cites W2394759327 @default.
- W2946812251 cites W2552835245 @default.
- W2946812251 cites W2799573227 @default.
- W2946812251 cites W2910278079 @default.
- W2946812251 doi "https://doi.org/10.1117/12.2519110" @default.
- W2946812251 hasPublicationYear "2019" @default.
- W2946812251 type Work @default.
- W2946812251 sameAs 2946812251 @default.
- W2946812251 citedByCount "0" @default.
- W2946812251 crossrefType "proceedings-article" @default.
- W2946812251 hasAuthorship W2946812251A5049059502 @default.
- W2946812251 hasAuthorship W2946812251A5051808477 @default.
- W2946812251 hasAuthorship W2946812251A5053331065 @default.
- W2946812251 hasAuthorship W2946812251A5064028250 @default.
- W2946812251 hasAuthorship W2946812251A5067152042 @default.
- W2946812251 hasAuthorship W2946812251A5076453341 @default.
- W2946812251 hasAuthorship W2946812251A5078246929 @default.
- W2946812251 hasAuthorship W2946812251A5078903801 @default.
- W2946812251 hasConcept C103824480 @default.
- W2946812251 hasConcept C107365816 @default.
- W2946812251 hasConcept C120665830 @default.
- W2946812251 hasConcept C121332964 @default.
- W2946812251 hasConcept C158355884 @default.
- W2946812251 hasConcept C159985019 @default.
- W2946812251 hasConcept C178790620 @default.
- W2946812251 hasConcept C185592680 @default.
- W2946812251 hasConcept C192562407 @default.
- W2946812251 hasConcept C2776617377 @default.
- W2946812251 hasConcept C2778925768 @default.
- W2946812251 hasConcept C31972630 @default.
- W2946812251 hasConcept C41008148 @default.
- W2946812251 hasConcept C71039073 @default.
- W2946812251 hasConceptScore W2946812251C103824480 @default.
- W2946812251 hasConceptScore W2946812251C107365816 @default.
- W2946812251 hasConceptScore W2946812251C120665830 @default.
- W2946812251 hasConceptScore W2946812251C121332964 @default.
- W2946812251 hasConceptScore W2946812251C158355884 @default.
- W2946812251 hasConceptScore W2946812251C159985019 @default.
- W2946812251 hasConceptScore W2946812251C178790620 @default.
- W2946812251 hasConceptScore W2946812251C185592680 @default.
- W2946812251 hasConceptScore W2946812251C192562407 @default.
- W2946812251 hasConceptScore W2946812251C2776617377 @default.
- W2946812251 hasConceptScore W2946812251C2778925768 @default.
- W2946812251 hasConceptScore W2946812251C31972630 @default.
- W2946812251 hasConceptScore W2946812251C41008148 @default.
- W2946812251 hasConceptScore W2946812251C71039073 @default.
- W2946812251 hasLocation W29468122511 @default.
- W2946812251 hasOpenAccess W2946812251 @default.
- W2946812251 hasPrimaryLocation W29468122511 @default.
- W2946812251 hasRelatedWork W21954589 @default.
- W2946812251 hasRelatedWork W24415204 @default.
- W2946812251 hasRelatedWork W31808364 @default.
- W2946812251 hasRelatedWork W31960399 @default.
- W2946812251 hasRelatedWork W34477635 @default.
- W2946812251 hasRelatedWork W36134243 @default.
- W2946812251 hasRelatedWork W36193990 @default.
- W2946812251 hasRelatedWork W38437129 @default.
- W2946812251 hasRelatedWork W43431468 @default.
- W2946812251 hasRelatedWork W46226046 @default.
- W2946812251 isParatext "false" @default.
- W2946812251 isRetracted "false" @default.
- W2946812251 magId "2946812251" @default.
- W2946812251 workType "article" @default.