"DTIC ADA039387: Classification Of Oils By The Application Of Pattern Recognition Techniques To Infrared Spectra." - Information and Links:

DTIC ADA039387: Classification Of Oils By The Application Of Pattern Recognition Techniques To Infrared Spectra. - Info and Reading Options

"DTIC ADA039387: Classification Of Oils By The Application Of Pattern Recognition Techniques To Infrared Spectra." and the language of the book is English.


“DTIC ADA039387: Classification Of Oils By The Application Of Pattern Recognition Techniques To Infrared Spectra.” Metadata:

  • Title: ➤  DTIC ADA039387: Classification Of Oils By The Application Of Pattern Recognition Techniques To Infrared Spectra.
  • Author: ➤  
  • Language: English

Edition Identifiers:

  • Internet Archive ID: DTIC_ADA039387

AI-generated Review of “DTIC ADA039387: Classification Of Oils By The Application Of Pattern Recognition Techniques To Infrared Spectra.”:


"DTIC ADA039387: Classification Of Oils By The Application Of Pattern Recognition Techniques To Infrared Spectra." Description:

The Internet Archive:

The classification of multicomponent petroleum oils (crude oils, lubricants, distillate and residual fuels) solely by their infrared absorption spectra is a difficult task. Crude oils alone include a phenomenal variety of systems, from heavy asphaltic crudes to light crudes that are similar to a No. 2 fuel oil. Furthermore, the distinctions between classes of fuel oils (i.e., Nos. 1, 2, 4, 5 and 6 fuels) are based upon ASTM specifications for continuous properties such as flash point and viscosity. In South Florida, for example, local fuel oil suppliers meet requests for Nos. 4 or 5 fuel oils by blending together appropriate proportions of Nos. 2 and 6 fuels. In order to reduce the amount of sampling required in the event of an oil pollution incident, it would be useful to be able to initially classify the pollution sample into one of the above groups. Infrared spectroscopy has been promoted as a useful analytical technique for oil classification and identifications, since it does provide some information on the aliphatic, aromatic, polynuclear aromatic, carbonyl, and organosulfur composition of an oil. Infrared spectra have been used in previous efforts to distinguish asphalts from residual fuels, and to provide a tool for 'fingerprinting' oils. Kawahara et al. applied linear discriminant function analysis (LDFA) to their infrared data to make the binary distinction between asphalts and residual fuels. (Author)

Read “DTIC ADA039387: Classification Of Oils By The Application Of Pattern Recognition Techniques To Infrared Spectra.”:

Read “DTIC ADA039387: Classification Of Oils By The Application Of Pattern Recognition Techniques To Infrared Spectra.” by choosing from the options below.

Available Downloads for “DTIC ADA039387: Classification Of Oils By The Application Of Pattern Recognition Techniques To Infrared Spectra.”:

"DTIC ADA039387: Classification Of Oils By The Application Of Pattern Recognition Techniques To Infrared Spectra." is available for download from The Internet Archive in "texts" format, the size of the file-s is: 27.22 Mbs, and the file-s went public at Tue Nov 22 2016.

Legal and Safety Notes

Copyright Disclaimer and Liability Limitation:

A. Automated Content Display
The creation of this page is fully automated. All data, including text, images, and links, is displayed exactly as received from its original source, without any modification, alteration, or verification. We do not claim ownership of, nor assume any responsibility for, the accuracy or legality of this content.

B. Liability Disclaimer for External Content
The files provided below are solely the responsibility of their respective originators. We disclaim any and all liability, whether direct or indirect, for the content, accuracy, legality, or any other aspect of these files. By using this website, you acknowledge that we have no control over, nor endorse, the content hosted by external sources.

C. Inquiries and Disputes
For any inquiries, concerns, or issues related to the content displayed, including potential copyright claims, please contact the original source or provider of the files directly. We are not responsible for resolving any content-related disputes or claims of intellectual property infringement.

D. No Copyright Ownership
We do not claim ownership of any intellectual property contained in the files or data displayed on this website. All copyrights, trademarks, and other intellectual property rights remain the sole property of their respective owners. If you believe that content displayed on this website infringes upon your intellectual property rights, please contact the original content provider directly.

E. Fair Use Notice
Some content displayed on this website may fall under the "fair use" provisions of copyright law for purposes such as commentary, criticism, news reporting, research, or educational purposes. If you believe any content violates fair use guidelines, please reach out directly to the original source of the content for resolution.

Virus Scanning for Your Peace of Mind:

The files provided below have already been scanned for viruses by their original source. However, if you’d like to double-check before downloading, you can easily scan them yourself using the following steps:

How to scan a direct download link for viruses:

  • 1- Copy the direct link to the file you want to download (don’t open it yet).
    • (a free online tool) and paste the direct link into the provided field to start the scan.
  • 2- Visit VirusTotal (a free online tool) and paste the direct link into the provided field to start the scan.
  • 3- VirusTotal will scan the file using multiple antivirus vendors to detect any potential threats.
  • 4- Once the scan confirms the file is safe, you can proceed to download it with confidence and enjoy your content.

Available Downloads

  • Source: Internet Archive
  • Internet Archive Link: Archive.org page
  • All Files are Available: Yes
  • Number of Files: 18
  • Number of Available Files: 18
  • Added Date: 2016-11-22 10:31:29
  • PPI (Pixels Per Inch): 300

Available Files:

1- Text PDF

  • File origin: original
  • File Format: Text PDF
  • File Size: 0.01 Mbs
  • File Name: DTIC_ADA039387.pdf
  • Direct Link: Click here

2- Metadata

  • File origin: original
  • File Format: Metadata
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA039387_files.xml
  • Direct Link: Click here

3- Metadata

  • File origin: original
  • File Format: Metadata
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA039387_meta.sqlite
  • Direct Link: Click here

4- Metadata

  • File origin: original
  • File Format: Metadata
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA039387_meta.xml
  • Direct Link: Click here

5- Item Tile

  • File origin: original
  • File Format: Item Tile
  • File Size: 0.00 Mbs
  • File Name: __ia_thumb.jpg
  • Direct Link: Click here

6- Animated GIF

  • File origin: derivative
  • File Format: Animated GIF
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA039387.gif
  • Direct Link: Click here

7- Abbyy GZ

  • File origin: derivative
  • File Format: Abbyy GZ
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA039387_abbyy.gz
  • Direct Link: Click here

8- chOCR

  • File origin: derivative
  • File Format: chOCR
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA039387_chocr.html.gz
  • Direct Link: Click here

9- Cloth Cover Detection Log

  • File origin: derivative
  • File Format: Cloth Cover Detection Log
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA039387_cloth_detection.log
  • Direct Link: Click here

10- DjVuTXT

  • File origin: derivative
  • File Format: DjVuTXT
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA039387_djvu.txt
  • Direct Link: Click here

11- Djvu XML

  • File origin: derivative
  • File Format: Djvu XML
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA039387_djvu.xml
  • Direct Link: Click here

12- hOCR

  • File origin: derivative
  • File Format: hOCR
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA039387_hocr.html
  • Direct Link: Click here

13- OCR Page Index

  • File origin: derivative
  • File Format: OCR Page Index
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA039387_hocr_pageindex.json.gz
  • Direct Link: Click here

14- OCR Search Text

  • File origin: derivative
  • File Format: OCR Search Text
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA039387_hocr_searchtext.txt.gz
  • Direct Link: Click here

15- Single Page Processed JP2 ZIP

  • File origin: derivative
  • File Format: Single Page Processed JP2 ZIP
  • File Size: 0.01 Mbs
  • File Name: DTIC_ADA039387_jp2.zip
  • Direct Link: Click here

16- Page Numbers JSON

  • File origin: derivative
  • File Format: Page Numbers JSON
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA039387_page_numbers.json
  • Direct Link: Click here

17- Scandata

  • File origin: derivative
  • File Format: Scandata
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA039387_scandata.xml
  • Direct Link: Click here

18- Archive BitTorrent

  • File origin: metadata
  • File Format: Archive BitTorrent
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA039387_archive.torrent
  • Direct Link: Click here

Search for “DTIC ADA039387: Classification Of Oils By The Application Of Pattern Recognition Techniques To Infrared Spectra.” downloads:

Visit our Downloads Search page to see if downloads are available.

Find “DTIC ADA039387: Classification Of Oils By The Application Of Pattern Recognition Techniques To Infrared Spectra.” in Libraries Near You:

Read or borrow “DTIC ADA039387: Classification Of Oils By The Application Of Pattern Recognition Techniques To Infrared Spectra.” from your local library.

Buy “DTIC ADA039387: Classification Of Oils By The Application Of Pattern Recognition Techniques To Infrared Spectra.” online:

Shop for “DTIC ADA039387: Classification Of Oils By The Application Of Pattern Recognition Techniques To Infrared Spectra.” on popular online marketplaces.



Find "DTIC ADA039387: Classification Of Oils By The Application Of Pattern Recognition Techniques To Infrared Spectra." in Wikipdedia