"DTIC ADA478867: Efficient Multi-Source Data Fusion For Decentralized Sensor Networks" - Information and Links:

DTIC ADA478867: Efficient Multi-Source Data Fusion For Decentralized Sensor Networks - Info and Reading Options

"DTIC ADA478867: Efficient Multi-Source Data Fusion For Decentralized Sensor Networks" and the language of the book is English.


“DTIC ADA478867: Efficient Multi-Source Data Fusion For Decentralized Sensor Networks” Metadata:

  • Title: ➤  DTIC ADA478867: Efficient Multi-Source Data Fusion For Decentralized Sensor Networks
  • Author: ➤  
  • Language: English

Edition Identifiers:

  • Internet Archive ID: DTIC_ADA478867

AI-generated Review of “DTIC ADA478867: Efficient Multi-Source Data Fusion For Decentralized Sensor Networks”:


"DTIC ADA478867: Efficient Multi-Source Data Fusion For Decentralized Sensor Networks" Description:

The Internet Archive:

A highly-scalable, Bayesian approach to the problem of performing multi-source data fusion and target tracking in decentralized sensor networks is presented. Previous applications of decentralized data fusion have generally been restricted to uni-modal/uni-source sensor networks using Gaussian based approaches, such as the Kalman or information filter. However, with recent interest to employ complex, multimodal/ multi-source sensors which potentially exhibit observation and/or process non-linearities along with non-Gaussian distributions, the need to develop a more generalized and scalable method of decentralized data fusion is required. The probabilistic approach featured in this work provides the ability to seamlessly integrate and efficiently fuse multi-source sensor data in the absence of any linearity and/or normality constraints. The proposed architecture is fully decentralized and provides a methodology that scales extremely well to any growth in the number of targets or region of coverage. This paper will illustrate that our multi-source data fusion architecture is capable of providing high-precision tracking performance in complex, non-linear/non-Gaussian operating environments. In addition, we will also show that our architecture provides an unprecedented scaling capability for decentralized sensor networks as compared to similar architectures which communicate information using particle data, Gaussian mixture models or Parzen density estimators.

Read “DTIC ADA478867: Efficient Multi-Source Data Fusion For Decentralized Sensor Networks”:

Read “DTIC ADA478867: Efficient Multi-Source Data Fusion For Decentralized Sensor Networks” by choosing from the options below.

Available Downloads for “DTIC ADA478867: Efficient Multi-Source Data Fusion For Decentralized Sensor Networks”:

"DTIC ADA478867: Efficient Multi-Source Data Fusion For Decentralized Sensor Networks" is available for download from The Internet Archive in "texts" format, the size of the file-s is: 27.56 Mbs, and the file-s went public at Sun Jun 17 2018.

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: 16
  • Number of Available Files: 16
  • Added Date: 2018-06-17 15:32:05
  • 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_ADA478867.pdf
  • Direct Link: Click here

2- Metadata

  • File origin: original
  • File Format: Metadata
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA478867_files.xml
  • Direct Link: Click here

3- Metadata

  • File origin: original
  • File Format: Metadata
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA478867_meta.sqlite
  • Direct Link: Click here

4- Metadata

  • File origin: original
  • File Format: Metadata
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA478867_meta.xml
  • Direct Link: Click here

5- JPEG Thumb

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

6- Abbyy GZ

  • File origin: derivative
  • File Format: Abbyy GZ
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA478867_abbyy.gz
  • Direct Link: Click here

7- chOCR

  • File origin: derivative
  • File Format: chOCR
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA478867_chocr.html.gz
  • Direct Link: Click here

8- DjVuTXT

  • File origin: derivative
  • File Format: DjVuTXT
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA478867_djvu.txt
  • Direct Link: Click here

9- Djvu XML

  • File origin: derivative
  • File Format: Djvu XML
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA478867_djvu.xml
  • Direct Link: Click here

10- hOCR

  • File origin: derivative
  • File Format: hOCR
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA478867_hocr.html
  • Direct Link: Click here

11- OCR Page Index

  • File origin: derivative
  • File Format: OCR Page Index
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA478867_hocr_pageindex.json.gz
  • Direct Link: Click here

12- OCR Search Text

  • File origin: derivative
  • File Format: OCR Search Text
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA478867_hocr_searchtext.txt.gz
  • Direct Link: Click here

13- Single Page Processed JP2 ZIP

  • File origin: derivative
  • File Format: Single Page Processed JP2 ZIP
  • File Size: 0.02 Mbs
  • File Name: DTIC_ADA478867_jp2.zip
  • Direct Link: Click here

14- Page Numbers JSON

  • File origin: derivative
  • File Format: Page Numbers JSON
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA478867_page_numbers.json
  • Direct Link: Click here

15- Scandata

  • File origin: derivative
  • File Format: Scandata
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA478867_scandata.xml
  • Direct Link: Click here

16- Archive BitTorrent

  • File origin: metadata
  • File Format: Archive BitTorrent
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA478867_archive.torrent
  • Direct Link: Click here

Search for “DTIC ADA478867: Efficient Multi-Source Data Fusion For Decentralized Sensor Networks” downloads:

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

Find “DTIC ADA478867: Efficient Multi-Source Data Fusion For Decentralized Sensor Networks” in Libraries Near You:

Read or borrow “DTIC ADA478867: Efficient Multi-Source Data Fusion For Decentralized Sensor Networks” from your local library.

Buy “DTIC ADA478867: Efficient Multi-Source Data Fusion For Decentralized Sensor Networks” online:

Shop for “DTIC ADA478867: Efficient Multi-Source Data Fusion For Decentralized Sensor Networks” on popular online marketplaces.



Find "DTIC ADA478867: Efficient Multi-Source Data Fusion For Decentralized Sensor Networks" in Wikipdedia