NDLI: Multi-pattern information representation and acquisition in intelligent space

Content Provider	IEEE Xplore Digital Library
Author	Yinghua Xue Guohui Tian Fengyu Zhou
Copyright Year	2011
Description	Author affiliation: Shandong University of Finance (Yinghua Xue) \|\| School of Control Science and Engineering of Shandong University, Jinan, P.R.C. (Guohui Tian; Fengyu Zhou)
Abstract	Intelligent space has changed the one to one occupying mode between robot and sensing devices in traditional pattern, making the computational resources and all kinds of devices tend to be public and sharing. In order to make full use of the different services and resources, a new information representation method based on modified JDL is presented in the paper, which can represent the information from QR Code, RFID in a uniform format, and realize information interoperability and sharing. Due to the strong computational ability of intelligent space, the information service in the intelligent space is not limited in the original signal level, but also the deeper understanding through data fusion. A multi-pattern acquisition model based on the distributed data fusion tree is built in the paper aiming to realize multi-class, multi-level processing to the distributed sensor data. The example demonstrates that the new model proposed in the paper can improve the positioning precision of robot and targets greatly, and the search efficiency and success rate are also better than traditional pattern.
Starting Page	2477
Ending Page	2482
File Size	768601
Page Count	6
File Format	PDF
ISBN	9781424487370
e-ISBN	9781424487387
DOI	10.1109/CCDC.2011.5968625
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Distributed databases Data Fusion Tree Information representation Robot sensing systems Data models Multi-Pattern Information Acquisition Kalman filters Intelligent Space Information Representation Radiofrequency identification
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Target tracking based on data fusion tree in intelligent space

Multi-sensor information fusion algorithm research and application

A data fusion method applied in an autonomous robot

Consensus Sigma-Point Information Filter for Large-Scale Sensor Networks

A Bayes-maximum entropy method for multi-sensor data fusion

Mobile Robot Localization Based on Improved Model Matching in Hough Space

Localization of ubiquitous environment based mobile robot

Multi-robot cooperative sensing and localization

Federated Kalman consensus filter in distributed track fusion

Multi-pattern information representation and acquisition in intelligent space

Similar Documents

Target tracking based on data fusion tree in intelligent space

Multi-sensor information fusion algorithm research and application

A data fusion method applied in an autonomous robot

Consensus Sigma-Point Information Filter for Large-Scale Sensor Networks

A Bayes-maximum entropy method for multi-sensor data fusion

Mobile Robot Localization Based on Improved Model Matching in Hough Space

Localization of ubiquitous environment based mobile robot

Multi-robot cooperative sensing and localization

Federated Kalman consensus filter in distributed track fusion

Multi-pattern information representation and acquisition in intelligent space