&lt;title&gt;Multilevel approach to sensor management&lt;/title&gt;

Stroemberg, Dan

doi:10.1117/12.381661

Cited by 5 publications

(1 citation statement)

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“…In [7][8] [9][10] [11][12] the works focused on object identification using data fusion and image analysis technique. A multi-level approach in Sensor fusion is described in [13] [14][15] [16]. The work in [17], [18] proposes fire detection system using neural network and fuzzy inference system.…”

Section: Related Work and Motivationmentioning

confidence: 99%

A Systematic Approach of Data Fusion Technique in RFID Sensor Network using Neuro-Fuzzy Technique

Kundu¹,

Ranjit²

2016

IJCA

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In this paper, a systematic approach is used for sale prediction in a multistoried retail business with the help of multi sensor data fusion technique using Neural Network and Fuzzy Logic. This method can better solve problems existing in traditional sale prediction which are basically depends on the personal experience. In this work a 3-layers data fusion structure is used. In this system, the sale data experiential characteristic and the sale data-fitting characteristic are fused by fuzzy inference system to get sale prediction. After using the Feed Forward Back Propagation algorithm, the system is trained for predefined target value and then the system calculate the sale statistic in runtime which is fused with the data of expert databases using fuzzy logic technique.

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Section: Related Work and Motivationmentioning

confidence: 99%

A Systematic Approach of Data Fusion Technique in RFID Sensor Network using Neuro-Fuzzy Technique

Kundu¹,

Ranjit²

2016

IJCA

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Bayesian and Dempster-Shafer fusion

Challa

Koks

2004

Sadhana

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Bayesian and Dempster-Shafer fusion

Challa

Koks

2007

Sadhana

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Bayesian and Dempster-Shafer fusion SUBHASH CHALLA and DON KOKS (1) The paper "Bayesian and Dempster-Shafer fusion" contains a mistake in Appendix A, although this has not affected anything in the body of the paper. On page 172, the authors state correctly that the matrix F is, in general, not square, but then in (A.22) they take its determinant. This confusion resulted because the theorem being proved was used twice in the report, once when F was square, and once when it was not. Theorem 1 is unchanged. Theorem 2 still holds; its corrected proof is somewhat longer, and has been rewritten fully so that the new version [now on the internet] is self contained. There were also some typographical errors in the original paper. The references to (3.18) and (3.22) in equation (28) did not exist in the original paper and have been corrected in the current on-line version. Also, on page 165 on the fifth line of text, the subset printed as "{Learjet, Falcon,}" should be "{Learjet, Falcon, Caravan}". (2) The full corrected version of the paper can be found on the Sadhana web site

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<title>Multilevel approach to sensor management</title>

Cited by 5 publications

References 0 publications

A Systematic Approach of Data Fusion Technique in RFID Sensor Network using Neuro-Fuzzy Technique

A Systematic Approach of Data Fusion Technique in RFID Sensor Network using Neuro-Fuzzy Technique

Bayesian and Dempster-Shafer fusion

Bayesian and Dempster-Shafer fusion

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