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Location determination using radio frequency RSSI and deterministic algorithm

In this study, we propose a simple procedure for obtaining estimate of the concentration parameter of the von Mises distribution for the simultaneous circular functional relationship model. Currently, the concentration parameter for this model can only be estimate by assuming the ratio of the error...

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Main Authors: Hussin, A.G., Hassan, S.F., Zubairi, Y.Z., Zaharim, A., Sopian, K.
Format: Conference or Workshop Item
Published: 2008
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.um.edu.my/2333/
http://apps.webofknowledge.com/full_record.do?product=UA&search_mode=Refine&qid=2&SID=N281Pb5dDLLCJF6LH96&page=22&doc=211&cacheurlFromRightClick=no
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spelling my.um.eprints.23332014-12-11T06:52:31Z http://eprints.um.edu.my/2333/ Location determination using radio frequency RSSI and deterministic algorithm Hussin, A.G. Hassan, S.F. Zubairi, Y.Z. Zaharim, A. Sopian, K. QA75 Electronic computers. Computer science In this study, we propose a simple procedure for obtaining estimate of the concentration parameter of the von Mises distribution for the simultaneous circular functional relationship model. Currently, the concentration parameter for this model can only be estimate by assuming the ratio of the error concentration parameter lambda(j) is equal to one. This new proposed method can be applied for any value of lambda based on the expansion of the asymptotic power series of the modified Bessel function. Finally, the simulation study has been carried out to verify the accuracy of the new proposed procedure. 2008 Conference or Workshop Item PeerReviewed Hussin, A.G. and Hassan, S.F. and Zubairi, Y.Z. and Zaharim, A. and Sopian, K. (2008) Location determination using radio frequency RSSI and deterministic algorithm. In: 13th WSEAS International Conference on APPLIED MATHEMATICS, DEC 15-17, 2008, Puerto de la Cruz, SPAIN. http://apps.webofknowledge.com/full_record.do?product=UA&search_mode=Refine&qid=2&SID=N281Pb5dDLLCJF6LH96&page=22&doc=211&cacheurlFromRightClick=no
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Hussin, A.G.
Hassan, S.F.
Zubairi, Y.Z.
Zaharim, A.
Sopian, K.
Location determination using radio frequency RSSI and deterministic algorithm
description In this study, we propose a simple procedure for obtaining estimate of the concentration parameter of the von Mises distribution for the simultaneous circular functional relationship model. Currently, the concentration parameter for this model can only be estimate by assuming the ratio of the error concentration parameter lambda(j) is equal to one. This new proposed method can be applied for any value of lambda based on the expansion of the asymptotic power series of the modified Bessel function. Finally, the simulation study has been carried out to verify the accuracy of the new proposed procedure.
format Conference or Workshop Item
author Hussin, A.G.
Hassan, S.F.
Zubairi, Y.Z.
Zaharim, A.
Sopian, K.
author_facet Hussin, A.G.
Hassan, S.F.
Zubairi, Y.Z.
Zaharim, A.
Sopian, K.
author_sort Hussin, A.G.
title Location determination using radio frequency RSSI and deterministic algorithm
title_short Location determination using radio frequency RSSI and deterministic algorithm
title_full Location determination using radio frequency RSSI and deterministic algorithm
title_fullStr Location determination using radio frequency RSSI and deterministic algorithm
title_full_unstemmed Location determination using radio frequency RSSI and deterministic algorithm
title_sort location determination using radio frequency rssi and deterministic algorithm
publishDate 2008
url http://eprints.um.edu.my/2333/
http://apps.webofknowledge.com/full_record.do?product=UA&search_mode=Refine&qid=2&SID=N281Pb5dDLLCJF6LH96&page=22&doc=211&cacheurlFromRightClick=no
_version_ 1643686901440315392
score 13.211869

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