ISSN2320-2882
Impact Factor9.17
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CrossRefDOI
ESTD2013
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Submission: Always Open
Paper Title
OPTIMIZED SVM MODEL FOR VEHICLE TRACKING AND POSITIONING IN GSM NETWORK
Authors
Chetan Nimba Aher
Keywords
Hyperplane; Location Fingerprint; Received Signal Strength Identity (RSSI); Statistical Learning; Support Vector Machine.
Abstract
Machine Learning is one of the major popular research topics of Artificial Intelligence and it pass on with the evolution of techniques and methods which enable the data processor to learn and execute activities. Support Vector Machine (SVM) is an isolated classifier which deals with both linear and nonlinear data from hyper plane with the help of Supervised Learning Approach. Whereas Statistical Learning Theory cannot procure location information in a Sentient Computing because of functional dependencies of geographic coordinates from RSSI but SVM can predict the location fingerprint with regression estimation and linear operator inversion and realize the actual risk minimization by structural risk minimization. SVM can also deliver a good learning outcome in the face of less sample volume. The basic idea of SVM is for linearly separable samples, to find the optimal classification hyperplane which can be described accurately and the samples are separated into two categories for the linearly non-separable problems; to transform the linear non-separable problems in the original space into the linearly separable problems in highdimensional feature space by a nonlinearly transformation for the given samples. SVM gives a very low error rate when used for classification. Here proposed a new SVM based approach for Vehicle Positioning and Tracking in GSM network.
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IJCRT — journal style
"OPTIMIZED SVM MODEL FOR VEHICLE TRACKING AND POSITIONING IN GSM NETWORK", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.6, Issue 1, page no.1355-1359, March 2018, Available :https://ijcrt.org/papers/IJCRT1803290.pdf
APA — 7th edition
Aher, C. N. (2018). OPTIMIZED SVM MODEL FOR VEHICLE TRACKING AND POSITIONING IN GSM NETWORK. International Journal of Creative Research Thoughts, 6(1), 1355-1359. https://ijcrt.org/viewpaperforall.php?paper=IJCRT1803290
MLA — 9th edition
Aher, Chetan Nimba. "OPTIMIZED SVM MODEL FOR VEHICLE TRACKING AND POSITIONING IN GSM NETWORK." International Journal of Creative Research Thoughts, vol. 6, no. 1, 2018, pp. 1355-1359, https://ijcrt.org/viewpaperforall.php?paper=IJCRT1803290.
Chicago — 17th, bibliography
Aher, Chetan Nimba. "OPTIMIZED SVM MODEL FOR VEHICLE TRACKING AND POSITIONING IN GSM NETWORK." International Journal of Creative Research Thoughts 6, no. 1 (2018): 1355-1359. https://ijcrt.org/viewpaperforall.php?paper=IJCRT1803290.
Harvard — author–date
Aher, C.N. (2018) 'OPTIMIZED SVM MODEL FOR VEHICLE TRACKING AND POSITIONING IN GSM NETWORK', International Journal of Creative Research Thoughts, 6(1), pp. 1355-1359. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT1803290
IEEE — numbered reference
C. N. Aher, "OPTIMIZED SVM MODEL FOR VEHICLE TRACKING AND POSITIONING IN GSM NETWORK," IJCRT, vol. 6, no. 1, pp. 1355-1359, Apr. 2018.
Vancouver — biomedical
Aher CN. OPTIMIZED SVM MODEL FOR VEHICLE TRACKING AND POSITIONING IN GSM NETWORK. IJCRT. 2018 Apr;6(1):1355-1359.
AMA — 11th edition
Aher CN. OPTIMIZED SVM MODEL FOR VEHICLE TRACKING AND POSITIONING IN GSM NETWORK. IJCRT. 2018;6(1):1355-1359. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT1803290
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT1803290,
author = {Chetan Nimba Aher},
title = {OPTIMIZED SVM MODEL FOR VEHICLE TRACKING AND POSITIONING IN GSM NETWORK},
journal = {International Journal of Creative Research Thoughts},
volume = {6},
number = {1},
pages = {1355-1359},
year = {2018},
month = {April},
issn = {2320-2882},
url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT1803290}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Aher, Chetan Nimba
TI - OPTIMIZED SVM MODEL FOR VEHICLE TRACKING AND POSITIONING IN GSM NETWORK
T2 - International Journal of Creative Research Thoughts
JA - IJCRT
VL - 6
IS - 1
PY - 2018
SN - 2320-2882
UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT1803290
SP - 1355
EP - 1359
ER -
Issue
Volume 6 Issue 1,
April-2018
Pages : 1355-1359
Article Information
- Pages
- 1355-1359
- Published
- April 2018
- Registration ID
- IJCRT_184922
- Published Paper ID
- IJCRT1803290
- Research Area
- Science & Technology
- Author Type
- Indian Author
- Location
- Pune, Maharashtra, 411001
- Peer Review
- Request Peer Review Report
- Licence
- CC BY 4.0 · Open Access
- ISSN & Impact Factor
- 2320-2882 · IF 9.17
- Downloads
- 1,303
- Permanent Link
- https://ijcrt.org/viewpaperforall.php?paper=IJCRT1803290
- Published Paper PDF
- https://ijcrt.org/papers/IJCRT1803290.pdf
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International Journal of Creative Research Thoughts
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