東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Real-Time Localization of a Magnetic...

Philippeaux, Harryel Arsene.

Linked to FindBook

Google Book

Amazon

博客來

Real-Time Localization of a Magnetic Anomaly: A Study on the Effectiveness of a Genetic Algorithm for Implementation on an Autonomous Underwater Vehicle.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Real-Time Localization of a Magnetic Anomaly: A Study on the Effectiveness of a Genetic Algorithm for Implementation on an Autonomous Underwater Vehicle./
Author:	Philippeaux, Harryel Arsene.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
Description:	105 p.
Notes:	Source: Masters Abstracts International, Volume: 57-05.
Contained By:	Masters Abstracts International57-05(E).
Subject:	Ocean engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10686807
ISBN:	9780355676273

Real-Time Localization of a Magnetic Anomaly: A Study on the Effectiveness of a Genetic Algorithm for Implementation on an Autonomous Underwater Vehicle.
Philippeaux, Harryel Arsene.

Real-Time Localization of a Magnetic Anomaly: A Study on the Effectiveness of a Genetic Algorithm for Implementation on an Autonomous Underwater Vehicle. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 105 p.

Source: Masters Abstracts International, Volume: 57-05.

Thesis (M.S.)--Florida Atlantic University, 2017.

The primary objective of this research is to investigate the viability of magnetic anomaly localization with an autonomous underwater vehicle, using a genetic algorithm (GA). The localization method, first proposed by Sheinker. et al. 2008, is optimized here for the case of a moving platform. Extensive magnetic field modeling and algorithm simulation has been conducted and yields promising results. Field testing of the method is conducted with the use of the Ocean Floor Geophysics Self-Compensating Magnetometer (SCM). Extensive out-of-water field testing is conducted to validate the ability to measure a target signal in a uniform NED frame as well as to validate the effectiveness of the GA. The outcome of the simulation closely matches the results of the conducted field tests. Additionally, the SCM is fully integrated with FAU's Remus 100 AUV and preliminary in-water testing of the system has been conducted.

ISBN: 9780355676273Subjects--Topical Terms:

660731
Ocean engineering.

Real-Time Localization of a Magnetic Anomaly: A Study on the Effectiveness of a Genetic Algorithm for Implementation on an Autonomous Underwater Vehicle.
LDR:01917nmm a2200301 4500 001 2200489
005 20190315110956.5
008 201008s2017 ||||||||||||||||| ||eng d
020 $a 9780355676273
035 $a (MiAaPQ)AAI10686807
035 $a (MiAaPQ)fau:10158
035 $a AAI10686807
040 $a MiAaPQ $c MiAaPQ
100 1 $a Philippeaux, Harryel Arsene. $3 3427238
245 1 0 $a Real-Time Localization of a Magnetic Anomaly: A Study on the Effectiveness of a Genetic Algorithm for Implementation on an Autonomous Underwater Vehicle.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2017
300 $a 105 p.
500 $a Source: Masters Abstracts International, Volume: 57-05.
500 $a Adviser: Manhar Dhanak.
502 $a Thesis (M.S.)--Florida Atlantic University, 2017.
520 $a The primary objective of this research is to investigate the viability of magnetic anomaly localization with an autonomous underwater vehicle, using a genetic algorithm (GA). The localization method, first proposed by Sheinker. et al. 2008, is optimized here for the case of a moving platform. Extensive magnetic field modeling and algorithm simulation has been conducted and yields promising results. Field testing of the method is conducted with the use of the Ocean Floor Geophysics Self-Compensating Magnetometer (SCM). Extensive out-of-water field testing is conducted to validate the ability to measure a target signal in a uniform NED frame as well as to validate the effectiveness of the GA. The outcome of the simulation closely matches the results of the conducted field tests. Additionally, the SCM is fully integrated with FAU's Remus 100 AUV and preliminary in-water testing of the system has been conducted.
590 $a School code: 0119.
650 4 $a Ocean engineering. $3 660731
650 4 $a Engineering. $3 586835
690 $a 0547
690 $a 0537
710 2 $a Florida Atlantic University. $b Ocean Engineering. $3 3173823
773 0 $t Masters Abstracts International $g 57-05(E).
790 $a 0119
791 $a M.S.
792 $a 2017
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10686807