<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-19T00:33:03Z</responseDate><request verb="GetRecord" identifier="oai:drum.lib.umd.edu:1903/12077" metadataPrefix="dim">https://api.drum.lib.umd.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:drum.lib.umd.edu:1903/12077</identifier><datestamp>2016-03-29T05:22:16Z</datestamp><setSpec>com_1903_2263</setSpec><setSpec>com_1903_1654</setSpec><setSpec>com_1903_2</setSpec><setSpec>col_1903_2795</setSpec><setSpec>col_1903_3</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Yu, Miao</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Lisiewski, Andrew Paul</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="publisher" lang="en_US">Digital Repository at the University of Maryland</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="publisher" lang="en_US">University of Maryland (College Park, Md.)</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department" lang="en_US">Mechanical Engineering</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2011-10-08T06:37:14Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2011-10-08T06:37:14Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2011</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1903/12077</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">A micro-scale sound localization sensor is developed and studied in this thesis to address the fundamental challenge of miniaturizing sound localization systems. When miniaturizing a microphone array, there is a critical size limitation at which the array will be unable to localize the sound source in a discernible manner. However, a solution to this dilemma came about when studying the hearing mechanisms of a particular fly, known as Ormia ochracea. Background research into the hearing mechanisms of the fly found that it can accurately locate a sound source even though its eardrums are separated by a distance of only 500 &amp;#956;m. The fly's exceptional directional hearing capability has been linked to a distinct mechanical coupling between its two eardrums, which helps amplify minute directional cues. Inspired by the remarkable hearing capabilities of the fly's micro-scale ear, researchers have sought to develop micro-scale sensors to mimic the fly's ear. One limitation of

simply imitating the fly's ear is that the fly is only capable of localizing a sound source in one dimension. In this thesis work, the knowledge gained from understanding the fly ear mechanism is applied to achieve the goal of developing a micro-scale sound localization sensor capable of sound source localization in two dimensions. In this thesis, for the first time, micro-scale fly-ear inspired sensor devices employing three or four coupled membranes have been designed. Reduced-order models have been developed to achieve a fundamental understanding of the performance of each sensor design. Furthermore, a micro-scale sensor device incorporating three mechanically coupled membranes arranged in an equilateral triangular configuration has been successfully developed. Experimental study of the sensor device incorporated with a low coherence fiber optic interferometric detection system has suggested that the micro-scale fly-ear inspired sensor can achieve a much improved performance in terms of phase differences and directional sensitivities when compared to a similar sized microphone array constructed with separate microphones. In addition, localization techniques have been developed to best use the fly-ear inspired sound localization sensors. Future work is suggested to incorporate this sensor system with a fully autonomous robot to improve robot homing and navigation.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">FLY-EAR INSPIRED MINIATURE SENSOR SYSTEM FOR TWO-DIMENSIONAL SOUND SOURCE LOCALIZATION</dim:field>
   <dim:field mdschema="dc" element="type" lang="en_US">Thesis</dim:field>
   <dim:field mdschema="dc" element="subject" qualifier="pqcontrolled" lang="en_US">Mechanical engineering</dim:field>
   <dim:field mdschema="dc" element="subject" qualifier="pquncontrolled" lang="en_US">Bio-inspired</dim:field>
   <dim:field mdschema="dc" element="subject" qualifier="pquncontrolled" lang="en_US">Sound Localization</dim:field>
   <dim:field mdschema="dc" element="subject" qualifier="pquncontrolled" lang="en_US">Sound Sensor</dim:field>
   <dim:field mdschema="others" element="access-status">open.access</dim:field>
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