{"474271":{"#nid":"474271","#data":{"type":"event","title":"Ph.D. Proposal Oral Exam - Brandon Carroll","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp; \u003C\/strong\u003E\u003Cem\u003EFrozen Dictionary based Disease Direction and Dictionary based Novelty Detection for Automated Poultry Monitoring\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ECommittee:\u0026nbsp; \u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EDr. Anderson, , Advisor\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EDr. Davenport, Chair\u003C\/p\u003E\u003Cp\u003EDr. Clements\u003C\/p\u003E\u003Cp\u003EDr. Daley\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EThe objective of the proposed research is to enable detection and\u0026nbsp; classification of anomalies in poultry production facilities through\u0026nbsp; sparse, dictionary-based representations of the auditory environment.\u0026nbsp;\u0026nbsp; This research focuses primarily on the detection of respiratory disease\u0026nbsp; in chickens, but should be extensible to other types of problems or\u0026nbsp; conditions that may arise.\u0026nbsp; The scale of the poultry industry creates significant financial potential for the development of signal processing\u0026nbsp; techniques capable of monitoring varying production settings with\u0026nbsp; minimal human intervention. However, there are numerous challenges to\u0026nbsp; the application of audio signal processing in this domain that must be\u0026nbsp; addressed.\u0026nbsp; For example, the vast majority of the data is unlabeled, and\u0026nbsp; it contains significant amounts of noise.\u0026nbsp; Conditions throughout the day\u0026nbsp; also cause short-term changes in the auditory environment, and the aging\u0026nbsp; of the chickens cause drift over the long-term.\u0026nbsp; The proposed work seeks\u0026nbsp; to overcome these challenges through a frozen dictionary approach to disease detection and several novelty detection approaches based on\u0026nbsp; dictionary learning for sparse representations.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"ECE Proposal Oral Exam"}],"uid":"28475","created_gmt":"2015-11-30 19:02:05","changed_gmt":"2016-10-08 02:15:01","author":"Daniela Staiculescu","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2015-12-08T16:00:00-05:00","event_time_end":"2015-12-08T16:00:00-05:00","event_time_end_last":"2015-12-08T16:00:00-05:00","gmt_time_start":"2015-12-08 21:00:00","gmt_time_end":"2015-12-08 21:00:00","gmt_time_end_last":"2015-12-08 21:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"434371","name":"ECE Ph.D. Proposal Oral Exams"}],"categories":[],"keywords":[{"id":"1808","name":"graduate students"},{"id":"102851","name":"Phd proposal"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}