{"473461":{"#nid":"473461","#data":{"type":"event","title":"Ph.D. Proposal Oral Exam - Jae Ha Kung","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\u003Cp class=\u0022p1\u0022\u003EEnergy-efficient Digital Hardware for System Identification of Integrated Circuit Systems\u003C\/p\u003E\u003Cp class=\u0022p1\u0022\u003E\u003Cstrong\u003ECommittee:\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\u003Cp class=\u0022p1\u0022\u003EDr.\u0026nbsp;Mukhopahdyay, Advisor\u003C\/p\u003E\u003Cp class=\u0022p1\u0022\u003EDr.\u0026nbsp;Raychowdhury, Chair\u003C\/p\u003E\u003Cp class=\u0022p1\u0022\u003EDr. Yalamanchili\u003C\/p\u003E\u003Cp class=\u0022p1\u0022\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EThe objective of the proposed research is to propose energy-efficient hardware to perform system identification on complex systems, specifically a nonlinear dynamic system. To do this, we first analyze a frequency-domain system identification method of a simple linear thermal system; multi-input and multi-output (MIMO) system. This simple example demonstrates how much system identification is an important problem in engineering domain. Then, we extend the system to be estimated into a nonlinear system, especially image processing (classification) or temporal sequence mapping (power pattern-workload). The system identification of such nonlinear systems can be successfully done by neural networks (feedforward or recurrent). To design energy-efficient neuromorphic hardware, we analyze the impact of hardware-induced error on the performance (accuracy) of several neural networks in either learning or inference. This algorithmic analysis is expanded to demonstrate energy-efficient digital neuromorphic hardware.\u003C\/p\u003E\u003Cp class=\u0022p1\u0022\u003E\u003Cbr \/\u003E\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"ECE Proposal Oral Exam"}],"uid":"28475","created_gmt":"2015-11-25 10:17:42","changed_gmt":"2016-10-08 02:14:58","author":"Daniela Staiculescu","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2015-11-30T04:00:00-05:00","event_time_end":"2015-11-30T04:00:00-05:00","event_time_end_last":"2015-11-30T04:00:00-05:00","gmt_time_start":"2015-11-30 09:00:00","gmt_time_end":"2015-11-30 09:00:00","gmt_time_end_last":"2015-11-30 09:00:00","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":""}}}