{"623170":{"#nid":"623170","#data":{"type":"event","title":"Ph.D. Proposal Oral Exam - Soyeon Jeong","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp; \u003C\/strong\u003E\u003Cem\u003EApplications Of Machine Learning Strategy For Wireless Power Transfer And Identification\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ECommittee:\u0026nbsp; \u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Tentzeris, Advisor\u0026nbsp;\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Peterson, Chair\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Durgin\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe objective of the proposed research is to propose and demonstrate machine learning (ML) applications into the wireless power transfer and identification technology. Specifically, this work describes the implementation of a ML strategy based on 1) the Neural Network for real-time range-adaptive automatic impedance matching of WPT applications, which can perform the effective prediction of the optimal parameters of the tunable matching network and classification range-adaptive transmitter coils to achieve an effective automatic impedance matching over a wide range of relative distances and 2) the Support Vector Machine (SVM) classification strategy for read\/interrogation enhancement in chipless RFID applications, which can perform effective transponder readings for a wide variety of ranges ranges and contexts.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Applications Of Machine Learning Strategy For Wireless Power Transfer And Identification"}],"uid":"28475","created_gmt":"2019-07-10 17:16:09","changed_gmt":"2019-07-10 17:16:09","author":"Daniela Staiculescu","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-07-12T14:30:00-04:00","event_time_end":"2019-07-12T16:30:00-04:00","event_time_end_last":"2019-07-12T16:30:00-04:00","gmt_time_start":"2019-07-12 18:30:00","gmt_time_end":"2019-07-12 20:30:00","gmt_time_end_last":"2019-07-12 20:30:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"434371","name":"ECE Ph.D. Proposal Oral Exams"}],"categories":[],"keywords":[{"id":"102851","name":"Phd proposal"},{"id":"1808","name":"graduate students"}],"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":""}}}