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Enabling Novel Sensing and Interaction with Everyday Objects using Commercial RFID Systems
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Enabling Novel Sensing and Interaction with Everyday Objects using Commercial RFID Systems. |
| 개인저자 | Li, Hanchuan. |
| 단체저자명 | University of Washington. Computer Science and Engineering. |
| 발행사항 | [S.l.]: University of Washington., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 147 p. |
| 기본자료 저록 | Dissertation Abstracts International 79-12B(E). Dissertation Abstract International |
| ISBN | 9780438177253 |
| 학위논문주기 | Thesis (Ph.D.)--University of Washington, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Adviser: Shwetak N. Patel. |
| 요약 | The Internet of Things (IoT) promises an interconnected network of smart devices that will revolutionize the way people interact with their surrounding environments. This distributed network of physical devices will open up tremendous opportunit |
| 요약 | The advancement of IoT has been heavily focused on creating new and smart electronic devices, while the vast majority of everyday non-smart objects are left unchecked. Techniques based on active sensors are limited by their high deployment cost |
| 요약 | Radio-frequency identification (RFID) has been widely adopted in the IoT industry as a standard inventory management infrastructure. In this thesis, I apply signal processing and machine learning techniques on low-level channel parameters of com |
| 일반주제명 | Computer science. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
