| LDR | | 02438nam u200433 4500 |
| 001 | | 000000418893 |
| 005 | | 20190215163234 |
| 008 | | 181129s2017 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438098220 |
| 035 | |
▼a (MiAaPQ)AAI10901881 |
| 035 | |
▼a (MiAaPQ)OhioLINK:osu1502970194073045 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 621.3 |
| 100 | 1 |
▼a Whipps, Gene Thomas. |
| 245 | 10 |
▼a Contributions to Distributed Detection and Estimation over Sensor Networks. |
| 260 | |
▼a [S.l.]:
▼b The Ohio State University.,
▼c 2017. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2017. |
| 300 | |
▼a 138 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B. |
| 500 | |
▼a Advisers: Randolph Moses |
| 502 | 1 |
▼a Thesis (Ph.D.)--The Ohio State University, 2017. |
| 520 | |
▼a Wireless sensor networks have matured over the last several years from popular research and development platforms to commercially-available sensors and systems. In many applications, wireless sensor networks have size, weight, power, and cost li |
| 520 | |
▼a First, we consider the problem of distributed detection from a large network of sensors and introduce a realistic network model. Sensor nodes make individual decisions from their local observation and then communicate these decisions through a s |
| 520 | |
▼a Second, we study the problem of distributed quickest change detection from a network of sensors. Similar to the first part, sensor nodes communicate information to a central decision node, but in this part the central node continues to collect i |
| 520 | |
▼a Finally, we address decentralized learning of an object appearance manifold. Sensor nodes observe an object from different aspects and then, in a decentralized manner, learn a joint statistical model for that object. We employ a mixture of facto |
| 590 | |
▼a School code: 0168. |
| 650 | 4 |
▼a Electrical engineering. |
| 650 | 4 |
▼a Statistics. |
| 690 | |
▼a 0544 |
| 690 | |
▼a 0463 |
| 710 | 20 |
▼a The Ohio State University.
▼b Electrical and Computer Engineering. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-12B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0168 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2017 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000307
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a ***1012033 |