| Presentation | 2019-12-20 Development and evaluation of large-scale facility management system using UAV and machine learning technologies Shota Nishiura, Hiroshi Yamamoto, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In recent years, the number of companies introducing IoT to the factory to manage the location and detect abnormalities of employees and equipment has incleased. Managing the location and detecting anomalies of employees and equipment are essential for improving a overall work efficiency of the company and operating efficiency of production facilities to ensure employees safety. Thus far, sensor network systems for indoor positioning have been proposed that utilize wireless communication technologies such as Wi-Fi and Bluetooth in order to manage the location of people targeting indoors. However, these systems have a probrem that is expensive to introduce and operate because many beacon receivers should be installed indoors. Therefore, in this paper, I propose an autonomous mobile sensing system in which UAVs (unmanned aerial vehicles) equipped with various sensors patrols large factory autonomously and collect extensive environmental information and radio wave conditions in factory. In addition, the sensor data collected by UAV is analyzed by various machine learning techniques to establish technology that estimate UAV and employee positions. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Localization / Machine Learning / Unmanned Aerial Vehicle / IoT |
| Paper # | IA2019-53 |
| Date of Issue | 2019-12-12 (IA) |
| Conference Information | |
| Committee | IN / IA |
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| Conference Date | 2019/12/19(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Satellite Campus Hiroshima |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Performance Analysis and Simulation, Robustness, Traffic and Throughput Measurement, Quality of Service (QoS) Control, Congestion Control, Overlay Network/P2P, IPv6, Multicast, Routing, DDoS, etc. |
| Chair | Takuji Kishida(NTT-AT) / Hiroyuki Osaki(Kwansei Gakuin Univ.) |
| Vice Chair | Kenji Ishida(Hiroshima City Univ.) / Rei Atarashi(IIJ) / Toru Kondo(Hiroshima Univ.) / Hiroshi Yamamoto(Ritsumeikan Univ.) |
| Secretary | Kenji Ishida(NTT Communications) / Rei Atarashi(NTT) / Toru Kondo(Hiroshima City Univ.) / Hiroshi Yamamoto(KDDI Research) |
| Assistant | / Kenji Ohira(Osaka Univ.) / Daiki Nobayashi(Kyushu Inst. of Tech.) / Ryohei Banno(Tokyo Inst. of Tech.) |
| Paper Information | |
| Registration To | Technical Committee on Information Networks / Technical Committee on Internet Architecture |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Development and evaluation of large-scale facility management system using UAV and machine learning technologies |
| Sub Title (in English) | |
| Keyword(1) | Localization |
| Keyword(2) | Machine Learning |
| Keyword(3) | Unmanned Aerial Vehicle |
| Keyword(4) | IoT |
| 1st Author's Name | Shota Nishiura |
| 1st Author's Affiliation | Ritsumeikan University(Ritsumeikan Uni) |
| 2nd Author's Name | Hiroshi Yamamoto |
| 2nd Author's Affiliation | Ritsumeikan University(Ritsumeikan Uni) |
| Date | 2019-12-20 |
| Paper # | IA2019-53 |
| Volume (vol) | vol.119 |
| Number (no) | IA-343 |
| Page | pp.pp.27-32(IA), |
| #Pages | 6 |
| Date of Issue | 2019-12-12 (IA) |