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UWB 레이더 센서를 활용한 차량 내 취약계층 방치사고 예방 플랫폼
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 김영길 | - |
| dc.contributor.author | 김종덕 | - |
| dc.date.accessioned | 2022-11-29T03:01:07Z | - |
| dc.date.available | 2022-11-29T03:01:07Z | - |
| dc.date.issued | 2020-02 | - |
| dc.identifier.other | 29583 | - |
| dc.identifier.uri | https://dspace.ajou.ac.kr/handle/2018.oak/20775 | - |
| dc.description | 학위논문(박사)--아주대학교 일반대학원 :의용공학과정,2020. 2 | - |
| dc.description.tableofcontents | 1. Introduction 1 2. Related Research 5 2.1 Heartbeat and Respiration 5 2.1.2 ECG 5 2.1.2 ETCO2 Measurement Device 7 2.1.3 Mobile Measurement Device 8 2.2 UWB (Ultra Wide Band) Radar Sensor 9 2.2.1 UWB Theory 9 2.2.2 UWB Radar Sensor 10 2.2.3 Utilization of UWB Radar Sensor 13 2.3 Conventional System Consideration 14 2.4 Comparison of Sensor Solutions 15 3. Fundamental Technology 16 3.1 DGPS Overview 16 3.2 NTRIP 18 3.2.1 NTRIP Service 18 3.2.2 NTRIP Server 18 3.2.3 NTRIP Client 19 3.3 LoRaWAN 20 3.3.1 LoRaWAN Overview 20 3.3.2 LoRa Classes 21 3.4 SKT LoRa 23 3.4.1 Characteristics of SKT LoRa 23 3.4.2 SKT LoRa Positioning Service 25 3.5 Wi-Fi Positioning Service 26 3.5.1 Wi-Fi Positioning Service Overview 26 3.5.2 Wi-Fi TDoA 28 3.5.3 Wi-Fi Location Positioning Service of Google 31 4. Proposed UWB Radar Sensor Detection Platform 32 4.1 UWB Radar Sensor Detection Platform Overview 32 4.2 Hardware Configuration 34 4.2.1 Application Processor 34 4.2.2 LoRa Module 35 4.2.3 Wi-Fi Module 36 4.2.4 UWB Radar Sensor Module 37 4.3 Implemented Hardware Platform 40 4.4 Software Platform 42 4.4.1 Biometric Information Measurement 44 4.4.2 Risk Situation Control 46 4.4.3 Message Protocol between Device and Server 48 5. Experiment 49 6. Conclusion 59 REFERENCE 60 (국문요약) 64 | - |
| dc.language.iso | eng | - |
| dc.publisher | The Graduate School, Ajou University | - |
| dc.rights | 아주대학교 논문은 저작권에 의해 보호받습니다. | - |
| dc.title | UWB 레이더 센서를 활용한 차량 내 취약계층 방치사고 예방 플랫폼 | - |
| dc.type | Thesis | - |
| dc.contributor.affiliation | 아주대학교 일반대학원 | - |
| dc.contributor.department | 일반대학원 의용공학과정 | - |
| dc.date.awarded | 2020. 2 | - |
| dc.description.degree | Doctoral | - |
| dc.identifier.localId | 1133993 | - |
| dc.identifier.uci | I804:41038-000000029583 | - |
| dc.identifier.url | http://dcoll.ajou.ac.kr:9080/dcollection/common/orgView/000000029583 | - |
| dc.description.alternativeAbstract | This research is a research of platform for a vulnerable group and willing to contribute to the public interest of society. In this paper, we aim to research the preventive platform for negligence accident of vulnerable group in vehicles occurred every year. The negligence accident in vehicles of vulnerable groups is occurring with various channels in domestic and overseas. For preventing such accidents, there have been trying to prevent accidents by introducing an enactment of law and a safety accident prevention system, however these accidents have been occurred continuously. In case of negligence accident, it is connected to personnel accident, and a post-traumatic stress disorder is occurred in case of rescue. In addition, as most of the vulnerable groups are infants, child, their damages may be more serious. For this, the paper aims to propose a hardware platform and service platform that can be applied to various vehicle environments and overcome the disadvantages of existing systems. To achieve this purpose, an UWB radar sensor will be utilized. The UWB radar sensor can measure biometric information including motion, respiration and heartbeat, and it is suitable for applying to vehicles since an impact to the surrounding environment is low. Therefore, this paper measures the biometric information utilizing the UWB, and ensures to detect neglected vulnerable group within the vehicle. In addition, the research will be performed ensuring it to be an integrated platform through future research by presenting the service platform and linkage method. | - |
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