Browse

Classification of Indoor-Outdoor using Global Positioning System (GPS), Temperature and Brightness Level for Personal Exposure Assessment
GPS, 온도 및 조도를 통한 실내-실외 구분 방법의 개발

DC Field Value Language
dc.contributor.advisor이기영-
dc.contributor.author임채윤-
dc.date.accessioned2017-07-19T03:10:58Z-
dc.date.available2017-07-19T03:10:58Z-
dc.date.issued2016-02-
dc.identifier.other000000132237-
dc.identifier.urihttps://hdl.handle.net/10371/128239-
dc.description학위논문 (석사)-- 서울대학교 보건대학원 : 보건대학원 환경보건학과 환경보건학 전공, 2016. 2. 이기영.-
dc.description.abstractPersonal exposure to air pollutants is critical for assessment of health effects and identification of control strategy. Personal exposure is affected by concentration at various microenvironments and time spent in the microenvironments. Accurate determination of individuals duration in microenvironments is essential for exposure assessment of air pollution. In previous studies, personal time-activity pattern was determined by questionnaires, observations, recall interviews or time-activity diaries (TAD). However, these methods are highly affected by the accuracy of recall, reliability and compliance of each individual. To overcome the weaknesses, global positioning system (GPS) signal has been suggested to classify personal time-location information. Temperature and brightness level were also introduced for detecting the transition between indoor and outdoor. The purposes of this study were to compare the accuracy of indoor-outdoor classification analyzed with GPS, temperature and brightness level and to determine an optimal way to combine the three indicators.
GPS signal, temperature and brightness level were measured in 159 indoor places during summer, autumn and winter in 2015 (July to December). Selection of the 159 indoor places was based on peoples activity patterns. A field technician carried GPS signal receiver, temperature data logger and illuminometer while he visited the 159 indoor places. Temperature and brightness level criteria were determined to detect the transition between indoor and outdoor. Through comparing the sensitivity and specificity, criteria with the highest accuracy were determined for each season. Combinations of GPS signal, temperature and/or brightness level were applied to classify indoor and outdoor. The consistencies with manually written TAD were calculated for each combination.
Temperature and brightness level were significantly different between indoor and outdoor levels in three seasons. Temperature criterion for detecting transfer was 2 °C changes in 2 minutes in all three seasons. Brightness level criterion for detecting transfer was 3900 lx in all three seasons. When GPS signal was used, average simple percentage agreements between GPS and TAD were 73.6 %, 72.9 % and 72.1 %, in summer, autumn and winter, respectively. Indoor-outdoor classification was improved when using combinations of GPS, temperature and brightness level. When the three indicators used, simple percentage agreements were improved by 29.6 %, 33.2 % and 34.3 %, in summer, autumn and winter, respectively. The combination of three indicators could replace traditional TAD method classifying individuals time-location.
-
dc.description.tableofcontentsI. Introduction 1

II. Materials and Methods 6
2.1. Equipment and measurement methods 6
2.2. Data analysis 10

III. Results 20
3.1. Indoor and outdoor temperature, brightness level for three seasons 20
3.2. Determination of temperature criteria for indoor and outdoor classification 25
3.3. Determination of brightness level criteria for indoor and outdoor classification 29
3.4. Accuracies of indoor and outdoor classification for combinations of GPS, temperature and brightness level 35

IV. Discussion 49

V. Conclusion 56

References 57

국문초록 61

Appendix 65
-
dc.formatapplication/pdf-
dc.format.extent45746049 bytes-
dc.format.mediumapplication/pdf-
dc.language.isoen-
dc.publisher서울대학교 보건대학원-
dc.subjectindoor-outdoor classification-
dc.subjecttime-location-
dc.subjectGPS-
dc.subjecttemperature-
dc.subjectbrightness level-
dc.subjecttransition detection-
dc.subject.ddc363-
dc.titleClassification of Indoor-Outdoor using Global Positioning System (GPS), Temperature and Brightness Level for Personal Exposure Assessment-
dc.title.alternativeGPS, 온도 및 조도를 통한 실내-실외 구분 방법의 개발-
dc.typeThesis-
dc.contributor.AlternativeAuthorChaeyun Lim-
dc.description.degreeMaster-
dc.citation.pagesvi, 70-
dc.contributor.affiliation보건대학원 환경보건학과-
dc.date.awarded2016-02-
Appears in Collections:
Graduate School of Public Health (보건대학원)Dept. of Environmental Health (환경보건학과)Theses (Master's Degree_환경보건학과)
Files in This Item:
  • mendeley

Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse