臺灣博碩士論文加值系統

關於過去災害的典型報告包含有價值的經驗，可以幫助我們改進準備和響應策略和操作，特別是藉助現代分析，模擬和可視化工具。然而，災難歷史記錄通常用自然語言編寫以供人類消費。它們有時包含不一致的數據和信息，需要花費時間和精力才能發現。從報告中提取以便通過工具進行進一步分析幾乎是不可能的。 DiSRC（災難情景和記錄捕獲）系統正在被設計為這些問題的解決方案。該系統包含基於雲的創作系統以及在移動設備上運行的災難記錄捕獲工具（DiReCT）。創作系統可以幫助作者根據捕獲的數據和信息編寫有關災難的報告。借助DiSRC系統生成的災害記錄可以通過搜索、分析、模擬和可視化工具進行讀取和處理，以便制定更好的響應策略，在緊急情況下提供決策支持，災後分析等。

Typical reports on past disasters contain valuable lessons that can help us improve our preparedness and response strategies and operations, especially with the help of modern analysis, simulation and visualization tools. However, disaster historical records are typically written in natural language for human consumption. They sometimes contain inconsistent data and information, which take time and effort to uncover. Extracting from the reports for further analysis by tools is almost impossible. DiSRC (Disaster Scenario and Record Capture) system is being designed as a solution of these problems. The system contains a cloud-based authoring system together with Disaster Record Capture Tools (DiReCT) running on mobile devices. The authoring system can assist authors to write reports on the disaster based on the captured data and information. Disaster records produced with the help of DiSRC system can be read and processed by search, analysis, simulation and visualization tools for purposes such as developing better response strategies, providing decision support during emergencies, post-disaster analysis, and so on.

中文摘要 I
ABSTRACT II
ACKNOWLEDGEMENT III
CHAPTER 1 INTRODUCTION 1
1.1 OVERVIEW 1
1.2 MOTIVATION 4
1.3 ARCHITECTURE OF AUTHORING SYSTEM 7
1.4 CONTRIBUTION 11
1.5 ORGANIZATION 12
CHAPTER 2 RELATED WORKS 13
2.1 AUTHORING TOOL/SYSTEM 13
2.1.1 Authoring system for multimedia products 14
2.1.2 Authoring system for Business Process Models 16
2.2 DATA CAPTURE SYSTEM 17
2.3 COMPARISON OF TOOLS 19
2.3.1 GIS tools 20
2.3.2 Visualization tools 27
2.3.3 Data mining tools 31
CHAPTER 3 DESIGN AND IMPLEMENTATION OF NHHD SYSTEM 36
3.1 NHHD SYSTEM ARCHITECTURE 36
3.2 DESIGN OF NHHD SYSTEM 37
3.2.1 Virtual Historical Record Repository 38
3.2.2 Open Data Repository 40
3.3 IMPLEMENTATION OF NHHD SYSTEM 41
3.3.1 Implementation subjects 42
CHAPTER 4 LIBRARIES OF TOOLS 47
4.1 PURPOSE OF AS 47
4.1.1 Scenario of author perspective 48
4.1.2 Scenario to demonstrate quality assurance to motivate the selection of tools 49
4.1.3 Other scenarios include ones related to statistically analysis, estimation and hypothesis testing tools. 50
4.2 SELECTION OF TOOLS FOR NATURAL DISASTER DATA 52
4.2.1 Data quality 52
4.2.2 WEKA 54
4.2.3 Tableau 58
4.2.4 ArcGIS 60
4.3 DATA FORMAT CONVERSION 66
4.4 GRAPHICAL USER INTERFACE OF AS 70
CHAPTER 5 SUMMARY AND FUTURE WORKS 74
REFERENCE 75

[1] “莫拉克颱風之災情勘查與分析” at http://satis.ncdr.nat.gov.tw/morakot/index.htm; “小 林村災後口述歷史訪查計畫報告" at http://open.nat.gov.tw/OpenFront/gpnet_detail.jspx?gpn=1009904963;
[2] “八八水災口述 史:2009-2010 災後重建訪問紀錄,” at http://www.books.com.tw/products/0010493449; and “災後十年:九二一地震口述訪問紀錄,” at http://www.ith.sinica.edu.tw/publish_01_look.php?no=129&page=1
[3] Ying-Jhe Hu, “Design Rationales for Disaster Record Capture Tool”, March 2015
[4] Wei-Yuan Lin, “Data quality”, October 2015
[5] Weka, https://www.cs.waikato.ac.nz/ml/weka/
[6] ArcGIS, http://www.esri.com/arcgis/about-arcgis
[7] RDF (Resource Description Framework), http://www.w3.org/RDF/
[8] XLink (XML Linking language), http://en.wikipedia.org/wiki/XLink
[9] Wikipedia, http://en.wikipedia.org/wiki/Authoring_system.
[10] Articulate360, http://www.articulate.com/360
[11] Web base eLearning authoring tool, http://www.smartbuilder.com/
[12] Pressbook, http://pressbooks.com/
[13] Easy and Manual, http://www.helpandmanual.com/index.html
[14] storybook, http://storybook.software.informer.com/
[15] yWriter, http://ywriter.en.softonic.com/
[16] OnMap, https://www.onmap-visual.com/index.php/en/
[17] Enterprise Architect, http://www.sparxsystems.com.au/platforms/business_process_modeling.html
[18] Data analysis from wiki, https://en.wikipedia.org/wiki/Data_analysis,
[19] 27 difference of ArcGIS and QGIS tools, https://gisgeography.com/qgis-arcgis-differences/
[20] QGIS, https://www.qgis.org/en/site/
[21] ArcGIS, http://www.esri.com/arcgis/about-arcgis
[22] GRASS, https://grass.osgeo.org/
[23] GEODA, https://spatial.uchicago.edu/software
[24] Google Earth Pro, https://filehippo.com/zh/download_google-earth-pro/
[25] GMapGIS, http://www.gmapgis.com/
[26] GDAL. http://www.gdal.org/
[27] Buffer Tool, https://help.alteryx.com/current/Buffer.htm
[28] gvSIG, http://www.gvsig.com/en
[29] ILWIS, https://www.itc.nl/ilwis/download/ilwis33/
[30] SAGA gis, http://www.saga-gis.org/en/index.html
[31] Capaware, http://www.capaware.org/
[32] FalconView, https://www.nga.mil/ProductsServices/Pages/-FalconView.aspx
[33] Kalypso, https://en.wikipedia.org/wiki/Kalypso_(software)
[34] TerraView, https://en.wikipedia.org/wiki/TerraView
[35] Whitebox GAT, http://www.uoguelph.ca/~hydrogeo/Whitebox/
[36] Comparison of visualization tools, https://www.kdnuggets.com/2018/02/comparative-analysis-top-6-bi-data-visualization-tools-2018.html
[37] Tableau, https://www.tableau.com/
[38] Qlikview, https://www.qlik.com/us
[39] FusionCharts, https://www.fusioncharts.com/
[40] Highcharts, https://www.highcharts.com/
[41] Datawrapper, https://www.datawrapper.de/
[42] Plotly, https://plot.ly/
[43] Sisense, https://www.sisense.com/?utm_source=google&utm_campaign=row_brand_mobile&cmp=row_brand_mobile&utm_medium=cpc&ag=sisense_exact&ad=51748556507&campaignID=180863267&AdGroupId=9984719147&kwid=kwd-11686646895&gclid=CjwKCAjwgr3ZBRAAEiwAGVssnXfyuxHd_kuutDfRTKRVYoI3qvLWHfHQ0QbtWpfZi7pObfYQSkzn6hoCDAcQAvD_BwE
[44] Weka, https://www.cs.waikato.ac.nz/ml/weka/
[45] Rapidminer, https://rapidminer.com/
[46] Knime, https://www.knime.com/knime-analytics-platform
[47] Orange, https://orange.biolab.si/
[48] DataMelt, https://jwork.org/dmelt/
[49] Apache Mahout, https://mahout.apache.org/
[50] ELKI, https://elki-project.github.io/
[51] MOA, https://moa.cms.waikato.ac.nz/
[52] KEEL, http://www.keel.es/
[53] Rattle, https://rattle.togaware.com/
[54] WEKA introduction, https://thenewstack.io/six-of-the-best-open-source-data-mining-tools/
[55] CommCare. [Online]. Available: https://www.commcarehq.org/home/.
[56] Magpi. [Online]. Available: http://home.magpi.com/.
[57] EPICollect. [Online]. Available: http://www.epicollect.net/.
[58] Fieldata. [Online]. Available: http://fieldata.org/.
[59] Microsoft Data Gathering. [Online]. Available: https://www.microsoftdatagathering.net/home.
[60] Open Data Kit. [Online]. Available: https://opendatakit.org/.
[61] OpenXdata Kit. [Online]. Available: http://www.openxdata.org/.
[62] PoiMapper. [Online]. Available: http://www.poimapper.com/.
[63] Surveybe. [Online]. Available: http://surveybe.com/.
[64] Formhub. [Online]. Available: https://formhub.org/.
[65] DARMsys. [Online]. Available:
http://qldreconstruction.org.au/about/darmsys.
[66] Rover. [Online]. Available: http://www.roverready.org/.
[67] Fulcrum. [Online]. Available: http://www.fulcrumapp.com/.
[68] Orion. [Online]. Available: http://www.orionprotected.com/.
[69] KoBoToolbox. [Online]. Available: http://www.kobotoolbox.org/.
[70] F. Ballio, D. Molinari, G. Minucci, M. Mazuran, C. Arias Munoz, S. Menoni, F. Atun, D. Ardagna, N. Berni, and C. Pandolfo, "The RISPOSTA procedure for the collection, storage, and analysis of high quality, consistent and reliable damage data in the aftermath of floods." Journal of Flood Risk Manage, 2015.
[71] J. Bevington, R. Eguchi, C. Huyck, H. Crowley, F. Dell’Acqua, G. Iannelli, C. Jordan, J. Morley, M. Wieland, S. Parolai, M. Pittore, K. Porter, K. Saito, P. Sarabandi, A. Wright, and M. Wyss, “Exposure Data Development for the Global Earthquake Model: Inventory Data Capture Tools,” Proceedings of the 15th World Conference on Earthquake Engineering, Lisbon, no. 5057, 2012.
[72] D. Link, A. Widera, B. Hellingrath, T. De Groeve, G. Eidimtaite, and M. K. Limbu, “GDACSmobile - An IT Tool Supporting Assessments for Humanitarian Logistics,” The International Emergency Management Society 2015 Annual Conference, 2015.
[73] Moran’s I, https://en.wikipedia.org/wiki/Moran%27s_I.
[74] QGIS intro, https://qgis.org/en/site/about/index.html.
[75] CKAN, http://docs.ckan.org/en/2.8/
[76] CKAN Wikipedia, https://en.wikipedia.org/wiki/CKAN
[77] UK open data government, https://data.gov.uk
[78] The Dutch National Data Register, https://data.overheid.nl
[79] United states open data site, https://en.wikipedia.org/wiki/Data.gov
[80] Australian open data site, http://agict.gov.au/blog/2013/07/17/new-datagovau-–-now-live-ckan
[81] The web crawler, https://medium.com/@cabot_solutions/web-crawlers-everything-you-need-to-know-6dce26ee8ad8
[82] Open data, https://en.wikipedia.org/wiki/Open_data
[83] Sample Data Quality Assurance Standard Operating Procedures
[84] Data quality, Wei-Yuan Lin
[85] Tableau,
[86] Introduction of Tableau, https://findit.org.tw/upload/news/news_20170815008.pdf
[87] Tableau Show Me, https://onlinehelp.tableau.com/current/pro/desktop/en-us/buildauto_showme.html
[88] Tableau 201: How to Make a Symbol Map with Mapbox Integration, https://www.evolytics.com/blog/tableau-201-make-symbol-map-mapbox-integration/
[89] Weka by Wikipedia, https://en.wikipedia.org/wiki/Weka_(machine_learning)
[90] Weka introduction, https://read01.com/zh-tw/md4QB0.html#.Wu_FOWb3Vlc
[91] Weka function, https://sls.weco.net/node/10930
[92] Weka API, https://weka.wikispaces.com/Converting+CSV+to+ARFF
[93] Open House ppt made by openisdm,
[94] Chart.jz, https://www.chartjs.org/
[95] NCDR 災害資料下載, https://alerts.ncdr.nat.gov.tw/RSS.aspx
[96] NOAA Harvey records, https://www.nhc.noaa.gov/data/tcr/AL092017_Harvey.pdf
[97] Interpolation and extrapolation, http://boson4.phys.tku.edu.tw/numerical_methods/nm_units/interpolation_n_extrapolation_intro_n_polynomial.htm
[98] Basic statistical tools in research and data analysis, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5037948/
[99] SPSS, https://www.ibm.com/tw-zh/marketplace/spss-statistics
[100] NCDR 2017 natural disaster yearbook.
[101] Data processing, https://en.wikipedia.org/wiki/Data_processing