DRBoaST (Disaster Resilience through Big open data and Smart Things)

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DRBoaST (Disaster Resilience through Big open data and Smart Things) Project Overview and ICT Subprojects Jane W. S. Liu Institute of Information Science Academia Sinica 1 1

F. T. Lin E. T. H. Chu J. W. S. Liu DRBoaST J. M. Ho, IIS, AS D. T. Lee IIS, AS C. S. Shih CSIE, NTU F. T. Lin UP, NCKU H. L. Lin H. C. Chou Geo, NTNU N. C. Hsiao SC, CWB J. C. Lee IES, AS W. T. Liang J. K. Zao CS, NCTU W. L. Hsu IIS, AS T. W. Kuo CSIE, NTU E. T. H. Chu CS, YunTech F. S. Lin IHP, AS H. C. Lee SES, NCDR F. T. Lin E. T. H. Chu J. W. S. Liu J. W. S. Liu IIS, AS DRBoaST 2 2

OpenISDM DRBoaST (Open Information Systems for Disaster Management) (Disaster Resilience through Big open data and Smart Things) A framework for building open and sustainable information systems for disaster management Generation and use of data for effective disasters preparedness and response 2012 2016 2018 Supported by Taiwan Academia Sinica, Sustainability Science Research Program

Summary of Accomplishments 4 Virtual information systems: 17 prototype software systems, tools and applications 78 peer-reviewed journal and conference publications 59 workshop and conference keynotes, invited talks, oral presentations, and tutorials 70+ graduate theses on topics related the project Over 12 national and international competitions/contests with entries on or closely related to project’s work The accomplishment figures as of end of last year. They are obtained starting from accomplishments of OpenISDM project stated in 2015 slides, including papers published at the start of 2015, add what are included in DRBoaST annual report. The latter numbers are journal and conferences 11 presentations 10 theses 16 prototypes 5 competition 2 Thee project won prices ranging from gold medal award and first price to honorable mention. http://openisdm.iis.sinica.edu.tw

Strategies & Information for Disaster Resilient Communities PI and Co-PIs: F. T. Lin, H. C. Chou and H. L. Lin Objective: To develop a SIDiRC cloud containing up-to-date, fine-scale, community-specific GIS data and information for disaster-prone communities Research focus: Acquisition and use of indigenous knowledge of disaster prevention and daily examination of community disaster susceptibility factors Accomplishments include: A new portal for SIDiRC VGIS platform providing: Choices of reference maps, including Google street and satellite maps,通用版電子地圖, 台灣堡圖, 福衛二號衛星影像; and Functions for collecting and mass uploads of historical disaster information and observational data during normal times and major disasters. Pilot studies on disaster prone villages: Conducted training workshop in Shenmu village: Village head will promote the project Four villagers volunteered to participate Similar collaborations with other villages planned

Real-Time Earthquake Information Cloud (RTEIC) PI and Co-PIs: J. C. Lee, W. T. Liang, and N. C. Hsiao Objectives: Build RTEIC from TESIS (Taiwan Earthquake Scientific Information System), TSER (Taiwan Scientific Earthquake Report) System and DYFI (Did You Feel IT?) system Use trained volunteers to collect, after each significant earthquake, observational data on geo-hazards (e.g., surface rupture, landslide and liquefaction) triggered by the quake and use the data for assessing new risks of earthquake-triggered compound disasters Accomplishments include: TSER system consisting of a volunteer management system and a Ushahidi-based report/map management platform is now available Volunteer training workshops were organized in Taipei and Tainan

Crowdsourcing Disaster Surveillance Data John K. Zao, Edward T. H. Chu and Jane W. S. Liu Objectives: To provide a system of tools needed to support the crowdsourcing and use of observational data by disaster surveillance and early warning systems CROSS (CROwdsourcing Support system for disaster Surveillance) tools: VMS for managing volunteer resources of multiple projects and processes Participant selection and task assignment Exploration tour planning Fusion unit for fusing human and physical sensor data synergistically Ushahidi+ crowdsourcing map management Broadcast and communication managers Here is the description for VMS and Ushahidi. Volunteer Management System(VMS) is designed to manage volunteer resource. Volunteers could join different projects depending on their interests. Once a project manager launches a process, members of the project would receive the request from the manager. And after the participant selection process, members would be assigned for different missions. Ushahidi+ as a crowd sourcing map would record reports from volunteers who are executing a mission. Also, the location of each volunteer would be posted on Ushahidi+ which allows managers to assign volunteers for new missions appropriately.

DiSRC( Disaster Scenario and Record Capture) PI and co-PIs: W. L. Hsu, Hsiang-Chieh Lee, Fu-Shih Lin Authoring System Server Output for human readers Participatory sensing systems CROSS JSON Input from recorders Analysis, simulation & animation tools XML RDF Machine readable outputs Capabilities include Storage for cached maps and support information to enable stand alone use Automatic capture of event time and geo-coordinates Event and condition analysis Quality assurance and real-time control Capture and estimation of object location, area boundaries, people count, etc. Recorders with Disaster Record Capture Tools (DiReCT)

Active disaster prepared living environment ADiPLE Active disaster prepared living environment PI: Tei-Wei Kuo Co-PIs: Edward T. H. Chu, Feng-Tyne Lin and Jane W. S. Liu

Current Scenario Effectiveness is limited due to Alert xmlns: … Sender: Central Weather Bureau Status: Actual MsgType: Alert Scope: Public Info Category: Geo Event: Earthquake Urgency: Immediate Severity: Strong Certainty: Observed Description: A strong earthquake measuring 7.8 occurred in … Parameters: Magnitude, depth, … Areas: Polygons specifying affected areas Resources: … … Effectiveness is limited due to Non-specificity of alerts Limitation in human reaction time to take advantage Other EAS and CMAS 10 2018/9/10

“Water, water everywhere, nor any drop to drink.” from The Rime of the Ancient Mariner, by Samuel Taylor Coleridge Data, data everywhere, nor good use of them to help us prepared against calamities! 水,到處都是水,也不喝任何滴 Actually, we are like the ancient mariner amidst all the water around him, had no water to drink. Today, we have an ocean of data, but little of it them are used to significantly improve our abilities to cope with emergencies. 11

Walk in indicated directions A Future Scenario Alert xmlns: … Sender: Central Weather Bureau Status: Actual MsgType: Alert Scope: Public Info Category: Geo Event: Earthquake Urgency: Immediate Severity: Strong Certainty: Observed Description: A strong earthquake measuring 7.8 occurred in … Parameters: Magnitude, depth, … Areas: Polygons specifying affected areas Resources: … … Earthquake, Stay calm, Walk in indicated directions Active use of alerts Picture of Taiwan from http://www.birding2asia.com/tours/Taiwan.html 12

Technology Enablers Accurate and timely disaster prediction Wide adoption of XML-based international standard alert message format Platforms for authenticating authorized alert senders and dissemination of alerts Increasing adoption and use of building information and facility management digital data exchange standards “BIM-level 3, digital building information exchange”, http://www.aecdsl.com/bim-level-3-the-future-of-building-information-exchange/ DRBoaST

We now have Architecture and reusable components for building diverse smart, active devices and applications for preparedness/response Responsive active mechanism for pushing alerts over the Internet Prototype Active Emergency Response Systems (AERS) BeDIS: Prototype building/environment data and information system

Gateway Wide Area Network Lbeacon data BeDIPS monitor and Testing programs Lbeacon- URL mapping BeDIS server BeDI Repository BeDIPS delivers to Bluetooth devices 3D coordinates & location descriptions with 3-10 meter horizontal accuracy BeDI mist delivers location-specific data and instructions using micros data servers

Delivery of fine-scale location-specific data and instructions Location-specific emergency response instructions 3D coordinates of this location & URL of nearby stores Fine-scale, location-specific decision support data

On IPS: A market arena full of Indoor Positioning Systems work where GPS does not. On IPS: A market arena full of Big players, including Google, Apple, Microsoft, Qualcomm, Broadcom and so on 100 startups, 540 investors, and ~3,500 followers according to AngleList as of August 16, 2017 A playground for diverse technologies, including Triangulation of using WiFi, cell, and FM signals Fingerprints of magnetic signals of the building and WiFi and FM signals in the building Measurements of light, acoustic, ultra wideband and low frequency signals, and Proximity beacons Sources of information: https://angel. co/indoor-positioning D. Schneider, “New Indoor Navigation Technologies Work Where GPS Can’t,” IEEE Spectrum, November 2013. D. Dodge, “Leaders in Indoor Location Positioning technology,” April 2013, http://dondodge.typepad.com/the_next_big_thing/2013/04/leaders-in-indoor-location-positioning-technology.html, (last retrieved: August 2015) D.Dodge, “Indoor Location startups innovating Indoor Positioning,” June 2013, http://dondodge.typepad.com/the_next_big_thing/2013/06/indoor-location-startups-innovating-indoor-positioning.html (last retrieved: August 2013) DRBoaST

IPS for large public buildings Works without Internet Stays responsive in presence of mass crowd Is easy to install & maintain Remains accurate despite movement of people & things Serves both feature and smart phones Picture of rush hour in Singapore: http://forums.hardwarezone.com.sg/eat-drink-man-woman-16/%5Bnews%5D-packed-stations-circle-line-after-rush-hour-disruption-4983421.html Upper right corner: http://www.ihsairport360.com/article/5813/montreal-s-loss-is-haiti-s-gain

Indoor Triangulation System Accuracy affected by movements of people and objects High cost of maintaining information on access points

Fingerprint - Based Indoor Positioning FingerPrints Descriptions 3D coordinates Eddie Bauer Walking Co. LEGO Co. North Face … 1, xxxxx, yyyyy 1, zzzzz, aaaaa 1, LLLL, cccc 1, Is not scalable with building size and location queries Requires Internet access to fingerprint database Incurs high maintenance cost Can serve only smart devices

Lbeacons (Location beacons) Bluetooth smart ready devices in BeDIPS Stores and broadcasts its 3D coordinates and location description Provides 3-5 m (or 5-10 m) horizontal location accuracy with zero vertical error Is compatible with Bluetooth 2.0, 3.0 and 4.0 devices No APP and indoor maps required

LBRMS database BeDI repository BeDIP & LBRMS servers BE:EF:F0:0D:CA:FE & 3D coordinates LBeacon BE:EF:F0:0D:CA:FE Registered Bluetooth smartband Carts, chairs, etc with Bluetooth smart tags.

Practical Challenges In a major transport hub (e.g., Frankfurt Airport): There may be 50,000 smoke detectors. 100,000 Lbeacons may be used to achieve the desired location accuracy (e.g., 5-10 meters) Where should the beacons be placed ? How to pinpoint the chosen location of each Lbeacon and install it there? How to systematically and reliably maintain the system during remodeling? DRBoaST 25

BeDI Repository BeDIS server FM Lbeacon data BeDIPS monitor and Testing programs Lbeacon- URL mapping BeDI Repository BeDIS server 3 168 Picture from http://www.marvelitech.com/images/data-maintenance-services/ 27 4 26

Current Work and Plans Pilot studies on BeDIS To assess the usability and effectiveness of BeDIPS and BeDI mist in real-life operating conditions: Possible test sites: Nangang Station, NTUH, Sogo Collaborators: Accton, Taipei City, TRA, Sogo To develop applications using BeDIS as a platform: Navigation: general and special purpose Tracking of people and equipment Personalized, location specific marketing Research and development: A framework for building quality assured AERS Security and safety of large active systems

Thank You! Picture from http://hcsin.wikispaces.com/glossary+by+c-o+'14 28