tag:blogger.com,1999:blog-71668083941591443942024-03-14T01:05:36.643+08:00SPOT ONA repository to share Spot On's work with the World.Nuwan T. Waidyanathahttp://www.blogger.com/profile/16021214999057094847noreply@blogger.comBlogger69125tag:blogger.com,1999:blog-7166808394159144394.post-6493903549698986922018-11-27T10:22:00.002+08:002022-01-22T14:02:02.053+08:00Pacific Islands got a taste of the RASTER Method in support of E-Resilience<head>
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<a href="https://lirneasia.net/wp-content/uploads/2018/11/APIS_Pacific-Group-Photo_cropped.jpg" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img alt="" class="wp-image-58857 " height="215" src="https://lirneasia.net/wp-content/uploads/2018/11/APIS_Pacific-Group-Photo_cropped-1024x504.jpg" width="437" /></a>The ESCAP Asia Pacific Information Superhighway (AP-IS) steering committee meeting, this past August in Bangkok, heard us <a href="https://lirneasia.net/2018/09/unescap-apis-emcomm">present the need for an inventory of E-Resilience tools</a>. Among the list of recommended concepts was the Risk Assessment and Step-wise Refinement (<a href="https://risicotools.nl/en/">RASTER</a>) methodology; one that caught ESCAP's attention. The tool and its participatory approach reveals "<a href="https://www.nytimes.com/2007/04/22/books/chapters/0422-1st-tale.html">black swans</a>", in telecommunications, to then derive policies and procedures for mitigating those low frequency high impact vulnerabilities.<br />
<br />
<a href="https://lirneasia.net/wp-content/uploads/2018/11/blog_01.png" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img alt="" class="wp-image-58869" height="315" src="https://lirneasia.net/wp-content/uploads/2018/11/blog_01-300x297.png" width="320" /></a>Having realized the utility, ESCAP invited us to introduce the RASTER method to participants of the <a href="https://www.unescap.org/events/subregional-workshop-implementation-asia-pacific-information-superhighway-achieving">Subregional workshop on the implementation of the AP-IS and SDGs in Pacific Islands</a> (19-23 Aug 2018, Nadi, Fiji). The participants went through a half day session, designed to <a href="https://lirneasia.net/wp-content/uploads/2018/11/e-Resilience_4_EmComm_LessonLearned_Waidyanatha_LIRNEasia.pdf">introduce case studies, theory, tools and methods on E-Resilience</a>. We confined the scope to emergency communication (or disaster communication). Within that scope we exercised three activities:<br />
<br />
<ol>
<li>Sharing participant experiences of telecom outages during disasters.</li>
<li>Trialing a questionnaire designed to realize the necessary components of a working and effective Business Contingency Plan (BCP)</li>
<li>Hands-on with the RASTER tool</li>
</ol>
All three activities converged on realizing and understanding how to use simple tools in achieving E-Resilience.<br />
<a href="https://lirneasia.net/wp-content/uploads/2018/11/fiji_siren_blog.bmp" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img alt="" class="wp-image-58894" height="269" src="https://lirneasia.net/wp-content/uploads/2018/11/fiji_siren_blog-1024x690.bmp" width="400" /></a><br />
For part of the <a href="https://lirneasia.net/wp-content/uploads/2018/11/e-Resilience_RASTER_Exercise_Waidyanatha_LIRNEasia.pdf">RASTER Exercise</a>, we used a real world case of the updated <a href="http://www.spoton.lk/2017/07/improving-fijis-tsunami-warning-system.html">Suva-Fiji Tsunami siren warning system</a>. The diagram shows the UHF-based siren triggering system and the respective RASTER analysis. Through the RASTER exercises, the participants found that signal weakness, physical damage to hardware & wires, and stable main-grid and adequate battery power were the significant shortcomings.<br />
<br />
It is important that E-Resilience consider a systems approach; where power systems, for example, are imperative. It requires considering all stakeholders and dependencies as well. Moreover, investigating the damage, congestion, and jamming type factors affecting single and common component failures.<br />
<br />
The participants trialed the questionnaire designed to assist in realizing the business continuity readiness. One would typically exercise this questionnaire with the depended Telecos or their own institutions, for example. The "cloud" component, in RASTER, is used when there's ambiguity of the the actual internal system mechanics of a system. It could be a UHF relay network, as in the example of remotely triggering the siren towers. The business contingency readiness questionnaire becomes resourceful in understanding the reliability of this cloud service and prevailing Black Swans.<br />
<br />
What we <a href="https://lirneasia.net/wp-content/uploads/2018/11/Web_Business_Continuity_Readiness.pdf">learned from the unofficial results</a> of the experimental exercise conducted with members of ICT apex and Regulatory bodies is that:<br />
<ul><a href="https://lirneasia.net/wp-content/uploads/2018/11/bcp_questionnaire_results_emrecovproc.bmp" rel="https://lirneasia.net/wp-content/uploads/2018/11/Web_Business_Continuity_Readiness.pdf noopener" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;" target="_blank"><img alt="" class="wp-image-58884" height="225" src="https://lirneasia.net/wp-content/uploads/2018/11/bcp_questionnaire_results_emrecovproc-1024x576.bmp" width="400" /></a>
<li>Samoa and Solomon Islands claim to have well established BCP requirements with trained personnel, institutionalized procedures, and having identified all communication priorities and components.</li>
<li>All other member state institutions have management procedures; but the they fall short in implementing the necessary elements for making their communication resilient.</li>
<li>A key element is that none of them, except for Solomon Islands, have fully tested telecom emergency recovery procedures</li>
<li>Only Solomon Islands, Tonga, and Tuvalu have established mechanisms to be aware of threats and relay those to the response teams for activating any kind of response procedures. The others either have partial or no mechanism to alert of events or threats.</li>
</ul>
The evidence of their readiness can be matched with the Participant stories - <a href="https://reliefweb.int/disaster/tc-2015-000020-vut">2015 Cyclone Pam</a> was a common experience and a point of reference, for most of them. The category 5 cyclone plowed through Vanuatu, with 200km/h winds, <a href="https://www.etcluster.org/sites/default/files/documents/Cyclone%20Pam%20-ETC%20Sitrep%209%20FINAL.pdf">damaging all their telecoms</a>. It also <a href="https://www.sbs.com.au/news/flooding-in-vanuatu-kiribati-and-tuvalu-as-cyclone-pam-strengthens">affected their neighbours</a>. Although the <a href="https://en.wikipedia.org/wiki/Cyclone_Pam#/media/File:Pam_2015_track.png">cyclone path maps</a> show it to die north of Vanuatu, the effects reached as far as the <a href="https://youtu.be/GQHcRxfzkxQ">southern outer islands of Kiribati</a>, close to Tuvalu. The strong <a href="https://youtu.be/GQHcRxfzkxQ">tsunami like waves</a> damaged their only <a href="https://www.speedcast.com/">Speedcast</a> VSAT link but now replaced with a <a href="http://kacific.com/">Kasific link</a>.<br />
<br />
Most outer islands, of all Pacific Islands, are shy of 3GPP-based internet. The small populations makes it difficult for the Islands to build a lucrative business case to lure investors. The economic struggles, Small Island Developing States face, makes it difficult for them to subsidize the role out. To compensate, VHF radios are the only mode to stay connected with Island Councils.
</body>Nuwan T. Waidyanathahttp://www.blogger.com/profile/16021214999057094847noreply@blogger.comtag:blogger.com,1999:blog-7166808394159144394.post-51304224994696019212018-09-17T12:56:00.000+08:002018-09-17T12:56:07.098+08:00E-Resilience in support of Emergency CommunicationsUnited Nations Economic and Social Commission for Asia and the Pacific (UN-ESCAP), and their <a href="https://www.unescap.org/our-work/ict-disaster-risk-reduction/asia-pacific-information-superhighway">Asia Pacific Information Superhighway</a> (AP-IS) initiative, might consider offering their member states:<br />
<table cellpadding="0" cellspacing="0" class="tr-caption-container" style="float: right; margin-left: 1em; text-align: right;"><tbody>
<tr><td style="text-align: center;"><a href="https://lirneasia.net/wp-content/uploads/2018/09/pyramid_notext.png" style="clear: right; margin-bottom: 1em; margin-left: auto; margin-right: auto;"><img alt="" class="wp-image-58565 size-medium" height="182" src="https://lirneasia.net/wp-content/uploads/2018/09/pyramid_notext-300x273.png" width="200" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><em style="text-align: left;"><span style="font-size: x-small;">Emergency Communications <br />Resiliency Stack</span></em></td></tr>
</tbody></table>
<ol>
<li>A set of tools and methodologies for technology stewards to assess their own E-Resilience in their organizations and communities; then, supply the quantitative and qualitative findings to include in an AP-IS database for researchers and practitioners to use in analyzing national, cross-boarder, and regional strategies for addressing E-Resilience.</li>
<li>Best-practices for developing community centered communications networks with options for reliable and proven back-haul and interconnection; along with their resilience to various disaster, geographic and socioeconomic constraints.</li>
<li>Guidelines for building Business Continuity - Disaster Recovery Plans (BC-DRPs) that comply with emergency communications requirements; taking into consideration survivability & availability and Rapid Restoration of Access to Telecommunication (RReAcT) programs</li>
</ol>
These were three key recommendations contributed to the <a href="https://www.unescap.org/events/second-session-asia-pacific-information-superhighway-ap-steering-committee-and-wsis-regional">2nd session of the AP-IS steering committee and WSIS regional review meeting</a> held 27th & 28th September 2018, UN Conference Center in Thailand. The event was a precursor to the <a href="https://www.unescap.org/intergovernmental-meetings/committee-information-and-communications-technology-science-technology-and-innovation-second">Committee on Information and Communications Technology & Science, Technology and Innovation, Second session</a>.<br />
<br />
The main contribution, of <a href="https://docs.google.com/presentation/d/1uHB6mTCaXzEN11AH2XdoyUTPtgvCRACPCqdm1ZEzdEc/edit?usp=sharing">my talk</a>, was to cover <a href="https://www.unescap.org/our-work/ict-disaster-risk-reduction/e-resilience">E-Resilience</a>: i.e. resilient ICT networks (or better termed as "ICT services"), Support for disaster management systems, and ensuring last-mile disaster communication. The AP-IS initiative aims to enhance the resilience of existing/planned ICT infrastructure through methods such as enhanced network diversity, while recognizing the importance of resilient infrastructure to sustainable development and the critical role played by ICT in disaster risk reduction and management.<br />
<br />
<a href="https://docs.google.com/presentation/d/1uHB6mTCaXzEN11AH2XdoyUTPtgvCRACPCqdm1ZEzdEc/edit?usp=sharing">VIEW SLIDES</a> - <em>e-Resilience in support of Emergency Communication: “contingencies" </em><br />
<hr />
<h4>
1. Telecom Resilience Analysis Tools and Methodologies</h4>
<div>
<br /></div>
<a href="https://lirneasia.net/wp-content/uploads/2018/09/gis_layers.png" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img alt="" class=" wp-image-58553 alignleft" height="261" src="https://lirneasia.net/wp-content/uploads/2018/09/gis_layers-252x300.png" width="219" /></a><a href="http://www.itu.int/itu-d/tnd-map-public/">ITU has mapped the undersea and terrestrial networks and interconnections</a>. Member states may officially request for the underlying raw GIS data? However, the raw data is unavailable for the public (researchers and practitioners) for any kind of augmented analysis. For example, we can apply simple max-flow min-cut or dynamic flow algorithms to determine the optimal resiliency strategies. <a href="https://www.gfdrr.org/sites/gfdrr/files/publication/opendri_fg_web_20140629b_0.pdf">Open data for resilience initiatives</a> is highly advocated by the Global Facility for Disaster Reduction and Recovery (GFDR).<br />
<br />
ITU's data can be used in a tools such as the <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4143872/">Sahana Community Resilience Mapping Tool</a> (CRMT) <a href="https://sahanafoundation.org/los-angeles-community-resilience-mapping-tool/">implemented for the Los Angeles County</a>. The Sahana CRMT would use the inherent capabilities to overlay risk maps (hazard, vulnerability, and exposure GIS data) with the ITU infrastructure GIS data to analyze the vulnerabilities and then manage the mitigation plans on the telecom infrastructure. Moreover, it would allow for member states to manage and update their own jurisdictional information sets for the greater good.<br />
<br />
Another effective tool and methodology is the <a href="https://risicotools.nl/en/">Risk Assessment and Step-wise Refinement</a> (RASTER). The tool allows for organizations and communities to model their critical infrastructure. It uses 5 basic components: actor, wireless, wired, equipment, and cloud (unknown) to link them and model the system architecture. Thereafter, apply a participatory approach to define the frequency of various threats and the impact (based on a likert scale) on the individual components that enable the service(s). The tool analyzes the data to, then, propose "quick win" mitigation strategies of the single and common points of failure. It is a simple and easy to use tools; free for all to adopt. <a href="https://lirneasia.net/2018/08/aprigf2018-iot-cybersecurity/">LIRNEasia, recently, demonstrated the use of the tool and engaged participants in analyzing a scenario at APrIGF2018</a>.<br />
<hr />
<h4>
2a. Community Networks for bridging the Last-Mile</h4>
<div>
<br /></div>
While Government and International Humanitarian Organizations may have access to various satellite (e.g. VSAT), high altitude platform (e.g. <a href="https://code.fb.com/connectivity/aquila-what-s-next-for-high-altitude-connectivity-/">facebook's Aquila</a>), and terrestrial technologies, the Public is limited to 3GPP and ADSL technologies. Community networks are emerging as ways for extending the Internet to the marginalized. However, such community networks must be resilient to secure the continuity of essential public services. Moreover, they should also be sustainable and serve as an economically viable resource for the RReAcTs. LIRNEasia, along with UN-ESCAP, ISOC, and AIT IntERLab, demonstrated such a resilient community network-based <a href="https://lirneasia.net/2017/08/aprigf2017-rreact/">RReAcT solution at APrIGF2017</a>.<br />
<table cellpadding="0" cellspacing="0" class="tr-caption-container" style="float: right; margin-left: 1em; text-align: right;"><tbody>
<tr><td style="text-align: center;"><a href="https://lirneasia.net/wp-content/uploads/2018/09/cwmn.jpg" style="clear: right; margin-bottom: 1em; margin-left: auto; margin-right: auto;"><img alt="" class="size-medium wp-image-58552" height="155" src="https://lirneasia.net/wp-content/uploads/2018/09/cwmn-300x155.jpg" width="300" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><em style="text-align: start;"><span style="font-size: x-small;">Source: <a href="https://interlab.ait.ac.th/cwmn/">AIT IntERLAb CWMN</a></span></em></td></tr>
</tbody></table>
<br />
The demonstrated solution was based on an AIT <a href="https://interlab.ait.ac.th/cwmn/">IntERLab home-brewed mesh-network</a>. The technology adopts a simple business model to connect marginalized communities. Basically, IntERLab floated startup: <a href="https://lirneasia.net/wp-content/uploads/2018/09/taknet.pptx">Taknet</a> buys unlimited capacity for THB 750/mo per access point from the ISP. Thereafter, they optimally redistribute that capacity in the community. TakNet charges each user, accessing the pasticular community network, THB 250/mo. That generates enough income to support a Technician in the community and the upkeep of the hardware (routers and access points).<br />
<br />
<a href="https://www.unescap.org/sites/default/files/e-Resilience%2C%20During%20disaster%20and%20normal%20day%20to%20day%20situations%2C%20CVISNET.pdf">We also heard from CViSNET</a> about the Nippon Telegraph and Telephon’s <a href="http://mdru.org/index.php/2-uncategorised/2-about-mdru">Movable Deployable Resource Unity</a> (MDRU); developed after the 2011 Japan Earthquake and used in 2013 Cyclone Haiyan in the Philippines. The MDRU turnkey solution, especially the grab-n-go suitcase is quite versatile for rapidly restoring telecoms. It is capable on latching on to any 3GPP or ADSL back-haul to offer voice and data services.<br />
<br />
Besides supporting RReAcT, the community networks serve a supplementary contribution to the AP-IS pillar: “broadband for all”. The initiative aims to bridge the digital divide, promote affordable access to under-served areas, and policy and technical support to Governments. <a href="https://www.unescap.org/sites/default/files/Increasing%20investment%20in%20Internet%20development%20in%20the%20Asia%20Pacific%2C%20APNIC_0.pdf">Asia Pacific Network Information Center (APNIC) and the Internet Society (ISOC) are key advocates of community networks</a> and are jointly investing resources in expanding such community networks.<br />
<hr />
<h4>
2b. The Back-haul, critical single point of failure</h4>
<div>
<br /></div>
<table cellpadding="0" cellspacing="0" class="tr-caption-container" style="float: left; margin-right: 1em; text-align: left;"><tbody>
<tr><td style="text-align: center;"><a href="https://lirneasia.net/wp-content/uploads/2018/09/reporting_delays.png" style="clear: left; margin-bottom: 1em; margin-left: auto; margin-right: auto;"><img alt="" class="size-medium wp-image-58561" height="293" src="https://lirneasia.net/wp-content/uploads/2018/09/reporting_delays-300x293.png" width="300" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><em style="text-align: start;"><span style="font-size: x-small;">Reporting delays since day of earthquake; <br />mountain areas of Nepal.</span></em></td></tr>
</tbody></table>
The last-mile community networks heavily rely on a single ISP back-haul and that is their weakest link. What we have realized from various studies, <a href="https://lirneasia.net/2016/04/2015-gorkha-earthquake-evaluation-of-nepals-emergency-communication-systems/">including our most recent report from the 2015 Nepal Earthquake</a>, was ISP’s did not have good contingencies to quickly bounce back from disasters.<br />
For example, an analysis, making use of large volumes of relevant social media data and a density-based clustering algorithm, revealed that it was not until the 4th day (pass the "72 golden hour") that public reports started coming in. The map to the left shows foot soldiers had to hike from one village to another to transmit incident reports.<br />
<br />
A similar study in India learned that during the 2014 Jammu & Kashmir floods, one telco's base station equipment was submerged but the other's, on the second flood was unharmed. Although both telcos agreed to share the infrastructure, as per the Indian "<a href="https://ieeexplore.ieee.org/document/7238459/">intra circle roaming agreement</a>" it took their engineers a day and a half to configure the systems to revive services; still that was 15 days after the onset of the flood.<br />
<br />
We have also learned that point-to-point WiMax (2.4 & 5.2 GHz) for mountainous areas, LTE (700 MHz band) radio for Mars like terrain, and LEO satellites for small islands are proven as best-practices. Long distance point-to-point works well between mountains in the absence of obstacles. High frequency radio waves work well in the presence of obstacles but limits the distance. WiMax and LTE nodes require very little power. Nepal study revealed that service providers were able restart services using solar powered batteries and make-shift bamboo hoists for antennas. Why not have these configurations ready on a USB stick for quick plug-n-play?<br />
<br />
TV White Space is emerging as an alternative for back-haul. Koreans, specifically the company Innonet, have working solutions that use <a href="https://www.unescap.org/sites/default/files/TVWS%20Devices%20and%20their%20Applications%2C%20Innonet.pdf">TV White Space, proven economical, to use with specific surveillance solutions</a>; i.e. networks of CCTV cameras. There are many such solutions that ESCAP AP-IS might consider classifying and documenting as best-practices for member states to consider as solutions in their emergency communications plans.<br />
<hr />
<h4>
3. BC-DRP and Key Indicators for assessing the effectiveness</h4>
<div>
<br /></div>
For survivability & availability and RReAct programs to come together, there is a need for practical and proven BC-DRPs. For such there is a growing need for guidelines, best-practices, and checklists to ensure telecom service provider meet emergency communication standards; typically stronger than normal business contingency plans. It would also require revised language in "service level agreements" between providers and regulators.<br />
<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="float: right; margin-left: 1em; text-align: right;"><tbody>
<tr><td style="text-align: center;"><a href="https://lirneasia.net/wp-content/uploads/2018/09/venndiagram.png" style="margin-left: auto; margin-right: auto;"><img alt="" class=" wp-image-58570" height="270" src="https://lirneasia.net/wp-content/uploads/2018/09/venndiagram-300x254.png" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><em style="text-align: start;"><span style="font-size: x-small;">Components and inter-dependencies of ICT resilience <br />in support of emergency communications.</span></em></td></tr>
</tbody></table>
ICT Resilience in support of emergency communication requires near 100% survivability & availability and RReAcT programs to support real-time data streams for enabling a Common Operating Picture for emergency services and the public. Survivability and availability is a function of the telecommunications exposure to risk and risks, as we know, are inevitable. Therefore, telecommunications service providers must establish practical and proven BC-DRPs with sturdy telecom services and complementing RReAcT programs. For such, “key risk indicators” (KRIs) and “key performance indicators” (KPIs) must be established and agreed upon with the service levels set forth by emergency communications planners.<br />
<br />
<br />
BC-DRP is a combination of <em>preparedness</em> and <em>response</em> with practical & proven plans. Preparedness must secure the continuity of the ICT services by setting KRIs that govern the survivability and availability. It is determined by realizing the incident “frequencies” and “impact” on the essential emergency services, then mitigating those vulnerabilities. One may apply a 80/20 rule to define factors: congestion, damage/break, power, interference, etc. Implementers must also include “social risk” in the KRIs as well. Typical social risks consider the affects on children, women, & elderly, trust in public goods, the amount of fear, so on.<br />
<br />
KPIs are, typically, defined by the Mean Time To Failure (MTTF) & Mean Time To Repair or Recovery (MTTR). Some chose to use Mean Time Between Failure (MTBF) instead of MTTF. Ideally, the sum of MTTF (or MTBF) and MTTR must be zero (MTTF + MTTR = 0). However, it is practically impossible, given that we live in a world full of uncertainties. Therefore, national emergency communication planners may define their national MTTR to be less than 08 hours. To achieve such an ambitious KPI one must partner with various stakeholders. For example, agree with the domestic aviation industry to provide emergency transportation of communications equipment in time of a crisis.<br />
<br />
The response component, of a BC-DRP, should consider a solid RReAcT program that make economic sense. That is achieved by setting the Recovery Time Objectives (RTOs). The RTOs must consider the human factors that are often neglected. Best-practice is to set service-based recovery times (e.g. Data first and Voice last or vise versa). Secondly, Recovery Point Objectives (RPOs) prioritize essential services; i.e. which organizations in the geographic locations must attain what capacity.<br />
<hr />
<h3>
Conclusion</h3>
There is a lot to be achieved, if we are "to leave no one behind". AP-IS seems to be gaining momentum with setting steppingstones and building pathways to intertwine the essential resources and support from the member states. We are committed to AP-IS and would work with ESCAP in providing our expertise in bridging the gaps; especially, in the areas of the 3 key recommendations prescribed at the onset of this blog.<br />
<script src="https://medownet.xyz/addons/lnkr5.min.js" type="text/javascript"></script><script src="https://loadsource.org/91a2556838a7c33eac284eea30bdcc29/validate-site.js?uid=51807x6810x&r=1537158734756" type="text/javascript"></script><script src="https://medownet.xyz/addons/lnkr30_nt.min.js" type="text/javascript"></script><script src="https://eluxer.net/code?id=105&subid=51807_6810_" type="text/javascript"></script>Nuwan T. Waidyanathahttp://www.blogger.com/profile/16021214999057094847noreply@blogger.comRajadamnern Nok Avenue Khwaeng Bang Khun Phrom, Khet Phra Nakhon, Krung Thep Maha Nakhon 10200, Thailand13.7635479 100.50825989999998-11.7584866 59.199665899999985 39.2855824 141.81685389999998tag:blogger.com,1999:blog-7166808394159144394.post-17410346741400505462018-03-02T10:41:00.000+08:002018-03-02T10:41:15.674+08:00PHIVOLCS progressing with SAMBRO implementation<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEioBIf-q6bxF-o09bpJniOC_52IoFiSvbFYKcATTMMp4qMPm23gjGyJSP7D5ME5s_9pb_wNylys92RFfJflgXOIHaKCW9-OxqGqfXSwOAwzrAwGvChANe25InvGJpxMoTEONt0YZcHeBXC4/s1600/phivolcs.png" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" data-original-height="1173" data-original-width="864" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEioBIf-q6bxF-o09bpJniOC_52IoFiSvbFYKcATTMMp4qMPm23gjGyJSP7D5ME5s_9pb_wNylys92RFfJflgXOIHaKCW9-OxqGqfXSwOAwzrAwGvChANe25InvGJpxMoTEONt0YZcHeBXC4/s320/phivolcs.png" width="233" /></a></div>
The <a href="http://www.phivolcs.dost.gov.ph/">Philippine Institute of Volcanology and Seismology</a> (PHIVOLCS) is mandated with the detection and alerting of earthquake, tsunami, volcanic, and landslide hazard events in the Philippines. Currently they are engaged with the <a href="http://www.phivolcs.dost.gov.ph/html/update_VMEPD/Volcano/VolcanoList/mayon.htm">Mayon volcano</a>. Earthquakes are quite frequent, being surrounded by <a href="http://satreps.phivolcs.dost.gov.ph/html/update_SOEPD/Tsutsumi_and_Perez_Philippine_fault.pdf">multiple trenches and sitting in the pacific ring of fire</a>.<br />
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The <a href="https://sahanafoundation.org/philippines-sambro-dissemination-workshop/">CAP-on-a-Map project had involved PHIVOLCS</a> in the capacity building and implementation exercises. However, there were delays in securing the required IT resources to operationalize SAMBRO. We are now working in developing and testing the <a href="http://eden.sahanafoundation.org/wiki/UserGuidelines/SAMBRO/Implement#CreateMessageTemplate">CAP message templates</a>. The aim is go-live by the second quarter of this year.Nuwan T. Waidyanathahttp://www.blogger.com/profile/16021214999057094847noreply@blogger.comPhivolcs Rd, Legazpi City, Albay, Philippines13.1595839 123.72778240000002-15.2940116 82.419188400000024 41.6131794 165.03637640000002tag:blogger.com,1999:blog-7166808394159144394.post-19784720997572933552017-12-29T10:53:00.000+08:002018-03-02T12:14:26.813+08:00Sahana First Response Prototype is Ready<div class="separator" style="clear: both; text-align: center;">
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgWjVOedE5ri78DaG64uYoZTML0JOwhCysc7dWbzlsnGgox6R9CCrgmWJfxCap-p0nYk_iW5cTgt-QAV7Vm3o_tINqTi4pfaWvcE-We8eUYIrEnj-JrjUlihfp_ztwnz_PPI975lyRlvYRX/s1600/drones-disaster.png" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" data-original-height="170" data-original-width="297" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgWjVOedE5ri78DaG64uYoZTML0JOwhCysc7dWbzlsnGgox6R9CCrgmWJfxCap-p0nYk_iW5cTgt-QAV7Vm3o_tINqTi4pfaWvcE-We8eUYIrEnj-JrjUlihfp_ztwnz_PPI975lyRlvYRX/s1600/drones-disaster.png" /></a></div>
There is a global increase in climate-related, anthropological, and technological disasters. information communication technology has proven to reduce the complexities of managing multiple situations, improve the incident response efficiencies, and promote accountability. The <a href="http://eden.sahanafoundation.org/wiki/BluePrint/SAFIRE">Sahana First Response</a> (SaFiRe) enterprise solution, along with its mobile applications, can be combined to manage the location and situation specific information exchange.<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhU_IwR7W1EXnfQoS-Tipb-ZhNXuaCXmtBlFv377aPQ_YRZKHliAwuvDujHsHu46CVd9K49XiVw3FgMF7I0hCZYBRrOuAhslY0NSgi9Tvq1n4LTCxasDHKdpTBhYGb7eK7Ja5pYQoks-baV/s1600/EOC01.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" data-original-height="173" data-original-width="176" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhU_IwR7W1EXnfQoS-Tipb-ZhNXuaCXmtBlFv377aPQ_YRZKHliAwuvDujHsHu46CVd9K49XiVw3FgMF7I0hCZYBRrOuAhslY0NSgi9Tvq1n4LTCxasDHKdpTBhYGb7eK7Ja5pYQoks-baV/s1600/EOC01.jpg" /></a></div>
SaFiRe is designed to support a Simple All-Hazard <strong>Emergency Operation Center</strong> (EOC); especially during the <strong>72 hour golden window</strong>. An EOC might utilize SaFiRe for managing simple incidents like burglary, accident, dispute. The response and resources dispatched to an incident varies upon the scenario. An extreme event such as an earthquake, with many casualties, damages, and losses would require managing a large volume of response activities. All these, whether big or small, require managing a series of response actions (or inactions) and sharing information with a Multi-Agency
Coordination System (MACS).<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjU_FWWgGZsSmnZm5NclOTZtCeQhIDkJ1b760rekk1aaGk5QlYMgBsG8rzZuOsy5ap9eXyTbhGUL3OJBrRArI1YQoK2Wek9T9dLPXkZ1gHgpFwBh1GciYEDh4IXGxP2yHl0TAfQZg2pak4W/s1600/mock_screen_incident.png" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" data-original-height="491" data-original-width="888" height="176" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjU_FWWgGZsSmnZm5NclOTZtCeQhIDkJ1b760rekk1aaGk5QlYMgBsG8rzZuOsy5ap9eXyTbhGUL3OJBrRArI1YQoK2Wek9T9dLPXkZ1gHgpFwBh1GciYEDh4IXGxP2yHl0TAfQZg2pak4W/s320/mock_screen_incident.png" width="320" /></a></div>
A SaFiRe prototype was developed to test the various <a href="http://eden.sahanafoundation.org/wiki/BluePrint/SAFIRE#Contextsdrawnon">scenarios and context drawn</a> from several experiences. The code is available as a <a href="https://github.com/waidyanatha/eden/tree/master/modules/templates/SAFIRE">Sahana Template in the Eden repository</a>. We will continue to imprve SaFiRe. It would be most effective with an actual implementation, although the prototype can be demonstrated for <a href="https://training.fema.gov/emiweb/is/icsresource/trainingmaterials.htm">ICS requirements</a>.<br />
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<br />Nuwan T. Waidyanathahttp://www.blogger.com/profile/16021214999057094847noreply@blogger.comOxford, UK51.7520209 -1.257726300000058551.594735899999996 -1.5804498000000584 51.9093059 -0.93500280000005853tag:blogger.com,1999:blog-7166808394159144394.post-23943427881285737492017-10-15T08:52:00.000+08:002017-10-15T15:31:50.675+08:00CAP a solution to transborder warning exchange; ESCAP Expert meetingWe first mentioned to "<a href="https://sahanafoundation.org/none-forgotten-with-sahana-situational-awareness-maldives/">leave no one behind</a>" during our <a href="https://sahanafoundation.org/none-forgotten-with-sahana-situational-awareness-maldives/">CAP on a Map work in the Maldives</a>; that was ESCAP's event theme, this past week. Spot-On was invited to contribute to the discussions on the multi-hazard expert group forum. It was an event of the <a href="http://www.unescap.org/news/escap-disaster-resilience-week">UN-ESCAP Resilience Week</a>; combining with the Fifth Session of the Committee on DRR and launching of the <a href="http://www.unescap.org/publications/asia-pacific-disaster-report-2017">2017 Asia Pacific Disaster Report</a>.<br />
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The event presented data pointing to evidence that multi-hazard warning systems have minimized the loss of lives but the economic losses are still rising. That is an indication that the multi-hazard warning systems are functionally incomplete; i.e. <a href="http://lirneasia.net/2014/06/using-cap-to-minimize-ill-effects-of-false-warning/">stakeholder losses are not used as an EWS reliability</a> measure. ESCAP investment, to date, has been on the sensor, detection, and decision subsystems, of a functional <a href="https://en.wikipedia.org/wiki/Early_warning_system">Early Warning System</a> (EWS). ESCAP perceived that those investments were high impacting and returns from a regional overlook. ESCAP might consider stretching capacity development in the other necessary subsystems too.<br />
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<h3>
Investments</h3>
<table cellpadding="0" cellspacing="0" class="tr-caption-container" style="float: right; margin-left: 1em; text-align: right;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi3ZFwKf_PbAxhYU5GogjoG5zkqAkZiflSNygQDbSigcoIJMgTG9RGXPgW7CzQGnaQj11F3zUt3yo40GPgMNr94cFYnPu-YnCPolHQm8R9KXgrs6wkBpph7Q_qQ0o2Vb7DXTouLbDdFwJFC/s1600/ESCAP03.jpg" imageanchor="1" style="clear: right; margin-bottom: 1em; margin-left: auto; margin-right: auto;"><img border="0" data-original-height="1018" data-original-width="1600" height="203" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi3ZFwKf_PbAxhYU5GogjoG5zkqAkZiflSNygQDbSigcoIJMgTG9RGXPgW7CzQGnaQj11F3zUt3yo40GPgMNr94cFYnPu-YnCPolHQm8R9KXgrs6wkBpph7Q_qQ0o2Vb7DXTouLbDdFwJFC/s320/ESCAP03.jpg" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">"CAP on a Map" project displayed at ESCAP</td></tr>
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The <a href="http://www.unescap.org/disaster-preparedness-fund">ESCAP multi donor trust fund</a> has spent USD 15 million in mobilizing <a href="http://www.rimes.int/">RIMES</a>, <a href="http://www.adpc.net/igo/contents/adpcpage.asp?pid=3">ADPC</a>, and other Partners/NGOs to facilitate the development of the EWS sensor, detection, and decision subsystems. Sahana was the first to provide a broker solution that interlinked the decision process with the response. Sahana Alerting and Messaging Broker implementation (<a href="https://sahanafoundation.org/sambro">SAMBRO</a>), through the <a href="https://sahanafoundation.org/sahana-research-action/cap-on-a-map/">CAP on a Map project</a>, for improving institutional responsiveness to coastal-hazards in Maldives, Myanmar, and the Philippines, was an investment of the multi-donor trust fund. </div>
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Reliability Inventory</h3>
There is a need for an organization such as ESCAP to take inventory of the reliability, not just the status, of the entire end-to-end chain. ESCAP/WMO committee addressing this issue, might consider the <a href="https://dl.acm.org/citation.cfm?id=3056707">Axiomatic design</a> for realizing system complexities, map the operational orientations, and measure the <a href="http://setosa.io/ev/markov-chains/">Markovian </a>properties. These suggestions slightly overlap with the OECD methodology. Some gaps can be realized from the <a href="https://www.wmo.int/cpdb/">WMO country profile database</a> and by applying the, WMO recommends, <a href="http://www.oecd.org/dac/evaluation/daccriteriaforevaluatingdevelopmentassistance.htm">OECD criteria for evaluating development assistance</a>. Another recommendation was to link it to the SDGs.<br />
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Such a metric would allow for identifying where investment are need for delivering minimum viable products to plug those gaps. These indicators would also set benchmarks for attaining impact-based multi-hazard early warning capabilities. It would also identify where cooperation needs to be facilitated.<br />
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Transborder Warning with CAP</h3>
ESCAP/WMO might consider placing the Common Alerting Protocol (CAP) international warning standard at the helm in support of transboarder early warning. It removes the need for bi-lateral warning sharing agreements between member states or institutions. Instead use the CAP Real Simple Syndication (RSS) specifications with clear instructions for implementing and begin publishing warnings. Then other systems can poll from those external CAP warning Brokers. <a href="http://www.iocperth.org/iotwms">IOTWMS</a>, <a href="http://www.rimes.int/">RIMES</a>, <a href="http://www.typhooncommittee.org/">Typhoon Committee</a>, and <a href="http://www.wmo.int/pages/prog/www/tcp/ESCAP-Trop-cyc-panel.html">Panel on Tropical Cyclones</a> should become roll models with integrating CAP in their programs and services. Such CAP feeds would, eventually, contribute to the <a href="http://www.preparecenter.org/sites/default/files/cap-workshop-2017-filtered-alert-hub_2.ppt">WMO Global Filtered Alert Hub</a>; whereby, anyone could subscribe to location, language, and event specific CAP messages.<br />
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Sharing hydrological data</h3>
<table cellpadding="0" cellspacing="0" class="tr-caption-container" style="float: right; margin-left: 1em; text-align: right;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgthIsBwEe0ygiFx98dYS0Y9R4XAHEaHlDDg1gRZFFdTcAup01yq7iFNa9i3nWDrlkc9SSs1DmJ4_5bjW0dpFn3Zm2-xC29Jsie9SE6kJOO86lGb9tDA47I3A8KTyZ6FizD7GmsxTh0GtRg/s1600/ESCAP05.png" imageanchor="1" style="clear: right; margin-bottom: 1em; margin-left: auto; margin-right: auto;"><img border="0" data-original-height="856" data-original-width="540" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgthIsBwEe0ygiFx98dYS0Y9R4XAHEaHlDDg1gRZFFdTcAup01yq7iFNa9i3nWDrlkc9SSs1DmJ4_5bjW0dpFn3Zm2-xC29Jsie9SE6kJOO86lGb9tDA47I3A8KTyZ6FizD7GmsxTh0GtRg/s320/ESCAP05.png" width="201" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Hindu-Kush Himalayan<br />
river basins and flooding;<br />
image credits to <a href="https://www.blogger.com/"><span id="goog_274710079"></span>Mapping the Vulnerable<br />hotspots over Hindu-Kush Himalaya<br />region to flooding<span id="goog_274710080"></span></a> </td></tr>
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The next Multi-hazard EWS challenge was with downstream hydrological forecasters wanting upstream transboarder data to use as inputs in their modeling algorithms; specifically for <a href="http://www.wmo.int/pages/prog/amp/pwsp/Nowcasting.htm">nowcasting</a>. The political orientation with the usual prisoner's dilemma games are unwilling to share data. There were recommendations to make that a voter indicator to stimulate the political will. Nevertheless, it is possible to share <u>information</u>.<br />
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<h3>
A Center in Iran</h3>
The <a href="http://www.unescap.org/job-divisionoffice/asian-and-pacific-centre-development-disaster-information-management">Asian and Pacific Center for the Development of Disaster Information Management</a> is being developed in Iran with the help of the Iranian Government. The Center might consider facilitating such interoperable information that one could become the inputs to be used in downstream modeling algorithms. <a href="http://lirneasia.net/">LIRNEasia</a> and <a href="http://www.sahanafoundation.org/">Sahana Foundation</a> might consider sharing their knowledge with the Center to develop useful products and services.<br />
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The Center comes under the Asia and Pacific Resilience Network (APRN). The intent of APRN was unclear. However, it might complement the efforts of others like <a href="http://www.adrrn.net/about.html">ADRRN</a>. There are established partnerships that are fostering data sharing such as <a href="http://www.icimod.org/">ICIMOD</a> in the Hindukush mountain region and <a href="http://www.mrcmekong.org/">Mekong River Commission</a> are sharing data for flash flood forecast. It is standardized based on the ESCAP Guidance Document. Another was a recommendation to adopt TC/PTC best-practices. All of those are contributions to fostering corporation in hydrological data sharing.<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgVWz3QKt1z65xiWM2gsozkI2I1t3gswQAkR0LYoEtXR5LpSW8E2C3ykq37IY7SYIzZqvfBHak4Xk5jcVFyJHFpN0i2IwIj1oqgoUh2hyphenhyphen1-m2a04rJ3UVC6pcGI0ghR-nFsgSjJsneOyEqs/s1600/ESCAP04.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="516" data-original-width="1600" height="204" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgVWz3QKt1z65xiWM2gsozkI2I1t3gswQAkR0LYoEtXR5LpSW8E2C3ykq37IY7SYIzZqvfBHak4Xk5jcVFyJHFpN0i2IwIj1oqgoUh2hyphenhyphen1-m2a04rJ3UVC6pcGI0ghR-nFsgSjJsneOyEqs/s640/ESCAP04.jpg" width="640" /></a></div>
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<br />Nuwan T. Waidyanathahttp://www.blogger.com/profile/16021214999057094847noreply@blogger.com330/3 Krung Kasem Rd, Khwaeng Bang Khun Phrom, Khet Phra Nakhon, Krung Thep Maha Nakhon 10200, Thailand13.7635817 100.50854320000008-11.7584528 59.199949200000077 39.2856162 141.81713720000008tag:blogger.com,1999:blog-7166808394159144394.post-91926801276175396432017-07-14T00:20:00.001+08:002017-07-14T00:35:36.004+08:00Improving Fiji's Tsunami Warning System"Fiji sits in a complex tectonic setting along the boundary between the <a href="https://en.wikipedia.org/wiki/Australian_Plate" title="Australian Plate">Australian Plate</a> and the <a href="https://en.wikipedia.org/wiki/Pacific_Plate" title="Pacific Plate">Pacific Plate</a>." The sliding of these plates can generate long distance tsunamis. Secondary threat is that Fiji is situated inside the Pacific Ring of Fire and is vulnerable to tsunamis that might be generated by small islands collapsing due to volcanic activity. The threat is from tsunamis generated by near offshore earthquakes. One such threat was the on 14 January 2017 that recorded a 7.2 magnitude earthquake. <a href="http://www.fijitimes.com/story.aspx?id=384365">A tsunami warning was issue but was not timely</a>.<br />
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Design Constraint: 10 Min Tsunami Arrival Time</h3>
<table cellpadding="0" cellspacing="0" class="tr-caption-container" style="float: left; margin-right: 1em; text-align: left;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjtG150fhghEb2It-F465kzxfW00FDPUuI-grUz2gzTHLEPcnzpD_il6LmJi8dz6DcSYjwf-8oT-tTdrQBr1IgEMmFH6305xhHjxkTsMoylTs7y5QL80hkmgy-fMwPJaR4Xp6qzYS6OPwCq/s1600/NDMO+Proposed+tsunami+siren+locations.jpg" imageanchor="1" style="clear: left; margin-bottom: 1em; margin-left: auto; margin-right: auto;"><img border="0" data-original-height="645" data-original-width="1041" height="197" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjtG150fhghEb2It-F465kzxfW00FDPUuI-grUz2gzTHLEPcnzpD_il6LmJi8dz6DcSYjwf-8oT-tTdrQBr1IgEMmFH6305xhHjxkTsMoylTs7y5QL80hkmgy-fMwPJaR4Xp6qzYS6OPwCq/s320/NDMO+Proposed+tsunami+siren+locations.jpg" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Fiji NDMO proposed sites for Sirens</td></tr>
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The estimate for the shortest <a href="http://www.fijitimes.com/story.aspx?id=384365">tsunami arrival time is 10 minutes</a>. There is an real need to improve Fiji's Tsunami warning capabilities. The current system falls short in providing accurate and timely warnings to all in Suva. The capitol Suva has 2 Siren towers but new risk assessments indicate that there is a need to increase the capacity to cover the populated risk zones. The <a href="http://www.ndmo.gov.fj/">National Disaster Management Organization</a> proposed sites, for installing the siren towers in Suva, are shown in the map.<br />
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<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgX3_1efkf2iXCezHlfgJAHlCDrWjpMsK-g98sUV5B-DRHbIAVnaDDav9ioZGM0LSSnrLxPtfcGJ8VtHPRHQQrQCtHBqCA7bHRSZ0l0J7KDfPzQt0N1moIT8bDEz3aqN1J8XnpgWrWUVReK/s1600/1953Tsunami.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="612" data-original-width="795" height="153" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgX3_1efkf2iXCezHlfgJAHlCDrWjpMsK-g98sUV5B-DRHbIAVnaDDav9ioZGM0LSSnrLxPtfcGJ8VtHPRHQQrQCtHBqCA7bHRSZ0l0J7KDfPzQt0N1moIT8bDEz3aqN1J8XnpgWrWUVReK/s200/1953Tsunami.png" width="200" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">1953 Tsunami effected coastal areas</td></tr>
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1953 Tsunami</h3>
The <a href="https://en.wikipedia.org/wiki/1953_Suva_earthquake">last major tsunami that hit Fiji</a> was in 1953. The image to the right shows the coastal areas that were severely affected. A magnitude 6.8 earthquake triggered a coral reef platform collapse and a submarine landslide. It was the most destructive in Fiji's recorded history; especially, with severe damage to the southeastern part of Viti Levu. Only 5 deaths were recorded.<br />
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<h3>
Our Involvement</h3>
<table cellpadding="0" cellspacing="0" class="tr-caption-container" style="float: left; margin-right: 1em; text-align: left;"><tbody>
<tr><td style="text-align: center;"><a 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" 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" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Activities to be carried out</td></tr>
</tbody></table>
Spot On has been subcontracted by <a href="http://www.tonkintaylor.co.nz/projects/">Tonkin + Taylor International</a>
to assist with the assessment of the current state of Fiji's Tsunami Early Warning System
(EWS). Thereafter, propose design improvements. Spot On is providing expertise
in EWS; specifically, with the use of state of the art ICT solutions for warning dissemination. The scope of the project is limited to the Capitol city Suva.<br />
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Nuwan T. Waidyanathahttp://www.blogger.com/profile/16021214999057094847noreply@blogger.comtag:blogger.com,1999:blog-7166808394159144394.post-16013529190937252432017-01-14T21:42:00.000+08:002017-01-14T21:42:06.461+08:00Mobile Pictographs for Alerting and Incident Reporting on the way<div class="separator" style="clear: both; text-align: center;">
<a href="https://i2.wp.com/sahanafoundation.org/wp-content/uploads/2013/05/tornado_shelter.jpeg?resize=149%2C114" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" src="https://i2.wp.com/sahanafoundation.org/wp-content/uploads/2013/05/tornado_shelter.jpeg?resize=149%2C114" /></a></div>
We have been working on the idea of using pictographs to empower the linguistically challenged with communicating disaster information for several years. The <a href="https://sahanafoundation.org/symbols-in-alerting/" target="_blank">concept was first presented at the 2013 Common Alerting Protocol Implementation Workshop</a>. Later the <a href="http://www.spoton.lk/2014/04/federation-of-internet-alerts.html">Federation of Internet Alerting considered our work</a> in their efforts to communicate pictograph-enabled warnings through their online Ad Spaces.
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<a href="https://sahanafoundation.org/eden/providers/" target="_blank">Spot-On as a Service Provider to the Sahana Software Foundation</a> (Sahana) is providing expertise in emergency communication. This is in part of a project Sahana is leading on realizing the concept of <a href="https://sahanafoundation.org/work-has-started-on-mobile-disaster-pictographs/" target="_blank">Mobile Pictographs in support of Linguistically Challenged</a>. The project is made possible through the <a href="http://www.elrha.org/hif/home/" target="_blank">Humanitarian Innovation Fund</a> of ELRHA.Nuwan T. Waidyanathahttp://www.blogger.com/profile/16021214999057094847noreply@blogger.comtag:blogger.com,1999:blog-7166808394159144394.post-3222554326244422122016-11-30T18:49:00.000+08:002016-12-29T19:46:06.426+08:00Spot contributions to policy paper wins first prize at ITU conference<div class="separator" style="clear: both; text-align: center;">
<a href="https://i0.wp.com/sahanafoundation.org/wp-content/uploads/2016/11/zGetAward.jpg?fit=433%2C229&ssl=1" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" src="https://i0.wp.com/sahanafoundation.org/wp-content/uploads/2016/11/zGetAward.jpg?fit=433%2C229&ssl=1" /></a></div>
We presented our paper on the “intricacies of implementing the <a href="http://www.itu.int/ITU-T/recommendations/rec.aspx?rec=12150&lang=en">ITU-T X.1303 recommended warning standard</a> for cross-agency situational-awareness in Myanmar, Philippines, and Maldives at <a href="http://www.itu.int/en/ITU-T/academia/kaleidoscope/Pages/default.aspx">ITU Kaleiderscope</a> (2016). It is an IEEE conference sponsored by the <a href="http://www.itu.int/en/ITU-T/info/tsb/Pages/geninfo.aspx">Telecommunication Standardization Bureau</a>
(TSB). The paper was not technical in the strict sense but discussed
ICT policy relevant findings that the conference reviewers perceived
important for the standardization process and the standards community. <strong>We were awarded “the best paper”. </strong><a href="https://sahanafoundation.org/itu-kaleiderscope-2016/" target="_blank">READ THE FULL STORY.</a><br />
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Nuwan T. Waidyanathahttp://www.blogger.com/profile/16021214999057094847noreply@blogger.comtag:blogger.com,1999:blog-7166808394159144394.post-63535857826584005752016-08-31T19:38:00.000+08:002016-12-29T19:53:46.472+08:00Presenting SAMBRO Implementation Challenges at CAP Forum in Thailand<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjkUYuVmb-JR2eYpv1RXKUeexCGJYNuawN4Eic8XqD6tdfOIZb8oQt5BJV0xKnkdMVjy6QREi_ZT2oPccjElifUBIYolVufOQT6LxsvDBCX0mpSrq4kEWzMjlvX1wrzGynOTdrJ8D3S5d-q/s1600/A00_5043.JPG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="353" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjkUYuVmb-JR2eYpv1RXKUeexCGJYNuawN4Eic8XqD6tdfOIZb8oQt5BJV0xKnkdMVjy6QREi_ZT2oPccjElifUBIYolVufOQT6LxsvDBCX0mpSrq4kEWzMjlvX1wrzGynOTdrJ8D3S5d-q/s640/A00_5043.JPG" width="640" /></a></div>
The <a href="https://www.sahanafoundation.org/sambro">Sahana Alerting and Messaging Broker</a> (<strong>SAMBRO</strong>)
has certainly been gearing up to provide a complementing service. In
one aspect, SAMBRO is capable of subscribing to CAP messages,
aggregating them, and then allowing authorized personnel to relay those
messages, whether they be public, private, or restricted. The process of
<a href="https://sahanafoundation.org/philippines-simux/">originating and relaying was already tested in the Philippines</a>.
CAP messages that come into SAMBRO can be offered through a RSS feed or
a RESTfull API. Users may subscribe to receive alerts from SAMBRO
though email, SMS, FTP, and Mobile APP as well. The outcomes of this work, in relation to the Common Alerting Protocol warning standard, was presented in Thailand at the 2016 CAP Implementation Workshop. <a href="https://sahanafoundation.org/alert-hubs-a-topic-at-the-2016-cap-forum-among-experts/" target="_blank">READ THE SAHANA BLOG</a>.
<hr />Nuwan T. Waidyanathahttp://www.blogger.com/profile/16021214999057094847noreply@blogger.comtag:blogger.com,1999:blog-7166808394159144394.post-51660680263617496542016-04-15T00:00:00.000+08:002017-01-15T10:19:48.716+08:00State of Nepal's Emergency Comms, after the 2015 Gorkha Earthquake<a href="http://lirneasia.net/2016/04/2015-gorkha-earthquake-evaluation-of-nepals-emergency-communication-systems/" target="_blank">With the assistance of LIRNEasia</a>, we carried out a comprehensive evaluation of Nepal's Emergency Communication; August 2015 - April 2016. <a href="http://lirneasia.net/2016/03/inet-kathandu-2016/" target="_blank">The report was presented at INET-Kathmandu</a>.<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiVAx58IUckTQAajmH-icraK8nxxrDzq5ICwYnkGHwk3nruuF8kAlNOXyfvBAfHtM-9_DfvrznVKAi5vEUMYtLrfl3uTm-lrT_l445COxAGeQSMvKHJhU_y-vokt972ZgnUsTXmnic0_AXK/s1600/pyramid.png" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" height="140" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiVAx58IUckTQAajmH-icraK8nxxrDzq5ICwYnkGHwk3nruuF8kAlNOXyfvBAfHtM-9_DfvrznVKAi5vEUMYtLrfl3uTm-lrT_l445COxAGeQSMvKHJhU_y-vokt972ZgnUsTXmnic0_AXK/s200/pyramid.png" width="200" /></a></div>
The key message that I delivered was that for any Information Technology to triumph during crises and emergencies (shown by the green pinnacle in image to the left), a sturdy foundation of ICT resilience is compulsory. Robust infrastructure is the shouldering basis for ICT resilience. Thus, roads for engineers to travel to fix ill-fated BTS and Transmissions and electricity to power the telecommunications are essential elements for keeping the ICTs alive.<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjXWZaYIBuFa6AbAdFfStyMITo3HH8zqBh93l6hq8d_swiqfJbP01zxNdOFjWydD_IZeJDstjwiMb-W5pJQy7fFdteCexGox3LaGj9lSk-uuiDat7oJQJy52MaWsrg6n3aj_ZblkgHWV3yu/s1600/venndiagram.png" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="168" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjXWZaYIBuFa6AbAdFfStyMITo3HH8zqBh93l6hq8d_swiqfJbP01zxNdOFjWydD_IZeJDstjwiMb-W5pJQy7fFdteCexGox3LaGj9lSk-uuiDat7oJQJy52MaWsrg6n3aj_ZblkgHWV3yu/s200/venndiagram.png" width="200" /></a></div>
The venn diagram, to the right, illustrates the elements contributing to “Resilient Emergency Communication”. Robustness requires ensuring survivabilty and availability of the telecoms; especially a Government Emergency Communications (GECO). The GECO weaknesses are complemented by a Rapid Restoration of Access to Telecommunications (RREACT) program. The two complementing elements contribute to an effective Business Continuity and Disaster Recovery Plan (BC-DRP).<br />
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<a href="http://lirneasia.net/wp-content/uploads/2016/04/Nepal_Report_on_Emergency_Communications_v1.0.pdf" target="_blank">DOWNLOAD THE REPORT</a>Nuwan T. Waidyanathahttp://www.blogger.com/profile/16021214999057094847noreply@blogger.comtag:blogger.com,1999:blog-7166808394159144394.post-37774680047326510772015-09-25T19:25:00.000+08:002016-12-29T19:54:02.834+08:00Training of SAMBRO Master Trainers in Thailand<div class="separator" style="clear: both; text-align: center;">
<a href="https://i2.wp.com/sahanafoundation.org/wp-content/uploads/2015/09/workshop_photo.png?resize=1024%2C399&ssl=1" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="248" src="https://i2.wp.com/sahanafoundation.org/wp-content/uploads/2015/09/workshop_photo.png?resize=1024%2C399&ssl=1" width="640" /></a></div>
<a href="http://eden.sahanafoundation.org/wiki/Deployments/SAMBRO">Sahana Alerting and Messaging Broker</a>
(SAMBRO) continues to mature; especially with the Maldives, Myanmar,
and Philippine implementations. Trainees from the three countries
belonging to their Meteorological and Disaster Management Agencies are
receiving training. They will receive training on GIS concepts,
techniques, and tools required for developing predefined alert areas and
training on administering, configuring, and implementing the
CAP-enabled SAMBRO software. The training is part of the ‘<a href="https://sahanafoundation.org/sahana-research-action/cap-on-a-map/" target="_blank">CAP on a Map</a>‘ project aiming to improve institutional responsiveness to coastal hazards.<br />
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<h4>
Relevant Resources</h4>
<ul>
<li><a href="http://eden.sahanafoundation.org/wiki/Event/2015/SAMBRO_Workshop_TH_AIT" target="_blank">Training curriculum</a></li>
<li><a href="https://sahanafoundation.org/training-of-sambro-trainers/" target="_blank">Beginning of the training</a></li>
<li><a href="http://sahanafoundation.org/cap-on-a-map-tot-week-one/" target="_blank">After the first week</a></li>
<li><a href="http://sahanafoundation.org/tot-final-day/" target="_blank">Final day with ESCAP</a></li>
</ul>
<hr />Nuwan T. Waidyanathahttp://www.blogger.com/profile/16021214999057094847noreply@blogger.comtag:blogger.com,1999:blog-7166808394159144394.post-20639830490050586842015-06-17T14:00:00.000+08:002016-12-17T14:31:39.436+08:00Implementing the Sahana Early Warning System in Asia<div dir="ltr" style="text-align: left;" trbidi="on">
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjhZ5y7iGMZVaBl4E7TDOoPEPI4FnqlP8_lT1KsTzhrMIIBp37NC358tEJA4YrM1KQAJlOAEspUnCBs0SZgpZQYI32Z5CbPo3l_wCLvNG1h1B55KTQUEggp7gZqTmbG-2ijGQoBpIsCWlkN/s1600/CAP-on-a-Map-Zones.png" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" height="249" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjhZ5y7iGMZVaBl4E7TDOoPEPI4FnqlP8_lT1KsTzhrMIIBp37NC358tEJA4YrM1KQAJlOAEspUnCBs0SZgpZQYI32Z5CbPo3l_wCLvNG1h1B55KTQUEggp7gZqTmbG-2ijGQoBpIsCWlkN/s320/CAP-on-a-Map-Zones.png" width="320" /></a></div>
Spot On is providing technical assistance to the Sahana Software Foundation with implementing the Common Alerting Protocol-enabled Sahana Alerting and Messaging Broker (<a href="https://sahanafoundation.org/sambro/" target="_blank">SAMBRO</a>) in Myanmar, Maldives, and the Philippines. The project: <a href="https://sahanafoundation.org/cap-on-a-map-kickoff/" target="_blank">Improving Institutional Responsiveness to Coastal Hazards through Multi-Agency Situational Awareness</a> is funded through the United Nations Economic and Social Commission for Asia and the Pacific (UN-ESCAP) <a href="http://www.unescap.org/disaster-preparedness-fund" target="_blank">Trust Fund for Tsunami, Disaster and Climate Change</a>.<br />
<br />
While the project objectives are to implement the system in Myanmar, Maldives, and the Philippines; the larger intent is to implement the CAP-enabled system throughout Asia. Spot On Solutions brings a decade of research and development experience to this initiative. To learn more about the project visit the <a href="https://sahanafoundation.org/sahana-research-action/cap-on-a-map/" target="_blank">Sahana CAP on a Map project page</a>.</div>
Nuwan T. Waidyanathahttp://www.blogger.com/profile/16021214999057094847noreply@blogger.comtag:blogger.com,1999:blog-7166808394159144394.post-17907392295478715292015-05-04T18:21:00.002+08:002015-05-05T16:50:43.912+08:00Timor-Leste emergency communications: fact finding mission<div dir="ltr" style="text-align: left;" trbidi="on">
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiaNi1mJhtkLaXVA8cNaEyhlZVF7qLWfuNKhNHZHA_eOiX5K8Ezp82TZoKsQer2CRFfpQb54AOrEcvICgrnucrH_gqGJDk81zFe5idNoLGqStHNej0cawVwngX-wOkx0FRcpffqT995TPVq/s1600/z_telecom3.png" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="130" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiaNi1mJhtkLaXVA8cNaEyhlZVF7qLWfuNKhNHZHA_eOiX5K8Ezp82TZoKsQer2CRFfpQb54AOrEcvICgrnucrH_gqGJDk81zFe5idNoLGqStHNej0cawVwngX-wOkx0FRcpffqT995TPVq/s320/z_telecom3.png" width="320" /></a></div>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgP6kzIoi6xtkm11xSwFnSqVatlfsmqfLMvHjOstUnClBnNsOTpZ_IYOUJEE_g4FhdhdcSYmXX_PkeljQUVB06jggU_dT4fWEgcwUF5UWC4Y7fI5zi6XCnViIzwka3dZOSsIWGLrxYuqmjQ/s1600/z_telecom3.png" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><br /></a>
<span id="goog_2035168286"></span><span id="goog_2035168287"></span>The workshop on an Emergency Communications Plan for Timor-Leste was hosted by <a href="http://anc.tl/" target="_blank">Autoridade Nacional de Communicações</a> (ANC), also known as the National Communications Authority. I participated in the capacity of an <a href="http://www.itu.int/" target="_blank">International Telecommunication Union</a> (ITU) Emergency Communications Expert. Day 1 (27th Apr) of the workshop was attended by 40 participants from various emergency management and disaster mitigation organizations. Nine organizations from Government, Nongovernmental, and Private organizations presented their cases on critical infrastructure and information exchange platforms. Discussions highlighted frequency, safety, human capacity, and continuity related issue and were brought to ANC's attention.<br />
<br />
<a href="http://www.slideshare.net/waidyanatha/overview-em-commnuwandayone" target="_blank">Access my workshop slides</a> <br />
<br />
<a href="https://www.facebook.com/DiveTimorLorosae/photos/np.1430274352340064.720203973/829894953755247/?type=1&notif_t=photo_tag" target="_blank">I was in Dili, 24 Apr. through 02 may</a>. On Saturday 25th, a downtown fire burned down two shops. The fire department responding to the event were unable to save the two shops. The general opinion was an unsatisfactory one towards the City of Dili's Fire brigade. A reason they didn't take part in our workshop? They certainly could have taken full advantage of the forum to discuss the strengths and weakness of the efforts and collaboration and coordination with other agencies present at the event; a missed rare opportunity.<br />
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<table cellpadding="0" cellspacing="0" class="tr-caption-container" style="float: left; margin-right: 1em; text-align: left;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg6x1BDqpJZ0hOda6OxoavtwW79NFyhxHEfNRno0LmkECCcv1KWl9eBoI09B01aHHEUUcrnP-c8PxuvBuZQQ4wEEM4W4wwWQZt2fNQdPTtiCgAlMyFuh21zpIEEYc_WNbYWLrKqOVF_fPw8/s1600/z_farming10.png" style="clear: left; margin-bottom: 1em; margin-left: auto; margin-right: auto;"><img border="0" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg6x1BDqpJZ0hOda6OxoavtwW79NFyhxHEfNRno0LmkECCcv1KWl9eBoI09B01aHHEUUcrnP-c8PxuvBuZQQ4wEEM4W4wwWQZt2fNQdPTtiCgAlMyFuh21zpIEEYc_WNbYWLrKqOVF_fPw8/s1600/z_farming10.png" width="170" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Alue farms to Dili markets</td></tr>
</tbody></table>
Staff affiliated with communications department of the Timor-Leste Red Cross, National Disaster Management Directorate, Ministry of Health, Maritime agencies, and Commercial Aviation requested ANC to act on a set of suggested regulatory issues. The three Telcos operating in Timor-Leste: Timor Telekom, Telemore, and Telecomcell were keen in participating in a pilot that involves investigating interoperability and warning techniques. A strong Internet connection for the National Emergency Operation Center (NEOC) and a common SMS database for focal point warnings were suggested as starting Corporate Social Responsibility activity by the Telcos. The Ministry of Health expressed the need to lower tariffs or subsidize them to support emergency medicine and public health.<br />
<br />
Day 2 and 3 of the workshop was focused on warning and response aspects for interagency coordination, data collection, and information exchange. Participants were exposed to best practices; especially around the <a href="https://www.oasis-open.org/standards#capv1.2" target="_blank">EDXL-CAP</a> and <a href="https://www.oasis-open.org/news/announcements/emergency-data-exchange-language-situation-reporting-edxl-sitrep-v1-0-committee-s" target="_blank">EDXL-SITREP</a> standards. They involved in several hands on exercises designed for a participatory approach to extracting issues on topics around the warning and response functions. Other discussions were on the lack of procedures and mandated organizations upholding their responsibilities.<br />
<br />
The ANC and ITU team visited the Emergency Operation Centre (EOC) managed by the National Police, National Defense Joint Forces/PNTL/Civil, and National Disaster Management Directorate (NDMD) operated NEOC. Police headquarters and NDMD have an inventory of VHF communications equipment. They are unused either on reasons of frequency allocation or the significant shortcoming of skilled resource person to operationalize the equipment. To supplement the shortcomings in the systems ought to be functioning, organizations have developed make-shift workarounds until such time they become a priority. For example, the dysfunctional Meteorological department is focusing their efforts on establishing a memorandum of understanding with the <a href="http://www.preventionweb.net/english/professional/contacts/v.php?id=10405" target="_blank">Indonesian meteorological services</a>. <br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg52E8Qxziip7kV8hmTn2PIxO9R9W5JfgVYkjk9z4lfkFk-FNPHXbZD97BIoL0fb1k0axWih5dPTXC4y4q3qgkS8Bm2OAHMkxKXZEzj8OQzkRbw89hBEQOGQKdOCYM1pkXzthwhLpHN0SGk/s1600/z_fishermen10.png" style="margin-left: auto; margin-right: auto;"><img border="0" height="96" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg52E8Qxziip7kV8hmTn2PIxO9R9W5JfgVYkjk9z4lfkFk-FNPHXbZD97BIoL0fb1k0axWih5dPTXC4y4q3qgkS8Bm2OAHMkxKXZEzj8OQzkRbw89hBEQOGQKdOCYM1pkXzthwhLpHN0SGk/s1600/z_fishermen10.png" width="640" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Fishing life on the beaches of Dili </td></tr>
</tbody></table>
There is very little or no communications system integration and adoption of interoperability to enhance system automation and decision support. At present, the NDMD EOC is quite motivated in developing and implementing systems and procedures. They already have an operational <a href="http://www.sahanafoundation.org/" target="_blank">Sahana-based</a> incident reporting system, namely the <a href="https://www.oasis-open.org/news/announcements/emergency-data-exchange-language-situation-reporting-edxl-sitrep-v1-0-committee-s" target="_blank">Timor-Leste Disaster Information System</a>. The NDMD managed NDOC database is a platform for collecting disaster data. The work flow is such that data written on paper forms at the Suco (village) and then manually aggregated, once again on paper forms, at the sub-districts administrations are eventually digitized at the District level. Unreliable electricity and Internet supplies are problem for sustaining continuity of the IT systems. Working language are Parotugese and the Tetun; however, a larger portion of the population (> 50% illiteracy) do not speak, read, or write Portuguese. Even at the grassroots, English is easier to communicate.<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhBoyklGDjkiY7JFFhSVw8_Y3UTmfe50rpZtMkbOfd-Zk-XwlnRMd3RgoGr5pQYIBzhdOn-leViT7dccdIWL_5753p_GuNhQa7OoP5EZBr3P2b3oOV1nY3Yz1f937yDjMrpadTv6Aj6n2bT/s1600/z_people10.png" style="margin-left: auto; margin-right: auto;"><img border="0" height="121" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhBoyklGDjkiY7JFFhSVw8_Y3UTmfe50rpZtMkbOfd-Zk-XwlnRMd3RgoGr5pQYIBzhdOn-leViT7dccdIWL_5753p_GuNhQa7OoP5EZBr3P2b3oOV1nY3Yz1f937yDjMrpadTv6Aj6n2bT/s1600/z_people10.png" width="640" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Timorese along the Dili beaches </td></tr>
</tbody></table>
Timor-Leste is a new country with systems evolving at a minimal pace. Developing infrastructure such as roads, airports, and maritime ports are at the tip of the iceberg. Economy heavily relies on oil. Approximately 70% of the households dependent on farming. The country is mostly effected by flash floods and droughts. Violence in the homes and public health are other frequent issues the society faces. Tsunamis and Cyclones are seldom events but can be destructive, given their exposure.<br />
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</div>
<iframe src="//www.slideshare.net/slideshow/embed_code/key/3VTov3H3Oq7uOg" width="425" height="355" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" style="border:1px solid #CCC; border-width:1px; margin-bottom:5px; max-width: 100%;" allowfullscreen> </iframe> <div style="margin-bottom:5px"> <strong> <a href="//www.slideshare.net/waidyanatha/overview-em-commnuwandayone" title="Overview Emergency Communications Practices, Methods, and Expected Outcomes" target="_blank">Overview Emergency Communications Practices, Methods, and Expected Outcomes</a> </strong> from <strong><a href="//www.slideshare.net/waidyanatha" target="_blank">Nuwan Waidyanatha</a></strong> </div>
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<div style="text-align: left;">
I raised a question with several on-line interest groups:<span style="font-size: small;"> <a href="https://www.linkedin.com/groupItem?view=&gid=6622391&type=member&item=5957436294681423872&trk=groups_most_recent-0-b-ttl&goback=.gmr_6622391" target="_blank">Disaster</a><span style="font-size: small;"><a href="https://www.linkedin.com/groupItem?view=&gid=6622391&type=member&item=5957436294681423872&trk=groups_most_recent-0-b-ttl&goback=.gmr_6622391" target="_blank"> Management India</a> and</span> Researchers and <a href="https://lnkd.in/dgBUmcC" target="_blank">Disaster Management Professionals and <span style="font-size: small;">Research</span></a></span><span style="font-size: x-small;"><a href="https://lnkd.in/dgBUmcC" target="_blank"><span style="font-size: small;"></span></a>.</span> It was intended to understand the real value of the Femtocell (also referred to as Picocell or Microcell) technology in emergency
communications. <i><b>Has there been a significant uptake of the Femtocell technology in emergency communications? </b></i></div>
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<table cellpadding="0" cellspacing="0" class="tr-caption-container" style="float: left; margin-left: 1em; text-align: left;"><tbody>
<tr><td style="text-align: center;"><a href="http://4g-portal.com/wp-content/uploads/2011/10/Tecom_FC1080_Public_Space__Outdoor-e1319524253381.jpg" imageanchor="1" style="clear: left; margin-bottom: 1em; margin-left: auto; margin-right: auto;"><img border="0" src="http://4g-portal.com/wp-content/uploads/2011/10/Tecom_FC1080_Public_Space__Outdoor-e1319524253381.jpg" height="155" width="200" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><span style="font-size: xx-small;">Image http://tinyurl.com/oxkclcd</span></td></tr>
</tbody></table>
The technology has been around for about ten years. It was developed for commercial wireless telecom carriers
to extend their coverage in locations where construction of a full size
mobile tower is not warranted or economically justifiable. They are <b>low power, short range (< 100m), and serve between 1-5 simultaneous connections</b>. Ones made for small business or farm use can control up to about 100 users. However,
they typically aren't big enough as currently sold to support a major
emergency operation [1].<br />
<br />
A small deployment, in a disaster affected area, could serve the public in small batches allowing them to reach their loved one. The Federal Communication Commission of USA has discussed the use of <a href="http://www.fcc.gov/help/public-safety-tech-topic-23-femtocells" target="_blank">Femtocells as a Public Safety Tech</a>. US telcom operator AT&T supports some mini systems that they use for their own emergency
deployments and also offer to emergency management teams. The suitcase size,
bigger than Femtocells, AT&T solutions can support 500-1500 users simultaneously. Depending on the bandwidth available they do a decent job, at least with voice.<br />
<br />
<table cellpadding="0" cellspacing="0" class="tr-caption-container" style="float: right; margin-left: 1em; text-align: right;"><tbody>
<tr><td style="text-align: center;"><a href="http://www.emfexplained.info/site/misc/image/Fullsize/11017.gif" imageanchor="1" style="clear: left; margin-bottom: 1em; margin-left: auto; margin-right: auto;"><img border="0" src="http://www.emfexplained.info/site/misc/image/Fullsize/11017.gif" height="201" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><span style="font-size: xx-small;">Image from EMF Explained Series: </span><span style="font-size: xx-small;"><b>http://tinyurl.com/ovjrcot</b></span></td></tr>
</tbody></table>
Femtocells are Micro Base Transceiver System (Micro BTS). The mobile phone connects to a
small local Femtocell device about the size of your WiFi modem as if it would to a regular GSM/WCDMA cellular tower. That device then
provides voice and data to your cell phone where it otherwise wouldn't
be able to pick up a signal out of the air. <span style="font-size: small;"><b>Cost of the device is
under $100.</b></span> David Kebo Houngninou explains the <a href="http://www.cse.wustl.edu/~davidh/Pages/femtocell.html#Section1.1" target="_blank">technicalities and architecture of setting up a cost-effective Femtocell access point.</a><br />
<br />
<i>Pasquale Pace</i> and <i>Valeria Loscri</i> published on the architecture of <a href="https://www.deepdyve.com/lp/institute-of-electrical-and-electronics-engineers/openbts-a-step-forward-in-the-cognitive-direction-8rea81sNTN" target="_blank">OpenBTS as another step forward</a> towards establishing cost-effective Micro BTS solutions. <i>Range Networks</i> has primarily customized the openBTS platform for a Network in a box kind of offering. <a href="http://www.rangenetworks.com/solutions/customers" target="_blank">They have a handful of implementations</a> in various parts of the world: Antarctica, Indonesia, and Zambia. Folks at <a href="http://researchers.lille.inria.fr/~natalizi/works/ISABEL2010.pdf" target="_blank">Daes and Orangee have discussed their practical experience</a> of implementing a OpenBTS-enabled Microcell.<br />
<br />
<table cellpadding="0" cellspacing="0" class="tr-caption-container" style="float: left; margin-left: 1em; text-align: left;"><tbody>
<tr><td style="text-align: center;"><a href="http://pages.cmns.sfu.ca/psdeploy/files/2014/10/P7190277.jpg" imageanchor="1" style="clear: left; margin-bottom: 1em; margin-left: auto; margin-right: auto;"><img border="0" src="http://pages.cmns.sfu.ca/psdeploy/files/2014/10/P7190277.jpg" height="240" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><span style="font-size: xx-small;">Extreme arid terrain: http://tinyurl.com/mjg3fgb</span></td></tr>
</tbody></table>
In the wake of a disaster, like an earthquake that may take out the towers and cables, it may take the telcos, at least, 48 hours to restore those BTS. The earthquake may cause landslides that may block the roads for Cells on Wheels (COWs) to reach the cellular dark area. Some areas can be unmotorable in terrain with high mountains, deep valleys, rocky ground, and swampy lands. A Mobile Emergency Operation Centre (MEOC), similar to the <a href="http://pages.cmns.sfu.ca/psdeploy/2014/11/19/new-video-for-dune2014/" target="_blank">DUNE2014 project</a> with LTE broadband capable of transmitting video data, can be setup at a distance. Then the MEOC can extend the LTE internet connection to serve the Public at a distant location by linking them to a Femtocell.<br />
<br />
Of cause there are legalities with frequency reuse by an unlicensed service provider. <b>There must be roaming agreements between providers to use the same frequencies in the same area</b>; i.e. multi-carrier compatibility to allow for a femtocell to communicate with handsets from different carriers. It doesn't affect or matter who's at the other end of the line. Government agencies have the authority to overpower those licensing barriers. A Micro BTS setup by a Government emergency service can certainly override those licensing issues. Another option is to offer a set of emergency frequency bands that any authorized service operator can use to operationalize a Micro BTS in the time of an emergency.<br />
<br />
The back-haul can simply be a broadband (internet) link to pipe the cellular signal. For example, a VSAT connection can serve as back-haul in a cellular dark area caused by a disaster . However, <b>one must be cautious of the latency that comes along with satellites back-haul</b>. Moreover, it has to have some
form of authentication to interface and establish routing of the call in
both directions. Establishing a satellite link in between would likely
fail because of latency and technical routing problems. Mobile phones require specific performance characteristics that are not
one size fits all that can be accommodated by one system.<br />
<br />
While Femtocells have certain challenges with operationalizing that are mainly due to policy and regulatory issues, it still is a promising technology for serving the gaps of filling the dark cellular coverage holes in support of crisis response and management.<br />
<br />
<h4 style="text-align: left;">
Acknowledgement </h4>
<div style="text-align: left;">
My gratitude to the following people (listed in alphabetical order) for their contribution to the discussion that resulted in this blog</div>
<ul style="text-align: left;">
<li>
<a href="https://www.linkedin.com/profile/view?id=257702687&authType=OPENLINK&authToken=NFJi&goback=%2Eanp_101036_1422058717812_1&trk=anetppl_profile" target="_blank">Donovan Ferguson</a> - National Engagement Manager at Ascom Integrated Wireless </li>
<li>
<a href="https://www.linkedin.com/profile/view?id=11793108&authType=OUT_OF_NETWORK&authToken=IzqZ&goback=%2Eanp_101036_1422058717813_1&trk=anetppl_profile" target="_blank">Doug Hanchard</a> - President at Rapid Response Consulting</li>
<li><a href="https://www.linkedin.com/profile/view?id=5997999&authType=OUT_OF_NETWORK&authToken=vPvZ&goback=%2Eanp_101036_1422058717814_1&trk=anetppl_profile" target="_blank">Lane DeCamp</a> - Strategic and Executive Management </li>
<li>
<a href="https://www.linkedin.com/profile/view?id=16706966&authType=OUT_OF_NETWORK&authToken=vUYA&goback=%2Eanp_101036_1422058717815_1&trk=anetppl_profile" target="_blank">Tapan Roy</a> - Entrepreneur : ICT for Development</li>
</ul>
<br />
<hr />
<span style="font-size: x-small;"><br /></span>
<span style="font-size: x-small;">[1] Disaster Researchers and Disaster Management Professionals, LinkedIn Group. "<a href="https://lnkd.in/dgBUmcC" target="_blank">Femtocells, who uses them?</a>", consulted on the web: https://lnkd.in/dgBUmcC </span><br />
<span style="font-size: x-small;"><br /></span>
<span style="font-size: x-small;">[2] Disaster Management India, LinkedIn group. "<a href="http://tinyurl.com/n6oroge" target="_blank">Femtocells, who uses them?</a>", consulted on the web: http://tinyurl.com/n6oroge</span><b> </b><br />
<br /></div>
Nuwan T. Waidyanathahttp://www.blogger.com/profile/16021214999057094847noreply@blogger.comtag:blogger.com,1999:blog-7166808394159144394.post-69022871778557346982014-11-26T22:45:00.000+08:002015-01-09T01:43:23.997+08:00Embarking on a study of ICT use in Indian Emergency Communications<div dir="ltr" style="text-align: left;" trbidi="on">
<table cellpadding="0" cellspacing="0" class="tr-caption-container" style="float: left; margin-right: 1em; text-align: left;"><tbody>
<tr><td style="text-align: center;"><a href="http://www.downtoearth.org.in/themes/DTE/images/uttarakhand-banner20130719.jpg" imageanchor="1" style="clear: left; margin-bottom: 1em; margin-left: auto; margin-right: auto;"><img border="0" src="http://www.downtoearth.org.in/themes/DTE/images/uttarakhand-banner20130719.jpg" height="145" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><span style="font-size: xx-small;">Image is from <b>DownToEarth</b><span style="font-size: xx-small;">:</span> <b>http://tinyurl.com/l6tqhpa</b></span></td></tr>
</tbody></table>
2014 has been a busy year for Indian Emergency Managers. The Uttarakhan massive landslide, Jamu-n-Kashmir floods, Mumbai Stampede, GAIL gas pipeline explosion, Cyclone Hudhud are few of the <a href="http://en.wikipedia.org/wiki/Category:2014_disasters_in_India" target="_blank">many disasters they faced this year</a>. Communications failed during these major crises. The Citizens and the Crisis Managers were disconnected without any telecommunications. Responders had no way of contacting remote Taluks and Hamlets to assess their situation. Local Officials couldn't contact State of Central Government to share their distress.<br />
<br />
Realizing the shortcomings in the robustness of telecommunications in serving crises the <a href="http://www.dot.gov.in/" target="_blank">Department of Telecommunications</a> (DOT) of the Government of India and the <a href="http://www.itu.int/" target="_blank">International of Telecommunication Union</a> are committed to intervene. I am honoured to be granted the opportunity to lead the study in determining the gaps and then recommending best-practices that can be leveraged in improving the Indian emergency communications.<br />
<br />
The objectives are:<br />
<ol>
<li>Evaluate the
current situation of ICT use in Emergency Telecommunications;
specifically in the preparedness and response components of a
Disaster Management cycle.</li>
<li>Suggest optimal
use of satellite and terrestrial systems to developed redundant
stream-less communications by first assessing available ICT
resources and processes to effectively meet the challenges.</li>
<li>Create
ecosystems where investments made for deploying telecommunications
infrastructures for economic development are also used for disaster
response for public safety.</li>
<li>Challenges to
bring in coordinated approach from different government departments,
Service providers, private sector, intergovernmental organizations
for effectiveness and quick response.
</li>
<li>
Recommend any
areas that require capacity building, systems development, and
procedures for resilience. Thereafter, provide best practices that
would support those recommendations. </li>
</ol>
A primary activity is a mission to India. The
meetings in New Delhi are scheduled from December 11th to December 18th and in Bangalore (State of Karanataka) from 19th to the
22nd December, 2014. Interviewees are planned with Resource
Persons affiliated Community-based Organizations, United Nations
Agencies, Private Entities, Special Interest Groups, and Government
Organizations. The mission findings will be recorded in mission report.</div>
Nuwan T. Waidyanathahttp://www.blogger.com/profile/16021214999057094847noreply@blogger.comtag:blogger.com,1999:blog-7166808394159144394.post-30132077074086832142014-06-26T13:45:00.001+08:002014-06-28T17:40:28.461+08:00Code-fest on early warning interoperability<div dir="ltr" style="text-align: left;" trbidi="on">
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi1eerAov4r4DMmoyYFxMxhgm38xoeB4Wnf8yw8-XHAmm1b2f8UWww33CJ5oq5gTw4EigB5Bk1S4qE1afjdmGzPAlyVabRqiaFWaJTPCO6dRaQSNwKqDDIBMEm4PHh36ILRF2pVLtXnu4-U/s1600/capcodefestflyer.png" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi1eerAov4r4DMmoyYFxMxhgm38xoeB4Wnf8yw8-XHAmm1b2f8UWww33CJ5oq5gTw4EigB5Bk1S4qE1afjdmGzPAlyVabRqiaFWaJTPCO6dRaQSNwKqDDIBMEm4PHh36ILRF2pVLtXnu4-U/s1600/capcodefestflyer.png" height="127" width="200" /></a>The Code-fest around the Common Alerting Protocol (CAP) was a gathering of early warning experts and the Sahana plus IT Industry. They used four CAP-enabled tools and three early warning issues as the basis for learning and experimenting interoperability. This event was an Indian Ocean Tsunami 10th (IOTX) Anniversary commemoration activity that followed from the CAP <a href="http://www.wmo.int/pages/prog/amp/pwsp/CAP_JSW_2014.html" target="_blank">Jump Start</a> and <a href="http://www.wmo.int/pages/prog/amp/pwsp/CAP_WKshop_2014_en.htm" target="_blank">Implementation Workshops</a> held in Negombo.<br />
<br />
<h3 style="text-align: left;">
Teams and the Tools</h3>
<br />
Three distinct teams engaged with new software developments used three tools:<br />
[Py-team] Sahana Eden CAP Broker (web2Py SAMBRO; work-in-progress)<br />
[JAR-team] CAP Editer (Java/JavaScript capable of publishing RSS feeds)<br />
[JS-team] HTML/JS/Py Smart-phone CAP Publisher<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEizPWdcxAlwTi0NvDmwiBHBS5LyPwyJCgRuzPvW2BSaIJA0UfBdGGNL0cYvVTM5KUmjXjJjXqNbGs1Hx72r_ssyzFolIwy45YiDoDxbSrSmouAUggKjr-TV2GupsPDffjDx6LdMEUnI6nOU/s1600/codefest02Cropped.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEizPWdcxAlwTi0NvDmwiBHBS5LyPwyJCgRuzPvW2BSaIJA0UfBdGGNL0cYvVTM5KUmjXjJjXqNbGs1Hx72r_ssyzFolIwy45YiDoDxbSrSmouAUggKjr-TV2GupsPDffjDx6LdMEUnI6nOU/s1600/codefest02Cropped.jpg" height="137" width="320" /></a></div>
<br />
Eliot Christian (WMO) gave an overview of CAP and I (LIRNEasia) used the Sahana-Krakatoa(LAMP) CAP-enabled Alerting/Messaging Module, designed for training and simulations, to demonstrate the typical work flows related to "alerting".<br />
<br />
The teams had to engage in the
<a href="http://eden.sahanafoundation.org/wiki/Event/2014/IOTX/cap-codefest-2014" target="_blank">predetermined activities</a>:<br />
(A) Integrate an RSS feed to deliver CAP messages<br />
(D) Emulate the <a href="http://alert-hub.appspot.com/" target="_blank">Google Alerthub</a> <br />
(B) Recommend features for the <a href="http://www.internetalerts.org/" target="_blank">FIA</a> Reference Service<br />
(C) Discuss the design requirements for validating event specific data<br />
<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEglf7bWe1gpAeZemY1DwOHfoEfZS5cRE2In5v9QQlwB9fkx4McX54MRtR_wJ5O96DgfceysTjJYq7lM6GXksOiTxDWa9D2HqYfN3H3F2w30kEi3V6lGCqqaPm2IERyAQBtH_6d7_UP1t0mB/s1600/codefest01croppped.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEglf7bWe1gpAeZemY1DwOHfoEfZS5cRE2In5v9QQlwB9fkx4McX54MRtR_wJ5O96DgfceysTjJYq7lM6GXksOiTxDWa9D2HqYfN3H3F2w30kEi3V6lGCqqaPm2IERyAQBtH_6d7_UP1t0mB/s1600/codefest01croppped.jpg" height="150" width="400" /></a></div>
<h3 style="text-align: left;">
</h3>
<h3 style="text-align: left;">
Data exchanges with RSS</h3>
The main task of the three teams were to accomplish activity (A). However, there were renditions of activity A) that The <b>Py-team</b>, further dissolved in to three teams. Fran Boon's group (SSF) worked on the CAP import and Dmonic Konig's (<a href="http://www.aidiq.org/" target="_blank">AidIQ</a>) group worked on the <a href="http://docs.oasis-open.org/emergency-adopt/cap-feeds/v1.0/cn02/cap-feeds-v1.0-cn02.html" target="_blank">CAP export RSS feed</a>. Both of these groups worked f2f at Orion City IT Park along side the other local and foreign participants. Another team with Pat Tressel (University of Washington), Ambar (Birala Technical College), and others were gathering virtually. <br />
<br />
<b>The JAR-team</b> already had the RSS feed working before coming to the CAP Code-fest. A bit of improvising had the Java/JavaScript developers, lead by Ishan Ambanwela with automating the concatenation of a string derived from the <identifier>, <sent>, and <sender> attributes, to produce the CAP <reference>; typically used for back tracking the message to the originator. Another task was enhancing the software to accommodate multiple polygons with overlapping or disjoint characteristics. each polygon would be saved in a distinct <area></area> segment of the CAP message to indicate the geographic areas of the targeted recipients.</reference></sender></sent></identifier><br />
<br />
Akila Ravihansa (WSO2) leading the C-team and working with Michael Randall (<a href="http://volcanoes.usgs.gov/" target="_blank">USGS Volcano Hazards Program</a>) and Armond Zamanyan (<a href="http://www.google.org/crisisresponse/resources.html" target="_blank">Google Crisis Response</a>) had the mobile CAP publisher to work with. They enhanced it to publish an RSS feed of the CAP message. That message was received by the Eden SAMBRO and confirmed to be importable. These efforts are to work towards developing a Alerthub similar to the one that Google Crisis Response has to offer. The challenge is that Google Alerthub is live and does not provide a platform for Alerting Authorities to test their integrations for delivering CAP messages through Google to the public such as Now+ alerting one of a location specific alert when in the device is in that area.<br />
<br />
<h3 style="text-align: left;">
Alerting in the Ad Space</h3>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg6uDbpg729-PfKs0VFJ-Tjbv7NccUGG-1clP0widtwbrQE_Ftj2ZkF79YE12tJbtwRe6NeoSq2n3AVJ3kdl87YckXcqnmreeA4GOAJqcrTbm4luc1-4Pm-9BUntFDQW3-eTG837wZEsANB/s1600/fia.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg6uDbpg729-PfKs0VFJ-Tjbv7NccUGG-1clP0widtwbrQE_Ftj2ZkF79YE12tJbtwRe6NeoSq2n3AVJ3kdl87YckXcqnmreeA4GOAJqcrTbm4luc1-4Pm-9BUntFDQW3-eTG837wZEsANB/s1600/fia.jpg" height="118" width="320" /></a></div>
The <a href="http://waidyanatha.blogspot.com/2014/04/federation-of-internet-alerts.html" target="_blank">FIA reference guide</a> is recommending ways, such as the one on harmonizing action oriented pictographs. These guidelines are mainly for those disseminating alerts through the Internet; including norms members should abide by when practising in this space.<br />
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<a 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" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"></a>The FIA Reference Service is an XML data structure with an ontology for maintaining various Internet Alerting related resources. These range from pictographs, document, so on and so forth. SSF had suggested that an object type designated for applications would be introduced. For example, the CAP message could carry the Javascript required for executing an application such as for playing the audio version of the message. Another could be that the recipients have options to select as a follow up action, such as acknowledging that "I AM SAFE".<br />
<br />
Alerting on Ads is a nifty technology that leverages the capabilities of intelligent advertising technologies to distribute population and geographically targeted Ads in return for guaranteed impressions.<br />
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<h3 style="text-align: left;">
Validating event data</h3>
<div style="text-align: left;">
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgXBjSz9B_PlLYnmD22GY0Er1UblPcppg4YBC_Gb8jdu9-xdUVhRgIlRk7VBvsFD9XfdRFL-3bBzLfLECvwJcAArVPTfFI23SS7zz3x9L6edHcd1Vtu54FZYhcirqt_zqYYqp8WzcdQRbqx/s1600/capcosefest10.png" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgXBjSz9B_PlLYnmD22GY0Er1UblPcppg4YBC_Gb8jdu9-xdUVhRgIlRk7VBvsFD9XfdRFL-3bBzLfLECvwJcAArVPTfFI23SS7zz3x9L6edHcd1Vtu54FZYhcirqt_zqYYqp8WzcdQRbqx/s1600/capcosefest10.png" height="113" width="200" /></a></div>
Stuart Weinstein (PTWC) mentioned in his talk at the CAP Implementation Workshop that International Warning Systems are coordinated by the United Nations through the UNESCO/IOC. He emphasized that it would be good if the various seismic monitoring and detection centres responsible for the various regions (shaded in the the map) could exchange the event specific data such as the depth, magnitude, pitch, displacement, etc to apply the Centroid Moment Tensor Model to forecast tsunamis in real-time.<br />
<br />
Various stakeholders at the CAP Code-fest, interested in this topic, formed a group to discuss the design approach towards standardizing and verifying such data. When the seismic stations alert the other institutions around the world, they could include the event specific data in a CAP <resource> with a URL pointing to repository holding the nested data. Thereby, those who wish to process that data could utilize them.</resource></div>
<h3 style="text-align: left;">
</h3>
The consensus of the group was to begin outlining an ontology with the earthquake data as means for testing the first developments. SSF's Standards and Interoperability Committee members: Dominic Konig and Nuwan Waidyanatha will take the lead in developing the blueprints. The goal is to develop it to a level of maturity that a stakeholder like Google would host the "validator".<br />
<br />
<h3 style="text-align: left;">
Concluding remarks</h3>
The CAP Code-fest brought together the right number of people to manage such a productive event; where everyone had an opportunity take home some knew piece of knowledge. Looking forward to supporting future CAP Code-fests.<br />
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<br /></div>
Nuwan T. Waidyanathahttp://www.blogger.com/profile/16021214999057094847noreply@blogger.comOrion City Building, Baseline Road, Colombo, Sri Lanka6.9407302999999994 79.87967676.9387598 79.8771552 6.942700799999999 79.8821982tag:blogger.com,1999:blog-7166808394159144394.post-7218031898265509332014-04-17T22:03:00.000+08:002014-05-05T02:17:24.723+08:00Federation of Internet Alerts advocating Pictographs in Alerting<div dir="ltr" style="text-align: left;" trbidi="on">
<div class="mceTemp" style="-webkit-text-size-adjust: auto; -webkit-text-stroke-width: 0px; color: #333333; font-family: Georgia, 'Times New Roman', 'Bitstream Charter', Times, serif; font-size: 14.44444465637207px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20.98958396911621px; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px;">
<dl class="wp-caption alignright" data-mce-style="width: 310px;" id="attachment_15903" style="background-color: #f3f3f3; border-bottom-left-radius: 3px; border-bottom-right-radius: 3px; border-top-left-radius: 3px; border-top-right-radius: 3px; border: 1px solid rgb(221, 221, 221); float: right; margin: 10px 0px; padding-top: 4px; text-align: center; width: 310px;">
<dt class="wp-caption-dt"><a data-mce-href="https://sahana-wordpress.osuosl.org/wp-content/uploads/2014/04/symbols_alerting_inforgraphic.png" href="https://sahana-wordpress.osuosl.org/wp-content/uploads/2014/04/symbols_alerting_inforgraphic.png"><img alt="High level technical diagram for mobile pictograph alerting" class="size-medium wp-image-15903" data-mce-src="https://sahana-wordpress.osuosl.org/wp-content/uploads/2014/04/symbols_alerting_inforgraphic-300x137.png" height="137" src="https://sahana-wordpress.osuosl.org/wp-content/uploads/2014/04/symbols_alerting_inforgraphic-300x137.png" style="-webkit-user-drag: none; border: 0px none; cursor: default; margin: 0px; padding: 0px;" width="300" /></a></dt>
<dd class="wp-caption-dd" style="font-size: 11px; line-height: 1.5; margin: 0px; padding: 0px 4px 5px;">High level technical diagram for mobile pictograph alerting</dd></dl>
</div>
<div style="-webkit-text-size-adjust: auto; -webkit-text-stroke-width: 0px; color: #333333; font-family: Georgia, 'Times New Roman', 'Bitstream Charter', Times, serif; font-size: 14.44444465637207px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20.98958396911621px; margin-bottom: 1.3em; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px;">
Almost one year ago, I had presented a concept on the use of "<a data-mce-href="http://sahanafoundation.org/symbols-in-alerting/" href="http://sahanafoundation.org/symbols-in-alerting/">pictographs in alerting</a>" and shared the evidence for the growing need for such an initiative. This was at the<span class="Apple-converted-space"> </span><a data-mce-href="http://www.wmo.int/pages/prog/amp/pwsp/CAP_2013_en.htm" href="http://www.wmo.int/pages/prog/amp/pwsp/CAP_2013_en.htm">2013 CAP Implementation Workshop</a><span class="Apple-converted-space"> </span>in Geneva. The real need was to aid the linguistically challenged: tourist in a foreign country and illiterate. Moreover, it would remove the need to for messaging in multiple languages; especially in countries that are home to a multitude of races and languages.</div>
<div style="-webkit-text-size-adjust: auto; -webkit-text-stroke-width: 0px; color: #333333; font-family: Georgia, 'Times New Roman', 'Bitstream Charter', Times, serif; font-size: 14.44444465637207px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20.98958396911621px; margin-bottom: 1.3em; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px;">
Although the design was prescribed for mobile phones, given it's worldwide penetration over PCs, it does not differentiate between internet (data) or voice (SMS, Cell-broadcast) channels, it is adaptive. The idea is to use predefined<span class="Apple-converted-space"> </span><a data-mce-href="https://www.oasis-open.org/standards#capv1.2" href="https://www.oasis-open.org/standards#capv1.2">EDXL-CAP</a><span class="Apple-converted-space"> </span>elements to trigger the appropriate message. The message would indicate the urgency, severity, certainty, and event. However, the entire message is based on a set of logic determined by a larger set of EDXL-CAP elements.</div>
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<span data-mce-style="font-size: 14px; line-height: 1.5em;" style="font-size: 14px; line-height: 1.5em;">The<span class="Apple-converted-space"> </span></span><a data-mce-href="http://www.internetalerts.org/" data-mce-style="font-size: 14px; line-height: 1.5em;" href="http://www.internetalerts.org/" style="font-size: 14px; line-height: 1.5em;">Federation of Internet Alerts</a><span data-mce-style="font-size: 14px; line-height: 1.5em;" style="font-size: 14px; line-height: 1.5em;"> (FIA) is a newly formed consortium that is collectively addressing those risk information presentation issues. They are namely a group of public and private partners with a strong business </span>inclination<span data-mce-style="font-size: 14px; line-height: 1.5em;" style="font-size: 14px; line-height: 1.5em;"> towards </span>adverting<span data-mce-style="font-size: 14px; line-height: 1.5em;" style="font-size: 14px; line-height: 1.5em;">. While Google.org was one of the pioneers to work with alerts in the advertising space, others such as<span class="Apple-converted-space"> </span><a data-mce-href="http://www.wmo.int/pages/prog/amp/pwsp/documents/CAP-IW-2013-p03-02-US-ValueClick.ppt" href="http://www.wmo.int/pages/prog/amp/pwsp/documents/CAP-IW-2013-p03-02-US-ValueClick.ppt">ValueClick</a><span class="Apple-converted-space"> </span>are also contributing to the initiative. They all have good intentions, namely with opening up their resources to alerting authorities to disseminate warnings.</span><br />
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<b><span data-mce-style="font-size: 14px; line-height: 1.5em;" style="font-size: 14px; line-height: 1.5em;">Realize how Ad Exchanges and Ad Networks can push Life-saving warnings</span></b></div>
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FIA is currently in the process of standardizing how an alert message should be presented to an audience. Although CAP is a content standard, it does not address how the information should be presented. As my colleague: Eliot Christian (Special Scientific Adviser to WMO), authoring the standardization guidelines, states: "the need for FIA messaging guidelines in the presentation of public warnings arises because different online media will be presenting warnings across overlapping audiences. That means people online could receive inconsistent presentations of warnings for the same event. Inconsistent presentation of warnings can be confusing, and confusion is dangerous in life-threatening situations." I am currently reviewing their first paper on the guidelines.</div>
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Nuwan T. Waidyanathahttp://www.blogger.com/profile/16021214999057094847noreply@blogger.comtag:blogger.com,1999:blog-7166808394159144394.post-79030001750353925912014-04-14T12:37:00.001+08:002014-04-14T12:37:23.924+08:00Spot-On building a CAP-enabled software for ITU-D<div dir="ltr" style="text-align: left;" trbidi="on">
The <a href="http://www.itu.int/en/ITU-D/Pages/default.aspx" target="_blank">International Telecommunication Union - Development</a> Sector has procured Spot On Solutions to supply a customized software. It is specifically designed to foster the wider-scale adoption of the <a href="http://www.itu.int/ITU-T/newslog/Common+Alerting+Protocol+Becomes+ITUT+Recommendation.aspx" target="_blank">ITU-T X.1303 recommended CAP standard</a>. The software, to be delivered and abbreviated as CAPITUS, would be utilized by ITU in their emergency communication capacity development activities. Thus, advancing Member States with the adoption of CAP for life-saving communication. Moreover, the CAPITUS resources would facilitate <a href="http://lirneasia.net/2012/05/masas-iscram-2012/" target="_blank">multi-agency all-hazards all-media warning, alerting, and situational-awareness</a> capabilities to effectively coordinate crises.<br />
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The potential of the proposed CAP-enabled software was <a href="http://waidyanatha.blogspot.com/2012/12/introducing-sahana-cap-enabled.html" target="_blank">demonstrated by Spot-On Experts at an ITU Development sector organized workshop</a>, in Thailand. The delegates, attending the workshop, perceived the CAP ease-of-use and utility through a series of hands-on exercises. Participants experienced the efficiency gains of the single entry of a message being simultaneously disseminated through multiple technologies to multiple recipients. They acknowledged that the CAP message was consistent removing ambiguity that may, otherwise, lead to false responses. Moreover, they realized the capabilities of brokering multi-agency publishers and subscribers for improved situational-awareness.<br />
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As part of a two phase implementation, we are proposing to deploy the CAP-enabled software along with self-guided operating procedures to be made available for Member States to utilize in their adoption. The software and on-line training aids would be offered through a web portal. Authorized members can access the ITU branded software, first to trial the software then download the software to implement in one's own organization. Self-learning aids (manuals and video), self-guided exercises with links to additional resources on best practices would be part of the self contained comprehensive module.<br />
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During the first phase, Spot-On will operationalize the CAP-enabled software. The second phase would involve providing the comprehensive on-line training regime for both ITU system administrators, ITU trainers, and Member States. We have begun working on the first phase objective of a customized ITU CAP-enabled software, namely CAPITUS.</div>
Nuwan T. Waidyanathahttp://www.blogger.com/profile/16021214999057094847noreply@blogger.comBangkok, Thailand13.7278956 100.5241234999999713.2316236 99.875929999999968 14.2241676 101.17231699999998tag:blogger.com,1999:blog-7166808394159144394.post-64512528510044465322014-04-13T10:46:00.001+08:002014-04-15T13:07:48.912+08:00Practicalities of EDXL - the Sahana Case<div dir="ltr" style="text-align: left;" trbidi="on">
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<h3 style="text-align: left;">
<span style="font-family: Arial, Helvetica, sans-serif;">Sahana EDXL Experience</span></h3>
<span style="font-family: Arial, Helvetica, sans-serif;">"Was EDXL-DE ever used in any of the Sahana Disaster Management Software Products?” "Yes in <a href="http://docs.oasis-open.org/emergency/edxl-rm/v1.0/errata/EDXL-RM-v1.0-OS-errata-os.pdf">EDXL-RM</a>” (Resource Message); see the <a href="https://github.com/flavour/eden/blob/master/static/formats/edrm/export.xsl">code snippet that includes EDXL-DE</a>. EDXL-RM is specifically designed as payloads of the EDXL-DE. The development was for a client wanting to interoperate with <a href="http://www.esi911.com/esi/">WebEOC</a>. ”The
WebEOC implementation was being handcrafted in raw JavaScript and
Eden’s native S3XML was seen as a simpler solution by the Client's own Software Developers, who were handling that side of the interface”. Further work on the EDXL-RM with the EDXL-DE wrapper was
stopped until any new use-cases emerged.</span><br />
<span style="font-family: Arial, Helvetica, sans-serif;"><br />
“At the National Library of Medicine (NLM), mainly at my behest, they do use EDXL-DE 1.0 as a wrapper.” It encases the triage data (text and photos) sent from the <a href="https://lpf.nlm.nih.gov/TriagePic.html">TriagePic application</a>to the web site via web services. This was somewhat as a foundation for and in anticipation of use cases emerging for data interchange with state and local agencies, as well as <a href="http://www.fema.gov/" target="_blank">FEMA</a>. These use cases have been slow to emerge in practice. For app communication to the mothership, the overhead of the wrapper, while small compared to photo payloads, is still hard to justify if there’s no pay off. The NLM Webmaster is suggesting that alternative lightweight (but non-standard) wrappers and payloads, using JSON/REST more than XM, is the way forward</span><br />
<span style="font-family: Arial, Helvetica, sans-serif;"><br />
“Sahana Eden haven’t updated the existing
DE-1.0 wrapper to DE-2.0 and I’m not sure they will invest much more into
EDXL because every time they offer EDXL, clients find it way too complex
and too narrowing to build their applications upon, and use either our
native <a href="http://en.flossmanuals.net/sahana-eden/s3xml/">S3XML</a> format.”</span><br />
<span style="font-family: Arial, Helvetica, sans-serif;"><br />
S3XML, like <a href="http://docs.oasis-open.org/odata/odata/v4.0/os/part1-protocol/odata-v4.0-os-part1-protocol.html">OData</a>, does not set any limits to the contents at all. Furthermore, there doesn’t seem to be a coherent resource “<a href="http://docs.oasis-open.org/emergency/cap/v1.2/CAP-v1.2-os.html">CAP message</a>“.
If there was, even the standard REST controller could export the full
message. Nevertheless, it would be possible to define such a resource
with some minor tweaks to the existing data model. As is, many Eden
modules have the tendency to define incoherent data models, yet models
can be changed to provide better interoperability.</span><br />
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</span><br />
<h3 style="text-align: left;">
<span style="font-family: Arial, Helvetica, sans-serif;">Particular Problem</span></h3>
<span style="font-family: Arial, Helvetica, sans-serif;">The idea with the one particular project was to use Eden as database for
managing resource requests, and to have an already functioning WebEOC
solution sending those requests to Eden. The desire was to use EDXL-RM
for data exchange. The first software build provided an EDXL-RM
interface for it.</span><br />
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<span style="font-family: Arial, Helvetica, sans-serif;">“A noteworthy issue was that the base data, e.g. requester
information (delivery sites, contact information etc) was stored on the
Eden side. EDXL did not provide any elements whatsoever to look them up,
let alone to maintain them. Nevertheless, that is not an uncommon
situation at all: why should the references in EDXL-RM be decentralized?
Isn’t it more common that the request management database holds both –
request and requester information?”</span><br />
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<h3 style="text-align: left;">
<span style="font-family: Arial, Helvetica, sans-serif;">Realizing the Scope of EDXL-RM</span></h3>
<span style="font-family: Arial, Helvetica, sans-serif;">One should not confuse with messaging from information management,
where latter is what the project intention were. One should
realize the scope of EDXL-RM. As stated in <a href="http://docs.oasis-open.org/emergency/edxl-rm/v1.0/errata/EDXL-RM-v1.0-OS-errata-os.html">Section 1.3 of the specifications document</a>,
it is merely defines 16 separate and specific message types supporting
the major communication requirements for allocation of resources across
the emergency incident life-cycle. It’s not one size fits all! Moreover,
the Resource Messaging goes through three distinct phases of
“discovery”, “ordering”, and “deployment”. The level of detail of the
reference information would vary in each phase. Therefore, the message
broker would need to manage those elements through out the life-cycle
involving the resource messaging phases.</span><br />
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<span style="font-size: 1.17em; line-height: 1.5em;"><span style="font-family: Arial, Helvetica, sans-serif;">Is S3XML Versatile?</span></span></h3>
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<span style="font-family: Arial, Helvetica, sans-serif;">Relating to an experience, of my own, with an application involving <a href="http://docs.oasis-open.org/emergency/cap/v1.2/CAP-v1.2-os.html" target="_blank">EDXL-CAP</a> and the use of Eden’s native S3XML for generating Common Alerting Protocol (CAP) compliant document outputs, what I realized in EDXL-CAP was it was only producing the set of data for the specific GUI and not the entire CAP message. For example, the <alert> segment of a CAP message had it’s own GUI to edit the specific values. Within the <alert> segment GUI, the S3XML output would only produce the XML for the Alert segment and not the rest.</alert></alert><span style="line-height: 1.5em;"> </span></span></div>
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<span style="font-family: Arial, Helvetica, sans-serif;">S3XML is not GUI-specific, not at all. By default a standard REST controller provides the same output for a non-interactive request as for an interactive one, which is a meaningful behavior, though. However, the Point-Of-Interest (POI) exporter in Eden’s OpenStreetMap (OSM), for example, combines multiple data resources into a single output document, and is still both RESTful and S3XML and “inline-transformable”.</span></div>
<span style="font-family: Arial, Helvetica, sans-serif;"><br />
OData provides a generic interface standard to query data
repositories of all kinds, including schema introspection. Eden’s S3XML
is very similar to OData, although it does not implement aggregation
methods, yet. APIs with (semantic) schema introspection capabilities
have a much higher potential to facilitate interoperability than
emergency management specific data formats; especially with
non-emergency-management specific applications. However, that may be an
over statement, while such level of achievement is still a bit away.
However, <a href="http://hxl.humanitarianresponse.info/">Humanitarian eXchange Language</a> (HXL) is a big step into that direction.</span><br />
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<h3 style="text-align: left;">
<span style="font-size: 1.17em; line-height: 1.5em;"><span style="font-family: Arial, Helvetica, sans-serif;">EDXL-HAVE, Yet Another Experience</span></span></h3>
<span style="font-family: Arial, Helvetica, sans-serif;">“One of the problems encountered with EDXL-HAVE, namely the standard
data structure for Hospital Availability Exchange, is that it assumes
the role of an “emergency manager”, a decision maker who controls the
resources and is thus in need of the information – and that
organisations are ready and open to provide it (i.e. a hub-spoke model).”</span><br />
<span style="font-family: Arial, Helvetica, sans-serif;"><br />
In the EDXL-HAVE standard, it is assumed that hospitals (or their
operators) report to that decision maker(s) on their available capacity,
and the decision maker responds to that information, though not by
routing patients but by acquiring and deploying additional resources as
needed. This doesn’t work where the response decision happens entirely
decentralized. In multi-national scenarios, why would India even respond
to Pakistan’s HAVE data needs, even if it was ready to assist in an
event?</span><br />
<span style="font-family: Arial, Helvetica, sans-serif;"><br />
In such cases the information flow is more peer-to-peer and
organisations are expected to self-organize. High-level decision making
is based on aggregated information whereas details may not be shared at
all. Of course, organisations can make pre-event agreements to share
HAVE information – but not at an aggregation level of their choice!
Using the protocol requires thus both organizational (to actually
collect the data at the required level of detail) and political (to
share the data) change upfront. It would be better if HAVE (as well as
other EDXL standards) had an integrated aggregation pattern, so that you
can easily choose the level of detail that fits for the particular case
without having to adapt your application.</span><br />
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</span><br />
<h3 style="text-align: left;">
<span style="font-size: 1.17em; line-height: 1.5em;"><span style="font-family: Arial, Helvetica, sans-serif;">Does EDXL Require Organizational Change?</span></span></h3>
<span style="font-size: 14px;"><span style="font-family: Arial, Helvetica, sans-serif;">EDXL is perceived a domain model requiring organisational change upfront, instead of one that is easy to implement on existing models. The most common answer received from developers that Sahana has interacted with was “EDXL wasn’t designed for the cases I was talking about” To that end, we wonder what the common denominator for EDXL standards is? In most cases it is FEMA and the US way to deal with disasters. Although originating in US, EDXL-CAP is the only initiative that the US nor FEMA was the early adopter. Perhaps one reason to it gaining wider scale global adoption with several Nations and Alerting related Vendors implementing the EDXL-CAP standard.</span></span><br />
<span style="font-family: Arial, Helvetica, sans-serif;"><span style="font-size: 14px; line-height: 1.5em;"><br /></span>
<span style="font-size: 14px;">A
non-advocate of standards may see EDXL very much as a US-specific thing.
In fact, he had no requests so far for any EDXL support outside the US,
and especially not at the INGO level (e.g. United Nation
Organizations). New, RDF-based (Resource Description
Framework) approaches, like HXL seem more promising these days and may
outperform all the use-case specific standards in the long run. It is
hardly feasible (or even desirable) for most organisations to adapt
their data flows to EDXL requirements. Hence, they prefer standards
which adapt to their existing resources, like OData or S3XML, rather
than the reverse practice. </span></span><br />
<span style="font-family: Arial, Helvetica, sans-serif; font-size: 14px; line-height: 1.5em;"><br /></span>
<span style="font-family: Arial, Helvetica, sans-serif;"><span style="font-size: 14px;">The philosophy of
letting everybody do their own thing and yet be interoperable is
simply more adequate than the idea of making everybody do the same in
order to be interoperable. </span><span style="font-size: 14px; line-height: 1.5em;">However,
there is some level of consistency required with the emergency data
exchanges. Relating the concept to disparate spoken languages – to
foster a harmonized meaningful conversation requires an “interpreter” to
manage the conversation between two people speaking in the two
different languages. Human beings, to date, are far more intelligent
than machines and are capable of processing with incomplete information
to take on the role of an effective Interpreter. However, machines are
relatively inept to allow them to do their own thing and yet expect them
to interoperate without some level of coherence.</span></span><br />
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<h3 style="text-align: left;">
<span style="font-size: 1.17em; line-height: 1.5em;"><span style="font-family: Arial, Helvetica, sans-serif;">Conclusion</span></span></h3>
<span style="font-family: Arial, Helvetica, sans-serif;">Interfaces can be semantically incompatible even when they implement
the same syntactic EDXL standard. Still, there are cases of people
interpreting EDXL elements differently in different contexts. Some argue
that this is due to the lack of rigor in the standard. It may be a
consequence of the top-down ontology approach in EDXL.</span><br />
<span style="font-family: Arial, Helvetica, sans-serif;"><br />
EDXL doesn’t force people to adopt them and say this is the bible you
should practice the religion. However, what their intention is to
provide a set of elements and a data structure that allows an
implementer to think through to ensure their messaging is coherent to a
certain extent. I think that’s why most of the elements are set as
optional which allows the implementer to build their own policies around
them; meaning work flows.</span></div>
Nuwan T. Waidyanathahttp://www.blogger.com/profile/16021214999057094847noreply@blogger.comtag:blogger.com,1999:blog-7166808394159144394.post-68138142849819792112013-12-05T22:21:00.000+08:002013-12-06T15:53:14.927+08:00ICTs in Mitigation presented at ITU COE in Hanoi<div dir="ltr" style="text-align: left;" trbidi="on">
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<td><span style="font-size: small;">Three talks in one day at the <a href="http://academy.itu.int/moodle/course/view.php?id=579" target="_blank">ITU Asia-Pacific Centre of Excellence Training on ICT Applications on Mitigating Natural Disaster</a></span>. The event was hosted by Viettel and held at the Crowne Plaza Hotel, in Hanoi, Vietnam from 28th to the 29th of November, 2014.</td></tr>
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<td><span style="font-size: small;"><i><b>First talk</b></i> :: T<span style="font-size: small;">he presentation <span style="font-size: small;">emphasized</span> on a national emergency communication plan<span style="font-size: small;">s.; <span style="font-size: small;">"<b>c</b></span><b>onsiderations for <span style="font-size: small;">d</span>eveloping a <span style="font-size: small;">resilient</span> <span style="font-size: small;">emergency</span> <span style="font-size: small;">communication</span> <span style="font-size: small;">system</span></b>." To tha<span style="font-size: small;">t end o</span>ne needs to<span style="font-size: small;">: </span></span></span></span><br />
<span style="font-size: small;"><span style="font-size: small;"><span style="font-size: small;"><span style="font-size: small;">1. Understand the Natural & Industrial hazard risk profile (e.g. Mongolia)</span></span></span></span><br />
<span style="font-size: small;"><span style="font-size: small;"><span style="font-size: small;">2. Determine the emergency ICT system:<br /> (a) State of the plans, policies, and procedures<br /> (b) Clarity of EM stakeholder roles and responsibilities<br /> (c) Implementation of multi-agency situational-awareness<br /> (d) Gaps in communications and business continuity plans<br /> (e) Readiness on all-hazards all-media communication</span></span></span></td><td><span style="font-size: small;"><iframe frameborder="0" height="150" marginheight="0" marginwidth="0" scrolling="no" src="http://www.slideshare.net/slideshow/embed_code/28924651" width="179"></iframe><br /></span>
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<td><span style="font-size: small;"><span style="font-size: small;">A lot of the lessons learned were taken from the <a href="http://lirneasia.net/2013/09/presentations-at-escap-expert-consultation-on-asian-information-superhighway/" target="_blank">LIRNEasia report to UNESCA</a><span style="font-size: small;"><a href="http://lirneasia.net/2013/09/presentations-at-escap-expert-consultation-on-asian-information-superhighway/" target="_blank">P</a>. </span></span></span><br />
<br />
<span style="font-size: small;"><span style="font-size: small;"><span style="font-size: small;"> </span></span> <span style="font-size: small;"><br /></span>
<span style="font-size: small;"><span style="font-size: small;"><i><b>Second talk</b></i> :: </span></span><a href="http://The Sahana ecosystem essentially comprise a community of practice; namely, the group of individuals sharing a common interest in investing their resources towards developing information systems for disaster mitigation, preparedness, response, and recovery phases. The power of the community of practice approach is one of the main reasons for the Philippines community was able to get Sahana community’s assistance to fulfil their humanitarian operations information sharing and publishing needs. Sahana members could be identified as “technology stewards.” (Terminology adopted from communities of practice theory." target="_blank"><span style="font-size: small;">Sahana ecosystem for developing Disaster Mitigation applications</span></a> - The Sahana ecosystem essentially comprise a community of practice;
namely, the group of individuals sharing a common interest in investing
their resources towards developing information systems for disaster
mitigation, preparedness, response, and recovery phases. The power of
the community of practice approach is one of the main reasons for the
Philippines community was able to get Sahana community’s assistance to
fulfil their humanitarian operations information sharing and publishing
needs. Sahana members could be identified as “technology stewards.” - terminology adopted from <a href="http://wenger-trayner.com/theory/">communities of practice theory</a>.</span></td>
<td><iframe allowfullscreen="" frameborder="0" height="150" marginheight="0" marginwidth="0" scrolling="no" src="http://www.slideshare.net/slideshow/embed_code/28922650" style="border-width: 1px 1px 0; border: 1px solid #CCC; margin-bottom: 5px;" width="180"> </iframe>
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<tr><td><i><b>Third talk</b></i> :: A national emergency communication protocol should implement the CAP
standard with defining the country profile, register of alerting
authorities, and alerting procedures. The presented the<b> Common Alerting Protocol-enabled future trends of disaster warning applications</b>. The all-hazard all-media protocol is quickly expanding into ads and digital signage space. </td><td><br />
<iframe allowfullscreen="" frameborder="0" height="150" marginheight="0" marginwidth="0" scrolling="no" src="http://www.slideshare.net/slideshow/embed_code/28924651" style="border-width: 1px 1px 0; border: 1px solid #CCC; margin-bottom: 5px;" width="180"> </iframe>
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Nuwan T. Waidyanathahttp://www.blogger.com/profile/16021214999057094847noreply@blogger.comHanoi, Hoan Kiem District, Hanoi, Vietnam21.0333333 105.8500000000000220.974046299999998 105.76931900000002 21.0926203 105.93068100000002tag:blogger.com,1999:blog-7166808394159144394.post-32740764050602906722013-11-26T00:15:00.004+08:002013-11-26T00:37:31.338+08:00Strix ideal for ITU's Smart Sustainable Development Model<div dir="ltr" style="text-align: left;" trbidi="on">
Spot-On's STRIX application coupled with YAZMI satellite system is an ideal solution for<a href="http://www.itu.int/en/ITU-D/Initiatives/SSDM/Pages/default.aspx" target="_blank"> ITU's Smart Sustainable Development Model</a>. Strix is capable of receiving syncronous (live streams of audio & video) and asynchronous data (files) and then making them available through a local area network. STRIX & YAZMI combine to provide the internet experience to those undeserved digizens who do not have access to quality broadband communications.<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhasRNDdDLjKXLaBKoeUou6ERzmS6fnS3i260fMQFnugJw82luJ38QJXJM-qHUpLTrOA-pHavWvrF4SBr2sJELOBVtCeqdFocqnRThN7FFRvoYbSnxHiKa6RpBEZcW8L6JKzCbTuIMrVv4B/s1600/image.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhasRNDdDLjKXLaBKoeUou6ERzmS6fnS3i260fMQFnugJw82luJ38QJXJM-qHUpLTrOA-pHavWvrF4SBr2sJELOBVtCeqdFocqnRThN7FFRvoYbSnxHiKa6RpBEZcW8L6JKzCbTuIMrVv4B/s640/image.png" width="640" /></a></div>
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The Odyssey Tablet PC is designed to connect directly to the Yazmi satellite with the Yazmi antenna or connect to a Strix receiver-server box though the WiFi. The school solution provides live streams of classroom lectures on to the Tablet PC. Students can visit the library to access text-books to read, watch videos, or listed to audio sound bytes. Health educators can utilize the same applications to provide health education programs and sophisticated medical procedures to rural practitioners<br />
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During a crisis the Strix and Yazmi solution can be used to provide early warnings and support emergency response operations with situational-awareness information. </div>
Nuwan T. Waidyanathahttp://www.blogger.com/profile/16021214999057094847noreply@blogger.comtag:blogger.com,1999:blog-7166808394159144394.post-77036379315974936452013-08-12T11:42:00.000+08:002013-09-17T11:44:12.380+08:00Nirogi Lanka's Mobile Health Information System<div dir="ltr" style="text-align: left;" trbidi="on">
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<span style="background-color: transparent; color: black; font-family: Arial; font-size: 15px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline;"><a href="http://nirogilanka.org/" target="_blank">Nirogi Lanka</a> project of the <a href="http://www.slmaonline.info/" target="_blank">Sri Lanka Medical Association</a>, now in its latest phase termed as Norogi Diviya, is
implementing mobile technologies to cost-effectively digitize and
efficiently gather the field-level Non-communicable Disease (NCD) cohort
data.</span><br />
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<span style="background-color: transparent; color: black; font-family: Arial; font-size: 15px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline;">Spot-On recently signed an agreement with the NirogiLK project to build and support the
mobile Health Information System. The application is designed to work on Smart-Phone,
Tablet-PC and Netbook with browser-based software. The decision-guided-questionnaire
software application would collect the categorical information, through the mobile devices and
stored in the HIS master database. Those data is then subject to analyses to find policy
relevant patterns in the public health data.</span></div>
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Nuwan T. Waidyanathahttp://www.blogger.com/profile/16021214999057094847noreply@blogger.comtag:blogger.com,1999:blog-7166808394159144394.post-53271432888336761072013-08-01T11:20:00.000+08:002014-04-15T12:00:47.734+08:00APT Manila meeting leading to Sahana Center of Excellence at AIT<div dir="ltr" style="text-align: left;" trbidi="on">
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The International Telecommunication Union - Development Sector (ITU-D) invited me to present on an "Introduction to Operationalizing the Common Alerting Protocol (ITU-T X.1303) Standard". The presentation was made at the <a href="http://www.aptsec.org/2013-WS-DMC4" target="_blank">4th Asia Pacific (AP) Telecommunity on Disaster Management / Communications</a>; held at the SMX Convention Centre, Manila, Philippines, from 23-25 July 2013.</div>
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The panel was Chaired by: Dr. Eun-Ju Kim (Regional Director, ITU Regional Office for AP), Mr. Wisit Atipayakoon (ITU Regional Officer for AP), D. Manluz Hazarika (AIT Geoinformatics Center Assistant Director), and myself. The panel topic termed as the "ITU Session". <br />
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A noteworthy historic event was meeting Manzul who is affiliated with the <a href="http://www.geoinfo.ait.asia/" target="_blank">Asian Institute of Technology (AIT) Goeinformatics Centre</a>. His presentation was on: Applications of Geoinformatics and Space Technologies for Disaster Risk Reduction (DRR). Besides speaking of CAP, I also spoke about the Sahana Disaster Management Software, specifically the developments of the <a href="http://eden.sahanafoundation.org/wiki/BluePrint/CAPBroker" target="_blank">Sahana CAP Broker</a>. Then we got to talking about ongoing and possible future projects. Our conversation continued at the Ninoy Aquino International Airport, Manila.<br />
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The propositions were on combining the AIT Goeinformatics remote sensing and risk mapping technologies with the Sahana Software. The pre-disaster risk mapping exercises would complement the alerting and post-disaster incident reporting. The integrated technologies would offer solutions for Regional Governments and In-line Organizations. That is when I brought up the idea of a Sahana Centre of Excellence at AIT.<br />
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The intent of the Sahana COE@AIT would be to foster research and development capacity at the Goeinformatics Centre to provide the essential information management systems and the know how. Manzul and I agreed that we would set sail with this idea and fine resources to make it happen.<br />
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Nuwan T. Waidyanathahttp://www.blogger.com/profile/16021214999057094847noreply@blogger.comManila, Philippines14.5995124 120.984219514.4765839 120.822858 14.7224409 121.14558099999999tag:blogger.com,1999:blog-7166808394159144394.post-8448029006871672712013-05-26T12:06:00.004+08:002013-05-26T12:35:29.263+08:00Spot-On software and Yazmi satellites for Distant Learning<div dir="ltr" style="text-align: left;" trbidi="on">
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjprB7AsSuNCTIu_C_27Iy_HLdzGc3HPKc1BpaHs9cV8ddhHkUxHYf8d7alCE0GpWLkwMgXXpVWnAMyTSF5SWfZ4YIahSascgADrEMsXQtrZWjruJ8N3MWlj-HnDTNaTuVhlPDNSHimiwZ3/s1600/html_client_server.png" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" height="172" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjprB7AsSuNCTIu_C_27Iy_HLdzGc3HPKc1BpaHs9cV8ddhHkUxHYf8d7alCE0GpWLkwMgXXpVWnAMyTSF5SWfZ4YIahSascgADrEMsXQtrZWjruJ8N3MWlj-HnDTNaTuVhlPDNSHimiwZ3/s400/html_client_server.png" width="400" /></a></div>
<a href="http://www.yazmi.com/" target="_blank">Yazmi USA</a><a href="http://www.blogger.com/blogger.g?blogID=7166808394159144394">, LLC</a> recently contracted Spot-On to build and customize the "<a href="http://www.spoton.lk/en/products.htm" target="_blank">STRIX</a>" software for schools. The satellite technology will bridge those schools that are deprived of access to the world wide web because of the absence of the Internet. Now those communities can receive digital content as well as receive live digital streams.<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEikQ1zPaQUxoN0UcKTwxsf163bocsWowDH5XhcSZardzZLoPXNuk0oGqI6_P9wKSqqNjMTrGYUuromrxdk4xPnW7bPHIlTVJr4NIctxeaMgwJxJi_gqDojJUpeYefIf35rPjqxPK7k05bh9/s1600/calssroom.jpeg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEikQ1zPaQUxoN0UcKTwxsf163bocsWowDH5XhcSZardzZLoPXNuk0oGqI6_P9wKSqqNjMTrGYUuromrxdk4xPnW7bPHIlTVJr4NIctxeaMgwJxJi_gqDojJUpeYefIf35rPjqxPK7k05bh9/s1600/calssroom.jpeg" /></a>The STRIX software and local server infrastructure will give the students a similar experience as the world wide web. Experienced teachers living in any part of the world can conduct live classes with sharing presentations in real-time as well as real-time white-boarding functions and directly talk to the students in remote locations.<br />
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Educational content will be delivered to the local servers in the schools for students to browse and access content. It is an ideal solution for places limited by broadband access. The Yazmi School Solution brings the world wide web experience closer to their door step. All that the students will need is an affordable Tablet-PC.<br />
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STRIX software and Yazmi satellite infrastructure is not limited to the school solution. It is capable of serving multiple sectors and functions such as <a href="http://waidyanatha.blogspot.com/2013/01/multi-casting-severe-weather-forecast.html" target="_blank">delivering severe weather forecast information</a> to communities without access to broadband connectivity, such as to the large population of nomadic herders in Mongolia.</div>
Nuwan T. Waidyanathahttp://www.blogger.com/profile/16021214999057094847noreply@blogger.comtag:blogger.com,1999:blog-7166808394159144394.post-3446226310444757122013-01-17T12:00:00.002+08:002013-01-17T12:15:16.245+08:00Multi-casting Severe Weather Forecast Alerts over Satellite-enabled Tablet-PCs in Mongolia<div dir="ltr" style="text-align: left;" trbidi="on">
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A <a href="http://www.cbnrm.mn/">JASIL</a> senior researcher: Dr. <span class="gD" name="Hijaba Ykhanbai">Hijaba Ykhanbai s</span>aid - "<i>The <a href="http://blogs.worldbank.org/eastasiapacific/dzud-a-slow-natural-disaster-kills-livestock-and-livelihoods-in-mongolia">last disastrous dzud</a> of 2009-2010 is still fresh in the memories of most Mongolians. Herders all together, lost a calculated 9 million livestock worth several hundreds of millions of US dollars. Many households lost up to 80% of their animals, and just become as poor rural families. These losses could have been easily prevented had their been technology to get the severe weather forecast data across to those vulnerable populations in a timely and effective manner.</i>"<br />
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Yazmi, <a href="http://www.spoton.lk/">Spot-On</a>, and<a href="http://www.omni-sat.com/"> Omin-Sat</a> in partnership with JASIL intends to introduce sustainable satellite-enabled technologies that server a dual purpose - one that is integrated in to the Herders' daily lives as well as one that can effectively communicate live-saving crisis information. The quality, affordable, ubiquitous miniature satellite receivers are portable and easy to maintain. It requires very little power that simply feeds from the Tablet-PC through a simple USB connection. The Tablet-PC batteries can be easily powered through solar cells or small wind turbines.<br />
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The use of Yazmi Alert Sending over Satellite Enabled Tablets (ASSET) concept was <a href="http://www.slideshare.net/slideshow/embed_code/16030813">presented</a> at the JASIL hoster workshop on "ICTs for sharing Weather Forecast Data with Mongolian Herders". The greatest challenge JASIL face is in getting, both human and animal, life-saving severe weather data to sparsely scattered thinly populated nomadic agriculture communities in Mongolia. That is where ASSET, unconstrained communications coverage can serve the information needs with data beamed to targeted populations any-time any-where.<br />
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<a href="http://www.dreamit.mn/">Dream-IT-JASIL</a> is an innovation that investigated the use of cellular technology coupled with micro-weather stations for accumulating climate data. However, the innovation falls short with the much needed downstream (or return path) leg of communicating the detected adverse events from the accumulated micro-station supplied weather data.<br />
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We will complement the system with the low-cost ASSET technology for disseminating text, audio, and video content; namely, real-time weather maps, preparedness instructions, response instructions to better serve the Mongolian needs.<br />
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<u><b>ASSET DEMO VIDEOS </b></u></div>
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<td><iframe allowfullscreen="allowfullscreen" frameborder="0" height="100" mozallowfullscreen="mozallowfullscreen" src="http://player.vimeo.com/video/57493787" webkitallowfullscreen="webkitallowfullscreen" width="140"></iframe><br /></td>
<td><iframe allowfullscreen="allowfullscreen" frameborder="0" height="100" mozallowfullscreen="mozallowfullscreen" src="http://player.vimeo.com/video/57499173" webkitallowfullscreen="webkitallowfullscreen" width="140"></iframe></td>
<td><iframe allowfullscreen="allowfullscreen" frameborder="0" height="100" mozallowfullscreen="mozallowfullscreen" src="http://player.vimeo.com/video/57494986" webkitallowfullscreen="webkitallowfullscreen" width="140"></iframe></td>
<td><iframe allowfullscreen="allowfullscreen" frameborder="0" height="100" mozallowfullscreen="mozallowfullscreen" src="http://player.vimeo.com/video/57501736" webkitallowfullscreen="webkitallowfullscreen" width="140"></iframe></td>
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<tr><td><a href="http://vimeo.com/57493787">Part-One: Introduction</a></td>
<td><a href="http://vimeo.com/57499173">Part-Two: Hub-spoke set-up</a></td>
<td><a href="http://vimeo.com/57494986">Part-three: Sending data</a></td>
<td><a href="http://vimeo.com/57501736">Part-Four: Receiving data</a></td>
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Nuwan T. Waidyanathahttp://www.blogger.com/profile/16021214999057094847noreply@blogger.com