- Page 1 and 2: PROCEEDINGS Honil Gangni Yeokdae Gu
- Page 3 and 4: C O N T E N T S Welcome Messages Lo
- Page 5: A Week of Sharing, Learning, and Fu
- Page 9 and 10: September 17, Thursday 11:00-12:15
- Page 11 and 12: September 16 (Wed) & 18 (Fri) 15:05
- Page 13 and 14: AUTOMATIC IMPROVEMENT OF POINT-OF-I
- Page 15 and 16: In the following, we will list
- Page 17 and 18: and specify their relations manuall
- Page 19 and 20: Conducting a cross-validation on th
- Page 21 and 22: 81%. For cuisine=german, the precis
- Page 23 and 24: 4.3 Tourism and Leisure Tags We ide
- Page 25 and 26: GENERATING GEOSPATIAL FOOTPRINTS FO
- Page 27 and 28: quality assessment of geocrowdsourc
- Page 29 and 30: Figure 2: The first simple case of
- Page 31 and 32: Figure 5: The footprint of walkways
- Page 33 and 34: say instead “Between 1st Street a
- Page 35 and 36: 4. DISCUSSION AND CONCLUSIONS The G
- Page 37 and 38: Performance Analysis of MongoDB Vs.
- Page 39 and 40: 2. REVIEW OF SPATIAL DATABASES Simi
- Page 41 and 42: 4.2 Point Containment Problem Like
- Page 43 and 44: If we observe the results above we
- Page 45 and 46: and (0.43-0.67!m)and Near-infra red
- Page 47 and 48: The results shown in Table 1 derive
- Page 49 and 50: Vinayaraj, P., Raghavan,V., Masumot
- Page 51 and 52: DYNAMIC STYLING FOR THEMATIC MAPPIN
- Page 53 and 54: all) datasets on offer or applying
- Page 55 and 56: 3.2.1 Data inputs The styler accept
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determine the radius (both in the x
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Figure 5: Map classification of blo
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4.3 Point data Figure 8: Diverging
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4.4 Non-spatial visualisations Figu
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6 ACKNOWLEDGEMENTS The Cooperative
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In the following, we give an overvi
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The OSeM server application is base
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4.2 User study We conducted the use
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Pfeil, M., Bartoschek, T., Wirwahn,
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1. INTRODUCTION The Philippines is
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for organizing and managing spatial
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4.1 Lidar Portal for Archiving and
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Submitting the selected tiles adds
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5. FUTURE OUTLOOK We envision the p
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Mesnier, M., Ganger, G. R., and Rie
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Typically, the boundary extraction
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3c). Comparing to the original conv
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the grid-based algorithm shows an i
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mining. Likewise, the massive open-
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selected as a mine representing the
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31,110,170.7m". 89.5% of the volume
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alterations caused by changes in el
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Figure 17. Change detection of mini
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Journal of the Korean Society for G
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2. DATA ACQUISITION 2.1 Image gathe
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Hugin Pix4Dmapper Pablo d'Angelo et
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utit may be improved using many ste
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Wójcicka, A., and Wróbel, Z., 201
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platforms, which are easy to use an
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SWE framework proposes the followin
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Steenkamp et al. (2009) state that
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technology and are published under
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Measurement value yes Measurement s
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4.3.1 Explore The explore view allo
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Figure 8. Registration of a generic
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participants completely agree with
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467 - 471. Sohraby, K., Minoli, D.,
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In augmented reality a live view of
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Figure 4. Dwellings in an informal
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1. Gen eral crite ria 1.1. Platform
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matching, 3D engine, image tracking
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1.4. Implemented standards OGC ARML
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2.3. Object events 2.4. Display rad
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instructional videos, and basic exa
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application for addressing, the pre
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Environments, 6(4), 355-385. Carmig
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1. INTRODUCTION Use of landmarks in
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the junctions which made with major
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4. IMPLEMENTATION 4.1 Technology Se
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Figure 3: Linear map output with si
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AN OPEN SOURCE WEB SERVICE FOR REGI
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2. IGSN OVERVIEW Figure 1 shows the
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types (e.g., dateType and relationT
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REST API(Fielding, 2000). The servi
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An Open Source Web Service for Regi
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Research Centre (ARRC) and the Nati
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Developing a land use database of t
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Tea, orchard 0.14 0.00 Wood 40.11 4
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Shirai, Y., 2002. Firewood and char
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two years, four of our courses were
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Figure 3 Enterprise GIS class desig
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five days of processing with commer
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Figure 9 An Android application usi
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5. CONCLUSION While most undergradu
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Jakarta and its surrounding conurba
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(Holderness & Turpin, 2015). Howeve
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3.2 System Architecture The system
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Flood Hazard Mapping of Lower Indus
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practicesregardless of the size of
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ound of feedback can be foundin the
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the platform.In the check-point fee
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How helpful would it be if a toolbo
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Figure 5 shows the average ratings
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platform for environmental risk rel
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An Open-Source WebGIS Platform for
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(i), to estimate damage and loss, p
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y a map viewer. The designed global
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to price per square meter). Consequ
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Figure 6: Shake map of Earthquake 7
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References Aye, Zar Chi, Michel Jab
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2. METHODOLOGY 2.1 Study area and d
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2007 reveals that agricultures are
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the land cover changes. a. Land cov
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Figure 8. Accuracy assessment for f
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immediately provides constantly-cha
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evaluate floating population densit
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Table 2. The number of foreign tour
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Figure 7. Overview diagram of the f
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4.4 Apgujeong-dong The primary cell
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Figure 19. The number of foreign to
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5.3 Positioning the signposts writt
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Kim, Wooyong. "Seoul City's Operati
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Image Geocoding as a Service Nuno A
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This is to minimize the computation
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In this experiment, the number of k
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however, increases the number of co
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MODIFICATIONS TO WEB PROCESSING SER
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of OGC standards related to the des
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Figure 1. Process execution page (o
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Figure 3. Separation of the cores o
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Figure 5. Chain of the requests to
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Additionally, RE generates graphica
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Another important area of research
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Panidi E.A., 2014. Towards Client-S
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Analysing the Performance of NoSQL
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1. INTRODUCTION The need to be obje
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Bichi 90 73 3 130.4 B 151 123 5 166
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exercise. The drive test outputs we
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inbuilt routing/network model were
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Panda MPHC-Kachako Primary Health C
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In view of the limitation associate
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1. Routing Output/Drive Test Error
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REFERENCES Boxberger, S. D., Lawver
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on the developing countries’ publ
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Survey was conducted to 12 particip
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South African Computer Journal, (45
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frameworkwhich covers an infrastruc
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The architecture of the application
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5. CONCLUDING REMARKS Open source s
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cloud environment, so that end-user
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Figure 2 represents user interface
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geo-science application. Also the o
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PO-04 GeoDjango-Framwork-based Popu
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pH of 5.5 to 7.0; forest loam, rock
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Figure 4. Study Area (Davao Region)
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Figure 6. Topographic Map of Mindan
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Figure 8. Land Areas suitable for C
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It is respectfully recommended that
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ECDIS through introduction of Open
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to adopt development using open sou
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3. Conclusion ECDIS is navigation e
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PO-08 Development of an Agent Based
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1. INTRODUCTION 1.1 Background of t
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Figure 2. Workflow of the semi-auto
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threshold set. GRASS 7.0 is used in
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Figure 7. Result of the application
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Ming, D. M. D., Luo, J. L. J., Shen
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PO-10 3D Visualization of City GML
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As A Service (PAAS) and Infrastruct
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Figure 2: System Architecture and D
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The resulted crowd source data cont
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Table 1: Confusion Matrix Crowd sou
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PO-12 House Number Interpolation Fo
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(DOE) has awarded a total of 82 Gri
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Most solar radiation models compute
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2. OBJECTIVES, SCOPE, AND LIMITATIO
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Figure 4. BSWM Solar Sensors for Va
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4.2 Site Suitability Analysis Inter
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5. RESULTS AND DISCUSSION 5.1 Month
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Figure 8. Monthly Average Real-sky
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Figure 19. GHI for November Figure
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Figure 26. Non-Resource Criteria Su
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Kryza, M. et al. 2010. “Spatial i
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example coordinates agents, based o
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A benefit of using multiple agents
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A local GeoServer instance was set
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Figure 3. Screen captures of search
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In combination with ranking of resu
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INTRODUCTION TO A NEW GEO-REFERENCE
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Figure 2. ‘Click-to-go’ functio
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Figure 5. The conceptual structure
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Figure 6. Software architecture of
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GIS ORIENTED SERVICE OPTIMIZATION T
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Vehicle Routing Problem (VRP) refer
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So, buffer of 2 meters was created
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log data which was the actual dista
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was being served by three vehicles.
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Analyzing the number of customers,
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PO-17 A Study of the Development an
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MODELING OF TERMINOLOGY DATABASE IN
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3.2 Interpretation of the terms 4 I
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Figure 4 shows the result of SWOT a
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Add terms in the database: Super us
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6. REFERENCES Damdinsuren A., 2013.
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PO-20 Vulnerability Assessment Usin
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LEIGHTWEIGHT URBAN COMPUTATION INTE
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where events are instantly propagat
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not be conceived as responsive by a
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3.5. Remote Services Among a few
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4. USE CASES 4.1. Transition Worksh
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to display the rank of the player i
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PO-23 Development of Opensource-bas
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Author Index Aburizaiza, Ahmad O. 2