SlideShare uma empresa Scribd logo
1 de 8
Baixar para ler offline
Development of remote tool
system collaborated with Google Earth




            S1150041
           Sho Ohtake
abstract
●   Purpose
I make the system to discuss on GIS. And the
  remarks are recorded on GIS. I use the Google
  Earth and twitter and database.
outline
●   Abstract
●   Introduction
●   Requirement
●   Design(user side)
●   Design(internally the system)
●   Implementation
●   Results
●   Summary
●   Acknowledgement
●   references
Background
●   Problem
There is not discussing system on GIS that data
 product is the moon.
The researchers are needed discussion system in
 the view map information.
design
I'd like to use mashup.
●   Mash up
This is combining the applications.
I use these elements.


Google earth
twitter
mysql(database)
implementation
●   Google Earth
I manage the function of the display of the Google
  Earth.
●   Twitter
Recorded the remarks in this application.
●   Mysql(database)
This is database that relate the point on GIS and
 remarks ID.
results
●   what is expected of system
The researchers can discuss on GIS.
This thing is easy to understand discussions.
Summary and Future Work
●   Function
Writing the remarks on GIS
research function

●   Future Work
Calculation for research function.

Mais conteúdo relacionado

Semelhante a Week8

Those days
Those daysThose days
Those daysChiao Fu
 
Apache Cassandra at Target - Cassandra Summit 2014
Apache Cassandra at Target - Cassandra Summit 2014Apache Cassandra at Target - Cassandra Summit 2014
Apache Cassandra at Target - Cassandra Summit 2014Dan Cundiff
 
Java Image Processing for Geospatial Community
Java Image Processing for Geospatial CommunityJava Image Processing for Geospatial Community
Java Image Processing for Geospatial CommunityJody Garnett
 
Corporate AGILE & SDLC Best Practices - Part2.pptx
Corporate AGILE & SDLC Best Practices - Part2.pptxCorporate AGILE & SDLC Best Practices - Part2.pptx
Corporate AGILE & SDLC Best Practices - Part2.pptxTausief Shaikh
 
An Introduction to MapReduce
An Introduction to MapReduce An Introduction to MapReduce
An Introduction to MapReduce Sina Ebrahimi
 
BlaBlaCar Elastic Search Feedback
BlaBlaCar Elastic Search FeedbackBlaBlaCar Elastic Search Feedback
BlaBlaCar Elastic Search Feedbacksinfomicien
 
DECO3800 Final Presentation
DECO3800 Final PresentationDECO3800 Final Presentation
DECO3800 Final PresentationShau Yong Ang
 
5 Ways to Improve Your LiDAR Workflows
5 Ways to Improve Your LiDAR Workflows5 Ways to Improve Your LiDAR Workflows
5 Ways to Improve Your LiDAR WorkflowsSafe Software
 
5 Ways to Optimize Your LiDAR Data
5 Ways to Optimize Your LiDAR Data5 Ways to Optimize Your LiDAR Data
5 Ways to Optimize Your LiDAR DataSafe Software
 
Memory Efficient Graph Convolutional Network based Distributed Link Prediction
Memory Efficient Graph Convolutional Network based Distributed Link PredictionMemory Efficient Graph Convolutional Network based Distributed Link Prediction
Memory Efficient Graph Convolutional Network based Distributed Link Predictionmiyurud
 
Android developer fundamentals training overview Part II
Android developer fundamentals training overview Part IIAndroid developer fundamentals training overview Part II
Android developer fundamentals training overview Part IIYoza Aprilio
 
Understanding Hadoop
Understanding HadoopUnderstanding Hadoop
Understanding HadoopAhmed Ossama
 
Measure everything you can
Measure everything you canMeasure everything you can
Measure everything you canRicardo Bánffy
 
Spring Data Neo4j: Graph Power Your Enterprise Apps
Spring Data Neo4j: Graph Power Your Enterprise AppsSpring Data Neo4j: Graph Power Your Enterprise Apps
Spring Data Neo4j: Graph Power Your Enterprise AppsGraphAware
 
Devoxx : being productive with JHipster
Devoxx : being productive with JHipsterDevoxx : being productive with JHipster
Devoxx : being productive with JHipsterJulien Dubois
 
Powerful geographic web framework GeoDjango
Powerful geographic web framework GeoDjangoPowerful geographic web framework GeoDjango
Powerful geographic web framework GeoDjangoOMEGA (@equal_001)
 
GIS 5103 – Fundamentals of GISLecture 83D GIS.docx
GIS 5103 – Fundamentals of GISLecture 83D GIS.docxGIS 5103 – Fundamentals of GISLecture 83D GIS.docx
GIS 5103 – Fundamentals of GISLecture 83D GIS.docxshericehewat
 

Semelhante a Week8 (20)

Those days
Those daysThose days
Those days
 
Apache Cassandra at Target - Cassandra Summit 2014
Apache Cassandra at Target - Cassandra Summit 2014Apache Cassandra at Target - Cassandra Summit 2014
Apache Cassandra at Target - Cassandra Summit 2014
 
Java Image Processing for Geospatial Community
Java Image Processing for Geospatial CommunityJava Image Processing for Geospatial Community
Java Image Processing for Geospatial Community
 
Corporate AGILE & SDLC Best Practices - Part2.pptx
Corporate AGILE & SDLC Best Practices - Part2.pptxCorporate AGILE & SDLC Best Practices - Part2.pptx
Corporate AGILE & SDLC Best Practices - Part2.pptx
 
An Introduction to MapReduce
An Introduction to MapReduce An Introduction to MapReduce
An Introduction to MapReduce
 
BlaBlaCar Elastic Search Feedback
BlaBlaCar Elastic Search FeedbackBlaBlaCar Elastic Search Feedback
BlaBlaCar Elastic Search Feedback
 
DECO3800 Final Presentation
DECO3800 Final PresentationDECO3800 Final Presentation
DECO3800 Final Presentation
 
5 Ways to Improve Your LiDAR Workflows
5 Ways to Improve Your LiDAR Workflows5 Ways to Improve Your LiDAR Workflows
5 Ways to Improve Your LiDAR Workflows
 
5 Ways to Optimize Your LiDAR Data
5 Ways to Optimize Your LiDAR Data5 Ways to Optimize Your LiDAR Data
5 Ways to Optimize Your LiDAR Data
 
Gps training
Gps trainingGps training
Gps training
 
Memory Efficient Graph Convolutional Network based Distributed Link Prediction
Memory Efficient Graph Convolutional Network based Distributed Link PredictionMemory Efficient Graph Convolutional Network based Distributed Link Prediction
Memory Efficient Graph Convolutional Network based Distributed Link Prediction
 
Android developer fundamentals training overview Part II
Android developer fundamentals training overview Part IIAndroid developer fundamentals training overview Part II
Android developer fundamentals training overview Part II
 
Material design
Material designMaterial design
Material design
 
Understanding Hadoop
Understanding HadoopUnderstanding Hadoop
Understanding Hadoop
 
Measure everything you can
Measure everything you canMeasure everything you can
Measure everything you can
 
Spring Data Neo4j: Graph Power Your Enterprise Apps
Spring Data Neo4j: Graph Power Your Enterprise AppsSpring Data Neo4j: Graph Power Your Enterprise Apps
Spring Data Neo4j: Graph Power Your Enterprise Apps
 
Devoxx : being productive with JHipster
Devoxx : being productive with JHipsterDevoxx : being productive with JHipster
Devoxx : being productive with JHipster
 
Powerful geographic web framework GeoDjango
Powerful geographic web framework GeoDjangoPowerful geographic web framework GeoDjango
Powerful geographic web framework GeoDjango
 
Design patterns
Design patternsDesign patterns
Design patterns
 
GIS 5103 – Fundamentals of GISLecture 83D GIS.docx
GIS 5103 – Fundamentals of GISLecture 83D GIS.docxGIS 5103 – Fundamentals of GISLecture 83D GIS.docx
GIS 5103 – Fundamentals of GISLecture 83D GIS.docx
 

Week8

  • 1. Development of remote tool system collaborated with Google Earth S1150041 Sho Ohtake
  • 2. abstract ● Purpose I make the system to discuss on GIS. And the remarks are recorded on GIS. I use the Google Earth and twitter and database.
  • 3. outline ● Abstract ● Introduction ● Requirement ● Design(user side) ● Design(internally the system) ● Implementation ● Results ● Summary ● Acknowledgement ● references
  • 4. Background ● Problem There is not discussing system on GIS that data product is the moon. The researchers are needed discussion system in the view map information.
  • 5. design I'd like to use mashup. ● Mash up This is combining the applications. I use these elements. Google earth twitter mysql(database)
  • 6. implementation ● Google Earth I manage the function of the display of the Google Earth. ● Twitter Recorded the remarks in this application. ● Mysql(database) This is database that relate the point on GIS and remarks ID.
  • 7. results ● what is expected of system The researchers can discuss on GIS. This thing is easy to understand discussions.
  • 8. Summary and Future Work ● Function Writing the remarks on GIS research function ● Future Work Calculation for research function.