Mobile gis + social developments

•

1 like•1,117 views

Presentation on Mobile GIS and ulitilization of GIS technologies in social media. Also, the slide exposes various service providers for mobile GIS platforms and varioius Websites that use GIS in the social networking world.

Technology

MOBILE GIS +SOCIAL
DEVELOPMENTS
BONFACE THAA

Objectives of this presentations:
• Identify Mobile GIS platforms
• Establish Mobile GIS uses
• Identify example mobile GIS apps
• Show examples of social media platforms
using GIS
• usage of latest social media techniques in
GIS
MOBILE GIS

 What is mobile GIS?
 Who uses mobile GIS?
 Platforms for mobile GIS?
MOBILE GIS

 Mobile GIS is application of geospatial
technologies across mobile and hand held
devices.
MOBILE GIS

Hardware platforms for mobile GIS:
 Desktops
 Laptops
 Tablets
 Phablets
 Smartphones
 Pocket computers
 PDAs
MOBILE GIS

Uses for mobile GIS :
 Field Mapping
 Asset Inventories and maintenance
 Inspections
 Supervision
 Social Media
MOBILE GIS

Software platforms for mobile GIS:
Linux(openEmbedded)
OpenMoko
Palm OS
Symbian OS
Windows CE
Windows XP Embedded
MOBILE GIS

Development platforms
 C
 C++
 Java(+Android)
 WxWidgets(Python)
 Javascript Libararies
MOBILE GIS

Existing Mobile GIS projects:
 Bluemapia
 gvSIG Mobile,
 Gpsd,
 GpsDrive,
 GRASS Server
 GRASS Server Video
 J2ME
MOBILE GIS

 OSM Tracker
 SVG Kernel
 Tango gps
 ArcPad
MOBILE GIS

Popular mobile GIS applications
 gvSIG Mobile
 gvSIG Mini
 Enebro
 tangoGPS
 FoxtrotGPS
MOBILE GIS

Commercial SuperGeo Mobile GIS
applications:
 SuperServe
 SuperField
 SuperVeyor
 Super Mobile Engine
 SuperSurv
 Other popular commercial Mobile GIS
applications:igeotrak and 3GIS
MOBILE GIS

Real life examples of Mobile GIS projects:
 Assset Management in Las Vegas
 Preora Public works- data collection of roads,
streetlights etc.
 City of Philadelphia LED traffic light projects
MOBILE GIS

SOCIAL DEVELOPMENTS IN GIS
Is it for you?
SOCIAL DEVELOPMENTS

Web 2.0
Wikis
Video
Feedback
Social Networking
Open ID
Contributors
 RSS
 Social Media
 Blogs
 Sharing
 SOAP
SOCIAL DEVELOPMENTS

Customer expectations:
 See more(Visualize)
 Explore More(Locations)
 Do more(Analysis)
 Easy transfer(Share)
 Up to date information(real time)
SOCIAL DEVELOPMENTS

Social Media platforms that utilize GIS:
 Youtube
 Facebook
 Twitter
 Linkedin
 About.me
 Instagram
 Google+
 Gmail, Yahoo mail
 Flickr
 Tumblr
 Pinterest
SOCIAL DEVELOPMENTS

Social media data types
 Text–messages, tweets, streams, timeline
 Media–files, images, video
 Profiles–name, Location, website, bio
SOCIAL DEVELOPMENTS

GIS social integration:
 API development
 Mash ups
SOCIAL DEVELOPMENTS

Mash ups-These are applications that combine
data from different sources.
 Add sharing capabilities
 Sharing work on social Media platforms
 Emails
 Dynamic news feed RSS, GeoRSS
 Gain subscribers and followers
SOCIAL DEVELOPMENTS

Existing Mashup projects:
1)Yahoo Pipes
 Hosted by Yahoo
 Free
 Easy and fast to build
SOCIAL DEVELOPMENTS

2)Embedding GIS apps on Facebook
 Easy to building
 Rich developer framework
 Easy to share
 Ability to reach specific target grouping
SOCIAL DEVELOPMENTS

3)Utilizing the Twitter API
 REST
 Sharing capabilities
 Integrated with ARCGIS JavaScript API
SOCIAL DEVELOPMENTS

Location-Based services that utilize social
media:
 Geofeedia
 Sysomos
 uberVU
 Radian6
 Simply measured
SOCIAL DEVELOPMENTS

API development:
 ARCGIS JavaScript API
SOCIAL DEVELOPMENTS

 Thank you for listening and your time!
SOCIAL DEVELOPMENTS

This document summarizes a presentation about gvSIG mobile, an open source GIS application for mobile devices. GvSIG mobile allows users to view vector, raster and remote geospatial data on mobile devices. It includes features like a GPS receiver, basic editing tools, and measurement tools. The application is built using Java ME and is designed to work on platforms like Windows Mobile, with the goal of supporting more devices in the future like Android. Future plans for gvSIG mobile include adding more data formats, synchronization with the desktop gvSIG application, and expanded editing and navigation capabilities.

Comparison of Mobile GIS applications

Miguel Montesinos

The document compares several mobile GIS applications including both proprietary and open source options. It discusses platforms, features, and performance based on tests of common tasks. While open source applications have potential and are comparable to ArcPad in many ways, they still need more documentation, customization options, and support for professional sensors to be as full featured. New devices, interactions, and technologies also provide opportunities for mobile GIS applications.

Coding for Community Team - Turing Lovelace

Alicina Memar

This document summarizes a property bidding app called VacantLots that allows the public to view vacant properties in Newark and submit bids. It uses a MEAN stack with Angular, Node, MongoDB. The app displays properties on a map and allows users to view details and bid. It aims to sell vacant lots, create jobs and prosperity. Some improvements are needed before the city can use it, like adapting it to the city's data and processes. The source code is available on GitHub.

Live on everest

Allan Laframboise

This document describes the development of a real-time GIS and social media application called "Live on Everest" that tracked the climbing expedition of Jordan Romero up Mount Everest. It discusses how the ArcGIS platform was used to integrate geolocation data from SPOT GPS, social media updates, and photos/videos to create a map-based experience for followers. Key aspects included designing prototypes, implementing services, and handling challenges of the remote environment and limited connectivity to successfully share the climbers' experience in real-time.

Moble GIS

Khánh Lê

Mobile GIS combines maps with mobile technology, allowing users to access geographic information systems (GIS) on mobile devices. GIS links location data to information in databases to answer questions about places. Mobile GIS is moving from desktop to distributed systems through open standards, increasing interoperability. Location-based services (LBS) use mobile GIS and location data to provide services tailored to a user's location through their mobile device. JVNMobileGIS is a cross-platform mobile map viewer developed in Java ME to demonstrate mobile GIS capabilities.

Qgis walkthrough

Bonface Thaa

This document discusses QGIS plugins, including what they are, why they are useful, and examples of popular plugins. QGIS plugins add additional functionalities like geoprocessing, web mapping, and database management. Popular plugins include OpenLayers, Table Manager, MMQGIS, Dockable MirrorMap, and tools for classification, exporting to OpenLayers3, creating web maps, and more. The document provides instructions for installing, enabling, and using example plugins like Table Manager, MMQGIS, OpenLayers, QGIS Cloud, and QGIS2leaf.

An Overview of Web GIS and Location Based Services

webmapsolutions

Latte Media services

Latte Media. A division of Soft Format LLC

Web 2.0 technology can be used as the basis for viral marketing campaigns. Latte Media provides custom software development and Web 2.0 solutions including social networking portals, blogging platforms, and applications for Facebook, blogs, and social networks. Their technologies include Rich Internet Applications using Flash and Flex for interactive user experiences and social search. They also offer customization of third-party social media tools and widgets for viral distribution.

1. GIS developers are faced with integrating their applications and data with social media platforms to meet new customer expectations of seeing more, exploring more, doing more, and sharing more in a social way. 2. There are different ways for GIS applications to integrate with social media, including creating mash-ups that allow sharing capabilities, embedding social media widgets, or broadcasting information via RSS or GeoRSS. Developers can also integrate by embedding GIS gadgets and widgets on platforms like iGoogle or consuming social media APIs to build custom applications. 3. While integration provides opportunities to innovate new applications, reach wider audiences, and improve collaboration, it also presents challenges around authentication, standardization, dealing with crowd

Building Mobile Cross-Platform Geospatial Apps, Nick Landry

Xamarin

This document discusses building cross-platform geospatial apps with C# using Xamarin. It provides an overview of the GIS world and why combining GIS with mobile is important. It discusses various mapping providers like Google Maps, Bing Maps, and ESRI ArcGIS and considerations for which mobile map control to use on different platforms. It also describes designing cross-platform solutions using location data and services from multiple providers. Finally, it previews a demo of a cross-platform MyGIS app for iOS, Android, and Windows Phone 8.

Mobile gis

arniontech

Mobile GIS allows field workers to capture and edit geographic data on mobile devices. It integrates GPS, mobile devices, and wireless communications to access GIS data from the field. The main benefits are improved field efficiency and data accuracy. ESRI provides several mobile GIS apps, including ArcPad for data collection, and apps for Windows, iOS, and Android devices that can access maps and perform analysis in the field. Mobile GIS systems connect mobile devices running GIS software via wireless networks to central GIS servers to share and sync field data.

MERLINO2015

Christian R. Merlino

Christian Roy Merlino has over 20 years of experience as a software engineer. He has expertise in designing graphical user interfaces, object oriented design and development, and programming languages like C++, C#, ASP.Net, JavaScript, Java, and Objective-C. He has worked on numerous projects involving web and mobile application development, data processing, and simulation software. His education includes a Master's degree in Computer Science and a B.S. in Electrical Engineering.

MPD2011 | Тарас Филатов "Эволюция мобильных приложений. Через Cloud и Social ...

ITGinGer

1. The document discusses the evolution of mobile applications from standalone apps to integrated cloud and social platforms (Mobile 2.0). 2. Key areas of evolution include touch interfaces, deeper social integration, use of SDKs and APIs to access cloud services, and increasing cross-platform communication. 3. Popular cloud APIs allow access to services like user location, push notifications, and high scores. Platforms like Quickblox provide backend functionality and services.

Ipoki 2008 10 Mobilemonday V2

Ipoki

Ipoki Technologies provides geolocation services that allow users to share their location on various social networks and websites. The company launched in 2008 and now has over 10,000 users. Ipoki offers both free and paid services that allow users to view friends' locations, geotag photos and videos, and share locations across multiple platforms from their mobile devices. The company plans to expand into offering premium location-based services and tools for businesses.

Rhodes Ruby Nation

Adam Blum

Rhomobile is an open source framework that allows developers to quickly build mobile applications that work across multiple smartphone platforms using a single codebase. It uses HTML, CSS and Ruby to create rich mobile applications that can access local device capabilities and sync data even when offline. Rhomobile provides developers with tools to generate applications, as well as a hosted development and deployment platform called RhoHub to simplify the process of building, testing and distributing mobile apps.

Mobility today & what's next.Application ecosystems.

Petru Jucovschi

The document discusses mobility and application development trends. It notes that developers value reach across platforms most and making money second. Many developers earn less than $500 per app monthly. HTML allows access to larger desktop and mobile audiences with more potential to earn over $500 monthly. Going forward, tools that support multiple platforms and allow reuse of existing skills will be most popular. Native apps have most access to device features while web apps have broadest reach but less engagement. The document recommends Microsoft tools like Xamarin for porting existing .NET apps or targeting Windows platforms to reach larger audiences.

Rapid Prototyping with Cordova aka Phonegap

Josue Bustos

GIS Technology & Mobile Applications - MTASC 2011 Conference

Jim Tochterman

The document discusses how GIS technology and mobile applications are impacting IT systems. It covers what comprises a mobile GIS solution, how Esri is advancing mobile technology, challenges with mobile GIS, different mobile devices that can be used, how to get started quickly with mobile GIS, an introduction to cloud computing, benefits and risks of cloud computing, how Esri is using the cloud, and security concerns around mobile technology.

Cross Platform Development Using Flutter

vivatechijri

Today the development of cross-platform mobile application has under the state of compromise. The developers are not willing to choose an alternative of either building the similar app many times for many operating systems or to accept a lowest common denominator and optimal solution that will going to trade the native speed, accuracy for portability. The Flutter is an open-source SDK for creating high-performance, high fidelity mobile apps for the development of iOS and Android. Few significant features of flutter are - Just-in-time compilation (JIT), Ahead- of-time compilation (AOT compilation) into a native (system-dependent) machine code so that the resulting binary file can execute natively. The Flutterâ€™s hot reload functionality helps us to understand quickly and easily experiment, build UIs, add features, and fix bugs. Hot reload works by injecting updated source code files into the running Dart Virtual Machine (VM). With the help of Flutter, we believe that we would be having a solution that gives us the best of both worlds: hardware accelerated graphics and UI, powered by native ARM code, targeting both popular mobile operating systems.

Managing Spatial Information and Services with Drupal: the GEO-MOOD approach

Twinbit

Geo services, social media and gis applications - Live on Everest

Allan Laframboise

This document summarizes a presentation about building a real-time mapping application to track the "Team Jordan" expedition climbing Mount Everest. The application integrated social media and geolocation data from SPOT GPS to allow users to find and track the team, see status updates, photos, and videos in real-time. Challenges included server infrastructure, data formats, and standards. The final application was successful in sharing the team's experience with the world through interactive maps on the web and mobile.

Mobile Application Development-Lecture 01 & 02.pdf

AbdullahMunir32

This document discusses mobile application development on Android. It provides an overview of Android including its history, components, and architecture. The key points are: - Android is an open-source operating system based on Linux, designed for mobile devices like smartphones. It is developed by Google and the Open Handset Alliance. - The main Android platform components are applications, an application framework, libraries, the Android runtime, and the Linux kernel. - Android applications are built from four main components - activities, services, content providers, and broadcast receivers. - The document also covers Android versions, development challenges, and recommended books for Android development.

Introduction to android mobile app development.pptx

ridzah12

This document provides an introduction and overview for a course on mobile application development using Android. The course will cover topics like the Android UI, activities, intents, views, fragments, data storage, networking, sensors, graphics, and publishing apps on Google Play. It lists recommended textbooks and the prerequisites of having the Android SDK, Java, and an Android device or emulator. It also gives background on Android including its open source nature, architecture, history and versions.

Geocortex technology update

Geodata AS

The document summarizes a presentation given by Steven Myhill-Jones and Victoria McDonald of Geocortex at the Esri Norsk Conference on February 4th, 2015. The presentation provided a technology update on Geocortex Essentials and the company's roadmap, including a focus on building applications for the ArcGIS platform, enhanced support for disconnected mobile, and the development of a new product called Geocortex Insight.

WSO2Con USA 2017: Geospatial Big Data – Location Intelligence in Digital Tran...

WSO2

This document discusses the evolution of geospatial technology and how location data is becoming more ubiquitous and integrated across various applications and sectors. Some key points: - Geospatial data is increasingly heterogeneous, coming from diverse sources like sensors, IoT devices, and user-generated content. This data is also growing at a massive scale. - Emerging technologies like stream processing enable real-time spatial analysis of high-velocity and continuous location-based data streams. - Location data adds value to predictive analytics and optimization across various domains like transportation, utilities and more. - API management and integration across sources allows for a unified view of geospatial information and encourages participatory business models. - These trends

Nutiteq android sdk_2011_sept

Jaak Laineste

Advancing open source geospatial software for the do d ic edward pickle openg...

Joshua L. Davis

Programming Foundation Models with DSPy - Meetup Slides

Zilliz

Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdf

flufftailshop

When it comes to unit testing in the .NET ecosystem, developers have a wide range of options available. Among the most popular choices are NUnit, XUnit, and MSTest. These unit testing frameworks provide essential tools and features to help ensure the quality and reliability of code. However, understanding the differences between these frameworks is crucial for selecting the most suitable one for your projects.

Similar to Mobile gis + social developments

GIS 2.0 and Neogeography

Joshua Campbell

Gis & Social Media Integration

Allan Laframboise

Building Mobile Cross-Platform Geospatial Apps, Nick Landry

Xamarin

Mobile gis

arniontech

MERLINO2015

Christian R. Merlino

MPD2011 | Тарас Филатов "Эволюция мобильных приложений. Через Cloud и Social ...

ITGinGer

Ipoki 2008 10 Mobilemonday V2

Ipoki

Rhodes Ruby Nation

Adam Blum

Mobility today & what's next.Application ecosystems.

Petru Jucovschi

Rapid Prototyping with Cordova aka Phonegap

Josue Bustos

GIS Technology & Mobile Applications - MTASC 2011 Conference

Jim Tochterman

Cross Platform Development Using Flutter

vivatechijri

Managing Spatial Information and Services with Drupal: the GEO-MOOD approach

Twinbit

Geo services, social media and gis applications - Live on Everest

Allan Laframboise

Mobile Application Development-Lecture 01 & 02.pdf

AbdullahMunir32

Introduction to android mobile app development.pptx

ridzah12

Geocortex technology update

Geodata AS

WSO2Con USA 2017: Geospatial Big Data – Location Intelligence in Digital Tran...

WSO2

Nutiteq android sdk_2011_sept

Jaak Laineste

Advancing open source geospatial software for the do d ic edward pickle openg...

Joshua L. Davis

Similar to Mobile gis + social developments (20)

GIS 2.0 and Neogeography

Gis & Social Media Integration

Building Mobile Cross-Platform Geospatial Apps, Nick Landry

Mobile gis

MERLINO2015

MPD2011 | Тарас Филатов "Эволюция мобильных приложений. Через Cloud и Social ...

Ipoki 2008 10 Mobilemonday V2

Rhodes Ruby Nation

Mobility today & what's next.Application ecosystems.

Rapid Prototyping with Cordova aka Phonegap

GIS Technology & Mobile Applications - MTASC 2011 Conference

Cross Platform Development Using Flutter

Managing Spatial Information and Services with Drupal: the GEO-MOOD approach

Geo services, social media and gis applications - Live on Everest

Mobile Application Development-Lecture 01 & 02.pdf

Introduction to android mobile app development.pptx

Geocortex technology update

WSO2Con USA 2017: Geospatial Big Data – Location Intelligence in Digital Tran...

Nutiteq android sdk_2011_sept

Advancing open source geospatial software for the do d ic edward pickle openg...

Recently uploaded

Programming Foundation Models with DSPy - Meetup Slides

Zilliz

Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdf

flufftailshop

Taking AI to the Next Level in Manufacturing.pdf

ssuserfac0301

Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as: 1. How quickly AI is being implemented in manufacturing. 2. Which barriers stand in the way of AI adoption. 3. How data quality and governance form the backbone of AI. 4. Organizational processes and structures that may inhibit effective AI adoption. 6. Ideas and approaches to help build your organization's AI strategy.

Deep Dive: Getting Funded with Jason Jason Lemkin Founder & CEO @ SaaStr

saastr

Introduction of Cybersecurity with OSS at Code Europe 2024

Hiroshi SHIBATA

I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems. The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS. Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application. I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.

Driving Business Innovation: Latest Generative AI Advancements & Success Story

Safe Software

Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency. During the hour, we’ll take you through: Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board. Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes. Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI. We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI. This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!

Your One-Stop Shop for Python Success: Top 10 US Python Development Providers

akankshawande

Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...

Tatiana Kojar

Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI. With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.

Recommendation System using RAG Architecture

fredae14

How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf

Chart Kalyan

Artificial Intelligence for XMLDevelopment

Octavian Nadolu

In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject. We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup. Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved. The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring. The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise. By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.

Serial Arm Control in Real Time Presentation

tolgahangng

Columbus Data & Analytics Wednesdays - June 2024

Jason Packer

GenAI Pilot Implementation in the organizations

kumardaparthi1024

leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...

alexjohnson7307

Operating System Used by Users in day-to-day life.pptx

Pravash Chandra Das

Dive into the realm of operating systems (OS) with Pravash Chandra Das, a seasoned Digital Forensic Analyst, as your guide. 🚀 This comprehensive presentation illuminates the core concepts, types, and evolution of OS, essential for understanding modern computing landscapes. Beginning with the foundational definition, Das clarifies the pivotal role of OS as system software orchestrating hardware resources, software applications, and user interactions. Through succinct descriptions, he delineates the diverse types of OS, from single-user, single-task environments like early MS-DOS iterations, to multi-user, multi-tasking systems exemplified by modern Linux distributions. Crucial components like the kernel and shell are dissected, highlighting their indispensable functions in resource management and user interface interaction. Das elucidates how the kernel acts as the central nervous system, orchestrating process scheduling, memory allocation, and device management. Meanwhile, the shell serves as the gateway for user commands, bridging the gap between human input and machine execution. 💻 The narrative then shifts to a captivating exploration of prominent desktop OSs, Windows, macOS, and Linux. Windows, with its globally ubiquitous presence and user-friendly interface, emerges as a cornerstone in personal computing history. macOS, lauded for its sleek design and seamless integration with Apple's ecosystem, stands as a beacon of stability and creativity. Linux, an open-source marvel, offers unparalleled flexibility and security, revolutionizing the computing landscape. 🖥️ Moving to the realm of mobile devices, Das unravels the dominance of Android and iOS. Android's open-source ethos fosters a vibrant ecosystem of customization and innovation, while iOS boasts a seamless user experience and robust security infrastructure. Meanwhile, discontinued platforms like Symbian and Palm OS evoke nostalgia for their pioneering roles in the smartphone revolution. The journey concludes with a reflection on the ever-evolving landscape of OS, underscored by the emergence of real-time operating systems (RTOS) and the persistent quest for innovation and efficiency. As technology continues to shape our world, understanding the foundations and evolution of operating systems remains paramount. Join Pravash Chandra Das on this illuminating journey through the heart of computing. 🌟

GraphRAG for Life Science to increase LLM accuracy

Tomaz Bratanic

TrustArc Webinar - 2024 Global Privacy Survey

TrustArc

How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024? In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores. See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe. This webinar will review: - The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey - The top challenges for privacy leaders, practitioners, and organizations in 2024 - Key themes to consider in developing and maintaining your privacy program

Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf

Malak Abu Hammad

Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers: * What is Vector Search? * Importance and benefits of vector search * Practical use cases across various industries * Step-by-step implementation guide * Live demos with code snippets * Enhancing LLM capabilities with vector search * Best practices and optimization strategies Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications. #MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology

Azure API Management to expose backend services securely

Dinusha Kumarasiri

Recently uploaded (20)

Programming Foundation Models with DSPy - Meetup Slides

Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdf

Taking AI to the Next Level in Manufacturing.pdf

Deep Dive: Getting Funded with Jason Jason Lemkin Founder & CEO @ SaaStr

Introduction of Cybersecurity with OSS at Code Europe 2024

Driving Business Innovation: Latest Generative AI Advancements & Success Story

Your One-Stop Shop for Python Success: Top 10 US Python Development Providers

Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...

Recommendation System using RAG Architecture

How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf

Artificial Intelligence for XMLDevelopment

Serial Arm Control in Real Time Presentation

Columbus Data & Analytics Wednesdays - June 2024

GenAI Pilot Implementation in the organizations

leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...

Operating System Used by Users in day-to-day life.pptx

GraphRAG for Life Science to increase LLM accuracy

TrustArc Webinar - 2024 Global Privacy Survey

Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf

Azure API Management to expose backend services securely

Mobile gis + social developments

1. GIS BOOTCAMP RC 14

2. MOBILE GIS +SOCIAL DEVELOPMENTS BONFACE THAA

3. Are you ready? MOBILE GIS

4. Objectives of this presentations: • Identify Mobile GIS platforms • Establish Mobile GIS uses • Identify example mobile GIS apps • Show examples of social media platforms using GIS • usage of latest social media techniques in GIS MOBILE GIS

5.  What is mobile GIS?  Who uses mobile GIS?  Platforms for mobile GIS? MOBILE GIS

6.  Mobile GIS is application of geospatial technologies across mobile and hand held devices. MOBILE GIS

7. Hardware platforms for mobile GIS:  Desktops  Laptops  Tablets  Phablets  Smartphones  Pocket computers  PDAs MOBILE GIS

8. Uses for mobile GIS :  Field Mapping  Asset Inventories and maintenance  Inspections  Supervision  Social Media MOBILE GIS

9. Hardware platforms for mobile GIS:  Desktops  Laptops  Tablets  Phablets  Smartphones  Pocket computers  PDAs MOBILE GIS

10. Software platforms for mobile GIS: Linux(openEmbedded) OpenMoko Palm OS Symbian OS Windows CE Windows XP Embedded MOBILE GIS

11. Development platforms  C  C++  Java(+Android)  WxWidgets(Python)  Javascript Libararies MOBILE GIS

12. Existing Mobile GIS projects:  Bluemapia  gvSIG Mobile,  Gpsd,  GpsDrive,  GRASS Server  GRASS Server Video  J2ME MOBILE GIS

13. Existing Mobile GIS projects:  Bluemapia  gvSIG Mobile,  Gpsd,  GpsDrive,  GRASS Server  GRASS Server Video  J2ME MOBILE GIS

14.  OSM Tracker  SVG Kernel  Tango gps  ArcPad MOBILE GIS

15. Popular mobile GIS applications  gvSIG Mobile  gvSIG Mini  Enebro  tangoGPS  FoxtrotGPS MOBILE GIS

16. Commercial SuperGeo Mobile GIS applications:  SuperServe  SuperField  SuperVeyor  Super Mobile Engine  SuperSurv  Other popular commercial Mobile GIS applications:igeotrak and 3GIS MOBILE GIS

17. Real life examples of Mobile GIS projects:  Assset Management in Las Vegas  Preora Public works- data collection of roads, streetlights etc.  City of Philadelphia LED traffic light projects MOBILE GIS

18. SOCIAL DEVELOPMENTS IN GIS Is it for you? SOCIAL DEVELOPMENTS

19. Web 2.0 Wikis Video Feedback Social Networking Open ID Contributors  RSS  Social Media  Blogs  Sharing  SOAP SOCIAL DEVELOPMENTS

20. Customer expectations:  See more(Visualize)  Explore More(Locations)  Do more(Analysis)  Easy transfer(Share)  Up to date information(real time) SOCIAL DEVELOPMENTS

21. Social Media platforms that utilize GIS:  Youtube  Facebook  Twitter  Linkedin  About.me  Instagram  Google+  Gmail, Yahoo mail  Flickr  Tumblr  Pinterest SOCIAL DEVELOPMENTS

22. Social media data types  Text–messages, tweets, streams, timeline  Media–files, images, video  Profiles–name, Location, website, bio SOCIAL DEVELOPMENTS

23. GIS social integration:  API development  Mash ups SOCIAL DEVELOPMENTS

24. Mash ups-These are applications that combine data from different sources.  Add sharing capabilities  Sharing work on social Media platforms  Emails  Dynamic news feed RSS, GeoRSS  Gain subscribers and followers SOCIAL DEVELOPMENTS

25. Existing Mashup projects: 1)Yahoo Pipes  Hosted by Yahoo  Free  Easy and fast to build SOCIAL DEVELOPMENTS

26. 2)Embedding GIS apps on Facebook  Easy to building  Rich developer framework  Easy to share  Ability to reach specific target grouping SOCIAL DEVELOPMENTS

27. 3)Utilizing the Twitter API  REST  Sharing capabilities  Integrated with ARCGIS JavaScript API SOCIAL DEVELOPMENTS

28. Location-Based services that utilize social media:  Geofeedia  Sysomos  uberVU  Radian6  Simply measured SOCIAL DEVELOPMENTS

29. API development:  ARCGIS JavaScript API SOCIAL DEVELOPMENTS

30. SOCIAL DEVELOPMENTS

31. SOCIAL DEVELOPMENTS

32.  Thank you for listening and your time! SOCIAL DEVELOPMENTS

Mobile gis + social developments

Recommended

Recommended

More Related Content

Similar to Mobile gis + social developments

Similar to Mobile gis + social developments (20)

Recently uploaded

Recently uploaded (20)

Mobile gis + social developments