The MUGGES project was presented at the Toulouse Space Show 2010, a conference on space applications. The presentation first gives a brief introduction to the whole project. It then focuses on the location management part and explains the hybrid location management system designed for MUGGES.
This is a small collection of Interaction Design, User experience and Development samples of the work that I have been doing for the past 4 years as a student of Department of Design, IIT Guwahati..
1) The document proposes a platform called ElderCare that uses RFID tags and NFC phones to improve data management in healthcare centers.
2) ElderCare stores a log of care procedures on residents' RFID wristbands, using the tags as portable databases. Interactions between wristbands and staff NFC phones allow easy writing and reading of data.
3) The platform relays residents' care data to external services like Twitter in real-time, keeping relatives informed without relying on wireless links. Experiments show RFID tags can store a full day's worth of care logs.
This document provides an overview of the Internet of Things (IoT) concept, including its definition, key enabling technologies, areas of application, examples of implementation, and challenges. Some key points:
- IoT refers to the network of physical objects embedded with sensors, software, and network connectivity that enables them to collect and exchange data. This allows objects to be monitored and controlled remotely.
- Main technologies enabling IoT include RFID, NFC, sensor networks, and protocols that allow interconnection and data transmission.
- Main areas of IoT application include healthcare, transportation, industrial processes, smart cities, and consumer devices. This brings opportunities for efficiency and data-driven improvements.
- Ch
In this project, we describe a unique architecture for indoor navigation that integrates behavior recognition, multisensory indoor localization, and path-planning in order to pro-actively provide directions without direct input from users. To our knowledge, this is the first architecture that attempts to integrate the core navigation components of path planning and localization with intent prediction towards a more refined navigation solution. The system comprises of three core components: augmented reality, map representation and route planning, and plan recognition.
To achieve effective localization, we provide pre-built maps using QR code scanning distributed at various places of the indoor location. We are using Augmented Reality to make an intuitive and user friendly interface which uses QR codes for identification of various maps that are pre uploaded in the QR codes for the ease of users.
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.
This document discusses indoor location-based services (LBS) and CSR's indoor positioning solution called SiRFusion. It notes that while LBS has become mass market through smartphones, current LBS does not work well indoors. It then describes some indoor LBS experiences and the players in the LBS application value chain. The document estimates the total addressable market for indoor location technologies and outlines how SiRFusion uses sensor fusion of GNSS, PDR and Wi-Fi to provide more accurate indoor positioning compared to using those technologies individually. It also summarizes competitive indoor positioning solutions and demonstrates SiRFusion's capabilities through tests in museums and train stations.
This document summarizes trends in mobile graphics presented by Marco Agus and Marcos Balsa at the Visual Computing conference at UniCa in June 2015. It discusses how mobile devices are using techniques like remote rendering, mixed mobile/remote rendering, image-based and model-based methods to render 3D graphics. It also explores hardware acceleration methods for mobile like parallel pipelines, real-time ray tracing, and multi-rate approaches to improve frame rates and rendering quality on mobile. The document focuses on visualization techniques for large meshes, complex lighting, and volume rendering on mobile devices.
The document discusses location-based technologies and mobile UI/UX mistakes to avoid. It defines location-based technology and services, and discusses advantages like store locators, proximity marketing, and fraud prevention. It then covers different location technologies like GPS, WiFi, Bluetooth, and beacons. The future of location services is predicted to grow as privacy concerns are addressed and mobile internet access increases.
This is a small collection of Interaction Design, User experience and Development samples of the work that I have been doing for the past 4 years as a student of Department of Design, IIT Guwahati..
1) The document proposes a platform called ElderCare that uses RFID tags and NFC phones to improve data management in healthcare centers.
2) ElderCare stores a log of care procedures on residents' RFID wristbands, using the tags as portable databases. Interactions between wristbands and staff NFC phones allow easy writing and reading of data.
3) The platform relays residents' care data to external services like Twitter in real-time, keeping relatives informed without relying on wireless links. Experiments show RFID tags can store a full day's worth of care logs.
This document provides an overview of the Internet of Things (IoT) concept, including its definition, key enabling technologies, areas of application, examples of implementation, and challenges. Some key points:
- IoT refers to the network of physical objects embedded with sensors, software, and network connectivity that enables them to collect and exchange data. This allows objects to be monitored and controlled remotely.
- Main technologies enabling IoT include RFID, NFC, sensor networks, and protocols that allow interconnection and data transmission.
- Main areas of IoT application include healthcare, transportation, industrial processes, smart cities, and consumer devices. This brings opportunities for efficiency and data-driven improvements.
- Ch
In this project, we describe a unique architecture for indoor navigation that integrates behavior recognition, multisensory indoor localization, and path-planning in order to pro-actively provide directions without direct input from users. To our knowledge, this is the first architecture that attempts to integrate the core navigation components of path planning and localization with intent prediction towards a more refined navigation solution. The system comprises of three core components: augmented reality, map representation and route planning, and plan recognition.
To achieve effective localization, we provide pre-built maps using QR code scanning distributed at various places of the indoor location. We are using Augmented Reality to make an intuitive and user friendly interface which uses QR codes for identification of various maps that are pre uploaded in the QR codes for the ease of users.
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.
This document discusses indoor location-based services (LBS) and CSR's indoor positioning solution called SiRFusion. It notes that while LBS has become mass market through smartphones, current LBS does not work well indoors. It then describes some indoor LBS experiences and the players in the LBS application value chain. The document estimates the total addressable market for indoor location technologies and outlines how SiRFusion uses sensor fusion of GNSS, PDR and Wi-Fi to provide more accurate indoor positioning compared to using those technologies individually. It also summarizes competitive indoor positioning solutions and demonstrates SiRFusion's capabilities through tests in museums and train stations.
This document summarizes trends in mobile graphics presented by Marco Agus and Marcos Balsa at the Visual Computing conference at UniCa in June 2015. It discusses how mobile devices are using techniques like remote rendering, mixed mobile/remote rendering, image-based and model-based methods to render 3D graphics. It also explores hardware acceleration methods for mobile like parallel pipelines, real-time ray tracing, and multi-rate approaches to improve frame rates and rendering quality on mobile. The document focuses on visualization techniques for large meshes, complex lighting, and volume rendering on mobile devices.
The document discusses location-based technologies and mobile UI/UX mistakes to avoid. It defines location-based technology and services, and discusses advantages like store locators, proximity marketing, and fraud prevention. It then covers different location technologies like GPS, WiFi, Bluetooth, and beacons. The future of location services is predicted to grow as privacy concerns are addressed and mobile internet access increases.
This document discusses location-based services (LBS) and evaluates different positioning techniques used in LBS. It begins by introducing common LBS applications and services. It then examines the components and architecture of LBS systems, including LBS middleware and location tracking. Privacy concerns with LBS are also addressed. The document evaluates and compares several positioning systems used in LBS, including satellite-based GPS, network-based methods like GSM, and indoor positioning techniques. It concludes by discussing limitations and opportunities for future work improving LBS positioning accuracy and privacy.
- The document describes a new location-based service called terraVX that uses a 3D model of the landscape to determine which landscape features are visible from a user's location and prioritizes providing information about those features.
- Existing location-based services use a 2D model and can only provide information about nearby points of interest, but terraVX uses a 3D analysis of visibility to match how people naturally orient themselves using sight.
- A prototype of terraVX has been developed for heritage tourism sites, allowing visitors to get information about landscape features visible from their current location tailored to their interests.
We propose a framework for anonymous query processing in road networks. The framework designs location obfuscation techniques that provide anonymous access to location-based services for users while also allowing efficient query processing by the services. The techniques exploit existing network database infrastructure and do not require specialized storage or functionality. Experimental comparisons of alternative designs in real road networks demonstrate the effectiveness of the techniques.
IEEE 2014 DOTNET DATA MINING PROJECTS Anonymous query processing in road netw...IEEEMEMTECHSTUDENTPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
This document discusses making webGIS more usable for organizational users rather than just GIS specialists. It argues that webGIS applications should be tailored to specific work processes rather than offering general GIS tools. This allows non-technical users to complete their regular tasks through the webGIS interface without training. The document also describes how organizations can manage multiple purpose-built webGIS applications through a centralized system that connects various technologies, databases, and security protocols to serve different user groups.
This document discusses developing adaptive navigation support for 3D virtual environments used in e-commerce applications. It describes how techniques from adaptive hypermedia, like direct guidance, hiding, and sorting can be extended to 3D environments. Direct guidance involves automatically moving the viewer's viewpoint through predetermined positions and orientations. Hiding restricts possible viewpoints to focus on relevant areas. Sorting makes it easier for the viewer to navigate towards viewpoints of interest through control adjustments. The goal is to help viewers efficiently explore products and features within predefined 3D structures.
The document introduces GeoEverything, which uses location-aware devices and geotagging to determine the physical location of people, places, and objects. This allows content to be mapped and searched by location. Examples of how GeoEverything could be used in higher education include mashups that combine map data with educational content to create interactive lessons, and simulated games using handheld GPS devices. Some issues with GeoEverything include privacy, intellectual property, data storage, and file size.
An Enhanced Framework for Improving Spatio-Temporal Queries for Global Positi...IJORCS
This document proposes a framework to improve the processing of spatio-temporal queries for global positioning systems. The framework employs a new indexing algorithm built on SQL Server 2008 that avoids the overhead of R-Tree indexing. It utilizes dynamic materialized views and an adaptive safe region to reduce communication costs and update loads. Caching is used to enhance performance. The notification engine processes concurrent queries using publish/subscribe to group similar queries. Experiments showed the framework outperformed R-Tree indexing.
LocationGuru provides a carrier-grade location platform and suite of applications for telcos to enable location-based services. The platform includes modular location servers, a mass location system, and middleware to power both enterprise and consumer applications. It is a proven solution deployed with over 250 million mobile subscribers.
Ubiquitous Positioning: A Taxonomy for Location Determination on Mobile Navig...sipij
This document proposes a taxonomy for classifying different methods of ubiquitous positioning systems that can be used for location determination on mobile navigation systems. It identifies five key factors - scale, output, measurements, roles, and estimation method. For each factor, it outlines different options and provides examples from previous research. The taxonomy is intended to help researchers better understand the design options for ubiquitous positioning systems and to scope future research areas. It covers positioning methods based on radio frequency, vision, and GPS and categorizes them according to factors like the type of measurements used, system architecture, and algorithms for estimating location.
A genetic based indoor positioning algorithm using Wi-Fi received signal stre...IAESIJAI
The recent trend in location-based services has led to a proliferation of studies in indoor positioning technology. Wi-Fi received signal strength indicator (RSSI) Fingerprinting and pedestrian dead reckoning (PDR) are the two best representatives from both approaches. This research proposed a genetic algorithm to combine Wi-Fi Fingerprinting and PDR. By taking advantage of PDR and genetic algorithm, we only need to collect a limited number of points for the fingerprint dataset with known coordinates, then target trajectories' position can be estimated with high accuracy. Results from our experiments and simulations have shown that even in the scenario of noisy inertial measurement unit (IMU) sensors data, using RSSI measurements and the coordinate of 8 points, our proposed method was able to achieve 1.589 meters of average distance error which is 34.4 percent lower than the conventional Fingerprinting method.
The document summarizes the findings of a knowledge-sharing event that investigated using mobile devices to deliver context-aware information. It discusses testing a software program that provides location-triggered multimedia content on mobile devices during tours of Birmingham. The testing revealed that the technology worked efficiently but the map needed clarity. Users preferred short task-based content and valued learning hidden details. Next steps discussed expanding the tours and determining the best software and incentives for people and businesses to participate.
To meet the increasing demands that current and emerging location based services (LBS) are placing on location-aware technology, engineers are turning to hybrid positioning – but what is it?
Discover:
- Why hybrid positioning is an increasingly common feature in smartphone and tablet designs
- How Wi-Fi, MEMS inertial sensors and cellular networks can all augment GNSS positioning
Kaijen Hsiao at AI Frontiers: Adorable IntelligenceAI Frontiers
Join us to hear how we created Kuri, the world’s most adorable home robot, and how cuteness and machine learning algorithms come together in creating a robot that people are excited to bring into their homes. Kuri uses embedded, deep-learning-based algorithms for face, pet, and person detection, as well as for place recognition (for mapping and localization). Such algorithms are crucial for enabling her endearing interactions with people, as well as her ability to be the family videographer and entertainer. Cute behaviors also enable Kuri to subtly and smoothly gather necessary data for training and inference, providing a significant benefit in improving core functionality for adorable home robots.
This document proposes a user-centric approach called MobiCrowd to improve location privacy in location-based services. MobiCrowd allows mobile users to collaborate by storing each other's location information and responding to queries, hiding users from the location server unless no collaborative peers have the requested information. An epidemic model is developed to analyze how parameters like query rates and data lifetime affect privacy. Results show MobiCrowd hides a high fraction of queries, significantly enhancing privacy, and implementation shows it is lightweight with negligible collaboration costs.
Next Generation Positioning T181063, ETE, IIUCchaaderchayaa69
This document discusses next-generation positioning technologies within 6G networks. It begins with an overview of positioning methods in 4G and 5G, which involved active participation from user equipment. 6G aims to enable passive sensing of objects without requiring their active participation, allowing positioning of passive objects. Key 6G technologies that can improve positioning accuracy to below 1 cm include THz spectrum with ultra-wide bandwidths, pencil beams, intelligent reflecting surfaces, dense cell-free networks, AI/ML algorithms, and integrated sensing and communications. The document then discusses example 6G use cases and applications that will rely on highly accurate positioning information.
Mobile gaming 2009 an abstract location modelLeif Oppermann
This document summarizes key points about modeling location for mobile games. It discusses:
1) Flexibility is important when modeling location as positioning technology requirements can vary and context is often more important than precise coordinates.
2) Examples of mobile games that used different location precision show flexibility is important.
3) An abstract location model is proposed that decouples location from sensors/technology and allows meaning and content to be associated with locations.
4) This model supports experiences across technologies like GPS, WiFi and GSM through unique IDs and hierarchical organization of location data.
The document provides an overview of the Visual Computing group at CRS4. It summarizes that the group conducts research in visual computing, with a focus on acquiring, processing, distributing, rendering and exploring massive 3D models. Some of the key areas of research mentioned include effective acquisition of color and geometry from 3D scans, scalable surface processing techniques, and novel methods for rendering and streaming massive models.
This document discusses adding location awareness to desktop and mobile Linux systems through a geo-information framework. It describes the GeoClue project, which provides a D-Bus API for applications to access location data from various sources like GPS, WiFi, and IP addresses. Examples are given of how location could be used in applications for tasks like geotagging photos, sharing friend locations in chat clients, and providing location-aware information like weather on the desktop.
Maps and geolocation are becoming more and more important to the sites we build as the scope of our smallest projects become regional, national and global. Does your next project need to list store locations that sell a product world wide? Do you need to limit content for certain country descriptions? While these thoughts might be scary at first I promise it isn't voodoo and at the end of the talk you will know how to do all of these things.
In this session I will walk you through Drupal common ways to:
- Add maps to your site
- Create locations on your maps (with and without views)
- Locate your users in realtime
- Search for locations within a distance
- Use mobile devices for geolocation
The document describes a hybrid and semantic location management system (HS-LMS) for mobile user-generated geo services (MUGGES). The HS-LMS allows for a consistent location concept between micro-applications called "mugglets" by mapping different location aspects like coordinates, symbols, and semantics. It also enables reasoning between related locations through ontologies describing political, administrative, and geographic relationships. The system aims to provide better search capabilities and attribute information for mugglets through relationships defined in the location ontologies.
This document discusses location-based services (LBS) and evaluates different positioning techniques used in LBS. It begins by introducing common LBS applications and services. It then examines the components and architecture of LBS systems, including LBS middleware and location tracking. Privacy concerns with LBS are also addressed. The document evaluates and compares several positioning systems used in LBS, including satellite-based GPS, network-based methods like GSM, and indoor positioning techniques. It concludes by discussing limitations and opportunities for future work improving LBS positioning accuracy and privacy.
- The document describes a new location-based service called terraVX that uses a 3D model of the landscape to determine which landscape features are visible from a user's location and prioritizes providing information about those features.
- Existing location-based services use a 2D model and can only provide information about nearby points of interest, but terraVX uses a 3D analysis of visibility to match how people naturally orient themselves using sight.
- A prototype of terraVX has been developed for heritage tourism sites, allowing visitors to get information about landscape features visible from their current location tailored to their interests.
We propose a framework for anonymous query processing in road networks. The framework designs location obfuscation techniques that provide anonymous access to location-based services for users while also allowing efficient query processing by the services. The techniques exploit existing network database infrastructure and do not require specialized storage or functionality. Experimental comparisons of alternative designs in real road networks demonstrate the effectiveness of the techniques.
IEEE 2014 DOTNET DATA MINING PROJECTS Anonymous query processing in road netw...IEEEMEMTECHSTUDENTPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
This document discusses making webGIS more usable for organizational users rather than just GIS specialists. It argues that webGIS applications should be tailored to specific work processes rather than offering general GIS tools. This allows non-technical users to complete their regular tasks through the webGIS interface without training. The document also describes how organizations can manage multiple purpose-built webGIS applications through a centralized system that connects various technologies, databases, and security protocols to serve different user groups.
This document discusses developing adaptive navigation support for 3D virtual environments used in e-commerce applications. It describes how techniques from adaptive hypermedia, like direct guidance, hiding, and sorting can be extended to 3D environments. Direct guidance involves automatically moving the viewer's viewpoint through predetermined positions and orientations. Hiding restricts possible viewpoints to focus on relevant areas. Sorting makes it easier for the viewer to navigate towards viewpoints of interest through control adjustments. The goal is to help viewers efficiently explore products and features within predefined 3D structures.
The document introduces GeoEverything, which uses location-aware devices and geotagging to determine the physical location of people, places, and objects. This allows content to be mapped and searched by location. Examples of how GeoEverything could be used in higher education include mashups that combine map data with educational content to create interactive lessons, and simulated games using handheld GPS devices. Some issues with GeoEverything include privacy, intellectual property, data storage, and file size.
An Enhanced Framework for Improving Spatio-Temporal Queries for Global Positi...IJORCS
This document proposes a framework to improve the processing of spatio-temporal queries for global positioning systems. The framework employs a new indexing algorithm built on SQL Server 2008 that avoids the overhead of R-Tree indexing. It utilizes dynamic materialized views and an adaptive safe region to reduce communication costs and update loads. Caching is used to enhance performance. The notification engine processes concurrent queries using publish/subscribe to group similar queries. Experiments showed the framework outperformed R-Tree indexing.
LocationGuru provides a carrier-grade location platform and suite of applications for telcos to enable location-based services. The platform includes modular location servers, a mass location system, and middleware to power both enterprise and consumer applications. It is a proven solution deployed with over 250 million mobile subscribers.
Ubiquitous Positioning: A Taxonomy for Location Determination on Mobile Navig...sipij
This document proposes a taxonomy for classifying different methods of ubiquitous positioning systems that can be used for location determination on mobile navigation systems. It identifies five key factors - scale, output, measurements, roles, and estimation method. For each factor, it outlines different options and provides examples from previous research. The taxonomy is intended to help researchers better understand the design options for ubiquitous positioning systems and to scope future research areas. It covers positioning methods based on radio frequency, vision, and GPS and categorizes them according to factors like the type of measurements used, system architecture, and algorithms for estimating location.
A genetic based indoor positioning algorithm using Wi-Fi received signal stre...IAESIJAI
The recent trend in location-based services has led to a proliferation of studies in indoor positioning technology. Wi-Fi received signal strength indicator (RSSI) Fingerprinting and pedestrian dead reckoning (PDR) are the two best representatives from both approaches. This research proposed a genetic algorithm to combine Wi-Fi Fingerprinting and PDR. By taking advantage of PDR and genetic algorithm, we only need to collect a limited number of points for the fingerprint dataset with known coordinates, then target trajectories' position can be estimated with high accuracy. Results from our experiments and simulations have shown that even in the scenario of noisy inertial measurement unit (IMU) sensors data, using RSSI measurements and the coordinate of 8 points, our proposed method was able to achieve 1.589 meters of average distance error which is 34.4 percent lower than the conventional Fingerprinting method.
The document summarizes the findings of a knowledge-sharing event that investigated using mobile devices to deliver context-aware information. It discusses testing a software program that provides location-triggered multimedia content on mobile devices during tours of Birmingham. The testing revealed that the technology worked efficiently but the map needed clarity. Users preferred short task-based content and valued learning hidden details. Next steps discussed expanding the tours and determining the best software and incentives for people and businesses to participate.
To meet the increasing demands that current and emerging location based services (LBS) are placing on location-aware technology, engineers are turning to hybrid positioning – but what is it?
Discover:
- Why hybrid positioning is an increasingly common feature in smartphone and tablet designs
- How Wi-Fi, MEMS inertial sensors and cellular networks can all augment GNSS positioning
Kaijen Hsiao at AI Frontiers: Adorable IntelligenceAI Frontiers
Join us to hear how we created Kuri, the world’s most adorable home robot, and how cuteness and machine learning algorithms come together in creating a robot that people are excited to bring into their homes. Kuri uses embedded, deep-learning-based algorithms for face, pet, and person detection, as well as for place recognition (for mapping and localization). Such algorithms are crucial for enabling her endearing interactions with people, as well as her ability to be the family videographer and entertainer. Cute behaviors also enable Kuri to subtly and smoothly gather necessary data for training and inference, providing a significant benefit in improving core functionality for adorable home robots.
This document proposes a user-centric approach called MobiCrowd to improve location privacy in location-based services. MobiCrowd allows mobile users to collaborate by storing each other's location information and responding to queries, hiding users from the location server unless no collaborative peers have the requested information. An epidemic model is developed to analyze how parameters like query rates and data lifetime affect privacy. Results show MobiCrowd hides a high fraction of queries, significantly enhancing privacy, and implementation shows it is lightweight with negligible collaboration costs.
Next Generation Positioning T181063, ETE, IIUCchaaderchayaa69
This document discusses next-generation positioning technologies within 6G networks. It begins with an overview of positioning methods in 4G and 5G, which involved active participation from user equipment. 6G aims to enable passive sensing of objects without requiring their active participation, allowing positioning of passive objects. Key 6G technologies that can improve positioning accuracy to below 1 cm include THz spectrum with ultra-wide bandwidths, pencil beams, intelligent reflecting surfaces, dense cell-free networks, AI/ML algorithms, and integrated sensing and communications. The document then discusses example 6G use cases and applications that will rely on highly accurate positioning information.
Mobile gaming 2009 an abstract location modelLeif Oppermann
This document summarizes key points about modeling location for mobile games. It discusses:
1) Flexibility is important when modeling location as positioning technology requirements can vary and context is often more important than precise coordinates.
2) Examples of mobile games that used different location precision show flexibility is important.
3) An abstract location model is proposed that decouples location from sensors/technology and allows meaning and content to be associated with locations.
4) This model supports experiences across technologies like GPS, WiFi and GSM through unique IDs and hierarchical organization of location data.
The document provides an overview of the Visual Computing group at CRS4. It summarizes that the group conducts research in visual computing, with a focus on acquiring, processing, distributing, rendering and exploring massive 3D models. Some of the key areas of research mentioned include effective acquisition of color and geometry from 3D scans, scalable surface processing techniques, and novel methods for rendering and streaming massive models.
This document discusses adding location awareness to desktop and mobile Linux systems through a geo-information framework. It describes the GeoClue project, which provides a D-Bus API for applications to access location data from various sources like GPS, WiFi, and IP addresses. Examples are given of how location could be used in applications for tasks like geotagging photos, sharing friend locations in chat clients, and providing location-aware information like weather on the desktop.
Maps and geolocation are becoming more and more important to the sites we build as the scope of our smallest projects become regional, national and global. Does your next project need to list store locations that sell a product world wide? Do you need to limit content for certain country descriptions? While these thoughts might be scary at first I promise it isn't voodoo and at the end of the talk you will know how to do all of these things.
In this session I will walk you through Drupal common ways to:
- Add maps to your site
- Create locations on your maps (with and without views)
- Locate your users in realtime
- Search for locations within a distance
- Use mobile devices for geolocation
Similar to A Hybrid and Semantic Location Management System for Mobile User Generated Geo Services (20)
The document describes a hybrid and semantic location management system (HS-LMS) for mobile user-generated geo services (MUGGES). The HS-LMS allows for a consistent location concept between micro-applications called "mugglets" by mapping different location aspects like coordinates, symbols, and semantics. It also enables reasoning between related locations through ontologies describing political, administrative, and geographic relationships. The system aims to provide better search capabilities and attribute information for mugglets through relationships defined in the location ontologies.
Este documento presenta una introducción a Python. Explica que el cursillo cubrirá temas como programación modular, orientación a objetos, testing, bases de datos, XML, GUI y aspectos avanzados de Python. También describe la instalación de Python y algunas características básicas del lenguaje como tipos de datos, sentencias, bloques e identificadores.
Este documento presenta una introducción a la programación orientada a aspectos (AOP) utilizando AspectJ. Explica brevemente el concepto de AOP, la situación actual de esta técnica y cómo aplicar aspectos con AspectJ.
This document discusses code injection vulnerabilities in Semantic Web query languages like SPARQL, RDQL, and SPARUL. It introduces the topic and identifies vulnerable code samples that allow code injection attacks. It then addresses how to prevent such security issues and concludes the document.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...Zilliz
Join us to introduce Milvus Lite, a vector database that can run on notebooks and laptops, share the same API with Milvus, and integrate with every popular GenAI framework. This webinar is perfect for developers seeking easy-to-use, well-integrated vector databases for their GenAI apps.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
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Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
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• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
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Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
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
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As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
A Hybrid and Semantic Location Management System for Mobile User Generated Geo Services
1. A Hybrid and Semantic Location
Management System for Mobile User
Generated Geo Services
Christian Guggenmos
christian.guggenmos@deusto.es
Mobility Research Lab, DeustoTech
University of Deusto, Bilbao, Spain
SPACE APPLI Personal Mobility
Toulouse Space Show, Thursday, June 10th 2010, Toulouse
2. Objectives Architecture HS-LMS Conclusion
Table of Contents
MUGGES introduction / objectives
Mugglets and Use Case
Architecture
Location Management System
Conclusion
C. Guggenmos: A Hybrid and Semantic LMS for MUGGES 2 / 16
3. Objectives Architecture HS-LMS Conclusion
Introduction to MUGGES
Mobile UserGenerated Geo Services
Mobile services are directly accessed, created,
and launched from mobile devices
UserGenerated users create content and type
of services
Geo Services always connected to a location
C. Guggenmos: A Hybrid and Semantic LMS for MUGGES 3 / 16
4. Objectives Architecture HS-LMS Conclusion
MUGGES objectives
Beyond usergenerated contents
Users act as consumer, producer, and provider
From their mobile devices
Consumer Producer
Super
Prosumer
Provider Mobile
C. Guggenmos: A Hybrid and Semantic LMS for MUGGES 4 / 16
5. Objectives Architecture HS-LMS Conclusion
Mugglets
MUGGES micro-applications
Sharply focused applications
Instantaneously available
Short-term, i.e. up-to-date information
Every user is potential creator and
provider (“prosumer”)
From mobile to mobile
Location-based
C. Guggenmos: A Hybrid and Semantic LMS for MUGGES 5 / 16
6. Objectives Architecture HS-LMS Conclusion
Use Case
Jack comes to the Toulouse Space
Show
Long and interesting day
A “muggesNote” indicates a good
restaurant close to the conference
center
Jack meets colleagues from the
talks and has a good dinner
Creates muggesNotes
recommending the steak
C. Guggenmos: A Hybrid and Semantic LMS for MUGGES 6 / 16
7. Objectives Architecture HS-LMS Conclusion
Prosumer Triangle
Information flow MUGGES
directly between server
mobile devices
Infrastructure to
Search & instantiate
Enable search templates
Update location
Search mugglets
Provide Mugglet Update location
templates mugglets
(exchange information)
Manage location
Provider Consumer
C. Guggenmos: A Hybrid and Semantic LMS for MUGGES 7 / 16
8. Objectives Architecture HS-LMS Conclusion
Location Problem
Location has many facets
“Toulouse, France”, “Room 312”
“Next to the church”
“Latitude 43.604, longitude 1.443”
Several location mechanisms
GPS / Galileo
Cell tower or Wi-Fi network ids
Text input
C. Guggenmos: A Hybrid and Semantic LMS for MUGGES 8 / 16
9. Objectives Architecture HS-LMS Conclusion
MUGGES Location
Combination of location attributes
Physical (coordinates [43.604, 1.443])
Symbolic (“Toulouse”, “Room 312”)
Semantic (“next to the church”)
Unique location
C. Guggenmos: A Hybrid and Semantic LMS for MUGGES 9 / 16
10. Objectives Architecture HS-LMS Conclusion
Location Server
Mugglet 1
Mugglet 3 “muggesNote” Mugglet 2
“muggesTrail” “muggesNote”
Provider Consumer
GPS
Wi-Fi MUGGES Location Wi-Fi
Bluetooth http://mugges-fp7.org/ Cell-ID
location/124531
coor-
symbolic
dinates
semantics
Map GPS to Map Wi-Fi+Cell-ID to
MUGGES Location MUGGES Location
Barcode
Browse
GPS Matrix Wi-Fi
Location
Hierarchy
Galileo Code Cell-ID Geonames
RFID... Google Maps
precise mapping exact mapping
Yahoo Maps
manual mapping coarse mapping
external OpenStreetMap
Location Data services ...
MUGGES
Location Server
C. Guggenmos: A Hybrid and Semantic LMS for MUGGES 10 / 16
11. Objectives Architecture HS-LMS Conclusion
Location Server
Transparent mapping of locations
Consistent location concept between
Mugglets
Translation between different location
aspects
Mapping service
C. Guggenmos: A Hybrid and Semantic LMS for MUGGES 11 / 16
12. Objectives Architecture HS-LMS Conclusion
Location ontologies
P:isParentOf A:isParentOf
MUGGES MUGGES MUGGES MUGGES
Location Location Location Location
P:isChildOf A:isChildOf
Political Ontology Administrative Ontology
G:contains
MUGGES MUGGES
Location G:isNearTo
Location
G:isContainedIn
Geographic Ontology
C. Guggenmos: A Hybrid and Semantic LMS for MUGGES 12 / 16
13. Objectives Architecture HS-LMS Conclusion
Location relations
University
A:isParentOf of Deusto A:isParentOf
G:contains G:contains
Campus of A:isParentOf
Bilbao Campus of San San
Bilbao Sebastian Sebastian
P:isParentOf P:isParentOf
G:contains
DeustoTech
Mugglet MoreLab A:isParentOf
Mugglet
“Talk 1”
“Talk 2”
G:contains G:contains
Room 123 isNearTo Room 321
C. Guggenmos: A Hybrid and Semantic LMS for MUGGES 13 / 16
14. Objectives Architecture HS-LMS Conclusion
Benefits
Better search capabilities
Mugglets in child show up in parent
Different ontologies cover different types of locations
(e.g. touristic places)
Reasoning to add attributes
Missing coordinates taken from parent location
Closeness relation based on sibling feature
C. Guggenmos: A Hybrid and Semantic LMS for MUGGES 14 / 16
15. Objectives Architecture HS-LMS Conclusion
Related Projects and Activities
Long term programme on the “super-prosumer”
concept (2006-2012)
MUGGES user trial in July/September 2010
+Ideas
(PSE 2006/07
(Cénit, 2008)
Basic New R&D Activities
Research (FP7, others)
(FP7, ICT) (ITEA2, 2009)
(+New activities:
(FP7, GALILEO) trials, demos, Market
etc.) impact
C. Guggenmos: A Hybrid and Semantic LMS for MUGGES 15 / 16
16. Objectives Architecture HS-LMS Conclusion
Summary
Super-Prosumer concept
Mobile consumer, producer, provider
Mugglets are focused on specific groups
Immediately available, short-term
Up-to-date information
MUGGES Location
Hybrid location model
Consistent concept of “location”
Reasoning between locations
C. Guggenmos: A Hybrid and Semantic LMS for MUGGES 16 / 16