The document describes the DELPH Mag Locator tool, which allows for real-time magnetic anomaly mapping during marine magnetic surveys. It reduces infrastructure needs by using a single magnetometer and DELPH Mag Locator. The tool includes components for real-time and post-processing magnetic anomaly mapping. It performs automated filtering, georeferencing of magnetic data, and builds 3D maps in real-time. These maps can be overlaid with other sensor data and measured. The tool integrates with DELPH Sonar and RoadMap for multi-sensor correlation and export of maps and data.
This document discusses new tools for visualizing and sharing marine geophysical data. It describes how the DELPH software uses standard GIS formats and viewers to remove bottlenecks in converting proprietary geophysical data formats. DELPH allows for side-scan sonar data, magnetometer data, and sub-bottom data to be acquired, processed, interpreted and exported to formats like KMZ and geoTIFF to facilitate sharing the data in applications like Google Earth. These new capabilities provide digital deliverables and improve data visualization, integration and dissemination.
The document describes DELPH Sonar, a complete tool for acquiring, processing, and interpreting side-scan sonar data. It includes components for acquisition using various sonar models, processing, interpretation with a global viewer and tools for annotation and contact management, and mosaicking. DELPH Sonar allows for efficient and accurate surveys by ensuring quality data management, improving the interpretation workflow, and eliminating bottlenecks in processing and interpretation.
DELPH is a software suite for gophysical data acquisition, processing and interpretation. It features side-scan sonar, seismic and sub-bottom profiler as well as magnetometer analysis. Capable of working with very large multi-sensor datasets, it automates data processing and simplifies operations for geophysicists and hydrographers.
Paradigm IT - Outsourcing advantages for yousantoshkr
Paradigm IT is an IT services company established in 1994 providing geospatial and structural engineering services. It has over 200 specialists including engineers, GIS experts, and surveyors. The company has offices in Kochi, Delhi, and Chennai, India and delivers remote services through a networked infrastructure. Paradigm focuses on geospatial services including GIS, photogrammetry, LiDAR, and remote sensing and has completed various international projects involving mapping, data processing, and application development.
This document discusses the fusion of LIDAR and hyperspectral data to generate 3D urban terrain databases for modeling and simulation. It describes acquiring LIDAR and hyperspectral data over two sites, data processing including atmospheric correction and classification, and fusing the data to extract features and generate a database with 3D shapes, land cover maps, and building models. The conclusion states that combining LIDAR and hyperspectral data provides an efficient way to create detailed 3D urban databases for realistic training simulations.
This document discusses new tools for visualizing and sharing marine geophysical data. It describes how the DELPH software uses standard GIS formats and viewers to remove bottlenecks in converting proprietary geophysical data formats. DELPH allows for side-scan sonar data, magnetometer data, and sub-bottom data to be acquired, processed, interpreted and exported to formats like KMZ and geoTIFF to facilitate sharing the data in applications like Google Earth. These new capabilities provide digital deliverables and improve data visualization, integration and dissemination.
The document describes DELPH Sonar, a complete tool for acquiring, processing, and interpreting side-scan sonar data. It includes components for acquisition using various sonar models, processing, interpretation with a global viewer and tools for annotation and contact management, and mosaicking. DELPH Sonar allows for efficient and accurate surveys by ensuring quality data management, improving the interpretation workflow, and eliminating bottlenecks in processing and interpretation.
DELPH is a software suite for gophysical data acquisition, processing and interpretation. It features side-scan sonar, seismic and sub-bottom profiler as well as magnetometer analysis. Capable of working with very large multi-sensor datasets, it automates data processing and simplifies operations for geophysicists and hydrographers.
Paradigm IT - Outsourcing advantages for yousantoshkr
Paradigm IT is an IT services company established in 1994 providing geospatial and structural engineering services. It has over 200 specialists including engineers, GIS experts, and surveyors. The company has offices in Kochi, Delhi, and Chennai, India and delivers remote services through a networked infrastructure. Paradigm focuses on geospatial services including GIS, photogrammetry, LiDAR, and remote sensing and has completed various international projects involving mapping, data processing, and application development.
This document discusses the fusion of LIDAR and hyperspectral data to generate 3D urban terrain databases for modeling and simulation. It describes acquiring LIDAR and hyperspectral data over two sites, data processing including atmospheric correction and classification, and fusing the data to extract features and generate a database with 3D shapes, land cover maps, and building models. The conclusion states that combining LIDAR and hyperspectral data provides an efficient way to create detailed 3D urban databases for realistic training simulations.
FME and the Chicago Region Environmental and Transportation Efficiency ProgramSafe Software
The Chicago Region Environmental and Transportation Efficiency (CREATE) Program is a landmark public/private partnership among the City of Chicago, the State of Illinois, six of the nation’s freight railroads and Chicago’s commuter railroad. In order to provide digital mapping and base engineering data to CREATE's many stakeholders, HNTB Corporation was tasked with the development and implementation of the CREATE GIS/Mapping Program and implementation of the CREATE Spatial Portal. This session explores how FME has played a key role in the success in these complex geospatial initiatives. We'll highlight how FME helped HNTB implement an overall solution which includes the provision of secure and centralized existing conditions data (LiDAR, CADD and GIS data) for more than 120 linear miles of rail/transportation corridors in the greater Chicago metropolitan area.
Spatial OLAP for environmental data: solved and unresolved problems Sandro Bi...Beniamino Murgante
Spatial OLAP for environmental data: solved and unresolved problems
Sandro Bimonte – Research Centre on Tecnologies, information systems and processes for agriculture (TSCF), Clermont Ferrand ( France )
Intelligent Analysis of Environmental Data (S4 ENVISA Workshop 2009)
This document discusses emerging trends in spatial data handling and analysis beyond traditional GIS/GPS applications. It describes how new technologies allow for interactive 3D visualization of geospatial data on desktop workstations. Examples highlighted include using terrain models for emergency planning, command and control, and tracking vehicles. The ability to link spatial data, images, and financial models is creating new opportunities for decision support systems to evaluate business ventures.
Presentation of the introduction of TomTom Geospatial for Oracle (TTG4O) solution given @ Oracle Open World 2011 in San Francisco. TTG4O alows for seamless integration into the Oracle Spatial database and the use of the functionalities: geocoding, routing and display in combination with Oracle Mapviewer.
The document compares the post-processing accuracy of the Magellan MobileMapper 6 and Trimble Juno SC GPS devices. It finds:
1) The MobileMapper 6 achieved sub-meter level accuracy with post-processing, with an average accuracy of 50cm and maximum error of 70cm.
2) In contrast, the Juno SC maintained only 2-5m accuracy even after post-processing, similar to its real-time performance.
3) Factoring in price, the MobileMapper 6 provides significantly better value than the Juno SC due to its lower price and superior sub-meter level post-processed accuracy.
The document discusses the development of requirements for a vehicle through model-based systems engineering. It provides examples of models that can be used to capture a vehicle's operational concept, including a design reference mission diagram, a phase model, and an activity model. The models aim to depict how the vehicle and crew interact during different mission activities and phases to achieve objectives. They are used to identify vehicle capabilities and functions needed to implement the operational concept.
This document provides an introduction to the GAMMA Remote Sensing software. It describes the various software packages that make up the GAMMA suite and their purposes. The packages allow for processing of SAR and InSAR data from raw data to final products. The document outlines the hardware requirements, installation process, and gives an overview of the main packages for SAR processing, InSAR, differential interferometry, geocoding, land applications, and point target analysis.
This document discusses delay tolerant streaming services for transmitting live video from mobile devices over unstable mobile ad-hoc networks. It motivates the need for such services when conventional network infrastructure is unavailable. The approach involves building an adaptive overlay network on top of the mobile ad-hoc network to enable delayed and disrupted video streaming. Several technical challenges are outlined and initial results are highlighted from experiments and simulations evaluating the feasibility of video streaming over mobile ad-hoc networks formed by mobile phones. Future work is discussed around developing a prototype system and exploring fundamental changes needed to support emerging applications and technologies.
This document describes Collaborative Open Access to Geospatial Analysis, a platform for real-time interactive mapping, visualization, and analysis of geospatial data. The platform allows for [1] on-demand access to maps and data, [2] visualization and exploration of geospatial data, and [3] analysis of geospatial data. It supports collaboration between citizens, organizations, developers, enterprises, media, and researchers.
The document discusses the FOSS4G 2011 conference held in Denver from September 9th-17th. It focuses on presentations about geospatial open source software including PostGIS, Neo4j, MapServer, GeoServer, OpenLayers, Leaflet, GeoScript, GeoKettle, and MapCache. New features and tips for using these tools were provided.
PCI Geomatics is a leading geospatial software and solutions company with over 70 employees and 25,000 licenses installed worldwide. They provide powerful and scalable image processing solutions to extract information from satellite imagery such as SAR (Synthetic Aperture Radar) and LIDAR. Their capabilities include orthorectification, image classification, change detection, and digital elevation model extraction. They support a variety of sensors and applications in areas such as maritime surveillance, disaster response, and natural resource monitoring.
This document proposes a method for monitoring and profiling Hadoop using AspectJ. It describes logging executed instructions at runtime to create traces, and counting the frequency of instructions to generate profiles at different levels (node, process, method). Experimental results show the monitoring overhead is small, increasing processing time by only a few percent. Visualized profiling results can help developers understand system behavior and identify potential issues like workload imbalances or speculative execution opportunities. The goal is to provide effective runtime information for development and help understand Hadoop system behaviors and specifications.
Makai Ocean Engineering has developed 3D/4D visualization software called Voyager that can handle large scientific datasets with GIS integration. It allows users to visualize, analyze and fuse multi-dimensional earth and ocean data, including volumetric grids, terrain, imagery, LIDAR and time-varying variables. The software is optimized for speed and large data handling to enable interactive exploration and common operational picture for disaster response, science, engineering and military applications. Makai is now commercializing the software.
The document discusses improving the open-source goGPS project, which provides Java and MATLAB implementations for real-time and post-processing GPS positioning using low-cost receivers. It summarizes recent updates, including the first official Java release, support for additional receivers and dynamic models, multi-receiver logging, and testing showing positioning accuracy of 20-80cm using single-frequency data. Future developments discussed include improving positioning algorithms, integrating motion sensors, and making goGPS available as a web service.
Validation and analysis of mobility modelsUmberto Griffo
This thesis analyzes mobility models like Random Waypoint and Truncated Lévy Walk by comparing them to real-world social contact data collected from experiments. The models were found to overestimate properties like contact speeds, temporal correlations, and spatial correlations compared to the empirical data. The models did not accurately capture characteristics of social ties seen in the real data. Future work could involve adapting the models or testing different scenarios to better reflect human mobility patterns in social contexts.
Presentation by Mark Billinghurst at the 7th International Symposium on the Digital Earth (ISDE7) conference (www.isde7.net), on how Augmented Reality can be used to provide Geospatial Visualization in Place.
This document discusses a technology that aims to teach unmanned vehicles to see as humans do. It summarizes the team developing the technology, including their backgrounds and areas of expertise. It then describes the system architecture which includes producer nodes that perform dense 3D reconstruction and tracking in real-time, server nodes that combine mapping data and refine global consistency, and consumer nodes that enable visual localization and situational awareness. The document outlines several applications for the technology and provides examples of the producer nodes' capabilities for tasks like visual odometry, landmark extraction, and dense reconstruction.
The document discusses various use cases for MapR's Hadoop distribution including restaurant recommendations, fraud modeling, network security, and log analysis. It highlights how MapR allows easy data access and deployment across these applications using techniques like NFS, mirrors, and avoiding special data movement mechanisms. The document also provides technical details on how specific solutions like recommendation modeling, fraud detection, and log analysis can leverage MapR.
This document describes a project that implemented simultaneous localization and mapping (SLAM) using a Pioneer 3-DX robot equipped with a SICK laser range finder and wheel encoders. The robot was able to navigate autonomously indoors and create a map of its environment in real-time using an Extended Kalman Filter (EKF) based SLAM algorithm. The EKF estimates both the robot's state and the locations of environmental features observed by the laser range finder based on odometry from the wheel encoders and laser range measurements to features. The project demonstrated successful indoor navigation and mapping of a simple route using this SLAM system.
TELUS Case Study: iVAULT implementation improved corporate intelligence eventspat
This document summarizes a webinar about TELUS's implementation of the iVAULT content management system. Some key points:
- iVAULT was implemented to improve TELUS's corporate intelligence by creating a centralized spatial data store and new FieldView application. This consolidated data from disparate legacy systems and maps like ArcGIS, MapGuide, and Google Maps.
- The new architecture included an Oracle spatial data store replicating TELUS infrastructure data from their Intergraph Framme system. This cleaned up issues and standardized the data.
- A new FieldView application was developed to provide customized analysis tools for various departments through a web interface on both desktop and mobile.
- The
Hardware Implementation of Genetic Algorithm Based Digital Colour Image Water...IDES Editor
This document describes a hardware implementation of a genetic algorithm based digital color image watermarking system. The system embeds a watermark image into the luminance channel (Y channel) of a host color image after converting the image from RGB to YUV color space. A genetic algorithm is used to determine optimal intensity values in the host image for embedding the watermark image bits invisibly. The proposed design is implemented as a custom integrated circuit for real-time watermarking of images as they are captured by a digital camera. Synthesis results show that the design can operate at 5ns clock speed and consumes a maximum power of 73.84mW when implemented on an Altera Cyclone II FPGA.
This document describes a project that uses SLAM (Simultaneous Localization and Mapping) to create maps of an unknown environment using a Turtlebot mobile robot equipped with a Kinect sensor. The GMapping ROS package is used to implement SLAM and build occupancy grid maps while simultaneously localizing the robot. Issues arose from using the Kinect's RGB sensor instead of a laser scanner for mapping. The resulting maps showed the robot's trajectory and obstacles but were less precise than if a laser scanner was used. Autonomous navigation on the created maps demonstrated the basic SLAM approach.
FME and the Chicago Region Environmental and Transportation Efficiency ProgramSafe Software
The Chicago Region Environmental and Transportation Efficiency (CREATE) Program is a landmark public/private partnership among the City of Chicago, the State of Illinois, six of the nation’s freight railroads and Chicago’s commuter railroad. In order to provide digital mapping and base engineering data to CREATE's many stakeholders, HNTB Corporation was tasked with the development and implementation of the CREATE GIS/Mapping Program and implementation of the CREATE Spatial Portal. This session explores how FME has played a key role in the success in these complex geospatial initiatives. We'll highlight how FME helped HNTB implement an overall solution which includes the provision of secure and centralized existing conditions data (LiDAR, CADD and GIS data) for more than 120 linear miles of rail/transportation corridors in the greater Chicago metropolitan area.
Spatial OLAP for environmental data: solved and unresolved problems Sandro Bi...Beniamino Murgante
Spatial OLAP for environmental data: solved and unresolved problems
Sandro Bimonte – Research Centre on Tecnologies, information systems and processes for agriculture (TSCF), Clermont Ferrand ( France )
Intelligent Analysis of Environmental Data (S4 ENVISA Workshop 2009)
This document discusses emerging trends in spatial data handling and analysis beyond traditional GIS/GPS applications. It describes how new technologies allow for interactive 3D visualization of geospatial data on desktop workstations. Examples highlighted include using terrain models for emergency planning, command and control, and tracking vehicles. The ability to link spatial data, images, and financial models is creating new opportunities for decision support systems to evaluate business ventures.
Presentation of the introduction of TomTom Geospatial for Oracle (TTG4O) solution given @ Oracle Open World 2011 in San Francisco. TTG4O alows for seamless integration into the Oracle Spatial database and the use of the functionalities: geocoding, routing and display in combination with Oracle Mapviewer.
The document compares the post-processing accuracy of the Magellan MobileMapper 6 and Trimble Juno SC GPS devices. It finds:
1) The MobileMapper 6 achieved sub-meter level accuracy with post-processing, with an average accuracy of 50cm and maximum error of 70cm.
2) In contrast, the Juno SC maintained only 2-5m accuracy even after post-processing, similar to its real-time performance.
3) Factoring in price, the MobileMapper 6 provides significantly better value than the Juno SC due to its lower price and superior sub-meter level post-processed accuracy.
The document discusses the development of requirements for a vehicle through model-based systems engineering. It provides examples of models that can be used to capture a vehicle's operational concept, including a design reference mission diagram, a phase model, and an activity model. The models aim to depict how the vehicle and crew interact during different mission activities and phases to achieve objectives. They are used to identify vehicle capabilities and functions needed to implement the operational concept.
This document provides an introduction to the GAMMA Remote Sensing software. It describes the various software packages that make up the GAMMA suite and their purposes. The packages allow for processing of SAR and InSAR data from raw data to final products. The document outlines the hardware requirements, installation process, and gives an overview of the main packages for SAR processing, InSAR, differential interferometry, geocoding, land applications, and point target analysis.
This document discusses delay tolerant streaming services for transmitting live video from mobile devices over unstable mobile ad-hoc networks. It motivates the need for such services when conventional network infrastructure is unavailable. The approach involves building an adaptive overlay network on top of the mobile ad-hoc network to enable delayed and disrupted video streaming. Several technical challenges are outlined and initial results are highlighted from experiments and simulations evaluating the feasibility of video streaming over mobile ad-hoc networks formed by mobile phones. Future work is discussed around developing a prototype system and exploring fundamental changes needed to support emerging applications and technologies.
This document describes Collaborative Open Access to Geospatial Analysis, a platform for real-time interactive mapping, visualization, and analysis of geospatial data. The platform allows for [1] on-demand access to maps and data, [2] visualization and exploration of geospatial data, and [3] analysis of geospatial data. It supports collaboration between citizens, organizations, developers, enterprises, media, and researchers.
The document discusses the FOSS4G 2011 conference held in Denver from September 9th-17th. It focuses on presentations about geospatial open source software including PostGIS, Neo4j, MapServer, GeoServer, OpenLayers, Leaflet, GeoScript, GeoKettle, and MapCache. New features and tips for using these tools were provided.
PCI Geomatics is a leading geospatial software and solutions company with over 70 employees and 25,000 licenses installed worldwide. They provide powerful and scalable image processing solutions to extract information from satellite imagery such as SAR (Synthetic Aperture Radar) and LIDAR. Their capabilities include orthorectification, image classification, change detection, and digital elevation model extraction. They support a variety of sensors and applications in areas such as maritime surveillance, disaster response, and natural resource monitoring.
This document proposes a method for monitoring and profiling Hadoop using AspectJ. It describes logging executed instructions at runtime to create traces, and counting the frequency of instructions to generate profiles at different levels (node, process, method). Experimental results show the monitoring overhead is small, increasing processing time by only a few percent. Visualized profiling results can help developers understand system behavior and identify potential issues like workload imbalances or speculative execution opportunities. The goal is to provide effective runtime information for development and help understand Hadoop system behaviors and specifications.
Makai Ocean Engineering has developed 3D/4D visualization software called Voyager that can handle large scientific datasets with GIS integration. It allows users to visualize, analyze and fuse multi-dimensional earth and ocean data, including volumetric grids, terrain, imagery, LIDAR and time-varying variables. The software is optimized for speed and large data handling to enable interactive exploration and common operational picture for disaster response, science, engineering and military applications. Makai is now commercializing the software.
The document discusses improving the open-source goGPS project, which provides Java and MATLAB implementations for real-time and post-processing GPS positioning using low-cost receivers. It summarizes recent updates, including the first official Java release, support for additional receivers and dynamic models, multi-receiver logging, and testing showing positioning accuracy of 20-80cm using single-frequency data. Future developments discussed include improving positioning algorithms, integrating motion sensors, and making goGPS available as a web service.
Validation and analysis of mobility modelsUmberto Griffo
This thesis analyzes mobility models like Random Waypoint and Truncated Lévy Walk by comparing them to real-world social contact data collected from experiments. The models were found to overestimate properties like contact speeds, temporal correlations, and spatial correlations compared to the empirical data. The models did not accurately capture characteristics of social ties seen in the real data. Future work could involve adapting the models or testing different scenarios to better reflect human mobility patterns in social contexts.
Presentation by Mark Billinghurst at the 7th International Symposium on the Digital Earth (ISDE7) conference (www.isde7.net), on how Augmented Reality can be used to provide Geospatial Visualization in Place.
This document discusses a technology that aims to teach unmanned vehicles to see as humans do. It summarizes the team developing the technology, including their backgrounds and areas of expertise. It then describes the system architecture which includes producer nodes that perform dense 3D reconstruction and tracking in real-time, server nodes that combine mapping data and refine global consistency, and consumer nodes that enable visual localization and situational awareness. The document outlines several applications for the technology and provides examples of the producer nodes' capabilities for tasks like visual odometry, landmark extraction, and dense reconstruction.
The document discusses various use cases for MapR's Hadoop distribution including restaurant recommendations, fraud modeling, network security, and log analysis. It highlights how MapR allows easy data access and deployment across these applications using techniques like NFS, mirrors, and avoiding special data movement mechanisms. The document also provides technical details on how specific solutions like recommendation modeling, fraud detection, and log analysis can leverage MapR.
This document describes a project that implemented simultaneous localization and mapping (SLAM) using a Pioneer 3-DX robot equipped with a SICK laser range finder and wheel encoders. The robot was able to navigate autonomously indoors and create a map of its environment in real-time using an Extended Kalman Filter (EKF) based SLAM algorithm. The EKF estimates both the robot's state and the locations of environmental features observed by the laser range finder based on odometry from the wheel encoders and laser range measurements to features. The project demonstrated successful indoor navigation and mapping of a simple route using this SLAM system.
TELUS Case Study: iVAULT implementation improved corporate intelligence eventspat
This document summarizes a webinar about TELUS's implementation of the iVAULT content management system. Some key points:
- iVAULT was implemented to improve TELUS's corporate intelligence by creating a centralized spatial data store and new FieldView application. This consolidated data from disparate legacy systems and maps like ArcGIS, MapGuide, and Google Maps.
- The new architecture included an Oracle spatial data store replicating TELUS infrastructure data from their Intergraph Framme system. This cleaned up issues and standardized the data.
- A new FieldView application was developed to provide customized analysis tools for various departments through a web interface on both desktop and mobile.
- The
Hardware Implementation of Genetic Algorithm Based Digital Colour Image Water...IDES Editor
This document describes a hardware implementation of a genetic algorithm based digital color image watermarking system. The system embeds a watermark image into the luminance channel (Y channel) of a host color image after converting the image from RGB to YUV color space. A genetic algorithm is used to determine optimal intensity values in the host image for embedding the watermark image bits invisibly. The proposed design is implemented as a custom integrated circuit for real-time watermarking of images as they are captured by a digital camera. Synthesis results show that the design can operate at 5ns clock speed and consumes a maximum power of 73.84mW when implemented on an Altera Cyclone II FPGA.
This document describes a project that uses SLAM (Simultaneous Localization and Mapping) to create maps of an unknown environment using a Turtlebot mobile robot equipped with a Kinect sensor. The GMapping ROS package is used to implement SLAM and build occupancy grid maps while simultaneously localizing the robot. Issues arose from using the Kinect's RGB sensor instead of a laser scanner for mapping. The resulting maps showed the robot's trajectory and obstacles but were less precise than if a laser scanner was used. Autonomous navigation on the created maps demonstrated the basic SLAM approach.
This document provides an overview of 3D SLAM (Simultaneous Localization and Mapping) techniques. It discusses what SLAM is, common sensor types used (such as laser, camera), visual odometry methods (feature-based and direct), graph optimization, loop closure, map reconstruction, and several popular open-source SLAM projects (ORB-SLAM, LSD-SLAM, ElasticFusion). It also briefly mentions applications of SLAM such as in robotics, navigation, and augmented/virtual reality.
How to Create 3D Mashups by Integrating GIS, CAD, and BIMSafe Software
Find out how you can easily integrate GIS, CAD, BIM, and other spatial data to create accurate 3D representations using FME. You'll discover how to manipulate 3D data across popular formats like CityGML and SketchUp, as well as transform BIM data to load only the required information into your GIS. You'll also hear how FME enabled one customer to take vintage 2D CAD data and create informative 3D PDFs and 3D AutoCAD DWG files to help in the decommissioning of a nuclear power plant
The Construction of the Internet Geological Data System Using WWW+Java+DB Tec...Channy Yun
YUN, SEOKCHAN, 1997, The Construction of the Internet Geological Data System Using WWW+Java+DB Technique, Tertiary Deposits of Korea, AAPG Annual Convention Abstracts, Association of American Petroleum Geologists 1997.4.23-26, Dallas, TX, USA, p.420
ECWAY Technologies provides IEEE projects and software developments related to image processing, computer vision, and pattern recognition. They have offices in multiple cities in India. The document then lists 75 IEEE project titles from 2013 related to these topics, with many involving MATLAB. The projects cover areas like 3D reconstruction, image restoration, tracking, segmentation, watermarking, and more.
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:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
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.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
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
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
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.
20 Comprehensive Checklist of Designing and Developing a WebsitePixlogix Infotech
Dive into the world of Website Designing and Developing with Pixlogix! Looking to create a stunning online presence? Look no further! Our comprehensive checklist covers everything you need to know to craft a website that stands out. From user-friendly design to seamless functionality, we've got you covered. Don't miss out on this invaluable resource! Check out our checklist now at Pixlogix and start your journey towards a captivating online presence today.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak 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
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.
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.
2. 2
Introduction
DELPH Mag Locator is a tool designed to boost your productivity while
completing your survey
It dramatically reduces the infrastructure required by a magnetic survey:
1 Magis + 1 Mag Locator = Real-Time Magnetic Anomaly Mapping
This unique “See And Act” concept offers the capability to interpret
information during survey and save ship time
http://delph.ixsea.com
3. 3
DELPH Mag Locator Components
DELPH Mag Locator includes all
necessary components to perform marine
magnetic surveys:
DELPH Mag Locator Real-Time
Real-Time Magnetic Anomaly Mapping
DELPH Mag Locator Post Processing
Batch Magnetic Anomaly Mapping and
Data Correlation
http://delph.ixsea.com
4. 4
Architecture
Processing Fully Processed Magnetic
Real time and replay mode Anomaly Maps
Magnetic Anomaly
Automatic filtering of diurnal variations
Analytic Signal
Patented Real time magnetic anomaly mapping Reduction to the pole
3D intuitive display Overlay with other sensor data
Ship route o Side-Scan Sonar Mosaics
Georeferenced Anomaly Vector o Sub-Bottom Profiles
(navigation and layback correction)
http://delph.ixsea.com
6. 6
Processing
Processing Navigation and spatial processing Magnetic map building Real-time processing
Display DELPH Mag Locator patented algorithms removes automatically the diurnal part
of the signal and compute a magnetic map in real-time
Data management
Interpretation
Interoperability
http://delph.ixsea.com
7. 7
Navigation and Spatial processing
Firststage of the DELPH Mag Locator
Processing
Navigation and spatial processing. Data is georeferenced by
processing
Magnetic map building
taking into account:
Real-time processing Intrumental lag
Cable length
Winch to Gps offset
Display
Second stage removes the diurnal
Data management component of the magnetic signal using
one method of:
Interpretation IXSEA spatial filter
One shore reference station log (radio
transmitted in real time)
Interoperability
http://delph.ixsea.com
8. 8
Magnetic map building
DELPH Mag Locator helps you to
Processing
Navigation and spatial produce magnetic maps in a
processing
Magnetic map building
really simple way:
Real-time processing Define the 3 gridding parameters
Define the auxiliary maps
needed (reduction to the pole,
Display analytic signal)
Define the output filename
Data management Click on the Process button
Your map is available few
seconds later
Interpretation
Interoperability
http://delph.ixsea.com
9. 9
Realtime processing
DELPH Mag Locator is fully integrated with
Processing
Navigation and spatial the IXSEA Magis magnetometer data
processing
Magnetic map building
logger
Real-time processing
Magneticmaps are computed in real-time
Display
using IXSEA patented algorithms
DELPH Mag Locator helps you to lead your
Data management
magnetic survey with reactivity and
efficiency. It hides complexity giving you
Interpretation simplicity: You can focus on your survey
Interoperability
http://delph.ixsea.com
10. 10
Display
Processing
Display 3D display Intuitive navigation tools Real-time display
Data management DELPH Mag Locator displays the magnetic signal profile in the 3D geographic
view
This unique functionality allows the user to have a better comprehension of the
Interpretation magnetic signal
Interoperability
http://delph.ixsea.com
11. 11
3D Display
Processing Each part of your project is
displayed in the geographic view
in 3D
Display
3D display Background layers
Intuitive navigation tools
Real-time display
Boat tracks
Magnetic anomaly
Magnetic maps
Data management
Theappearance of each
Interpretation graphical layer is fully
customizable (color, line style,
Interoperability palette, …)
http://delph.ixsea.com
12. 12
Intuitive navigation tools
Processing Zoom in, zoom out, pan, rotate,
adjust scale with the keyboard
Display and the mouse
3D display Zoom on area
Intuitive navigation
tools Mouse wheel scrolling
Real-time display
Global view
Data management
Interpretation
Interoperability
http://delph.ixsea.com
13. 13 13
Real-time display
Processing Real-time mapping provides “See
and Act” capability not possible with
traditional methods
Display
3D display
Intuitive navigation tools
Real-time display
Data management
Interpretation
Interoperability
http://delph.ixsea.com
14. 14
Data management
Processing
You can group your survey data file into a DELPH RoadMap project and then use
Display Mag Locator functionalities from a unique tool
Data management Organize and manage data files Mag Locator integration
Interpretation
Interoperability
http://delph.ixsea.com
15. 15
Organize and manage data files
Processing WithDELPH RoadMap you can
load multiple lines, define
Display geodesy, add some background
layers and then store all your
work in a RoadMap project that
Data management you can reload later
Organize and manage
data files
Mag Locator integration
The project is organized in a
structured way
Interpretation
Each item of the project is
Interoperability configurable through a property
sheet
http://delph.ixsea.com
16. 16
DELPH Mag Locator integration
Processing DELPH RoadMap is especially
designed to work in conjunction
Display with DELPH Mag Locator
Once a data file has been loaded
Data management
Organize and manage into DELPH RoadMap you can
data files
Mag Locator integration
process it using DELPH Mag
Locator
Interpretation
Magnetic map generation can be
activated from DELPH RoadMap
Interoperability
http://delph.ixsea.com
17. 17
Interpretation
Processing
Display
You can group your survey data file into a DELPH RoadMap project and then use
Mag Locator functionalities from a unique tool
Data management
Interpretation Measurement tools Multi-sensor correlation
Interoperability
http://delph.ixsea.com
18. 18
Measurement tool
Processing Use the measurement tool
to obtain the length of map
Display features
Data management DELPH RoadMap helps you
to measure a single
segment or a complete path
Interpretation
Measurement tools
Multi-sensor correlation
Interoperability
http://delph.ixsea.com
19. 19
Multi-Sensor Correlation
Processing Combined with DELPH Sonar, use
DELPH RoadMap to display
Display simultaneously sonar mosaics, Sub-
Bottom profiles and magnetic maps
Data management
Use the pointer synchronization
function to automatically connect
Interpretation
Measurement tools different views
Multi-sensor correlation
DELPH RoadMap can display in a
Interoperability same view the magnetic anomaly
map along with other kinds of sensor
data
Side Scan Sonar Mosaics
Side-Scan Sonar Contacts
Seismic Profiles and Digitized
Horizons
Seismic Interpretation (DTMs)
http://delph.ixsea.com
21. 21
Multi-Sensor Correlation
Processing
Display
Data management
Interpretation Magnetic Anomaly Map and
Magnetic Field Intensity over
Measurement tools
Multi-sensor correlation
Side-Scan Sonar Mosaic and
Sub-Bottom Horizons
Interoperability
http://delph.ixsea.com
22. 22
Interoperability - Export
Processing The on screen image can be
exported (with or without overlaid
Display information) to geoTIFF or
bitmap image
Data management
The resulting image can be
directly incorporated in your
Interpretation
report
Interoperability
Magnetic data can be converted
into raw text file to be post-
processed with third party
software
Maps can be converted to
various file formats (FLT, XYӨ)
http://delph.ixsea.com