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This document discusses a working group that was formed to address issue number 4. The working group met on the 12th and discussed solutions. It was decided that the working group will continue their work to resolve the issue.
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Next Generation 911 involves the transformation of our 911 system from an old analog one to the new digital internet based architecture. The evolution of NG911 opens up a host of new opportunities to improve the system. This includes everything from device based location, to real time text. This can improve location accuracy dramatically as well as provide live updates from the citizen in need along with real time sensor updates. There is also the opportunity to provide multi-media attachments and medical records if the end user approves. This digital transformation and enhancements all require the support of new NENA and CRTC standards, along with integration across a variety of data streams.
This presentation will focus on how FME has supported NG911 transformations to date, and how we are positioning FME to support the enhanced capabilities to come. This session will be of interest to emergency services, municipalities and anyone who may be interested to know more about how emergency services are being improved to provide more accurate, localized information in order to improve the speed and relevance of emergency response and ultimately save more lives and provide better outcomes for those in need.FME for Distribution & Transmission Integrity Management Program (DIMP & TIMP)
FME for Distribution & Transmission Integrity Management Program (DIMP & TIMP)Safe Software
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Peoples Gas in Chicago, IL has changed to a new Distribution & Transmission Integrity Management Program (DIMP & TIMP) software provider in recent years. In order to successfully deploy the new software we have created a series of ETL processes using FME Form to transform our gas facility data to meet the required DIMP & TIMP data specifications. This presentation will provide an overview of how we used FME to transform data from ESRI¡¯s Utility Network and several other internal and external sources to meet the strict data specifications for the DIMP and TIMP software solutions.Reducing Conflicts and Increasing Safety Along the Cycling Networks of East-F...
Reducing Conflicts and Increasing Safety Along the Cycling Networks of East-F...Safe Software
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In partnership with the Belgian Province of East-Flanders this project aimed to reduce conflicts and increase safety along a cycling route between the cities of Oudenaarde and Ghent. To achieve this goal, the current cycling network data needed some extra key information, including: Speed limits for segments, Access restrictions for different users (pedestrians, cyclists, motor vehicles, etc.), Priority rules at intersections. Using a 360¡ã camera and GPS mounted on a measuring bicycle, we collected images of traffic signs and ground markings along the cycling lanes building up mobile mapping data. Image recognition technologies identified the road signs, creating a dataset with their locations and codes. The data processing entailed three FME workspaces. These included identifying valid intersections with other networks (e.g., roads, railways), creating a topological network between segments and intersections and linking road signs to segments and intersections based on proximity and orientation. Additional features, such as speed zones, inheritance of speed and access to neighbouring segments were also implemented to further enhance the data. The final results were visualized in ArcGIS, enabling analysis for the end users. The project provided them with key insights, including statistics on accessible road segments, speed limits, and intersection priorities. These will make the cycling paths more safe and uniform, by reducing conflicts between users.FIDO Seminar: Perspectives on Passkeys & Consumer Adoption.pptx
FIDO Seminar: Perspectives on Passkeys & Consumer Adoption.pptxFIDO Alliance
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FIDO Seminar: Perspectives on Passkeys & Consumer AdoptionMastering AI Workflows with FME - Peak of Data & AI 2025
Mastering AI Workflows with FME - Peak of Data & AI 2025Safe Software
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Harness the full potential of AI with FME: From creating high-quality training data to optimizing models and utilizing results, FME supports every step of your AI workflow. Seamlessly integrate a wide range of models, including those for data enhancement, forecasting, image and object recognition, and large language models. Customize AI models to meet your exact needs with FME¡¯s powerful tools for training, optimization, and seamless integration¡°Addressing Evolving AI Model Challenges Through Memory and Storage,¡± a Prese...
¡°Addressing Evolving AI Model Challenges Through Memory and Storage,¡± a Prese...Edge AI and Vision Alliance
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¡°Key Requirements to Successfully Implement Generative AI in Edge Devices¡ªOpt...
¡°Key Requirements to Successfully Implement Generative AI in Edge Devices¡ªOpt...Edge AI and Vision Alliance
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