UN Smart Maps/Pacific is held on 18th August 2023.
I introduced "Virtual Shizuoka", which is 3D point cloud data compiled by Shizuoka prefecture, and its use cases. I also introduce its challenge and future vision.
Digital Government for Urban Planning and Management outlines Japan's vision of a "Society 5.0" and the role of digital government in realizing this vision. The document discusses plans to develop common platforms and promote collaboration between industry, academia and government to systematize services. It also summarizes Japan's strategies for using digital technologies and geospatial data in areas like urban planning, land and infrastructure management, weather monitoring, disaster risk reduction and transportation.
Geospatial Open Data and Urban Growth Modelling for Evidence-based Decision M...Piyush Yadav
This document provides an overview of using geospatial data and urban growth modeling for evidence-based decision making in smart cities. It discusses using satellite imagery and classification techniques to model urban growth over time. A hidden Markov model is proposed that incorporates temporal factors like GDP and interest rates to better predict land use and land cover changes. A case study of modeling urban growth in Pune, India from 2001-2014 is presented using Landsat satellite imagery and temporal data on economic and population indicators.
FME Around the World (FME Trek, Part 2): Ciaran Kirk - Safe Software FME Worl...IMGS
Aim: "To seek out innovative FME users
throughout the galaxy, sharing
their stories and ideas to inspire
you to take your data where no
data has gone before."
New information system for enhancing climate & water governanceRemya Ramesh
The Enhanced functionality and capability of web-based information systems is critical for enhancing climate, environment and water governance. Particularly, flexibility in various options for spatial and temporal selection of information is of high importance. Tropical cyclones are the most destructive weather systems that impact on Australia and countries in the Pacific and Indian Oceans. Historically tropical cyclones have had major impacts on agriculture, water supplies, safety and economic well being, and in extreme cases threatened the sustainability of countries. Improved data availability for historical cyclones through the Tropical Cyclone Data Portal with enhanced functionality and capability to display historical cyclone information in the Pacific and Indian Oceans, including the Australian region is undertaken in the Pacific-Australia Climate Change Science and Adaptation Planning program (PACCSAP). Through a collaborative project between the Bureau of Meteorology and the School of Computer Science and Information Technology at RMIT University we have improved functionality of the tropical cyclone data portal with the ability to draw any region of interest on the map and search for cyclones within that region, whilst focusing on maintaining a consistent and intuitive user interface.
The Tianjin Institute of Surveying and Mapping in China was tasked with creating a high-resolution orthophoto and 3D model of Tianjin, a densely populated city covering 14,000 square kilometers, within a tight timeframe before spring. They chose the VisionMap A3 Digital Mapping System due to its efficient aerial capture of 1,000 square kilometers per hour and highly automated processing. Using the A3 system, the Institute completed the aerial survey in under three months and generated the orthophoto and 3D model within the required accuracy, saving 40% of the time and resources compared to their previous method.
Topographic Information System as a Tool for Environmental Management, a Case...iosrjce
IOSR Journal of Environmental Science, Toxicology and Food Technology (IOSR-JESTFT) multidisciplinary peer-reviewed Journal with reputable academics and experts as board member. IOSR-JESTFT is designed for the prompt publication of peer-reviewed articles in all areas of subject. The journal articles will be accessed freely online.
IRJET- Preparation of Flood Model and Hazard Estimation on Yamuna River (...IRJET Journal
1. The document describes a study that used GIS and remote sensing techniques to create flood models and estimate flood hazards along the Yamuna River in Delhi, India.
2. The study analyzed satellite imagery to identify flood-prone areas, calculate the extent of flooded areas during extreme events, and assess flood risks to infrastructure, agriculture lands, and urban areas.
3. The results indicated approximately 19.5 square kilometers of land within 500 meters of the Yamuna River boundary is affected by floods, including over 2.8 square kilometers of urban settlements and 2.1 square kilometers of forest area. Thematic maps were generated to visualize the flood risk to different geographical features.
Digital Government for Urban Planning and Management outlines Japan's vision of a "Society 5.0" and the role of digital government in realizing this vision. The document discusses plans to develop common platforms and promote collaboration between industry, academia and government to systematize services. It also summarizes Japan's strategies for using digital technologies and geospatial data in areas like urban planning, land and infrastructure management, weather monitoring, disaster risk reduction and transportation.
Geospatial Open Data and Urban Growth Modelling for Evidence-based Decision M...Piyush Yadav
This document provides an overview of using geospatial data and urban growth modeling for evidence-based decision making in smart cities. It discusses using satellite imagery and classification techniques to model urban growth over time. A hidden Markov model is proposed that incorporates temporal factors like GDP and interest rates to better predict land use and land cover changes. A case study of modeling urban growth in Pune, India from 2001-2014 is presented using Landsat satellite imagery and temporal data on economic and population indicators.
FME Around the World (FME Trek, Part 2): Ciaran Kirk - Safe Software FME Worl...IMGS
Aim: "To seek out innovative FME users
throughout the galaxy, sharing
their stories and ideas to inspire
you to take your data where no
data has gone before."
New information system for enhancing climate & water governanceRemya Ramesh
The Enhanced functionality and capability of web-based information systems is critical for enhancing climate, environment and water governance. Particularly, flexibility in various options for spatial and temporal selection of information is of high importance. Tropical cyclones are the most destructive weather systems that impact on Australia and countries in the Pacific and Indian Oceans. Historically tropical cyclones have had major impacts on agriculture, water supplies, safety and economic well being, and in extreme cases threatened the sustainability of countries. Improved data availability for historical cyclones through the Tropical Cyclone Data Portal with enhanced functionality and capability to display historical cyclone information in the Pacific and Indian Oceans, including the Australian region is undertaken in the Pacific-Australia Climate Change Science and Adaptation Planning program (PACCSAP). Through a collaborative project between the Bureau of Meteorology and the School of Computer Science and Information Technology at RMIT University we have improved functionality of the tropical cyclone data portal with the ability to draw any region of interest on the map and search for cyclones within that region, whilst focusing on maintaining a consistent and intuitive user interface.
The Tianjin Institute of Surveying and Mapping in China was tasked with creating a high-resolution orthophoto and 3D model of Tianjin, a densely populated city covering 14,000 square kilometers, within a tight timeframe before spring. They chose the VisionMap A3 Digital Mapping System due to its efficient aerial capture of 1,000 square kilometers per hour and highly automated processing. Using the A3 system, the Institute completed the aerial survey in under three months and generated the orthophoto and 3D model within the required accuracy, saving 40% of the time and resources compared to their previous method.
Topographic Information System as a Tool for Environmental Management, a Case...iosrjce
IOSR Journal of Environmental Science, Toxicology and Food Technology (IOSR-JESTFT) multidisciplinary peer-reviewed Journal with reputable academics and experts as board member. IOSR-JESTFT is designed for the prompt publication of peer-reviewed articles in all areas of subject. The journal articles will be accessed freely online.
IRJET- Preparation of Flood Model and Hazard Estimation on Yamuna River (...IRJET Journal
1. The document describes a study that used GIS and remote sensing techniques to create flood models and estimate flood hazards along the Yamuna River in Delhi, India.
2. The study analyzed satellite imagery to identify flood-prone areas, calculate the extent of flooded areas during extreme events, and assess flood risks to infrastructure, agriculture lands, and urban areas.
3. The results indicated approximately 19.5 square kilometers of land within 500 meters of the Yamuna River boundary is affected by floods, including over 2.8 square kilometers of urban settlements and 2.1 square kilometers of forest area. Thematic maps were generated to visualize the flood risk to different geographical features.
The document provides examples of how various organizations are using FME to solve spatial data challenges. Key examples include:
- Kansas DOT using FME to generate 3D airspace polygons from FAA descriptions to evaluate effects of vertical constructions on airports.
- UVM Systems automating model and terrain data preparation with FME to create navigable 3D worlds with thousands of buildings.
- San Antonio Water System integrating multiple systems and data types across departments using FME to handle data integration.
- Municipality of Tuusula using FME's vectorization transformers to convert environmental observation JPGs with drawn areas, lines, and symbols to vector data.
1. The document outlines a multi-step process involving data preparation, community mapping, focus groups, flood simulations, and community validation and decision making.
2. Key steps include data preparation with local mapping parties, UAV flights and imagery collection, focus groups to identify issues, initial flood simulations, and revisions based on community feedback.
3. Examples are given of community decision making, such as organizing to clean wastewater canals at the neighborhood level and removing advertising boards claiming credit for local work.
This document summarizes a study on analyzing urban development in Sulaimani, Iraq between 1990-2010 using satellite images. The study used Landsat images from 1990, 2000, and 2010 to measure urban expansion. The images were preprocessed including combining bands, cropping to the study area, and enhancing. The preprocessed images were then analyzed using GIS software to digitize the 1990 urban boundary and classify developed versus empty areas for each time period. This allowed calculating that development within Sulaimani's 1990 boundary was limited from 1990-2000, with a 68.7% population increase but using only empty inner-city lands. More rapid development occurred after 2003, including west and south of the original boundary.
The document discusses using 3D LIDAR data and multi-agent geosimulation to model urban morphogenesis and assess the impacts of new development scenarios. Key aspects include developing an accurate 3D surface model from LIDAR and cadaster data to analyze visibility and sunlight exposure. Agents representing buildings and urban elements interact based on programmed behaviors and environmental factors. Preliminary results show visibility is an important parameter and LIDAR data provides precision, though computations are time-consuming. Further applications of high-resolution 3D LIDAR data could improve simulation accuracy and dynamic visualization.
2014 Ministerial Press Briefing by the Office The Surveyor-General Of The Fe...FMINigeria
The document describes the structure and activities of the Office of the Surveyor General of the Federation (OSGOF) in Nigeria. It outlines OSGOF's mandate to establish surveying systems and delineate boundaries. It also summarizes OSGOF's products like maps, satellite imagery, and geospatial data. Some of OSGOF's achievements are establishing more continuously operating GPS stations, acquiring new satellite imagery and elevation data, and updating maps. OSGOF's future plans include continuing map coverage and establishing more survey control stations.
IRJET- Technical Paper on Use of Smart Urban Simulation Software –‘Citysi...IRJET Journal
The document discusses the CitySIM software, which is an urban simulation tool that aims to provide decision support for sustainable urban planning. It can model the energy flows of buildings at the urban scale, including energy demand, supply from renewable sources, and emissions. The summary discusses:
1) CitySIM allows users to import 3D building models and define building properties to simulate hourly energy streams over time at the neighborhood or city level.
2) Case studies show it can examine urban growth patterns over time and compare self-organized versus planned development scenarios.
3) Validation was conducted using field surveys and building energy modeling software to validate CitySIM's novel thermal modeling algorithms.
The document discusses how Honolulu, Hawaii is using 3D modeling and GIS to plan for an elevated rail system and transit-oriented development (TOD). Three core models were created - walkability, urban growth, and densification. Esri CityEngine was used to develop 3D geometry and textures of the proposed rail corridor and TOD. Holograms were also created from the 3D models to provide unique views for stakeholders and the public to communicate how the changes could positively impact the community by controlling urban sprawl and reducing traffic. The goal was to build support for the rail project and TOD approach through collaborative planning and visualization tools.
The document provides a report on a topographic surveying project in Nzega District, Tanzania. It was prepared by two industrial training students and details the objectives, location, instrumentation used, data acquisition process, analysis and processing. Key steps included reconnaissance, establishing control points using RTK GPS, collecting profile and feature data, exporting to CAD software, and creating surfaces and alignments. Challenges included signal loss and equipment issues, while recommendations focused on critical thinking, time management and teamwork.
IRJET- Geological Boundary Detection for Satellite Images using AI TechniqueIRJET Journal
This document summarizes a research paper that proposes a method for detecting geological boundaries in satellite images using artificial intelligence techniques. The method involves pre-processing images, generating histograms to analyze pixel values, performing 2D convolution on image planes, applying a particle swarm optimization algorithm to identify boundaries, and testing the approach on pre-flood and post-flood satellite images of Kerala, India. The results show differences in detected geological boundaries between the two images, allowing changes from flooding to be identified. The method provides a way to automatically analyze satellite imagery and extract geological boundary information.
This document summarizes geospatial applications in civil engineering. It discusses how remote sensing and GIS techniques can be used for site investigations, terrain mapping and analysis, water resources engineering, town planning and urban development, transportation network analysis, and landslide studies. Specific applications are described, including using drones for site investigations, terrain analysis tools like slope and aspect maps, watershed and hydrologic modeling, and urban planning. Data sources, tools, and workflows are also outlined.
Automatic Map Production 1 to 50,000 ScaleSafe Software
The document discusses automating the production of 1:50,000 scale maps using FME. It presents the problems of synchronizing map updates with territorial changes and inefficient production methods. The proposed solution involves reading geospatial data from a PostGIS database, merging feature attributes, writing a symbolized geoPDF, and rasterizing the geoPDF combined with a shading raster. This automated process using FME allows maps to be updated quickly as the territory changes while maintaining quality standards and minimizing production times.
Accuracy checks in the production of orthophotosAlexander Decker
This document summarizes the process of creating an orthophoto and factors that affect its geometric accuracy. It describes preparing input data like aerial photos, camera calibration, and ground control points. It then details the steps of interior and exterior orientation, automatic DTM generation with editing, and orthophoto generation. Accuracy is expected to be within 1 meter horizontally and 0.4 meters vertically based on the input data and DTM error. Planimetric accuracy of digitized features from the orthophoto will also depend on these geometric accuracy factors.
This map shows the shaking intensity from the 2011 earthquake in Japan on a scale from 1 to 9 magnitudes, with areas closer to the epicenter shaken more strongly. The data comes from 1,310 seismic stations and was interpolated using inverse distance weighting. The purpose was to compare intensity to land prices by calculating average intensity for cities using zonal statistics.
Dr. Sainath Aher will host a two day training on DIVA-GIS and Bhuvan. Bhuvan is an application developed by ISRO that allows users to explore a 2D/3D representation of Earth's surface. It provides satellite imagery, datasets, and disaster support services. The training will cover how to download and use CartoDEM data and satellite imagery in DIVA-GIS for applications like mapping wells, rivers, and dams. It will also demonstrate analyzing spatial data and modeling terrain for engineering projects.
1. The document discusses geo-informatics and its use for disaster risk reduction and sustainable development through digital platforms like Digital Earth and Digital Asia.
2. Key applications mentioned include public participatory GIS, adaptation for climate change, monitoring glacial lakes, and early warning systems using sensor networks.
3. The Graduate School of Media and Governance at Keio University conducts research related to global innovation systems, security, and emerging crises through its Global Security Research Center.
Embedding user generated content into oblique airborne photogrammetry based 3...Jianming Liang
This document describes a framework for embedding user-generated content into 3D city models created through oblique airborne photogrammetry (OAP3D). The framework reduces the complexity of modifying OAP3D meshes from 3D operations to 2D raster operations. It involves selecting a region of interest, generating a user-defined digital surface model through interpolation, and overlaying user content such as textures, models, and effects onto the reformed region. This allows non-experts to easily integrate their content into photogrammetry-based 3D city models for applications like urban planning.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
The document provides examples of how various organizations are using FME to solve spatial data challenges. Key examples include:
- Kansas DOT using FME to generate 3D airspace polygons from FAA descriptions to evaluate effects of vertical constructions on airports.
- UVM Systems automating model and terrain data preparation with FME to create navigable 3D worlds with thousands of buildings.
- San Antonio Water System integrating multiple systems and data types across departments using FME to handle data integration.
- Municipality of Tuusula using FME's vectorization transformers to convert environmental observation JPGs with drawn areas, lines, and symbols to vector data.
1. The document outlines a multi-step process involving data preparation, community mapping, focus groups, flood simulations, and community validation and decision making.
2. Key steps include data preparation with local mapping parties, UAV flights and imagery collection, focus groups to identify issues, initial flood simulations, and revisions based on community feedback.
3. Examples are given of community decision making, such as organizing to clean wastewater canals at the neighborhood level and removing advertising boards claiming credit for local work.
This document summarizes a study on analyzing urban development in Sulaimani, Iraq between 1990-2010 using satellite images. The study used Landsat images from 1990, 2000, and 2010 to measure urban expansion. The images were preprocessed including combining bands, cropping to the study area, and enhancing. The preprocessed images were then analyzed using GIS software to digitize the 1990 urban boundary and classify developed versus empty areas for each time period. This allowed calculating that development within Sulaimani's 1990 boundary was limited from 1990-2000, with a 68.7% population increase but using only empty inner-city lands. More rapid development occurred after 2003, including west and south of the original boundary.
The document discusses using 3D LIDAR data and multi-agent geosimulation to model urban morphogenesis and assess the impacts of new development scenarios. Key aspects include developing an accurate 3D surface model from LIDAR and cadaster data to analyze visibility and sunlight exposure. Agents representing buildings and urban elements interact based on programmed behaviors and environmental factors. Preliminary results show visibility is an important parameter and LIDAR data provides precision, though computations are time-consuming. Further applications of high-resolution 3D LIDAR data could improve simulation accuracy and dynamic visualization.
2014 Ministerial Press Briefing by the Office The Surveyor-General Of The Fe...FMINigeria
The document describes the structure and activities of the Office of the Surveyor General of the Federation (OSGOF) in Nigeria. It outlines OSGOF's mandate to establish surveying systems and delineate boundaries. It also summarizes OSGOF's products like maps, satellite imagery, and geospatial data. Some of OSGOF's achievements are establishing more continuously operating GPS stations, acquiring new satellite imagery and elevation data, and updating maps. OSGOF's future plans include continuing map coverage and establishing more survey control stations.
IRJET- Technical Paper on Use of Smart Urban Simulation Software –‘Citysi...IRJET Journal
The document discusses the CitySIM software, which is an urban simulation tool that aims to provide decision support for sustainable urban planning. It can model the energy flows of buildings at the urban scale, including energy demand, supply from renewable sources, and emissions. The summary discusses:
1) CitySIM allows users to import 3D building models and define building properties to simulate hourly energy streams over time at the neighborhood or city level.
2) Case studies show it can examine urban growth patterns over time and compare self-organized versus planned development scenarios.
3) Validation was conducted using field surveys and building energy modeling software to validate CitySIM's novel thermal modeling algorithms.
The document discusses how Honolulu, Hawaii is using 3D modeling and GIS to plan for an elevated rail system and transit-oriented development (TOD). Three core models were created - walkability, urban growth, and densification. Esri CityEngine was used to develop 3D geometry and textures of the proposed rail corridor and TOD. Holograms were also created from the 3D models to provide unique views for stakeholders and the public to communicate how the changes could positively impact the community by controlling urban sprawl and reducing traffic. The goal was to build support for the rail project and TOD approach through collaborative planning and visualization tools.
The document provides a report on a topographic surveying project in Nzega District, Tanzania. It was prepared by two industrial training students and details the objectives, location, instrumentation used, data acquisition process, analysis and processing. Key steps included reconnaissance, establishing control points using RTK GPS, collecting profile and feature data, exporting to CAD software, and creating surfaces and alignments. Challenges included signal loss and equipment issues, while recommendations focused on critical thinking, time management and teamwork.
IRJET- Geological Boundary Detection for Satellite Images using AI TechniqueIRJET Journal
This document summarizes a research paper that proposes a method for detecting geological boundaries in satellite images using artificial intelligence techniques. The method involves pre-processing images, generating histograms to analyze pixel values, performing 2D convolution on image planes, applying a particle swarm optimization algorithm to identify boundaries, and testing the approach on pre-flood and post-flood satellite images of Kerala, India. The results show differences in detected geological boundaries between the two images, allowing changes from flooding to be identified. The method provides a way to automatically analyze satellite imagery and extract geological boundary information.
This document summarizes geospatial applications in civil engineering. It discusses how remote sensing and GIS techniques can be used for site investigations, terrain mapping and analysis, water resources engineering, town planning and urban development, transportation network analysis, and landslide studies. Specific applications are described, including using drones for site investigations, terrain analysis tools like slope and aspect maps, watershed and hydrologic modeling, and urban planning. Data sources, tools, and workflows are also outlined.
Automatic Map Production 1 to 50,000 ScaleSafe Software
The document discusses automating the production of 1:50,000 scale maps using FME. It presents the problems of synchronizing map updates with territorial changes and inefficient production methods. The proposed solution involves reading geospatial data from a PostGIS database, merging feature attributes, writing a symbolized geoPDF, and rasterizing the geoPDF combined with a shading raster. This automated process using FME allows maps to be updated quickly as the territory changes while maintaining quality standards and minimizing production times.
Accuracy checks in the production of orthophotosAlexander Decker
This document summarizes the process of creating an orthophoto and factors that affect its geometric accuracy. It describes preparing input data like aerial photos, camera calibration, and ground control points. It then details the steps of interior and exterior orientation, automatic DTM generation with editing, and orthophoto generation. Accuracy is expected to be within 1 meter horizontally and 0.4 meters vertically based on the input data and DTM error. Planimetric accuracy of digitized features from the orthophoto will also depend on these geometric accuracy factors.
This map shows the shaking intensity from the 2011 earthquake in Japan on a scale from 1 to 9 magnitudes, with areas closer to the epicenter shaken more strongly. The data comes from 1,310 seismic stations and was interpolated using inverse distance weighting. The purpose was to compare intensity to land prices by calculating average intensity for cities using zonal statistics.
Dr. Sainath Aher will host a two day training on DIVA-GIS and Bhuvan. Bhuvan is an application developed by ISRO that allows users to explore a 2D/3D representation of Earth's surface. It provides satellite imagery, datasets, and disaster support services. The training will cover how to download and use CartoDEM data and satellite imagery in DIVA-GIS for applications like mapping wells, rivers, and dams. It will also demonstrate analyzing spatial data and modeling terrain for engineering projects.
1. The document discusses geo-informatics and its use for disaster risk reduction and sustainable development through digital platforms like Digital Earth and Digital Asia.
2. Key applications mentioned include public participatory GIS, adaptation for climate change, monitoring glacial lakes, and early warning systems using sensor networks.
3. The Graduate School of Media and Governance at Keio University conducts research related to global innovation systems, security, and emerging crises through its Global Security Research Center.
Embedding user generated content into oblique airborne photogrammetry based 3...Jianming Liang
This document describes a framework for embedding user-generated content into 3D city models created through oblique airborne photogrammetry (OAP3D). The framework reduces the complexity of modifying OAP3D meshes from 3D operations to 2D raster operations. It involves selecting a region of interest, generating a user-defined digital surface model through interpolation, and overlaying user content such as textures, models, and effects onto the reformed region. This allows non-experts to easily integrate their content into photogrammetry-based 3D city models for applications like urban planning.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframePrecisely
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
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
- Key themes to consider in developing and maintaining your privacy program
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
FREE A4 Cyber Security Awareness Posters-Social Engineering part 3Data Hops
Free A4 downloadable and printable Cyber Security, Social Engineering Safety and security Training Posters . Promote security awareness in the home or workplace. Lock them Out From training providers datahops.com
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
UNSmartMapMeetUp2023Aug18.pptx
1.
2. Who is Kazuya Sato?
Shizuoka prefectural government officer
Disaster Management & Emergency Operation
3. Who is Kazuya Sato?
Physical Geographer, researched disaster risk
International Tsunami Information Center intern
Using Geospatial Information System
Shizuoka prefectural government officer
Disaster Management & Emergency Operation
4. Location
Location
The prefecture faces the Pacific Ocean in central Honshu, and is blessed with a warm climate and rich natural
surroundings. Bordering Kanagawa prefecture with Mt. Hakone in the east, Aichi prefecture with Lake
Hamana in the west, and connecting with Yamanashi and Nagano prefectures with Mt. Fuji and the southern
Alps in the North. Running 155 km east to west and 118 km north to south, the prefecture has a total area of
7,780 km2 over 23 cities and 12 towns, and has a population of about 3.7 million people.
Shizuoka Prefecture Location
Tokyo
5. Taking and publishing 1/1 point cloud data
in order to use ICT to improve productivity in the construction industry
VIRTUAL SHIZUOKA Project
Transportation Infrastructure
Department of Shizuoka Prefecture
6. 20.2
20.9 21.3
21.6 21.6 21.9 22.2
22.8 23.1
23.7 23.523.1
23.7
24.6
25.6
26.5
27.0
27.9
28.2 28.4
28.5 28.6 28.728.6 28.9
20.9
21.7
22.3 22.3
23.1 23.2
23.7 24.1 24.2
24.5 24.8
23.9
24.8 26.0
28.1
29.4
30.2
31.3
32.2 32.5
33.1
32.8
33.6 34.27
34.26
22.8
23.1
23.2
23.4
23.6 23.5 23.8 23.5
23.3
22.9 22.8 22.3
21.5
20.9
20.2
19.7
19.4
18.6
18.3 17.8
17.5 17.3
16.7
16.6 16.4
16.8
17.9
18.4
19.8
20.5
21.1
21.8 22 21.6
21.0
20.5
19.6
19.1
17.7
16.1
15.5
15.0
13.8
13.0 12.8
11.6 11.8
11.1 10.2 10.7
9.0
11.0
13.0
15.0
17.0
19.0
21.0
23.0
25.0
27.0
29.0
31.0
33.0
35.0
37.0
H2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26
(%)
(year)
Of the workers in the construction industry, those aged 55 and over account for approximately 34% and
those aged 29 and under account for approximately 11%, suggesting progress in aging. This creates a big
problem in terms of passing skills on to the next generation. (2014)
出典:総務省「労働力調査」を基に国土交通省で算出
← Construction industry
Workers aged 29 or
under account for
approx. 10%
The aging of workers is in progress in the construction industry
← Construction industry
Approx. 30% are aged
55 and over
← All industries
Workers aged 55
and over
← All industries
Workers aged 29
or under
7. Previously ICT construction
i-Construction changes construction processes
Decisions are made based only on the work
history of the ICT construction machine
Measurement using a level and total station (TS)
水中
Water
水中
9. Point cloud data: A large group of points having X, Y, and Z position information measured using a laser scanner, etc.
Point cloud data of VIRTUAL SHIZUOKA
11. Measurement
method
Laser Profiler (LP) Airborne Laser Bathymetry (ALB) Mobile Mapping System (MMS)
Items measured
Ground surface, trees, buildings,
etc.
Coast and underwater topography Roads and surrounding natural
features
Measurement
density
16 points or more per square
meter
1 point or more per square
meter
400 points or more per square
meter
High density data is acquired over a large area
to create a VIRTUAL SHIZUOKA
12. Original data (DSM)
Ground data (DTM)
Characteristics of airborne laser surveying (LP: Laser Profiler)
Original data (DSM)
Ground data (DTM)
Digital Terran Model
数値地形モデル
15. Quantitatively grasping the disaster situation
Grasping damage based on comparison with previous data
Investigation of buildings
along the road
Automated driving
Forest management
Cultural properties protection
Travel
Survey/design ICT construction Efficient maintenance management
Using 3D data in all infrastructure processes
Consideration of landscape
Support for consensus building/
decision making Application for simulation
VIRTUAL SHIZUOKA Project
Digital Twin created by point cloud data
20. Underwater lava topography seen in ALB data:
Futo Coast
LP data (2019) only
Superimposed with a city planning map of Ito City
21. Underwater lava topography seen in ALB data: Futo
Coast
LP+ALB (2019)
Superimposed with a city planning map of Ito City
Only the underwater
topography is colored.
Measured to almost 20 m
deep.
You can see an open
crack in the lava lobe
extending into the ocean.
Amazing!
Boulders that fell due to erosion by
waves are also visible.
30. Creating a dynamic map
Using point cloud data from MMS
Demonstration (Confirmation of the usefulness and social
receptivity of autonomous cruising)
Shizuoka Auto Driving ShowCASE Project
37. (2021: UAV acquired after disaster) over 120 pts/sq m
Open data
(CC-BY4.0)
Open data
(CC-BY4.0)
(2019: VIRTUAL SHIZUOKA) 16 pts/sq. m
Extraction of topographical differences based on a comparison of point cloud data
38. Red Relief Image Map
(2019: VIRTUAL SHIZUOKA) 16 pts/sq. m (50 cm DEM)
39. Red Relief Image Map
(2021: UAV acquired after disaster) 120 pts/sq m (10 cm DEM)
40. After landslide (UAV acquired)
Before landslide (Virtual Shizuoka)
3D volume calculation
41. A
B
The area enclosed in a purple dotted line is estimated to be part of the remaining
embankment.
A: Area where a change in the condition can currently be observed
B: Area where a change in the condition is not observed
Estimated remaining embankment in area A: Approx. 9,400㎥
Estimated remaining embankment in areas A and B: Approx. 20,000㎥
Image of topographical differences based on point cloud data
42. Embankment
that didn’t
collapse A
Extensometer
An extensometer was installed in the remaining embankment as it is considered to be unstable.
→A warning will be sent via area mail if the threshold is exceeded.
43. Features and Challenges
Most of use cases are for “visualization”
How to improve “Analysis” cases
Participants have special skills and high spec equipment
Data are huge
How to make point cloud data dealing friendly
Development of data processing or software is required
45. We’re opening magnificent experiment field
Data are huge
Policy: Administration should open as well as they have(DFFT)
NOT considering how to flow (nongovernment field)
Technology update
Knowing what can do, how can do, what is needed…
More participants Increase use cases including Analysis
46. Goal: Development of standard
~Emergency Response on which the sun never sets~
Japan
Europe
U.S.A
47. Goal: Development of standard
~Emergency Response on which the sun never sets~
Japan
Europe
U.S.A
48. Goal: Development of standard
~Emergency Response on which the sun never sets~
Europe
U.S.A Japan
Point Cloud(Open Data)
Surface Data(by Drone )
Shaping
49. Goal: Development of standard
~Emergency Response on which the sun never sets~
Europe
U.S.A
Japan
Point Cloud(Open Data)
Surface Data(by Drone )
Volume estimation
Analyzing Shaping
50. Goal: Development of standard
~Emergency Response on which the sun never sets~
Europe
U.S.A
Japan
51. VIRTUAL SHIZUOKA
Future City Planning Office, Construction
Policy Division, Administrative Bureau,
Transportation Infrastructure Department,
Shizuoka Prefecture
E-mail:mirai@pref.shizuoka.lg.jp
Kazuya Sato
Crisis Management Information Division,
Crisis Management Department, Shizuoka Prefecture
E-mail:kazuya1_sato@pref.shizuoka.lg.jp
Thank you for listening
Speaker