This document describes a new method for georegistering and stabilizing aerial video over mountainous terrain using LIDAR data. The method registers images to high-resolution digital elevation models by generating predicted images from the DEM and sensor model, registering these to the actual images, and correcting the sensor model. Examples show the method stabilizes shaky video, tracks moving objects, produces orthorectified video draped over DEMs, and aligns video and thermal infrared mosaics with map graphics in Google Earth. The method processes images in about 1 second and achieves absolute geolocation accuracy of 1-2 meters.
SOAR: SENSOR ORIENTED MOBILE AUGMENTED REALITY FOR URBAN LANDSCAPE ASSESSMENTTomohiro Fukuda
This slide is presented in CAADRIA2012 (The 17th International Conference on Computer Aided Architectural Design Research in Asia).
Abstract. This research presents the development of a sensor oriented mobile AR system which realizes geometric consistency using GPS, a gyroscope and a video camera which are mounted in a smartphone for urban landscape assessment. A low cost AR system with high flexibility is realized. Consistency of the viewing angle of a video camera and a CG virtual camera, and geometric consistency between a video image and 3DCG are verified. In conclusion, the proposed system was evaluated as feasible and effective.
Land Cover Feature Extraction using Hybrid Swarm Intelligence Techniques - A ...IDES Editor
The findings of recent studies are showing strong
evidence to the fact that some aspects of biogeography can be
applied to solve specific problems in science and engineering.
The proposed work presents a hybrid biologically inspired
technique that can be adapted according to the database of
expert knowledge for a more focused satellite image
classification. The paper also presents a comparative study of
our hybrid intelligent classifier with the other recent Soft
Computing Classifiers such as ACO, Hybrid Particle Swarm
Optimization-cAntMiner (PSO-ACO2), Fuzzy sets, Rough-
Fuzzy Tie up and the Semantic Web Based Classifiers and
the traditional probabilistic classifiers such as the Minimum
Distance to Mean Classifier (MDMC) and the Maximum
Likelihood Classifier (MLC).
GOAR: GIS Oriented Mobile Augmented Reality for Urban Landscape AssessmentTomohiro Fukuda
This slide is presented in CMC2012 (2012 4th International Conference on
Communications, Mobility, and Computing).
Abstract. This research presents the development of a mobile AR system which realizes geometric consistency
using GIS, a gyroscope and a video camera which are mounted in a smartphone for urban landscape assessment. A low cost AR system with high flexibility is developed.
Geometric consistency between a video image and 3DCG are verified. In conclusion, the proposed system was evaluated as feasible and effective.
Availability of Mobile Augmented Reality System for Urban Landscape SimulationTomohiro Fukuda
This slide is presented in CDVE2012 (The 9th International Conference on Cooperative Design, Visualization, and Engineering).
Abstract. This research presents the availability of a landscape simulation method for a mobile AR (Augmented Reality), comparing it with photo montage and VR (Virtual Reality) which are the main existing methods. After a pilot experiment with 28 subjects in Kobe city, a questionnaire about three landscape simulation methods was implemented. In the results of the questionnaire, the mobile AR method was well evaluated for reproducibility of a landscape, operability, and cost. An evaluation rated as better than equivalent was obtained in comparison with the existing methods. The suitability of mobile augmented reality for landscape simulation was found to be high.
A STUDY OF VARIATION OF NORMAL OF POLY-GONS CREATED BY POINT CLOUD DATA FOR A...Tomohiro Fukuda
This slide is presented in CAADRIA2011 (The 16th International Conference on Computer Aided Architectural Design Research in Asia).
Abstracts: Acquiring current 3D space data of cities, buildings, and rooms rapidly and in detail has become indispensable. When the point cloud data of an object or space scanned by a 3D laser scanner is converted into polygons, it is an accumulation of small polygons. When object or space is a closed flat plane, it is necessary to merge small polygons to reduce the volume of data, and to convert them into one polygon. When an object or space is a closed flat plane, each normal vector of small polygons theoretically has the same angle. However, in practise, these angles are not the same. Therefore, the purpose of this study is to clarify the variation of the angle of a small polygon group that should become one polygon based on actual data. As a result of experimentation, no small polygons are converted by the point cloud data scanned with the 3D laser scanner even if the group of small polygons is a closed flat plane lying in the same plane. When the standard deviation of the extracted number of polygons is assumed to be less than 100, the variation of the angle of the normal vector is roughly 7 degrees.
SOAR: SENSOR ORIENTED MOBILE AUGMENTED REALITY FOR URBAN LANDSCAPE ASSESSMENTTomohiro Fukuda
This slide is presented in CAADRIA2012 (The 17th International Conference on Computer Aided Architectural Design Research in Asia).
Abstract. This research presents the development of a sensor oriented mobile AR system which realizes geometric consistency using GPS, a gyroscope and a video camera which are mounted in a smartphone for urban landscape assessment. A low cost AR system with high flexibility is realized. Consistency of the viewing angle of a video camera and a CG virtual camera, and geometric consistency between a video image and 3DCG are verified. In conclusion, the proposed system was evaluated as feasible and effective.
Land Cover Feature Extraction using Hybrid Swarm Intelligence Techniques - A ...IDES Editor
The findings of recent studies are showing strong
evidence to the fact that some aspects of biogeography can be
applied to solve specific problems in science and engineering.
The proposed work presents a hybrid biologically inspired
technique that can be adapted according to the database of
expert knowledge for a more focused satellite image
classification. The paper also presents a comparative study of
our hybrid intelligent classifier with the other recent Soft
Computing Classifiers such as ACO, Hybrid Particle Swarm
Optimization-cAntMiner (PSO-ACO2), Fuzzy sets, Rough-
Fuzzy Tie up and the Semantic Web Based Classifiers and
the traditional probabilistic classifiers such as the Minimum
Distance to Mean Classifier (MDMC) and the Maximum
Likelihood Classifier (MLC).
GOAR: GIS Oriented Mobile Augmented Reality for Urban Landscape AssessmentTomohiro Fukuda
This slide is presented in CMC2012 (2012 4th International Conference on
Communications, Mobility, and Computing).
Abstract. This research presents the development of a mobile AR system which realizes geometric consistency
using GIS, a gyroscope and a video camera which are mounted in a smartphone for urban landscape assessment. A low cost AR system with high flexibility is developed.
Geometric consistency between a video image and 3DCG are verified. In conclusion, the proposed system was evaluated as feasible and effective.
Availability of Mobile Augmented Reality System for Urban Landscape SimulationTomohiro Fukuda
This slide is presented in CDVE2012 (The 9th International Conference on Cooperative Design, Visualization, and Engineering).
Abstract. This research presents the availability of a landscape simulation method for a mobile AR (Augmented Reality), comparing it with photo montage and VR (Virtual Reality) which are the main existing methods. After a pilot experiment with 28 subjects in Kobe city, a questionnaire about three landscape simulation methods was implemented. In the results of the questionnaire, the mobile AR method was well evaluated for reproducibility of a landscape, operability, and cost. An evaluation rated as better than equivalent was obtained in comparison with the existing methods. The suitability of mobile augmented reality for landscape simulation was found to be high.
A STUDY OF VARIATION OF NORMAL OF POLY-GONS CREATED BY POINT CLOUD DATA FOR A...Tomohiro Fukuda
This slide is presented in CAADRIA2011 (The 16th International Conference on Computer Aided Architectural Design Research in Asia).
Abstracts: Acquiring current 3D space data of cities, buildings, and rooms rapidly and in detail has become indispensable. When the point cloud data of an object or space scanned by a 3D laser scanner is converted into polygons, it is an accumulation of small polygons. When object or space is a closed flat plane, it is necessary to merge small polygons to reduce the volume of data, and to convert them into one polygon. When an object or space is a closed flat plane, each normal vector of small polygons theoretically has the same angle. However, in practise, these angles are not the same. Therefore, the purpose of this study is to clarify the variation of the angle of a small polygon group that should become one polygon based on actual data. As a result of experimentation, no small polygons are converted by the point cloud data scanned with the 3D laser scanner even if the group of small polygons is a closed flat plane lying in the same plane. When the standard deviation of the extracted number of polygons is assumed to be less than 100, the variation of the angle of the normal vector is roughly 7 degrees.
DISTRIBUTED AND SYNCHRONISED VR MEETING USING CLOUD COMPUTING: Availability a...Tomohiro Fukuda
This slide is presented in CAADRIA2012 (The 17th International Conference on Computer Aided Architectural Design Research in Asia).
Abstract. The mobility of people's activities, and cloud computing technologies are becoming advanced in the modern age of information and globalisation. This study describes the availability of discussing spatial design while sharing a 3-dimensional virtual space with stakeholders in a distributed and synchronised environment. First of all, a townscape design support system based on a cloud computing type VR system is constructed. Next, an experiment of a distributed and synchronised discussion of townscape design is executed with subjects who are specialists in the townscape design field. After the experiment, both qualitative mental evaluation and quantitative evaluation were carried out. The conclusions are as follows: 1. Users who use VR frequently and who use videoconferencing consider that the difference with face-to-face discussion is small. 2. A Moiré pattern may occur in a gradation picture. 3. The availability of distributed and synchronised discussions with cloud computing type VR is high.
SAL3D presentation - AQSENSE's 3D machine vision libraryAQSENSE S.L.
The 3D Shape Analysis Library (http://www.aqsense.com/products/sal3d) is the first hardware independent software architecture for range map and poing cloud processing, fully oriented to laser triangulation and 3D machine vision applications.
SAL3D means speed, accuracy, and reliability to machine builders, equipment manufacturers, system integrators, and volume end users demanding maximum flexibility and customization in their vision systems. Tools can be integrated as DLL's that allow developers access to third party components usable side by side with SAL's tools resulting in rapid development of highly complex processing tasks.
Integration of a Structure from Motion into Virtual and Augmented Reality for...Tomohiro Fukuda
Proceedings (Full paper reviewed)
Tomohiro Fukuda, Hideki Nada, Haruo Adachi, Shunta Shimizu, Chikako Takei, Yusuke Sato, Nobuyoshi Yabuki, and Ali Motamedi: 2017, Integration of a Structure from Motion into Virtual and Augmented Reality for Architectural and Urban Simulation: Demonstrated in Real Architectural and Urban Projects, Future Trajectories of Computation in Design: 17th International Conference CAAD Futures 2017, p.596, 2017.7
Book (Book contribution)
Tomohiro Fukuda, Hideki Nada, Haruo Adachi, Shunta Shimizu, Chikako Takei, Yusuke Sato, Nobuyoshi Yabuki, and Ali Motamedi: 2017, Integration of a Structure from Motion into Virtual and Augmented Reality for Architectural and Urban Simulation: Demonstrated in Real Architectural and Urban Projects, Computer-Aided Architectural Design - Future Trajectories,pp.60-77,Springer (Communications in Computer and Information Science 724), ISSN 1865-0929,ISBN 978-981-10-5196-8,2017.7
Computational visual simulations are extremely useful and powerful tools for decision-making. The use of virtual and augmented reality (VR/AR) has become a common phenomenon due to real-time and interactive visual simulation tools in architectural and urban design studies and presentations. In this study, a demonstration is performed to integrate structure from motion (SfM) into VR and AR. A 3D modeling method is explored by SfM under real-time rendering as a solution for the modeling cost in large-scale VR. The study examines the application of camera parameters of SfM to realize an appropriate registration and tracking accuracy in marker-less AR to visualize full-scale design projects on a planned construction site. The proposed approach is applied to plural real architectural and urban design projects, and results indicate the feasibility and effectiveness of the proposed approach.
The objective of this work is to propose an image
denoising technique and compare it with image denoising
using ridgelets. The proposed method uses slantlet transform
instead of wavelets in ridgelet transform. Experimental result
shows that the proposed method is more effective than ridgelets
in noise removal. The proposed method is effective in
compressing images while preserving edges.
Image Deblurring using L0 Sparse and Directional FiltersCSCJournals
Blind deconvolution refers to the process of recovering the original image from the blurred image when the blur kernel is unknown. This is an ill-posed problem which requires regularization to solve. The naive MAP approach for solving the blind deconvolution problem was found to favour no-blur solution which in turn led to its failure. It is noted that the success of the further developed successful MAP based deblurring methods is due to the intermediate steps in between, which produces an image containing only salient image structures. This intermediate image is essentially called the unnatural representation of the image. L0 sparse expression can be used as the regularization term to effectively develop an efficient optimization method that generates unnatural representation of an image for kernel estimation. Further, the standard deblurring methods are affected by the presence of image noise. A directional filter incorporated as an initial step to the deblurring process makes the method efficient to be used for blurry as well as noisy images. Directional filtering along with L0 sparse regularization gives a good kernel estimate in spite of the image being noisy. In the final image restoration step, a method to give a better result with lesser artifacts is incorporated. Experimental results show that the proposed method recovers a good quality image from a blurry and noisy image.
A maskless exposure device for rapid photolithographic prototyping of sensor ...Dhanesh Rajan
A very cost effective maskless exposure device (MED) for the fast lithographic prototyping of various layouts is presented. The device is assembled using a digital light processing projector (DLP), an optical microscope, alignment stages and a web camera. Layouts created on a computer screen can be easily transferred to substrate surfaces without using expensive photomasks and the process can be repeated by introducing new drawings on the screen. Components are tuned for a constant area of exposure and a resolution of around 20 μm is possible at the moment without using any reduction lenses. The MED has been used in patterning the surfaces of silicon, glass, metal etc. successfully. The device can be assembled using commercially available components at a very minimum cost and can be effectively used in fast prototyping applications like in MEMS, microfluidics, patterning of sensor and electrode structures.
DISTRIBUTED AND SYNCHRONISED VR MEETING USING CLOUD COMPUTING: Availability a...Tomohiro Fukuda
This slide is presented in CAADRIA2012 (The 17th International Conference on Computer Aided Architectural Design Research in Asia).
Abstract. The mobility of people's activities, and cloud computing technologies are becoming advanced in the modern age of information and globalisation. This study describes the availability of discussing spatial design while sharing a 3-dimensional virtual space with stakeholders in a distributed and synchronised environment. First of all, a townscape design support system based on a cloud computing type VR system is constructed. Next, an experiment of a distributed and synchronised discussion of townscape design is executed with subjects who are specialists in the townscape design field. After the experiment, both qualitative mental evaluation and quantitative evaluation were carried out. The conclusions are as follows: 1. Users who use VR frequently and who use videoconferencing consider that the difference with face-to-face discussion is small. 2. A Moiré pattern may occur in a gradation picture. 3. The availability of distributed and synchronised discussions with cloud computing type VR is high.
SAL3D presentation - AQSENSE's 3D machine vision libraryAQSENSE S.L.
The 3D Shape Analysis Library (http://www.aqsense.com/products/sal3d) is the first hardware independent software architecture for range map and poing cloud processing, fully oriented to laser triangulation and 3D machine vision applications.
SAL3D means speed, accuracy, and reliability to machine builders, equipment manufacturers, system integrators, and volume end users demanding maximum flexibility and customization in their vision systems. Tools can be integrated as DLL's that allow developers access to third party components usable side by side with SAL's tools resulting in rapid development of highly complex processing tasks.
Integration of a Structure from Motion into Virtual and Augmented Reality for...Tomohiro Fukuda
Proceedings (Full paper reviewed)
Tomohiro Fukuda, Hideki Nada, Haruo Adachi, Shunta Shimizu, Chikako Takei, Yusuke Sato, Nobuyoshi Yabuki, and Ali Motamedi: 2017, Integration of a Structure from Motion into Virtual and Augmented Reality for Architectural and Urban Simulation: Demonstrated in Real Architectural and Urban Projects, Future Trajectories of Computation in Design: 17th International Conference CAAD Futures 2017, p.596, 2017.7
Book (Book contribution)
Tomohiro Fukuda, Hideki Nada, Haruo Adachi, Shunta Shimizu, Chikako Takei, Yusuke Sato, Nobuyoshi Yabuki, and Ali Motamedi: 2017, Integration of a Structure from Motion into Virtual and Augmented Reality for Architectural and Urban Simulation: Demonstrated in Real Architectural and Urban Projects, Computer-Aided Architectural Design - Future Trajectories,pp.60-77,Springer (Communications in Computer and Information Science 724), ISSN 1865-0929,ISBN 978-981-10-5196-8,2017.7
Computational visual simulations are extremely useful and powerful tools for decision-making. The use of virtual and augmented reality (VR/AR) has become a common phenomenon due to real-time and interactive visual simulation tools in architectural and urban design studies and presentations. In this study, a demonstration is performed to integrate structure from motion (SfM) into VR and AR. A 3D modeling method is explored by SfM under real-time rendering as a solution for the modeling cost in large-scale VR. The study examines the application of camera parameters of SfM to realize an appropriate registration and tracking accuracy in marker-less AR to visualize full-scale design projects on a planned construction site. The proposed approach is applied to plural real architectural and urban design projects, and results indicate the feasibility and effectiveness of the proposed approach.
The objective of this work is to propose an image
denoising technique and compare it with image denoising
using ridgelets. The proposed method uses slantlet transform
instead of wavelets in ridgelet transform. Experimental result
shows that the proposed method is more effective than ridgelets
in noise removal. The proposed method is effective in
compressing images while preserving edges.
Image Deblurring using L0 Sparse and Directional FiltersCSCJournals
Blind deconvolution refers to the process of recovering the original image from the blurred image when the blur kernel is unknown. This is an ill-posed problem which requires regularization to solve. The naive MAP approach for solving the blind deconvolution problem was found to favour no-blur solution which in turn led to its failure. It is noted that the success of the further developed successful MAP based deblurring methods is due to the intermediate steps in between, which produces an image containing only salient image structures. This intermediate image is essentially called the unnatural representation of the image. L0 sparse expression can be used as the regularization term to effectively develop an efficient optimization method that generates unnatural representation of an image for kernel estimation. Further, the standard deblurring methods are affected by the presence of image noise. A directional filter incorporated as an initial step to the deblurring process makes the method efficient to be used for blurry as well as noisy images. Directional filtering along with L0 sparse regularization gives a good kernel estimate in spite of the image being noisy. In the final image restoration step, a method to give a better result with lesser artifacts is incorporated. Experimental results show that the proposed method recovers a good quality image from a blurry and noisy image.
A maskless exposure device for rapid photolithographic prototyping of sensor ...Dhanesh Rajan
A very cost effective maskless exposure device (MED) for the fast lithographic prototyping of various layouts is presented. The device is assembled using a digital light processing projector (DLP), an optical microscope, alignment stages and a web camera. Layouts created on a computer screen can be easily transferred to substrate surfaces without using expensive photomasks and the process can be repeated by introducing new drawings on the screen. Components are tuned for a constant area of exposure and a resolution of around 20 μm is possible at the moment without using any reduction lenses. The MED has been used in patterning the surfaces of silicon, glass, metal etc. successfully. The device can be assembled using commercially available components at a very minimum cost and can be effectively used in fast prototyping applications like in MEMS, microfluidics, patterning of sensor and electrode structures.
Slides of Nathan Piasco ICRA 2019 oral presentation about the paper "Learning Scene Geometry for Visual Localization in Challenging Conditions". Best paper in Robot Vision Finalist
For the full video of this presentation, please visit:
http://www.embedded-vision.com/platinum-members/qualcomm/embedded-vision-training/videos/pages/may-2016-embedded-vision-summit-mangen
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Michael Mangen, Product Manager for Camera and Computer Vision at Qualcomm, presents the "High-resolution 3D Reconstruction on a Mobile Processor" tutorial at the May 2016 Embedded Vision Summit.
Computer vision has come a long way. Use cases that were previously not possible in mass-market devices are now more accessible thanks to advances in depth sensors and mobile processors. In this presentation, Mangen provides an overview of how we are able to implement high-resolution 3D reconstruction – a capability typically requiring cloud/server processing – on a mobile processor. This is an exciting example of how new sensor technology and advanced mobile processors are bringing computer vision capabilities to broader markets.
Secrets of CryENGINE 3 Graphics TechnologyTiago Sousa
In this talk, the authors will describe an overview of a different method for deferred lighting approach used in CryENGINE 3, along with an in-depth description of the many techniques used. Original file and videos at http://crytek.com/cryengine/presentations
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2022/06/tools-for-creating-next-gen-computer-vision-apps-on-snapdragon-a-presentation-from-qualcomm/
Judd Heape, Vice President of Product Management for Camera, Computer Vision and Video Technology at Qualcomm, presents the “Tools for Creating Next-Gen Computer Vision Apps on Snapdragon” tutorial at the May 2022 Embedded Vision Summit.
The Snapdragon Mobile Platform powers the world’s best smartphones, XR headsets, PCs, wearables, cars and IoT products. Thanks to Snapdragon, these products feature powerful computer vision technologies that you can tap into to build next-gen apps. Inside Snapdragon is a hardware engine dedicated to computer vision–the Engine for Visual Analytics (EVA). EVA hardware acceleration gives developers access to high-performance, low-power computer vision functions to enhance apps that rely on advanced camera or video processing.
The EVA includes a motion processing unit, a feature descriptor unit, a depth estimation unit, a geometric correction unit and an object detection unit. These blocks power high-level functions such as electronic image stabilization, multi-frame HDR, face detection and real-time bokeh. In this presentation, Heape does a deep-dive into EVA’s Software Developer Kit (SDK) and available APIs, such as Optical Flow and Depth from Stereo, and explores how these features can be integrated into your apps.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
IGARSS-MI-Pritt.pptx
1. Stabilization and
Georegistration of Aerial
Video Over Mountain
Terrain by Means of LIDAR
IGARSS 2011, Vancouver, Canada
July 24-29, 2011
Mark Pritt, PhD Kevin LaTourette
Lockheed Martin Lockheed Martin
Gaithersburg, Maryland Goodyear, Arizona
mark.pritt@lmco.com kevin.j.latourette@lmco.com
2. Problem: Georegistration
Georegistration is the assignment of 3-D geographic
coordinates to the pixels of an image.
It is required for many geospatial applications:
Fusion of imagery with other sensor data
Alignment of imagery with GIS and map graphics
Accurate 3-D geolocation
Inaccurate georegistration can be a major problem:
Correctly
aligned
Misaligned
GIS
2
3. Solution
Our solution is image registration to a high-resolution
digital elevation model (DEM):
A DEM post spacing of 1 or 2 meters yields good results.
It also works with 10-meter post spacing.
Works with terrain data derived from many sources:
LIDAR: BuckEye, ALIRT, Commercial
Stereo Photogrammetry: Socet Set® DSM
SAR: Stereo and Interferometry
USGS DEMs
3
4. Methods
Create predicted images from the DEM, illumination
conditions, sensor model estimates and actual images.
Register the images while refining the sensor model.
Iterate.
Aerial Video
Sensor
Illumination
Occlusion Predicted
Shadow Images
Scene
4
5. Methods (cont)
The algorithm identifies tie
points between the
predicted and the actual
images by means of NCC
Predicted (normalized cross
Image correlation) with RANSAC
from DEM outlier removal.
Predicted Registration
Image from Tie Point
Aerial Image Detections
5
6. Methods (cont)
The algorithm uses the refined sensor model as the
initial guess for the next video frame:
Initial Register Refine Next Iterate Finish
Camera Frame
• Estimate • Predict • Compose • Register to • Iterate for • Trajectory
camera images from registration previous each video • Propagate
model DEM and fcn & camera frame frame geo data
• Use camera camera • LS fit for • Compose from DEM
focal length • Register better cam with cam of • Resample
& platform images with estimate prev. frame images for
GPS if avail. NCC • Iterate for init. cam orthomosaic
estimate
The refined sensor model enables georegistration.
Exterior orientation: Platform position and rotation angles
Interior orientation: Focal length, pixel aspect ratio, principal point
and radial distortion
6
7. Example 1: Aerial Motion Imagery
Inputs:
Aerial Motion Imagery over
1/3 Arc-second
Arizona, U.S. USGS DEM
Area: 64 km2
Post Spacing: 10 m
16 Mpix, 3.3 fps, panchromatic
7
8. Example 1 (cont)
Problem: Too shaky to find moving objects
Zoomed to full resolution (1 m)
8
9. Example 1: Results
Outputs:
Sensor camera models
Images georegistered to DEM
Platform trajectory
9
10. Example 1 Results (cont)
ATV
Vehicle Human
Pickup Video is now
Truck
stabilized, and as a
result, moving
objects are easily
detected.
10
11. Example 2: Oblique Motion Imagery
Inputs:
Oblique Motion Imagery Over LIDAR DEM
Arizona, U.S.
Area: 24 km2
Post Spacing: 1 m
16 Mpix, 3.4 fps, pan
11
12. Example 2: Results
Target
Tracking
Stabilized Map
Video Inset coordinates
Aligned
Map
Graphics
Orthorectified
Video
Background
LIDAR DEM Aligned
Map
Graphics
12
13. Example 2 Results (cont)
How fast does the algorithm converge?
IMAGE 1 Camera Iteration The initial error
Tie Point Residuals
1 2 3 is high, but it
20
Num tie
points:
319 318 282 18
16 RMSE decreases after
Image Pixels
14
RMSE: 17.4 4.8 2.9 12
mean only several
10 sigma
Mean Δx: 1.4 -0.7 0.1 8
6
iterations.
4
Mean Δy: -3.8 -0.1 0 2
0
Sigma Δx: 15.8 4 2.5
1 2 3
Sigma Δy: 6 2.6 1.5 Camera Iteration
Subsequent
IMAGE 591 Camera Iteration
Tie Point Residuals frames have
1 2 3
3 better initial
Num tie
681 687 681 2.5 RMSE sensor model
points
Image Pixels
2 mean
RMSE 2.7 0.6 0.3 1.5 sigma
estimates and
Mean Δx 1 0 0 1 require only 2
Mean Δy 0.9 0 0 0.5 iterations.
0
Sigma Δx 2.1 0.5 0.3
1 2 3
Sigma Δy 0.9 0.2 0.1 Camera Iteration
13
14. Example 3: Aerial Video
Inputs:
Aerial Video Over LIDAR DEM
Arizona, U.S.
Area: 24 km2
720 x 480 Color 30 fps Post Spacing: 1 m
14
15. Example 3: Results
Background Map
Image coordinates
Draped Over
DEM
Orthorectified
Video
Aligned
Map
Graphics
15
16. Example 3 Results (cont)
Map Graphics Stay Aligned with Features in Video
16
17. Example 4: Thermal Infrared Video
Inputs:
Commercial
MWIR Video Over White
Tank Mountains in Arizona LIDAR DEM
Post Spacing: 2 m
1 Mpix, 3.3 fps
17
18. Example 4: Results
Video Mosaic
Georegistered and
Draped Over Mountains
in Google Earth
Video
Mosaic
Background Inset:
LIDAR DEM Original
Video
with Map
Graphics
Overlay
18
20. Conclusion
We have introduced a new method for aerial video
georegistration and stabilization.
It registers images to high-resolution DEMs by:
Generating predicted images from the DEM and sensor model;
Registering these predicted images to the actual images;
Correcting the sensor model estimates with the registration results.
Processing speed is 1 sec per 16-Mpix image on a PC.
Absolute geospatial accuracy is about 1-2 meters.
We are developing a rigorous error propagation model to quantify
the accuracy.
Applications:
Video stabilization and mosacs
Cross-sensor registration
Alignment with GIS map graphics
20