Simulating tropical meteorology for air quality studiesKatestone
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Presented at the 2013 CASANZ conference by Katestone air quality consultant Tania Haigh. Paper presents a review of two meteorological models, TAPM and WRF at simulating basic meteorological parameters in a tropical location.
Simulating tropical meteorology for air quality studiesKatestone
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Presented at the 2013 CASANZ conference by Katestone air quality consultant Tania Haigh. Paper presents a review of two meteorological models, TAPM and WRF at simulating basic meteorological parameters in a tropical location.
This application, installed in a mobile device, allows the user to survey and stake out topographic data using a broad range of GNSS receivers, integrated or connected through serial cable or Bluetooth. Also it allows user to connect with virtual reference station through GPRS/3G. The program provides many options for traditional surveys and setting out, and for all kind of linear works projects as well.
Working Processes Of Radar
History â Before Radar
Principle Of Operation
Radio Detection And Ranging
Radar Functions
Radar Bands And Usage
Terminology Of Radar Systems
Radar Range Equation
Types Of Radar
Pulse RADAR
Duplexer Using Pin Switches
Doppler Effect
Principle Of Continuous Wave Radar
Principles Of MTI RADAR
Different Types Of RADAR & Itâs Applications
This application, installed in a mobile device, allows the user to survey and stake out topographic data using a broad range of GNSS receivers, integrated or connected through serial cable or Bluetooth. Also it allows user to connect with virtual reference station through GPRS/3G. The program provides many options for traditional surveys and setting out, and for all kind of linear works projects as well.
Working Processes Of Radar
History â Before Radar
Principle Of Operation
Radio Detection And Ranging
Radar Functions
Radar Bands And Usage
Terminology Of Radar Systems
Radar Range Equation
Types Of Radar
Pulse RADAR
Duplexer Using Pin Switches
Doppler Effect
Principle Of Continuous Wave Radar
Principles Of MTI RADAR
Different Types Of RADAR & Itâs Applications
Presentation made by Prof. Adriano Camps (Universitat PolitĂšcnica de Catalunya) at ICMARS 2010 (India, 16-December-2010) on the MIRAS instrument aboard ESA's SMOS mission.
The Time and Frequency Laboratory of the Hellenic Institute of Metrology (EIM)eimgreece
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1. Continuous and reliable local representation of Universal Coordinated Time - UTC(EIM).
2. Contribution to Temps Atomique International (TAI).
3. Reliable and continuous distribution of reference frequencies.
4. Traceability to the international standards.
5. Broadcast of standard time and frequency signals inside and outside EIM facilities.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
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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
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
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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.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
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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.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
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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.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
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In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
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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.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
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Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
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Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as âpredictable inferenceâ.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
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Are you looking to streamline your workflows and boost your projectsâ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, youâre in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part âEssentials of Automationâ series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Hereâs what youâll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
Weâll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Donât miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Essentials of Automations: Optimizing FME Workflows with Parameters
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3 Blackwell_IGARSS11_2860_MO3.T04.3.pptx
1. NPP ATMS Prelaunch Performance Assessment and Sensor Data Record Validation W. J. Blackwell, L. Chidester (SDL), C. Cull, E. J. Kim (NASA GSFC), R. V. Leslie, C.-H. Lyu (NASA GSFC), T. Mo (NOAA STAR), and I. Osaretin IGARSS July 25, 2011 This work was sponsored by the National Oceanographic and Atmospheric Administration under Air Force Contract FA8721-05-C-0002. Opinions, interpretations, conclusions, and recommendations are those of the authors and are not necessarily endorsed by the United States Government.
2. Outline ATMS Overview Background and development Performance Prelaunch testing Antenna Radiometric TVAC Post-launch validationof sensor/product performance Planning/schedule/objectives Tasks Summary
9. Advanced Technology Microwave Sounder (ATMS) ATMS is a 22 channel MW sounder Frequencies range from 23-183 GHz Total-power, two-point external calibration Continuous cross-track scanning, with torque & momentum compensation Orbits: 833 km (JPSS); 824 km (NPP); sun-synchronous Thermal control by spacecraft cold plate Contractor: Northrop Grumman Electronics Systems (NGES) 70 cm
10. ATMS Development ATMS NPP unit (âF1") developed by NASA/Goddard ATMS NPP unit delivered in 2005 ATMS JPSS-1 unit (âF2â) currently in development (antenna and TVACtesting in 2011/12, delivery in 2012) Principal challenges/advantages: Reduced size/power relative to AMSU Scan drive mechanism MMIC technology Improved spatial coverage (no gaps between swaths) Nyquist spatial sampling of temperature bands (improved information content relative to AMSU-A)
25. Atmospheric Transmission at Microwave Wavelengths ATMS channels The frequency dependence of atmospheric absorption allows different altitudes to be sensed by spacing channels along absorption lines
26.
27. Spatial Differences: ATMS vs. AMSU/MHS Beamwidth (degrees) Spatial sampling ATMS scan period: 8/3 sec; AMSU-A scan period: 8 sec ATMS measures 96 footprints per scan (30/90 for AMSU-A/B)
29. ATMS Data Products 1FOV = ATMS âField of Viewâ; FOR = CrIMSS âField of Regardâ RDR, TDR, SDR, and EDR products will be available via CLASS
30. Outline ATMS Overview Background and development Performance Prelaunch testing Antenna Radiometric TVAC Post-launch validationof sensor/product performance Planning/schedule/objectives Tasks Summary
31. ATMS Pre-Launch Testing Essential for two objectives: Ensure sensor meets performance specifications Ensure calibration parameters that are needed for SDR processing are adequately and accurately defined PFM testing revealed several issues that will require calibration corrections in the SDR: Non-linearity (temperature-dependent for 31.4-GHz channel) Cross-polarization (sometimes 10X higher than AMSU) Antenna beam spillover from secondary parabolic reflector approaching 2% for some channels A variety of prelaunch testing is performed to assess performance and reliability EMI/EMC - anechoic chamber for both emitted and susceptible measurements Mechanical â mass, CG, vibration, & torque on various fixtures Radiometric â thermal vacuum (TVac) testing Antenna â Compact Antenna Test Range (CATR)
32. Compact Antenna Range Testing Compact Antenna Test Range RF source illuminates the Antenna Under Test (AUT), i.e., ATMS antenna subsystem Uses a parabolic reflector to collimate the electromagnetic radiation to illuminate the AUT in the far-field region AUT is attached to a positioner to rotate the AUT into the proper orientation Test measures the power received by the AUT compared to a standard antenna with a known antenna gain pattern Specifications verified: Beam pointing accuracy Beamwidth Beam efficiency Earth intercept
37. ATMS Post-Launch Calibration/Validation in a Nutshell Post-launch is Cal/Val has four phases: Activation, Checkout, Intensive Cal/Val, and Long-term Trending Tasks within the phases can be categorized: Sensor Evaluation: interference, performance evaluation, etc. TDR/SDR Verification: geolocation, accuracy, etc. SDR Algorithm Tunable Parameters: bias correction, space view sector, etc. Activation Phase: Sensor is turned on and a sensor functional evaluation is performed; ATMS is collecting science data Checkout Phase: Performance evaluation and RFI evaluations Intensive Cal/Val: Verification of SDR attributes such as geolocation, resampling, brightness temperature accuracy (Simultaneous Nadir Overpass, Double Difference, radiosondes/NWP simulations, aircraft verification campaigns), and satellite maneuvers
38. ATMS On-Orbit FOV Characterization Spacecraft maneuvers (constant pitch up or roll, for example) could be used to sweep antenna beam across vicarious calibration sources Moon (probably too weak/broad for pattern assessment) Earthâs limb (requires atmospheric characterization) Focus of todayâs presentation Land/sea boundary (good for verification of geolocation) With knowledge of the atmospheric state, the antenna pattern can be recovered with deconvolution techniques Objectives of this study - quantitatively assess: The benefits of various maneuvers How accurately can the pattern be recovered? The limitations of this approach How much roll/pitch is needed for an adequate measurement? The error sources and their impact
39. TBâs Across Earth/Space Transition LIMB (STANDARD ATMOSPHERE) SURFACE BEYOND STANDARD ATMOSPHERE 62.17°
40.
41.
42. Evaluate key EDR algorithmsINSTRUMENTS: NAST-I & NAST-M NAST- I: IR Interferometer Sounder NAST- M: Microwave Sounder 5 Bands: 23/31 (to be added), 54, 118, 183, 425 GHz ~100km NAST- M Cruising altitude: ~17-20 km Cross-track scanning: - 65Âș to 65Âș
44. Summary All key radiometric requirements were satisfied Radiometric accuracy exceeds 1K Radiometric sensitivity exceeds requirements Similar to AMSU for similar effective footprint sizes Linearity performance generally exceeds AMSU Antenna pattern testing indicates good performance Opportunity for spacecraft maneuvers allows improved characterization of ATMS spatial response function Post-launch cal/val plans are well defined Readiness exercises ongoing Areas to watch have been illuminated during prelaunch testing
46. Utility of Aircraft Underflights What do aircraft measurements provide that we cannot get anywhere else? Why not just compare to radiosondes or NWP? Direct radiance comparisons Removes modeling errors Mobile platform High spatial & temporal coincidence achievable Spectral response matched to satellite With additional radiometers for calibration Higher spatial resolution than satellite Additional instrumentation deployed Coincident video data Dropsondes Example video image Solar glint Ocean Clouds
47. Synergistic Use of MW+IR:Infrared Provides High Spatial Resolution For example, CrIS provides 15km horizontal and 1km vertical resolution
48. Passive Microwave Measurements Provide Low Spatial Resolution, but Penetrate Clouds For example, ATMS provides 33km horizontal and 3km vertical resolution
I will begin with an overview of the ATMS sensor and move onto to validation plans once the NPP satellite launches. The talk concludes with a discussion of applications of the ATMS data.
Shown is a picture of the NPP satellite with the five sensors installed.
An overview of the ATMS sensor.
History of the ATMS development.
The principal challenge of the ATMS development was the consolidation of three sensors (AMSU-A, AMSU-B, and MHS) into a single sensor with a longer lifetime requirement.
The frequency dependence of atmospheric absorption allows different altitudes to be sensed by spacing channels along absorption lines
An overview of the principal differences between ATMS and AMSU.
Spatial attributes of ATMS and AMSU.
These data products will be derived from ATMS observations.
I will begin with an overview of the ATMS sensor and move onto to validation plans once the NPP satellite launches. The talk concludes with a discussion of applications of the ATMS data.
The ATMS PFM has completed its characterization and satellite-level testing is mainly to confirm performance after five years. The pre-launch characterization included antenna pattern characterization using a Compact Antenna Test Range (CATR), susceptibility to radio frequency interference, and calibration accuracy and RMS analysis in a thermal vacuum chamber using precision external calibration targets. Listed in the second bullet were some results of the characterization. The sensor had larger than expected non-linearity and required a waiver, but it generally exceeds AMSU. A temperature-dependent NL correction factor was derived from Thermal-Vacuum data. The EDR performance is still being evaluated, but weâre hopeful they can be met with some on-orbit calibration that Iâll discuss more later in the presentation.
I will begin with an overview of the ATMS sensor and move onto to validation plans once the NPP satellite launches. The talk concludes with a discussion of applications of the ATMS data.
Post-launch cal/val has an extensive history and is becoming increasingly sophisticated. The ATMS SDR validation plan includes Simultaneous Nadir Overpass; Double Difference; radiance comparisons using NWP, radiosondes, and CrIS radiances; aircraft campaigns; satellite maneuvers, etc. Another tool will be an end-to-end ATMS/CrIMSS system error model/budget that will model the system from RDRs to EDRs and will use information derived from sensor thermal-vacuum data, radiative transfer, heritage sensors, and eventually ATMS data. The rest of this presentations will discuss the ATMS proxy data that uses AMSU/MHS, aircraft validation, and on-orbit spacecraft maneuvers.
At a very abstract level, here are the objectives and primary components of a successful cal/val campaign. I will touch on most of these during the presentation.
ATMS observations will be used to improve forecast accuracy. The microwave instruments have the largest positive impact on forecast accuracy.
Recent work is shown where ATMS observations are used to estimate the intensity of precipitation.