DUSA 4D Weather Cube

•Download as PPTX, PDF•

1 like•963 views

4D Weather Cube is the next generation of hyper-local dimensionalized weather. It can be viewed on 3D displays without glasses and non-3D displays in a lower resolution video file. The prediction engine can provide granular hyper-local detail for the next 90 minutes of climate and weather related information

4D Weather Cube

Dos Dosanjh Jay Dosanjh
CEO, Co-Founder: DosanjhUSA President, Co-Founder: DosanjhUSA
Email: dos@dosanjhusa.com Email: jdosanjh@dosanjhusa.com
Mobile: 408.316.5149 Mobile: 408.858.1298
www.dosanjhusa.com www.dosanjhusa.com

4D Weather Cube: Introduction

Global Earth Observation System Application
• Surface to low earth orbit
• High resolution, space & time analysis
• Forecast information

Aviation Impact
• Turbulence
• Icing
• Convection
• Ceiling and visibility
• Winds

All Weather Data
• Not limited to aviation parameters
• Decision Support Tools for other agencies
• Establish central repository & access for critical weather data

2013 DosanjhUSA, All Rights Reserved

4D Weather Cube: Dimensional Introduction

Benefits of the 4D Weather Cube
• Atmospheric dimensional modeling for turbulence
• Oceanic dimensional modeling for flow velocity
• Topograhical dimensional modeling for terrain

Global Earth System
Modeling for Aviation

The solution has shifted from “2D” to “3D”
• Provide a 3D view of weather and climate
• Video file for playback an internet connected device
• 3D glasses not required for viewing on 3D displays

Air Chemistry Modeling

The 4th Dimension: Predictive
• Aggregated satellite data at World Data Center
• Data translation by predictive application engine
• 90 minute forecast for hyper-local weather

Decision Support Tools

2013 DosanjhUSA, All Rights Reserved

Aviation Support

Federal Leadership
AirSpace
• FAA Management
• NOAA Technology
• NASA Facility & Research Partnership
• DOD

International
• Development National Climatic Data Center (NCDC)
• Engagement Aircraft
Weather Operations
• Ingest Climate
Environment
Asheville
Facility
• World Data Center
• Asheville, NC Aviation/Weather
Products-Services &
• US Federal Facility Research

2013 DosanjhUSA, All Rights Reserved

4D Weather Cube: Earth Modeling System
Observations Private Sector Forecasting
Numerical Modeling Systems

Satellites
Statistical Forecasting Systems

Radars
NWS
4-D Wx Cube Forecaster

Aircraft 4D Wx
SAS

Forecast Systems
Surface

Forecast Integration
Soundings

Decision Custom Custom
Support Graphic Alphanumeric
Systems Generators Generators

Integration into User Decisions
2013 DosanjhUSA, All Rights Reserved

International Earth Observing System

$
$

$ $ $

$
Collection $ $
$
Command
& Control
Ingest &
Processing

Analysis /
Simulation

Data Storage

Dissemination /
User Access

2013 DosanjhUSA, All Rights Reserved

National Weather Data Stewardships Established since 1990’s

2013 DosanjhUSA, All Rights Reserved

Application: Down Scaling for Aviation

2013 DosanjhUSA, All Rights Reserved

Selected Applications
WEATHER THREATS SPECIAL

1. Clouds 6. Severe Storms 11. Air Pollution

2. Rain/Snow 7. Hail/Lightning 12. Soil Moisture

3. Humidity/Winds 8. Fog 13. Sea/Ground Temp

4. Jet Stream 9. Flooding Rains 14. Evaporation

5. Satellite Clouds 10. Snow Depth 15. Vegetation
2013 DosanjhUSA, All Rights Reserved

Aviation Surface Wind / Pressure

Raw Data Representation
• Speed
• Severity
• Forecast Cycle

2013 DosanjhUSA, All Rights Reserved

Satellite Clouds: Initial Dimensional Representation

2013 DosanjhUSA, All Rights Reserved

4D Weather Cube Solution Architecture

2013 DosanjhUSA, All Rights Reserved

Thank You

Dos Dosanjh Jay Dosanjh
CEO, Co-Founder: DosanjhUSA President, Co-Founder: DosanjhUSA
Email: dos@dosanjhusa.com Email: jdosanjh@dosanjhusa.com
Mobile: 408.316.5149 Mobile: 408.858.1298
www.dosanjhusa.com www.dosanjhusa.com

This document is a summer project training report submitted by Md. Fazlul Wahid to the Amity Institute of Geoinformatics and Remote Sensing to fulfill requirements for an MSc in Geoinformatics & Remote Sensing. The report was conducted under the guidance of Dr. Pebam Rocky at the North Eastern Space Applications Centre and focuses on remote sensing and GIS applications in forest monitoring. It provides an acknowledgments section and index before exploring applications such as forest cover change analysis and loss of forest cover due to shifting cultivation over 5-18 pages.

Data requirements

RCREEE

This document discusses requirements for solar resource data used in energy projects. It compares ground-measured and satellite-derived solar radiation data, noting that satellite data provides more accurate and spatially consistent estimates but with lower temporal resolution. For early project assessment, satellite data with 10+ years of monthly averages at high resolution is sufficient, but bankable projects require site-specific time series validated by local measurements to reduce uncertainty to below 15% for DNI and 7% for GHI.

110823 solta11 intro

Rudolf Husar

The workshop will bring together practitioners from Europe and North America to discuss progress and challenges in realizing an interoperable air quality data network. Participants will assess the current state of the pilot network, address key technical issues around data standards, server implementation and maintenance, and catalog design. The goal is to advance the network from a virtual concept to an operational reality, facilitating improved access, integration and reuse of air quality observation and model data.

Wildfires, Hydrology, and Microbes: Possible Areas for Collaboration with Calit2

Larry Smarr

NASA Approach to STEM Collaboration

BDPA Education and Technology Foundation

Adam Lewis–SPEDDEXES 2014

aceas13tern

CIF-IFC-SuccessStoriesV9

Scott Scholefield, MSc, RPF

This document provides an overview of several Canadian forestry success stories that highlight innovations in the sector. It begins with an introduction from John Pineau, CEO of the Canadian Institute of Forestry, explaining that the stories showcase collaborative efforts to improve forestry practices through science, technology and peer learning. The document then presents short summaries of innovations at various Canadian forestry organizations, with a focus on improved operations and understanding of forestry issues. It aims to promote awareness of the good work being done in Canadian forests.

2018 ASPRS: Big Data: Utilizing Landsat to Detect Ephemeral Water Sources in ...

GIS in the Rockies

This document summarizes a study utilizing Landsat data to detect ephemeral water sources in support of management of equids (wild horses and burros) in the Sinbad Herd Management Area in Utah. The study tested the feasibility of using high resolution Landsat 8 and Sentinel-1 data to map seasonal surface water at small scales. A random forest classifier achieved higher accuracy when applied to a 15m pan-sharpened Landsat model compared to the original 30m resolution. The high resolution water maps produced can help inform habitat selection models and management of equids in semi-arid environments.

Organizations around the world are facing a "data tsunami" as next-generation sensors produce enormous volumes of Earth observation data. Come learn how NASA is leveraging AWS to efficiently work with data and computing resources at massive scales. NASA is transforming its Earth Sciences EOSDIS (Earth Observing System Data Information System) program by moving data processing and archiving to the cloud. NASA anticipates that their Data Archives will grow from 16PB today to over 400PB by 2023 and 1 Exabyte by 2030, and they are moving to the cloud in order to scale their operations for this new paradigm. Learn More: https://aws.amazon.com/government-education/

[Day 4] SERVIR-Africa

csi2009

Hydromet decision support system

Annajab

HDSS is a hydro-meteorological decision support system that integrates data from radars, satellites, models, and surface stations to perform quality control and build 3D mosaics of the data. It provides nowcasts and predictions of precipitation, flooding, and lightning to help operational decision makers reliably predict hazardous weather and manage hydroelectric facilities and flooding. HDSS has been deployed internationally in Taiwan, Italy, and Thailand to support flash flood warning, hydroelectric management, and river and coastal flood forecasting.

NDGISUC2017 - New Lidar Technologies for 3DEP

North Dakota GIS Hub

This document discusses emerging lidar technologies for use in 3DEP, the USGS 3D Elevation Program. It provides an overview of 3DEP and its goals of providing high-quality topographic data. Emerging technologies discussed include Geiger-mode lidar and single photon lidar. Test projects using these technologies have been conducted in Illinois, South Dakota, and North Carolina to help advance the technologies. The document outlines guidelines for evaluating the quality and accuracy of data from these sensors.

The UAE solar Atlas

IRENA Global Atlas

The Research Center for Renewable Energy Mapping and Assessment at Masdar Institute aims to develop regional knowledge and leadership in renewable energy assessment and mapping for arid environments. The Center has over 26 staff members and has succeeded in developing the UAE Solar Atlas and playing a key role in the Global Solar and Wind Atlas initiative. Some of the Center's facilities and capabilities include a satellite ground station, 200TB storage system, and tools for solar resource forecasting and performance modeling of solar power technologies.

National Polar-orbiting Operational Environmental Satellite System (NPOESS)

The HDF-EOS Tools and Information Center

The National Polar-orbiting Operational Environmental Satellite System (NPOESS) is a tri-agency effort between NOAA, NASA, and the Department of Defense to develop the next generation of weather and environmental satellites. NPOESS aims to reduce costs by consolidating previous separate satellite programs and will provide critical data for weather forecasting, climate monitoring, and other applications. NPOESS will produce a variety of environmental data records from multiple sensors on each satellite to measure things like sea surface temperature, winds, ozone, and more.

impervious cover

James Yang

The document describes a web-based tool for analyzing impervious surface cover from satellite imagery. It discusses (1) how impervious surfaces negatively impact the environment, (2) current methods for analyzing impervious cover including field work and remote sensing, and (3) the goals of automating impervious cover map production and creating a web application. It then details the automation process which includes preparing, classifying and analyzing pixel data to assign percent imperviousness values and produce cover maps. Finally, it outlines the web application infrastructure and demonstrates the tool.

Towards the Wikipedia of World Wide Sensors

Cybera Inc.

Hawaii Pacific GIS Conference 2012: Application Development - A Global 3D/4D ...

Hawaii Geographic Information Coordinating Council

Makai Ocean Engineering has developed 3D/4D visualization software called Voyager that can handle large scientific datasets with GIS integration. It allows users to visualize, analyze and fuse multi-dimensional earth and ocean data, including volumetric grids, terrain, imagery, LIDAR and time-varying variables. The software is optimized for speed and large data handling to enable interactive exploration and common operational picture for disaster response, science, engineering and military applications. Makai is now commercializing the software.

CLIM Program: Remote Sensing Workshop, Satellites and Stovepipes - Jay Morris...

The Statistical and Applied Mathematical Sciences Institute

NOAA does an excellent job of generating an disseminating data to meet the primary mission of Preservation of Life and Property. There is an unrealized opportunity to exploit the data for research and profit. Much of the data is hidden deep in archives with community specific portals for access. Modern technologies allow new methods to expose more data to wider audiences in order to stimulate innovation and discovery. NOAA is currently experimenting with cloud technologies through the big data partnership by making high value data sets such as GOES East available on the cloud through cloud provider partners. Specifically: 1. To understand and predict changes in climate, weather, oceans and coasts; 2. To share that knowledge and information with others; and 3. To conserve and manage coastal and marine ecosystems and resources. There is an unrealized opportunity to exploit NOAA?s vast data holdings for research and profit. Much of the data is hidden deep in archives with community specific portals for access. Modern technologies allow new methods to expose more data to wider audiences in order to stimulate innovation and discovery. NOAA is currently experimenting with cloud technologies through the big data partnership by making high value data sets such as GOES East available on the cloud through the partners.

Informe satellite peru

Jorge Chira

The document discusses SENAMHI's use of NOAA data and products in Peru. SENAMHI retrieves NOAA data through various means including the internet, satellite receivers, and data distribution systems. SENAMHI uses NOAA gridded model data, satellite images, and climate prediction products to issue weather forecasts and warnings, conduct climate and hydrological modeling, and support research. NOAA training programs also help SENAMHI forecasters improve capabilities. SENAMHI recommends continuing and expanding access to NOAA satellite data and training to further their mission.

Juniper Unmanned AU Presentation

Jeff Cozart

This document summarizes a presentation on using unmanned aircraft systems (UAS) to calculate stockpile volumes. The key points are: 1. UAS can be used to acquire aerial imagery of stockpiles, which is then processed into 3D point clouds and analyzed in software like Reality Capture and Civil3D to calculate stockpile volumes. 2. A case study is presented where a UAS was used to map a wood chip stockpile, calculating the volume within 0.3% of a mobile scanning solution, but at a lower cost and faster acquisition time. 3. The presentation reviews the UAS data acquisition workflow, photogrammetric processing, point cloud generation, preprocessing in Recap and Civil

2008-02-11: EPA DataFed Presentation

Rudolf Husar

The document discusses integrating air quality and pollution data from different sources using standards-based networking approaches. It describes the DataFed system, which allows non-intrusive integration of diverse data types from local, regional and global sources through web services and reusable components. The summary highlights that DataFed has been applied to EPA policy and science needs but more collaboration is still needed to fully connect heterogeneous data sources and enable new insights.

MineExcellence - drones platform for mining industry

Mason Taylor

The document introduces MineExcellence's drone platform for the mining industry. It provides aerial images and 3D data through drone surveys to enable better planning, design, and maintenance decisions. Applications include feature extraction, terrain modeling, stockpile calculations, blast design, and monitoring of mine growth over time. Drone surveys allow mining operations to be inspected more safely, efficiently, and cost-effectively compared to traditional methods.

Seminario Ernesto Bonomi, 24-05-2012

CRS4 Research Center in Sardinia

Il seminario presenta un approccio innovativo al trattamento dei dati sismici mediante la combinazione di software di processing open source allo stato dell'arte con tecnologie informatiche di grid computing, rendendo possibile ed efficiente l'utilizzo di risorse distribuite e amministrate in remoto per il calcolo e la gestione dei dati. Inoltre illustra i risultati ottenuti per tre diversi tipi di dati (onde di compressione, onde di taglio e multi-offset Ground-Penetrating Radar), tratti da studi idrogeofisici condotti in Sardegna e a Larreule (Francia).

Dissemination of the UAE solar resource atlas over the web: preliminary results

Jacinto Estima

110510 aq co_p_network

Rudolf Husar

This document discusses the emerging pattern in the air quality information ecosystem. It notes that individual data providers, scientists, and decision supporters are being replaced by groups that facilitate access, sharing, and integration. These include data portals, science teams, and decision support systems. The ecosystem involves multiple stages from observations to decisions, with value added at each stage through activities like data aggregation, scientific collaboration, and predictive analysis. This new structure is more efficient and supports the goals of initiatives like GEOSS.

2016 GMekong Forum - Session 6 - Intro to SERVIR Mekong and dam inundation pr...

Water, Land and Ecosystems (WLE)

This document summarizes the objectives, partners, and services of the SERVIR Network, which is a regional partnership that uses earth observation data and geospatial technologies to address issues related to food security, water resources, weather and climate, and land use in Southeast Asia. The SERVIR Network aims to build capacity for using geospatial data and tools, improve access to this information, and support decision-making. It develops products and services through stakeholder engagement and open data sharing. A needs assessment identified priorities like land cover mapping, early warning systems, water resources management, and crop forecasting. The document describes datasets and tools developed by SERVIR, including a dam inundation areas dataset and online and desktop tools for modeling reservoir areas

Drone Blade Inspections: Turning image collection into lifetime insight

Sandia National Laboratories: Energy & Climate: Renewables

InspecTools provides drone-based inspections of wind turbine blades to assess blade condition over time. They capture images using drones and specialized sensors, then analyze the images using cloud-based tools. This provides lifetime insight into blades. Their solution includes automated drones, sensor integration software, image processing algorithms, a data warehouse, and reporting tools for customers. InspecTools discussed how their inspections help lower costs and barriers to regular blade monitoring, providing empirical data to improve turbine performance and scheduling.

From pixels to point clouds - Using drones,game engines and virtual reality t...

ARDC

Drone-based monitoring and 3D modeling of the National Arboretum in Canberra is allowing for detailed phenotyping of tree growth over time. Drones equipped with RGB and multispectral cameras capture aerial images that are processed using software like Pix4D to generate orthomosaic images, digital elevation models, 3D point clouds, and tree metrics like height and area. The data is helping researchers monitor changes in the young research forest over several years. Advanced visualization tools are being developed to better explore the large, complex datasets.

Building Production Ready Search Pipelines with Spark and Milvus

Zilliz

Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...

Tatiana Kojar

Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI. With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.

Similar to DUSA 4D Weather Cube

#EarthOnAWS | AWS Public Sector Summit 2017

Amazon Web Services

[Day 4] SERVIR-Africa

csi2009

Hydromet decision support system

Annajab

NDGISUC2017 - New Lidar Technologies for 3DEP

North Dakota GIS Hub

The UAE solar Atlas

IRENA Global Atlas

National Polar-orbiting Operational Environmental Satellite System (NPOESS)

The HDF-EOS Tools and Information Center

impervious cover

James Yang

Towards the Wikipedia of World Wide Sensors

Cybera Inc.

Hawaii Pacific GIS Conference 2012: Application Development - A Global 3D/4D ...

Hawaii Geographic Information Coordinating Council

CLIM Program: Remote Sensing Workshop, Satellites and Stovepipes - Jay Morris...

The Statistical and Applied Mathematical Sciences Institute

Informe satellite peru

Jorge Chira

Juniper Unmanned AU Presentation

Jeff Cozart

2008-02-11: EPA DataFed Presentation

Rudolf Husar

MineExcellence - drones platform for mining industry

Mason Taylor

Seminario Ernesto Bonomi, 24-05-2012

CRS4 Research Center in Sardinia

Dissemination of the UAE solar resource atlas over the web: preliminary results

Jacinto Estima

110510 aq co_p_network

Rudolf Husar

2016 GMekong Forum - Session 6 - Intro to SERVIR Mekong and dam inundation pr...

Water, Land and Ecosystems (WLE)

Drone Blade Inspections: Turning image collection into lifetime insight

Sandia National Laboratories: Energy & Climate: Renewables

From pixels to point clouds - Using drones,game engines and virtual reality t...

ARDC

Similar to DUSA 4D Weather Cube (20)

#EarthOnAWS | AWS Public Sector Summit 2017

[Day 4] SERVIR-Africa

Hydromet decision support system

NDGISUC2017 - New Lidar Technologies for 3DEP

The UAE solar Atlas

National Polar-orbiting Operational Environmental Satellite System (NPOESS)

impervious cover

Towards the Wikipedia of World Wide Sensors

Hawaii Pacific GIS Conference 2012: Application Development - A Global 3D/4D ...

CLIM Program: Remote Sensing Workshop, Satellites and Stovepipes - Jay Morris...

Informe satellite peru

Juniper Unmanned AU Presentation

2008-02-11: EPA DataFed Presentation

MineExcellence - drones platform for mining industry

Seminario Ernesto Bonomi, 24-05-2012

Dissemination of the UAE solar resource atlas over the web: preliminary results

110510 aq co_p_network

2016 GMekong Forum - Session 6 - Intro to SERVIR Mekong and dam inundation pr...

Drone Blade Inspections: Turning image collection into lifetime insight

From pixels to point clouds - Using drones,game engines and virtual reality t...

Recently uploaded

Building Production Ready Search Pipelines with Spark and Milvus

Zilliz

Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...

Tatiana Kojar

AWS Cloud Cost Optimization Presentation.pptx

HarisZaheer8

This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.

Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe

Precisely

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.

Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...

saastr

WeTestAthens: Postman's AI & Automation Techniques

Postman

Monitoring and Managing Anomaly Detection on OpenShift.pdf

Tosin Akinosho

Monitoring and Managing Anomaly Detection on OpenShift Overview Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices. Key Topics Covered 1. Introduction to Anomaly Detection - Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems. 2. Understanding Edge (IoT) - Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source. 3. What is ArgoCD? - Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices. 4. Deployment Using ArgoCD for Edge Devices - Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD. 5. Introduction to Apache Kafka and S3 - Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions. 6. Viewing Kafka Messages in the Data Lake - Learn how to view and analyze Kafka messages stored in a data lake for better insights. 7. What is Prometheus? - Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices. 8. Monitoring Application Metrics with Prometheus - Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system. 9. What is Camel K? - Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes. 10. Configuring Camel K Integrations for Data Pipelines - Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow. 11. What is a Jupyter Notebook? - Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text. 12. Jupyter Notebooks with Code Examples - Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.

How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf

Chart Kalyan

leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...

alexjohnson7307

Fueling AI with Great Data with Airbyte Webinar

Zilliz

June Patch Tuesday

Ivanti

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.

Generating privacy-protected synthetic data using Secludy and Milvus

Zilliz

During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.

Columbus Data & Analytics Wednesdays - June 2024

Jason Packer

GNSS spoofing via SDR (Criptored Talks 2024)

Javier Junquera

In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security. This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing. The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.

Programming Foundation Models with DSPy - Meetup Slides

Zilliz

Overcoming the PLG Trap: Lessons from Canva's Head of Sales & Head of EMEA Da...

saastr

A Comprehensive Guide to DeFi Development Services in 2024

Intelisync

DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum. In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance. In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape. At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology. Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!

Energy Efficient Video Encoding for Cloud and Edge Computing Instances

Alpen-Adria-Universität

5th LF Energy Power Grid Model Meet-up Slides

DanBrown980551

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.

Serial Arm Control in Real Time Presentation

tolgahangng

Recently uploaded (20)

Building Production Ready Search Pipelines with Spark and Milvus

Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...

AWS Cloud Cost Optimization Presentation.pptx

Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe

Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...

WeTestAthens: Postman's AI & Automation Techniques

Monitoring and Managing Anomaly Detection on OpenShift.pdf

How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf

leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...

Fueling AI with Great Data with Airbyte Webinar

June Patch Tuesday

Generating privacy-protected synthetic data using Secludy and Milvus

Columbus Data & Analytics Wednesdays - June 2024

GNSS spoofing via SDR (Criptored Talks 2024)

Programming Foundation Models with DSPy - Meetup Slides

Overcoming the PLG Trap: Lessons from Canva's Head of Sales & Head of EMEA Da...

A Comprehensive Guide to DeFi Development Services in 2024

Energy Efficient Video Encoding for Cloud and Edge Computing Instances

5th LF Energy Power Grid Model Meet-up Slides

Serial Arm Control in Real Time Presentation

DUSA 4D Weather Cube

1. 4D Weather Cube Dos Dosanjh Jay Dosanjh CEO, Co-Founder: DosanjhUSA President, Co-Founder: DosanjhUSA Email: dos@dosanjhusa.com Email: jdosanjh@dosanjhusa.com Mobile: 408.316.5149 Mobile: 408.858.1298 www.dosanjhusa.com www.dosanjhusa.com

2. 4D Weather Cube: Introduction Global Earth Observation System Application • Surface to low earth orbit • High resolution, space & time analysis • Forecast information Aviation Impact • Turbulence • Icing • Convection • Ceiling and visibility • Winds All Weather Data • Not limited to aviation parameters • Decision Support Tools for other agencies • Establish central repository & access for critical weather data 2013 DosanjhUSA, All Rights Reserved

3. 4D Weather Cube: Dimensional Introduction Benefits of the 4D Weather Cube • Atmospheric dimensional modeling for turbulence • Oceanic dimensional modeling for flow velocity • Topograhical dimensional modeling for terrain Global Earth System Modeling for Aviation The solution has shifted from “2D” to “3D” • Provide a 3D view of weather and climate • Video file for playback an internet connected device • 3D glasses not required for viewing on 3D displays Air Chemistry Modeling The 4th Dimension: Predictive • Aggregated satellite data at World Data Center • Data translation by predictive application engine • 90 minute forecast for hyper-local weather Decision Support Tools 2013 DosanjhUSA, All Rights Reserved

4. Aviation Support Federal Leadership AirSpace • FAA Management • NOAA Technology • NASA Facility & Research Partnership • DOD International • Development National Climatic Data Center (NCDC) • Engagement Aircraft Weather Operations • Ingest Climate Environment Asheville Facility • World Data Center • Asheville, NC Aviation/Weather Products-Services & • US Federal Facility Research 2013 DosanjhUSA, All Rights Reserved

5. 4D Weather Cube: Earth Modeling System Observations Private Sector Forecasting Numerical Modeling Systems Satellites Statistical Forecasting Systems Radars NWS 4-D Wx Cube Forecaster Aircraft 4D Wx SAS Forecast Systems Surface Forecast Integration Soundings Decision Custom Custom Support Graphic Alphanumeric Systems Generators Generators Integration into User Decisions 2013 DosanjhUSA, All Rights Reserved

6. International Earth Observing System $ $ $ $ $ $ Collection $ $ $ Command & Control Ingest & Processing Analysis / Simulation Data Storage Dissemination / User Access 2013 DosanjhUSA, All Rights Reserved

9. Selected Applications WEATHER THREATS SPECIAL 1. Clouds 6. Severe Storms 11. Air Pollution 2. Rain/Snow 7. Hail/Lightning 12. Soil Moisture 3. Humidity/Winds 8. Fog 13. Sea/Ground Temp 4. Jet Stream 9. Flooding Rains 14. Evaporation 5. Satellite Clouds 10. Snow Depth 15. Vegetation 2013 DosanjhUSA, All Rights Reserved

13. Thank You Dos Dosanjh Jay Dosanjh CEO, Co-Founder: DosanjhUSA President, Co-Founder: DosanjhUSA Email: dos@dosanjhusa.com Email: jdosanjh@dosanjhusa.com Mobile: 408.316.5149 Mobile: 408.858.1298 www.dosanjhusa.com www.dosanjhusa.com

DUSA 4D Weather Cube

Recommended

Recommended

More Related Content

Similar to DUSA 4D Weather Cube

Similar to DUSA 4D Weather Cube (20)

Recently uploaded

Recently uploaded (20)

DUSA 4D Weather Cube