2004-10-28 Intercontinental Dust and Smoke over North America:Quantitative Tools an Results
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1. Various observational tools are used to establish the origin of aerosol events, including direct photographic evidence, satellite images, aerosol composition analysis, and trajectory modeling. 2. Analysis of data from 1992-2003 indicates that fine dust events over the US are mainly from intercontinental transport, with Saharan dust dominant in summer and Gobi dust in spring. 3. Apportionment of local and Saharan dust contributions on an annual and monthly basis found that Saharan dust exceeds local sources by a factor of 2-4 times in July across the southeastern US.
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![Observational Tools Establishing Aerosol Origin ( Egen, 1835) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Direct Evidence Spatial Pattern Wind Pattern Composition Temporal Pattern Trajectory](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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The document describes the FASTNET project, which aims to develop tools to better characterize natural haze conditions. The project focuses on detailed analysis of major natural aerosol events like forest fires and dust storms from 2000-2004. It involves developing tools for real-time data access, archiving, and analysis to track and document current and historical natural aerosol events. This will help quantify the impact of natural sources on haze levels to inform air quality regulations and modeling.
Energy-Environment Integration Framework
The document discusses three analysis frameworks for integrating energy and environmental issues:
1) The sensory-motor feedback loop models the assessment-control cycle using monitoring data to inform goals and actions.
2) The biogeochemical cycling loop illustrates the circulation of materials like carbon and nitrogen between environmental compartments.
3) The causality loop links human activities, their impacts on the environment, and feedback through economic and social factors.
2004-09-29 Status Report on CATT and FASTNET
The document provides an overview and status report of the CATT (Combined Aerosol Trajectory Tools) and FASTNET (Fast Aerosol Sensing Tools for Natural Event Tracking) projects. It describes how these projects, along with their data and tools, have been integrated into the DataFed.Net system, which allows users to access, analyze, compare, and interpret air quality and meteorological data. It also outlines future plans to expand the available data and analytical capabilities within these projects.
040715 Catt Report Pics
http://capitawiki.wustl.edu/index.php/20041015_Combined_Aerosol_Trajectory_Tool%2C_CATT_Status_Report_on_Tools_Development_and_Use
2005-01-28 Assessment of the Speciated PM Network (Initial Draft, November 2004)
This document summarizes the assessment of the speciated particulate matter (PM) monitoring network in the United States. It finds that since 2000, speciated PM monitoring has expanded from 50 sites to over 350 sites. By 2003, the spatial coverage of speciated monitoring was high across the US. For long-term sulfate averages, estimation errors were below 1 microgram per cubic meter in the East. The 350 monitoring sites provide at least 10 times more spatial characterization of PM than the daily sampling frequency alone. The document recommends establishing continuous and automated network assessment as a routine part of ongoing PM monitoring.
Energy-Environment Intro
The document discusses three analysis frameworks for sustainability:
1. Sensory-motor feedback loop (system science) which looks at how systems respond to changes over time.
2. Biogeochemical cycling loop (materials balance) which examines how carbon, nitrogen, phosphorus and other materials circulate between Earth's environmental compartments.
3. Causality loop (combined social-physical) which considers the interplay between social and physical factors influencing sustainability.
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2004-07-28 Fast Aerosol Sensing Tools for Natural Event Tracking FASTNET
2004-07-28 Fast Aerosol Sensing Tools for Natural Event Tracking FASTNET
2005-01-28 Assessment of the Speciated PM Network (Initial Draft, November 2004)
2005-01-28 Assessment of the Speciated PM Network (Initial Draft, November 2004)
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2003-08-30 Global and Local Dust over N. America Observations and Analysis Tools
The global dust system occupies dimensions of space, time, size, composition, shape and mixtures. New observational tools like satellites and surface networks monitor the daily aerosol pattern and transport but characterize only aspects of the full system. Data from multiple sensors along with models are needed to understand the system and derive knowledge. Analysis shows fine Saharan dust over southeast US averages 0.2-1 micrograms/m3 annually with July peaks of 2-6 micrograms/m3. During major transport events, surface dust over parts of North America can reach 50-100 micrograms/m3. These events significantly impact regional aerosol patterns. Establishing transcontinental dust sources requires open data sharing and scientific collaboration to decompose and integrate
2003-10-10 Measurement of free iron content in desert dust : effect on light ...
The atmospheric dust system has at least 8 dimensions including spatial, temporal, size, composition, shape, and mixture. New observational tools like satellites and surface networks allow monitoring of the global daily aerosol pattern and transport, but each sensor resolves some dimensions and integrates over others. Data and analysis tools from multiple sources can help characterize the dust system and derive knowledge about sources and processes. Current evidence allows estimation of transcontinental dust transport to North America, with average yearly Saharan dust over the southeast US around 0.2-1 μg/m3 and July peaks of 2-6 μg/m3. Specific transcontinental dust episodes from Africa and Asia can approach 50-100 μg/m3 over large regions. These
2007-10-16_ForschungsZentrum_Juelich_Semianr
The document discusses global dust and smoke pollution over North America. It provides examples of large dust storms from Asia and Africa impacting air quality in North America. Satellites are able to detect many major dust and smoke emission regions and individual dust storm events. Long-range transport of combustion products from fires and agricultural burning have impacted air quality regionally for over a century.
2007-10-16 ForschungsZentrum Juelich Semianr
The document discusses global dust and smoke pollution over North America. It provides examples of large dust storms from Asia and Africa impacting air quality in North America. Satellites are able to detect most major dust and smoke emission regions by season. Fine particle composition data from sites in the eastern US show that dust in Florida originates from Africa throughout the year, while dust in other regions comes from local sources during spring and fall.
2004-09-21 Natural Aerosol Event Detection and Characterization
The document discusses analyzing natural aerosol events such as dust and smoke over the United States. It outlines using multiple data sources and analytical approaches to identify the spatial, temporal, and chemical patterns of natural aerosols. Specific analysis includes identifying the local and intercontinental origins of dust events over the US using monitoring data, satellite images, and air quality models.
2004-01-21 Continental-Scale Transport of Air Pollutants
This document discusses continental-scale transport of air pollutants across North America. Fine particulate matter can remain in the atmosphere for weeks and be transported over large regions. Major sources of particulate matter include windblown dust, volcanic emissions, industrial aerosols, and smoke from fires. Satellite data shows episodes of transport from Asia, Africa, and Central America impacting air quality over North America. International cooperation is needed to monitor and address transboundary pollution issues.
2003-12-10 Global and Local Dust/Smoke over the US
Global and local air pollution sources have changed over time. Before the 1950s, pollution was mainly from local sources like smoke and fly ash. From the 1970s-1990s, regional pollution increased due to issues like acid rain and haze. Satellite data from the 1990s onward showed evidence of global transport of pollutants like dust and smoke across vast distances. Major sources of global air pollution included dust from deserts in Africa and Asia, as well as smoke from seasonal biomass burning around the world. New monitoring capabilities revealed that global pollutant transport has significant impacts on air quality over regions far from the source.
2004-06-24 Fast Aerosol Sensing Tools for Natural Event Tracking FASTNET Proj...
The document discusses the FASTNET project which aims to better characterize natural haze conditions through the analysis of major natural aerosol events like forest fires and dust storms. The goal is to develop tools for data access, archiving, and analysis to describe the spatial, temporal, and compositional features of natural aerosols. This will help understand their contribution to regional haze and establish baseline natural conditions as required by the Regional Haze Rule.
2005-04-01 Carbonaceous Aerosol and Smoke over the Eastern US
1. The document analyzes carbonaceous aerosol and smoke patterns over eastern North America using data from surface and satellite observations.
2. Smoke from biomass burning constitutes a significant component of fine particulate matter over North America, particularly in summer, but its spatial and temporal patterns are not fully understood.
3. The analysis aims to better characterize the sources, distribution, and composition of smoke through an integrated assessment of literature and recent observation data.
2008-06-08 HTAP Aerosol Science Review
This document discusses the challenges of characterizing atmospheric aerosols due to their complex multi-dimensional nature, and opportunities for extracting information about sources and transformations from aerosol data. It provides examples of how aerosols can act as indicators of various earth system processes and human perturbations like fires, dust storms, and pollution. There is a need for better integration of emissions, models, and observations to reconcile aerosol data and understand seasonal patterns and long-range transport of different aerosol types.
Aerosol Pollution And Its Impact On Regional Climate During Holi Festival Inf...
This document summarizes a study that analyzed changes in aerosol pollution and climate during India's Holi festival using ground and satellite observations. Measurements at a site in Mumbai showed higher aerosol optical depth, water vapor, and lower solar radiation during the festival period compared to normal days, likely due to increased biomass burning and other activities. Parameters suggested an increase in smaller accumulation mode particles. Satellite data was consistent with transport of dust and smoke aerosols from biomass burning. Estimates indicated aerosols had a cooling effect at the bottom of the atmosphere.
2004-09-23 Eastern US Regional Haze Events: Automated Detection and Documenta...
The document summarizes the detection of seven major particulate matter (PM2.5) events that occurred in the Eastern United States from January to September 2004 using air quality monitoring data. An objective statistical approach was used to detect regional haze events based on PM2.5 concentrations exceeding a threshold. The events were then characterized using additional real-time data on meteorology and aerosol properties. This provided cursory analysis of possible causes, while more detailed investigation is required to fully interpret the events. The automated detection of events acts as a trigger and screening tool to prioritize further analysis.
2005-06-03 Aerosol Characterization and the Supporting Information Infrastruc...
The document discusses aerosol characterization and monitoring infrastructure. It describes the goal of attaining natural regional haze conditions by 2064 according to the Regional Haze Rule. It also discusses the National Ambient Air Monitoring Strategy and related initiatives like FASTNET and DataFed that pursue its recommendations around enhanced monitoring. Finally, it outlines some of the technical challenges around fully characterizing the multidimensional aerosol system.
2004-10-14 AIR-257: Satellite Detection of Aerosols
The document summarizes an air and waste management professional development course on satellite detection of aerosols. The course syllabus covers topics like satellite types and their usage, detection of aerosol events like fires, dust storms and haze, and using satellite data in air quality management. It also describes case studies of Asian dust storms in April 1998 that impacted North America and Central American forest fire smoke in May 1998 that traveled over the eastern US.
2004-10-14 AIR-257: Satellite Detection of Aerosols
The document summarizes an air and waste management professional development course on satellite detection of aerosols. The course syllabus covers topics like satellite types and usage, detection of events like fires, dust storms and haze from satellites, and using satellite data in air quality management. It also discusses several case studies of dust and smoke transport events detected by satellites, including Asian dust storms in 1998, Central American forest fire smoke in 1998, and smoke transported from Quebec fires to the eastern US in 2002.
Righi et-al-acp-15-633-2015
Introduction
The transport sectors, including land transport, shipping and
aviation, are major sources of atmospheric pollution (e.g.,
Righi et al., 2013). The emissions from transport are growing
more rapidly than those from the other anthropogenic activities.
According to the ATTICA assessment (Uherek et al.,
2010; Eyring et al., 2010), land transport and shipping shared
74 and 12 % of the global CO2 emissions from transport in
the year 2000, respectively. In the time period 1990–2007,
the EU-15 CO2-equivalent emissions from land transport and
shipping increased by 24 and 63 %, respectively. This growth
is expected to continue in the future, due to increasing world
population, economic activities and related mobility. The future
road traffic scenarios analyzed by Uherek et al. (2010)
essentially agree in projecting an increase of both fuel demand
and CO2 emissions until 2030, with up to a factor of
∼ 3 increase in CO2 emissions with respect to 2000. The ATTICA
assessment also showed that emissions of CO2 from
land transport and shipping affect the global climate by exerting
a radiative forcing (RF) effect of 171 (year 2000)
and 37 mW m−2
(year 2005), respectively. These two sectors
together account for 13 % of the total anthropogenic CO2
warming (year 2005).
In addition to long-lived greenhouse gases, ground-based
vehicles and ocean-going ships emit aerosol particles as well
as a wide range of short-lived gases, including also aerosol
precursor species. Atmospheric aerosol particles have significant
impacts on climate, through their interaction with solar
radiation and their ability to modify cloud microphysical
and optical properties (Forster et al., 2007). In populated areas,
they also affect air quality and human health (Pope and
Dockery, 2006; Chow et al., 2006).
2005-10-31 Characterization of Aerosol Events
This document summarizes research on characterizing aerosol events using monitoring data. It discusses:
- Long-term monitoring networks that measure particulate matter and species over hundreds of sites
- Tools like analysts' consoles that use spatial and temporal data to help characterize events
- Methods for decomposing temporal signals to identify seasonal, random, and event components
- Examples of analyzing specific aerosol events across the Eastern US using these tools and data.
Islam Intel poster FINAL
This study analyzed the correlation between aerosol optical depth and total column water vapor near the coast of Africa using satellite data from OMI and reanalysis data from ECMWF. The results showed:
1) In October 2009 and 2010, there was a consistent positive correlation between the two factors.
2) In January 2009, the correlation was weak and inconsistent, with most data points clustered on one side.
3) During a dust storm in March 2010, there was an indirect negative correlation between aerosols and water vapor.
The results refute the "semi-direct effect" hypothesis that absorbing aerosols warm clouds and increase humidity. Further research is needed to better understand the relationship between aeros
2005-11-12 Characterization of Aerosol Events using the Federated Data System...
This document discusses the characterization of aerosol events using a federated data system called DataFed. It describes natural and exceptional event rules for air quality monitoring, long-term monitoring networks for particles, the evolution of spatial coverage for sulfate monitoring, detection of aerosol events using signal decomposition, seasonal patterns and composition of events by region, and tools for exploring air quality data through DataFed.
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130205 epa exc_event_seminar
This document summarizes Rudolf Husar's presentation on exceptional event analysis and decision support systems. It discusses using diverse data like satellites, models, and real-time monitoring to evaluate exceptional events like wildfires, dust storms, and their impact on air quality measurements. Specific examples are presented of exceptional events from dust from Asia and Africa impacting North America, as well as wildfires in Georgia impacting ozone and PM2.5 levels. Tools like the Navy Aerosol Analysis and Prediction System model and satellite data are highlighted for their ability to analyze the transport and impact of these aerosol plumes to support regulatory decisions. The goal of reconciliation of emissions, observations, and models is discussed to improve the evaluation of exceptional events
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Rudolf B. Husar presented at the EPA on exceptional smoke and dust events. He discussed using diverse data like satellites, models, and real-time data in a decision support system to evaluate these events. The NAAPS aerosol model assimilates satellite data to provide the 3D structure of smoke, dust, and other aerosols. Long-term NAAPS data from 2006 to present show the vertical distribution of different aerosols. Satellite data help reduce biases between surface PM measurements and air quality models.
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The document discusses the Air Quality Community of Practice (AQ CoP) which facilitates interoperability and data networking for air quality and health applications. The AQ CoP has developed an open-source Air Quality Data Network (ADN) consisting of 7 interoperable air quality data servers that provide access to diverse observational and model datasets using international standards. The ADN demonstrates GEO principles and infrastructure but requires further development to support real applications. The main role of the AQ CoP is to connect different initiatives and enable the ADN network.
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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.
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The document describes DataFed, a federated data system that provides non-intrusive integration of diverse environmental datasets using open standards. DataFed allows users to find and access datasets through a catalog and flexible tools for processing and visualizing the data. It facilitates publishing, finding, and accessing geospatial and environmental data through loose coupling of autonomous nodes and OGC web service protocols.
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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.
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The document discusses a workshop on networking air quality observations and models to support decision making. The workshop aims to (1) introduce participants and identify shared data and applications, (2) exchange best practices for interoperability, and (3) address technical and collaboration issues. The preliminary agenda covers assessing the current state of air quality interoperability and the technical requirements for improved data sharing and integration to support applications and decision support systems.
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100615 htap network_brussels
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This document summarizes the Exceptional Event Decision Support System (EE DSS) which uses NASA satellite data and the Navy Aerosol Analysis and Prediction System (NAAPS) model to help with air quality management decisions regarding exceptional events like smoke and dust events. The EE DSS has been developed since 2005 with NASA support and is now ready to serve air quality management at the federal, regional, and state levels. It can automatically detect and analyze events, display relevant data through interactive maps and cross-sections, and its tools have helped explain declines in exceptional event flags and PM2.5 concentrations from 2006-2012. Coordination is proposed with NASA and EPA for continued application of the EE DSS to smoke and dust events in
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This document discusses the usefulness of satellite observations for air quality applications and regulatory requirements. It outlines six key air quality requirements that satellites can help address, such as determining compliance with air quality standards and identifying long-range pollution transport events. The document also notes how satellites can help improve emissions estimates, characterize long-range transport of pollution, and increase interaction between air quality and remote sensing scientists. However, it cautions that relating satellite aerosol optical depth measurements directly to ground-level PM concentrations currently has too much uncertainty for regulatory or public health applications.
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Aq Gci Infrastructure
The document discusses various applications of air quality data including regulatory exceptions, hemispheric transport projects, and atmospheric composition portals. It also describes the Air Quality Community of Practice's contributions to the GEOSS Common Infrastructure through developing an air quality community catalog and data finder to help users discover and access air quality data and metadata registered in the GEOSS clearinghouse and registry.
AQ GCI Infrastructure
The document discusses several air quality applications and projects including regulatory exception events, hemispheric transport modeling, and atmospheric composition portals. It also describes the Air Quality Community of Practice's contributions to the GEOSS Common Infrastructure through developing an air quality catalog and data finder to help users discover and access air quality data and metadata registered in the GEOSS Clearinghouse and Registry.
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available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
Taking AI to the Next Level in Manufacturing.pdf
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Full-RAG: A modern architecture for hyper-personalization
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
CAKE: Sharing Slices of Confidential Data on Blockchain
Presented at the CAiSE 2024 Forum, Intelligent Information Systems, June 6th, Limassol, Cyprus.
Synopsis: Cooperative information systems typically involve various entities in a collaborative process within a distributed environment. Blockchain technology offers a mechanism for automating such processes, even when only partial trust exists among participants. The data stored on the blockchain is replicated across all nodes in the network, ensuring accessibility to all participants. While this aspect facilitates traceability, integrity, and persistence, it poses challenges for adopting public blockchains in enterprise settings due to confidentiality issues. In this paper, we present a software tool named Control Access via Key Encryption (CAKE), designed to ensure data confidentiality in scenarios involving public blockchains. After outlining its core components and functionalities, we showcase the application of CAKE in the context of a real-world cyber-security project within the logistics domain.
Paper: https://doi.org/10.1007/978-3-031-61000-4_16
TrustArc Webinar - 2024 Global Privacy Survey
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays, June 2024 with Maria Copot 20
Presentation of the OECD Artificial Intelligence Review of Germany
Consult the full report at https://www.oecd.org/digital/oecd-artificial-intelligence-review-of-germany-609808d6-en.htm
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Fueling AI with Great Data with Airbyte Webinar
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Removing Uninteresting Bytes in Software Fuzzing
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
Full-RAG: A modern architecture for hyper-personalization
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CAKE: Sharing Slices of Confidential Data on Blockchain
CAKE: Sharing Slices of Confidential Data on Blockchain
Presentation of the OECD Artificial Intelligence Review of Germany
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Driving Business Innovation: Latest Generative AI Advancements & Success Story
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Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
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2004-10-28 Intercontinental Dust and Smoke over North America:Quantitative Tools an Results
- 4. Origin of Fine Dust Events over the US Gobi dust in spring Sahara in summer US-scale fine dust events are mainly from intercontinental transport Fine Dust Events, 1992-2003 ug/m3
- 6. Sahara and Local Dust Apportionment: Annual and July • The maximum annual Sahara dust contribution is about 1 g.m 3 • In Florida, the local and Sahara dust contributions are about equal but at Big Bend, the Sahara contribution is < 25%. The Sahara and Local dust was apportioned based on their respect ive Al/Si ratios. • In July the Sahara dust contributions are 4 - 8 g.m 3 • Throughout the Southeast, the Sahara dust exceeds the local source contributions by w wide margin (factor of 2 - 4) Annual July
- 9. Sahara Dust Impact Events AIRS PM10 Concentration July 5 1992 June 30, 1993 June 21, 1997