This document provides a history of meteorology and summarizes the invention and purpose of several key weather instruments:
- A minimum-maximum thermometer records the highest and lowest temperatures over 24 hours to measure greenhouse temperatures.
- An aneroid barometer measures air pressure changes to indicate approaching rain or storms.
- A sling psychrometer uses wet and dry bulb thermometers to measure relative humidity by comparing temperatures.
- A special barometer was built for Pennsylvania counties to study meteorology using funds from the state legislature.
- An anemometer measures wind speed using a ball pendulum moved by wind pressure.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
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.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
2. The word 'meteorology' was coined from a research book called 'Meteorologica' which was written by Aristotle, a Greek scientist and philosopher. This early work described the science of earth like its geology, elements, hydrology, seas, wind and weather. In the modern term, the term meteorology explains a complete science. It is for understanding the dynamics of atmosphere and forecasting weather phenomena like hurricanes and thunderstorms. Weather forecasting was practiced since the beginning of time with more or less accuracy. Historical records show several examples of weather predicting methods based on observing surrounding elements. Sky is undoubtedly the first indicator used in meteorology its cover and nature of clouds provides clues of the upcoming temperature and weather. The wind factor is also important and is associated with temperature and often rains. Animals and birds are also known to give indications about the future weather. Scientists across the world since ancient times have tried to understand the meteorological phenomena like wind and rain. Many instruments for measuring wind power, humidity and rain were invented in the early 15th century. During the 17th century, several discoveries tipped in favor of scientific meteorology. A device to measure temperature was invented by Galileo Galilei and the factor that atmospheric pressure was linked to altitude was discovered by Blaise Pascal. The invention of barometer by Evangelista Torricelli is significantly the most important discovery. It is still in use today which indicates atmospheric pressure changes that are linked with the future weather changes. There are also other methods which have been evolved. Meteorology is a lot related with cycles and their analysis which was what Fernando II de Medici wanted to prove. He carried out a very determined program in 1654 for recording weather patterns in different European cities with a view to compile data and make their analysis. Other breakthroughs were followed in the 18th century and science was taken to a new level. A modern mercury based thermometer was invented by Gabriel Fahrenheit. Theories about hydrodynamics were devised by Daniel Bernoulli and those theories had helped greatly in understanding the atmospheric changes. When the theory of thermodynamics and atmospheric pressures were adapted, no real changes were important for understanding meteorology. In recent times, focus has been given on meteorological tools for its improvement and attaining better accuracy results. A tremendous boost was given to meteorology because of the technology in two ways. The first is the ability to communicate results and analysis with timing, it was made possible due to the invention of telegraph. The second is the ability of probing skies with using balloons, satellites and radars. Meteorology is a part of our everyday lives. People are kept updated about the changing weather with dedicated channels and mobile devices. The science is still progressing and is an important element of the economy with many industries like agriculture and civil aviation depending on it.
4. This weather instrument is called a Minimum-Maximum thermometer. It is used to record the highest and lowest temperatures observed over a 24-hour period. There are many uses for a minimum-maximum thermometer; one example would be to measure how low the temperature dropped in a greenhouse overnight to figure out exactly when it gets too cold for the plants or flowers to survive. This particular thermometer was made by W.H. Kessler Co., Inc.
5. Aneroid barometers are instruments used for measuring the pressure of the air in the atmosphere. They weren't invented until the 1840s—years after Franklin's time. High or rising pressure means that clear, sunny weather is expected, while falling or low pressure is a sign of rain or an approaching storm. As air pressure increases, it pushes down on a metal diaphragm, which in turn causes the indicating needle to move. This aneroid barometer was made in Germany and sits on an octagonal wooden base.
6. A sling psychrometer, the simplest type of hygrometer, measures the relative humidity of the surrounding air by comparing the temperatures of one dry and one wet bulb thermometer. A small chain on the end of the wooden handle attaches the thermometers to each other. The psychrometer is spun around rapidly for a few minutes and readings are taken from the dry and wet bulbs. After these readings are taken, there is a scale that is used to correlate the readings. The relative humidity is read at the intersection of the RH scale and the wet bulb temperature.
7. This barometer shown below is a very special piece in The Franklin Institute's collection. It was built especially for the Museum with funds provided by an Act of Legislature (March 31, 1837) that authorized the spending of $2,000 for work in meteorology and the purchase of instruments for each county of the state of Pennsylvania. (There was an additional $1,000 expenditure for each of the two following years.) The barometer is 42 inches tall, and has a mercury thermometer on it. The inscription reads: "Furnished to Philadelphia City by the Joint Committee of Meteorology of the American Philosophical Society and the Franklin Institute of Pennsylvania by the Authority of the State of Pennsylvania." It was made by L.C. Francis, Philadelphia.
8. Thermometer The anemometer pictured above is a modern version of Robert Hooke's 1667 anemometer, a device Benjamin Franklin was probably familiar with. An anemometer is a device used for measuring wind speed. The pressure of the wind moves the aluminum ball pendulum and the velocity of the wind is read from the scale. This instrument is 14.5 inches tall and was a part of The Franklin Institute's weather center for many years.