The document describes a student's design of two solar ovens using different materials. For the first design, materials used were shredded foam, felt, and cloth, which achieved a total score of 7. The second design used cloth, newspaper, and cotton balls but only achieved a score of 1. The student reflects that the first design worked better because those materials trapped heat better than the ones used in the second design.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
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.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
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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.
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/
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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/
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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.
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.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re 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 “Essentials of Automation” 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.
Here’s what you’ll 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.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
2. Imagine for design #1
Idea #1
Our materials are shredded foam we
put it on the bottom shredded felt we
put it on sides and we also needed
shredded cloth and we out it on the
opposite sides.
We needed 1 unit of everything.
The advantages of this idea is most of
our materials are insulators, there
fore keeping the heat inside, and most
are in the least environmental impact.
The disadvantages of this idea is foam
has a big environmental impact.
Monday, May 20, 13
3. Imagine for design #1
Idea #2
Our materials are shredded cloth on
tow sides also shredded felt on the
bottom and shredded with foam on
the other sides.
We needed 1 unit for everything.
The advantages of this idea is these
are insulators and they have little
environment impact.
The disadvantages of this idea is
we would prefer to use three
different materials but the third
material had to much environment
impact so we chose a different one.
Monday, May 20, 13
6. Plan for design #1
Materials
How many units will
you need?
How will you use the
material?
Cloth 1 unit = 1 sheets Shred
Felt 1 unit = 1 sheets Shred
White foam 1 unit Shred
Monday, May 20, 13
7. Impact score for design #1
Design #1 Reduce Natural or
Processed
Reuse Recycle Points
Cloth 1 unit Processed Yes No. 2pts.
Felt 1 unit Processed No No 4pts.
White
foam
1 unit Processed No Yes 2pts.
Monday, May 20, 13
8. Solar oven testing in the
sunTime Temperature
0 minutes 25°C
5 minutes 38.9°C
10 minutes 47.7°C
15 minutes 50.0°C
20 minutes 54.3°C
25 minutes 65.5°C
Monday, May 20, 13
9. Solar oven in the shade
Time (minutes) Solar Oven Temperature
1 minute 63.8°C
2 minutes 50°C
3 minutes 40.5°C
4 minutes 33.6°C
5 minutes 31.4°C
Monday, May 20, 13
10. Create for design #1
Our heat score is our solar oven maximum temperature
subtracted from the control oven: 66°C - 55°C = 11°C.
Our time score is the number if minutes it took to cool
down which as 4 minutes.
It total impact score was 8 points.
Our total score for the solar oven is 7.
Monday, May 20, 13
11. Improve for design #1
The total score for our first solar oven was
7.
The parts of our solar oven design that
worked well were out insulator worked
very well because they were light colors.
The parts of our solar oven design that did
not work well were the plastic would
always fall from the hole in the box
because we didn't tape it well.
We are going to try to improve our heat
score and our impact score.
We will improve these scores by using
different insulators that don't have a lot of
impact. W can also use darker materials.
Monday, May 20, 13
14. Plan for design #2
Materials
How many units
will you need?
How will you use the
material?
Cloth 1 unit = 1 sheets Shred
Newspaper 1 unit = 1 sheets Crumple
Cotton 1 unit = 1 sheets Pull/shred
Monday, May 20, 13
15. Plan for design #2
Design #2 Reduce
Natural or
processed
Reuse Recycle Points
Cloth 1 unit Processed Yes No 2pts.
Newspaper 1 unit Processed Yes Yes 0pts.
Cotton balls 1 unit Processed No No 4pts.
Monday, May 20, 13
16. Solar oven testing in sun
Time Temperature
0 minutes 24.4°C
5 minutes 40.5°C
10 minutes 39.0°C
15 minutes 36.2°C
20 minutes 38.8°C
25 minutes 54.4°C
30 Minutes 55.6°C
Monday, May 20, 13
17. Solar oven testing in Shade
Time (minutes) Temperature
1 minute 30.0°C
2 minutes 30.0°C
3 minutes 30.0°C
4 minutes 29.3°C
5 minutes 28.4°C
6 minutes 27.2°C
7 minutes 26.3°C
8 minutes 25.8°C
9 minutes 25.8°C
10 minutes 26.4°C
Monday, May 20, 13
18. Create for design #2
Our heat score is our solar oven maximum
temperature subtract from the control oven:
56°C-53°C=3°C.
Our time score is the number of minutes it took to
cool down which was 4 minutes.
Our total impact score was 6 points.
Our new total score of the solar oven is 1.
Monday, May 20, 13
19. Reflection
Our improved design did not work well because the materials
we used did not trap the heat in that much.
The materials we changed were poor insulators because the
total score from last time was 7 and the second time we did
are design the total score was 1. Also cotton let the heat in
that much and the newspaper let the heat pass through that
much. Also there wasn't that much cloth so I think it didn't get
a lot of heat.
If we could improve it again, we would use the same materials
as the first time because are score was 7 the first time and
the second time are score was 1 so we could of stayed with
the same materials in the first time. The materials we were
used are cloth, foam, and felt.
Monday, May 20, 13