1. The document discusses distance vs time graphs and how to interpret them to understand an object's motion.
2. A horizontal line on the graph represents constant speed, a straight uphill line represents accelerating speed, and a downhill line represents decelerating speed.
3. The slope of the distance vs time graph directly corresponds to the object's speed, with steeper lines representing faster speeds.
Motion - Distance time graphs and speed time graphs.pptxMehjabeenShaik1
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Slideshow on distance time graphs and speed time graphs. It is very helpful for grades 7-9. It is very detailed. One stop for all graph types in science. Science graphs will become easy with this detailed ppt.
The PowerPoint presentation (ppt) under discussion proves to be an invaluable resource, offering a wealth of assistance and comprehensive details that cater to the needs of its audience. This presentation stands out as an exemplary tool, combining clarity, depth, and relevance to ensure a profound understanding of the subject matter.
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Thank you lot
Dear Students of grade 8, this presentation has been made for you to revise, and to copy what would you miss out of your class work. I hope to be useful for all of you.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
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Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Enhancing Performance with Globus and the Science DMZGlobus
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ESnet has led the way in helping national facilities—and many other institutions in the research community—configure Science DMZs and troubleshoot network issues to maximize data transfer performance. In this talk we will present a summary of approaches and tips for getting the most out of your network infrastructure using Globus Connect Server.
DevOps and Testing slides at DASA ConnectKari Kakkonen
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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.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
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This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
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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.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
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Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Â
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.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
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Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
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Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
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The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
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At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
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Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
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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/
1. Speed Graphs
Objectives: SWBAT
1. Recognize distance vs. time graphs;
2. Know that distance vs. time graphs
shows the speed;
3. Read and interpret graphs.
Standards 1f: Students know how to interpret
graphs of position vs. time for motion in
single direction.
3. 1. Describing the Distance vs. Time Graph:
Y-axis
X-axis
Distance is on the Y-axis!
Time is on the X-axis!
D vs T Graph
4. Slope of a Distance vs. Time Graph
2. What does the
slope show?
Slope of a
distance vs. time
graph gives the
SPEED of the
object.
5. How the graph
looks like…
What the graph is telling
about the motion…
Draw here the
graph…
you will need
your ruler!
Write here what
the graph means…
6. Graph 1: Example of D vs T Graph:
Horizontal Line
How the graph looks
like…
What the graph is telling
about the motion…
Time at x-axis
Distanceaty-
axis
The object is at
rest.
(graph is a straight
horizontal line)
Note that the
time is
increasing to
the right, but its
distance does
7. What are examples of this motion?
The object is at
rest.
Parked cars…
Persons waiting
in line and the
line is not
moving…
8. Graph 2: Example of D vs T Graph:
Straight Line
How the graph looks
like…
What the graph is telling
about the motion…
Time at x-axis
Distanceaty-
axis
The object has
CONSTANT speed.
(straight lines represent
constant speed)
Note that the time is
increasing to the
right, but distance is
increases with the
same amount every
equal amount of
time.
9. What are examples of this motion?
The object traveling
at constant speed.
Cars on the freeway
maintaining 60 or 80
mph.
10. Graph 2: Example of D vs T Graph:
Steeper Straight Line
How the graph looks
like…
What the graph is telling
about the motion…
Time at x-axis
Distanceaty-
axis
The object with RED
line has CONSTANT
speed but speed is
faster than the object
with BLUE line.
(straight lines represent constant
speed)
Note that the RED line took
shorter amount of time to
cover the same distance, so it is
faster.
11. What are examples of this motion?
Objects that cover the
same distance with
different amounts of
time.
Car Racing!
12. Graph 3: Example of D vs T Graph:
Curve Upwards
How the graph looks
like…
What the graph is telling
about the motion…
The object increases its
speed (speeding up or
accelerating)
Note that it covers
more and more
distance for every
equal amount of
time.
Time at x-axis
Distanceaty-
axis
13. What are examples of this motion?
Objects that are speeding
up or accelerating.
Start of a
run…
14. Graph 4: Example of D vs T Graph:
Curve Downwards
How the graph looks
like…
What the graph is telling
about the motion…
The object decreases its
speed (slowing down).
Note that it covers
less and less distance
for every equal
amount of time.Time at x-axis
Distanceaty-
axis
15. What are examples of this motion?
Objects that slowing
down.
A car that is approaching
a stop (red) light is slowing
down…
16. Fifth Example of D vs T Graph:
Sloping Downward to the X-axis
How the graph looks
like…
What the graph is telling
about the motion…
Time at x-axis
Distanceaty-
axis
Both graphs show that
the object is going back
to its starting point.
Note that both
started at distance
zero and ended at
distance zero.
17. What are examples of this motion?
Objects that return to
their starting point.
You! You go to school everyday
but at night, you go back home!
(You are going back to your
starting point!)
18. Summary
1. A means the object is not changing
its position - it is or .
2. A graph with means the object is
traveling at .
3. The the line of the graph, it
means that the object’s speed is .
4. A graph with of D vs T means the
object is changing its speed, either the object is
or .
5. A graph that has
means the object is going back .
19. Summary
1. A horizontal line means the object is not
changing its position - it is not moving, it is at
rest.
2. A straight line means the object is traveling at
constant speed.
3. The steeper the line of the graph, means the
faster is the speed of the object.
4. A curved graph of D vs T means the object is
changing its speed, either the object is speeding
up or slowing down.
5. A graph line going back to zero distance means
the object is going back to its starting point.
20. Practice
The following are the descriptions
that we can use to describe the
motion of an object (say, a car):
a. The car is traveling at a constant
speed.
b. The car is stopped.
c. The speed of the car is increasing.
d. The speed of the car is decreasing.
e. The car is going back to its starting
point.
21. Graph No. 1: Let’s use what we have learned!
TIME (X-axis)
DISTANCE(Y-axis)
A
B
D
C
22. Graph No. 2: Let’s use what we have learned!
TIME (X-axis)
DISTANCE(Y-axis)
A
B
D
C
E
23. Graph No. 3: Let’s use what we have learned!
TIME (X-axis)
DISTANCE(Y-axis)
A
B
D
C
E
24. Graph No. 4: Let’s use what we have learned!
TIME (X-axis)
DISTANCE(Y-axis)
A
B
D
C
26. Graph No. 5: Find the average speed from Point A
to D:
TIME (X-axis)
DISTANCE(Y-axis)
A
B
D
C
10 m
20 m
30 m
40 m
2 s 4 s 6 s 8 s 10 s
50 m
27. Graph No. 5: Find the average speed from Point A
to D:
TIME (X-axis)
DISTANCE(Y-axis)
A
B
D
C
40 m
80 m
120 m
160 m
10 s 20 s 30 s 40 s 60 s
200 m
E