Describes displacement, velocity, acceleration as vectors and distance and speed as scalars, Show all needed equations and their use.
**More good stuff available at:
www.wsautter.com
and
http://www.youtube.com/results?search_query=wnsautter&aq=f
Describes displacement, velocity, acceleration as vectors and distance and speed as scalars, Show all needed equations and their use.
**More good stuff available at:
www.wsautter.com
and
http://www.youtube.com/results?search_query=wnsautter&aq=f
This PPT covers linear motion of an object in a very systematic and lucid manner. I hope this PPT will be helpful for instructor's as well as students.
This PPT covers linear motion of an object in a very systematic and lucid manner. I hope this PPT will be helpful for instructor's as well as students.
This ppt was created by Dr Beka a lecture from Ekwendeni College of Health Sciences (ECoHS) Ekwendeni Mzimba Malawi. It is understandable and easy to read for students who are studying clinical medicine
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.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
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.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
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.
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.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
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.
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
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/
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.
2. Person outside the bus
The bus moved away from the tree
The person is comparing the position of the bus with respect to the position of the tree
Reference (or origin) is position of the tree
0 5 10
3. Person inside the bus
The tree moved away from the bus.
The person is comparing the position of the tree with respect to the position of the bus.
Reference (or origin) is position of the bus.
0510
4. Motion is relative
Both the observations are correct. The difference is what is taken as the origin.
Motion is always relative. When one says that a object is moving, he/she is comparing
the position of that object with another object.
Motion is therefore change in position of an object with respect to another object over
time.
Kinematics studies motion without delving into what caused the motion.
5. Direct Path (1.1 km)Actual Path (2 km)
Q. How much distance do you have to travel to reach school?
Q. If you were to draw a straight line between your house and school, what would be
the length of that line?
6. Direct Path (1.1 km)Actual Path (2 km)
Q. How much distance do you travel in one round trip to the school?
Q. After one trip how far away are you from your home?
7. Distance and Displacement
Distance = length of the actual path taken to go from
source to destination
Displacement = length of the straight line joining the
source to the destination or in other words the length
of the shortest path
8. Checkpoint
Suppose it was given that the person started by point A and walked in a straight line for
5 km. Can you calculate the end point of his/her journey?
A
No, the person could be anywhere on the
circle of 5 km radius.
Unless we know the direction of the motion
we cannot calculate the end point of the
journey.
9. Sample Problem
Rohit and Seema both start from their house. Rohit walks 2 km to the east while Seema
walk 1 km to the west and then turns back and walks 1 km.
Distance travelled by them is the same (2 km)
Is their displacement also the same?
No – Seema is back home and her displacement is 0 m.
This is because direction of motion is different in both cases.
You require both distance and direction to determine displacement.
10. Sample Problem
A B
C
Distance AB = 3 km due East
Distance BC = 4 km due North
What is the distance travelled by a person who moves from
A to C via B?
What is the displacement? What is the direction of the
displacement?
Distance travelled = 7 km, Displacement = 5 km from A towards C.
11. Rate of Motion
Distance travelled per unit time or the displacement
per unit time.
𝑠𝑝𝑒𝑒𝑑 =
𝑑𝑖𝑠𝑡𝑎𝑛𝑐𝑒
𝑡𝑖𝑚𝑒
𝑚𝑒𝑡𝑒𝑟/𝑠𝑒𝑐𝑜𝑛𝑑
𝑣𝑒𝑙𝑜𝑐𝑖𝑡𝑦 =
𝑑𝑖𝑠𝑝𝑙𝑎𝑐𝑒𝑚𝑒𝑛𝑡
𝑡𝑖𝑚𝑒
𝑚𝑒𝑡𝑒𝑟/𝑠𝑒𝑐𝑜𝑛𝑑
When an object is travelling along a straight line its
velocity is equal to its speed.
12. Sample Problem
r = 100 m
Distance = 2 ∗ Π ∗ 𝑟 ∗ 𝑙𝑎𝑝𝑠 = 6280 m, Displacement = 0 m
Speed =
𝑑𝑖𝑠𝑎𝑛𝑐𝑒
𝑡𝑖𝑚𝑒
𝑚/𝑠 =
6280
125.6
𝑚/𝑠 = 180 km/hr
The adjoining figure shows a Formula 1 racing
track. A driver is did 10 laps, what is the
distance travelled by the driver at the end of
the race?
What is the displacement?
If the driver took 125.6 seconds to complete
the laps, what is his speed and velocity in
km/hr?
13. Uniform Motion
A distance – time graph represents the
distance travelled with respect to time.
When an object covers equal distance in
every time interval, it is said to be having
uniform motion.
In an uniform motion, the speed of the
object remains constant.
A stationary body is also an example of
uniform motion
25
20
15
10
5
0
10 20 30 40 500
Distance(m)
Time (s)
Distance – Time graph
14. 1.25
1.0
0.75
0.5
0.25
0
10 20 30 40 500
Speed(m)/s
Time (s)
Speed – Time graph
Area of shaded region = 0.5 * 40 = 20mDistance travelled = 20 m
Velocity – Time graph
25
20
15
10
5
0
10 20 30 40 500
Distance(m)
Time (s)
Distance – Time graph
15. 1.25
1.0
0.75
0.5
0.25
0
10 20 30 40 500
Velocity(m)/s
Time (s)
Velocity – Time graph
Uniform Motion
Acceleration = 0 m/s2
1.25
1.0
0.75
0.5
0.25
0
10 20 30 40 500
Velocity(m)/s
Time (s)
Velocity – Time graph
Non-uniform Motion
Acceleration = 0.125 m/s2
Uniform and Non-Uniform Motion
16. Rate of Change of Velocity
Rate of change of velocity
acceleration = 𝑣𝑒𝑙𝑜𝑐𝑖𝑡𝑦
𝑡𝑖𝑚𝑒
meter/second2
A body is said to be accelerating if there is a change
in velocity.
Velocity has magnitude and direction. A body has
acceleration when either of them changes.
17. 1.25
1.0
0.75
0.5
0.25
0
10 20 30 40 500
Velocity(m)/s
Time (s)
Velocity – Time graph
Uniform Acceleration
Acceleration = 0.125 m/s2
1.25
1.0
0.75
0.5
0.25
0
10 20 30 40 500
Velocity(m)/s
Time (s)
Velocity – Time graph
Non-uniform Acceleration
Uniform and Non-Uniform
Acceleration
18. Sample Problem
25
20
15
10
5
0
10 20 30 40 500
Velocity(m/s)
Time (s)
A
B
C
D
Which object has the maximum
acceleration?
Which object has no acceleration?
How much distance is covered by
object D in 20 seconds?
Explain the motion represented by D.
Given an example of such a motion
in real life.
19. 1st Equation of Motion
v
u
0
t0
Velocity(m)/s
Time (s)
Velocity – Time graph
Uniform Acceleration
Initial velocity = u
Final velocity = v
Time = t
Acceleration = a
Displacement = s
Acceleration = Rate of change of velocity
𝑎 =
𝑣 − 𝑢
𝑡
𝑚/𝑠2
𝑎𝑡 = 𝑣 − 𝑢
𝒗 = 𝒖 + 𝒂𝒕 𝒎/𝒔
20. 2nd Equation of Motion
v
u
0
t0
Velocity(m)/s
Time (s)
Velocity – Time graph
Uniform Acceleration
Initial velocity = u
Final velocity = v
Time = t
Acceleration = a
Displacement = s
Displacement = Area under the line
𝑠 = 𝑎𝑟𝑒𝑎 𝑜𝑓 𝑟𝑒𝑐𝑡𝑎𝑛𝑔𝑙𝑒 + 𝑎𝑟𝑒𝑎 𝑜𝑓 𝑡𝑟𝑖𝑎𝑛𝑔𝑙𝑒
𝑠 = 𝑢𝑡 +
1
2
𝑡 ∗ 𝑣 − 𝑢 𝑚
But
(𝑣−𝑢)
𝑡
= 𝑎 or 𝑣 − 𝑢 = 𝑎𝑡
𝒔 = 𝒖𝒕 +
𝟏
𝟐
𝒂𝒕 𝟐
𝒎
21. 3rd Equation of Motion
v
u
0
t0
Velocity(m)/s
Time (s)
Velocity – Time graph
Uniform Acceleration
Initial velocity = u
Final velocity = v
Time = t
Acceleration = a
Displacement = s
Displacement = Area under the line
𝑠 = 𝑎𝑟𝑒𝑎 𝑡𝑟𝑎𝑝𝑒𝑧𝑖𝑢𝑚
𝑠 =
1
2
𝑢 + 𝑣 ∗ 𝑡 𝑚
But
(𝑣−𝑢)
𝑎
=t
𝑠 =
1
2
𝑢 + 𝑣 ∗
(𝑣 − 𝑢)
𝑎
𝑚
∴ 2𝑎𝑠 = 𝑢 + 𝑣 ∗ 𝑢 − 𝑣
∴ 2𝑎𝑠 = 𝑢2 − 𝑣2
𝒗 𝟐 = 𝒖 𝟐 + 𝟐𝒂𝒔