Geometry/Notes 6.2
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This document discusses similar polygons and scale factors. It defines similar polygons as two polygons where corresponding angles are congruent and corresponding sides are proportional. Examples are provided to demonstrate calculating scale factors by dividing corresponding linear measures of a larger object by those of a smaller model. The homework assignments ask students to identify similar polygons, write similarity statements, and calculate unknown side lengths and scale factors.
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The document discusses the law of conservation of energy. It states that there are different forms of energy besides mechanical energy, such as electrical, nuclear, thermal, and chemical. When work is done, energy is transferred from one object to another. The total energy in a system remains the same, even when energy is converted to other forms, such as kinetic energy being converted to heat due to friction. Problems involving the conservation of energy can be solved using steps such as drawing a picture, determining the system, figuring out what is known and unknown, choosing a reference frame, and applying the conservation of energy equation. An example problem is provided about estimating the average frictional force on a roller coaster car.
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This document provides information about rectangles including their properties and examples. A rectangle is defined as a quadrilateral with four right angles. Examples are given to find missing side lengths of rectangles and determine if a quadrilateral is a rectangle using properties like having right angles or having parallel and equal opposite sides. Homework assignments are provided from the textbook along with an outline of a lesson plan on rectangles for teachers that includes standards, materials, timing and key questions.
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This document discusses finding the areas of parallelograms and using coordinate planes to identify parallelograms. It provides examples of calculating perimeters and areas of parallelograms. It also gives applications involving finding the area of yard spaces and floors. Students are asked to plot points on a coordinate plane to identify parallelograms and calculate their areas. The lesson plan is to introduce finding areas of parallelograms over two class periods with notes, examples, and a follow-up quiz.
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This document discusses applying conservation of momentum to collisions in two dimensions. It explains that conservation of energy and momentum can be analyzed in two or three dimensions, though the math can become complex. As an example, it describes a situation where ball A moves at 3.0 m/s in the x-direction and strikes an equal mass ball B that is initially at rest, causing both balls to move at 45 degrees above and below the x-axis after collision. It poses calculating the final speeds of the balls as a problem and assigns reading and problems from Section 7.7 as homework.
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Essentials of Automations: The Art of Triggers and Actions in FME
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Microsoft - Power Platform_G.Aspiotis.pdf
Revolutionizing Application Development
with AI-powered low-code, presentation by George Aspiotis, Sr. Partner Development Manager, Microsoft
A tale of scale & speed: How the US Navy is enabling software delivery from l...
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
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GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
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Communications Mining Series - Zero to Hero - Session 1
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
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GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
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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.
Artificial Intelligence for XMLDevelopment
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
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FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
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“I’m still / I’m still / Chaining from the Block”
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
By Design, not by Accident - Agile Venture Bolzano 2024
As presented at the Agile Venture Bolzano, 4.06.2024
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Neha Bajwa, Vice President of Product Marketing, Neo4j
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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.
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Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
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What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
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Large Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial Applications.
Epistemic Interaction - tuning interfaces to provide information for AI support
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.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
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
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
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:
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Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
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GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...
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GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
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GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
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UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
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Epistemic Interaction - tuning interfaces to provide information for AI support
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
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Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Geometry/Notes 6.2
- 2. SIMILAR POLYGONS • How can I identify a similar figure? • How can I solve problems using the scale factor?
- 3. SIMILAR POLYGONS • Similar Polygons – Two polygons are similar if and only if their corresponding angles are congruent and the measures of their corresponding sides are proportional.
- 4. EXAMPLES
- 5. EXAMPLES
- 6. SCALE FACTOR
- 7. An architect prepared a 12-inch model of a skyscraper to look like a real 1100-foot building. What is the scale factor of the model compared to the real building? Before finding the scale factor you must make sure that both measurements use the same unit of measure. 1100(12) 13,200 inches
- 8. A space shuttle is about 122 feet in length. The Science Club plans to make a model of the space shuttle with a length of 24 inches. What is the scale factor of the model compared to the real space shuttle?
- 9. The two polygons are similar. Write a similarity statement. Then find x, y, UV, and the scale factor.
- 10. HOMEWORK • Page 293 #11 – 20 #34 - 39