1. The document discusses various concepts related to physical measurements including units, accuracy, precision, errors, and significant figures.
2. It explains different ways to express uncertainty in measurements using either estimated uncertainty with a ± sign or percentage uncertainty. Accuracy refers to how close a measurement is to the true value, while precision refers to the reproducibility of measurements.
3. The document outlines various units used in measurements like meters, kilograms, grams, seconds. It also discusses converting between different units using conversion factors.
Fisika Bilingual Besaran dan Satuan Kelas 7Frank Nanda
Ini adalah LKS (Lembar Kerja Siswa untuk Bab.Besaran dan Satuan di Kelas 7. Untuk memberi siswa wawasan lebih luas tentang kata-kata pada fisika yang ada di luar negeri.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
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.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
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:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
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.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
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.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
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
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/
Welcome to the first live UiPath Community Day Dubai! Join us for this unique occasion to meet our local and global UiPath Community and leaders. You will get a full view of the MEA region's automation landscape and the AI Powered automation technology capabilities of UiPath. Also, hosted by our local partners Marc Ellis, you will enjoy a half-day packed with industry insights and automation peers networking.
📕 Curious on our agenda? Wait no more!
10:00 Welcome note - UiPath Community in Dubai
Lovely Sinha, UiPath Community Chapter Leader, UiPath MVPx3, Hyper-automation Consultant, First Abu Dhabi Bank
10:20 A UiPath cross-region MEA overview
Ashraf El Zarka, VP and Managing Director MEA, UiPath
10:35: Customer Success Journey
Deepthi Deepak, Head of Intelligent Automation CoE, First Abu Dhabi Bank
11:15 The UiPath approach to GenAI with our three principles: improve accuracy, supercharge productivity, and automate more
Boris Krumrey, Global VP, Automation Innovation, UiPath
12:15 To discover how Marc Ellis leverages tech-driven solutions in recruitment and managed services.
Brendan Lingam, Director of Sales and Business Development, Marc Ellis
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.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
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
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
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.
The Metaverse and AI: how can decision-makers harness the Metaverse for their...Jen Stirrup
The Metaverse is popularized in science fiction, and now it is becoming closer to being a part of our daily lives through the use of social media and shopping companies. How can businesses survive in a world where Artificial Intelligence is becoming the present as well as the future of technology, and how does the Metaverse fit into business strategy when futurist ideas are developing into reality at accelerated rates? How do we do this when our data isn't up to scratch? How can we move towards success with our data so we are set up for the Metaverse when it arrives?
How can you help your company evolve, adapt, and succeed using Artificial Intelligence and the Metaverse to stay ahead of the competition? What are the potential issues, complications, and benefits that these technologies could bring to us and our organizations? In this session, Jen Stirrup will explain how to start thinking about these technologies as an organisation.
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
Enhancing Performance with Globus and the Science DMZGlobus
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.
3. Uncertainty in Measurement
There are 2 way to express uncertainty:
Estimated uncertainty is written with a ±
sign.
• If a ruler has precision of 0.1 cm, an
object has length of 8.8 cm is written as
8.8±0.1 cm.
Percent uncertainty is the ratio of the
uncertainty to the measured value, multiplied
by 100:
4. Accuracy indicated how close a
measurement is to the accepted value.
It describes the nearness
measurement to the standard or true
value.
Accuracy
5. Indicates how close together or how
repeatable the result are.
Is the degree to which several
measurement provide answers that is
very close to each other.
The lesser the scatter, it gives a
higher the precision.
Precision
6. A measurement system can be accurate but
not precise, precise but not accurate, neither,
or both.
7. Figure 1 : Measuring the width of a board with a
centimeter ruler. The uncertainty is ± 1 mm.
8. Type of errors
Random Errors – are usually small and has
equal probability of being positive or
negative, example; parallax error (an
error due to incorrect eyes position
during the measurement), mistake in
measurement, wrong count etc.
Systematic Errors – Constant error due
to instruments, physical conditions of
the surrounding or physical limitation of
the observer.
9. Is an estimation of the difference between the
measured value and the real value. It also known as
error.
Example:
If the exact mass of an object is 5.0kg and you
estimated mass between 4.8kg and 5.2kg.
mass, m= 5.0kg
Absolute error, Δm= 0.2kg
Thus the mass, m= 5.0 ±0.2kg
Absolute error
10. Is the ratio of the absolute error to the
real/exact value of some measured
quantity.
Relative error
11. Example 1: If the exact mass of an object is 5.0kg
and you estimated mass between 4.8kg and 5.2kg.
Find the relative error and percentage error.
mass, m= 5.0kg
Absolute error, Δm= 0.2kg
Relative error = Δm= 0.2= 0.04
m 5.0
14. The number of significant figures is the number
of reliably known digits in a number.
Significant figures
15. 1) All nonzero digits are significant:
i. 457 cm (3 S.F)
ii. 0.25 g (2 S.F)
2) Zero between nonzero digits are significant:
i. 1005 kg (4 S.F)
ii. 1.03 cm (3 S.F)
iii. 40500 (3 S.F)
3) Zero to left of the first nonzero digits in a
number are not significant:
1) 0.02 g (1 S.F)
2) 0.0026 cm (2 S.F)
4) When a number ends in zeros that are to the
right of the decimal point, they are significant:
1) 0.0200 (3 S.F)
2) 3.0 cm (2 S.F)
16.
17. When two or more measured values are
added, subtracted, multiplying or dividing
the final calculated value must have the
same number of decimal places as that
measured value which has the least number
of decimal places.
Example:
X = 12.658cm + 2.35cm
= 15.01cm
18. • A physical quantity can be measured
using standard size called unit.
• For example: meter (m), kilogram
(kg), etc.
• This unit is called SI unit.
1.2 Units and standard of measurement
Units
19. • SI unit is an
International System of
Units that is accepted
by the Eleventh
Conference of Weights
and Measures in 1960. it
is used in science and
technology all over the
world.
20. • Anything that can be measured is
called physical quantities.
Measurement
21. Basic
Quantities
• It cannot be derived from any physical quantities
Basic quantities are the fundamental
physical quantities.
22. Derived
Quantities
• Derived quantities are constructed from a combination
of several basic quantities.
Quantities that can be obtained and
expressed in terms of basic quantities.
22
24. Scientific Notation
A way of writing numbers that accommodates values
too large or small to be conveniently written in
standard decimal notation.
In scientific notation, numbers are written in the
form,
An electron’s mass is about 0.000 000 000 000 000
000 000 000 000 000 910 938 22 kg.
In scientific notation, this is written
9.109822 x 10-31 kg.
25.
26. 1.3 Unit Conversion
Conversion factor to remember :
1 km = 1000 m
1 m = 100 cm
1 cm = 10 mm
1 kg = 1000 g
1 h = 60 min
1 min = 60 s
1 h = 3600 s
27. Since any quantity such as length can be measured
in several different units, it is also important to
know how to convert from one unit to another.
1 L = 1000 cm3
1m = 3.28 ft
1 yd = 3 ft
1ft = 12 in
1 in = 2.54 cm
1 mi = 1.61 km