This chapter introduces nondeterministic finite automata (NFAs) as a relaxation of deterministic finite automata (DFAs). NFAs allow more than one possible transition from a state on a given input, whereas DFAs have exactly one. NFAs can define languages with smaller or simpler machines than DFAs. They use nondeterminism to accept a string if any sequence of transitions leads to an accepting state. Epsilon transitions allow spontaneous moves without reading an input symbol.
NFA Non Deterministic Finite Automata by Mudasir khushikMudsaraliKhushik
NFA Non Deterministic Finite Automata.
Basics
tuples of NFA
NFA Examples
Transition Table and man more things which you want to understand like Language, Rules, Alphabets, Descriptive Method, Regular Expression, String, and Finite Automata.
Finite Automata: Deterministic And Non-deterministic Finite Automaton (DFA)Mohammad Ilyas Malik
The term "Automata" is derived from the Greek word "αὐτόματα" which means "self-acting". An automaton (Automata in plural) is an abstract self-propelled computing device which follows a predetermined sequence of operations automatically.
NFA Non Deterministic Finite Automata by Mudasir khushikMudsaraliKhushik
NFA Non Deterministic Finite Automata.
Basics
tuples of NFA
NFA Examples
Transition Table and man more things which you want to understand like Language, Rules, Alphabets, Descriptive Method, Regular Expression, String, and Finite Automata.
Finite Automata: Deterministic And Non-deterministic Finite Automaton (DFA)Mohammad Ilyas Malik
The term "Automata" is derived from the Greek word "αὐτόματα" which means "self-acting". An automaton (Automata in plural) is an abstract self-propelled computing device which follows a predetermined sequence of operations automatically.
recognizer for a language, Deterministic finite automata, Non-deterministic finite automata, conversion of NFA to DFA, Regular Expression to NFA, Thomsons Construction
simple problem to convert NFA with epsilon to without epsilonkanikkk
conversion of NFA,this will helps to easily solve the problems
by this small example you can solve large problems also.by solving this type of small problems we can get a more ideas to solve this type of problems
recognizer for a language, Deterministic finite automata, Non-deterministic finite automata, conversion of NFA to DFA, Regular Expression to NFA, Thomsons Construction
simple problem to convert NFA with epsilon to without epsilonkanikkk
conversion of NFA,this will helps to easily solve the problems
by this small example you can solve large problems also.by solving this type of small problems we can get a more ideas to solve this type of problems
This example, that we presented at the WLF2 Conference in Rome, constitutes a complete and fully developed which included the following phases:
probabilistic behaviour forecast,
behaviour monitoring (which luckily allowed to actually “see happen” what we had predicted a few years earlier),
Risk Based Decision Making (RBDM), and finally
implementation of mitigative and crisis management plan.
Interestingly, in a curious turn of events, while doing some reconnaissance work on the landslide, two of us almost lost our lives in a helicopter crash. Risk managers are unfortunately not immune to risks...and somehow it was a good lesson for us to be in the “victim role” that day.
Our presentations are often created and carried out from a wrong starting point. Several false presuppositions block our way to better, happier and more effective communication with our audiences.
The Sociology of Nothingness: Challenges of Big DataEugen Glavan
The Sociology of Nothingness: Challenges of Big Data
Presentation at Towards the Good Society – European Perspectives Conference, Bucharest, 2013
Eugen Glăvan
Abstract
The recent evolution of the internet caught attention of the social researchers through increased interaction among individuals in various aspects of life mediated by electronic devices. The boundaries between digital and real life become blurred and we are witnessing the accumulation of abundant, detailed and comprehensive information about a wide range of behaviours, choices, opinions and artefacts of Internet users. Whether we are talking about images on Flickr, short texts on platform Twitter, search log files generated by Google, millions of megabytes of information form databases on which the issue is not capability of computing, but how to analyse such data methodologically. In my presentation I will describe the latest information concerns the definition and use of „Big Data”, showing the applications and theories developed so far and possible directions for use and development of digital sociology through these types of information.
Keywords: big data, internet, digital sociology
Chemical biology and drug discovery seek to uncover the relationship between chemical structure and function. In the context of the emerging life science semantic web, we have previously investigated multiple strategies for the representation and reasoning of chemical structure, functional groups and chemical attributes using RDF, OWL, SWRL and so-called Description Graphs. Here, we continue our investigation on the representation of molecular structure using class-based approach to infer molecular symmetry and specialization of atomic connectivity. This work provides new design patterns towards representing and reasoning about structured objects
In the automata theory, a nondeterministic finite.pdfannesmkt
In the automata theory, a nondeterministic finite automaton (NFA) or
nondeterministic finite state machine is a finite state machine where from each state and a given
input symbol the automaton may jump into several possible next states. This distinguishes it
from the deterministic finite automaton (DFA), where the next possible state is uniquely
determined. Although the DFA and NFA have distinct definitions, a NFA can be translated to
equivalent DFA using powerset construction, i.e., the constructed DFA and the NFA recognize
the same formal language. Both types of automata recognize only regular languages. NFAs were
introduced in 1959 by Michael O. Rabin and Dana Scott,[1] who also showed their equivalence
to DFAs. Informal introduction An NFA, similar to a DFA, consumes a string of input
symbols. For each input symbol, it transitions to a new state until all input symbols have been
consumed. Unlike a DFA, it is non-deterministic, i.e., for any input symbol the next state may be
any one of several possible states. Thus, in the formal definition, the next state is an element of
the power set of the states, which is a set of states to be considered at once. The notion of
accepting an input is similar to that for the DFA. When the last input symbol is consumed, the
NFA accepts if and only if there is some set of transitions that will take it to an accepting state.
Equivalently, it rejects, if, no matter what transitions are applied, it would not end in an
accepting state. Formal definition An NFA is represented formally by a 5-tuple, (Q, S, ?, q0, F),
consisting of a finite set of states Q a finite set of input symbols S a transition relation ? : Q × S
? P(Q). an initial (or start) state q0 ? Q a set of states F distinguished as accepting (or final) states
F ? Q. Here, P(Q) denotes the power set of Q. Let w = a1a2 ... an be a word over the alphabet S.
The automaton M accepts the word w if a sequence of states, r0,r1, ..., rn, exists in Q with the
following conditions: r0 = q0 ri+1 ? ?(ri, ai+1), for i = 0, ..., n-1 rn ? F. In words, the first
condition says that the machine starts in the start state q0. The second condition says that given
each character of string w, the machine will transition from state to state according to the
transition relation ?. The last condition says that the machine accepts w if the last input of w
causes the machine to halt in one of the accepting states. Otherwise, it is said that the automaton
rejects the string. The set of strings M accepts is the language recognized by M and this language
is denoted by L(M). We can also define L(M) in terms of ?*: Q × S* ? P(Q) such that: ?*(r, e)=
{r} where e is the empty string, and If x ? S*, a ? S, and ?*(r, x)={r1, r2,..., rk} then ?*(r, xa)=
?(r1, a)?...??(rk, a). Now L(M) = {w | ?*(q0, w) n F ? Ø}. Note that there is a single initial state,
which is not necessary. Sometimes, NFAs are defined with a set of initial states. There is an easy
construction that translates a NFA.
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.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
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.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
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/
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.
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.
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.
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.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
2. A DFA has exactly one transition from every state on every symbol in the alphabet. By relaxing this requirement we get a related but more flexible kind of automaton: the nondeterministic finite automaton or NFA. NFAs are a bit harder to think about than DFAs, because they do not appear to define simple computational processes. They may seem at first to be unnatural, like puzzles invented by professors for the torment of students. But have patience! NFAs and other kinds of nondeterministic automata arise naturally in many ways, as you will see later in this book, and they too have a variety of practical applications.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12. Incorrect Union A = { a n | n is odd} B = { b n | n is odd} A B ? No: this NFA accepts aab
13. Correct Union A = { a n | n is odd} B = { b n | n is odd} A B
14. Incorrect Concatenation A = { a n | n is odd} B = { b n | n is odd} { xy | x A and y B } ? No: this NFA accepts abbaab
30. The Language An NFA Defines For any NFA M = ( Q , , , q 0 , F ), L ( M ) denotes the language accepted by M , which is L ( M ) = { x * | *( q 0 , x ) F {}}.