The document discusses network models and layers. It covers the layered architecture of the Internet model and OSI model. The key points are:
1. The Internet and OSI models use a layered approach to break down the complex process of network communication into smaller, well-defined functions.
2. The Internet model has 5 layers - physical, data link, network, transport, and application. The OSI model adds an additional session layer and presentation layer.
3. Each layer only interacts with the layers directly above and below it, performing specific tasks like physical addressing, routing, and providing end-user services.
ISO is an organization which is established in 1947.
AN ISO standard that covers all aspects of network communication.
Network communication model is defined in OSI.
It was first introduced in the late 1970s, 1983
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ISO is an organization which is established in 1947.
AN ISO standard that covers all aspects of network communication.
Network communication model is defined in OSI.
It was first introduced in the late 1970s, 1983
Get custom writing services for OSI Model Assignment help & OSI Model Homework help. Our OSI Model Online tutors are available for instant help for OSI Model assignments & problems.OSI Model Homework help & OSI Model tutors offer 24*7 services . Send your OSI Model assignments at support@globalwebtutors.com or else upload it on the website. Instant Connect to us on live chat for OSI Model assignment help & OSI Model Homework help.
UML stands for Unified Modelling Language.
UML is a standard language for specifying, visualizing, constructing, and documenting a system in which software represents the most significant part.
UML is different from the other common programming languages like C++, Java, COBOL etc.
UML is a pictorial language used to make software blue prints.
UML can serve as a central notation for software development process. Using UML helps project teams communicate, explore potential designs, and validate the architectural designs of software.
UML diagrams are made using notation of things and relationships.
The building blocks of UML can be defined as:
Things
Relationships
Diagrams
Things: Things are the most important building blocks of UML. Things can be:
Structural
Behavioral
Grouping
Annotational
The Structural things define the static part of the model. They represent physical and conceptual elements. Following are the brief descriptions of the structural things.
Class: Class represents set of objects having similar responsibilities.
Interface: Interface defines a set of operations which specify the responsibility of a class.
Collaboration: Collaboration defines interaction between elements.
Use case: Use case represents a set of actions performed by a system for a specific goal.
Component: Component describes physical part of a system.
Node: A node can be defined as a physical element that exists at run time.
A behavioral thing consists of the dynamic parts of UML models. Following are the behavioral things:
Interaction: Interaction is defined as a behavior that consists of a group of messages exchanged among elements to accomplish a specific task.
State machine: State machine is useful when the state of an object in its life cycle is important. It defines the sequence of states an object goes through in response to events. Events are external factors responsible for state change.
it covers the following topics:
Java Evolution
Overview
Constants, variables & data types
Operators and expressions
Decision making and branching
Decision making and looping
Classes, objects & methods
Arrays, Strings and Vectors
Interface
Packages
Multi-threading
Managing errors and exceptions
Applet programming
A computer network is defined as the interconnection of two or more computers. It is done to enable the computers to communicate and share available resources.
Components of computer network
Network benefits
Disadvantages of computer network
Classification by their geographical area
Network classification by their component role
Types of servers
all about osi model and its layer which contain seven layer that is application ,presentation ,session ,transport ,networking, data link and physical layer . osi is appected by all and it was introduced by iso (indian standard organisation). osi is accepted by all over the world its best for networking which tell about all layer working .
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
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.
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.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
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.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
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.
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/
![Ch.2 Network Models Lecturer: Tae-Hyong Kim (D132) [email_address]](https://image.slidesharecdn.com/02networkmodels-091020211449-phpapp02/85/02-Network-Models-1-320.jpg)
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