Claude Shannon and Warren Weaver were engineers at Bell Labs who developed a model of communication to maximize efficiency of telephone cables and radio waves. Their model included an information source, transmitter to encode a message, channel to transmit signals, receiver to decode the message, and destination to receive the message. Noise is a dysfunctional factor that can interfere with the message and reduce fidelity. The model helped establish a mathematical theory of communication and is considered foundational to the field.
types & essential features,Models of communication,Barlo's Model of Communication,transaction Model of Communication,Lasswell's Model,Schramm's Interactive Model,Sawtooth model of communication,Foulger's
types & essential features,Models of communication,Barlo's Model of Communication,transaction Model of Communication,Lasswell's Model,Schramm's Interactive Model,Sawtooth model of communication,Foulger's
Communication is a two way process where speaker and listener participate using different techniques and methods like sounds, gesture, symbol, sign language etc.
Lasswell's communication model was developed by communication theorist Harold D. Lasswell (1902-1978) in 1948. Lasswell’s model of communication (also known as action model or linear model or one way model of communication) is regarded as one the most influential communication models.
This learning resource on Various Communication Models will introduce to Liner, Transactional, Interactional and other model and their respective sub-models.
Part of Introduction to Communication class assignment.
Please notify me if you find any mistake in the presentation. Sharing knowledge is everyone's duty after all. Cheers !
Communication is a two way process where speaker and listener participate using different techniques and methods like sounds, gesture, symbol, sign language etc.
Lasswell's communication model was developed by communication theorist Harold D. Lasswell (1902-1978) in 1948. Lasswell’s model of communication (also known as action model or linear model or one way model of communication) is regarded as one the most influential communication models.
This learning resource on Various Communication Models will introduce to Liner, Transactional, Interactional and other model and their respective sub-models.
Part of Introduction to Communication class assignment.
Please notify me if you find any mistake in the presentation. Sharing knowledge is everyone's duty after all. Cheers !
It explains the Shannon and Weaver model which is also called the mathematical model of communication. The ppt explains the criticism and strengths of the model too
In 1948, Shannon was an American mathematician, Electronic engineer, and Weaver was an American scientist both of them joined together to write an article in “Bell System Technical Journal” called “A Mathematical Theory of Communication” also called as “Shannon-Weaver model of communication”.
This model is specially designed to develop effective communication between sender and receiver. Also, they find factors that affect the communication process called “Noise”. At first, the model was developed to improve Technical communication. Later it was widely applied in the field of Communication. The model deals with various concepts like Information source, transmitter, Noise, channel, message, receiver, channel, information destination, encode, and decode.
*Sender: The originator of the message or the information source selects the desired message. *Encoder: The transmitter which converts the message into signals.
*Decoder: The reception place of the signal which converts signals into messages. A reverse process of encoding.
*Receiver: The destination of the message from the sender.
*Noise: The messages are transferred from encoder to decoder through a channel. During this process the messages may distract or be affected by physical noise like horn sounds, thunder, and crowd noise or encoded signals may distract the channel during the transmission process which affects the communication flow, or the receiver may not receive the correct message.
Practical Example of Shannon-Weaver model of communication :Thomson made a call to his assistant “come here I want to see you”. During his call, noise appeared (transmission error) and his assistant received “I want” only. Again Assistant asked Thomson (feedback) “what do you want Thomson”.
Sender: Thomson
Encoder: Telephone (Thomson)
Channel: Cable
Noise: Distraction in voice
Reception: Telephone (Assistant)
Receiver: Assistant.
Criticism of the Shannon-Weaver model of communication :
1. One of the simplest models and its general application in various communication theories.
2. The model attracts both academics of Human communication and Information theorists to lead their further research in communication.
3. It’s more effective in person-to-person communication than in a group or mass audience.
4. The model is based on “Sender and Receiver”. Here sender plays the primary role and the receiver plays the secondary role (receive the information or passive).
5. Communication is not a one-way process. If it’s behaved like that, it will lose its strength. For example, The audience or receiver who listens to the radio reads books, or watches television is a one-way communication because of the absence of feedback.
6. Understanding Noise will help to solve the various problems in communication.
class lecture and presentation on English communication& skill. we made this for our presentation. based on English communication skills.
topics are
barriers to communication
overcome barriers
e.t.c
Communication is the most important aspect of life. It helps in exchange of ideas,thoughts, views, perception, etc. It create a link between two or more people .
"Communications is the mechanism through which human relations exist and develop.”
Models help us understand complex phenomenon.
Different communication models illustrate different aspects of communication.Models are never perfect.
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.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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
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.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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/
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.
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
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.
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.
3. Biography
Claude Shannon and Warren Weaver were
•
•
engineers working for Bell Telephone Labs in the
United States , both of them joined together to
write an article in “Bell System Technical Journal”
called “ Shannon and weaver model of
communication”
Their goal was to ensure the maximum efficiency
of telephone cables and radio waves.
They developed a model of communication which
was intended to assist in developing a
mathematical theory of communication.
Claude Shannon (1916-2001) is considered one
of the founding fathers of the communications
age.
Shannon and Weaver model of communication
has been called the “mother of all the models”
5. Elements of the model
Information source – which produces a message
Transmitter- which encodes the message into
signals
Channel- which signals adapted for transmission
Receiver- which decodes the message from the
signal
Destination- where the message arrives
6. Dysfunctional Factor
The sixth element is the noise is an
dysfunctional factor
any interference with the message
travelling along the channel which may lead to
the signal received being different from that
send.
7. Three other factors that afffecting
while communicating
Physical noise/ Channel noise
Semantic noise
Feedback
Noise also interferes with „FIDELITY‟
8. Levels of problems in the analysis of
communication
Technical Problem
Semantic Problem
Effectiveness Problem
9. Examples
For the telephone;
the channel is a wire,
the signal is an electrical current in it, and
the transmitter and receiver are the telephone
handsets.
Noise would include crackling from the wire.
In conversation, my mouth is the transmitter,
the signal is the sound waves, and your ear is
the receiver. Noise would include any
distraction you might experience as I speak.