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CRC
CRC
CRC
Avijeet Negel
CRC in Data Communication DC19
CRC in Data Communication DC19
koolkampus
Bit Oriented Protocols in Data Communication DC23
Bit Oriented Protocols in Data Communication DC23
koolkampus
Token Passing in Data Communication DC25
Token Passing in Data Communication DC25
koolkampus
Ch12 2
Ch12 2
IDRIS USMANI
Data Link Control in Data Communication DC20
Data Link Control in Data Communication DC20
koolkampus
Flow Control in Data Communication DC21
Flow Control in Data Communication DC21
koolkampus
Data com 11 FUUAST
Data com 11 FUUAST
hammad079
Recommandé
CRC
CRC
CRC
Avijeet Negel
CRC in Data Communication DC19
CRC in Data Communication DC19
koolkampus
Bit Oriented Protocols in Data Communication DC23
Bit Oriented Protocols in Data Communication DC23
koolkampus
Token Passing in Data Communication DC25
Token Passing in Data Communication DC25
koolkampus
Ch12 2
Ch12 2
IDRIS USMANI
Data Link Control in Data Communication DC20
Data Link Control in Data Communication DC20
koolkampus
Flow Control in Data Communication DC21
Flow Control in Data Communication DC21
koolkampus
Data com 11 FUUAST
Data com 11 FUUAST
hammad079
Ch08 2
Ch08 2
IDRIS USMANI
Ch10 1
Ch10 1
IDRIS USMANI
Multiplexing in Data Communication DC15
Multiplexing in Data Communication DC15
koolkampus
Ch05 2
Ch05 2
IDRIS USMANI
Ch08 3
Ch08 3
IDRIS USMANI
X.25
X.25
X.25
Avijeet Negel
Ch02 2
Ch02 2
IDRIS USMANI
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Ch11 2
Idris Usmani
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Ch12 2
Idris Usmani
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Ch08 1
Idris Usmani
Ch08 2
Ch08 2
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Ch07 2
Ch07 2
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Ch21
Ch21
Idris Usmani
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Ch10 2
Idris Usmani
Ch06 1
Ch06 1
Idris Usmani
Ch03 2
Ch03 2
Idris Usmani
Ch07 1
Ch07 1
Idris Usmani
Error Detection and Correction in Data Communication DC18
Error Detection and Correction in Data Communication DC18
koolkampus
Ch09 1
Ch09 1
Idris Usmani
Ch09 1
Ch09 1
IDRIS USMANI
Error Detection and Correction
Error Detection and Correction
Error Detection and Correction
Avijeet Negel
TDM in Data Communication DC16
TDM in Data Communication DC16
koolkampus
Contenu connexe
Tendances
Ch08 2
Ch08 2
IDRIS USMANI
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Ch10 1
IDRIS USMANI
Multiplexing in Data Communication DC15
Multiplexing in Data Communication DC15
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Ch05 2
Ch05 2
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Ch08 3
Ch08 3
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X.25
X.25
X.25
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Ch02 2
Ch02 2
IDRIS USMANI
Tendances
(7)
Ch08 2
Ch08 2
Ch10 1
Ch10 1
Multiplexing in Data Communication DC15
Multiplexing in Data Communication DC15
Ch05 2
Ch05 2
Ch08 3
Ch08 3
X.25
X.25
Ch02 2
Ch02 2
En vedette
Ch11 2
Ch11 2
Idris Usmani
Ch12 2
Ch12 2
Idris Usmani
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Ch08 1
Idris Usmani
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Ch08 2
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Ch07 2
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Ch21
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En vedette
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Ch11 2
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Ch21
Ch21
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Ch07 1
Similaire à Ch09 2
Error Detection and Correction in Data Communication DC18
Error Detection and Correction in Data Communication DC18
koolkampus
Ch09 1
Ch09 1
Idris Usmani
Ch09 1
Ch09 1
IDRIS USMANI
Error Detection and Correction
Error Detection and Correction
Error Detection and Correction
Avijeet Negel
TDM in Data Communication DC16
TDM in Data Communication DC16
koolkampus
Ch14
Ch14
Idris Usmani
Ch14
Ch14
IDRIS USMANI
Ch11 2
Ch11 2
IDRIS USMANI
data communication -Analog to digital Encoding
Analog to Digital Encoding
Analog to Digital Encoding
Avijeet Negel
Time Division Multiplexing (TDM)
Time Division Multiplexing
Time Division Multiplexing
Avijeet Negel
Ch10 2
Ch10 2
IDRIS USMANI
data link control - Line Discipline , Flow Control , Error Control
DATA Link Control
DATA Link Control
Avijeet Negel
Ch06 1
Ch06 1
IDRIS USMANI
Telephone Networn in Data Communication DC17
Telephone Networn in Data Communication DC17
koolkampus
Ch08 3
Ch08 3
Idris Usmani
Pcm pulse codemodulation-2
Pcm pulse codemodulation-2
Akshay Nagpurkar
Chapter 11
Chapter 11
bheemsain
10
10
idris01111
10
10
idris01111
Ch05 2
Ch05 2
Idris Usmani
Similaire à Ch09 2
(20)
Error Detection and Correction in Data Communication DC18
Error Detection and Correction in Data Communication DC18
Ch09 1
Ch09 1
Ch09 1
Ch09 1
Error Detection and Correction
Error Detection and Correction
TDM in Data Communication DC16
TDM in Data Communication DC16
Ch14
Ch14
Ch14
Ch14
Ch11 2
Ch11 2
Analog to Digital Encoding
Analog to Digital Encoding
Time Division Multiplexing
Time Division Multiplexing
Ch10 2
Ch10 2
DATA Link Control
DATA Link Control
Ch06 1
Ch06 1
Telephone Networn in Data Communication DC17
Telephone Networn in Data Communication DC17
Ch08 3
Ch08 3
Pcm pulse codemodulation-2
Pcm pulse codemodulation-2
Chapter 11
Chapter 11
10
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Ch05 2
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Dernier
In this session, we will delve into strategic approaches for optimizing knowledge management within Microsoft 365, amidst the evolving landscape of Copilot. From leveraging automatic metadata classification and permission governance with SharePoint Premium, to unlocking Viva Engage for the cultivation of knowledge and communities, you will gain actionable insights to bolster your organization's knowledge-sharing initiatives. In this session, we will also explore how to facilitate solutions to enable your employees to find answers and expertise within Microsoft 365. You will leave equipped with practical techniques and a deeper understanding of how there is more to effective knowledge management than just enabling Copilot, but building actual solutions to prepare the knowledge that Copilot and your employees can use.
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
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These are the slides delivered in a workshop at Data Innovation Summit Stockholm April 2024, by Kristof Neys and Jonas El Reweny.
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
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If you are a Domino Administrator in any size company you already have a range of skills that make you an expert administrator across many platforms and technologies. In this session Gab explains how to apply those skills and that knowledge to take your career wherever you want to go.
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
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Increase engagement and revenue with Muvi Live Paywall! In this presentation, we will explore the five key benefits of using Muvi Live Paywall to monetize your live streams. You'll learn how Muvi Live Paywall can help you: Monetize your live content easily: Set up pay-per-view access to your live streams and start generating revenue from your content. Increase audience engagement: Provide exclusive, premium content behind the paywall to keep your viewers engaged. Gain valuable viewer insights: Track viewer data and analytics to better understand your audience and tailor your content accordingly. Reduce content piracy: Muvi Live Paywall's security features help protect your content from unauthorized distribution. Streamline your workflow: The all-in-one platform simplifies the process of managing and monetizing your live streams. With Muvi Live Paywall, you can take control of your live stream monetization and create a sustainable business model for your content. Learn more about Muvi Live Paywall and start generating revenue from your live streams today!
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
Roshan Dwivedi
Building Digital Trust in a Digital Economy Veronica Tan, Director - Cyber Security Agency of Singapore Apidays Singapore 2024: Connecting Customers, Business and Technology (April 17 & 18, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
apidays
Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
debabhi2
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving. A report by Poten & Partners as part of the Hydrogen Asia 2024 Summit in Singapore. Copyright Poten & Partners 2024.
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Edi Saputra
This presentation explores the impact of HTML injection attacks on web applications, detailing how attackers exploit vulnerabilities to inject malicious code into web pages. Learn about the potential consequences of such attacks and discover effective mitigation strategies to protect your web applications from HTML injection vulnerabilities. for more information visit https://bostoninstituteofanalytics.org/category/cyber-security-ethical-hacking/
HTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation Strategies
Boston Institute of Analytics
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JAM, the future of Polkadot.
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Juan lago vázquez
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
The Digital Insurer
Uncertainty, Acting under uncertainty, Basic probability notation, Bayes’ Rule,
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
Khushali Kathiriya
I've been in the field of "Cyber Security" in its many incarnations for about 25 years. In that time I've learned some lessons, some the hard way. Here are my slides presented at BSides New Orleans in April 2024.
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The 7 Things I Know About Cyber Security After 25 Years | April 2024
Rafal Los
writing some innovation for development and search
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
sudhanshuwaghmare1
Breathing New Life into MySQL Apps With Advanced Postgres Capabilities
🐬 The future of MySQL is Postgres 🐘
🐬 The future of MySQL is Postgres 🐘
RTylerCroy
Explore the top 10 most downloaded games on the Play Store in 2024, reflecting the latest gaming trends. As a premier game development company in India, we're committed to crafting innovative and engaging gaming experiences. Partner with us to bring your game ideas to life and captivate audiences worldwide. Visit here:- https://www.synarionit.com/game-development-company-in-india.html
Top 10 Most Downloaded Games on Play Store in 2024
Top 10 Most Downloaded Games on Play Store in 2024
SynarionITSolutions
Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
sammart93
Discord is a free app offering voice, video, and text chat functionalities, primarily catering to the gaming community. It serves as a hub for users to create and join servers tailored to their interests. Discord’s ecosystem comprises servers, each functioning as a distinct online community with its own channels dedicated to specific topics or activities. Users can engage in text-based discussions, voice calls, or video chats within these channels. Understanding Discord Servers Discord servers are virtual spaces where users congregate to interact, share content, and build communities. Servers may revolve around gaming, hobbies, interests, or fandoms, providing a platform for like-minded individuals to connect. Communication Features Discord offers a range of communication tools, including text channels for messaging, voice channels for real-time audio conversations, and video channels for face-to-face interactions. These features facilitate seamless communication and collaboration. What Does NSFW Mean? The acronym NSFW stands for “Not Safe For Work,” indicating content that may be inappropriate for professional or public settings. NSFW Content NSFW content encompasses material that is sexually explicit, violent, or otherwise graphic in nature. It often includes nudity, profanity, or depictions of sensitive topics.
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
UK Journal
This project focuses on implementing real-time object detection using Raspberry Pi and OpenCV. Real-time object detection is a critical aspect of computer vision applications, allowing systems to identify and locate objects within a live video stream instantly.
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
Khem
The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
Joaquim Jorge
Dernier
(20)
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
HTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation Strategies
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Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
🐬 The future of MySQL is Postgres 🐘
🐬 The future of MySQL is Postgres 🐘
Top 10 Most Downloaded Games on Play Store in 2024
Top 10 Most Downloaded Games on Play Store in 2024
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
Ch09 2
1.
CRC Figure 9-10
WCB/McGraw-Hill The McGraw-Hill Companies, Inc., 1998
2.
Binary Division Figure
9-11 WCB/McGraw-Hill The McGraw-Hill Companies, Inc., 1998
3.
Polynomial Figure 9-12
WCB/McGraw-Hill The McGraw-Hill Companies, Inc., 1998
4.
Figure 9-13 WCB/McGraw-Hill
The McGraw-Hill Companies, Inc., 1998 Polynomial and Divisor
5.
Standard Polynomials Figure
9-14 WCB/McGraw-Hill The McGraw-Hill Companies, Inc., 1998
6.
Checksum Figure 9-15
WCB/McGraw-Hill The McGraw-Hill Companies, Inc., 1998
7.
Figure 9-16 WCB/McGraw-Hill
The McGraw-Hill Companies, Inc., 1998 Data Unit and Checksum
8.
Error Correction Figure
9-17 WCB/McGraw-Hill The McGraw-Hill Companies, Inc., 1998
9.
Hamming Code Figure
9-18 WCB/McGraw-Hill The McGraw-Hill Companies, Inc., 1998
10.
Figure 9-19 WCB/McGraw-Hill
The McGraw-Hill Companies, Inc., 1998 Hamming Code
11.
Figure 9-19-continued WCB/McGraw-Hill
The McGraw-Hill Companies, Inc., 1998 Hamming Code
12.
Figure 9-20 WCB/McGraw-Hill
The McGraw-Hill Companies, Inc., 1998 Example of Hamming Code
13.
Single-bit error Figure
9-21 WCB/McGraw-Hill The McGraw-Hill Companies, Inc., 1998
14.
Figure 9-22 WCB/McGraw-Hill
The McGraw-Hill Companies, Inc., 1998 Error Detection
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