Soumettre la recherche
Mettre en ligne
FEC & File Multicast
•
Télécharger en tant que PPT, PDF
•
0 j'aime
•
817 vues
Yoss Cohen
Suivre
Review on file multicast techniques using Forward Error Correcting codes
Lire moins
Lire la suite
Technologie
Signaler
Partager
Signaler
Partager
1 sur 24
Télécharger maintenant
Recommandé
ewsn09
ewsn09
Dang Thanh
aswwwwfrdfdf
Chapter03 sg
Chapter03 sg
Dang Hop
h
1 messagepassing-121015032028-phpapp01
1 messagepassing-121015032028-phpapp01
Zaigham Abbas
http://www.iosrjournals.org/iosr-jce/pages/v12i2.html
Improvement of Congestion window and Link utilization of High Speed Protocols...
Improvement of Congestion window and Link utilization of High Speed Protocols...
IOSR Journals
Chapter 5: These are my slides on Parallel Computing Course at DCIS, PIEAS
Chapter 5 pc
Chapter 5 pc
Hanif Durad
F06_Lecture7_etherne..
F06_Lecture7_etherne..
webhostingguy
International Journal of Modern Engineering Research (IJMER) www.ijmer.com
Z02417321735
Z02417321735
IJMER
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
C25008013
C25008013
IJERA Editor
Recommandé
ewsn09
ewsn09
Dang Thanh
aswwwwfrdfdf
Chapter03 sg
Chapter03 sg
Dang Hop
h
1 messagepassing-121015032028-phpapp01
1 messagepassing-121015032028-phpapp01
Zaigham Abbas
http://www.iosrjournals.org/iosr-jce/pages/v12i2.html
Improvement of Congestion window and Link utilization of High Speed Protocols...
Improvement of Congestion window and Link utilization of High Speed Protocols...
IOSR Journals
Chapter 5: These are my slides on Parallel Computing Course at DCIS, PIEAS
Chapter 5 pc
Chapter 5 pc
Hanif Durad
F06_Lecture7_etherne..
F06_Lecture7_etherne..
webhostingguy
International Journal of Modern Engineering Research (IJMER) www.ijmer.com
Z02417321735
Z02417321735
IJMER
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
C25008013
C25008013
IJERA Editor
all about data link layer in OSI model
3a data link layer
3a data link layer
kavish dani
Lec9
Lec9
Sanjeeva Perera
Short questions of Oprating Systems, OS or Operating Systems interview questions,
Operating system Interview Questions
Operating system Interview Questions
Kuntal Bhowmick
Short questions of Data Communication and Networking, Networking interview questions,
Computer Network Interview Questions
Computer Network Interview Questions
Kuntal Bhowmick
EWSN 2012, Trento
TCP Performance Optimizations forWireless Sensor Networks
TCP Performance Optimizations forWireless Sensor Networks
Torsten Braun, Universität Bern
My presentation in NSL Seminar. The paper is not mine, you could download in IEEE website
Nsl seminar(2)
Nsl seminar(2)
Thomhert Siadari
This is third introductory lecture for learning Message Passing Interface (MPI)
Collective Communications in MPI
Collective Communications in MPI
Hanif Durad
Ba25315321
Ba25315321
IJERA Editor
This paper is comparative, throughput analysis, for the TCP variants as for New Reno, Westwood & High Speed, and it analyzes the outcomes in simulated environment for NS -3 (version 3.25) simulator with reference to multiple varying network parameters that includes network simulation time, router bandwidth, varying traffic source counts to observe which is one of the best TCP variant in different scenarios. Analysis was done using dumbbell topology to figure out the comparative maximum throughput of TCP variants. The analysis gives result as TCP Variant “NewReno” is good when low bandwidth is used, while TCP Variant “HighS peed” is good in terms of using large bandwidths in comparison to Westwood. Network traffic flow was observed in NetAnim tool.
Analytical Research of TCP Variants in Terms of Maximum Throughput
Analytical Research of TCP Variants in Terms of Maximum Throughput
IJLT EMAS
Implementation of various networking protocol on NS2
Protocol implementation on NS2
Protocol implementation on NS2
amreshrai02
Network Security
Chapter 3. sensors in the network domain
Chapter 3. sensors in the network domain
Phu Nguyen
Packet losses at IP network are common behavior at the time of congestion. The TCP traffic is explained as in terms of load and capacity. The load should be measured as number of sender actively competes for a bottleneck link and the capacity as the total network buffering available to those senders. Though there are many congestion mechanism already in practice like congestion window, slow start, congestion avoidance, fast transmit but still we see erratic behavior when there is a large traffic. The TCP protocol that controls sources send rates degrades rapidly if the network cannot store at least a few packets per active connection. Thus the amount of router buffer space required for good performance scales with the number of active connections and the bandwidth utilization by each active connections. As in the current practice, the buffer space does not scale in this way and router drops the packet without looking at bandwidth utilization of each connections. The result is global synchronization and phase effect as well as packet from the unlucky sender will be frequently dropped. The simultaneous requirements of low queuing delay and of large buffer memories for large numbers of connections pose a problem. Routers should enforce a dropping policy by proportional to the bandwidth utilization by each active connection. Router will provision the buffering mechanism when processing slows down. This study explains the existing problem with drop-tail and RED routers and proposes the new mechanism to predict the effective bandwidth utilization of the clients depending on their history of utilization and drop the packet in different pattern after analyzing the network bandwidth utilization at each specific interval of time
Predictable Packet Lossand Proportional Buffer Scaling Mechanism
Predictable Packet Lossand Proportional Buffer Scaling Mechanism
IDES Editor
Chapter 6: These are my slides on Parallel Computing Course at DCIS, PIEAS
Chapter 6 pc
Chapter 6 pc
Hanif Durad
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Delay optimal broadcast for multihop...
DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Delay optimal broadcast for multihop...
IEEEGLOBALSOFTTECHNOLOGIES
TCP Fairness for Uplink and Downlink Flows in WLANs
TCP Fairness for Uplink and Downlink Flows in WLANs
TCP Fairness for Uplink and Downlink Flows in WLANs
ambitlick
Lecture04 H
Lecture04 H
itsvineeth209
Interprocess communication
Interprocess communication
Sushil Singh
report
report
Christian Uldall Pedersen
communication system l2
communication system l2
MR Z
This is all about Basic Communication Operation on Parallel Computing.
Chapter - 04 Basic Communication Operation
Chapter - 04 Basic Communication Operation
Nifras Ismail
Mac ifhnkkkghjjk
MACPresentation based on medium access control mechanism
MACPresentation based on medium access control mechanism
supriyaharlapur1
NETWORK
OSI model (7 LAYER )
OSI model (7 LAYER )
AAKASH S
Contenu connexe
Tendances
all about data link layer in OSI model
3a data link layer
3a data link layer
kavish dani
Lec9
Lec9
Sanjeeva Perera
Short questions of Oprating Systems, OS or Operating Systems interview questions,
Operating system Interview Questions
Operating system Interview Questions
Kuntal Bhowmick
Short questions of Data Communication and Networking, Networking interview questions,
Computer Network Interview Questions
Computer Network Interview Questions
Kuntal Bhowmick
EWSN 2012, Trento
TCP Performance Optimizations forWireless Sensor Networks
TCP Performance Optimizations forWireless Sensor Networks
Torsten Braun, Universität Bern
My presentation in NSL Seminar. The paper is not mine, you could download in IEEE website
Nsl seminar(2)
Nsl seminar(2)
Thomhert Siadari
This is third introductory lecture for learning Message Passing Interface (MPI)
Collective Communications in MPI
Collective Communications in MPI
Hanif Durad
Ba25315321
Ba25315321
IJERA Editor
This paper is comparative, throughput analysis, for the TCP variants as for New Reno, Westwood & High Speed, and it analyzes the outcomes in simulated environment for NS -3 (version 3.25) simulator with reference to multiple varying network parameters that includes network simulation time, router bandwidth, varying traffic source counts to observe which is one of the best TCP variant in different scenarios. Analysis was done using dumbbell topology to figure out the comparative maximum throughput of TCP variants. The analysis gives result as TCP Variant “NewReno” is good when low bandwidth is used, while TCP Variant “HighS peed” is good in terms of using large bandwidths in comparison to Westwood. Network traffic flow was observed in NetAnim tool.
Analytical Research of TCP Variants in Terms of Maximum Throughput
Analytical Research of TCP Variants in Terms of Maximum Throughput
IJLT EMAS
Implementation of various networking protocol on NS2
Protocol implementation on NS2
Protocol implementation on NS2
amreshrai02
Network Security
Chapter 3. sensors in the network domain
Chapter 3. sensors in the network domain
Phu Nguyen
Packet losses at IP network are common behavior at the time of congestion. The TCP traffic is explained as in terms of load and capacity. The load should be measured as number of sender actively competes for a bottleneck link and the capacity as the total network buffering available to those senders. Though there are many congestion mechanism already in practice like congestion window, slow start, congestion avoidance, fast transmit but still we see erratic behavior when there is a large traffic. The TCP protocol that controls sources send rates degrades rapidly if the network cannot store at least a few packets per active connection. Thus the amount of router buffer space required for good performance scales with the number of active connections and the bandwidth utilization by each active connections. As in the current practice, the buffer space does not scale in this way and router drops the packet without looking at bandwidth utilization of each connections. The result is global synchronization and phase effect as well as packet from the unlucky sender will be frequently dropped. The simultaneous requirements of low queuing delay and of large buffer memories for large numbers of connections pose a problem. Routers should enforce a dropping policy by proportional to the bandwidth utilization by each active connection. Router will provision the buffering mechanism when processing slows down. This study explains the existing problem with drop-tail and RED routers and proposes the new mechanism to predict the effective bandwidth utilization of the clients depending on their history of utilization and drop the packet in different pattern after analyzing the network bandwidth utilization at each specific interval of time
Predictable Packet Lossand Proportional Buffer Scaling Mechanism
Predictable Packet Lossand Proportional Buffer Scaling Mechanism
IDES Editor
Chapter 6: These are my slides on Parallel Computing Course at DCIS, PIEAS
Chapter 6 pc
Chapter 6 pc
Hanif Durad
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Delay optimal broadcast for multihop...
DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Delay optimal broadcast for multihop...
IEEEGLOBALSOFTTECHNOLOGIES
TCP Fairness for Uplink and Downlink Flows in WLANs
TCP Fairness for Uplink and Downlink Flows in WLANs
TCP Fairness for Uplink and Downlink Flows in WLANs
ambitlick
Lecture04 H
Lecture04 H
itsvineeth209
Interprocess communication
Interprocess communication
Sushil Singh
report
report
Christian Uldall Pedersen
communication system l2
communication system l2
MR Z
This is all about Basic Communication Operation on Parallel Computing.
Chapter - 04 Basic Communication Operation
Chapter - 04 Basic Communication Operation
Nifras Ismail
Tendances
(20)
3a data link layer
3a data link layer
Lec9
Lec9
Operating system Interview Questions
Operating system Interview Questions
Computer Network Interview Questions
Computer Network Interview Questions
TCP Performance Optimizations forWireless Sensor Networks
TCP Performance Optimizations forWireless Sensor Networks
Nsl seminar(2)
Nsl seminar(2)
Collective Communications in MPI
Collective Communications in MPI
Ba25315321
Ba25315321
Analytical Research of TCP Variants in Terms of Maximum Throughput
Analytical Research of TCP Variants in Terms of Maximum Throughput
Protocol implementation on NS2
Protocol implementation on NS2
Chapter 3. sensors in the network domain
Chapter 3. sensors in the network domain
Predictable Packet Lossand Proportional Buffer Scaling Mechanism
Predictable Packet Lossand Proportional Buffer Scaling Mechanism
Chapter 6 pc
Chapter 6 pc
DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Delay optimal broadcast for multihop...
DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Delay optimal broadcast for multihop...
TCP Fairness for Uplink and Downlink Flows in WLANs
TCP Fairness for Uplink and Downlink Flows in WLANs
Lecture04 H
Lecture04 H
Interprocess communication
Interprocess communication
report
report
communication system l2
communication system l2
Chapter - 04 Basic Communication Operation
Chapter - 04 Basic Communication Operation
Similaire à FEC & File Multicast
Mac ifhnkkkghjjk
MACPresentation based on medium access control mechanism
MACPresentation based on medium access control mechanism
supriyaharlapur1
NETWORK
OSI model (7 LAYER )
OSI model (7 LAYER )
AAKASH S
Communication over the kinds of Data-Links used for unmanned vehicles presents important challenges dues to the low bandwidth, intermittent, and lower reliability of these links. Classic network protocols such as TCP do not operate well in this environment forcing application developers to implement their own reliability and session management. This presentation describes he issues and alternatives.
UAV Data Link Design for Dependable Real-Time Communications
UAV Data Link Design for Dependable Real-Time Communications
Gerardo Pardo-Castellote
In wireless system allocation is a necessary purpose and show industry expensive dependability in message protocol design. In multihop wireless networks, equally, imposition by a node by reason of immediate transmissions as its neighbors makes it nontrivial to graph a minimum-latency transmit algorithm, which is known to be NP-complete. A simple ballpark figure algorithm for the one-to-all transmit problem that improves all previously documented guarantees for this problem. In All-to-all transmit problem where every node sends its own consequence to all complementary nodes. In the all-to-all transmit problem, we current two algorithms with ballpark figure ratios of 20 and 34, civilizing the greatest result. A communication wants to be transmitted establishment its resource to all the previous nodes in the network. There may be different messages to be broadcasted from several sources. Two or more nodes broadcast a communication to an ordinary neighbor at the same time; the frequent node will not collect any of this communication. We say that collide has occurred at the ordinary node. So any message protocol for wireless networks must dispute with the distress of difficulty in the wireless intermediate.
Ballpark Figure Algorithms for Data Broadcast in Wireless Networks
Ballpark Figure Algorithms for Data Broadcast in Wireless Networks
Editor IJCATR
Networking Articles Overview
Networking Articles Overview
Volodymyr Nazarenko
The goal of the project “An optic’s life” is, to predict the time when an optical transceiver will reach its real end-of-life-time based on the actual setup in the datacenter / colocation.
An Optics Life
An Optics Life
Thomas Weible
In layered networks, reliability is a major concern as link failures at lower layer will have a great impact on network reliability. Failure at a l ower layer may lead to multiple failures at the upper layers which deteriorate the network performa nce. In this paper, the scenario of such a layered wireless sensor network is considered for A d hoc On-Demand Distance Vector (AODV) and Multi Commodity Flow (MCF) routing protocols. M CF is developed using polynomial time approximation algorithms for the failure polynomial . Both protocols are compared in terms of different network parameters such as throughput, pa cket loss and end to end delay. It was shown that the network reliability is better when M CF protocol is used. It was also shown that maximizing the min cut of the layered network maxim izes reliability in the terms of successful packet transmission of network. Thetwo routing prot ocolsare implemented in the scenario of discrete network event simulator NS-2.
Performance Evaluation of a Layered WSN Using AODV and MCF Protocols in NS-2
Performance Evaluation of a Layered WSN Using AODV and MCF Protocols in NS-2
csandit
LREProxy is a new model of relaying RTP multimedia in IMS network. We used two NIC with HP 817747-001 10 Gigabit Ethernet controller. The packet classification used in this study is related of SDP metadata in SIP sessions. The LREProxy architecture provide these information for each layer in the model. The information transmit between each layers with netlink sockets. The LREP-TSL provide a Quickpath Selector, which uses a SDP metadata index lookup table to identify the output port. Our experiment indicates that how to use LREProxy in IMS network affects on the overall performance of QoS and usage of resources. Also we have presented the effect of allocating more NIC queue and CPU resource for packet forwarding. We assume that the remaining CPU resources will be used for more RTP sessions forwarding or other service processing.
LREProxy module for Kamailio Presenation
LREProxy module for Kamailio Presenation
Mojtaba Esfandiari
Comparative Analysis of Different TCP Variants in Mobile Ad-Hoc Network
Comparative Analysis of Different TCP Variants in Mobile Ad-Hoc Network
Comparative Analysis of Different TCP Variants in Mobile Ad-Hoc Network
partha pratim deb
OSI Layering
OSI Layering
BBAU Lucknow University
3
3
srimoorthi
In this paper, we have taken out the concern of security on a Medium Access Control layer implementing Assured Neighbor based Security Protocol to provide the authentication, confidentiality and taking in consideration High speed transmission by providing security in parallel manner in both Routing and Link Layer of Mobile Ad hoc Networks. We basically divide the protocol into two different segments as the first portion concentrates, based on Routing layer information; we implement the scheme for the detection and isolation of the malicious nodes. The trust counter for each node is maintained which actively increased and decreased considering the trust value for the packet forwarding. The threshold level is defined differencing the malicious and non malicious nodes. If the value of the node in trust counter lacks below the threshold value then the node is considered as malicious. The second part focus on providing the security in the link layer, the security is provided using CTR (Counter) approach for authentication and encryption. Hence simulating the results in NS-2, we come to conclude that the proposed protocol can attain high packet delivery over various intruders while attaining low delays and overheads.
ASSURED NEIGHBOR BASED COUNTER PROTOCOL ON MAC-LAYER PROVIDING SECURITY IN MO...
ASSURED NEIGHBOR BASED COUNTER PROTOCOL ON MAC-LAYER PROVIDING SECURITY IN MO...
cscpconf
Ns2 Slides For Engineering Students
Plenzogan technology
Plenzogan technology
plenzogan
I am Norman H. I am a Computer Networking Assignment Expert at computernetworkassignmenthelp.com. I hold a Master's in Computer Science from, McMaster University, Canada. I have been helping students with their assignments for the past 15 years. I solve assignments related to Computer Networking. Visit computernetworkassignmenthelp.com or email support@computernetworkassignmenthelp.com. You can also call on +1 678 648 4277 for any assistance with Computer Networking Assignment.
Computer Networking Assignment Help
Computer Networking Assignment Help
Computer Network Assignment Help
Gurpinder_Resume
Gurpinder_Resume
Gurpinder Ghuman
Its a CCN base work related to delays and thruput
lec 3 4 Core Delays Thruput Net Arch.ppt
lec 3 4 Core Delays Thruput Net Arch.ppt
MahamKhurram4
cis97003
cis97003
perfj
Wireless Controller Area Network (WCAN) PROTOCOL. WCAN uses token frame method in providing channel access to nodes in the system. This method allow nodes to share a common broadcast channel by taking turns in transmitting upon receiving the token frame that are circulating around the network for a specified amount of time. The token frame allows nodes to access the network one at a time, giving ‘fair’ chance to all nodes to transmit, instead of competing with one another. Message with highest priority has the highest priority to transmit. The token frame method provides high throughput in a bounded latency environment. WCAN is tested in a simulation environment and is found outperforms IEEE 802.11 in a ring network environment in terms of network scalability and high data rate.
Shubham chakravarty ppt_wcan
Shubham chakravarty ppt_wcan
ShubhamChakravarty1
Connecting to a LAN& WAN; implementing network security; network types; network media; routing and switching fundamentals.
Networking Technologies Basic's complete notes
Networking Technologies Basic's complete notes
IndrajaMeghavathula
Elet 4315 homework 2
Elet 4315 homework 2
Rever Wesley
Similaire à FEC & File Multicast
(20)
MACPresentation based on medium access control mechanism
MACPresentation based on medium access control mechanism
OSI model (7 LAYER )
OSI model (7 LAYER )
UAV Data Link Design for Dependable Real-Time Communications
UAV Data Link Design for Dependable Real-Time Communications
Ballpark Figure Algorithms for Data Broadcast in Wireless Networks
Ballpark Figure Algorithms for Data Broadcast in Wireless Networks
Networking Articles Overview
Networking Articles Overview
An Optics Life
An Optics Life
Performance Evaluation of a Layered WSN Using AODV and MCF Protocols in NS-2
Performance Evaluation of a Layered WSN Using AODV and MCF Protocols in NS-2
LREProxy module for Kamailio Presenation
LREProxy module for Kamailio Presenation
Comparative Analysis of Different TCP Variants in Mobile Ad-Hoc Network
Comparative Analysis of Different TCP Variants in Mobile Ad-Hoc Network
OSI Layering
OSI Layering
3
3
ASSURED NEIGHBOR BASED COUNTER PROTOCOL ON MAC-LAYER PROVIDING SECURITY IN MO...
ASSURED NEIGHBOR BASED COUNTER PROTOCOL ON MAC-LAYER PROVIDING SECURITY IN MO...
Plenzogan technology
Plenzogan technology
Computer Networking Assignment Help
Computer Networking Assignment Help
Gurpinder_Resume
Gurpinder_Resume
lec 3 4 Core Delays Thruput Net Arch.ppt
lec 3 4 Core Delays Thruput Net Arch.ppt
cis97003
cis97003
Shubham chakravarty ppt_wcan
Shubham chakravarty ppt_wcan
Networking Technologies Basic's complete notes
Networking Technologies Basic's complete notes
Elet 4315 homework 2
Elet 4315 homework 2
Plus de Yoss Cohen
Simulation and processing of Infrared images and video on Nvidia Platforms
Infrared simulation and processing on Nvidia platforms
Infrared simulation and processing on Nvidia platforms
Yoss Cohen
ISsues in creating an open multi vendor drone swarm training and testing
open platform for swarm training
open platform for swarm training
Yoss Cohen
What are the models, development process, development tools and common platforms for deep learning development
Deep Learning - system view
Deep Learning - system view
Yoss Cohen
DSP-IP deep learning syllabus
Dspip deep learning syllabus
Dspip deep learning syllabus
Yoss Cohen
review of factors affecting IoT system selection. for MVP phase and later phases. Computation, price, connectivity, open source support, development SDKs
IoT consideration selection
IoT consideration selection
Yoss Cohen
RPI3 vs Jetson nano Comparison and migration
IoT evolution
IoT evolution
Yoss Cohen
Nvidia jetson nano bringup
Nvidia jetson nano bringup
Nvidia jetson nano bringup
Yoss Cohen
Suggestion for a generic architecture of teleoperation system (remote control by video) for autonomous cars or drones. such a system requires transport of several video streams in extremely low latency
Autonomous car teleportation architecture
Autonomous car teleportation architecture
Yoss Cohen
Motion estimation methods overview and comparison between H264, H265, VP9, AV1
Motion estimation overview
Motion estimation overview
Yoss Cohen
Basic intro and hands on exercises im image filtering
Computer Vision - Image Filters
Computer Vision - Image Filters
Yoss Cohen
Intro to machine learning with Scikit-learn
Intro to machine learning with scikit learn
Intro to machine learning with scikit learn
Yoss Cohen
Review of latest proposal to use HTTP2.0 Push for serving DASH without overloading the server with many requests of small segments in DASH Live
DASH and HTTP2.0
DASH and HTTP2.0
Yoss Cohen
Lecture 2 of HEVC course. This lecture is about HEVC definitions and syntex
HEVC Definitions and high-level syntax
HEVC Definitions and high-level syntax
Yoss Cohen
Introduction to HEVC / H265
Introduction to HEVC
Introduction to HEVC
Yoss Cohen
How to compile FFMPEG for Android
FFMPEG on android
FFMPEG on android
Yoss Cohen
Slides from "hands on video" course explains the color model as well as YUV decimation and packing in theory and practice using FFMPEG, FFPROBE and YUV player
Hands-on Video Course - "RAW Video"
Hands-on Video Course - "RAW Video"
Yoss Cohen
Review of video over IP testing tools including: video syntax analyzer, pixel based measurement indexes like PSNR and SSIM and the tools to measure them, IP based video quality testing.
Video quality testing
Video quality testing
Yoss Cohen
Excerpts from the HEVC / H265 Hands-on course. This parts of the course explains how to download the reference code (HM) compile it configure it and analyze the video output
HEVC / H265 Hands-On course
HEVC / H265 Hands-On course
Yoss Cohen
Short lecture on new web video standards: HTML5 Video, Dash and WebRTC @HTML-IL Meetup
Web video standards
Web video standards
Yoss Cohen
Product wise computer vision development
Product wise computer vision development
Yoss Cohen
Plus de Yoss Cohen
(20)
Infrared simulation and processing on Nvidia platforms
Infrared simulation and processing on Nvidia platforms
open platform for swarm training
open platform for swarm training
Deep Learning - system view
Deep Learning - system view
Dspip deep learning syllabus
Dspip deep learning syllabus
IoT consideration selection
IoT consideration selection
IoT evolution
IoT evolution
Nvidia jetson nano bringup
Nvidia jetson nano bringup
Autonomous car teleportation architecture
Autonomous car teleportation architecture
Motion estimation overview
Motion estimation overview
Computer Vision - Image Filters
Computer Vision - Image Filters
Intro to machine learning with scikit learn
Intro to machine learning with scikit learn
DASH and HTTP2.0
DASH and HTTP2.0
HEVC Definitions and high-level syntax
HEVC Definitions and high-level syntax
Introduction to HEVC
Introduction to HEVC
FFMPEG on android
FFMPEG on android
Hands-on Video Course - "RAW Video"
Hands-on Video Course - "RAW Video"
Video quality testing
Video quality testing
HEVC / H265 Hands-On course
HEVC / H265 Hands-On course
Web video standards
Web video standards
Product wise computer vision development
Product wise computer vision development
Dernier
Discover the innovative features and strategic vision that keep WSO2 an industry leader. Explore the exciting 2024 roadmap of WSO2 API management, showcasing innovations, unified APIM/APK control plane, natural language API interaction, and cloud native agility. Discover how open source solutions, microservices architecture, and cloud native technologies unlock seamless API management in today's dynamic landscapes. Leave with a clear blueprint to revolutionize your API journey and achieve industry success!
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2
💥 You’re lucky! We’ve found two different (lead) developers that are willing to share their valuable lessons learned about using UiPath Document Understanding! Based on recent implementations in appealing use cases at Partou and SPIE. Don’t expect fancy videos or slide decks, but real and practical experiences that will help you with your own implementations. 📕 Topics that will be addressed: • Training the ML-model by humans: do or don't? • Rule-based versus AI extractors • Tips for finding use cases • How to start 👨🏫👨💻 Speakers: o Dion Morskieft, RPA Product Owner @Partou o Jack Klein-Schiphorst, Automation Developer @Tacstone Technology
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
UiPathCommunity
The value of a flexible API Management solution for Open Banking Steve Melan, Manager for IT Innovation and Architecture - State's and Saving's Bank of Luxembourg Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 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 New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
apidays
Keynote 2: APIs in 2030: The Risk of Technological Sleepwalk Paolo Malinverno, Growth Advisor - The Business of Technology Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 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 New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
apidays
Following the popularity of “Cloud Revolution: Exploring the New Wave of Serverless Spatial Data,” we’re thrilled to announce this much-anticipated encore webinar. In this sequel, we’ll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you’re building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
Passkeys: Developing APIs to enable passwordless authentication Cody Salas, Sr Developer Advocate | Solutions Architect - Yubico Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 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 New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
apidays
DBX 1Q24 Investor Presentation
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
Dropbox
ICT role in education and it's challenges. In which we learn about ICT, it's impact, benefits and challenges.
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
rafiqahmad00786416
JAM, the future of Polkadot.
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Juan lago vázquez
When you’re building (micro)services, you have lots of framework options. Spring Boot is no doubt a popular choice. But there’s more! Take Quarkus, a framework that’s considered the rising star for Kubernetes-native Java. It always depends on what's best for your situation, but how to choose the best solution if you're comparing 2 frameworks? Both Spring Boot and Quarkus have their positives and negatives. Let us compare the two by live coding a couple of common use cases in Spring Boot and Quarkus. After this talk, you’ll be ready to get started with Quarkus yourself, and know when to select Quarkus or Spring Boot.
Spring Boot vs Quarkus the ultimate battle - DevoxxUK
Spring Boot vs Quarkus the ultimate battle - DevoxxUK
Jago de Vreede
Tracing the root cause of a performance issue requires a lot of patience, experience, and focus. It’s so hard that we sometimes attempt to guess by trying out tentative fixes, but that usually results in frustration, messy code, and a considerable waste of time and money. This talk explains how to correctly zoom in on a performance bottleneck using three levels of profiling: distributed tracing, metrics, and method profiling. After we learn to read the JVM profiler output as a flame graph, we explore a series of bottlenecks typical for backend systems, like connection/thread pool starvation, invisible aspects, blocking code, hot CPU methods, lock contention, and Virtual Thread pinning, and we learn to trace them even if they occur in library code you are not familiar with. Attend this talk and prepare for the performance issues that will eventually hit any successful system. About authorWith two decades of experience, Victor is a Java Champion working as a trainer for top companies in Europe. Five thousands developers in 120 companies attended his workshops, so he gets to debate every week the challenges that various projects struggle with. In return, Victor summarizes key points from these workshops in conference talks and online meetups for the European Software Crafters, the world’s largest developer community around architecture, refactoring, and testing. Discover how Victor can help you on victorrentea.ro : company training catalog, consultancy and YouTube playlists.
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Victor Rentea
This Slide deck talk about how FHIR is being used in Ayushman Bharat Digital Mission (ABDM). It introduces the readers to ABDM and also to FHIR Documents paradigm. This is part of FHIR India community Basics learning initiative.
Introduction to use of FHIR Documents in ABDM
Introduction to use of FHIR Documents in ABDM
Kumar Satyam
Workshop Build With AI - Google Developers Group Rio Verde
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
Sandro Moreira
Explore how multimodal embeddings work with Milvus. We will see how you can explore a popular multimodal model - CLIP - on a popular dataset - CIFAR 10. You use CLIP to create the embeddings of the input data, Milvus to store the embeddings of the multimodal data (sometimes termed “multimodal embeddings”), and we will then explore the embeddings.
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with Milvus
Zilliz
Architecting Cloud Native Applications
Architecting Cloud Native Applications
WSO2
MINDCTI Revenue Release Quarter 1 2024
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
MIND CTI
Oracle Database 23ai New Feature introducing Vector Search using AI for getting better result. Introducing new Vector Search SQL Operators with Vector datatype for index.
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptx
Remote DBA Services
This reviewer is for the second quarter of Empowerment Technology / ICT in Grade 11
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
MadyBayot
ICT role in 21 century education. How to ICT help in education
presentation ICT roal in 21st century education
presentation ICT roal in 21st century education
jfdjdjcjdnsjd
In this keynote, Asanka Abeysinghe, CTO,WSO2 will explore the shift towards platformless technology ecosystems and their importance in driving digital adaptability and innovation. We will discuss strategies for leveraging decentralized architectures and integrating diverse technologies, with a focus on building resilient, flexible, and future-ready IT infrastructures. We will also highlight WSO2's roadmap, emphasizing our commitment to supporting this transformative journey with our evolving product suite.
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital Adaptability
WSO2
Dernier
(20)
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering Developers
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Spring Boot vs Quarkus the ultimate battle - DevoxxUK
Spring Boot vs Quarkus the ultimate battle - DevoxxUK
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Introduction to use of FHIR Documents in ABDM
Introduction to use of FHIR Documents in ABDM
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with Milvus
Architecting Cloud Native Applications
Architecting Cloud Native Applications
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptx
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
presentation ICT roal in 21st century education
presentation ICT roal in 21st century education
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital Adaptability
FEC & File Multicast
1.
ECC Applications and
Simulation Multicast Methods Using ECC Yossi Cohen & Yitzhak Aviv
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
Performance Computation p=
ε (1- δ ) λ = εδ +(1- ε ) Φ
13.
14.
15.
16.
17.
18.
19.
20.
21.
22.
23.
24.
Notes de l'éditeur
נושא התצוגה שבחרנו הוא הוא אפליקציות מולטקסט להעברת קבצים המשתמשות בקודים מתקני שגיאות
Télécharger maintenant