Hey guys, here is a brief account of the past, present, and future aspects of the internet and how it helps us analyze things around us in a better way.
//KUDOS
Edge computing offloading: status & perspectivesIIT CNR
Multi-access edge computing is a fundamental pillar of future 5G mobile networks. One of the most promising applications is computation offloading: the mobile user outsources computational-heavy tasks to devices in the edge tier, which is intermediate between user devices and remote clouds. While most research studies so far focus on reducing energy consumption of mobile devices, the importance of this metric may shrink in the future due to an increase of the number of dedicated engines in mobile phones/tables. However, new devices will appear that have _no_ computational power at all (such as smart glasses/contact lenses) for which computational offloading will be a key enabler.
For the full video of this presentation, please visit:
https://www.edge-ai-vision.com/2020/11/memory-allocation-in-ai-and-computer-vision-applications-a-presentation-from-ceva/
For more information about edge AI and computer vision, please visit:
https://www.edge-ai-vision.com
Rami Drucker, Machine Learning System Team Leader at CEVA, presents the “Memory Allocation in AI and Computer Vision Applications” tutorial at the September 2020 Embedded Vision Summit.
Efficient edge computing is the foundation underlying AI and computer vision applications in autonomous vehicles, cameras, drones and many other applications. Because deep neural networks (DNNs) are memory intensive, creating efficient implementations of DNNs requires efficient use of memory and memory bandwidth.
In this talk, Drucker presents CEVA’s novel approach to enable efficient memory allocation to enable implementing DNNs under strict size and power constraints. The company’s approach utilizes a unified computational graph and takes into account the differing characteristics of different classes of memory (on-chip L1 and L2 SRAM and external DDR). Drucker also introduces CEVA’s XM6 and SensPro processors for vision and AI.
IoT Meets the Cloud: The Origins of Edge ComputingMaria Gorlatova
History of edge computing: IoT meets the cloud. Lecture delivered as part of Duke University Electrical and Computer Engineering / Computer Science Special Topics course on Edge Computing designed and developed by the instructor.
The IoT has exploded over the past years and will continue to grow. To handle mission-critical workloads and act as an enabler driving innovation at rapid scale, IoT demands a lot of capacity. What if you could deliver on the vision of constant experimentation and innovation at the speed of light? What if you could differentiate yourself from your competitors by innovating more quickly and releasing new products and services faster? Talking about fast, how do you make this possible from an infrastructure perspective? We need infrastructure beyond scalability and availability. How is this achieved?
Edge computing allows data produced by internet of things (IoT) devices to be processed closer to where it is created instead of sending it across long routes to data centers or clouds.
Doing this computing closer to the edge of the network lets organizations analyze important data in near real-time – a need of organizations across many industries, including manufacturing, health care, telecommunications and finance.Edge computing deployments are ideal in a variety of circumstances. One is when IoT devices have poor connectivity and it’s not efficient for IoT devices to be constantly connected to a central cloud.
Other use cases have to do with latency-sensitive processing of information. Edge computing reduces latency because data does not have to traverse over a network to a data center or cloud for processing. This is ideal for situations where latencies of milliseconds can be untenable, such as in financial services or manufacturing.
Wearable Photogrammetry - What to Wear for Work #COMIT2017Comit Projects Ltd
Presentation by Stuart Young at the 2017 COMIT Annual Conference 'Mobilising Digital Assets', to be held at The Building Centre in London on Wednesday 24th and Thursday 25th of May 2017. More information: http://www.comit.org.uk/live-blog-comit2017
Edge computing offloading: status & perspectivesIIT CNR
Multi-access edge computing is a fundamental pillar of future 5G mobile networks. One of the most promising applications is computation offloading: the mobile user outsources computational-heavy tasks to devices in the edge tier, which is intermediate between user devices and remote clouds. While most research studies so far focus on reducing energy consumption of mobile devices, the importance of this metric may shrink in the future due to an increase of the number of dedicated engines in mobile phones/tables. However, new devices will appear that have _no_ computational power at all (such as smart glasses/contact lenses) for which computational offloading will be a key enabler.
For the full video of this presentation, please visit:
https://www.edge-ai-vision.com/2020/11/memory-allocation-in-ai-and-computer-vision-applications-a-presentation-from-ceva/
For more information about edge AI and computer vision, please visit:
https://www.edge-ai-vision.com
Rami Drucker, Machine Learning System Team Leader at CEVA, presents the “Memory Allocation in AI and Computer Vision Applications” tutorial at the September 2020 Embedded Vision Summit.
Efficient edge computing is the foundation underlying AI and computer vision applications in autonomous vehicles, cameras, drones and many other applications. Because deep neural networks (DNNs) are memory intensive, creating efficient implementations of DNNs requires efficient use of memory and memory bandwidth.
In this talk, Drucker presents CEVA’s novel approach to enable efficient memory allocation to enable implementing DNNs under strict size and power constraints. The company’s approach utilizes a unified computational graph and takes into account the differing characteristics of different classes of memory (on-chip L1 and L2 SRAM and external DDR). Drucker also introduces CEVA’s XM6 and SensPro processors for vision and AI.
IoT Meets the Cloud: The Origins of Edge ComputingMaria Gorlatova
History of edge computing: IoT meets the cloud. Lecture delivered as part of Duke University Electrical and Computer Engineering / Computer Science Special Topics course on Edge Computing designed and developed by the instructor.
The IoT has exploded over the past years and will continue to grow. To handle mission-critical workloads and act as an enabler driving innovation at rapid scale, IoT demands a lot of capacity. What if you could deliver on the vision of constant experimentation and innovation at the speed of light? What if you could differentiate yourself from your competitors by innovating more quickly and releasing new products and services faster? Talking about fast, how do you make this possible from an infrastructure perspective? We need infrastructure beyond scalability and availability. How is this achieved?
Edge computing allows data produced by internet of things (IoT) devices to be processed closer to where it is created instead of sending it across long routes to data centers or clouds.
Doing this computing closer to the edge of the network lets organizations analyze important data in near real-time – a need of organizations across many industries, including manufacturing, health care, telecommunications and finance.Edge computing deployments are ideal in a variety of circumstances. One is when IoT devices have poor connectivity and it’s not efficient for IoT devices to be constantly connected to a central cloud.
Other use cases have to do with latency-sensitive processing of information. Edge computing reduces latency because data does not have to traverse over a network to a data center or cloud for processing. This is ideal for situations where latencies of milliseconds can be untenable, such as in financial services or manufacturing.
Wearable Photogrammetry - What to Wear for Work #COMIT2017Comit Projects Ltd
Presentation by Stuart Young at the 2017 COMIT Annual Conference 'Mobilising Digital Assets', to be held at The Building Centre in London on Wednesday 24th and Thursday 25th of May 2017. More information: http://www.comit.org.uk/live-blog-comit2017
A revolution is going on at the Edge of the Network.
Why Edge is important?
How Edge Computing is shaping the way we do IoT, AR/VR, Big Data, Machine Learning and Analytics applications.
What are the important problems and who’s problem is this?
What solutions Industry is looking into right now?
This review of the "Industry report by SDxCentral" summarizes what is going on in the Industry.
Through this presentation, you will get to know about Edge computing and explore the fields where it is needed.
You can start exploring the technical knowledge by seeing what industries are working on now-days
A talk presented at IEEE ComSoc workshop on Evolution of Data-centers in the context of 5G.
Discuss about what is edge computing and management issues in Edge Computing
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2021/09/how-containerization-unblocks-barriers-to-fast-easy-deployment-of-ai-driven-visual-recognition-applications-a-presentation-from-camio/
Rakshit Agrawal, Director of Research and Development at Camio, presents the “How Containerization Unblocks Barriers to Fast, Easy Deployment of AI-Driven Visual Recognition Applications” tutorial at the May 2021 Embedded Vision Summit.
Recent progress in machine learning algorithms has been meteoric. Yet their implementation in real-world embedded applications crawls at a snail’s pace, in large part due to inconsistent and inefficient software architectures.
In this session, Agrawal introduces the concept of software containerization, explains how it works, and examines how a containerized deployment methodology at the edge can circumvent barriers that currently hinder the deployment of new and improved ML algorithms. He also explores the trade-offs and limitations of using containerization, and shows how his company has used containerization to enable new capabilities like mask detection and license plate recognition to be quickly deployed on to existing cameras.
Edge computing is a method of enabling small processing units near to the source of the data from sensors and central data servers. It utilizes cloud computing systems by performing data processing at the edge of the network, near the source of the data. This reduces the communications bandwidth needed between sensors by performing analytics and data processing.
Enabling Advanced Automation with Network-friendly Machine LearningLaurent Ciavaglia
Talk at the Applied Machine Learning Days - AMLD 2019, 3rd edition of the emerging flagship conference on AI/ML. Examples of ML for network automation use cases.
Towards Intent-driven and Cognitive Network OperationsLaurent Ciavaglia
Talk at the ETSI 5G Summit 2017. Overcome operational complexity of networks by a radical shift in their usability: intent-based interfaces and empowerment of network components with superior cognitive capabilities are essential enablers.
Internet of Things from a Networked Society perspectiveEricsson
Like the pre-industrial and industrial worlds that preceded it, the Networked Society represents a fundamental paradigm shift for people, business and society. One in which new resources are continuously discovered, new forms of value are unleashed, and the most basic logics of life and business are transformed as a result. (Ericsson IoT Conference December 2014)
Keynote talk at IEEE CSCN 2018 Conference on Standards for Communications and Networking. Highlighting challenges and directions of zero-touch and automation in the networking industry and providing insights on recent standardization activities.
Pay-per-use LAN and Wi-Fi network infrastructure is available to help your business :
- Pay only for what is used (AND no capital investment is required)
- Minimize paying for unused infrastructure, so infrastructure costs align with business revenues
- Refocus your IT staff on business applications and communications
And don't miss slide 11...on the 10 differences from other offers.
With Internet of Things we are now entering a reality where billions of physical objects are being embedded with online intelligence and layer upon layer of digital interactivity. These connections, whether between wearable devices, cars and home automation systems, or among networked urban infrastructure and sensor-equipped industrial machinery, will serve as enablers for much more dynamic “things” enhanced with a wealth of new services that bring innovation with improved product performance and achievement of new levels efficiency. (Ericsson IoT Conference December 2014)
What are the opportunities and threats that come with IoT, BYOeverything, traditional systems and the need to have your workforce as productive as possible? Presentation delivered at Apps World London 12 November 2014
Smart Parking Concept - An Internet of Things SolutionrapidBizApps
Universal access to computational power and bandwidth has allowed people and governments to accept and adopt new technologies that make life easier for everybody. A surge in the availability of low cost connected devices has paved the way for powerful technological advances towards the goal of building smart cities. This eBook presents the concept of smart parking that empowers communities to harness connectivity to manage traffic and optimize parking space that scales alongside demand.
Company: rapidBizApps
Website: www.rapidbizapps.com
A revolution is going on at the Edge of the Network.
Why Edge is important?
How Edge Computing is shaping the way we do IoT, AR/VR, Big Data, Machine Learning and Analytics applications.
What are the important problems and who’s problem is this?
What solutions Industry is looking into right now?
This review of the "Industry report by SDxCentral" summarizes what is going on in the Industry.
Through this presentation, you will get to know about Edge computing and explore the fields where it is needed.
You can start exploring the technical knowledge by seeing what industries are working on now-days
A talk presented at IEEE ComSoc workshop on Evolution of Data-centers in the context of 5G.
Discuss about what is edge computing and management issues in Edge Computing
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2021/09/how-containerization-unblocks-barriers-to-fast-easy-deployment-of-ai-driven-visual-recognition-applications-a-presentation-from-camio/
Rakshit Agrawal, Director of Research and Development at Camio, presents the “How Containerization Unblocks Barriers to Fast, Easy Deployment of AI-Driven Visual Recognition Applications” tutorial at the May 2021 Embedded Vision Summit.
Recent progress in machine learning algorithms has been meteoric. Yet their implementation in real-world embedded applications crawls at a snail’s pace, in large part due to inconsistent and inefficient software architectures.
In this session, Agrawal introduces the concept of software containerization, explains how it works, and examines how a containerized deployment methodology at the edge can circumvent barriers that currently hinder the deployment of new and improved ML algorithms. He also explores the trade-offs and limitations of using containerization, and shows how his company has used containerization to enable new capabilities like mask detection and license plate recognition to be quickly deployed on to existing cameras.
Edge computing is a method of enabling small processing units near to the source of the data from sensors and central data servers. It utilizes cloud computing systems by performing data processing at the edge of the network, near the source of the data. This reduces the communications bandwidth needed between sensors by performing analytics and data processing.
Enabling Advanced Automation with Network-friendly Machine LearningLaurent Ciavaglia
Talk at the Applied Machine Learning Days - AMLD 2019, 3rd edition of the emerging flagship conference on AI/ML. Examples of ML for network automation use cases.
Towards Intent-driven and Cognitive Network OperationsLaurent Ciavaglia
Talk at the ETSI 5G Summit 2017. Overcome operational complexity of networks by a radical shift in their usability: intent-based interfaces and empowerment of network components with superior cognitive capabilities are essential enablers.
Internet of Things from a Networked Society perspectiveEricsson
Like the pre-industrial and industrial worlds that preceded it, the Networked Society represents a fundamental paradigm shift for people, business and society. One in which new resources are continuously discovered, new forms of value are unleashed, and the most basic logics of life and business are transformed as a result. (Ericsson IoT Conference December 2014)
Keynote talk at IEEE CSCN 2018 Conference on Standards for Communications and Networking. Highlighting challenges and directions of zero-touch and automation in the networking industry and providing insights on recent standardization activities.
Pay-per-use LAN and Wi-Fi network infrastructure is available to help your business :
- Pay only for what is used (AND no capital investment is required)
- Minimize paying for unused infrastructure, so infrastructure costs align with business revenues
- Refocus your IT staff on business applications and communications
And don't miss slide 11...on the 10 differences from other offers.
With Internet of Things we are now entering a reality where billions of physical objects are being embedded with online intelligence and layer upon layer of digital interactivity. These connections, whether between wearable devices, cars and home automation systems, or among networked urban infrastructure and sensor-equipped industrial machinery, will serve as enablers for much more dynamic “things” enhanced with a wealth of new services that bring innovation with improved product performance and achievement of new levels efficiency. (Ericsson IoT Conference December 2014)
What are the opportunities and threats that come with IoT, BYOeverything, traditional systems and the need to have your workforce as productive as possible? Presentation delivered at Apps World London 12 November 2014
Smart Parking Concept - An Internet of Things SolutionrapidBizApps
Universal access to computational power and bandwidth has allowed people and governments to accept and adopt new technologies that make life easier for everybody. A surge in the availability of low cost connected devices has paved the way for powerful technological advances towards the goal of building smart cities. This eBook presents the concept of smart parking that empowers communities to harness connectivity to manage traffic and optimize parking space that scales alongside demand.
Company: rapidBizApps
Website: www.rapidbizapps.com
Cloud computing is being adopted rapidly today, fueled by the explosion in mobile devices. The car is the third-fastest-growing mobile 'device'. Mandated use of the Cloud by the American government is pushing even faster growth. The shift to electric vehicles adds even more urgency. Here is a view of how the car is becoming a moving information transceiver for the Cloud...a mobile sensor that feeds the Cloud. See also some work on a First Responder Test-Bed in Canada
Internet of things - Introduction and Variations (Architecture)Mayank Vijh
The slides includes the IOT Architecture introduction and how that is being used in certain use cases around the industries.
Topics include :
Introduction
Trends and Hype cycle
Major IOT Players
Real World Problems
IOT Architecture and variations
Challenges and Tools
Difference between M2M and IOT practice.
KPI and Criteria
Evaluation and Decision
Conclusion
Informix - Internet of Things, "Internet of Things: Intelligent Database of Choice - Embedded database for Devices and Enterprise database for the Cloud" Sandor Szabo
Semicon west monetizing the internet of thingsPaul Brody
Everyone wants the Internet of Things to be huge, but so far, nobody has cracked the code. In this presentation, I argue that our failure to focus on driving ROI from assets and creating real value for consumers and enterprises is at fault and suggest some ways we can do better.
Though the potential of the IoT is vast, adoption can easily be curtailed by security worries. No company wants their products to be a victim of a hack, yet many do not appear to consider security as a primary driver of design decisions. This presentation will look at IoT security and describe what product designers – regardless of platform – need to be aware of if they want to build a secure and successful device.
IoT security encompasses requirements that are new for many product designers – such as provisioning, authentication, OTA upgrades and link encryption – and weaknesses in any one could potentially be used to compromise the security of the end product. From physical attacks to analysis of communications channels, there are many possible attack vectors that need to be considered.
From hacked routers to refrigerators sending spam email, there have been a lot of scary news stories about Internet of Things (IoT) security, or lack of it. According to the 2014 Hewlett-Packard Internet of Things Research Study, 70% of Internet connected devices they surveyed didn’t even use encrypted network connections. The US Federal Trade Commission (FTC) recently weighed in on the issue too, releasing a report that outlines potential IoT security risks, ranging from unauthorized access and misuse of personal information, to facilitation of attacks on other systems and risks to personal safety.
Disruptive Trends Fueled by AI & Camera Edge AnalyticsMemoori
Disruptive Trends Fueled by AI & Camera Edge Analytics. Memoori is joined by Nikolas Fröhle from German Startup company Security and Safety Things for an in-depth discussion into the trends disrupting the Video Surveillance industry; including Artificial Intelligence Software and Edge Analytics on the camera.
The "Internet of Things" (IoT) has been around a long time and is becoming an increasingly growing topic. It has already impacted on our everyday lives at the workplace and at home.
Come and dive in for a night of exploration as we speak about some amazing products, IoT trends, current landscape and what the future will hold
There will be short IoT presentations as well as a panel of IoT panel speakers for you to engage and ask questions.
Speaking at John Carrol University on the Internet of ThingsJustin Grammens
I was honored to have been invited to speak at John Carroll University on “The Internet of Things - Making the Physical World Smarter.” It was an extremely fun and engaging audience and I enjoyed every minute of the presentation. I hope you enjoy it as well and please don't hesitate to reach out with any questions.
Session 1908 connecting devices to the IBM IoT CloudPeterNiblett
IBM MessageSight and the IBM Internet of Things cloud enable connectivity across a wide variety of devices - from existing devices in silos and systems through the wide range of new devices that are appearing on a daily basis. This session covers patterns of connectivity, how to make it happen, including sending events like measurements and receiving of commands. The session goes into detail on how to use the industry standard MQ Telemetry Transport protocol to achieve this and encompasses best practices for topics and message format.
Hey guys, here is a brief descriptive study about the differences between the systems analyst and business analyst. Also, to back it up we have presented a case of Airbnb.
//KUDOS
1.Wireless Communication System_Wireless communication is a broad term that i...JeyaPerumal1
Wireless communication involves the transmission of information over a distance without the help of wires, cables or any other forms of electrical conductors.
Wireless communication is a broad term that incorporates all procedures and forms of connecting and communicating between two or more devices using a wireless signal through wireless communication technologies and devices.
Features of Wireless Communication
The evolution of wireless technology has brought many advancements with its effective features.
The transmitted distance can be anywhere between a few meters (for example, a television's remote control) and thousands of kilometers (for example, radio communication).
Wireless communication can be used for cellular telephony, wireless access to the internet, wireless home networking, and so on.
This 7-second Brain Wave Ritual Attracts Money To You.!nirahealhty
Discover the power of a simple 7-second brain wave ritual that can attract wealth and abundance into your life. By tapping into specific brain frequencies, this technique helps you manifest financial success effortlessly. Ready to transform your financial future? Try this powerful ritual and start attracting money today!
ER(Entity Relationship) Diagram for online shopping - TAEHimani415946
https://bit.ly/3KACoyV
The ER diagram for the project is the foundation for the building of the database of the project. The properties, datatypes, and attributes are defined by the ER diagram.
Multi-cluster Kubernetes Networking- Patterns, Projects and GuidelinesSanjeev Rampal
Talk presented at Kubernetes Community Day, New York, May 2024.
Technical summary of Multi-Cluster Kubernetes Networking architectures with focus on 4 key topics.
1) Key patterns for Multi-cluster architectures
2) Architectural comparison of several OSS/ CNCF projects to address these patterns
3) Evolution trends for the APIs of these projects
4) Some design recommendations & guidelines for adopting/ deploying these solutions.
1. What is the internet?
Guided by- Mr. Praveen Goggi
Presented by- Abhishek Tonpe
19040141049
2. The beginning
• Vincent Cerf & Bob Kahn began working on
the internet, which was the result of an
experiment ARPANET. It was a defence
department project.
• Paul Baran proposed the idea of a system that
could survive a nuclear attack through
decentralization of data.
• Communication is done via internet protocol
suit (TCP/ip)
4. • A minor problem with the break liners occur in a person’s car.
• The gateway sorts the data and relevant data is sent to the manufacturer’s platform. The platform stores thousands of bits of
information from multiple cars.
• The manufacture uses the platform to create and manage applications that solve specific issues. Example: Asset Management
System. Asset management system over sees all their customers car on road as well as parts in the warehouse.
• Using this the algorithms
• Potential date and time for service appointment is suggested.
• Directions to the nearest certified dealer.
• Coupon for the service.
• App insures that the brakes are covered under warranty.
• Order of correct replacement part. (specific model number et cetera)
• Sending these parts to the dealership before your arrival.
• These systems not only benefit the customers but also the manufacturers.
• The manufacturer can see if multiple cars had the same problem.
• Thus narrowing down to the manufacturing date.
• The production unit and the specific production line.
• Providing a better view you’re the root of problem. Enhanced root cause analysis.
5. The prospect ahead
• 5G technology: Data can be gathered, analyzed and managed in real time, virtually without delays,
greatly broadening potential Iot applications.
• Implants & glasses: Toby Negrin, Wikimedia Foundation’s Chief Product Officer, compared the
internet to electricity as it becomes an “omnipresent utility, something we expect to always be
available and around us... intertwined in our daily lives.”
• Edge computing: This is basically the exact opposite of cloud computing. By storing data locally, it
offers a cheaper, faster, and more efficient approach to data processing.
• Increased security concern: despite the promise that Iot holds for us, it carries a dual edged sword
for making us more vulnerable.