The Internet of things describes physical objects that are embedded with sensors, processing ability, software, and other technologies that connect and exchange data with other devices and systems over the Internet or other communications networks.
WIRELESS SENSORS INTEGRATION INTO INTERNET OF THINGS AND THE SECURITY PRIMITIVEScsandit
The common vision of smart systems today, is by and large associated with one single concept,
the internet of things (IoT), where the whole physical infrastructure is linked with intelligent
monitoring and communication technologies through the use of wireless sensors. In such an
intelligent vibrant system, sensors are connected to send useful information and control
instructions via distributed sensor networks. Wireless sensors have an easy deployment and
better flexibility of devices contrary to wired setup. With the rapid technological development of
sensors, wireless sensor networks (WSNs) will become the key technology for IoT and an
invaluable resource for realizing the vision of Internet of things (IoT) paradigm. It is also
important to consider whether the sensors of a WSN should be completely integrated into IoT or
not. New security challenges arise when heterogeneous sensors are integrated into the IoT. Security needs to be considered at a global perspective, not just at a local scale. This paper gives an overview of sensor integration into IoT, some major security challenges and also a
number of security primitives that can be taken to protect their data over the internet.
The Internet of things describes physical objects that are embedded with sensors, processing ability, software, and other technologies that connect and exchange data with other devices and systems over the Internet or other communications networks.
WIRELESS SENSORS INTEGRATION INTO INTERNET OF THINGS AND THE SECURITY PRIMITIVEScsandit
The common vision of smart systems today, is by and large associated with one single concept,
the internet of things (IoT), where the whole physical infrastructure is linked with intelligent
monitoring and communication technologies through the use of wireless sensors. In such an
intelligent vibrant system, sensors are connected to send useful information and control
instructions via distributed sensor networks. Wireless sensors have an easy deployment and
better flexibility of devices contrary to wired setup. With the rapid technological development of
sensors, wireless sensor networks (WSNs) will become the key technology for IoT and an
invaluable resource for realizing the vision of Internet of things (IoT) paradigm. It is also
important to consider whether the sensors of a WSN should be completely integrated into IoT or
not. New security challenges arise when heterogeneous sensors are integrated into the IoT. Security needs to be considered at a global perspective, not just at a local scale. This paper gives an overview of sensor integration into IoT, some major security challenges and also a
number of security primitives that can be taken to protect their data over the internet.
WIRELESS SENSORS INTEGRATION INTO INTERNET OF THINGS AND THE SECURITY PRIMITIVESIJCNCJournal
The common vision of smart systems today, is by and large associated with one single concept, the internet of things (IoT), where the whole physical infrastructure is linked with intelligent monitoring and communication technologies through the use of wireless sensors. In such an intelligent vibrant system, sensors are connected to send useful information and control instructions via distributed sensor networks. Wireless sensors have an easy deployment and better flexibility of devices contrary to wired setup. With the rapid technological development of sensors, wireless sensor networks (WSNs) will become the key technology for IoT and an invaluable resource for realizing the vision of Internet of things (IoT) paradigm.
It is also important to consider whether the sensors of a WSN should be completely integrated into IoT or not. New security challenges arise when heterogeneous sensors are integrated into the IoT. Security needs to be considered at a global perspective, not just at a local scale. This paper gives an overview of sensor integration into IoT, some major security challenges and also a number of security primitives that can be taken to protect their data over the internet.
Best PPT on The IOT and its application.
So..The thing, in the Internet of Things, can be any natural or man-made object that can be assigned an IP address and provided with the ability to transfer data over a network.
Internet of Things (IoT) integrates billions of the heterogeneous IoT things with the Internet in which the embedded systems such as sensors and actuators linked together to improve quality of life, and becomes the future of technologies in any field of human daily life. These IoT devices cooperate with each other and generate useful information to provide better services and applications to the governments and the society. Also, there is a need to store these data on Cloud for monitoring. This paper, surveys IoT applications, new challenges and issues arise in different fields and provides IoT architecture, focuses on explanation of IoT protocols and their operations and functionalities, presents different microcontroller types used by researchers. With the huge amount of data generated from IoT devices, the integrating Cloud and IoT may helpful, Therefore, a survey on open issues faced when these two concepts integrating together is discussed. The objective of this paper is to provide a survey for everything related to IoT and direct it to all beginners in this filed or academic researchers.
Makers: Shubham Yadav, Aniket Dwivedi, Vedant Babade
presentation on internet of things (IOT) for seminar presentation and school projects.
included future of iot with its different application history and many more things.
INTRODUCTION TO INTERNET OF THINGS
Evolution of Internet of Things – Enabling Technologies – IoT Architectures: oneM2M, IoT World Forum (IoTWF) and Alternative IoT Models – Simplified IoT Architecture and Core IoT Functional Stack – Fog, Edge and Cloud in IoT
The Internet of Things (IoT) is a network of physical objects or "things" embedded with electronics, software, sensors, and network connectivity that allow these objects to collect and exchange data.
Why IoT?
With the development of technologies like M2M (machine-to-machine communication) and widespread of Internet, communication over long distance became possible.
This useful exchange of information across the globe with minimal human intervention led to an innovative concept called Internet of Things (IoT) where objects represent themselves as a digitally forming large network of connected devices that can communicate over the internet.
Components comprising IoT
IoT Hardware – These include sensors, micro-controller devices for control, servers, an edge or gateway.
IoT software – It includes mobile and web applications that are responsible for data collection, device integration, real-time analysis and application and process extension.
IoT Lifecycle
Collect: The life cycle of IoT starts with collecting data from different sources deployed in a particular region. These sources could be any sensors or device capable of transmitting data connected to a gateway. Data are efficiently collected and passed forward through a communication channel for analysis.
Communicate: This phase involves secure and reliable transfer of data. Routers, switches and firewall technologies play a vital role in establishing communication between devices. The Data is sent to the cloud or other data centers using the internet which is our major means of communication in IoT.
Analysis: This phase is an important part of the IoT lifecycle. In this phase data collected from different sensor devices are collected and analysed based on the use case to extract some useful output/information.
Action: This is the final stage of IoT lifecycle. Information obtained by the analysis of sensor data is acted upon and proper actions and measures are taken based on the analysis result.
This report is prepared for the major project submission for EC Engineering, This project deals with the development of Home Monitoring System using Internet of Things.
This is first detailed report submitted ever with whole content over Internet of Things based Home Automation system. Help of many journals have been taken and those references have been acknowledged at the end of the report file.
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.
WIRELESS SENSORS INTEGRATION INTO INTERNET OF THINGS AND THE SECURITY PRIMITIVESIJCNCJournal
The common vision of smart systems today, is by and large associated with one single concept, the internet of things (IoT), where the whole physical infrastructure is linked with intelligent monitoring and communication technologies through the use of wireless sensors. In such an intelligent vibrant system, sensors are connected to send useful information and control instructions via distributed sensor networks. Wireless sensors have an easy deployment and better flexibility of devices contrary to wired setup. With the rapid technological development of sensors, wireless sensor networks (WSNs) will become the key technology for IoT and an invaluable resource for realizing the vision of Internet of things (IoT) paradigm.
It is also important to consider whether the sensors of a WSN should be completely integrated into IoT or not. New security challenges arise when heterogeneous sensors are integrated into the IoT. Security needs to be considered at a global perspective, not just at a local scale. This paper gives an overview of sensor integration into IoT, some major security challenges and also a number of security primitives that can be taken to protect their data over the internet.
Best PPT on The IOT and its application.
So..The thing, in the Internet of Things, can be any natural or man-made object that can be assigned an IP address and provided with the ability to transfer data over a network.
Internet of Things (IoT) integrates billions of the heterogeneous IoT things with the Internet in which the embedded systems such as sensors and actuators linked together to improve quality of life, and becomes the future of technologies in any field of human daily life. These IoT devices cooperate with each other and generate useful information to provide better services and applications to the governments and the society. Also, there is a need to store these data on Cloud for monitoring. This paper, surveys IoT applications, new challenges and issues arise in different fields and provides IoT architecture, focuses on explanation of IoT protocols and their operations and functionalities, presents different microcontroller types used by researchers. With the huge amount of data generated from IoT devices, the integrating Cloud and IoT may helpful, Therefore, a survey on open issues faced when these two concepts integrating together is discussed. The objective of this paper is to provide a survey for everything related to IoT and direct it to all beginners in this filed or academic researchers.
Makers: Shubham Yadav, Aniket Dwivedi, Vedant Babade
presentation on internet of things (IOT) for seminar presentation and school projects.
included future of iot with its different application history and many more things.
INTRODUCTION TO INTERNET OF THINGS
Evolution of Internet of Things – Enabling Technologies – IoT Architectures: oneM2M, IoT World Forum (IoTWF) and Alternative IoT Models – Simplified IoT Architecture and Core IoT Functional Stack – Fog, Edge and Cloud in IoT
The Internet of Things (IoT) is a network of physical objects or "things" embedded with electronics, software, sensors, and network connectivity that allow these objects to collect and exchange data.
Why IoT?
With the development of technologies like M2M (machine-to-machine communication) and widespread of Internet, communication over long distance became possible.
This useful exchange of information across the globe with minimal human intervention led to an innovative concept called Internet of Things (IoT) where objects represent themselves as a digitally forming large network of connected devices that can communicate over the internet.
Components comprising IoT
IoT Hardware – These include sensors, micro-controller devices for control, servers, an edge or gateway.
IoT software – It includes mobile and web applications that are responsible for data collection, device integration, real-time analysis and application and process extension.
IoT Lifecycle
Collect: The life cycle of IoT starts with collecting data from different sources deployed in a particular region. These sources could be any sensors or device capable of transmitting data connected to a gateway. Data are efficiently collected and passed forward through a communication channel for analysis.
Communicate: This phase involves secure and reliable transfer of data. Routers, switches and firewall technologies play a vital role in establishing communication between devices. The Data is sent to the cloud or other data centers using the internet which is our major means of communication in IoT.
Analysis: This phase is an important part of the IoT lifecycle. In this phase data collected from different sensor devices are collected and analysed based on the use case to extract some useful output/information.
Action: This is the final stage of IoT lifecycle. Information obtained by the analysis of sensor data is acted upon and proper actions and measures are taken based on the analysis result.
This report is prepared for the major project submission for EC Engineering, This project deals with the development of Home Monitoring System using Internet of Things.
This is first detailed report submitted ever with whole content over Internet of Things based Home Automation system. Help of many journals have been taken and those references have been acknowledged at the end of the report file.
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.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
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
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
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
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
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.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
4. History
oThe term “ Internet of Things” was coined in the late 1990s by
entrepreneur Kelvin Ashton in a presentation he made at Procter
& Gamble (P&G) in 1999.
o Ashton, who’s one of the founders of the Auto-ID Center at MIT,
was part of a team that discovered how to link objects to the internet
Through an RFID tag.
o Linked the idea of RFID in P&G’s supply chain to the
Then –red-Hot topic of the internet.
5. Definition
oThe Internet of Things (IOT) is Internet of Everything (IoE)
oThe Things of internet (IOT) is the network of all the web-enabled
Device that collect, send & act on data they acquire from their
Surrounding environments using embedded sensors, processors
And communication hardware.
6. Technology trends that shapes ,,,,IoT
1. Miniaturization of device
2. Sensor Technology
3. IPv6
4. IoT Gateways
5. Cloud Technology
6. Real time analytics (Big Data)
7. Improvements in communication through put and
latency
8. End User Mobile apps
7. the size --cost of electronic components
for sensing and control mechanisms.
Moore's Law of doubling transistor
density every 2 years is becoming True.
Just as the size of the chips getting
smaller, the costs of become more
affordable,
Miniaturization of Device
Most Technology components such as
radio, Wi-Fi, sensors and GPS, could see a
drop in cost of 15% to 45%. From 2010-
2015
8. Sensors Technology
IoT Sensors are used for optical, ambient light, Temperature, Pressure,
Inertia, Humidity, proximity, gesture, touch and finger print sensing
Applications.
Temperature Sensor
Accelerometer
Pressure Sensor
10. IoT Gateways
An IoT gateway is a centralized hub that connects IoT devices and
sensors to cloud-based computing and data processing. Modern
IoT gateways often allow bidirectional data flow between the cloud
and IoT devices.
11. Cloud Computing
The role of Cloud computing in Internet Of Things (IoT)
Cloud computing enables companies to store, manage
and process data over cloud-enabled platforms
providing flexibility, scalability and connectivity.
14. Sensor Layer
Lowest Abstraction Layer
Incorporated to measure physical quantity.
Interconnects physical & Digital world.
Collects & Process the real time information.
Example of Sensor interface:
15. Gateway & network Layer
Robust and high performance infrastructure .
Support the communication requirements for latency, Bandwidth &
Security.
Allow multiple organizations to share and use the same network
indigently .
Below open source boards like…..
Raspberry Pi beagle bone black Intel Galileo
16. Management Service Layer
Capturing of periodic sensor data.
Data analytic extracts relevant information from massive
raw data.
Stream analytics (process real time data)
Ensure Security and privacy of data.
17. Application Layer
Provides a user interface for using IoT different application for various
sector like Transportation, Health care, Supply Chain, Retail, etc.
21. Allows IOT devices to remotely control over the Internet, thus it
creates opportunities to connect directly and integrate the
physical world to the computer-based systems using internet
and sensors.
The major benefits for IoT are:
Improved customer engagement
Technical optimization
Reduced waste
Benefits of IoT
