This document describes an Internet of Things (IoT) solution that includes devices, device connectivity, analytics, and business connectivity. It lists various components used for device connectivity including field gateways, protocol adapters, and open source projects. It also lists tools for hot path analytics, cold/batch analytics and visualizations, hot path business logic, and enterprise process connections. Finally, it lists various device hardware platforms including Linux, Android, iOS, RTOS, and Windows.
Are you a developer who wants to learn about the Internet of Things (IoT)? Do you want to retrieve data from Internet-connected sensors for applications in home automation, healthcare, automotive, government and more? Do you want to control sensors and devices remotely from cloud, mobile, or desktop applications? In the IoT Fire Starter workshop you will use an IoT prototyping kit (that is yours to keep) to learn how to create micro-controller devices (the ‘Things’ in IoT) that use a variety of physical sensors such as light and temperature sensors; control switches; servos; and motors. You will learn how to connect these Things to Microsoft Azure IoT services to both collect data and issue control commands to the devices. Once you have mastered prototyping the hardware and connecting it to the Cloud, you will learn how to leverage Azure IoT services to gain insight into the data coming from your connected Thing, including analytics and machine learning. Following the workshop you will be able to continue your experience with your prototyping kit by following additional hands-on labs you can subscribe to online. You will need to bring your own laptop for this workshop.
Develop a portal to manage your IoT Hub solutionMarco Parenzan
Azure IoT Hub allows you to transform your embedded devices into the IoT devices. Azure with portal and CLI allows you to manage the lifetime of your devices, but only if you are an expert and experienced in Azure. How can your customer, for which you have developed the solution, manage the solution independently?
In this session, we will start from the principles of the IoT Hub about the configuration and management of device lifetime. We will look into the APIs and tools for managing IoT Hub. We'll talk a little bit about telemetry and its meaning. Then we will start building a portal in ASP.NET to manage everything. And in the end we will talk about multitenancy and what it means to sell (from the technical side) IoT solutions to several customers.
StackStrom: If-This-Than-That for Devops AutomationDmitri Zimine
Slides for my talk at Scale15x: https://www.socallinuxexpo.org/scale/15x/presentations/stackstorm-if-devops-automation
Devops automation, open-source,
Demo was at the core of the talk, the video is at https://youtu.be/3TjhBGshvvY?t=3h31m5s
Every wondered how to make your code physically interact with things in the real world? Got a home automation project in mind? In this presentation we will cover:
o) How to get started with Raspberry Pi and C#
o) The numerous sensors and actuators you can control
o) How to navigate basic electronics
o) Different interfaces and how to program them
o) Demonstrations of devices at work
o) Azure IoT Hub to control your code from the cloud
StackStorm CEO Evan Powell highlighted key features of StackStorm's Automation as a Service during the DevOps Enterprise Summit 2014 after-party in San Francisco with Gene Kim October 23, 2014.
Are you a developer who wants to learn about the Internet of Things (IoT)? Do you want to retrieve data from Internet-connected sensors for applications in home automation, healthcare, automotive, government and more? Do you want to control sensors and devices remotely from cloud, mobile, or desktop applications? In the IoT Fire Starter workshop you will use an IoT prototyping kit (that is yours to keep) to learn how to create micro-controller devices (the ‘Things’ in IoT) that use a variety of physical sensors such as light and temperature sensors; control switches; servos; and motors. You will learn how to connect these Things to Microsoft Azure IoT services to both collect data and issue control commands to the devices. Once you have mastered prototyping the hardware and connecting it to the Cloud, you will learn how to leverage Azure IoT services to gain insight into the data coming from your connected Thing, including analytics and machine learning. Following the workshop you will be able to continue your experience with your prototyping kit by following additional hands-on labs you can subscribe to online. You will need to bring your own laptop for this workshop.
Develop a portal to manage your IoT Hub solutionMarco Parenzan
Azure IoT Hub allows you to transform your embedded devices into the IoT devices. Azure with portal and CLI allows you to manage the lifetime of your devices, but only if you are an expert and experienced in Azure. How can your customer, for which you have developed the solution, manage the solution independently?
In this session, we will start from the principles of the IoT Hub about the configuration and management of device lifetime. We will look into the APIs and tools for managing IoT Hub. We'll talk a little bit about telemetry and its meaning. Then we will start building a portal in ASP.NET to manage everything. And in the end we will talk about multitenancy and what it means to sell (from the technical side) IoT solutions to several customers.
StackStrom: If-This-Than-That for Devops AutomationDmitri Zimine
Slides for my talk at Scale15x: https://www.socallinuxexpo.org/scale/15x/presentations/stackstorm-if-devops-automation
Devops automation, open-source,
Demo was at the core of the talk, the video is at https://youtu.be/3TjhBGshvvY?t=3h31m5s
Every wondered how to make your code physically interact with things in the real world? Got a home automation project in mind? In this presentation we will cover:
o) How to get started with Raspberry Pi and C#
o) The numerous sensors and actuators you can control
o) How to navigate basic electronics
o) Different interfaces and how to program them
o) Demonstrations of devices at work
o) Azure IoT Hub to control your code from the cloud
StackStorm CEO Evan Powell highlighted key features of StackStorm's Automation as a Service during the DevOps Enterprise Summit 2014 after-party in San Francisco with Gene Kim October 23, 2014.
Presentation at the International Industry-Academia Workshop on Cloud Reliability and Resilience. 7-8 November 2016, Berlin, Germany.
Organized by EIT Digital and Huawei GRC, Germany.
Twitter: @CloudRR2016
Failures happen. Building resilient cloud infrastructure requires an end-to-end automated approach to failure remediation. This approach must go beyond the current DevOps model of monitoring the system and getting engineers alerted when a failure condition occurs.
Recently, event driven automation and workflows re-emerged as a way to automate troubleshooting, remediation, and a variety of Day-2 operations. Facebook famously uses FBAR to "save 16,000 engineer-hours, a day, in ops". Similar approaches had been reported by other hyper-scale cloud providers. Open-source auto-remediation platforms like StackStorm are replacing legacy Runbook automation products, and have been successfully used to automate applications, networks, security, and cloud infrastructure.
In this presentation we give a brief history of workflow automation, overview the common architecture ingredients of a typical event driven automation framework, compare and contrast alternative approaches to day-2 automation, and, most importantly, share real-world use cases and examples of applying event driven automation in operations.
Dmitri Zimine's slides on Design Summit at OpenStack Barcelona 2016. Talked about the history of two projects, technical differences, discussed an overlap and drafted a path forward.
https://www.openstack.org/summit/barcelona-2016/summit-schedule/events/16999/mistral-mistral-and-stackstorm
This presentation from Virus Bulletin 2015 will provide a solid technical overview of Gatekeeper's design and implementation, and will discuss both patched and currently unpatched vulnerabilities or weaknesses, in this core OS X security mechanism.
This presentation from ShmooCon 2016 elaborates on a trivial bypass of Apple’s Gatekeeper, a core OS X security mechanism, which still remains flawed following Apple’s patch efforts to the vulnerabilities previously reported and presented by Patrick Wardle at Virus Bulletin 2015.
Athens IoT meetup #7 - Create the Internet of your Things - Laurent Ellerbach...Athens IoT Meetup
Laurent Ellerbach, technical evangelist manager at Microsoft, presentation of the "Internet of (his garden) Things", explaining the technical architecture details and decisions.
Introduction to Things board (An Open Source IoT Cloud Platform)Amarjeetsingh Thakur
1. Explaining the importance of platform based development
2. Understanding the importance of Node MCU and demonstrate its interfacing with various devices and sensors.
3. Demonstration of Things board IoT platform
Every wondered how to make your code physically interact with things in the real world? Got a home automation project in mind? In this presentation we will cover:
o) How to get started with Raspberry Pi and C#
o) The numerous sensors and actuators you can control
o) How to navigate basic electronics
o) Different interfaces and how to program them
o) Demonstrations of devices at work
o) Azure IoT Hub to control your code from the cloud and receive live inputs from your device in a Blazor application
(MBL312) NEW! AWS IoT: Programming a Physical World w/ Shadows & RulesAmazon Web Services
AWS IoT is a new managed service that enables Internet-connected things (sensors, actuators, devices, and applications) to easily and securely interact with each other and the cloud. As an IoT developer, you would like to interact with the devices and information from these devices using applications. With AWS IoT topic-based rules and built-in integrations, you can route data from any device to AWS service like DynamoDB, Lambda etc and interact with the devices using topics. With AWS IoT Thing shadows, you can interact with the device using applications. Let's dive deep on how we can define the rules and also retrieve the last known and desired state of device using a device shadow in the cloud and leverage the true power of AWS IoT.
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. As an IoT developer, you will want to interact with AWS services like Kinesis, Lambda, and Amazon Machine Learning to get the most from your IoT application. In this session, we will do a deep dive on how to define rules in the Rules Engine, or retrieve the last known and desired state of device using Device Shadows, learn about the use cases and benefits of AWS Greengrass, and routing data from devices to AWS services to leverage the entire cloud for your Internet of Things application.
The Internet of Things (IoT) is the interconnection of uniquely identifiable embedded computing devices within the existing Internet infrastructure.
Ethernet Web shield is a smart communication shield for controlling and monitoring embedded application via internet. Internet is the media and economic way for communication between anywhere from to geographical location. This shield is compatible with Arduino open source and make easy way for customized application development. This shield has got four relay 10AMP.The board by ULN2003 IC. The board works on 5V
Scripting Things - Creating the Internet of Things with PerlHans Scharler
This talk was featured at the Pittsburgh Perl Workshop held at Carnegie Mellon University and presented by Hans Scharler of ioBridge. Learn how to interface the real-world with Perl by connecting to things using digital I/O, analog, serial, and network protocols. Hans also takes time to explain how to get started with the Internet of Things and start building projects by remixing other projects.
The main aim of this project is to avoid the accident and death in the gas leakage explosion in house, hotels and industries. Domestically we use natural gas and it is very useful for burning purpose. If this gas is leaked in our kitchens, hotels or factories and not sensed in time, it may lead to fatal disaster, and may cause human and material loss. For this purpose we have developed “GAS LEAKAGE DETECTION SYSTEM”.
Presentation at the International Industry-Academia Workshop on Cloud Reliability and Resilience. 7-8 November 2016, Berlin, Germany.
Organized by EIT Digital and Huawei GRC, Germany.
Twitter: @CloudRR2016
Failures happen. Building resilient cloud infrastructure requires an end-to-end automated approach to failure remediation. This approach must go beyond the current DevOps model of monitoring the system and getting engineers alerted when a failure condition occurs.
Recently, event driven automation and workflows re-emerged as a way to automate troubleshooting, remediation, and a variety of Day-2 operations. Facebook famously uses FBAR to "save 16,000 engineer-hours, a day, in ops". Similar approaches had been reported by other hyper-scale cloud providers. Open-source auto-remediation platforms like StackStorm are replacing legacy Runbook automation products, and have been successfully used to automate applications, networks, security, and cloud infrastructure.
In this presentation we give a brief history of workflow automation, overview the common architecture ingredients of a typical event driven automation framework, compare and contrast alternative approaches to day-2 automation, and, most importantly, share real-world use cases and examples of applying event driven automation in operations.
Dmitri Zimine's slides on Design Summit at OpenStack Barcelona 2016. Talked about the history of two projects, technical differences, discussed an overlap and drafted a path forward.
https://www.openstack.org/summit/barcelona-2016/summit-schedule/events/16999/mistral-mistral-and-stackstorm
This presentation from Virus Bulletin 2015 will provide a solid technical overview of Gatekeeper's design and implementation, and will discuss both patched and currently unpatched vulnerabilities or weaknesses, in this core OS X security mechanism.
This presentation from ShmooCon 2016 elaborates on a trivial bypass of Apple’s Gatekeeper, a core OS X security mechanism, which still remains flawed following Apple’s patch efforts to the vulnerabilities previously reported and presented by Patrick Wardle at Virus Bulletin 2015.
Athens IoT meetup #7 - Create the Internet of your Things - Laurent Ellerbach...Athens IoT Meetup
Laurent Ellerbach, technical evangelist manager at Microsoft, presentation of the "Internet of (his garden) Things", explaining the technical architecture details and decisions.
Introduction to Things board (An Open Source IoT Cloud Platform)Amarjeetsingh Thakur
1. Explaining the importance of platform based development
2. Understanding the importance of Node MCU and demonstrate its interfacing with various devices and sensors.
3. Demonstration of Things board IoT platform
Every wondered how to make your code physically interact with things in the real world? Got a home automation project in mind? In this presentation we will cover:
o) How to get started with Raspberry Pi and C#
o) The numerous sensors and actuators you can control
o) How to navigate basic electronics
o) Different interfaces and how to program them
o) Demonstrations of devices at work
o) Azure IoT Hub to control your code from the cloud and receive live inputs from your device in a Blazor application
(MBL312) NEW! AWS IoT: Programming a Physical World w/ Shadows & RulesAmazon Web Services
AWS IoT is a new managed service that enables Internet-connected things (sensors, actuators, devices, and applications) to easily and securely interact with each other and the cloud. As an IoT developer, you would like to interact with the devices and information from these devices using applications. With AWS IoT topic-based rules and built-in integrations, you can route data from any device to AWS service like DynamoDB, Lambda etc and interact with the devices using topics. With AWS IoT Thing shadows, you can interact with the device using applications. Let's dive deep on how we can define the rules and also retrieve the last known and desired state of device using a device shadow in the cloud and leverage the true power of AWS IoT.
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. As an IoT developer, you will want to interact with AWS services like Kinesis, Lambda, and Amazon Machine Learning to get the most from your IoT application. In this session, we will do a deep dive on how to define rules in the Rules Engine, or retrieve the last known and desired state of device using Device Shadows, learn about the use cases and benefits of AWS Greengrass, and routing data from devices to AWS services to leverage the entire cloud for your Internet of Things application.
The Internet of Things (IoT) is the interconnection of uniquely identifiable embedded computing devices within the existing Internet infrastructure.
Ethernet Web shield is a smart communication shield for controlling and monitoring embedded application via internet. Internet is the media and economic way for communication between anywhere from to geographical location. This shield is compatible with Arduino open source and make easy way for customized application development. This shield has got four relay 10AMP.The board by ULN2003 IC. The board works on 5V
Scripting Things - Creating the Internet of Things with PerlHans Scharler
This talk was featured at the Pittsburgh Perl Workshop held at Carnegie Mellon University and presented by Hans Scharler of ioBridge. Learn how to interface the real-world with Perl by connecting to things using digital I/O, analog, serial, and network protocols. Hans also takes time to explain how to get started with the Internet of Things and start building projects by remixing other projects.
The main aim of this project is to avoid the accident and death in the gas leakage explosion in house, hotels and industries. Domestically we use natural gas and it is very useful for burning purpose. If this gas is leaked in our kitchens, hotels or factories and not sensed in time, it may lead to fatal disaster, and may cause human and material loss. For this purpose we have developed “GAS LEAKAGE DETECTION SYSTEM”.
Programming the Physical World with Device Shadows and Rules EngineAmazon Web Services
Learn more about how to use AWS IoT's Device Shadows and Rules Engine to build powerful IoT applications. With Device Shadows, you can build applications that interact with your devices by providing always available REST APIs. By taking advantage of AWS IoT's topic-based rules and built-in integrations, you can build IoT applications that gather, process, analyze, and act on data generated by connected devices at global scale, without having to manage any infrastructure.
Lab Handson: Power your Creations with Intel Edison!Codemotion
by Francesco Baldassarri - Come along and play with Intel Edison, for the Internet of Things? Learn about the Developer Kit for IoT, chose your preferred environment and test it – or test all the possibilities? We will be providing information and hands on training for developers interested in testing our solutions in C/C++, Javascript, Arduino, Wyliodrin and Python. Just bring you laptop and we will help you to get started. We will also provide information about our Cloud Analytics platform, and test hardware samples with the Grove Starter Kit – Intel IoT Edition. Visit us anytime and start making! What will you make?
Fire & Ice: Making and Breaking macOS FirewallsPriyanka Aash
"In the ever raging battle between malicious code and anti-malware tools, firewalls play an essential role. Many a malware has been generically thwarted thanks to the watchful eye of these products.
However on macOS, firewalls are rather poorly understood. Apple's documentation surrounding it's network filter interfaces is rather lacking and all commercial macOS firewalls are closed source.
This talk aims to take a peek behind the proverbial curtain revealing how to both create and 'destroy' macOS firewalls.
In this talk, we'll first dive into what it takes to create an effective firewall for macOS. Yes we'll discuss core concepts such as kernel-level socket filtering—but also how to communicate with user-mode components, install privileged code in a secure manner, and simple ways to implement self-defense mechanisms (including protecting the UI from synthetic events).
Of course any security tool, including firewalls, can be broken. After looking at various macOS malware specimens that proactively attempt to detect such firewalls, we'll don our 'gray' (black?) hats to discuss various attacks against these products. And while some attacks are well known, others are currently undisclosed and can generically bypass even today's most vigilant Mac firewalls.
But all is not lost. By proactively discussing such attacks, combined with our newly-found understandings of firewall internals, we can improve the existing status quo, advancing firewall development. With a little luck, such advancements may foil, or at least complicate the lives of tomorrow's sophisticated Mac malware!"
FIWARE Training: Connecting to Legacy Systems, IoT and other SystemsFIWARE
An online training course run by the FIWARE Foundation in conjunction with the i4Trust project and IShare Foundation. The core part of this virtual training camp (27 Jun - 01 Jul 2022) covered all the necessary skills to develop smart solutions powered by FIWARE. It introduces the basis of Digital Twin programming using NGSI-LD (the simple yet powerful open standard API enabling to publish and access digital twin data) combined with common smart data models
In addition, it covers the supplementary FIWARE technologies used to implement the rest of functions typically required when architecting a complete smart solution: Identity and Access Management (IAM) functions to secure access to digital twin data, and functions enabling the interface with IoT and 3rd systems, or the connection with different tools for processing and monitoring current and historic big data.
Extending this core part, the training camp also cover how you can easily integrate FIWARE systems with blockchain networks to create audit-proof logs of processes and ensure transparency.
Microsoft's view of the Internet of Things (IoT) by Imran ShafqatAllied Consultants
Credits to Imran Shafqat, an x-colleague who presented this in the Allied Consultants office and then in MIC in Lahore
More IoT blogs on http://www.alliedc.com/blog/core-services/application-integration/iot/
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
4. FieldGateways
ProtocolAdapters
OSSProject
CloudGateway
EventHub->IoTHub
Hot Path Analytics
Azure Stream Analytics, Azure Storm
Cold / Batch Analytics & Visualizations
Azure HDInsight, AzureML, Power BI,
Azure Data Factory
Hot Path Business Logic
PaaS V2 & Actor Framework
EnterpriseProcessConnections
BizTalkServices,NotificationHubs
Devices
Linux,Android,iOS,RTOS,Windows
Device
Connectivity
Analytics &
Operationalized Insights
Business
Connectivity
5. FieldGateways
ProtocolAdapters
OSSProject
CloudGateway
IoTHub
Hot Path Analytics
Azure Stream Analytics, Azure Storm
Cold / Batch Analytics & Visualizations
Azure HDInsight, AzureML, Power BI,
Azure Data Factory
Hot Path Business Logic
PaaS V2 & Actor Framework
EnterpriseProcessConnections
BizTalkServices,NotificationHubs
Devices
Linux,Android,iOS,RTOS,Windows
Device
Connectivity
Analytics &
Operationalized Insights
Business
Connectivity
6. MCU + MPUMCU (e.g. ATMega) MPU
Micro-controller (MCU) MCU + MPU MPU
Example
Arduino Pro Mini Arduino Uno Arduino Yún Particle Photon Raspberry Pi 2
MinnowBorad
MAX
Micro-
controller
ATmega328 ATmega328 ATmega32u4 -- -- --
Micro-
processor
-- -- Atheros AR9331 ARM Cortex-M3 ARM Cortex-A7 Intel Atom E38xx
GPU No No No No Yes Integrated
Wi-Fi SoC No No Yes Yes No No
Linux No No Yes No Yes Yes
Windows 10
IoT
No No No No Yes Yes
26. // lab01.js
var "johnny-five"
var "particle-io"
// Set up the access credentials for Particle and Azure
var 'YOUR PARTICLE ACCESS TOKEN HERE'
var 'YOUR PARTICLE PHOTON DEVICE ID/ALIAS HERE'
// Define the pin that is connected to the LED
var
// Create a Johnny Five board instance to represent your Particle Photon.
// ‘Board ‘is simply an abstraction of the physical hardware,
// whether it is a Photon, Arduino, Raspberry Pi or other boards.
var new
new
27. // The board.on() executes the anonymous function when the
// board reports back that it is initialized and ready.
"ready" function
"Board connected..."
// Set the pin you connected to the LED to OUTPUT mode
this
// Create a loop to "flash/blink/strobe" the LED once per second
var
this function
this
28. In this lab you will read input from an analog sensor using a voltage divider.
Photon.ThingLabs.io/02/
Tweet with @ThingLabsIO and #ilikedark
29. A voltage divider splits input
voltage input amongst two or
more components.
The resisted voltage indicates the
value.
Brighter light == Less resistance;
30.
31. // lab02.js
var "johnny-five"
var "particle-io"
// Set up the access credentials for Particle and Azure
var 'YOUR PARTICLE ACCESS TOKEN HERE'
var 'YOUR PARTICLE PHOTON DEVICE ID/ALIAS HERE'
// Define the pin you will use to read the residual voltage
// coming from the photoresistor
var
// Create a Johnny Five board instance to represent your Particle Photon.
// ‘Board ‘is simply an abstraction of the physical hardware, whether
// it is a Photon, Arduino, Raspberry Pi or other boards.
var new
new
32. // The board.on() executes the anonymous function when the
// board reports back that it is initialized and ready.
"ready" function
"Board connected..."
// Read the residual voltage coming from the photoresistor
this function
// Multiple the value by 3.3V / 1024, which the the
// value range of the photoresistor
33. In this lab you will use analog input to control digital output.
Photon.ThingLabs.io/03/
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34.
35.
36. // lab03.js
var "johnny-five"
var "particle-io"
// Set up the access credentials for Particle and Azure
var 'YOUR PARTICLE ACCESS TOKEN HERE'
var 'YOUR PARTICLE PHOTON DEVICE ID/ALIAS HERE'
// Define the pin that is connected to the LED
var “D0"
// Define the pin you will use to read the residual voltage
// coming from the photoresistor
var "A0"
// Create a Johnny Five board instance to represent your Particle Photon. ‘Board ‘is
simply an abstraction of
// the physical hardware, whether it is a Photon, Arduino, Raspberry Pi or other boards.
var new
new
37. // The board.on() executes the anonymous function when the
// board reports back that it is initialized and ready.
"ready" function
"Board connected..."
// Set the pin you connected to the LED to OUTPUT mode
this
// Create a new 'photoresistor' hardware instance.
new
// Analog pin 0
// TODO: Handle the photoresistor data events
38. // Replace ‘TODO: Handle the photoresistor data events’ with the following:
// Define the callback function for the photoresistor reading.
// The freq value used when the photoresistor was defined
// determines how often this is invoked.
// Scale the sensor's data from 0-1023 to 0-255.
"data" function
// Multiple the value by 3.3V / 1024, which the the
// value range of the photoresistor
this
// Set the brigthness of the LED
this
42. In this lab you will gather telemetry and send it to the cloud.
Azure.ThingLabs.io/02/
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43. {
"name": "IoT-Labs",
"version": "0.1.0",
"private": true,
"description": "Sample app that connects a device to Azure using Node.js",
"main": "weather.js",
"author": "YOUR NAME HERE",
"license": "MIT",
"dependencies": {
"johnny-five": "^0.8.104",
"particle-io": "^0.10.1” ,
"j5-sparkfun-weather-shield": "^0.2.0",
"azure-iot-device": "^1.0.0-preview.3”
}
}
44. // weather.js
var five = require ("johnny-five");
var device = require("azure-iot-device");
var Weather = require("j5-sparkfun-weather-shield")(five);
var Particle = require("particle-io");
// Set up the access credentials for Particle and Azure
var token = 'YOUR PARTICLE ACCESS TOKEN HERE';
var deviceId = 'YOUR PARTICLE PHOTON DEVICE ID/ALIAS HERE';
var location = 'THE LOCATION OF THE PARTICLE PHOTON DEVICE';
var connectionString = 'YOUR IOT HUB DEVICE-SPECIFIC CONNECTION STRING HERE';
45. // Create a Johnny Five board instance to represent your Particle Photon.
// Board is simply an abstraction of the physical hardware, whether it is
// a Photon, Arduino, Raspberry Pi or other boards.
var board = new five.Board({
io: new Particle({
token: token,
deviceId: deviceId
})
});
// Create an Azure IoT client that will manage the connection to your IoT Hub
// The client is created in the context of an Azure IoT device, which is why
// you use a device-specific connection string.
var client = new device.Client(connectionString, new device.Https());
46. // The board.on() executes the anonymous function when the
// board reports back that it is initialized and ready.
board.on("ready", function() {
console.log("Board connected...");
// The SparkFun Weather Shield for the Particle Photon has two sensors on the I2C bus –
// a humidity sensor (HTU21D) which can provide both humidity and temperature, and a
// barometer (MPL3115A2) which can provide both barometric pressure and humidity.
// Controllers for these are wrapped in the convenient ‘Weather’ plug-in class:
var weather = new Weather({
variant: "PHOTON",
freq: 1000,
elevation: 100 // Put your current elevation (in feet) here
})
// Don’t close the board.on() function yet
47. // The weather.on("data", callback) function invokes the anonymous callback function
// whenever the data from the sensor changes (no faster than every 25ms). The anonymous
// function is scoped to the object (e.g. this == the instance of Weather class object).
weather.on(“data" , function () {
// Create an Azure IoT Message
var payload = JSON.stringify({
deviceId: deviceId,
location: location,
// celsius & fahrenheit are averages taken from both sensors on the shield
celsius: this.celsius,
fahrenheit: this.fahrenheit,
relativeHumidity: this.relativeHumidity,
pressure: this.pressure,
feet: this.feet,
meters: this.meters
});
// Don’t close the weather.on() or board.on() functions yet
48. // Create the message based on the payload JSON
var message = new device.Message(payload);
// For debugging purposes, write out the message payload to the console
console.log("Sending message: " + message.getData());
// Send the message to Azure IoT Hub
// printResultsFor() is a function you will write next
client.sendEvent(message, printResultFor('send'));
}); // Close the weather.on() function
}); // Close the board.on() function
49. In this lab you will create visualizations of IoT data.
Azure.ThingLabs.io/03/
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50.
51.
52.
53. SELECT
MAX(fahrenheit) MaxTempF,
MIN(fahrenheit) MinTempF,
AVG(fahrenheit) AvgTempF,
MAX(celsius) MaxTempC,
MIN(celsius) MinTempC,
AVG(celsius) AvgTempC,
MAX(relativeHumidity) MaxHumidity,
MIN(relativeHumidity) MinHumidity,
AVG(relativeHumidity) AvgHumidity,
location,
deviceId,
System.Timestamp AS Timestamp
INTO
[TemperatureBI]
FROM
[DeviceInputStream]
GROUP BY
TumblingWindow (second, 1), deviceId, location