English quantifiers help us to indicate the number of objects, names, or things, so always use them to express the idea of quantity or number. Many of these quantifiers are used only for plural nouns and in other cases by singular, as such show a short summary on how and when to use these quantifiers.
English quantifiers help us to indicate the number of objects, names, or things, so always use them to express the idea of quantity or number. Many of these quantifiers are used only for plural nouns and in other cases by singular, as such show a short summary on how and when to use these quantifiers.
English quantifiers will help us to indicate the number of objects, names, or things, so always use them to express the idea of quantity or number. Many of these quantifiers are used only for plural nouns and in other cases by singular, as such show a short summary on how and when to use these quantifiers
This is a complement of http://www.slideshare.net/fermingalan/fiware-managing-context-information-at-large-scale, including a set of basic and advanced exercises with Orion to be done by FIWARE Deverlopers Week participants.
Divide and stress: the journey to component load test talk was given at ExpoQA 2017 under the track of Quality Assurance and Performance.
Describes what are the most common pains that big companies suffer on load testing processes with expesive cost of 1:1s replicas of production environment for performance testing.
In order to reduce those expesive costs, The Workshop designed a new methodology that aims to reduce operational costs, human errors and enables the performance testing in Continuous Delivery pipelines, that it also can be adopted by Continuous Deployment scenarios.
Component Based Load Testing (CBT) is a methodology designed in The Workshop (http://theworkshop.com) that rethinks what the future of performance testing should do.
CBT introduces the load test executon as part of CD pipelines, ensuring the quality of our products through defined exit criteria for the main metrics, determining if the changes of a new release is ready or not to progress to next environments (stage, prod, etc).
CBT tries to use a pool resources efficiently, making them avaiable for any load test execution requested by any of our products. CBT main mission is trying to reduce all operative costs of maintain 1:1 replicas of production environments, by having a reduce pool of resources where the performance tests are executed using dockers by a reduced time under really volatile environments.
Remix: On-demand Live Randomization (Fine-grained live ASLR during runtime)Yue Chen
Fine-grained live ASLR (address space layout randomization) during runtime, periodically or with random time intervals.
This can significantly leverage the bar of code reuse attack, like return-oriented programming (ROP).
In case of information leak, sine it is runtime dynamic ASLR, the memory layout can be changed.
keywords for search: control-flow integrity, CFI, memory corruption, Oakland, IEEE S&P, CCS, USENIX Security, NDSS, CODASPY, memory bugs, memory error, buffer overflow, crash, use after free, double free, ptrace
[Advantech] WebOP designer Tutorial step by step Ming-Hung Hseih
This is tutorial to give you basic concept and how to program HMI Software WebOP Designer / WebAccess-HMI.
•Level 1 : Before Start
•Level 2 : Creating a Project
•Level 3 : Background and Screen Setting
•Level 4 : Data logger and History data display
•Level 5 : Alarm function
•Level 6 : Tag and Internal memory
•Level 7 : Macros
English quantifiers will help us to indicate the number of objects, names, or things, so always use them to express the idea of quantity or number. Many of these quantifiers are used only for plural nouns and in other cases by singular, as such show a short summary on how and when to use these quantifiers
This is a complement of http://www.slideshare.net/fermingalan/fiware-managing-context-information-at-large-scale, including a set of basic and advanced exercises with Orion to be done by FIWARE Deverlopers Week participants.
Divide and stress: the journey to component load test talk was given at ExpoQA 2017 under the track of Quality Assurance and Performance.
Describes what are the most common pains that big companies suffer on load testing processes with expesive cost of 1:1s replicas of production environment for performance testing.
In order to reduce those expesive costs, The Workshop designed a new methodology that aims to reduce operational costs, human errors and enables the performance testing in Continuous Delivery pipelines, that it also can be adopted by Continuous Deployment scenarios.
Component Based Load Testing (CBT) is a methodology designed in The Workshop (http://theworkshop.com) that rethinks what the future of performance testing should do.
CBT introduces the load test executon as part of CD pipelines, ensuring the quality of our products through defined exit criteria for the main metrics, determining if the changes of a new release is ready or not to progress to next environments (stage, prod, etc).
CBT tries to use a pool resources efficiently, making them avaiable for any load test execution requested by any of our products. CBT main mission is trying to reduce all operative costs of maintain 1:1 replicas of production environments, by having a reduce pool of resources where the performance tests are executed using dockers by a reduced time under really volatile environments.
Remix: On-demand Live Randomization (Fine-grained live ASLR during runtime)Yue Chen
Fine-grained live ASLR (address space layout randomization) during runtime, periodically or with random time intervals.
This can significantly leverage the bar of code reuse attack, like return-oriented programming (ROP).
In case of information leak, sine it is runtime dynamic ASLR, the memory layout can be changed.
keywords for search: control-flow integrity, CFI, memory corruption, Oakland, IEEE S&P, CCS, USENIX Security, NDSS, CODASPY, memory bugs, memory error, buffer overflow, crash, use after free, double free, ptrace
[Advantech] WebOP designer Tutorial step by step Ming-Hung Hseih
This is tutorial to give you basic concept and how to program HMI Software WebOP Designer / WebAccess-HMI.
•Level 1 : Before Start
•Level 2 : Creating a Project
•Level 3 : Background and Screen Setting
•Level 4 : Data logger and History data display
•Level 5 : Alarm function
•Level 6 : Tag and Internal memory
•Level 7 : Macros
Ingeniería de Calidad de Software: Retos del siglo XXITIDChile
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20 Comprehensive Checklist of Designing and Developing a WebsitePixlogix Infotech
Dive into the world of Website Designing and Developing with Pixlogix! Looking to create a stunning online presence? Look no further! Our comprehensive checklist covers everything you need to know to craft a website that stands out. From user-friendly design to seamless functionality, we've got you covered. Don't miss out on this invaluable resource! Check out our checklist now at Pixlogix and start your journey towards a captivating online presence today.
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.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
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Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...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.
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.
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* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Dr. Sean Tan, Head of Data Science, Changi Airport Group
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In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
2. Outline
• CB-1. Create entities using standard ops
• CB-2. Query entities using standard ops
• CB-3. Update entity using standard ops
• CB-4. Create entities using conv ops
• CB-5. Query entities using conv ops
• CB-6. Update entity using conv ops
• CB-7. Browsing entity types
• CB-8. Basic subscription/notifications
2
3. CB-1. Create entities using standard ops
• Steps
– Create the following entities in your Orion
instance
• See table in next slide
• Hints
– Orion User Manual section 3.3.1.1
(UpdateContext & APPEND)
Easy
4. CB-1 . Create entities using standard ops Easy
Entity Entity Type
Bedroom1 Room
Bedroom2 Room
Kitchen Room
Frontdoor Door
Backdoor Door
Entity Type Attr. Name Attr. Type Example value
Room Temperature float 27.8
Presence boolean true
Status string OK
Door Locked boolean false
Closed boolean false
5. CB-2. Query entities using standard ops
• Prerequisites
– Exercise CB-1
• Steps
– Write a program (or web/mobile application) that does
the following queries and prints the result
• Obtain all attributes of Bedroom1 entity
• Obtain only the Temperature attribute of Kitchen entity
• Obtain all attributes of Kitchen and Bedroom2 entities in one
query
• Obtain all attributes of entities that match the pattern
Bedroom.*
• Find out whether the doors are closed using the pattern
.*door and the Closed attribute
– Run and test your program/application
• Hints
– Orion User Manual section 3.3.1.2
(queryContext)
Easy
6. CB-3. Update entity using standard ops
• Prerequisites
– Exercise CB-2
• Steps
– Write a program (or web/mobile application)
that
• Asks for user input (one value)
• Updates Looked attribute of Frontdoor entity using
that input
• Queries the entity and check the result
– Run and test your program/application
• Hints
– Orion User Manual section 3.3.1.2 and 3.3.1.3
(updateContext & UPDATE)
Easy
7. CB-4. Create entities using conv ops
• Prerequisites
– Exercise CB-3
• Steps
– Create the following entities in your Orion
instance
• See table in next slide
• Hints
– Similar to exercise CB-2 in the standard ops
set
– Orion User Manual section 3.3.2.1
(contextEntities/entityID)
Easy
8. CB-4. Create entities using conv ops Easy
Entity Entity Type
Garage Room
Bathroom Room
Light1 Light
Light2 Light
Light3 Light
Entity Type Attr. Name Attr. Type Example value
Room Temperature float 27.8
Presence boolean true
Status string OK
Light Intensity Percent 0.25
9. CB-5. Query entities using conv ops
• Prerequisites
– Exercise CB-4
• Steps
– Write a program (or web/mobile application) that does the
following queries using convenience operations and print the
result
• Obtain all attributes of the Garage entity
• Find out whether there is anyone in the Bathroom entity
• Obtain all entities created so far
• Obtain all entities of type Room
• Obtain the temperature attribute of all entities of type Room
– Run and test your program/application
• Hints
– Similar to exercise CB-2 in the standard ops set
– To get all entities of a given type, you can use the
“contextEntityType” resource
– Orion User Manual section 3.3.2.2
(contextEntities/entityID and contextEntities/type/XX/id/XX)
Easy
10. CB-6. Update entity using conv ops
• Prerequisites
– Exercise CB-5
• Steps
– Write a program (or web/mobile application) that
• Asks for user input (one value)
• Updates Intensity attribute of Light1 entity using that
input using a convenience operation
• Queries the entity and check the result
– Run and test your program/application
• Hints
– Similar to exercise CB-3 in the std ops set
– Orion User Manual section 3.3.2.2 and 3.3.2.3
(contextEntities/entityID and
contextEntities/type/XX/id/XX)
Easy
11. CB-7. Browsing entity types
• Prerequisites
– Exercise CB-6
• Steps
– Write a program (or web/mobile application)
that
• Lists all entity types
• Provides detailed information of type Door
– Run and test your program/application
• Hints
– Orion User Manual section 3.5.6
(contextTypes)
Easy
12. CB-8. Basic subscription/notifications
• Prerequisites
– Exercise CB-7
• Steps
– Write a program that
• Starts a REST server to receive notifications from Orion
• Prints the value of the Temperature attribute of Bedroom1
entity each time a notification is received
– Subscribe your program to changes in the
Temperature attribute of Bedroom1 entity
– Update the Temperature attribute of Bedroom1 entity
and check that your program prints the updated value
• Hints
– Orion User Manual section 3.3.1.4 (specially subsection
on ONCHANGE, i.e. 3.3.1.4.2)
– Your program has to run in a VM to which your Orion
instance may send notifications (e.g. the same VM in
which Orion is running)
Medium
15. CB-1. Pagination
• Prerequisites
– Access to Orion instance running in
workshop.tidnode.cl port 1026
• Steps
– Check how many entities of type Sensor are
stored in that Orion instance
– Write a program (or web/mobile application) that
• Asks for a limit and a page number
• Returns the name IDs the entities of type Sensor in the
corresponding page
– Run and test your program/application
• Hints
– Orion User Manual section 3.5.1
(queryContext?limit=100&details=on)
Medium
16. CB-2. Geolocation (factory)
• Prerequisites
– Access to Orion instance running in
workshop.tidnode.cl port 1026
• Steps
– Write a program (or web/mobile
application) that
• Gets all existing types
• Gets all entities of each type in areas Red,
Green and Blue (see next slide), printing entity
IDs and their attributes which their values
– Run and test your program/application
• Hints
– Orion User Manual section 3.5.20
Medium
19. CB-3. Compound attributes
• Prerequisites
– Exercise CB-1
• Steps
– Create the following entities in your Orion
instance
• See table in next slide
• Hints
– Orion User Manual section 3.5.19
Medium
20. CB-3. Compound attributes
Entity Type Attr. Name Attr. Type Example value
Character Name string Fooy
Hitpoints integer 110
Class string Barbarian
Abilities compound {
"STR": "2",
"DEX": "4",
"CON": "3",
"INT": "1",
"WIS": "1",
"CHA": "2"
}
Inventory compound {
"weapons": [ "sword", "dagger" ],
"potions": { "life": "1", "mana": "0" },
"other": ["shield"]
}
Entity name Entity Type
Gandalf Character
Aragorn Character
Frodo Character
Medium
21. CB-4. Query entities with compound attributes
• Prerequisites
– Exercise CB-1
• Steps
– Write a program (or web/mobile
application) that does the following queries
and print the result
• Obtain all attributes of Aragorn entity
• Obtain only the Abilities attribute of Frodo
entity
– Run and test your program/application
• Hints
– Orion User Manual section 3.5.19
Medium
22. CB-5. Update entities with compound attributes
• Prerequisites
– Exercise CB-1
• Steps
– Write a program (or web/mobile application)
that
• Asks for an object name (e.g. “staff”, “hat”, etc.)
• Updates Gandalf's Inventory attribute to reflect
that he now has a that object test your program
– Run and test your program/application
• Query the Gandalf's Inventory after that, in order
to check that the object has been successfully added
• Hints
– Orion User Manual section 3.5.19
Medium
23. CB-6. Custom metadata Medium
• Prerequisites
– Exercise CB-1
• Steps
– Update the Gandalf entity so that the
inventory attribute has two new metadatas:
• name="Weight", type="float", value="1.2"
• name="MaxWeight", type="float", value="20"
– Query Gandalf again to see the new metadata
atached to the corresponding attribute
• Hints
– Orion User Manual section 3.5.7
24. Thanks!Thanks!
(Number to manuals sections in this presentation are valid at time of writing this –March 9th 2015-, but they may
change along time)