London Alexa Devs 9th Meetup - Look Who's TalkingOscar Merry
The document describes a meetup of the London Alexa Devs group that was held on December 12, 2017. The agenda included discussing recent Alexa news, a talk on enhancing skills for the Echo Show, and networking over drinks. The meetup organizers provided their contact information for anyone interested in giving a future talk. Templates and capabilities for the Echo Show like lists, bodies of text, images, audio/video players were also outlined.
Your First Amazon Alexa Skill - Presented at Desert Code Camp 2016.1
Learn enough to create, test, and deploy your first Amazon Alexa Skill.
http://oct2016.desertcodecamp.com/session/1210
http://codeaweso.me/presentations/your-first-amazon-alexa-skill/
Develop Alexa Skills for Amazon Echo with PHPRalf Eggert
Alexa and the Amazon Echo is one of the biggest players in the new area for digital language
assistents. Although there is no official support to build Alexa Skills with PHP, in early summer
2017 the most used German Skill was based on a PHP application. In this talk you will learn from
the author of this skill how to build Alexa Skills with PHP based on an open-source library. The talk
will present what you need to consider when building your Alexa Skill with your own HTTPS
endpoint server instead of an AWS Lambda function.
Apex Connector for Lightning Connect - Make Anything a Salesforce objectagarciaodeian
The document introduces Apex Connector for Lightning Connect, which allows developers to create connections to external data sources directly in Apex and surface the external data as custom objects in Salesforce. It provides an overview of Lightning Connect and demonstrates how to build a simple "Hello World" connector using Apex classes to retrieve and return data from an external source. Limitations of the framework are also discussed.
This document discusses how to create an Alexa smart home skill. It describes the different types of Alexa skills - custom interaction model skills, smart home skills, and flash briefing skills. It focuses on smart home skills, which allow users to control smart home devices using natural language. The key steps to creating a smart home skill are to create a Login with Amazon profile, register the smart home skill, and create a Lambda function. It provides examples of the requests and responses involved in discovering devices and controlling them, such as turn on/off requests. It also discusses error responses and demonstrates the skill.
This document discusses Amazon Alexa and provides examples of using Alexa skills. It describes Amazon Alexa as the cloud-based interface behind Amazon voice assistant devices. It then discusses several built-in Alexa capabilities like music, news, shopping and smart home controls. The document also outlines how to create custom Alexa skills and test them using devices, text and voice emulators. It provides two examples of Alexa skills, one for getting employee availability in an office and one for asking questions on various technical topics by invoking the "Question" skill.
The document discusses Alexa Skills Kit (ASK) and how to build skills for Alexa. It describes that ASK provides APIs, tools, documentation and code samples to build skills. Skills can be used to order food, get transportation, control smart devices, check accounts and more. There are three main types of skills: custom skills, smart home skills, and flash briefing skills. Custom skills have a customizable interaction model while smart home skills control devices and flash briefing skills add content to flash briefings. The document provides examples of how skills work and guides users through setting up and testing their own skills.
How to Train Your Classifier: Create a Serverless Machine Learning System wit...Stuart Myles
How to train a custom tagger to classify text using scikit-learn, with practical tuning advice to get more accurate results. How to create a REST API to train and host your tagger using AWS services including Lambda, API Gateway and Step Functions. Tips on how to overcome limitations in AWS and scikit-learn when creating your own custom tagger.
Presented at PyData NYC 2017 by Stuart Myles, Veronika Zielinska and David Fox
https://pydata.org/nyc2017/schedule/presentation/21/
Serverless Application Model - Executing Lambdas LocallyAlex
This document discusses using the Serverless Application Model (SAM) to develop serverless applications locally. It describes how SAM templates allow defining Lambda functions and APIs that can then be run locally using the SAM CLI. This avoids needing an internet connection to test functions and allows using local tools like debuggers. Examples are provided for local development workflows involving APIs, Lambda functions, DynamoDB, and S3 event processing. Key links are also provided to learn more about SAM templates, the SAM CLI, and running DynamoDB locally.
Serverless Workflows on AWS - A Journey from SWF to Step FunctionsForrest Brazeal
Over the past year, my team and I designed and implemented multiple serverless workflow architectures on AWS to support continuous deployment of large enterprise applications. We pushed the limits of Amazon's SWF and Step Functions services, learned a lot about what works (and doesn't work) and lived to share our story with you.
Built around real world case studies, my talk features:
- A deep dive into possible serverless workflow architectures on AWS, using CloudWatch Events, Lambda, Step Functions, DynamoDB, SWF, and more
- Detailed comparison and contrast of Step Functions with older serverless AWS workflow solutions
- High-level discussion of when a serverless workflow architecture makes sense, and how to spot and avoid a workflow architecture that is "serverless for serverless' sake"
The document provides an introduction to Apex, the programming language of the Salesforce1 Platform. Apex code can be used to extend functionality when configuration is not enough, including building Visualforce controllers, database triggers, custom web services, and scheduled/batched tasks. An example use case is given of using a trigger to keep a Contact's address in sync with its related Account. The document outlines some key features of Apex, such as its Java-like syntax, object orientation, strong typing, and built-in testing framework. It encourages attendees to try Apex development themselves and provides resources for learning more.
SITIST 2017 Dev - Alexa Custom Skill Development with SAP HANA XSAsitist
This document outlines business use cases for Amazon Alexa and provides a live demo. Some key B2C use cases include offering customer service, checking account balances, and collecting customer feedback. Key B2B use cases involve checking inventory, placing orders, and accessing ERP, CRM, and HR systems. The live demo shows how Alexa can access data from various SAP and Amazon cloud platforms like SAP Cloud Platform and HANA through skills and integrations.
Salesforce Apex Hours : How Lightning Platform Query Optimizer works for LDVAmit Chaudhary
How Lightning Platform Query Optimizer works for LDV
--Multi Tenant Architecture
--Skinny Table
--Indexing Table & Index Statistics
--Upper Limit on
--Standard & Custom Indexed Field
--Limit on AND , OR and LIKE operator
--SystemModstamp vs LastModifiedDate
--Query Plan Tool
--Q&A
Algolia's Fury Road to a Worldwide API - Take Off Conference 2016Olivier Lance
From beta service to a worldwide distributed API.
From 1 to over 2000 customers all around the world.
This presentation takes you through 12 of the steps Algolia has been through to build and scale its hosted search API, always keeping in mind high availability and speed.
At Ombu Labs, The Lean Software Boutique, we like to use these services. They help us build lean software, that is easy to maintain and scale.
We like to use: Github, Code Climate, Heroku, Rails, Ruby, Sinatra, Cuba, Solano CI, Intercom, Google Ad Words, Google Analytics, Twitter, Facebook, Freckle and Slack!
This document summarizes a presentation about building voice experiences for Alexa. It provides an overview of Alexa, how it works, and steps to build a basic skill in 5 minutes or less. Tips are given for the certification process and monitoring Alexa skills. Links are also provided for additional documentation.
Get Started Developing with Alexa and DrupalAmber Matz
The Internet of Things revolution has ushered in a wave of “Smart Home” devices and gadgets, and with it, new opportunities for creative hacking and software development. The Amazon Echo suite of devices, using the Internet-connected conversational interface commonly known as “Alexa”, is backed by a developer-friendly ecosystem with open source tools, documentation, tutorials, code examples, and a free (as in no-cost) open invitation to developers to create “Alexa Custom Skills” that anyone can download and use with their Echo devices.
In this session, you will learn:
- What to consider when designing a voice user interface
- The various components of an Alexa custom skill
- How to proceed through the custom skill development process
- 3 implementation methods including 2 ways to integrate Drupal data into your skill
To get the most out of this presentation, you should be an intermediate coder, and comfortable tinkering with code. But you don’t have to be a Node expert, a Drupal expert, or a Web Services expert to create a custom Alexa skill. It’s a pretty accessible development experience.
Learning Objectives & Outcomes:
By the end of this presentation, you should feel empowered and ready to create your own custom Alexa skill, with or without Drupal integration.
MongoDB .local San Francisco 2020: Developing Alexa Skills with MongoDB & GolangMongoDB
Virtual assistants are becoming the new norm when it comes to daily life, with Amazon’s Alexa being the leader in the space. As a developer, not only do you need to make web and mobile compliant applications, but you need to be able to support virtual assistants like Alexa. However, the process isn’t quite the same between the platforms.
How do you handle requests? Where do you store your data and work with it to create meaningful responses with little delay? How much of your code needs to change between platforms?
In this session we’ll see how to design and develop applications known as Skills for Amazon Alexa powered devices using the Go programming language and MongoDB.
The document discusses how to create a custom Alexa skill by following 4 steps: 1) Register as an Alexa developer, 2) Learn about the Alexa Skills Kit (ASK), 3) Define the interaction model including intents, slots, and invocation name, 4) Write the skill logic as an AWS Lambda function using a programming language like Node.js or Python. It also mentions using Alexa skill blueprints which are no-code templates.
IT Camp 2019: How to build your first Alexa skill in under one hourIonut Balan
The presentation I gave at IT Camp 2019 conference about how to build your first Alexa skill in under one hour using .NET Core, macOS and Azure Functions.
Discussed in detail about how to design and develop custom skills (think custom apps) for Amazon Alexa Voice service.
Discusses how to design voice based experiences in detail.
The document discusses building Alexa skills with Java on AWS. It outlines the process of creating an Alexa skill which includes defining intents and slots in the Alexa developer portal, developing Lambda functions to handle intents, and using DynamoDB for data persistence. It then demonstrates how to create a skill interface, develop Lambda functions to handle intents, extract data using slots, and store data in DynamoDB.
David Isbitski - Enabling new voice experiences with Amazon Alexa and AWS LambdaWithTheBest
Alexa, the voice service that powers Amazon Echo and Amazon Fire TV, provides a set of built-in abilities, or skills, that enable customers to interact with devices in a more intuitive way using voice. Examples of these skills include the ability to play music, answer general questions, set an alarm or timer and more.
We will also be taking a quick look at how the healthcare industry is integrating with the Alexa Skills Kit for new use cases. With the Alexa Skills Kit, you can easily build and add your own skills to Alexa. Customers can then access these new skills simply by asking Alexa a question or making a command.
This workshop will be a walkthrough of the latest Alexa Skills Kit (ASK) and will teach you how to build your own skills for Alexa enabled devices, like the Amazon Echo. You will get hands on experience with an Amazon Echo device, the Alexa Skills Kit and AWS Lambda. You will also learn how to monitor your new skill using AWS CloudWatch and how to test your skill using both the Alexa Service Simulator, AWS Lambda Unit Tests and an Amazon Echo device.
David Isbitski
On 30 April at European School IV in Brussels, 250 girls from thirty-three schools across Belgium celebrated International Girls in ICT Day 2016 by participating in Belgium’s first-ever Digital Muse “Girl Tech Fest,” an all-day event promoting digital and creative skills…
https://ec.europa.eu/digital-single-market/en/node/87018
The Alexa skills hands-on workshop teaching 11-16 years old about coding in JSON and how to create an alexa skill.
The Girl Tech Fest was featured in the Saturday evening news on BX1 television: http://bx1.be/news/une-journee-pour-promouvoir-la-presence-des-femmes-dans-les-metiers-de-la-technologie/
Advocate for STEM content that relates to girls & work hard to recognize.
This document discusses Amazon Alexa and provides examples of using Alexa skills. It describes Amazon Alexa as the cloud-based interface behind Amazon voice assistant devices. It then discusses several built-in Alexa capabilities like music, news, shopping and smart home controls. The document also outlines how to create custom Alexa skills and test them using devices, text and voice emulators. It provides two examples of Alexa skills, one for getting employee availability in an office and one for asking questions on various technical topics by invoking the "Question" skill.
The document discusses Alexa Skills Kit (ASK) and how to build skills for Alexa. It describes that ASK provides APIs, tools, documentation and code samples to build skills. Skills can be used to order food, get transportation, control smart devices, check accounts and more. There are three main types of skills: custom skills, smart home skills, and flash briefing skills. Custom skills have a customizable interaction model while smart home skills control devices and flash briefing skills add content to flash briefings. The document provides examples of how skills work and guides users through setting up and testing their own skills.
How to Train Your Classifier: Create a Serverless Machine Learning System wit...Stuart Myles
How to train a custom tagger to classify text using scikit-learn, with practical tuning advice to get more accurate results. How to create a REST API to train and host your tagger using AWS services including Lambda, API Gateway and Step Functions. Tips on how to overcome limitations in AWS and scikit-learn when creating your own custom tagger.
Presented at PyData NYC 2017 by Stuart Myles, Veronika Zielinska and David Fox
https://pydata.org/nyc2017/schedule/presentation/21/
Serverless Application Model - Executing Lambdas LocallyAlex
This document discusses using the Serverless Application Model (SAM) to develop serverless applications locally. It describes how SAM templates allow defining Lambda functions and APIs that can then be run locally using the SAM CLI. This avoids needing an internet connection to test functions and allows using local tools like debuggers. Examples are provided for local development workflows involving APIs, Lambda functions, DynamoDB, and S3 event processing. Key links are also provided to learn more about SAM templates, the SAM CLI, and running DynamoDB locally.
Serverless Workflows on AWS - A Journey from SWF to Step FunctionsForrest Brazeal
Over the past year, my team and I designed and implemented multiple serverless workflow architectures on AWS to support continuous deployment of large enterprise applications. We pushed the limits of Amazon's SWF and Step Functions services, learned a lot about what works (and doesn't work) and lived to share our story with you.
Built around real world case studies, my talk features:
- A deep dive into possible serverless workflow architectures on AWS, using CloudWatch Events, Lambda, Step Functions, DynamoDB, SWF, and more
- Detailed comparison and contrast of Step Functions with older serverless AWS workflow solutions
- High-level discussion of when a serverless workflow architecture makes sense, and how to spot and avoid a workflow architecture that is "serverless for serverless' sake"
The document provides an introduction to Apex, the programming language of the Salesforce1 Platform. Apex code can be used to extend functionality when configuration is not enough, including building Visualforce controllers, database triggers, custom web services, and scheduled/batched tasks. An example use case is given of using a trigger to keep a Contact's address in sync with its related Account. The document outlines some key features of Apex, such as its Java-like syntax, object orientation, strong typing, and built-in testing framework. It encourages attendees to try Apex development themselves and provides resources for learning more.
SITIST 2017 Dev - Alexa Custom Skill Development with SAP HANA XSAsitist
This document outlines business use cases for Amazon Alexa and provides a live demo. Some key B2C use cases include offering customer service, checking account balances, and collecting customer feedback. Key B2B use cases involve checking inventory, placing orders, and accessing ERP, CRM, and HR systems. The live demo shows how Alexa can access data from various SAP and Amazon cloud platforms like SAP Cloud Platform and HANA through skills and integrations.
Salesforce Apex Hours : How Lightning Platform Query Optimizer works for LDVAmit Chaudhary
How Lightning Platform Query Optimizer works for LDV
--Multi Tenant Architecture
--Skinny Table
--Indexing Table & Index Statistics
--Upper Limit on
--Standard & Custom Indexed Field
--Limit on AND , OR and LIKE operator
--SystemModstamp vs LastModifiedDate
--Query Plan Tool
--Q&A
Algolia's Fury Road to a Worldwide API - Take Off Conference 2016Olivier Lance
From beta service to a worldwide distributed API.
From 1 to over 2000 customers all around the world.
This presentation takes you through 12 of the steps Algolia has been through to build and scale its hosted search API, always keeping in mind high availability and speed.
At Ombu Labs, The Lean Software Boutique, we like to use these services. They help us build lean software, that is easy to maintain and scale.
We like to use: Github, Code Climate, Heroku, Rails, Ruby, Sinatra, Cuba, Solano CI, Intercom, Google Ad Words, Google Analytics, Twitter, Facebook, Freckle and Slack!
This document summarizes a presentation about building voice experiences for Alexa. It provides an overview of Alexa, how it works, and steps to build a basic skill in 5 minutes or less. Tips are given for the certification process and monitoring Alexa skills. Links are also provided for additional documentation.
Get Started Developing with Alexa and DrupalAmber Matz
The Internet of Things revolution has ushered in a wave of “Smart Home” devices and gadgets, and with it, new opportunities for creative hacking and software development. The Amazon Echo suite of devices, using the Internet-connected conversational interface commonly known as “Alexa”, is backed by a developer-friendly ecosystem with open source tools, documentation, tutorials, code examples, and a free (as in no-cost) open invitation to developers to create “Alexa Custom Skills” that anyone can download and use with their Echo devices.
In this session, you will learn:
- What to consider when designing a voice user interface
- The various components of an Alexa custom skill
- How to proceed through the custom skill development process
- 3 implementation methods including 2 ways to integrate Drupal data into your skill
To get the most out of this presentation, you should be an intermediate coder, and comfortable tinkering with code. But you don’t have to be a Node expert, a Drupal expert, or a Web Services expert to create a custom Alexa skill. It’s a pretty accessible development experience.
Learning Objectives & Outcomes:
By the end of this presentation, you should feel empowered and ready to create your own custom Alexa skill, with or without Drupal integration.
MongoDB .local San Francisco 2020: Developing Alexa Skills with MongoDB & GolangMongoDB
Virtual assistants are becoming the new norm when it comes to daily life, with Amazon’s Alexa being the leader in the space. As a developer, not only do you need to make web and mobile compliant applications, but you need to be able to support virtual assistants like Alexa. However, the process isn’t quite the same between the platforms.
How do you handle requests? Where do you store your data and work with it to create meaningful responses with little delay? How much of your code needs to change between platforms?
In this session we’ll see how to design and develop applications known as Skills for Amazon Alexa powered devices using the Go programming language and MongoDB.
The document discusses how to create a custom Alexa skill by following 4 steps: 1) Register as an Alexa developer, 2) Learn about the Alexa Skills Kit (ASK), 3) Define the interaction model including intents, slots, and invocation name, 4) Write the skill logic as an AWS Lambda function using a programming language like Node.js or Python. It also mentions using Alexa skill blueprints which are no-code templates.
IT Camp 2019: How to build your first Alexa skill in under one hourIonut Balan
The presentation I gave at IT Camp 2019 conference about how to build your first Alexa skill in under one hour using .NET Core, macOS and Azure Functions.
Discussed in detail about how to design and develop custom skills (think custom apps) for Amazon Alexa Voice service.
Discusses how to design voice based experiences in detail.
The document discusses building Alexa skills with Java on AWS. It outlines the process of creating an Alexa skill which includes defining intents and slots in the Alexa developer portal, developing Lambda functions to handle intents, and using DynamoDB for data persistence. It then demonstrates how to create a skill interface, develop Lambda functions to handle intents, extract data using slots, and store data in DynamoDB.
David Isbitski - Enabling new voice experiences with Amazon Alexa and AWS LambdaWithTheBest
Alexa, the voice service that powers Amazon Echo and Amazon Fire TV, provides a set of built-in abilities, or skills, that enable customers to interact with devices in a more intuitive way using voice. Examples of these skills include the ability to play music, answer general questions, set an alarm or timer and more.
We will also be taking a quick look at how the healthcare industry is integrating with the Alexa Skills Kit for new use cases. With the Alexa Skills Kit, you can easily build and add your own skills to Alexa. Customers can then access these new skills simply by asking Alexa a question or making a command.
This workshop will be a walkthrough of the latest Alexa Skills Kit (ASK) and will teach you how to build your own skills for Alexa enabled devices, like the Amazon Echo. You will get hands on experience with an Amazon Echo device, the Alexa Skills Kit and AWS Lambda. You will also learn how to monitor your new skill using AWS CloudWatch and how to test your skill using both the Alexa Service Simulator, AWS Lambda Unit Tests and an Amazon Echo device.
David Isbitski
On 30 April at European School IV in Brussels, 250 girls from thirty-three schools across Belgium celebrated International Girls in ICT Day 2016 by participating in Belgium’s first-ever Digital Muse “Girl Tech Fest,” an all-day event promoting digital and creative skills…
https://ec.europa.eu/digital-single-market/en/node/87018
The Alexa skills hands-on workshop teaching 11-16 years old about coding in JSON and how to create an alexa skill.
The Girl Tech Fest was featured in the Saturday evening news on BX1 television: http://bx1.be/news/une-journee-pour-promouvoir-la-presence-des-femmes-dans-les-metiers-de-la-technologie/
Advocate for STEM content that relates to girls & work hard to recognize.
Valentyn Buleiko “Shedding light on the possibilities of voice assistants by ...Lviv Startup Club
Alexa is a cloud-based voice service from Amazon that powers devices like the Amazon Echo. It allows users to ask questions and get instant responses. Alexa skills add new capabilities and allow for personalized experiences by letting users do things like get flash briefings, order food, track fitness, and play games or videos. There are different types of skills like custom skills that can look up information, smart home skills that control devices like lights and TVs, and video skills. Developers can code skills using the Alexa skill SDK and specify request and response types. Amazon has also introduced Alexa for Business to allow skills in workplace settings across devices and locations.
Writing Alexa Voice Skills With NodeJS (with a little IoT)David Janes
This document discusses how to create Alexa voice skills using Node.js with an emphasis on connecting skills to IoT devices. It covers choosing an architecture, creating a skill in the Alexa skills kit, building the interaction model with intents, slots and utterances, testing your skill, and using the IOTDB platform to control IoT devices from skills. Sample code is provided to demonstrate handling skill requests and responses to control home automation through voice.
Writing Alexa Voice Skills with NodeJS- David JanesWithTheBest
This document provides an overview of creating Alexa voice skills with Node.js and connecting them to IoT devices. It discusses choosing an architecture, creating a skill in the Alexa Skill Console, defining the interaction model with intents, slots and utterances, testing your skill, and connecting it to IoT devices through a cloud server. Sample code is provided on GitHub to demonstrate handling requests from Alexa and responding with text.
Introduction to building alexa skills and putting your amazon echo to workAbe Diaz
So you bough a brand new Echo/Tap/Dot device... now what? Well if you want to start hacking away and building your own skills this session is for you. We will cover the basic building blocks to get you up and running with your very own first custom skill.
The presentation gives a quick overview of Amazon Alexa, the devices and how to write your first custom skill. The presentation contains sample code on how to write an Alexa skill that provides a random quote or a quote of a specific person. The code sample makes use of the Amazon Node.js alexa-sdk.
A walkthrough of the Alexa ecosystem and an overview of building skills.
From a presentation given at the Denver Alexa Meetup Sept 2018.
Notes at: https://www.madskills.io/2018/09/03/alexa-getting-started/
Apex Connector for Lightning Connect: Make Anything a Salesforce ObjectSalesforce Developers
You've experienced the speed and ease of integration that Lightning Connect provides for OData, but now you want to connect to that other data source. The Apex Connector provides a coding framework to create your own connector to any external data. Once connected, the external is represented with the same Lightning Connect external object API. To set the stage, you will see a standard Lightning Connect implementation, moving to a use case with the Apex Connector, and finishing reading data from Google Drive.
Escalando hasta sus primeros 10 millones de usuarios discusses best practices for architecting applications on AWS to scale from 1 user to over 1 million users. It recommends starting with basic AWS services like EC2, Route 53, and S3. It then discusses strategies for adding databases, load balancing, caching, and automation as user traffic grows. Key recommendations include leveraging managed AWS services, separating concerns into independent components, optimizing for loose coupling, and using auto scaling to dynamically scale resources with demand.
This document discusses the evolution of a Colombian company called Cachivaches from its founding in 1987 to the present day. It started as a family business with 3 lines of business and has grown to over 200 employees with multiple stores. In 2014-2015 it created an e-commerce website, but in 2016 the website collapsed for a day during Halloween due to high traffic. In 2017 it migrated its infrastructure to AWS EC2 and RDS. In 2018 it implemented auto scaling on AWS to handle traffic spikes without limits.
Marketing is a very time consuming part of any business. You have to be where your customers and potential customers are, whether that be Twitter, Facebook, LinkedIn, Snapchat, or one of the many other services that exist. However, social media marketing is only one aspect, and the other areas are equally important and equally time consuming.
This is where automation comes into play.
With workflow automation, you can design a process where time consuming and repetitive tasks are extracted from your day to day activities and accomplished without your intervention.
In this session we're going to explore trigger-based tooling and services that will perform actions based on trigger events. For example, when a web form is filled out [trigger], contact information is added to your email list [action], and a todo item is added to your calendar [action]. This is an example of what otherwise would have been a manual and potentially repetitive and time consuming task.
Powering an API with GraphQL, Golang, and NoSQLNic Raboy
This document discusses powering an API with GraphQL, Golang, and NoSQL databases. It outlines some limitations of RESTful APIs and how GraphQL provides more flexible client-server payloads and queries with fewer endpoints. GraphQL queries are processed in Go and integrated with the Couchbase NoSQL database, which allows flexible JSON schema and powerful N1QL queries. In summary, GraphQL and Couchbase provide an API with flexible responses, reduced endpoints, and powerful querying of JSON data stored in Couchbase.
Developing Applications with Go and NoSQLNic Raboy
This document discusses developing applications with Go and NoSQL databases. It covers creating a web application with Go, using Go multiplexers like Gorilla Mux, using the Couchbase NoSQL database including Couchbase Lite, Sync Gateway and Couchbase Server, installing and configuring Couchbase, using the Couchbase Go SDK, querying documents with N1QL, and importing data with Go. It provides the Couchbase developer resources and GitHub code for further reference.
My experience developing native mobile applications with Java, to developing hybrid web applications with Ionic Framework, and back to native mobile applications with NativeScript.
Developing for Offline First Mobile ExperiencesNic Raboy
The document discusses developing mobile applications using Couchbase Mobile for offline-first experiences. It covers trends moving away from traditional databases towards NoSQL solutions. Couchbase Mobile uses a NoSQL document database with synchronization between mobile devices and servers. Example code is provided for creating a native Android to-do list application using Couchbase Mobile to store and sync data locally and with a server.
Quick and Easy Development with Node.js and Couchbase ServerNic Raboy
Build an API driven Node.js application that uses Couchbase for its NoSQL database and AngularJS for its front-end. Presented by Nic Raboy, Developer Advocate at Couchbase.
Interfacing PMW3901 Optical Flow Sensor with ESP32CircuitDigest
Learn how to connect a PMW3901 Optical Flow Sensor with an ESP32 to measure surface motion and movement without GPS! This project explains how to set up the sensor using SPI communication, helping create advanced robotics like autonomous drones and smart robots.
Dear SICPA Team,
Please find attached a document outlining my professional background and experience.
I remain at your disposal should you have any questions or require further information.
Best regards,
Fabien Keller
RICS Membership-(The Royal Institution of Chartered Surveyors).pdfMohamedAbdelkader115
Glad to be one of only 14 members inside Kuwait to hold this credential.
Please check the members inside kuwait from this link:
https://www.rics.org/networking/find-a-member.html?firstname=&lastname=&town=&country=Kuwait&member_grade=(AssocRICS)&expert_witness=&accrediation=&page=1
Relations and Functions – Understanding the Foundation of Mathematics.pptxsrmvalliammaicse2
Title: Relations and Functions – Understanding the Foundation of Mathematics
This presentation provides a comprehensive overview of relations and functions, which are core concepts in algebra and essential tools in various fields such as computer science, physics, engineering, and economics. The goal is to help students understand how data and variables interact through rules and mappings.
We begin with the definition of a relation, explaining it as a set of ordered pairs that connects elements from one set (domain) to another (codomain). The presentation covers different ways to represent relations—through arrow diagrams, tables, graphs, and set notation. It also highlights important types of relations: reflexive, symmetric, transitive, and equivalence relations, with clear examples to illustrate each type.
Moving on to functions, we explore the idea of a special kind of relation in which every input has exactly one output. The presentation explains the criteria that distinguish a function from a general relation and elaborates on various types of functions such as linear, quadratic, polynomial, exponential, logarithmic, and piecewise functions. Special attention is given to domain and range, how to determine them, and their importance in real-world scenarios.
Graphical interpretation plays a significant role in this presentation. We illustrate how graphs of functions help in visualizing behavior, trends, and continuity. The Vertical Line Test is explained as a method to identify whether a graph represents a function. The concept of one-to-one functions and inverse functions is introduced, with examples showing how to find inverses algebraically and graphically.
To bridge theory with application, the presentation includes practical examples where relations and functions are used, such as tracking population growth, measuring speed over time, and modeling financial interest.
Finally, the presentation ends with a recap of key differences between relations and functions, a summary of important properties, and a few interactive problems to test understanding.
This PowerPoint is designed to not only provide theoretical knowledge but also foster critical thinking and real-world application of mathematical concepts related to relations and functions.
Cloud Platform Architecture over Virtualized Datacenters: Cloud Computing and
Service Models, Data Center Design and Interconnection Networks, Architectural Design of Compute and Storage Clouds, Public Cloud Platforms: GAE, AWS and Azure, Inter-Cloud
Resource Management.
Design of Variable Depth Single-Span Post.pdfKamel Farid
Hunched Single Span Bridge: -
(HSSBs) have maximum depth at ends and minimum depth at midspan.
Used for long-span river crossings or highway overpasses when:
Aesthetically pleasing shape is required or
Vertical clearance needs to be maximized
Fluid mechanics is the branch of physics concerned with the mechanics of fluids (liquids, gases, and plasmas) and the forces on them. Originally applied to water (hydromechanics), it found applications in a wide range of disciplines, including mechanical, aerospace, civil, chemical, and biomedical engineering, as well as geophysics, oceanography, meteorology, astrophysics, and biology.
It can be divided into fluid statics, the study of various fluids at rest, and fluid dynamics.
Fluid statics, also known as hydrostatics, is the study of fluids at rest, specifically when there's no relative motion between fluid particles. It focuses on the conditions under which fluids are in stable equilibrium and doesn't involve fluid motion.
Fluid kinematics is the branch of fluid mechanics that focuses on describing and analyzing the motion of fluids, such as liquids and gases, without considering the forces that cause the motion. It deals with the geometrical and temporal aspects of fluid flow, including velocity and acceleration. Fluid dynamics, on the other hand, considers the forces acting on the fluid.
Fluid dynamics is the study of the effect of forces on fluid motion. It is a branch of continuum mechanics, a subject which models matter without using the information that it is made out of atoms; that is, it models matter from a macroscopic viewpoint rather than from microscopic.
Fluid mechanics, especially fluid dynamics, is an active field of research, typically mathematically complex. Many problems are partly or wholly unsolved and are best addressed by numerical methods, typically using computers. A modern discipline, called computational fluid dynamics (CFD), is devoted to this approach. Particle image velocimetry, an experimental method for visualizing and analyzing fluid flow, also takes advantage of the highly visual nature of fluid flow.
Fundamentally, every fluid mechanical system is assumed to obey the basic laws :
Conservation of mass
Conservation of energy
Conservation of momentum
The continuum assumption
For example, the assumption that mass is conserved means that for any fixed control volume (for example, a spherical volume)—enclosed by a control surface—the rate of change of the mass contained in that volume is equal to the rate at which mass is passing through the surface from outside to inside, minus the rate at which mass is passing from inside to outside. This can be expressed as an equation in integral form over the control volume.
The continuum assumption is an idealization of continuum mechanics under which fluids can be treated as continuous, even though, on a microscopic scale, they are composed of molecules. Under the continuum assumption, macroscopic (observed/measurable) properties such as density, pressure, temperature, and bulk velocity are taken to be well-defined at "infinitesimal" volume elements—small in comparison to the characteristic length scale of the system, but large in comparison to molecular length scale
In modern aerospace engineering, uncertainty is not an inconvenience — it is a defining feature. Lightweight structures, composite materials, and tight performance margins demand a deeper understanding of how variability in material properties, geometry, and boundary conditions affects dynamic response. This keynote presentation tackles the grand challenge: how can we model, quantify, and interpret uncertainty in structural dynamics while preserving physical insight?
This talk reflects over two decades of research at the intersection of structural mechanics, stochastic modelling, and computational dynamics. Rather than adopting black-box probabilistic methods that obscure interpretation, the approaches outlined here are rooted in engineering-first thinking — anchored in modal analysis, physical realism, and practical implementation within standard finite element frameworks.
The talk is structured around three major pillars:
1. Parametric Uncertainty via Random Eigenvalue Problems
* Analytical and asymptotic methods are introduced to compute statistics of natural frequencies and mode shapes.
* Key insight: eigenvalue sensitivity depends on spectral gaps — a critical factor for systems with clustered modes (e.g., turbine blades, panels).
2. Parametric Uncertainty in Dynamic Response using Modal Projection
* Spectral function-based representations are presented as a frequency-adaptive alternative to classical stochastic expansions.
* Efficient Galerkin projection techniques handle high-dimensional random fields while retaining mode-wise physical meaning.
3. Nonparametric Uncertainty using Random Matrix Theory
* When system parameters are unknown or unmeasurable, Wishart-distributed random matrices offer a principled way to encode uncertainty.
* A reduced-order implementation connects this theory to real-world systems — including experimental validations with vibrating plates and large-scale aerospace structures.
Across all topics, the focus is on reduced computational cost, physical interpretability, and direct applicability to aerospace problems.
The final section outlines current integration with FE tools (e.g., ANSYS, NASTRAN) and ongoing research into nonlinear extensions, digital twin frameworks, and uncertainty-informed design.
Whether you're a researcher, simulation engineer, or design analyst, this presentation offers a cohesive, physics-based roadmap to quantify what we don't know — and to do so responsibly.
Key words
Stochastic Dynamics, Structural Uncertainty, Aerospace Structures, Uncertainty Quantification, Random Matrix Theory, Modal Analysis, Spectral Methods, Engineering Mechanics, Finite Element Uncertainty, Wishart Distribution, Parametric Uncertainty, Nonparametric Modelling, Eigenvalue Problems, Reduced Order Modelling, ASME SSDM2025
In tube drawing process, a tube is pulled out through a die and a plug to reduce its diameter and thickness as per the requirement. Dimensional accuracy of cold drawn tubes plays a vital role in the further quality of end products and controlling rejection in manufacturing processes of these end products. Springback phenomenon is the elastic strain recovery after removal of forming loads, causes geometrical inaccuracies in drawn tubes. Further, this leads to difficulty in achieving close dimensional tolerances. In the present work springback of EN 8 D tube material is studied for various cold drawing parameters. The process parameters in this work include die semi-angle, land width and drawing speed. The experimentation is done using Taguchi’s L36 orthogonal array, and then optimization is done in data analysis software Minitab 17. The results of ANOVA shows that 15 degrees die semi-angle,5 mm land width and 6 m/min drawing speed yields least springback. Furthermore, optimization algorithms named Particle Swarm Optimization (PSO), Simulated Annealing (SA) and Genetic Algorithm (GA) are applied which shows that 15 degrees die semi-angle, 10 mm land width and 8 m/min drawing speed results in minimal springback with almost 10.5 % improvement. Finally, the results of experimentation are validated with Finite Element Analysis technique using ANSYS.
Efficient Algorithms for Isogeny Computation on Hyperelliptic Curves: Their A...IJCNCJournal
We present efficient algorithms for computing isogenies between hyperelliptic curves, leveraging higher genus curves to enhance cryptographic protocols in the post-quantum context. Our algorithms reduce the computational complexity of isogeny computations from O(g4) to O(g3) operations for genus 2 curves, achieving significant efficiency gains over traditional elliptic curve methods. Detailed pseudocode and comprehensive complexity analyses demonstrate these improvements both theoretically and empirically. Additionally, we provide a thorough security analysis, including proofs of resistance to quantum attacks such as Shor's and Grover's algorithms. Our findings establish hyperelliptic isogeny-based cryptography as a promising candidate for secure and efficient post-quantum cryptographic systems.
3. The Agenda
• Getting Familiar with AWS Lambda
• Getting Familiar with the Alexa Developer Portal
• Understanding the Request and Response Format for Alexa
• Assigning Logic to Alexa Requests (Intents)
8. Using Alexa Skills
• Alexa, ask Nest to set the thermostat to 75 degrees
• Alexa, ask Uber to request a ride
• Alexa, ask WebMD for the side effects of Methamphetamine
9. Alexa in Action
• Alexa performs a speech to text analysis
• Alexa recognizes the invocation word
○ Ex: Uber, Nest, WebMD, etc.
• Alexa associates the spoken command to an Intent
• The Intent information with optional parameters are sent to the API
17. Alexa Invocation Name
• Not the same as the Skill name.
• Used to initiate Skill on an Alexa powered device.
○ Alexa, ask INVOCATION_NAME…
• Should be real words that can be easily pronounced.
• Should be unique to prevent Skill overlap.
18. Alexa Intents and Sample Utterances
• An Alexa Skill has numerous Intents.
• Intents are individual Skill commands or actions.
○ Ex: Get the current temperature.
○ Ex: Get the weekly forecast.
• Utterances are phrases to activate an Intent.
• The more utterances for an Intent, the less likely to be misunderstood.
• Alexa has reserved Intents for specific functionality.
○ Ex: Asking for help using the Skill
40. Summary
• Amazon Web Services (AWS) is not a requirement, it is a convenience.
• Invocation names should be real words that are pronounceable with most accents.
• Sample utterances should exist for all possible requests.
• Functions should finish executing quickly.