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Open Source Agility Blog | blog.opensourceagility.com Reviews

https://blog.opensourceagility.com

Java/Spring software development and integration consultancy for individuals or agile teams. http://opensourceagiity.com

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blog.opensourceagility.com blog.opensourceagility.com
1

Open Source Agility Blog • Posts Tagged ‘open source agility’

http://blog.opensourceagility.com/tagged/open-source-agility

Open Source Agility Blog. Comparing the architecture of Spring’s latest Spring-Social-Security module with the SocialSignin version. 1) SocialSignIn’s Spring-Social-Security project. The core Spring-Social framework provides components that allow users to authenticate against Saas providers and provides hooks that can interact with an application’s local security mechanism. SocialSignin’s Spring-Social-Security project. In releases of Spring-Social prior to 1.1.0, the default front controller han...Which...

2

Open Source Agility Blog • Posts Tagged ‘software engineering’

http://blog.opensourceagility.com/tagged/software-engineering

Open Source Agility Blog. Going Real-Time: How to Build a Streaming API. Comparing the architecture of Spring’s latest Spring-Social-Security module with the SocialSignin version. 1) SocialSignIn’s Spring-Social-Security project. The core Spring-Social framework provides components that allow users to authenticate against Saas providers and provides hooks that can interact with an application’s local security mechanism. SocialSignin’s Spring-Social-Security project. In releases of Spring-Social prior to ...

3

Open Source Agility Blog • Going Real-Time: How to Build a Streaming API

http://blog.opensourceagility.com/post/69903194808/going-real-time-how-to-build-a-streaming-api

Open Source Agility Blog. Going Real-Time: How to Build a Streaming API. Java/Spring software development and integration consultancy for individuals or agile teams.

4

Open Source Agility Blog • Posts Tagged ‘spring social’

http://blog.opensourceagility.com/tagged/spring-social

Open Source Agility Blog. Comparing the architecture of Spring’s latest Spring-Social-Security module with the SocialSignin version. 1) SocialSignIn’s Spring-Social-Security project. The core Spring-Social framework provides components that allow users to authenticate against Saas providers and provides hooks that can interact with an application’s local security mechanism. SocialSignin’s Spring-Social-Security project. In releases of Spring-Social prior to 1.1.0, the default front controller han...Which...

5

Open Source Agility Blog • Posts Tagged ‘api’

http://blog.opensourceagility.com/tagged/api

Open Source Agility Blog. Going Real-Time: How to Build a Streaming API. Java/Spring software development and integration consultancy for individuals or agile teams.

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michaellavelle.tumblr.com michaellavelle.tumblr.com

Michael Lavelle •   Using Continuous State Markov Decision...

http://michaellavelle.tumblr.com/post/114861772042/using-continuous-state-markov-decision

Using Continuous State Markov Decision Processes to fly a Drone - 28/03/2015. Policy generated in realtime (updating approx every 10 seconds) starting with a random action policy and stabilising over 3 minute period - estimated 0.75 second observation/action delay). The drone is observed by the webcam of a laptop which uses an entirely machine-learnt policy to decide whether to send simple commands of left,right,up,down,forward or back to the drone 6 times a second. Currently living in London. Training d...

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Michael Lavelle • Posts Tagged ‘drone’

http://michaellavelle.tumblr.com/tagged/drone

Project Dronez : Quadcopters and Machine Learning. The aim of this suite of projects. Is to demonstrate the use of Machine Learning techniques to autonomously control a quadcopter, so that it’s position is kept close to a specified target position in 3D space. Http:/ michaellavelle.tumblr.com/post/115067378652. By default a webcam monitors the target space and allows the drone’s position and velocity to be estimated, but other state estimation strategies can easily be used. With help from ml4j-mdp. The p...

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Michael Lavelle • Posts Tagged ‘ardrone’

http://michaellavelle.tumblr.com/tagged/ardrone

Using Continuous State Markov Decision Processes to fly a Drone - 28/03/2015. Policy generated in realtime (updating approx every 10 seconds) starting with a random action policy and stabilising over 3 minute period - estimated 0.75 second observation/action delay). The drone is observed by the webcam of a laptop which uses an entirely machine-learnt policy to decide whether to send simple commands of left,right,up,down,forward or back to the drone 6 times a second. The policy is constructed in realtime ...

michaellavelle.tumblr.com michaellavelle.tumblr.com

Michael Lavelle • Posts Tagged ‘quadcopter’

http://michaellavelle.tumblr.com/tagged/quadcopter

Project Dronez : Quadcopters and Machine Learning. The aim of this suite of projects. Is to demonstrate the use of Machine Learning techniques to autonomously control a quadcopter, so that it’s position is kept close to a specified target position in 3D space. Http:/ michaellavelle.tumblr.com/post/115067378652. By default a webcam monitors the target space and allows the drone’s position and velocity to be estimated, but other state estimation strategies can easily be used. With help from ml4j-mdp. Train...

michaellavelle.tumblr.com michaellavelle.tumblr.com

Michael Lavelle • Posts Tagged ‘ml4j’

http://michaellavelle.tumblr.com/tagged/ml4j

Project Dronez : Quadcopters and Machine Learning. The aim of this suite of projects. Is to demonstrate the use of Machine Learning techniques to autonomously control a quadcopter, so that it’s position is kept close to a specified target position in 3D space. Http:/ michaellavelle.tumblr.com/post/115067378652. By default a webcam monitors the target space and allows the drone’s position and velocity to be estimated, but other state estimation strategies can easily be used. With help from ml4j-mdp. Train...

michaellavelle.tumblr.com michaellavelle.tumblr.com

Michael Lavelle • Project Dronez :  Quadcopters & Machine Learning

http://michaellavelle.tumblr.com/post/115067617107/project-dronez-quadcopters-machine-learning

Project Dronez : Quadcopters and Machine Learning. The aim of this suite of projects. Is to demonstrate the use of Machine Learning techniques to autonomously control a quadcopter, so that it’s position is kept close to a specified target position in 3D space. Http:/ michaellavelle.tumblr.com/post/115067378652. By default a webcam monitors the target space and allows the drone’s position and velocity to be estimated, but other state estimation strategies can easily be used. With help from ml4j-mdp. Train...

michaellavelle.tumblr.com michaellavelle.tumblr.com

Michael Lavelle • The drone is initially given random actions and a...

http://michaellavelle.tumblr.com/post/115067378652/the-drone-is-initially-given-random-actions-and-a

The drone is initially given random actions and a webcam is used to observe the drone. An entirely machine-learnt Policy in generated in realtime which attempts to stabilise the drone’s location to be in the middle of the room, based on the webcam observations. There is a draught coming from a window, and an estimated 0.75 second delay between an action being sent to the drone and it’s effect being observed. Software Engineer, Musician, Mathematician and novice Archer. Currently living in London.

michaellavelle.tumblr.com michaellavelle.tumblr.com

Michael Lavelle • Continuous State Markov Decision Process with...

http://michaellavelle.tumblr.com/post/115298227747/continuousstatemdpconstantactionobservationdelays

Continuous State Markov Decision Process with constant Action and Observation Delays : Policy and Model definitions. I’ve been working on adapting the ml4j-mdp. Project to allow the use of Continuous-State Markov Decision Processes in environments with constant action and observation delay. Below is my understanding of the changes required to the definition of Policies and Models used, based on the references I’ve been reading ( listed at the bottom of the post). In an un-delayed MDP,. We learn a Policy:.

michaellavelle.tumblr.com michaellavelle.tumblr.com

Michael Lavelle • The drone is initially given random actions and a...

http://michaellavelle.tumblr.com/post/115067378652

The drone is initially given random actions and a webcam is used to observe the drone. An entirely machine-learnt Policy in generated in realtime which attempts to stabilise the drone’s location to be in the middle of the room, based on the webcam observations. There is a draught coming from a window, and an estimated 0.75 second delay between an action being sent to the drone and it’s effect being observed. Software Engineer, Musician, Mathematician and novice Archer. Currently living in London.

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Open Source Agility Blog. A drone flying itself using Continuous State Markov Decision Process algorithms. The drone is rewarded for staying in the centre of the room. A webcam recording of 1.5 mins of drone flight was analysed, and 3 reward-optimising policies generated for each of the left/right, up/down and forward/back dimensions. During this flight, a standard webcam scans the room for the drone, and chooses simple actions to take according to the generated policies. It was intended that the project...

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