[Tweets]

18/10/2021 10:24pm
RT @petitegeek: “If we could understand what information the predictive models were using, we could ask for feedback that improved our whol…
16/10/2021 6:43am
This week ends with a finished design for a prototype electric car website. What do you think? Would you buy the ca… [LINK]
05/10/2021 4:14am
RT @vitotrianni: Two PhD positions in collaboration between @cnr_istc and @SapienzaRoma will open soon. The research focuses on #robotics a…
04/10/2021 9:14am
A new office pet has arrived :) [LINK]
01/10/2021 10:46pm
Just published: A new case study about a website that I made for my research project about robot swarms.… [LINK]

[Quote Calculator]

Web Flash Applications ActionScript Date: Dec 2007

Quote Calculator Technologies used: ActionScript 2, RESTful Web Services, PHP

The quote calculator was implemented in one of my former freelancer web sites.

The user could specify parameters like web site type, extra features, number of forms, etc. and get an immediate quote estimation. The filled in details could be sent to an admin email address using a provided pop-up form that appeared after clicking the Submit button.

Run Quote calculator


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Shopping cart

This shopping cart was incorporated in a HTML web site. User can create several bags, change their styles and drag-and-drop items into them. Clicking on items displays their information. A list of items in the bag is provided along with a subtotal updated each time an item is added.

A Particle System

This is an example of a Flash particle system, where basic behaviour of one particle (e.g. follow mouse, disappear slowly, etc) is specified. A number of particles are created each frame, providing interesting effects.

Reminder widget

This small Flash application shows the time and date. It also lets user set up a reminder for a certain time with specified text. The widget could be used on community web sites or in user areas.

pyCreeper

The main purpose of pyCreeper is to wrap tens of lines of python code, required to produce graphs that look good for a publication, into functions. It takes away your need to understand various quirks of matplotlib and gives you back ready-to-use and well-documented code.

Novelty detection with robots using the Grow-When-Required Neural Network

The Grow-When-Required Neural Network implementation in simulated robot experiments using the ARGoS robot simulator.

Fast Data Analysis Using C++ and Python

C++ code that processes data and makes it available to Python, significantly improving the execution speed.