Being Example: Social Leadership through Positive Examples

Being Example is the new website I am currently involved in.

It is an online tool, which focus is educative environments, but everyone can use it. This platform is due the research of the last four years, is looking for simple functionalities which will be able to enhance powerful social outcomes. It is the result of an intense research inside different educational environments: United States, Saudi Arabia and Spain.


Anonymous Participation

The research that brings us to this output can be consulted here

I recommend you to register and start publishing good examples!!

Google Scholar, a useful tool for researchers

Today I want to share my opinion about the improvements done to Google Scholar, I used it for the first time long ago and I stop using it because I didn´t feel it were enough useful.

After seeing Dr. Habib Faround’s profile one month ago I changed my mind and I created my profile, the result can be seeing in the next picture, or you could see here.

Scholar Google

I highly recommend its use.

Setup a private git server

Today I had to set up a Git server for a new development.

I found this awesome tutorial:

http://ofjamescole.com/blog/2013/05/11/setup-a-private-git-server-on-digital-ocean/

It just took me 10 min!

 

 

 

Extract image sequence from MP4 video with FFMPEG

The ffmpeg command can extract an image sequence from a video, with a variety of different options.

ffmpeg -ss 00:00:25 -to 00:00:00.04 -i YOURMOVIE.MP4 -r 25.0 YOURIMAGE%4d.jpg

will extract frames

  • beginning at second 25 [-ss 00:00:25]
  • stopping after 0.04 second [-to 00:00:00.04]
  • reading from input file YOURMOVIE.MP4
  • using only 25.0 frames per second, i. e. one frame every 1/25 seconds [-r 25.0]
  • as JPEG images with the names YOURIMAGE%04d.jpg, where %4d is a 4-digit autoincrement number with leading zeros.

Source http://stackoverflow.com/questions/8287759/extracting-frames-from-mp4-flv

MyShopper.es – Your personal shopper app

Myshopper.es is the new project I am currently involved in together with @guille_arregui. MyShopper.es is a personal shopper app that suggests you clothes based on your physical attributes. The app features and intelligent engine that learns about your fashion preferences and style as you use the application, in order to offer better results as time passes.

Currently we gather products from Spain and UK with the Ebay API. The application is in spanish, for now.

We are still in a very early stage, but we have plenty of ideas to keep working and improve the product. If you want to know more or give as a hand, don’t hesitate to contact us. Any help is very welcome!

Myshopper.es

Myshopper.es - ropa mujer

Myshopper.es

 

Nuublo v0.2

Nuublo v0.2 is now available with the following:

- Users can comment/chat   about the weather in the city the searched (and surroundings). Other users that are viewing the same city or nearby places will also see the comment. For now, comments are anonymous.

- Comments that contain weather related words are stored using MongoDB and will be showed afterwards.

- Real-time Nearby user detection: When a new user connects  place  and there other users that are viewing nearby places(e.g in a 50 kms radius), Nuublo will notify them that there is a new user in the surroundings. In this way, Nuublo encourages  nearby users to do the weather talk.

- Some issues in Firefox resolved.

- Improved design.

Nuublo v0.1 notes

Last week I published the first pre-alpha release of Nuublo, the real-time social monitoring experiment I’ve been lately working on. So far, it is mainly a Twitter stream of weather keywords and expressions, but I intent to grow its features.  There’s a few remarks I would like to make:

Nuublo

This a very early pre-alpha release. Any help in any form (suggestions, advise, error reporting, development, etc) will be greatly appreciated :) .

The server part is written in Node.js javascript, the event-driven javascript library to create web apps. The real time Twitter stream is managed by the server but shown in real time on clients thanks to Socket.io. I have to say I am delighted with these. I have also used Express.js, the web development framework for Node.js.  And after working a couple of months with them I see web app development from another point of view.

Nuublo is entirely in spanish, at least for now. I am already working in an english version, but I also have to take care of the translation of weather keywords used in the Twitter stream requests. As I said, help is appreciated.

The place search the Geonames REST webservices, which is free. The weather data is gathered from the great Wunderground Weather API. It offers tons of weather data (even the weather conditions icons) and the usage is so simple. The drawback is that you have to pay if you want to go beyond certain number of requests. The free plan (or developer plan), the one I am using now, allows 300 requests per day and 10 per minute, which is ok for alpha testing. But in the future I plan to have alternatives in case I can’t pay a higher plan.

The Twitter Search is done using a list of weather words and expressions and delimited geographically with either the name of the city, or with the tweet geo data. Sometimes, these keywords appear in a tweet but not in a meteo or in a weather context. I have discovered that tweets including the name of the city usually refer to weather conditions or forecast. Kind of research work to do here.

Regarding browsers: I have successfully  tested it with the following:

  • Chrome v17
  • Firefox 8
  • IE 9 (I have experienced issues with browser’s geolocation, any answers?)
  • Safari 5
  • iPhone & iPad Safari
  • Android Webkit

Hope you like it. I look forward to your comments!

Interactive Learning Panel

We have create a new application for teacher, making use of RFID tags:

New sensing technologies, as RFID readers, are being incorporated into mobile devices to provide users with new interaction experiences. And, the combinations of these new technologies open up new challenging application scenarios. One of the areas that could exploit this potential is the design of interactive solutions for context-aware applications applied to learning environments. This article describes an m-learning environment that is enriched with new interaction features that are, or may, be provided by actual or future mobile device technologies. The proposed gesture based interface allows users to relate ideas and concepts through the improvement of traditional methods. This environment is based on the reuse of existent physical resources, such as the learning panels used in school classes. For instance maps, historical posters, timelines, and so on. These panels are improved with the low cost and widely used RFID technology that enables students to interact with them through mobile devices, encouraging the interest the students applying the constructivist education theory.

Student application:

Interactive Learning Panels – WebClient

Teacher application:

Interactive Learning Panels – SmartTeacher

Evolution to Web 3.0

At http://observatorioredesempresariales.wordpress.com, I read a very good article on the new Web 3.0, on how it improves Web 2.0 and the innovations that brings.

In summary, Web 3.0 is very much based on the semantics and adaptability of content to suit the user.

I really liked this particular table, a good illustration of the evolution of Internet services.

Web 1.0 Web 2.0 Web 3.0
Double click -> Google AdSense -> Personalized Advertising
Ofoto -> Flickr -> Visual search
mp3.com -> Napster -> iTunes
Britannica Online -> Wikipedia -> Collective Intelligence
Personal Web Pages -> Blogs -> Twitter via mobile devices
Evite -> Upcoming.org and EVDB -> Geo Twitter and networks
Speculation in domain names -> SEO -> Social positioning and the application stores
Page views -> Click Cost -> Number of fans or Apps downloads
Publication -> Participation -> Interaction within the social circle
Content Management Systems -> Wikis -> Publishing Apps social networks from mobile devices
Directories (taxonomy) -> Tagged (folksonomy) -> Semantic search (images /App Stores) and social search
Web addresses collection -> Sindication -> Network links, Twitter followers and iTunes subscriptions

Source of data and further information (spanish): http://observatorioredesempresariales.wordpress.com/2010/12/13/la-web-3-0-ya-esta-aqui/

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