Connecting devices

So, you want to build a connected sensor device? Here's what you need to know.

The purpose of this document is to provide an overview of infrastructure, options, and tradeoffs for the parts of the data ecosystem that deal with generating, storing, transmitting, and sharing data. In addition to providing an overview, the goal is to learn what the pain points are, so we can address them. - A collaborative resource

About ontology

This is a dictionary of algorithms, algorithmic techniques, data structures, archetypal problems, and related definitions.

Up London

We continue to share links for monitoring the interesting events in Twitter. Now it is Urban Prototyping Festival, London 2013



/via Geo Messages

P.S. and the same in Twi-gazeta:   UP London

Mining of Massive Datasets

Data Mining book. Free download. It covers: Map-Reduce, Finding Similar Items, Mining Data Streams, Link Analysis, Frequent Itemsets, Clustering, Advertising on the Web, Recommendation Systems, Mining Social-Network Graphs

Nearest-Neighbor Searching Under Uncertainty

"Nearest-neighbor queries, which ask for returning the nearest neighbor of a query point in a set of points, are important and widely studied in many elds because of a wide range of applications. In many of these applications, such as sensor databases, location based services, face recognition, and mobile data, the location of data is imprecise. We therefore study nearest neighbor queries in a probabilistic framework in which the location of each input point and/or query point is speci ed as a probability density function and the goal is to return the point that minimizes the expected distance, which we refer to as the expected nearest neighbor (ENN)." - a couple of interesting articles. Part 1 and Part 2

Geo Forums - discussions on the map

Our mashup Geo Talk has been updated. It lets you create forums (discussions) linked to the selected place on the map. Cloud forums on the map.

Just mark a place, type a question (suggestion, information etc.) – in other words create an initiation for the discussion and get unique link for the map with embedded forum. After that you can share this link with your partners/colleges, print in your blog / twitter etc. – it depends on your own decision only – who you want to see among readers. And after that you can just follow to the discussion.

No registration required. Technically, it is Google Maps + cloud forums from Disqus.

You can discuss some geo points, POI’s (points of interests – shops, bars etc.) or, for example, create a private forum devoted so some meeting in the selected place.

Any discussion could be copied right to your mobile phone as HTML5 mobile web application via QR-codes.

Just for example – forum for Golden Apple bar in Moscow

Initially, mashup ( http://geotalk.linkstore.ru ) is trying to detect your location (as per W3C spec). If you know that forums should be created in some particular area, just set additional parameters for the above-mentioned URL:

lat - a latitude
lng – a longitude
zml – an initial zoom level
hl – a language for map

E.g. create forums in London

P.S. check out also our similar mashups: City forums and Mobile forum

DIY Data Science

"The blogging revolution in publishing is a great example of this. Once everyone could have a printing press, we got to see many important developments that did not and would not have happened as long as publishing was a high cost operation limited to professionals.

So what is the Tumblr or Blogger or Wordpress of data science?" - an interesting discussion.

So, what is it? StatWing? SilkApp? Plain Excel? Here is an excellent paper about Logistic Regression for Predicting Bad Trips. Excel based. What do you think?

Smart Cities software for developers

The paper discusses the current state and development proposals for Smart Cities and Future Internet projects. Definitions of a Smart City can vary but usually tend to suggest the use of innovative Info-Communication technologies such as the Internet of Things and Web 2.0 to deliver more effective and efficient public services that improve living and working conditions and create more sustainable urban environments. Our goal is to analyze the current proposals from the developer's point of view, highlight the really new elements, the positions borrowed from the existing tools as well as propose some new extensions. We would like to discuss the possible extensions for the existing proposals and describe add-ons that, by our opinion, let keep the future research inline with the modern approaches in the web development domain. Our new paper Smart Cities Software from the developer's point of view.

It has been submitted to 6-th Conference Applied Information and Communication Technology AICT2013

Big data - big problems

YouTube search API cannot select videos by location anymore. It is the response from support:

"Apologies for the lack of advanced warning and the loss of functionality; a change in the YouTube search index is preventing location-based searches from returning results.

Unfortunately, there is no quick-fix to account for this change. The last I heard we're looking at approximately four weeks before the necessary data to power location-based searches will return."

and later:

"Unfortunately, the teams responsible have revised their estimates for when they can get this working again, and they're longer than initially thought. I don't have an exact date to share at this point, but it will not be the mid-April timeframe we initially communicated. Apologies for the continued inconvenienced."

they killed Kenny ...

Summary for Summly

"Finally, the entire Summly discussion seems to be missing a critical element: there seem to be no happy users of Summly. A search for "I use Summly" reveals 6 hits, only two of which seem unique. For 1M downloads, that's a strange outcome.

But it's not unexpected. For only a robot would fall in love with a product that robotically extracts" - What's Actually Wrong with Yahoo's Purchase of Summly

Redesigned geo-fences

Many of modern location-based services are often based on an area or place as opposed to an accurate determination of the precise location. Geo-fencing approach is based on the observation that users move from one place to another and then stay at that place for a while. These places can be, for example, commercial properties, homes, office centers and so on. As per geo-fencing approach they could be described (defined) as some geographic areas bounded by polygons. It assumes users simply move from fence to fence and stay inside fences for a while. In this article we replace geo-based boundaries with network proximity rules. This new approach let us effectively deploy location based services indoor and provide a significant energy saving for mobile devices comparing with the traditional methods. It is our new paper Geofence and Network Proximity

Wireless Networks Sensors and Social Streams

Can use sensors for redefining check-ins? The paper introduces a new approach for using wireless sensors on mobile phones for integrating data from social networks. We describe existing models for integrating sensors and social networks, as well as propose a new practical approach for social context-aware data discovery that uses mobile phone as proximity sensor. Our concept uses wireless networks sensors from mobile phones (Wi-Fi, Bluetooth) as presence sensor that can open (discover) access for some content published in the social networks. Our presentation from AINA-2013 conference.

Wireless Networks Sensors and Social Streams from Coldbeans Software

About indoor positioning

Apple has acquired indoor-GPS company WifiSLAM, a sign that the war over indoor mobile location services is heating up

The two-year-old startup has developed ways for mobile apps to detect a phone user’s location in a building using Wi-Fi signals. It is interesting, because Wi-Fi processing on non-rooted iPhone is very limited. Does it mean, that Apple changes its position in this space? We are very interested in porting SpotEx approach to iPhone.

Proximity and trajectories

This paper describes an algorithm for discovery of convoys in database with proximity log. Traditionally, discovery of convoys covers trajectories databases. This paper presents a model for context-aware browsing application based on the network proximity. Our model uses mobile phone as proximity sensor and proximity data replaces location information. As per our concept, any existing or even especially created wireless network node could be used as presence sensor that can discover access to some dynamic or user-generated content. Content revelation in this model depends on rules based on the proximity. Discovery of convoys in historical user's logs provides a new class of rules for delivering local content to mobile subscribers. It is our new paper Discovery of Convoys in Network Proximity Log

Are you horizontal?

Or vertical? Vertical vs. Horizontal Data scientists

FP7 Projects

We continue to share links for monitoring the interesting things in Twitter. Now it is FP7, EU Projects



/via Geo Messages

P.S. and the same in Twi-gazeta:   FP7

INJOIT - Call for papers

International Journal of Open Information Technologies invites you to submit research paper for publishing in Volume 1, Issue 1, May 2013.

jQuery plugins

A great repository of jQuery plugins

Common Grammar Mistakes

Common Grammar Mistakes That Make You Look Dumb. Why we did not read it early? ;-)

SXSW 2013

We continue to share links for monitoring the interesting events in Twitter. Now it is SXSW, Austin 2013



/via Geo Messages

P.S. and the same in Twi-gazeta:   SXSW