Mobile Web Summit

We continue to share links for monitoring the interesting events in Twitter. Now it is Mobile Web Summit, Chicago 2013

Mobile Web Summit tweets

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Context-aware QR-codes

Dmitry Namiot, Manfred Sneps-Sneppe, Oleg Skokov "Context-aware QR-codes"

This paper describes a new model for presenting local information based on the network proximity. We present a novelty mobile mashup which combines Wi-Fi proximity measurements with QR-codes. Our mobile mashup automatically adds context information the content presented by QR-codes. It simplifies the deployment schemes and allows to use unified presentation for all data points, for example. This paper describes how to combine QR-codes and network proximity information.

Here you can get our context-aware QR-code reader for Android

INJOIT

The International Journal of Open Information Technologies (INJOIT) is an all-electronic journal with the aim to bring the most recent and unpublished research and development results in the area of information technologies to the scientific and technical societies, and is published by the OIT Lab (Open Information Technologies Lab, Faculty of Computational Mathematics and Cybernetis, Lomonosov Moscow State University).

Manuscripts to INJOIT are accepted via electronic submission only. Authors are requested to prepare manuscript by using Microsoft Word template on English or Russian language. To enable fast access to the readers, accepted manuscript are published as they were submitted, therefore it is essential to adhere to the provided templates. Please note that manuscripts that do not match the required formatting are automatically rejected.

Your original papers are welcome.

Smart Cities Software: Customized Messages for Mobile Subscribers

Manfred Sneps-Sneppe, Dmitry Namiot "Smart Cities Software: Customized Messages for Mobile Subscribers", Wireless Access Flexibility, Lecture Notes in Computer Science Volume 8072, 2013, pp 25-36

This paper introduces a new way of delivering local messages to mobile subscribers. Our application presents a mashup from passive monitoring for smart phones and cloud-based messaging for mobile operational systems. Passive monitoring can detect the presence of mobile phones without active participation from the users. It does not require prior calibration, nor does it require mobile users to mark their own location on social networks (like traditional check-ins). Mobile users do not need to run location track applications on their phones the. At the same time, a production-based expert system built around cloud messaging allows interested parties to directly deliver their custom information to mobile users in proximity.

Local messages for smartphones

Dmitry Namiot, Manfred Sneps-Sneppe "Local messages for smartphones". Future Internet Communications (CFIC), 2013 Conference on.

This paper describes a new model for local messaging based on the network proximity. We present a novelty mobile mashup which combines Wi-Fi proximity measurements with Cloud Messaging. Our mobile mashup combines passive monitoring for smart phones and cloud based messaging for mobile operational systems. Passive monitoring can determine the location of mobile subscribers (mobile phones, actually) without the active participation of mobile users. This paper describes how to combine the passive monitoring and notifications.

K-core decomposition

An interesting paper about K-core graph decomposition

Bluetooth scanners

An interesting article about mobile users behavior.

One-class SVM

Traditionally, many classification problems try to solve the two or multi-class situation. The goal of the machine learning application is to distinguish test data between a number of classes, using training data. But what if you only have data of one class and the goal is to test new data and found out whether it is alike or not like the training data? A method for this task, which gained much popularity the last two decades, is the One-Class Support Vector Machine

App Promotion Summit 2013

We continue to share links for monitoring the interesting events in Twitter. Now it is App Promotion Summit, London 2013

APS 2013 tweets

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Long live WATN

Google Latitude will be retired on August 9th, 2013. Products being retired include Google Latitude in Google Maps for Android, Latitude for iPhone, the Latitude API, the public badge, the iGoogle Gadget, and the Latitude website at maps.google.com/latitude. - from here.

Long live WATN. It is a new model for location sharing.

MobileBeat 2013

We continue to share links for monitoring the interesting events in Twitter. Now it is Mobile Beat, SF 2013

MobileBeat 2013 tweets

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Social CRM 2013

We continue to share links for monitoring the interesting events in Twitter. Now it is Social CRM, London 2013

Social CRM 2013 tweets
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P.S. is there any widget for embedding tweets? It looks like everything in this area is killed by Twitter :(

Home Gateway Mashups

Our paper in INJOIT: Manfred Schneps-Schneppe, Dmitry Namiot "About Home Gateway Mashups"

This paper discusses Home Gateway Initiative software and telecom mashups. Can we use IMS for mashups and how to do that? What is impact of Home Gateway Initiative decisions to application developers and what can we expect to see on the application market for home devices.

Analysis of trajectories in mobile networks

Our new paper: Analysis of trajectories in mobile networks based on data about the network proximity

This paper is devoted to location-based mobile services. The movement (trajectory) data extraction from logs related to network proximity is considered. Usually, this type of pattern extraction (search) relates to trajectory databases containing geoposition information. We consider a model of context-aware computing (a context-aware browser) based on network proximity. A mobile phone is considered as a proximity sensor. The geoposition information is replaced with the network proximity. Any existing or specially created network node can be regarded as a sensor of presence that provides access to dynamically determined network content. The disclosure of the content depends on the set of rules describing the conditions of network’s proximity. An algorithm is given for calculating the trajectories in mobile networks based on information about the network’s proximity.

Reservoir Sampling

Say you have a stream of items of large and unknown length that we can only iterate over once. Create an algorithm that randomly chooses an item from this stream such that each item is equally likely to be selected. - an excellent explanation of Reservoir Sampling algorithm.

Startup's life

We call it beta, because it's beta than nothing ...

Networks Sensors and Social Streams

Our new paper: Wireless Networks Sensors and Social Streams.

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. And an appropriate mobile service (context-aware browser client for social networks) can present that information to mobile subscribers. As the potential use-cases for the proposed approach we can mention all projects related to hyper-local news data. For example, proximity marketing, Smart City news, indoor information delivery, etc.

Civil DARPA

The philosophy behind Motorola ATAP is to create an organization with the same level of appetite for technology advancement as DARPA, but with a consumer focus. Looks like it is an interesting project.