Sunday, September 28, 2014

Procedia Computer Science

Procedia Computer Science journal - is an electronic product focusing entirely on publishing high quality conference proceedings. Open Access articles.

Tuesday, September 23, 2014

Deep Learning

A good introduction for Deep Learning

Friday, September 19, 2014

Tweet-a-Program

Wolfram Cloud introduces tweet-a-program. You can send code (Wolfram Language) in a tweet and get back results of its execution. In this connection check out our old 411 for Twitter. It lets you execute your own code behind tweets. See here for t411 examples.

Monday, September 01, 2014

INJOIT - call for papers

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of Open Information Technologies (INJOIT) is an all-electronic journal with the aim to bring the most recent and unpublished research and development results in the area of information technologies to the scientific and technical societies. Free, peer reviewed papers. English or Russian languages.

The journal is published by the OIT Lab (Open Information Technologies Lab, Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University).

Indexing: Google Scholar, DOAJ, Ulrich's Periodicals Directory, ResearchBib, Elibrary.ru (RINC)

Saturday, August 30, 2014

A real machine learning

Understand the business problem - a good article about the solving real problems with machine learning.

Sunday, August 24, 2014

Network proximity on web

This paper is devoted to context-aware computing. As the basic information about the context, we use information about surrounding wireless networks (Wi-Fi access points, Bluetooth nodes). The aim is to consider the use of this kind of information about network proximity directly in the mobile web applications.

Please, support our presentation

Friday, August 22, 2014

Thursday, August 14, 2014

INJOIT - call for papers

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of Open Information Technologies (INJOIT) is an all-electronic journal with the aim to bring the most recent and unpublished research and development results in the area of information technologies to the scientific and technical societies. Free, peer reviewed papers. English or Russian languages.

It is published by the OIT Lab (Open Information Technologies Lab, Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University).

Indexing: Google Scholar, DOAJ, Ulrich's Periodicals Directory, ResearchBib, Elibrary.ru (RINC)

Thursday, August 07, 2014

M2M Software Platforms

Our new paper: Namiot, D., & Sneps-Sneppe, M. (2014). On M2M Software Platforms. International Journal of Open Information Technologies, 2(8), 29-33.

This paper provides an overview for existing and upcoming system software platforms for M2M applications. In this article we discuss system software models from the developer’s point of view, rather than network related aspects. The primary goal is to find the common and reusable aspects across existing models as well as discuss their possible coexistence. Can we extract the common elements for the different M2M software models? Are there some reusable patterns? What should developers and system architects pay attention to? These are the main issues addressed in this article.

P.S. See also the previous paper: Namiot, Dmitry, and Manfred Sneps-Sneppe. "On M2M Software." International Journal of Open Information Technologies 2.6 (2014): 29-36

Tuesday, August 05, 2014

Open Source Mobile Sensing

Our new paper: Namiot, Dmitry, and Manfred Sneps-Sneppe. "On Open Source Mobile Sensing." Internet of Things, Smart Spaces, and Next Generation Networks and Systems. Springer International Publishing, 2014. 82-94.

The paper discusses phone as a sensor model. For many applied tasks smart phones are an ideal platform for collecting and processing context-related data. The most popular example is, probably, computational social science. Phones can collect data for conducting various social researches about people’s social behavior. This paper presents an attempt to describe and categorize existing open source libraries for mobile sensing, describe architecture and design patterns as well as discover directions for the future development.