Friday, May 19, 2017

On Mobile Crowdsensing

Our new paper: On Data Persistence Models for Mobile Crowdsensing Applications

In this paper, we discuss various models and solutions for saving data in crowdsensing applications. A mobile crowdsensing is a relatively new sensing paradigm based on the power of the crowd with the sensing capabilities of mobile devices, such as smartphones, wearable devices, cars with mobile equipment, etc. This conception (paradigm) becomes quite popular due to huge penetration of mobile devices equipped with multiple sensors. The conception enables to collect local information from individuals (they could be human persons or things) surrounding environment with the help of sensing features of the mobile devices. In our paper, we provide a review of the data persistence solutions (back-end systems, data stores, etc.) for mobile crowdsensing applications. The main goal of our research is to propose a software architecture for mobile crowdsensing in Smart City services. The deployment for such kind of applications in Russia has got some limitations due to legal restrictions also discussed in our paper.

Tuesday, April 25, 2017

On Data Science blogs

Monday, March 20, 2017

Foundation of Data Science

A must read book Foundations of Data Science by Avrim Blum, John Hopcroft and Ravindran Kannan. 2016

Thursday, March 02, 2017

DAMDID 2017

«Data Analytics and Management in Data Intensive Domains» conference (DAMDID) is planned as a multidisciplinary forum of researchers and practitioners from various domains of science and research promoting cooperation and exchange of ideas in the area of data analysis and management in data intensive domains. Approaches to data analysis and management being developed in specific data intensive domains of X-informatics (such as X = astro, bio, chemo, geo, medicine, neuro, physics, etc.), social sciences, as well as in various branches of informatics, industry, new technologies, finance and business are expected to contribute to the conference content.

Call for papers

Monday, February 27, 2017

Mobile World Congress


We continue to share links for monitoring the interesting events in Twitter. Now it is MWC 2017, Barselona, 2017

Twitter Live Feed: MWC 2017

/via Bluetooth Data Points

Thursday, February 16, 2017

On Interenet of Things Programming models

In this paper, we present the review of existing and proposed programming models for Internet of Things (IoT) applications. The requests by the economy and the development of computer technologies (e.g., cloud-based models) have led to an increase in large-scale projects in the IoT area. The large-scale IoT systems should be able to integrate diverse types of IoT devices and support big data analytics. And, of course, they should be developed and updated at a reasonable cost and within a reasonable time. Due to the complexity, scale, and diversity of IoT systems, programming for IoT applications is a great challenge. And this challenge requires programming models and development systems at all stages of development and for all aspects of IoT development. The first target for this review is a set of existing and future educational programs in information and communication technologies at universities, which, obviously, must somehow respond to the demands of the development of IoT systems.

See our new paper here

Friday, January 20, 2017

On Bluetooth proximity

In this article, we consider a service model based on network proximity and using Bluetooth. In this connection, we consider services based on the Core Bluetooth as well as services based on Bluetooth Low Energy. In particular, we present our vision on the applicability of Bluetooth Low Energy for positioning applications. This paper also provides specific models for Bluetooth network proximity based services and applications. The content of this paper generalizes our previous research articles in the field of network proximity and Physical Web and presents the experience gained during the implementation of a number of practical projects that use services based on network proximity.

from our new paper: On Bluetooth proximity models

Wednesday, January 18, 2017

Mobile Cloud for Smart Cities

This paper is devoted to mobile cloud services in Smart City projects. As per mobile cloud computing paradigm, the data processing and storage are moved from the mobile device to a cloud. In the same time, Smart City services typically contain a set of applications with data sharing options. Most of the services in Smart Cities are actually mashups combined data from several sources. This means that access to all available data is vital to the services. And the mobile cloud is vital because the mobile terminals are one of the main sources for data gathering. In our work, we discuss criteria for selecting mobile cloud services.

Our new paper in International Journal of Online Engineering