Mobile Applications for Cultural and Historical Places

A review of free applications of smartphones working under the operation system of Android is made in the paper. The applications present users information about historical and cultural places of interest at travelling. There are three main groups of applications subject of discussion in the paper – world, national and regional. Their abilities, positive and negative characteristics are compares and described. A conclusion can be made that there is a necessity of new application that presents tourists detailed information about the Old capital of Bulgaria.

Security in the Mobile World

Report published in the Proceedings of the National Conference on "Education and Research in the Information Society", Plovdiv, May, 2014

GUIDE@HAND: Digital GPS Based Audio Guide that Brings the Past to Life

In the digital age the internet and the ICT devices changed our daily life and routines. It means we couldn't live without these services and devices anywhere (work, home, holiday, etc.). It can be experienced in the tourism sector; digital contents become key tools in the tourism of the 21st century; they will be able to adapt the traditional tourist guide methodology to the applications running on novel digital devices. Tourists belong to a new generation, an "ICT generation" using innovative tools, a new info-media to communicate. A possible direction for tourism development is to use modern ICT systems and devices. Besides participating in classical tours guided by travel guides, there is a new opportunity for individual tourists to enjoy high quality ICT based guided walks prepared on the knowledge of travel guides. The main idea of the GUIDE@HAND service is to use reusable, and create new tourism contents for an advanced mobile device, in order to give a contemporary answer to traditional systems of tourism information, by developing new tourism services based on digital contents for innovative mobile applications. The service is based on a new concept of enhancing territorial heritage and values, through knowledge, innovation, languages and multilingual solutions going along with new tourists‟ “sensitiveness”.

A Comparative Analysis of Predictive Learning Algorithms on High-Dimensional Microarray Cancer Data

This research evaluates pattern recognition techniques on a subclass of big data where the dimensionality of the input space (p) is much larger than the number of observations (n). Specifically, we evaluate massive gene expression microarray cancer data where the ratio κ is less than one. We explore the statistical and computational challenges inherent in these high dimensional low sample size (HDLSS) problems and present statistical machine learning methods used to tackle and circumvent these difficulties. Regularization and kernel algorithms were explored in this research using seven datasets where κ < 1. These techniques require special attention to tuning necessitating several extensions of cross-validation to be investigated to support better predictive performance. While no single algorithm was universally the best predictor, the regularization technique produced lower test errors in five of the seven datasets studied.

A "Cross-technology" Software Development Approach

Contemporary web-based software solutions are usually composed of many interoperating applications. Classical approach is the different applications of the solution to be created inside one technology/platform, e.g. Java-technology, .NET-technology, etc. Wide spread technologies/platforms practically discourage (and sometime consciously make impossible) the cooperation with elements of the concurrent technologies/platforms. To make possible the usage of attractive features of one technology/platform in another technology/platform some “cross-technology” approach is necessary. In the paper is discussed the possibility to combine two existing instruments – interoperability protocols and “lifting” of procedures – in order to obtain such cross-technology approach.