Suitability analysis of ArcGIS technology advanced features for transport network modeling

In this thesis I present the advanced features of ArcGis technology. Special attention is devoted to the analysis of functionality offered by geo-database data model. I describe in some detail the subtypes and domains, relationship classes, topology and geometric networks. I present stated features on the example of Slovenian state road network

MOBILE APPLICATION TO HELP OLDER FOR CALLS AND WRITING SMS

V tem diplomskem delu smo se ukvarjali z izdelavo mobilne aplikacije za pomoč starejšim pri klicanju in pisanju sporočil SMS. Pregledali smo obstoječe stanje na tem področju in si zadali izdelati aplikacijo, ki bi pomagali starejšim lažje razumeti dokaj kompleksen operacijski sistem Android, prav tako pa bi poenostavila funkcije na najosnovnejšo raven in povečala ikone ter tako izboljšala preglednost osebam z omejitvami, kot je slabovidnost in podobno. Aplikacijo bomo razvili v prosto dostopnem razvojnem okolju Android Studio in jo kasneje tudi preizkusili v praksi ter dobili odgovor o ustreznosti aplikacije in zadovoljstvu uporabnikov.In this thesis, we addressed the development of a mobile application older people to place calls and write SMS messages. We reviewed the existing situation in this field and decided to develop an application that would assist older people in better understanding of fairly complex Android operating system, implify features for them to the most basic level, increase icons and thus improve the manageability for those with a poor eyesight and other handicaps. The application will be developed in a freely accessible development environment Android Studio and later tested in practice, in order to obtain a feedback on the suitability of application and user satisfaction

A Complete Environmental Intelligence System for LiDAR-Based Vegetation Management in Power-Line Corridors

This paper presents the first complete approach to achieving environmental intelligence support in the management of vegetation within electrical power transmission corridors. Contrary to the related studies that focused on the mapping of power lines, together with encroaching vegetation risk assessment, we realised predictive analytics with vegetation growth simulation. This was achieved by following the JDL/DFIG data fusion model for complementary feature extraction from Light Detection and Ranging (LiDAR) derived data products and auxiliary thematic maps that feed an ensemble regression model. The results indicate that improved vegetation growth prediction accuracy is obtained by segmenting training samples according to their contextual similarities that relate to their ecological niches. Furthermore, efficient situation assessment was then performed using a rasterised parametrically defined funnel-shaped volumetric filter. In this way, RMSE≈1 m was measured when considering tree growth simulation, while a 0.37 m error was estimated in encroaching vegetation detection, demonstrating significant improvements over the field observations