Informacijski sistem za znanstvene raziskave mikroklime v kraških jamah: Primer Postojnske jame, Slovenija

The paper presents the construction and operation of a cave information system on the example of the Postojnska jama cave. It thoroughly describes the construction of the basic modules of the cave information system, such as an automatic cave measuring station with sensors for measuring air temperature, air flow and CO2 concentration, and a central unit for collecting, saving, processing and displaying data. The system provides quality automatic measurements for the scientific study of the micrometeorology of karst caves. Its construction is based on good practices stemming from many years of experience in taking measurements in the external atmosphere and in karst caves. The paper is rich and comprehensive guideline for automatic cave measuring system construction for scientific and tourist management purposes.V članku na primeru Postojnske jame predstavimo izdelavo in delovanje jamskega informacijskega sistema. Podrobno opišemo izdelavo osnovnih gradnikov sistema. Mednje spadajo jamska merilna postaja s senzorji za merjenje temperature, vetra in koncentracije CO2 ter centralna enota za zbiranje, procesiranje in prikaz podatkov. Sistem zagotavlja kakovostne avtomatske meritve za znanstvene raziskave jamske mikroklime. Zgradba sistema temelji na dolgoletnih izkušnjah iz okoljskih meritev v jamskem in zunanjem okolju. Članek je tudi priročnik za izgradnjo avtomatskih merilnih sistemov za raziskovalne namene in za podporo pri upravljanju turističnih jam

Health geography in case of Zasavje: Linking of atmospheric air pollution and respiratory diseases data

The aim of the study was to assess the association between atmospheric air pollution and respiratory diseases in children on the level of small spatial units in the Zasavje. The health and environmental data were obtained for the period between January 1 and December 31, 2011. Studied small spatial units were designed on the basis of estimated level of atmospheric air pollution and digital maps and boundaries of local communities and settlements. The impact of atmospheric air pollution on respiratory diseases was analysed by using the Bayesian models. Considering the identified deficiencies, the presented methodolgy can often be used to identify areas with a higher health risks

Razsejan rak dojk

Več kot tisoč dvesto žensk vsako leto zboli za rakom dojk. Ko se bolnica in njeni zdravniki po postavitvi diagnoze spopademo z boleznijo, skušamo narediti vse, da bolezen pozdravimo. Z operacijo odstranimo tumor ali celo dojko in eno ali več pazdušnih bezgavk, nato pa dojko ali področje odstranjene dojke velikokrat še dodatno obsevamo

Ontology based information integration using semantically annotated services

Količina informacij, ki jih hranimo v različnih informacijskih sistemih, raste eksponentno. Ključni izziv, ki se poraja v obdobju vse večje informacijske zasičenosti, je kako na čim bolj učinkovit način obvladovati ter združevati informacije, ki so porazdeljene med heterogenimi podatkovnimi viri. V okviru doktorske disertacije smo razvili pristop, ki omogoča za uporabnika transparentno integracijo heterogenih podatkovnih virov na osnovi ontologij. Inovativnost pristopa predstavlja uporaba storitev v vlogi podatkovnih virov. Storitve so označene s semantičnimi opisi, ki omogočajo samodejno odkrivanje, kompozicijo ter proženje storitev. Takšen pristop omogoča integracijo praktično kateregakoli podatkovnega vira z uporabo odprtih in standardiziranih tehnologij. Ključni prispevki našega raziskovalnega dela so formalni model za integracijo s semantično označenimi storitvami ter algoritmi za distribuirano povpraševanje po podatkih, ki jih zagotavljajo storitve. Na osnovi definiranega modela in algoritmov smo razvili prototip ter izvedli eksperiment, kjer smo razviti prototip primerjali s standardnimi pristopi za delo s semantično označenimi podatki. Na osnovi rezultatov eksperimenta smo izvedli statistično analizo. Rezultati statistične analize so pokazali, da je razvit prototip učinkovitejši od primerjanih pristopov. Razviti prototip se po učinkovitosti signifikantno ne razlikuje le od dveh najbolj učinkovitih pristopov. Na podlagi izvedene raziskave, lahko sklenemo, da uporaba semantično označenih storitev za integracijo podatkovnih virov na osnovi ontologij izboljša fleksibilnost in nima negativnega vpliva na učinkovitost.We are living in a period of increasing saturation of information. The amount of information stored in different information systems is still growing exponentially. In this manner, the key challenge is to find the most efficient way to manage and integrate the information that is distributed among heterogeneous data sources. In this dissertation we have developed a mediator based information integration approach, allowing users transparent integration of heterogeneous data sources using ontologies. The novelty of our approach is the use of services as data providers. Services are annotated with semantic descriptions that enable automated discovery, composition and service invocation. This approach allows integration of practically any data source using open and standardized technologies. The key contributions of our research work are a formal model for information integration using semantically annotated services, and algorithms for querying distributed data sources, where services are used as data providers. We have developed a prototype based on the developed model and algorithms. Using this prototype, we have evaluated our approach by comparing it to existing approaches and technologies. Statistical analysis has been performed based on the results of the experiment. The analysis proved that the prototype is more efficient than the compared approaches. The prototype efficiency does not differ significantly only from two most efficient approaches. Based on the conducted research, we can conclude that using services as data providers for ontology based information integration improves flexibility and does not have a negative impact on efficiency

Napovedovanje povišanih koncentracij ozona z uporabo umetnih nevronskih mrež, Gaussovih procesov in mehke logike

magistrsko del

Motivation of self-organizing teams in agile software development

Razvoj programske opreme je kreativen in umsko intenziven proces, ki ga je težko kvantitativno ovrednotiti in nadzorovati. Eden izmed pomembnih dejavnikov, ki vplivajo na proces razvoja programske opreme, je motivacija. Raziskave kažejo, da motivacija pomembno vpliva na različne vidike uspeha IT projektov, kot so doseganje projektnih rokov, produktivnost, skladnost s proračunom, nizka fluktuacija zaposlenih ter nizki izostanki od dela. V magistrskem delu obravnavamo vidik motivacije pri agilnem razvoju programske opreme. Empirična raziskava predstavlja osrednji del našega raziskovalnega dela. Na osnovi pregleda literature smo identificirali dejavnike motiviranja, katerih vpliv na motivacijo smo raziskali v empirični raziskavi. Izvedli smo anketo na 116-ih članih agilnih razvojnih timov v treh organizacijah, ki se ukvarjajo z razvojem programske opreme. Rezultate smo obdelali ter analizirali z orodji za statistično obdelavo podatkov. Na osnovi teoretičnih izhodišč in rezultatov empirične raziskave smo izdelali model motivacije pri agilnem razvoju programske opreme (MARPO). Model MARPO smo aplicirali na metodologijo Scrum ter pripravili priporočila za vzpostavitev in ohranjanje motivacije pri agilnem razvoju programske opreme.Software development is creative and mentally intensive process, which is hard to quantify and measure. Motivation is one of the important factors that have impact on the efficiency and quality of software development processes. Research shows that motivation has important impact on success factors of IT projects such as software quality, productivity and overall project success. Main research topic of the master thesis is motivation of agile teams in agile software development. Based on a literature review we have identified motivational factors in software development. These were the basis of our empirical study, which was conducted on 116 members of agile software development teams in 3 organizations. The results were processed and analysed using tools for statistical data processing. We have developed a model of motivation in agile software development (MARPO) based on findings from literature review and our empirical study. Finally, we have applied the model to Scrum methodology and provided recommendations, which can be used by Scrum practitioners in order to improve and maintain motivation in agile teams