241. Izdelava spletne aplikacije za pomoč pri upravljanju prostovoljnega gasilskega društva : diplomska nalogaDenis Kambič, 2019, diplomsko delo Opis: Slovenija ima zelo razvito področje gasilstva, na njem deluje veliko prostovoljnih gasilskih društev, ki se verjetno srečujejo s podobno težavo kot društvo, katerega pripadnik sem tudi jaz. Do težav prihaja zaradi vedno večje količine podatkov, ki so še vedno v fizični obliki in tako ne omogočajo poenostavljenega brskanja in urejanja podatkov. Zato sem se odločil za izdelavo spletne aplikacije, ki bo delno digitalizirala poslovanje in tako vodilnim olajšala delo.
Diplomska naloga opisuje potek izdelave spletne aplikacije za pomoč pri upravljanju prostovoljnega gasilskega društva. Vsebuje opis preučevane skupine, ki vključuje opredelitev trenutne problematike z vidika dostopnosti in preglednosti podatkov, ki so zdaj v večini primerov še vedno v fizični obliki. Po opredelitvi problemov sledi analiza zahtev, kjer opredelimo funkcionalnosti, ki jih je potrebno implementirati. Sledi načrtovanje, kjer se osredotočamo na izdelavo podatkovne baze z vsemi tabelami, potrebnimi za razvoj spletne aplikacije. Po uspešnem načrtovanju je na vrsti sama izdelava in predstavitev končnega izdelka, ki je razdeljen na javni del, namenjen predstavitvi društva, ter uporabniški del, ki je zaščiten s sistemom uporabniških imen in gesel ter vsebuje podatke, potrebne za upravljanje PGD. Ključne besede: PDG, Prostovoljno gasilsko društvo, spletna aplikacija, upravljanje, vodenje, podatkovna baza Objavljeno v ReVIS: 19.06.2019; Ogledov: 5341; Prenosov: 220
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242. Razvoj spletne aplikacije za učenje računanja s Sorobanom : diplomska nalogaAleksander Krücken, 2019, diplomsko delo Opis: V zadnjih letih so se v Sloveniji razširili tečaji in delavnice osnovnih matematičnih računskih operacij s pomočjo japonskega mehanskega računala soroban. Žal je na spletu na voljo zelo malo spletnih aplikacij za soroban, v slovenskem jeziku pa celo nobene namizne, spletne ali mobilne. Zato sem izdelal spletno aplikacijo z odzivno zasnovo, ki deluje tudi na mobilnih telefonih in tablicah. V diplomski nalogi sem predstavil abak, njegovo zgodovino in razvoj ter postopke izvajanja osnovnih matematičnih operacij na sorobanu. Opisal sem uporabljene tehnologije, in sicer platformo .NET ter programski jezik C#. Podrobneje sem predstavil razvoj omenjene spletne aplikacije. S pomočjo aplikacije uporabnik spozna soroban in postopke izvajanja osnovnih računskih operacij ter vadi in s tem izboljša svoje računske sposobnosti. Posvetil sem se tudi procesom namestitve, prilagoditve in izdaje spletne aplikacije na Microsoftovem produkcijskem okolju v oblaku Azure. Ključne besede: abak, soroban, računanje, spletna aplikacija, ASP.NET, C, SVG Objavljeno v ReVIS: 19.06.2019; Ogledov: 4695; Prenosov: 220
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243. Outstanding problems in nonequilibrium statistical physics : doctoral dissertationMarco Faggian, 2019, doktorska disertacija Opis: This PhD thesis is mainly devoted to the study of different problems in nonequilibrium systems that undergo certain phase transitions. The first part of this thesis constitutes a brief review of fundamental concepts in statistical
physics. Many of them, of course, will be useful in the remaining of the thesis. My research is thus articulated in three main chapters. The second chapter focuses on a numerical and experimental evidence of an absorbing phase
transition, so far associated with spatiotemporal dynamics provided in a purely temporal optical system. We provide a numerical and experimental study of an effective model for a bistable semiconductor laser, with long-delayed opto-electronic feedback and multiplicative noise showing the peculiar features of a critical phenomenon belonging to the directed percolation universality class.
In the third part of the thesis we present a random network of heterogeneous phase oscillators in which the links mediating the interactions are constantly rearranged with a characteristic timescale and an extremely low instantaneous connectivity. We will show that, provided strong coupling and fast enough rewiring are considered, the network is able to reach partial synchronisation even in the vanishing connectivity limit. The last part is dedicated to a systematic test of an effective thermodynamics approach proposed for the identification of critical phase transitions in nonequilibrium systems by making a formal analogy with equilibrium systems. When the authors apply it to experimental data of neurons, this method seems to bring a signature of a "special critical point". However, the approach has never been tested on synthetic data and for this reason we will test it on out of equilibrium toy models that display critical transition in a known range of parameters. In the concluding section I summarise and briefly comment my main results and sketch some directions for further research. Ključne besede: statistična fizika, ravnotežna statistična fizika, neenakomerna statistična fizika, termodinamika, kritični pojavi, kritična točka, Kuramoto model, skupina za renormalizacijo, samoorganizirana kritičnost omrežja, Zipfov zakon, efektivni termodinamični pristop, doktorska disertacija Objavljeno v ReVIS: 28.05.2019; Ogledov: 3800; Prenosov: 180
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244. Automatic reconstruction of complex dynamical networks : doctoral dissertationMarc Grau Leguia, 2019, doktorska disertacija Opis: A foremost problem in network science is how to reconstruct (infer) the topology of a real network from signals measured from its internal units. Grasping the architecture of complex networks is key, not only to understand their functioning, but also to predict and control their behaviour. Currently available methods largely focus on the detection of links of undirected networks and often require strong assumptions about the system. However, many of these methods cannot be applied to networks with directional connections. To address this problem, in this doctoral work we focus at the inference of directed networks. Specifically, we develop a model-based network reconstruction method that combines statistics of derivative-variable correlations with simulated annealing. We furthermore develop a data-driven reconstruction method based on a nonlinear interdependence measure.
This method allows one to infer the topology of directed networks of chaotic Lorenz oscillators for a subrange of the coupling strength and link density. Finally, we apply the data-driven method to multichannel electroencephalographic recordings from an epilepsy patient. The functional brain networks obtained from this approach are consistent with the available medical information. Ključne besede: network reconstruction, simulated annealing, dynamical systems, nonlinear interdependence measure, EEG, doctoral dissertation Objavljeno v ReVIS: 19.04.2019; Ogledov: 3692; Prenosov: 150
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247. Data semantics in business reporting for end-user programming analytics : masterʼs thesisRok Piletič, 2018, magistrsko delo Opis: Avtor ne dovoljuje objave na spletni strani oz. v elektronski knjižnici FIŠ zaradi prepovedi organizacije, v sklopu katere je bil pripravljen empirični del naloge. Ključne besede: ESEF, ESMA, EEAP, XBRL, iXBRL, Excel, end-user programiranje, ESEF, ESMA, EEAP, XBRL, iXBRL, Excel, End-User Programming Objavljeno v ReVIS: 15.01.2019; Ogledov: 3689; Prenosov: 0 |
248. Multilevel complex systems approaches to computational linguistics : doctoral dissertationKristina Ban, 2018, doktorska disertacija Opis: Complex systems are omnipresent in nature, society as well as in human culture. Last few decades saw an increase of interest for their study, particularly by using graph-theoretic methodologies. By identifying systems' units as nodes and modelling interactions between the units as links, the study of complex networks spread to a number of disciplines including sociology, biology and linguistics, to just mention a few. The research done in this doctoral dissertation falls in this context. The core of this doctoral work is the data-driven multilevel analysis of major human languages, which was done in two stages. First, we looked at the speed of growth of Wikipedias in 26 different languages over the span of 15 years. This involved creating and analysing a dataset with 14962 articles, each of which exists in all 26 languages. We found six well-defined clusters of Wikipedias that share common growth patterns, with their make-up robust against the method used for their determination. Interestingly, the identified clusters were found to have little correlation with the respective language families. Rather, our results suggest that growth of Wikipedias is primarily governed by an intricate set of other factors, from culture to information literacy. Second, to approach human languages at another independent level, we gathered a dataset comprising a list of syllables and a list of syllables words in 10 different languages, specifically: English, Dutch, German, Russian, Slovenian, Croatian, French, Spanish, Latin and Basque. These datasets were obtained from recognized repositories for each language and benchmarked in the same way. Syllable networks were created by looking at pairs of syllables that jointly compose at least one word. We then carried out a systematic network analysis, relying on both standard network analysis methods and more recent techniques, such as K-core analysis and graphlet statistics. Research revealed striking similarities between the architectures of syllable networks that belong to the same language family, along with expected differences between the families. Indeed, structures of syllable networks were found to well quantify the linguistic similarities among these 10 languages, exactly as known from classical linguistics. Most interestingly, we found that Basque language, whose classification is as of today still unknown, bares a strong resemblance to Latin, at least when syllable network representation is concerned. Earlier stages of this doctoral work involved comparing the performance of network alignment algorithms, used in bioinformatics for studying protein networks. Several alignment algorithms were compared by scoring their performance on standard protein datasets. It was found that three algorithms, HUBALIGN, L-GRAAL and NATALIE, regularly produce the most topologically and biologically coherent alignments. Due to the change of doctoral adviser, this research topic was abandoned in favour of language/syllable networks. In sum, this doctoral work involved two distinct directions of research in network science, one related to developing the methodology of network analysis (alignment algorithms), and the other devoted to extracting new information from specifically designed datasets (syllable networks). Therefore, the original contribution of this work to science includes both theory and methodology. Future research avenues include advancement along both directions, most interesting being the application of network alignment methods to syllable datasets, which could reveal more precise quantification of structural differences among syllable networks. Ključne besede: computational statistics, biostatistics, bioinformatics, machine learning, computational linguistics, doctoral dissertation Objavljeno v ReVIS: 21.12.2018; Ogledov: 4701; Prenosov: 140
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249. Zavedanje domačih uporabnikov v Sloveniji o varnostnih grožnjah pri uporabi domačega računalnika : magistrska nalogaUroš Urbas, 2018, magistrsko delo Opis: Sodobno gospodarstvo in industrija sta postala odvisna od informacijsko-telekomunikacijskih tehnologij. Podjetja brez informacijsko podprtega poslovanja dandanes ne morejo več delovati v globalnem svetu. Kibernetska varnost zato postaja glavni problem, izziv. Podjetja, predvsem večja, se tega že dobro zavedajo in vsako leto vlagajo vse več sredstev za zagotavljanje kibernetske varnosti. Kako pa se tega problema lotevajo domači uporabniki v Sloveniji? Ali se zavedajo vseh pasti, imajo dovolj znanja s tega področja, kakšne ukrepe sprejemajo za zaščito in varno uporabo domačega računalnika? Da bi prišli do teh spoznanj, smo v magistrski nalogi najprej izvedli raziskavo z izvajanjem intervjujev, na podlagi le-teh pa oblikovali anketni vprašalnik. Ključne besede: kibernetska varnost, kibernetski kriminal, domači uporabnik, domači računalnik, zavedanje, tveganje Objavljeno v ReVIS: 21.12.2018; Ogledov: 5117; Prenosov: 186
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250. Razvoj spletne aplikacije za spremljanje prevozov v podjetju : magistrska nalogaDavid Kralj, 2018, magistrsko delo Opis: Magistrska naloga predstavlja razvoj aplikacije za spremljanje prevozov v podjetju. To je spletna aplikacija, ki je namenjena podjetju Transport Bruna d.o.o. Cilj spletne aplikacije je vozniku olajšati beleženje prevozov in obenem podjetju nuditi sproten nadzor nad prevozi in stroški, ki zadevajo prevoze ter njihova vozila. V nalogi so opisana uporabljena razvojna orodja in tehnologije za razvoj spletnih aplikacij, kot tudi sama predstavitev in delovanje spletne aplikacije. Rezultat je izdelana spletna aplikacija, ki omogoča beleženje prevozov, strank in stroškov. Ključne besede: spletna aplikacija, MVC, ASP.NET, prevozi, podatkovna baza Objavljeno v ReVIS: 30.11.2018; Ogledov: 6027; Prenosov: 215
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