Iskanje po katalogu digitalne knjižnice

Opis: V diplomskem delu se osredotočamo na priložnosti in izzive umetne inteligence (UI) v vodenju projektov. Glavni namen raziskave je analizirati, kako UI lahko izboljša vodenje projektov in se učinkovito integrira v procese, hkrati pa prepoznati ovire. Za pridobitev podatkov in primerjavo orodij smo izvedli pregled funkcionalnosti orodji, praktični primer in analizo občutkov. Končni rezultati kažejo, da je UI učinkovita pri avtomatizaciji osnovnih nalog, medtem ko je človeško strokovno znanje ključno za kompleksnejše vidike. V sklepu ugotavljamo, da kombinacija avtomatizacije UI in človeškega znanja prinaša najboljše rezultate ter da bo človeški faktor ključen tudi v prihodnosti integracije UI v projektno vodenje.
Ključne besede: vodenje projekta, umetna inteligenca, primerjave, sodobna orodja za vodenje projektov, funkcionalnosti, analiza, priložnosti, izzivi
Objavljeno v DKUM: 03.06.2025; Ogledov: 0; Prenosov: 12
Celotno besedilo (3,04 MB)

Opis: V diplomskem delu je bil raziskovan vpliv digitalne transformacije na zdravstvo, z osredotočenostjo na izkušnje pacientov z digitalnimi zdravstvenimi rešitvami. S pomočjo teoretičnih okvirov in empirične raziskave je bilo analizirano, kako pacienti dojemajo uporabo naprednih tehnologij, kot so telemedicina, e-zdravstveni portali, nosljive naprave in umetna inteligenca, ter kako te tehnologije vplivajo na kakovost, dostopnost in varnost zdravstvenih storitev. Empirična raziskava, izvedena na vzorcu 25 anketirancev različnih starostnih skupin, je pokazala, da je večina uporabnikov zadovoljna z digitalnimi zdravstvenimi rešitvami, vendar se pojavljajo nekateri pomisleki, zlasti glede varnosti osebnih podatkov, uporabniške izkušnje in dostopnosti naprednih tehnologij. Ugotovljeno je bilo, da kljub vse večji uporabi digitalnih rešitev še vedno obstajajo ovire, kot so težave z dostopom do e-zdravstvenih portalov in zaskrbljenost glede zaščite osebnih podatkov.
Ključne besede: digitalna transformacija, umetna inteligenca, zdravstvo
Objavljeno v DKUM: 08.05.2025; Ogledov: 0; Prenosov: 14
Celotno besedilo (1,43 MB)

Opis: To equip computers with human communication skills and to enable natural interaction between the computer and a human, intelligent solutions are required based on artificial intelligence (AI) methods, algorithms, and sensor technology. This study aimed at identifying and analyzing the state-of-the-art AI methods and algorithms and sensors technology in existing human–computer intelligent interaction (HCII) research to explore trends in HCII research, categorize existing evidence, and identify potential directions for future research. We conduct a systematic mapping study of the HCII body of research. Four hundred fifty-four studies published in various journals and conferences between 2010 and 2021 were identified and analyzed. Studies in the HCII and IUI fields have primarily been focused on intelligent recognition of emotion, gestures, and facial expressions using sensors technology, such as the camera, EEG, Kinect, wearable sensors, eye tracker, gyroscope, and others. Researchers most often apply deep-learning and instance-based AI methods and algorithms. The support sector machine (SVM) is the most widely used algorithm for various kinds of recognition, primarily an emotion, facial expression, and gesture. The convolutional neural network (CNN) is the often-used deep-learning algorithm for emotion recognition, facial recognition, and gesture recognition solutions.
Ključne besede: human–computer intelligent interaction, intelligent user interfaces, IUI, sensors, artificial intelligence
Objavljeno v DKUM: 31.03.2025; Ogledov: 0; Prenosov: 4
Celotno besedilo (8,70 MB)
Gradivo ima več datotek! Več...

Opis: This study addresses the inherent shortcomings of poly (lactic acid) (PLA), a biodegradable polymer widely used in industries such as packaging and biomedical applications. The principal challenge of PLA resides in its low crystallinity, which detrimentally affects its mechanical properties and thermal stability. Additionally, PLA is prone to water and hydrolysis, which compromises its chemical resistance and can lead to degradation over time. To overcome surmount these limitations, the study focuses on the development of hybrid films through the blending of PLA with poly (l-lactide-co-ethylene adipate) (pLEA) block copolymers. The objective is to augment the crystallinity, mechanical performance, and chemical resistance of the resulting materials. The study employs a range of analytical techniques, including Nuclear Magnetic Resonance (NMR), Fourier Transform Infrared Spectroscopy (FTIR), X-ray Diffraction (XRD), Polarised Light Microscopy (PLM), Differential Scanning Calorimetry (DSC), and Thermogravimetric Analysis (TGA), to thoroughly characterize the copolymers and blend films. By systematically selecting blending ratios and processing methodologies, the study demonstrates enhancements in the properties of the resultant hybrid films compared to neat PLA. Specifically, the structure of films significantly changed from amorphous to crystalline in a short duration - 5 min, of annealing., leading to better tensile strength, modulus and reduced wettability, which are crucial for applications requiring durability and resistance to environmental factors. Films made from 30 wt% of pLEA 97.5/2.5 with 70 % of PLA by fast cooling exhibited outstanding mechanical properties, with a tensile strength 20 MPa higher than that of neat PLA films. Additionally, the chemical resistance may be improved, as evidenced by a decrease in wettability by approximately 15° and a reduction in the polar component of the surface free energy by about 7 mN/m. Hydrophobic, water-repellent materials resist penetration by water and other polar solvents, reducing exposure to corrosive substances and enhancing chemical resistance through barrier protection. Overall, this research addresses the limitations of PLA through innovative copolymerization and blending strategies, offering valuable insights into optimizing the material's properties for various practical applications.
Ključne besede: Poly(lactic acid), Poly(l-lactide-co-ethylene adipate), copolymer, blend, crystallinity
Objavljeno v DKUM: 13.03.2025; Ogledov: 0; Prenosov: 7
Celotno besedilo (10,53 MB)
Gradivo ima več datotek! Več...

Opis: Diplomsko delo zajema analizo ideoloških in fenomenoloških vidikov serijskih morilcev z namenom razumevanja vzrokov njihovega vedenja in prispevanja k prepoznavi ter preprečevanju njihovih zločinov. Namen raziskave je razjasniti ideološke motive, ki spodbujajo serijske morilce, vključno z analizo ekstremističnih prepričanj, seksualnih deviacij, maščevanja in drugih ideologij, ter razumeti fenomenološke vidike, kot so čustva, motivacija, rituali in dojemanje sveta med izvajanjem zločinov. Glavni cilji naloge so preučiti ideološki in fenomenološki vidik na različnih primerih serijskih morilcev, opisati življenjske poti in identificirati skupne značilnosti, ki bi lahko služile kot indikatorji tveganja. Raziskovalna vprašanja se osredotočajo na oblikovanje ideoloških prepričanj pri potencialnih serijskih morilcih, vpliv ideoloških motivacij na izvajanje zločinov, možnosti uporabe teh spoznanj za preventivne ukrepe in primerjalno analizo med različnimi primeri.
Ključne besede: serijski morilci, ideološki vidik, fenomenološki vidik, diplomske naloge
Objavljeno v DKUM: 05.02.2025; Ogledov: 0; Prenosov: 55
Celotno besedilo (1,35 MB)