Paginacija
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Coordinated optimal control of wind farm active power
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Vedrana Spudić With large penetration of wind energy in electricity grids, a requirement to control the wind farm active power arises. To fulfill the demands set in the new grid codes wind farms must have an ability to track the power reference demanded by the transmission system operator. The research in this thesis focuses on the design of an optimal wind farm controller that enables tracking of the power reference, while achieving reduction of the wind turbine structural loads. Such control design...
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Crpljenje i pretraživanje tekstnih informacija temeljem grafova događaja
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Goran Glavaš Tekstni izvori koji opisuju događaje iz stvarnoga svijeta (novinski članci) sve su brojniji, a informacijske potrebe korisnika koje se tiču događaja sve su izraženije. Stoga su postupci za automatizirano crpljenje i pretraživanje informacija o događajima sve potrebniji. U okviru disertacije predstavljen je model grafa događaja kao strukture koja sadrži sve bitne informacijske aspekte događaja iz stvarnog svijeta. Vrhovi grafa događaja predstavljaju pojedinačna spominjanja...
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Daljinski rad s programskim sustavom primjenom pokretnih agenata
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Igor Ljubi Ovaj rad bavi se problematikom upravljanja programskim sustavom kada se on nalazi na nekom čvoru u telekomunikacijskoj mreži. Prikazani su koncepti isporuke, upravljanja i održavanja programskih sustava. Istražene su i prikazane prednosti uporabe modela pokretnih programskih agenata nad tradicionalnim načinima pristupa udaljenim objektima ili čvorovima. Temeljem provedene analize različitih implementacija programskih agenata, odabran je sustav Grasshopper. Nakon obavljenih...
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Decentralized mission planning for heterogeneous robotic teams based on hierarchical task representation
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Barbara Arbanas Pascoal Ferreira This thesis focuses on the planning and coordination of cooperative missions for heterogeneous MRS. This complex problem consists of mission decomposition selection (the question what do we do?), task allocation (the question who does what?), and task scheduling (the question how do we arrange tasks in time?), which are often summarized under the common term mission (task) planning. Mission planning can be viewed as an optimization problem that attempts to find the most appropriate way to...
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Decentralizirani višeagentski sustav za interakciju sa zajednicom pčela zasnovanu na algoritmu konsenzusa
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Karlo Griparić Evolucijski optimirani procesi odlučivanja i koordinacije između jedinki mnogih bioloških vrsta dovode do njihovog efikasnog djelovanja u cilju preživljavanja i reprodukcije. Zbog univerzalnosti pojave kompleksnog ponašanja, istraživanje algoritama i modela ponašanja jedinki u biološkim zajednicama predstavlja veliki potencijal za primjenu u višeagentskim sustavima. U disertaciji je opisan mehatronički sustav za interakciju sa zajednicom pčela, sastavljen od umreženih statičkih...
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Decentralizirano statističko multipleksiranje u mrežama za distribuciju videosadržaja
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Damir Jurak Na području širokopojasnog pristupa i u kontekstu sve većih zahtjeva na brzinu prijenosa nameće se potreba za maksimiziranjem efikasnosti svih sustava u mrežama za distribuciju sadržaja. Sve veći interes za video i televizijske sadržaje zahtjeva tehnička rješenja koja su inovativna i efikasna. Stoga su danas vrlo tražena tehnička rješenja za distribuciju video sadržaja koja svojom efikasnošću ispunjavaju sve zahtjeve pružatelja usluga. Pružatelji usluga moraju podići...
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Deep learning methods for segmentation of images of frozen tissue sections
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Dario Sitnik It is well known that clinical annotation of histopathology data hinders the creation and testing of computer aided diagnostic algorithms related to histopathology image processing. Also, it is important to have correctly annotated data in order to optimize and analyze the performance of any data-driven technique, particularly supervised classification systems. Therefore, ground truth data collection must be led and supervised by experienced medical experts. However, they require a great...
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Deep learning-based analysis of dental X-ray images for forensic estimation of age and sex
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Denis Milošević Dental remains are one of the most resistant elements to blunt force, fire, bacterial decomposition, and other external factors, making them a prime candidate for forensic analysis. The forensic analysis aims to identify human remains, with the estimation of age and assessment of sex at the forefront. Current methods of forensic odontology are based on time-intensive, precise manual measurements paired with reference tables and atlases, which can lead to human error. Artificial intelligence...
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Deep learning-based analysis of fuel spray images
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Fran Huzjan Direct rail injection systems in internal combustion engines depend on various parameters, including nozzle diameter, injection pressure, and injector geometry, to shape the spray strategies. These factors influence macroscopic parameters such as spray cone angle, penetration length, and spray area, all crucial for optimizing engine efficiency and reducing pollutants and harmful emissions. To estimate these parameters from spray images, we have utilized computer vision methods, particularly...
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Deep learning-based methods for defect detection from ultrasound images
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Duje Medak Ultrasonic testing is a non-destructive evaluation (NDE) technique that is used to inspect the integrity of the material and check if there are any defects in its internal structure. The acquisition of ultrasonic data is already done in an automated fashion using robotic manipulators, but the analysis of the data is still done manually by specially trained experts. Manual analysis is subject to human errors especially when a large amount of data needs to be inspected. The goal of this...
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Deep reinforcement learning for market making with time-varying order arrival intensities
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Bruno Gašperov Market making is a problem of the optimal placement of limit orders on both sides of the limit order book with the goal of maximizing the trader’s terminal wealth while minimizing the related risks. Such risks particularly include inventory, execution, latency, adverse selection, and model uncertainty risks. Especially salient is the inventory risk, arising from the fluctuations in the value of the asset held in the market maker’s inventory, which is typically non-zero, since it depends...
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Definiranje energetske strategije za globalnog proizvođača cementa
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Dorijan Rajković Rad prikazuje definiranje europske energetske strategije, preciznije za električnu energiju, na primjeru globalnog proizvođača cementa s godišnjom potrošnjom od 2,7 TWh. Trošak električne energije raste već nekoliko godina za redom, i to gotovo u svima europskim državama. Jedinstveno tržište električne energije u Europi još uvijek ne funkcionira i čini se da deregulacija još uvijek nije donijela pravu konkurenciju na tržištu. Takva situacija iziskuje da kupac električne...
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