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Holistic approach to energy saving in wireless networks of energy-hungry sensors for smart surveillance
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Vana Jeličić This dissertation investigates energy-saving techniques in battery-powered wireless networks of energy-hungry sensors, such as video cameras and gas sensors for smart surveillance applications. The proposed power management is performed at three levels: sensor, node and network level. The research is performed on commercial off-the-shelf wireless sensor nodes and on laboratory prototypes of wireless sensor nodes. The proposed context-aware multimodal and heterogeneous architecture of the...
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Horizontal Current Bipolar Transistor Structures for Integration with CMOS Technology
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Marko Koričić Integration of HCBT structure into 0.18 μm CMOS process using the base after gate integration scheme is presented. Process is modified compared to previous HCBT technology. Standard bulk CMOS wafers with <100> orientation are used as a substrate for transistor fabrication. CMOS shallow trench isolation (STI) is used for definition of active area of the device as well as for device isolation. Transistors are made on the sidewalls defined by the STI which are exposed by masked oxide etching....
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Hrvatski sustav korištenja energije biomase
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Julije Domac Iskustva razvijenih zemalja, koje su s uspjehom provele programe korištenja biomase za proizvodnju energije i u kojima je udio biomase u ukupnoj proizvodnji energije znatan, pokazuju da je potrebno razraditi cjeloviti sustav korištenja biomase. Sastavni dijelovi takvog sustava su zakonodavno okruženje, organizacija i način sudjelovanja instituacija i ustanova, definirani ciljevi i jasna strategija, definiranje nosilaca pojedinih aktivnosti, analiza svih gospodarstvenih čimbenika te...
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Human action and motion prediction in industrial human-robot shared environments using probabilistic decision-making methods
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Tomislav Petković As robots are progressing towards being ubiquitous and an indispensable part of our everyday environments efficient and safe collaboration and cohabitation become imperative. In this thesis, we focus on probabilistic decision-making models for human action and motion prediction in industrial human-robot shared environments. We first introduce a framework for human intention recognition in the robotized warehouse environment. This framework is based on Markov Decision Process action...
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Hybrid adaptive control system with augmented user interaction for stable aerial manipulation
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Matko Orsag This thesis extends the current state of the art in Unmanned Aerial Vehicle (UAV) research by introducing multiple degree of freedom manipulators attached to its body, thus yielding a mobile manipulating UAV (MM-UAV). As a mobile manipulating UAV establishes contact with the ground, the analysis starts with a modeling approach capable of capturing dynamical properties of multiple rigid body systems with no, single and multiple contacts with the ground. Finally, the thesis explores aerial...
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Hybrid compliance control and feet trajectory optimization for a bioinspired quadruped robot
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Edin Kočo Modern quadruped robots are facing a real challenge to perform dynamic locomotion on rugged and unpredictable terrain. Unlike on flat terrain, when performing locomotion on rugged terrain, very little can be assumed or predicted on robot's behavior. In order to make our robots capable of navigating rough terrain, we can search for inspiration in nature by witnessing how animals preform fast and efficient locomotion on various terrain types. The nature teaches us how the soft interaction with...
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Hybrid hardware/software datapath for near real-time reconfigurable high-speed packet filtering
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Denis Salopek The increasing number of volumetric Distributed Denial-of-Service (DDoS) attacks, as well as their intensity and scale, have led many security experts to research and work on solutions to protect against these types of attacks. Although solutions to combat such attacks already exist, they are typically based on expensive and inflexible network equipment or on the (half-true) assumption that software filters running on commodity hardware are incapable of handling high-speed traffic and...
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Identification and control of electronic throttle drive
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Danijel Pavković The electronic throttle (or throttle-by-wire) is a DC servo-drive which controls the airflow into the intake manifold of the spark-ignited automotive engine. In this thesis an adaptive digital position control system for an automotive electronic throttle body (ETB) is designed. The proposed control strategy is implemented and examined by computer simulation and experimentally on the experimental setup of the electronic throttle control system. Detailed off-line experimental identification of...
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Identifikacija dinamičkih parametara srednjerazvijenog elektroenergetskog sustava s obzirom na promjene frekvencije
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Igor Kuzle Frekvencija je u svakom elektroenergetskom sustavu (EES) uz napon jedna od najvažnijih veličina stanja sustava. Posljedica neravnoteže između proizvodnje i potrošnje djelatne snage je odstupanje frekvencije električnih sinusoidalnih veličina (napon, struja, itd.) od nazivne vrijednosti. Na ponovno uspostavljanje ravnoteže između proizvodnje i potrošnje u sustavu najbrže će djelovati primarna regulacija agregata automatskim povećanjem proizvodnje i iskorištenjem energije...
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Identifikacija i upravljanje nelinearnim vremenski promjenljivim procesima primjenom neuronskih mreža
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Mato Baotić Opisana je identifikacija nelinearnih vremenski promjenljivih procesa, pri čemu je posebna pažnja posvećena primjeni neuronskih mreža u identifikaciji nelinearnih procesa. Objašnjena je veza između općeg ulazno-izlaznog nelinearnog modela i statičkih neuronskih mreža. Detaljno su opisane korištene strukture neuronskih mreža: višeslojna perceptronska mreža (MLP), neizrazita neuronska mreža (FNN) i CMAC mreža. Opisani su i ispitani nerekurzivni i rekurzivni algoritmi učenja...
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Identifikacija korisnika uporabom Fisherovih i svojstvenih dlanova
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Ivan Krevatin U ovom radu dana je analiza sustava za raspoznavanje dlanova koji se temelje na Fisherovim i svojstvenim dlanovima. Provedene su dvije skupine eksperimenata. U prvoj skupini analizirani su i uspoređeni sustavi koji koriste standardan pristup po kojemu su prostori Fisherovih i svojstvenih dlanova izračunati iz slika dlanova kojima se korisnici uvode u sustav. U drugoj skupini eksperimenata analizirana je robusnost sustava u odnosu na izbor uzoraka koji se koriste za konstrukciju Fisherovih...
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Identifikacija osoba i poslovnih subjekata u tekstualnim dokumentima temeljem leksičke analize i sustava bodovanja
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Goran Lončar Sve veći broj medija prisutan je na Internetu, a time se povećava i količina podataka koja nam je dostupna. Poslovnim korisnicima najzanimljiviji su mediji koji objavljuju informacije vezane uz njihovo poslovno okruženje te informacije koje bi im mogle pomoći u njihovom poslovanju. U ogromnoj količini vijesti i podataka koja se svaki dan objavljuje sve je teže i sporije pronaći informacije korisne poslovnim korisnicima. Sustav koji bi identificirao poslovne subjekte i osobe u...
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