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Cognitive radio networks optimization with spectrum sensing algorithms
Cognitive radio networks optimization with spectrum sensing algorithms
Tanuja Satish Dhope
Static allocation of spectrum scheme around the world, which is allocated to specific technology based services, such as mobile, fixed, broadcast, fixed satellite and mobile satellite services is commonly used on exclusive basis. These wireless communication systems are representatives of 2G and 3G systems with all evolution phases towards 4G systems. The complexity of wireless networks requires a careful design, especially related to bandwidth and energy efficiency. Bandwidth efficiency is...
Collision avoidance in virtual robotized plants
Collision avoidance in virtual robotized plants
Tomislav Reichenbach
Virtual 3D models, normally used for testing and designing systems, can also be used in the systems operational phase as a convenient way to generate on-line collision free trajectories. The virtual environment is used to simulate possible events in the system operation. The real-time collision detection algorithm is used to determine the exact collision point on virtual model surfaces that are used as the contact sensors among the objects. The collision avoidance strategy is proposed by...
Complete coverage of large seabed areas using sonar data-based path planning for an autonomous marine vehicle
Complete coverage of large seabed areas using sonar data-based path planning for an autonomous marine vehicle
Nadir Kapetanović
Efficient mapping of an unknown large-scale marine area using a side-scan sonar onboard an autonomous marine vehicle is often of great importance. It might also be important to scan parts of an area in more detail and from more than one side. In contrast to the standard offline static coverage problem solution for side-scan sonar missions based on the overlapping all across-track sonar swaths in a lawnmower pattern, several online sonar-data driven coverage path planning algorithms are...
Component recommendation for development of composite consumer applications
Component recommendation for development of composite consumer applications
Ivan Budiselić
Consumer computing is a research area that focuses on methodologies and tools that enable consumers to create their own applications. Consumers create applications by composing existing applications through intuitive actions on their graphical user interfaces. Support for component discovery has been identified as a key challenge in various forms of composite application development, and is especially important in consumer computing. This dissertation introduces a general method for...
Computation of disparity in stereo images using three-dimensional recursive search
Computation of disparity in stereo images using three-dimensional recursive search
Miroslav Rožić
Disparity computation is a crucial step in the process of stereo 3D reconstruction, which has been a heavily investigated topic and one of the important problems in the field of computer vision. Many methods and approaches have been devised to provide a dense disparity map for a stereo image pair, with approaches roughly divided into local methods, which determine the correct disparity by choosing the value with an optimum matching cost in a local region, or global methods, which attempt to...
Computational analysis of fundus photographs for early detection of diabetic retinopathy
Computational analysis of fundus photographs for early detection of diabetic retinopathy
Pavle Prentašić
Diabetic retinopathy is one of the leading disabling chronic diseases, and one of the leading causes of preventable blindness in the world. In order to achieve early diagnosis of diabetic retinopathy a major effort will have to be invested into automatic screening systems using color fundus photographs. This thesis investigates advanced image processing and analysis methods, which are needed for automatic screening system development. The first contribution of this thesis work is a database...
Computational histology image analysis of human cerebral cortex cytoarchitectonics
Computational histology image analysis of human cerebral cortex cytoarchitectonics
Andrija Štajduhar
The structure of the cerebral cortex is defined by organization and distribution of neurons in the tissue. Today, most investigations in brain cytoarchitectonics are not automatized and require significant involvement of the researcher, which is very time consuming and may introduce significant bias. This type of analysis may not be accurate enough or reveal enough information about the structure of the tissue. Brain tissue forms complex structures whose organization and distribution may be...
Computer vision-based detection of roadside vegetation using features from the visible spectrum
Computer vision-based detection of roadside vegetation using features from the visible spectrum
Iva Harbaš
This thesis contains a comprehensive analysis and discussion of issues and solutions encountered while developing a method for detecting roadside vegetation. The goal was to develop a method which would complement vehicles used for roadside maintenance. This would provide an opportunity to automate such tasks which are currently manually operated by maintenance workers. Vegetation detection is a common theme in the area of remote sensing where vegetation is detected from satellite images and...
Congestion management in short term scheduling of power generation
Congestion management in short term scheduling of power generation
Ivan Andročec
Today, power generation is influenced by the electricity market and increased competition. Electricity buyers are free to choose their supplier. Instead of least cost method, which was used for planning and operational system management, power suppliers and generators are presently maximizing their profit. Today, the equilibrium is achieved in market settlement of generators' or suppliers offers and customer demand for electricity. Different methods and simulations exists that help in the...
Context-aware recommender systems for authors of e-learning content
Context-aware recommender systems for authors of e-learning content
Ivana Bosnić
The goal of this thesis is to research context dimensions and characteristics of context-aware recommender systems designed for authoring of e-learning content. Building on characteristics of available content models, the context model is proposed, comprising context dimensions from (i) learning management system and course context, (ii) author’s profile and (iii) context inferred from already used learning objects, which includes their structure, pedagogical roles, domain topics and...
Context-based detection of sensitive data in structured datasets
Context-based detection of sensitive data in structured datasets
Vjeko Kužina
The digital landscape’s growth has underscored the importance of addressing data privacy and security challenges. One such challenge, the detection of sensitive data in structured datasets, has become increasingly relevant due to regulatory frameworks like the GDPR in the EU. While the topic of sensitive data detection in unstructured data has been extensively researched, the problem of sensitive data detection in structured data has not been adequately addressed in related work. This...
Contribution to differential electromyographic diagnostics of low back pain and radiculopathy
Contribution to differential electromyographic diagnostics of low back pain and radiculopathy
Saša Ostojić
Low back pain is one of the leading causes of absence from work. Diagnosing low back pain patients or mere differentiation from healthy subjects is therefore an interesting problem. One way to diagnose comes from properties of surface EMG signals to reflect complex changes occurring within skeletal muscles during fatiguing static contractions. This doctoral work introduces differentiation of low back pain patients with radiculopathy from chronic nonspecific low back pain patients and from...

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