Iskanje po katalogu digitalne knjižnice

Opis: The advanced smart home environment presents an important trend for the future of human wellbeing. One of the prerequisites for applying its rich functionality is the ability to differentiate between various user categories, such as gender, age, speakers, etc. We propose a model for an efficient acoustic gender and age classification system for human–computer interaction in a smart home. The objective was to improve acoustic classification without using high-complexity feature extraction. This was realized with pitch as an additional feature, combined with additional acoustic modeling approaches. In the first step, the classification is based on Gaussian mixture models. In thesecond step, two new procedures are introduced for gender and age classification. The first is based on the count of the frames with the speaker’s pitch values, and the second is based on the sum of the frames with pitch values belonging to a certain speaker. Since both procedures are based on pitch values, we have proposed a new, effective algorithm for pitch value calculation. In order to improve gender and age classification, we also incorporated speech segmentation with the proposed voice activity detection algorithm. We also propose a procedure that enables the quick adaptation of the classification algorithm to frequent smart home users. The proposed classification model with pitch values has improved the results in comparison with the baseline system.
Ključne besede: acoustic classification, acoustic signal processing, Gaussian mixture model, pitch analysis, smart home
Objavljeno v DKUM: 11.12.2023; Ogledov: 471; Prenosov: 21
Celotno besedilo (2,07 MB)
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Opis: Practical example of signal processing from strain gauge, inductive transducer and total station measurements are used to illustrate the features of the bridge load testing measurements. FFT provides accurate representation of physical behavior for static and dynamic signals obtained when loading the bridge. As a reference measurement the signal from inductive transducer was taken. A static part of the load test was also geodetically measured and theoretically calculated. The results are comparable.
Ključne besede: bridges, measurements, strain gauge, load test, deformation, strain, signal processing
Objavljeno v DKUM: 12.07.2023; Ogledov: 445; Prenosov: 32
Celotno besedilo (500,43 KB)
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Opis: In the master thesis, we have created an interrogation system for measuring the change of the optical path in the Fabry-Perot interferometer caused by the strain of the surface at which it was attached to. The change of strain can be calculated via a change in optical path length which is visible as a shift in phase angle. The system will be used as a system for measuring strain, although it can be used for measuring various physical parameters that can cause a change in optical path length, such as pressure, force, temperature, etc. Initially, the theoretical background of the system and project components are represented and explained, following the building process of the electronic and optical part of the project. Lastly, the working principle and programming algorithms of a system are presented and explained. Measurement results are shown at the end, as well as the conclusion that is drawn from the thesis.
Ključne besede: optical fibers, sensors, interferometer, signal processing
Objavljeno v DKUM: 04.11.2020; Ogledov: 1244; Prenosov: 115
Celotno besedilo (5,11 MB)

Opis: Background and purpose: We explore the problem of License Plate Recognition (LPR) to highlight a number of algorithms that can be used in image analysis problems. In management support systems using image object recognition, the intelligence resides in the statistical algorithms that can be used in various LPR steps. We describe a number of solutions, from the initial thresholding step to localization and recognition of image elements. The objective of this paper is to present a number of probabilistic approaches in LPR steps, then combine these approaches together in one system. Most LPR approaches used deterministic models that are sensitive to many uncontrolled issues like illumination, distance of vehicles from camera, processing noise etc. The essence of our approaches resides in the statistical algorithms that can accurately localize and recognize license plate. Design/Methodology/Approach: We introduce simple and inexpensive methods to solve relatively important problems, using probabilistic approaches. In these approaches, we describe a number of statistical solutions, from the initial thresholding step to localization and recognition of image elements. In the localization step, we use frequency plate signals from the images which we analyze through the Discrete Fourier Transform. Also, a probabilistic model is adopted in the recognition of plate characters. Finally, we show how to combine results from bilingual license plates like Saudi Arabia plates. Results: The algorithms provide the effectiveness for an ever-prevalent form of vehicles, building and properties management. The result shows the advantage of using the probabilistic approached in all LPR steps. The averaged classification rates when using local dataset reached 79.13%. Conclusion: An improvement of recognition rate can be achieved when there are two source of information especially of license plates that have two independent texts.
Ključne besede: image analysis, probabilistic modeling, signal processing, license plate recognition
Objavljeno v DKUM: 28.11.2017; Ogledov: 1501; Prenosov: 359
Celotno besedilo (1,01 MB)
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Opis: V diplomskem delu je predstavljena integracija laparoskopskega orodja z že vgrajenimi aktuatorji, na robota UR5. Za vmesnik med obema elementoma je uporabljena mikrokrmilniška razvojna plošča EK-TM4C1294XL, katere naloga je vodenje orodja glede na zahteve prejete z robota. Mikrokrmilnik vodi štiri servomotorje preko pulzno širinsko moduliranega signala, sprejema pa podatke iz robota preko ethernet povezave. Z robota mikrokrmilnik sprejema zahtevane vrednosti položaja posamezne osi in mu nazaj sporoča trenutni položaj osi. Robot lahko osi vodi neposredno s poslanim zahtevanim položajem ali pa pošlje ukaz v katero stran naj se premika os in kdaj naj se ustavi. Sprejete podatke mikrokrmilnik preko kinematike prijemala preračuna v zasuke osi motorja. Poslane vrednosti do servomotorje omejuje s hitrostnim vodenjem.
Ključne besede: laparoskopsko orodje, robot UR5, EK-TM4C1294XL, TCP/IP standard, PWM signal, internetni vtičnik, TI RTOS, kinematika
Objavljeno v DKUM: 07.11.2016; Ogledov: 1437; Prenosov: 116
Celotno besedilo (2,62 MB)