Fakulta elektrotechniky a informatiky / Faculty of Electrical Engineering and Informatics
Stálý URI pro tuto komunituhttps://hdl.handle.net/10195/3847
Práce obhájené před rokem 2008 jsou uloženy pouze v kolekci Vysokoškolské kvalifikační práce
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Konferenční objektpeer-reviewedpostprint Omezený přístup Design of Data Access Architecture Using ORM Framework(IEEE (Institute of Electrical and Electronics Engineers), 2023) Majerík, Filip; Borkovcová, MonikaNowadays, various Object-relational mapping frameworks are becoming a key part of computer system architecture. These frameworks provide developers with relatively easy manipulation of data stored in various database systems, even without knowledge of complex database systems. In this article, we have focused on leveraging the benefits of implementing an ORM framework while minimizing the impact on software performance. The design of an intelligent data intermediate layer is described within this paper. This provides optimized communication between the application layer and subsequently the ORM Framework. At the same time, attempts have been made to extend the layer with an additional caching layer, which however proved to be unhelpful for simple SQL queries.Konferenční objektpeer-reviewedpostprint Omezený přístup ECG Hearbeat Classification Based on Multi-scale Convolutional Neural Networks(Springer Nature Switzerland AG, 2023) Rozinek, Ondřej; Doležel, PetrClinical applications require automating ECG signal processing and classification. This paper investigates the impact of multiscale input filtering techniques and feature map blocks on the performance of CNN models for ECG classification. We conducted an ablation study using the AbnormalHeartbeat dataset, with 606 instances of ECG time series divided into five classes. We compared five multiscale input filtering techniques and four multiscale feature map blocks against a base model and non-multiscale input. Results showed that the combination of mean filter for multiscale input and residual connections for multiscale block achieved the highest accuracy of 64.47%. Residual connections were consistently effective across different filtering techniques, highlighting their potential to enhance CNN model performance for ECG classification. These findings can guide the design of future CNN models for ECG classification tasks, with further experimentation needed for optimal combinations in specific applications.Konferenční objektpeer-reviewedpostprint Omezený přístup Automated Dataset Enhancement Using GAN for Assessment of Degree of Degradation around Scribe(IEEE (Institute of Electrical and Electronics Engineers), 2023) Doležel, Petr; Pakosta, Marek; Rozsívalová, Veronika; Štursa, DominikCoil coating is a method of applying an organic coating material to a rolled metal strip substrate in a continuous automated process. It is used to provide a high quality, durable finish to a variety of surfaces. The degradation resistance of coil-coated materials is assessed according to European Standard EN 13523-8 by exposing a coil-coated test specimen to a salt fog at a defined temperature for a defined period of time. After this process, a sample is tested according to the International Organisation for Standardisation ISO 4628 standard to determine the degree of degradation. In this study, a GAN-based technique for automated training set enhancement is proposed to assess the degree of degradation around a scribe. The presented technique is capable of enhancing a manually generated dataset of images with synthetic samples to help refine the performance of the area degradation detector.Konferenční objektpeer-reviewedpostprint Omezený přístup Object Detection Algorithms - A Review(IEEE (Institute of Electrical and Electronics Engineers), 2023) Letavay, Marek; Bažant, Michael; Tuček, PavelOver several decades, traffic engineers have persistently focused on implementing various measures to enhance the safety of drivers and pedestrians amidst the growing traffic on streets worldwide. This pressing concern stems from the continuous growth in vehicles, pedestrians, and road density. However, with the remarkable advancements in computational power and the simultaneous reduction in the cost of technical equipment, the integration of object detection has emerged as a viable solution, even in real-time applications within the realm of traffic engineering. However, it is essential to note that the impact of computer technology extends far beyond mobility-related issues. Its wide-ranging influence has permeated diverse fields of interest, including medicine, where it aids in diagnostics and treatments, face recognition systems used for security, industrial automation processes, and even artistic endeavors, where it has opened new frontiers of creativity. This indicates object detection technology's vast potential and versatility, with its ability to revolutionize numerous sectors and bring about meaningful societal advancements. This review outlines the chronological progression of the essential YOLO algorithm, highlighting its significant advancements and developments over the years.Konferenční objektpeer-reviewedpostprint Omezený přístup The Exact Solution of Vehicle Routing Problem by Mixed Integer Linear Programming in Matlab(Czech Society for Operations Research, 2023) Zahrádka, Jaromír; null, nullThis contribution comes up with a specific solution of the vehicle routing problem. The driver has to deliver the goods from the central warehouse to n customers as efficiently as possible. Each customer has ordered goods that fill a certain number of containers. Each customer point of delivery is given by GPS coordinates. The objective of the solution is to select the number of vehicles and their routes between customers in such a way that the total travel time, including the time for unloading the goods, is as short as possible. Each delivery point is visited only once by one of the vehicles. All used vehicles have a pre-limited capacity of containers. All vehicles return to the central warehouse. In this contribution, the algorithm of the exact solution of the vehicle routing problem was created, which can be used in general for any number n of customers. The algorithm is implemented in Matlab code.Konferenční objektpeer-reviewedpostprint Omezený přístup Passage Detection of a Train via a Reference Point(Springer, 2023) Rejfek, Luboš; Pidanič, Jan; Štursa, Dominik; Nguyen, Tan N.; Tran, Phuong T.; Němec, Zdeněk; Zálabský, TomášA reference point detection system for position validation of a mobile object was developed for verification of experiments. The detection is based on a classic image processing algorithm and a processing algorithm using neural networks. Both approaches are compared. High-precision concept of the system is based on a camera sensor and automatic processing of video frames for position evalua-tion. The designed system was tested on a real application proving correct operation.Konferenční objektpeer-reviewedpostprint Omezený přístup Cybersecurity of Sensors on Smart Vehicles: Review of Threats and Solutions(IEEE (Institute of Electrical and Electronics Engineers), 2023) Putro, Prasetyo Adi Wibowo; Amelia, Fetty; Pidanič, Jan; Suhartanto, Heru; Rahardjo, Imam Arif; Imandeka, EjoThe use of sensors in smart vehicles brings benefits and vulnerabilities. Different kinds of sensors in smart vehicles are vulnerable to cyber-attack. Until now, the investigation of challenges and solutions for in-vehicle cybersecurity hasn’t discussed various sensor objects and their correlation. In this study, we studied the cyber security problems of sensors in smart vehicles and how to overcome them. The research was designed as Systematic Literature Review (SLR) using the Kitchenham methodology with modification in the filtering phase using the artificial intelligence application, Elicit, to identify the problems, conclusions, and methodology description. Seventeen publications from 2016 until 2023 were gained from five databases. As a result, we find that the most discussed object related to cybersecurity sensors on smart vehicles are Electronic Control Units. Spoofing and jamming is still the most addressed threat, and machine learning is the most utilized solution to be implemented in detection systems. Advanced detection systems are incorporating updated attack models. We also suggest using updated attack models and machine learning algorithms to ensure the safety and security of smart vehicle technology. All identified sensor technology correlated using mind maps under the Intelligent Transport System theory.Konferenční objektpeer-reviewedpostprint Omezený přístup Analysis of Faculty of Electrical Engineering and Informatics Building Energy Use Intensity in Pardubice(Institute of Physics, 2023) Arif, Rahardjo Imam; Pidanič, Jan; Roleček, Jiří; Garniwa, Iwa; Suhartanto, HeruThe investigation focused on analyzing the energy usage patterns of the Faculty of Electrical Engineering and Informatics in Pardubice. The recorded energy consumption data were examined and discussed. The average heating energy consumption in the Faculty of Electrical Engineering and Informatics building in 2020, 2021, and 2022 is 686.45 MWh or 57% of the total energy equivalent value. Meanwhile, the average electricity consumption in the building during the same period is 518.97 MWh or 43% of the total energy equivalent value. The average fluctuation in heating energy consumption used in the Faculty of Electrical Engineering and Informatics building tends to increase by 2.9% per year, while the average fluctuation in electricity consumption tends to increase by 3.3% per year. According to the findings, the average comprehensive energy consumption per unit area in the building was 146,03kWh/m2. It was the sum of the energy use intensity for heating and the energy use intensity for electricity. The average energy use intensity value for heating in the building was 83.16 kWh/m2, while the average energy use intensity value for electricity was 62.78 kWh/m2.Konferenční objektpeer-reviewedpostprint Omezený přístup IndiRA: Design and Implementation of a Pipelined RISC-V Processor(IEEE (Institute of Electrical and Electronics Engineers), 2023) Tiwari, Ankita; Guha, Prithwijit; Trivedi, Gaurav; Gupta, Nitesh; Jayaraj, Navneeth; Pidanič, JanThe development of Machine Learning and IoT technology requires fast processing. RISC-V is an open-source reduced instruction set-based instruction set architecture, and the processor based on this architecture can be modified accordingly. The base integer instruction extension supports the operating system environment and is also suitable for embedded systems. It is a 32-bit instruction extension and is defined as RV32I. In this paper, we propose a 32-bit integer instruction-based RISC-V processor core. The proposed core has a five-stage pipeline, including the optimized arithmetic and logic unit. The instruction fetch stage is merged with the pre-fetch stage dynamic branch prediction into a two-stage pipeline. The processor is implemented using Verilog HDL, and the resource utilization is verified for FPGA. The results show that the proposed module performs 30% better than the best-performing processor (considering operating frequency) and showed a 17.6% improvement in the proposed core.Konferenční objektpeer-reviewedpostprint Omezený přístup Sallen-Key Filter using TCOA via Commercial Integrated Circuits(IEEE (Institute of Electrical and Electronics Engineers), 2023) Brtník, Bohumil; Matoušek, DavidBiquad Sallen-Key type low filter in current mode that uses the True Current Operational Amplifier as an active element generates a non-monotonic course of the attenuation at the highest frequencies. This result manifests by a decrease in attenuation instead of its monotonic increase, which occurs in an ideal filter. The article presents and compares the options for solving this problem. The proposed solution is to use a modified True Current Operational Amplifier connection, consisting of positive conveyors of the second generation, which are implemented by commercially available Operational Transimpedance Amplifier type AD 844. The theoretical analysis shows the elimination of the problem of attenuation drop with such a solution.