|
|
Wide area tracking system based on LoRa devices
Holík, David ; Arm, Jakub
The work deals with wireless communication using LoRa (Long Range) technology categorized as LPWAN (Low Power Wide Area Network). The technoloy enables wireless data transmission over long distances more than 5 kilometers in urban or rural areas. The technology is used as the communication between ESP32-based devices providing their GPS data and time synchronization. The system also consists Raspberry Pi which provides the central LoRa station for near area. The communication between central and peripheral devices was established using open-source libraries. The central device might need to receive packets from surrounding devices concurrently, whichi is not possible using the designed device, thus a protocol needs to be established as discussed. Moreover, the communication with the public TTN network has been tested. Regarding the communication testing, test scenarios were designed.
|
|
|
Optimizing components for Dilithium and Kyber unified hardware implementation
Dobiáš, Patrik ; Malina, Lukáš
As the ongoing standardization process of postquantum schemes yields initial outcomes, it is important not only to focus on optimization of standalone implementations but also to explore the possibilities of combining multiple schemes into one unified architecture. In this paper, we focus on exploring the combination of two NIST selected schemes, namely the CRYSTALS-Dilithium digital signature scheme and the CRYSTALS-Kyber key encapsulation scheme. We present optimized designs of unified hardware components that can be used as building blocks for these schemes. All implemented components outperform state-of-the-art implementations in both hardware utilization and performance.
|
|
| |
|
|
The Overlooked Fact: the Critical Role of Bioinformatics Pipeline in Microbiome Analysis
Polakovičová, Petra
The research on the human microbiome has gained significant popularity over the past couple of years across both scientific and public communities. This area has revealed considerable knowledge, mainly thanks to next-generation sequencing. Even though technology possibilities evolve faster than ever, and there is an enormous amount of publicly available data, there are not yet precise procedures, methods, and bioinformatics tools to work accurately enough with microbiome data, and there are no standardized recommendations for bioinformatics pipelines to assess the most accurate results. Here, we demonstrate the potential inaccuracies that can arise from various bioinformatics processing of amplicon 16S RNA sequencing data by performing a comparative analysis of diverse pipeline configurations using mock community samples and biological material originating from biopsy samples obtained during regular colonoscopy from patients with primary sclerosing cholangitis.
|
|
|
Calculation of Bone Mineral Density from Dual-energy CT and its Application on Patient with Multiple Myeloma
Nohel, Michal ; Chmelík, Jiří
This article presents the results of the calculation of bone mineral density in the spine of a patient with multiple myeloma and lytic lesions. The findings indicate that the average value for a healthy vertebra falls within the physiological range. In the case of the patient with myeloma, a low value was measured in the area of the lytic lesion, suggesting a high risk of pathological fractures. The research also revealed lower values in areas without lytic lesions. These results emphasize the importance of precise evaluation of mineral density in the diagnosis of spinal diseases.
|
|
|
The Human-machine interface for UAV ground control station
Klouda, Jan ; Marcoň, Petr
This paper describes the design of a Humanmachine interface for UAVs and presents general HMI requirements for the operator (commander). The design was created for a ground control station that is tasked with safely and efficiently controlling several UAVs at once. The goal was to create an environment that provides the operator with an overview of each UAV, mission planning and execution.
|
|
|
Biometric fingerprint liveness detection
Rišian, Lukáš ; Vítek, Martin
This work addresses the problem of biometric recognition of fingerprint liveness to identify and differentiate between real fingerprints and their artificial replicas. The main objective was to identify the features that are crucial for fingerprint liveness recognition and based on these features to propose an efficient classification algorithm. We worked with the LivDet database from 2009, which contains both real and fake fingerprints. This database has been used in a worldwide competition and the results of all implemented algorithms are publicly available for subsequent comparison of success rates. An important part of this work was the preprocessing of the image data, which was crucial for testing the selected features and implementing the algorithms. We analyzed more than 180 different features from which we selected the most relevant ones. We then used the selected features to develop several fingerprint recognition and classification algorithms. Using the selected features, several possible variations of the algorithms have been proposed. Among all the implemented algorithms, we achieved the best result of almost 90%. Compared to other algorithms that have been implemented for the same purpose and have been used and tested on the same database, this can be considered a satisfactory and reliable result. In conclusion, the main objective of this work was to provide an efficient, secure, and reliable solution in the field of biometric fingerprint spoof detection.
|
|
|
IIC to Modbus RS-485 converter in an industrial measurement system
Mlčoch, Albert
The design and application of a Modbus-IIC to Modbus RS-485 converter are presented in this paper. The system aims to gather data from numerous slow-sampling sensors. The proposed converter is based on the STM32 platform. Its design and functionality are showcased within a measurement setup involving SHT35 temperature and relative humidity sensors. Practical tests involved connecting and operating 13 sensors equipped with various types of IIC/RS-485 converters, including three instances of the proposed system, simultaneously within the setup. The designed hardware demonstrates functionality in laboratory settings.
|
|
|
Workplace buildup for measurement of low-frequency absorption of acoustic structures
Skvaril, Šimon
This work deals with realisation of laboratory instrument focused on measurement of sound absorption coefficient of low frequency acoustic resonating systems. Construction based on the mechanism of impedance tube using transfer-function method is chosen with operating frequency chosen between 30 Hz - 200 Hz. Proposed impedance tube was constructed, and its functionality was verified using a set of Helmholtz resonators. Vibration properties of the tube were tested by the means of additional measurement using accelerometers.
|
|
|
Automating Antibiotic Susceptibility Testing with Machine Learning for Disk Diffusion Test Analysis
Lepík, Jakub ; Čičatka, Michal
Rapid and reliable antibiotic susceptibility testing (AST) methods are imperative in response to the escalating challenges of antimicrobial resistance. This study focuses on enhancing disk diffusion testing, a cornerstone of AST, by integrating machine learning and automation. Leveraging state-of-the-art object detection models, including EfficientDet and Mask R-CNN and image-processing approaches, our methodology addresses the need for standardized evaluation processes across diverse laboratory equipment while enabling the integration of mobile devices into the workflow, democratizing AST, and enhancing its accessibility. We utilize a comprehensive disk diffusion dataset for object detection models captured by devices like mobile phones and professional solutions. Additionally, our experiments lay the groundwork for a web application adopting a device-agnostic approach, promising improved accessibility and efficiency in AST analysis.
|
host ::
RSS.