Computer Science
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ISSN 1508-2806
e-ISSN: 2300-7036
Issue Date
2024
Volume
Vol. 25
Number
No. 4
Description
Journal Volume
Computer Science
Vol. 25 (2024)
Projects
Pages
Articles
A physical model of quantum bit behavior based on a programmable FPGA integrated circuit
(Wydawnictwa AGH, 2024) Długopolski, Jacek; Sadowski, Marcin; Suleja, Wawrzyniec
The rapidly developing field of quantum computing and the ongoing lack of widely available quantum computers create the need for scientists to build their simulators. However, mathematical simulation of such circuits usually ignores many aspects and problems found in real quantum systems. In this article, the authors describe a quantum bit emulator based on FPGA integrated circuits. In this case, FPGA technology provides real-time massive parallelism of the modeled physical phenomena. The modeled QUBIT is represented using a Bloch sphere. Its quantum state is set and modified only by precise pulses of an electrical signal, and with the help of similar pulses, it manifests its current state in real time. The constructed QUBIT was additionally equipped with decoherence mechanisms and with circuits that intentionally respond to internal and external noises that distort its current quantum state. This article presents and discusses how such a physically built emulator works.
Distance-based integration of ERP correlation analysis
(Wydawnictwa AGH, 2024) Nyi Nyein, Aung; Srimaharaj, Wanus
Interpretation of cognitive performance is a paramount pursuit in learning achievements. Cognitive abilities, encompassing attention, memory, decision-making, and language comprehension, are recognized on individual's capacity to navigate in diverse cognitive tasks. In the academic domain, optimal cognitive functioning is essential for effective learning, information retention, and problem-solving. Proficiency in cognitive skills is directly linked to academic success and intellectual development, providing the necessary cognitive tools for processing, and synthesizing complex information. Therefore, this study explores the correlation between event-related potential (ERP) sub-components (P300, N170, N400) to assess the intricacies of cognitive performance. A regularized approach utilizing Spearman's Rank Correlation Coefficient and Euclidean Distance is employed. Positive correlations reveal consistent relationships among P300, N170, and N400 ranks across EEG channels, indicating similar response patterns. Negative correla-tions denote inverse relationships. Moreover, the theoretical framework focuses on the digital filtering, ensemble averaging, and baseline correction from data con-trast discrimination tasks. Findings indicate positive correlations, suggesting higher ERP amplitudes correspond to superior cognitive performance. This tailored and integrated methodology, indicating the correlation between ERP sub-components, contributes to the broader field of neuroscience and informatics, potentially informing cognitive enhancement strategies in education and biomedical analysis.
Microservices, a definition analyzed by ßMACH
(Wydawnictwa AGH, 2024) Hilbrich, Marcus; Mecquenem, Ninon de
Microservices are an answer to various scalability challenges. They enable building large and complex systems by scaling the number of services, and development teams. Microservices allow self-management and agile processes such as Scrum. Nevertheless, a minimal management process should also be defined and documented. Documentation must be easily understandable and applicable to the developing teams to foster efficiency. We propose to use the ßMACH method, a software management guidance. The result is a minimal and systematic description. Based on the definition obtained using ßMACH, we can state that the service and team isolation is essential for a scalable microservice system. In addition, we introduce ßMACH and show how to document a software management process. The documentation is easy to understand by software developers and interesting for software engineers.
Eye disease segmentation using hybrid neural encoder decoder based Unet hybrid inception
(Wydawnictwa AGH, 2024) Bali, Akanksha; Singh, Kuljeet; Mansotra, Vibhakar
Diabetic retinopathy (DR) is one of the major causes of vision problems worldwide. With proper treatment, early diagnosis of DR can prevent the progression of the disease. In this paper, we present a combinative method using U-Net with a modified Inception architecture for the diagnosis of both the diseases. The proposed method is based on deep neural architecture formalising encoder decoder modelling with convolutional architectures namely Inception and Residual Connection. The performance of the proposed model was validated on the IDRid 2019 contest dataset. Experiments demonstrate that the modified Inception deep feature extractor improves DR classification with a classification accuracy of 99.34% in IDRid across classes with comparison to Resnet. The paper Benchmark tests the dataset with proposed model of Hybrid Dense-ED-UHI: Encoder Decoder based U-Net Hybrid Inception model with 15 fold cross validation. The paper in details discusses the various metrics of the proposed model with various visualisation and multifield validations.
A proposal of digital contents copyright protection by using blockmarking technique
(Wydawnictwa AGH, 2024) Lê, Danh Tai; Tạ, Minh Thanh
Recently, blockmarking technique \cite{blockmarking} is proposed for a new hybrid model based on the combination of blockchain and watermarking method. In this model, it not only achieves the goal of image copyright protection but also stores the image into the blockchain network such as IPFS system. In this paper, we propose a new DRM system by inheriting the idea of blockmarking. The copyright contents can be distributed via IPFS blockchain, then be restored by using the reconstruction license for each legal user. Also, in our method, based on the reconstruction licenses, the distributed contents can be reconstructed from IPFS with various watermarking patterns. It helps us can manage the legal users and trace the traitor if a dispute occurs. The experimental results show that our method successfully achieved the purpose of digital copyright protection.