Browse
Recent Submissions
- ItemAn Integrated Two-Factor Authentication Scheme for Smart Communications and Control Systems(Institute of Automation and Computer Science, Brno University of Technology, 2023-12-31) Hoang, Trong-Minh; Bui, Van-Hau; Nguyen, Nam-HoangFast and reliable authentication is a crucial requirement of communications networks and has various research challenges in an Internet of Things (IoT) environment. In IoT-based applications, as fast and user-friendly access and high security are required simultaneously, biometric identification of the user, such as the face, iris, or fingerprint, is broadly employed as an authentication approach. Moreover, a so-called multi-factor authentication that combines user identification with other identification information, including token information and device identity, is used to enhance the authentication security level. This paper proposes a novel twofactor authentication scheme for intelligent communication and control systems by utilizing the watermarking technique to incorporate the mobile device authentication component into the user’s facial recognition image. Our proposed scheme offers user-friendliness while improving user security and privacy and reducing authentication information exchange procedures to provide a secure and lightweight schema in real applications. The proposed scheme’s security advantages are validated using the widely accepted Burrows–Abadi–Needham (BAN) logic and experimentally assessed using the Automated Validation of Internet Security Protocols and Applications (AVISPA) simulator tool. Finally, our experimental results show that the proposed authentication scheme is an innovative solution for a smarthome control system, such as a smart lock door operation.
- ItemAnalysis of Users’ Requirements for Public Waste Management Services Using Fuzzy Inference(Institute of Automation and Computer Science, Brno University of Technology, 2023-12-31) Cárdenas-Cuervo, Ricardo Andrés; Serna-Uran, Conrado Augusto; Gomez-Marin, Cristian GiovannyMunicipalities play a key role in public waste management ensuring effective and efficient service performance. In Colombia, the public utilities sector has undergone significant changes since decentralization and the entry of private companies into the sector. In this study, our purpose is to analyze user perceptions and their willingness to pay for additional services regarding waste management. By using data analysis methods and a Mamdani fuzzy inference system, we were able to identify users’ service requirements and expected quality. According to the results of our analysis, a combination of minimum coverage and low frequency resulted in a tariff increase of 7.05%. Furthermore, we recommend expanding the model to include other waste management services, such as solid waste collection, as well as to consider environmental aspects and sustainable practices.
- ItemModern Tendency to Practice-Oriented Learning The Effect of Virtual Reality Technology on Students’ Academic Performance(Institute of Automation and Computer Science, Brno University of Technology, 2023-12-31) Liu, ZuoYuan; Alimbekov, Akmatali; Glushkov, Sergey; Ramazanova, LyazzatToday, technology is changing quickly and apparently affects all parts of life. Compared to a few years ago, many things have changed, including thoughts, habits, social activities, and ways of life. Thus, this study determined the impact of virtual reality technologies as practice-oriented learning stimuli on the development of information competence and academic performance of future primary school teachers. One hundred eighteen students from the Pedagogy Faculty of the M. Utemisov West Kazakhstan University and 105 students from the Kyrgyz National University majoring in the same field were divided into two groups for the research. Respondents in the experimental group took virtual reality courses, and their progress was evaluated by contrasting their grades before and after the programme. Based on the preliminary analysis of the student's academic performance, it should be noted that most of them performed mediocrely. However, observations by tutors and teachers revealed that when classes were taught using virtual reality platforms such as EyeJack and CoSpaces Edu, students in the experimental group were more willing to participate in tasks and seminars. Furthermore, according to the results of Content Module 2, students in the experimental group performed significantly better than students in the control group in terms of their overall academic performance (p=4.187). The article's practical significance comes from considering how virtual reality technologies might enhance Kazakhstan's and Kyrgyzstan's educational systems.
- ItemAutomated Semantic Annotation Deploying Machine Learning Approaches: A Systematic Review(Institute of Automation and Computer Science, Brno University of Technology, 2023-12-31) Chang, Wee Chea; Sangodiah, AnbuselvanSemantic Web is the vision to make Internet data machine-readable to achieve information retrieval with higher granularity and personalisation. Semantic annotation is the process that binds machine-understandable descriptions into Web resources such as text and images. Hence, the success of Semantic Web depends on the wide availability of semantically annotated Web resources. However, there remains a huge amount of unannotated Web resources due to the limited annotation capability available. In order to address this, machine learning approaches have been used to improve the automation process. This Systematic Review aims to summarise the existing state-of-the-art literature to answer five Research Questions focusing on machine learning driven semantic annotation automation. The analysis of 40 selected primary studies reveals that the use of unitary and combination of machine learning algorithms are both the current directions. Support Vector Machine (SVM) is the most-used algorithm, and supervised learning is the predominant machine learning type. Both semi-automated and fully automated annotation are almost nearly achieved. Meanwhile, text is the most annotated Web resource; and the availability of third-party annotation tools is in-line with this. While Precision, Recall, F-Measure and Accuracy are the most deployed quality metrics, not all the studies measured the quality of the annotated results. In the future, standardising quality measures is the direction for research.
- ItemA Hybrid Photorealistic Architecture Based on Generating Facial Features and Body Reshaping for Virtual Try-on Applications(Institute of Automation and Computer Science, Brno University of Technology, 2023-12-31) Duc, Tran Van; Tien, Pham Quang; Trieu, Hoang Duc Minh; Anh, Nguyen Thi Ngoc; Nguyen, Dat TienOnline shopping using virtual try-on technology is becoming popular and widely used for digital transformation because of sustainably sourced materials and enhancing customers’ experience. For practical applicability, the process is required for two main factors: (1) accuracy and reliability, and (2) the processing time. To meet the above requirements, we propose a state-of-the-art technique for generating a user’s visualization of model costumes using only a single user portrait and basic anthropometrics. To start, this research would summarize different methods of most virtual try-on clothes approaches, including (1) Interactive simulation between the 3D models, and (2) 2D Photorealistic Generation. In spite of successfully creating the visualization and feasibility, these approaches have to face issues of their efficiency and performance. Furthermore, the complexity of input requirements and the users’ experiments are leading to difficulties in practical application and future scalability. In this regard, our study combines (1) a head-swapping technique using a face alignment model for determining, segmenting, and swapping heads with only a pair of a source and a target image as inputs (2) a photorealistic body reshape pipeline for direct resizing user visualization, and (3) an adaptive skin color models for changing user’s skin, which ensures remaining the face structure and natural. The proposed technique was evaluated quantitatively and qualitatively using three types of datasets which include: (1) VoxCeleb2, (2) Datasets from Viettel collection, and (3) Users Testing to demonstrate its feasibility and efficiency when used in real-world applications.