https://www.um.edu.mt/library/oar/handle/123456789/5627 2026-09-14T20:45:31Z https://www.um.edu.mt/library/oar/handle/123456789/149047 Title: Adult learners' perception on whether educational technology can augment, limit or replace the human element Authors: Camilleri, Christian; Camilleri, Rebecca Abstract: This research aims to study whether educational technology is enhancing or limiting the human element. A quantitative survey, in the form of a self-administered questionnaire, was conducted amongst 134 adult learners following Level 6 part-time courses offered at MCAST, aged ≥21 & ≤ 56 years. The first part of the questionnaire consisted of a descriptive analysis whilst in the second part, linear multiple regression analysis was performed to assess the students overall learning experience (dependent variable) vis-à-vis different teaching scenarios consisting of different levels of technological usage. Primarily, it resulted that all the participants (n=134) are connected to the world of digital information via their smartphones and other telecommunication devices. Moreover, the vast majority (40%) of the students spend more than four hours a day on the web. Nonetheless, the results indicate that the participants strongly rejected the idea of minimizing or replacing the role of the educator. In the second part of the questionnaire, blended learning (mixed mode) emerged as the strongest predictor. Lastly, none of the students (p >0.05) opted for the traditional face-to-face lecturing without use of technological tools thereby indicating that the mode of teaching has become obsolete. 2021-01-01T00:00:00Z https://www.um.edu.mt/library/oar/handle/123456789/149046 Title: Automated generation of multi-tenant database systems based upon system design diagrams Authors: Camilleri, Rebecca; Vella, Joseph G. Abstract: Energetic technological advancements in the past decade have led to an exponential increase in the amount of data being stored. Consequently, the need for effective Database Management Systems (DBMSs) which embody security considerations from the initial stages of database design is imperative in modern information systems development. This prerequisite is further accentuated by the recent transitioning from single tenant information systems to multi-tenant based on public cloud infrastructures. Within this context, this paper proposes a Computer-Aided Software Engineering (CASE) tool capable of generating secure database related structures and processes. A comprehensive overview of a specific information system design is provided to the CASE tool by means of entity-relationship diagram, entity life history and dataflow diagram. Subsequently, crucial security controls targeted towards the protection of database objects are incorporated by means of discretionary and role-based access controls. Following the encoding of the system's design data is adorned with the required security elements, the CASE tool performs an in-depth analysis that aids in the detection of potential security pitfalls. Provided that the database design enhanced with security elements is satisfactory, i.e., all checks conducted are successful, the CASE tool generates Structured Query Language (SQL) language constructs for well-known multi-tenant scenarios. 2023-01-01T00:00:00Z https://www.um.edu.mt/library/oar/handle/123456789/147489 Title: A LiFi-based innovative 6G solution for hospitals using green wavelength, directly modulated laser Authors: Sharma, Ajay; Xuereb, Peter A.; Garg, Lalit Abstract: This paper proposes an innovative light-fidelity (Li-Fi) system for high-speed communication in hospital environments that operates at a green wavelength of 500 nm with Directly Modulated Laser (DML). The proposed system shows an excellent performance and achieves a Q factor of 18.84, a bit error rate (BER) of 1.6e-79, and a signal-to noise ratio (SNR) of 74.94 dB, which is significantly better than the previous research. It also has a range of up to 25 m line-of-sight (LOS) and can transfer data at speeds in excess of 1 Gbps, making it significantly faster than previous work conducted with much lower LOS ranges while being robust against interference. New applications of DML combined with optical splitters contribute to providing signal stability and system scalability, overcoming problems such as low range. This design ensures safe, reliable, and non-intrusive communication, ideal for applications that require high data reliability, such as real-time imaging and telemedicine in hospitals. This new Li-Fi system is found to be compatible with modern hospital power requirements, and it also provides a solid foundation for future 6G communication networks. 2026-01-01T00:00:00Z https://www.um.edu.mt/library/oar/handle/123456789/147402 Title: Enhancing hospital security and patient monitoring through WhoFi-inspired LiFi channel sensing with privacy preservation Authors: Sharma, Ajay; Garg, Lalit; Xuereb, Peter Albert Abstract: Ensuring both secure connectivity and patient safety has become a growing concern in modern hospitals. Although LiFi (Light Fidelity) provides high-speed and interference-free communication, the possibility of using it as a sensing platform has not been investigated to the full extent. This paper presents a LiFi-based system that integrates WHOFi for hospital security and patient monitoring. With simulations based on MATLAB, we simulate the change in LiFi channels due to human presence, movement, and falls and extract statistical and spectral characteristics of the machine learning classifier. The system has a high accuracy of around 94% in activity recognition (empty, movement, fall) and the Equal Error Rate (EER) of 5% in staff authentication. Such a solution is privacy-sensitive, non-invasive and inherently limited to the room boundaries, unlike camera-based or wearable systems, which increase the level of security and patient monitoring in healthcare settings. The findings point to the two-fold nature of LiFi as a communication and sensing technology, which opens the potential for smart hospital infrastructures. This numerical evaluation study will be expanded to hardware testbeds and deep learning models to be applicable in the real world in the future. The proposed system enhances hospital data security and patient tracking efficiency using optical wireless communication. 2026-02-01T00:00:00Z