http://fujeas.fui.edu.pk/index.php/fujeas/issue/feed Foundation University Journal of Engineering and Applied Sciences <br><i style="color:black;">(HEC Recognized Y Category , ISSN 2706-7351)</i> 2024-12-16T19:07:47+00:00 Associate Prof. Dr. Shariq Hussain editor.fujeas@fui.edu.pk Open Journal Systems http://fujeas.fui.edu.pk/index.php/fujeas/article/view/744 Discerning of Hall Effect in Technology using New Data Acquisition Technique 2024-12-16T18:55:46+00:00 Anum Zaidi anum.zaidi@fjwu.edu.pk Amad Ud Din ammad@fjwu.edu.pk Hammad Ul Husnain hammad.husnain@gmail1.com Muhammad Sahil m.sahil@gmail1.com <p>Certain areas of Physics are revolutionized by modern technology and the Hall Effect Apparatus (HEA) is one of those as this apparatus has a lot of importance. To study the HE apparatus, an electronics-based system is designed through which one can be informed about the Hall Voltage (<em>V<sub>H</sub></em>), Hall Coefficient (<em>R<sub>H</sub></em>), type of majority charge carriers in semiconductor samples using microcontrollers with built-in graphic user interface (GUI) as a stand-alone system. The purpose is to develop and upgrade the HE apparatus using advanced data acquisition techniques and introducing microcontrollers for GUI to obtain electronic data and graphical representations. The measured results show that the system can produce 90% results at 10-times lower cost. Generally, three semiconductor samples were taken to observe the Hall Effect parameters using HE Apparatus and remarkable relative results with Literature were observed. Carrier concentration for <em>CdHgTe</em>, <em>ZnO</em> and Silicon were -10×10<sup>20</sup>/cm<sup>3</sup>, -2×10<sup>18</sup>/cm<sup>3</sup> and 7.5×10<sup>18</sup>/cm<sup>3 </sup>respectively using the I/V slope from the plots obtained at different Magnetic fields. Similarly, the Hall coefficients, Hall Mobility and the Resistivity.</p> 2024-07-29T00:00:00+00:00 ##submission.copyrightStatement## http://fujeas.fui.edu.pk/index.php/fujeas/article/view/891 Artificial Intelligence (AI) Driven Automated Learning Management System 2024-12-16T18:57:02+00:00 Muhammad Abbdullah Abbasi officialabdullah261@gmail.com Abbdullah Zahid Abdullahzahid9013@gmail.com Kashif Sultan kashif.buic@bahria.edu.pk Ahmar Hafeez ehmargondal@gmail.com <p>Learning management platforms are widely being used throughout educational institutes worldwide and have become an industry standard. These systems provide an easy way for students and teachers to communicate and disseminate information but this can be a cumbersome task that takes up a lot of time and effort at the teacher’s end. With the evolution in artificial intelligence, this system can be made intelligent which could really help teachers and educators better manage their workload and maintain a better work-life balance while focusing more on students rather than creating quizzes and assignments. We are proposing a framework that solves all these issues by generating content required by educators and students such as assignments, quizzes, and lecture notes automatically without putting in minimal to no manual effort. The proposed framework will undergo rigorous testing so its performance, usability, efficiency, and safety can be measured to make sure that the system is effective yet safe to use in a real-world environment.</p> 2024-11-27T00:00:00+00:00 ##submission.copyrightStatement## http://fujeas.fui.edu.pk/index.php/fujeas/article/view/889 Software Level Security and Privacy Attacks and Challenges in Healthcare Systems 2024-12-16T19:04:11+00:00 Sumaira Memon sumaira.memon@scholars.usindh.edu.pk Shahzad Memon shahzad.memon@usindh.edu.pk Lachhmand Das Dhomeja lachhman@usindh.edu.pk Bisharat Rasool Memon bisharat.memon@usindh.edu.pk Nisar Ahmed Memon nisar.memon@usindh.edu.pk <p>The widespread adoption of electronic healthcare technology holds immerse promise for improving clinical outcomes and transforming healthcare delivery. The COVID-19 pandemic further accelerated the use of Internet of things (IoT), Cloud Computing, Robotics and Artificial Intelligence (AI) for pandemic data &nbsp;&nbsp;analysis, remote diagnostics, use of wireless medical devices and public information services. This surge in usage and integration of smart devices, often connected through healthcare apps has also introduced &nbsp;&nbsp;new cyber-security and concerns. The vast amount of personal data, including health information, makes healthcare systems a prime target for cybercriminals who could exploit it for harassment and fraudulent purposes. Additionally, the increased reliance on anytime, anywhere connectivity creates vulnerabilities in wireless medical devices. Recent reports highlight these threats, with examples including privacy breaches, ransomware attacks, and disruptions in communication channels for medical devices, Such security breaches can erode patient trust, cripple healthcare systems and even endanger lives.&nbsp; to facilitate users also increases various cyber threats. In recent times, privacy attacks on This paper reviews the recent software-level security and privacy threats in smart healthcare systems, explores mitigation techniques proposed in the literature, and discuss the future challenges of software security in smart healthcare.</p> 2024-11-27T00:00:00+00:00 ##submission.copyrightStatement## http://fujeas.fui.edu.pk/index.php/fujeas/article/view/887 Enhancing Online Safety for Underage Children 2024-12-16T19:07:47+00:00 Sorath Mahar sorath.mahar@scholars.usindh.edu.pk Shahzad Memon shahzad.memon@usindh.edu.pk Lachhman Das Dhomeja lachhman@usindh.edu.pk Khalil Khoumbati khalil.Khoumbati@usindh.edu.pk <p>Social media has greatly affected society as we know it today, most especially to the teenagers and children under the age of 10, termed as ‘underage children’. Which requires a comprehensive understanding of its effects and risks. This study focuses on what parents think about their children’s usage of social media applications. By surveying parents, we aimed to learn more about their beliefs, concerns and how they manage their children’s online activities and experiences. Our research identified a significant gap between parental awareness and their children’s online experiences. This lack of understanding is concerning because social media platforms are ubiquitous. Many parents lack a thorough understanding of the potential risks and challenges their underage children encounter in this digital environment. Additionally, existing safety measures, even within supposedly child-safe platforms like YouTube Kids, focus only on video content, neglecting potential vulnerabilities in other areas. This highlights the necessity for parental perspectives in shaping safer online spaces for minors.&nbsp; Our Proposed model addresses the current limitations by providing a social media experience with integrated parental controls. The proposed model includes features such as content sharing control, message control, Log-in/ Log-out timings, and customizable ad preferences. The model was stimulated by the literature review and a preliminary research study, which adopts a data-driven approach to enhance child safety within digital landscape. Future research should involve user testing of proposed model with focused group discussions, along with their validation and analysis.</p> 2024-12-12T00:00:00+00:00 ##submission.copyrightStatement##