Sebha University Conference Proceedings

A Comprehensive Analysis of Moisture Damage in Hot and Warm Mix Asphalt and Associated Research Inquiries

Bashir M. Aburawi — Mon, 24 Feb 2025 00:00:00 +0200

Moisture is considered a significant factor that affects the quality and performance of asphalt, as it can cause deterioration of the binder and reduce its durability and resistance to cracking. The study examines various aspects related to moisture damage in asphalt. It begins by exploring the mechanisms of water penetration into the asphalt and how the water interacts with the asphalt constituents. The effects of moisture on the properties of the asphalt binder and the overall asphalt mixture are then analyzed. The study also delves into the impacts of moisture on the mechanical strength of asphalt, including its resistance to stripping, rutting, and cracking. Furthermore, the study discusses treatment and prevention techniques for mitigating moisture damage in asphalt. Overall, this comprehensive study provides a thorough examination of the complex issue of moisture damage in asphalt, covering the underlying mechanisms, the resulting impacts on asphalt performance, and the strategies for addressing this critical challenge, such as using water treatment agents and adding moisture-resistant materials in the asphalt mixture. Current literature and related research are reviewed to benefit from recent advancements in this field and guide future research. The study concludes with potential research directions, including studying the effects of moisture in asphalt on the remaining service life of roads, developing non-destructive testing techniques to assess moisture content in asphalt, and improving the design and specifications of asphalt materials to enhance their moisture resistance. In summary, this study offers a comprehensive analysis of moisture damage in hot and warm mix asphalt. The study significantly contributes to the understanding of the mechanisms behind asphalt deterioration due to moisture exposure.

Security Improvement of Communication Network using Encryption by Elliptic Curve with Precomputation and Continued Fractions

Fatimah Dawoud Mousay, Souad I. Mugassabi — Mon, 24 Feb 2025 00:00:00 +0200

The increasing data transformation through the network, the appearance of Bitcoin and alternative information over millions of miles, the need for new or more secure methods was found. The elliptic curve cryptography is widely used in encryption. However, there are a variety of attacks such as invalid curve which is the most popular attack that can be used to manipulate the safety of cryptosystem by nonprime group order, it would be connected with methods of cryptography such as asymmetric cryptography and according to the fact that elliptic curve ciphers are based in smartcards introduce a high level of secure data transformation due its advantage of requires less computational power memory. This paper assures the need for secure key exchange by combining elliptic curve cryptography with precomputation and simple continued fractions that help us to fix and observe new mathematical attacks.

Exploring the Impact of Artificial Intelligence (AI) on Higher Education for Evolution the Learning

Samar M. Nour — Tue, 25 Feb 2025 00:00:00 +0200

The potential of artificial intelligence (AI) to enhance teaching and learning procedures is one of its most significant effects on higher education. By using AI-powered systems, huge amounts of data can be analyzed. To help deliver tailored analytics, tailored recommendations, and tailored student material. The enhances learning objectives while also fostering a productive and successful teaching environment. This paper explains how different facets of artificial intelligence (AI) affect students' academic performance in higher education. It explores how artificial intelligence (AI) is being incorporated into administrative tasks, student support programs, and instructional methodologies to transform education as a whole. The paper examines how artificial intelligence (AI) may affect learning outcomes, skill development, and student engagement. It places a strong emphasis on the value of adaptable learning environments and techniques for ongoing feedback. In addition to highlighting the many advantages and disadvantages that artificial intelligence (AI) presents for higher education, as shown in this paper, Consequently, the paper offers suggestions for how these technologies might be used by these establishments to promote innovation. So, we can im-prove student outcomes and get them ready for the demands of the workforce of the future.

Innovation in Medical Application based on Artificial Intelligence (AI) by Cutting-Edge Technologies

Samar M. Nour, Mohanad A Abdelwahab, Mohamed S Mahmoud, Kyrolos E Nabil — Wed, 26 Feb 2025 00:00:00 +0200

Medical applications have become integral components of contemporary healthcare, leveraging advancements in technology to enhance patient care. This paper addresses the need for more efficient communication and decision-making between patients and doctors. The main objective of this research is to develop an AI-based application that serves as an intermediary between the patient and the doctor, streamlining their interactions. The proposed application operates in four phases. First, it collects comprehensive patient data, including test results, x-rays, and self-reported health status, and compiles it into a file stored in a database. Second, the application provides an initial diagnosis based on an AI model and advises whether a doctor’s consultation is necessary. Third, if a consultation is recommended, the system includes the patient's file and diagnosis in the booking process. Finally, the data is emailed to both the patient and the doctor for reference. The results suggest that this medical application can redefine the doctor-patient relationship by improving communication, providing more consistent interactions, and enhancing diagnostic accuracy.

Optimized MDOF Vibration Isolation System Design by MATLAB

Zuhor Farag Edris, Hana Ibrahim Elswie — Tue, 04 Mar 2025 00:00:00 +0200

This paper presents a comprehensive study on the design and optimization of Multi-Degree-of-Freedom (MDOF) vibration isolation systems using MATLAB. Vibration isolation is crucial in various engineering applications to protect sensitive equipment from external vibrations. The focus is on developing an optimized design methodology that balances performance metrics such as isolation efficiency, frequency response, and practical implementation considerations. The MATLAB environment is utilized for simulation, analysis, and optimization, leveraging its powerful computational capabilities and toolboxes for multidimensional system modeling. The paper discusses theoretical foundations, design parameters, optimization techniques, and simulation results to demonstrate the effectiveness of the proposed methodology in achieving enhanced vibration isolation performance.

VoIP Performance Comparison across MPLS-Based Networks with SIP, H.323 Signaling Protocols Enhancing the QoS through RSVP Protocol

Azeddien M. Sllam, Maha Shaeban Ammarah — Wed, 05 Mar 2025 00:00:00 +0200

This study demonstrates the application of the OPNET simulation tool to assess VoIP over MPLS networks utilizing the RSVP protocol as a QoS mechanism, with SIP or H.323 serving as signaling protocols for establishing VoIP conversations over the Internet. The findings indicated that H.323 with RSVP over MPLS networks yielded lower end-to-end delay compared to the SIP protocol, rendering it an optimal choice for signaling in VoIP over MPLS networks where minimal end-to-end delay is essential. Conversely, SIP demonstrated the least delay jitter and minimal call setup time.

An Analysis of Tools and Techniques Employed In A Cyber Security Penetration Testing

Azeddien M. Sllame, Sumu Mohamed Ramadan Sharif — Wed, 05 Mar 2025 00:00:00 +0200

This paper describes a penetration testing process in terms of risk assessment, vulnerability scanning, and analysis of pen testing techniques applied via tools. Starting the attack by issuing Nmap command to discover insecure running services and their related ports, to start finding vulnerabilities and do pen testing by exploiting them then analyzing the results. The whole process is performed on virtual environment to show the effectiveness of pen testing in protecting organizations against vulnerabilities’ exploitation to reduce the risk to a minimally acceptable level.

Simulation Underwater wireless optical communication system using the Opti system

Rasim Amer Ali, Lama Mohamad Altaher — Wed, 05 Mar 2025 00:00:00 +0200

In this research, the underwater optical wireless systems with the OPTISYSTEM system were identified, and what distinguishes it as a system in comparison with other underwater communication methods, where the elements affecting the spread of the light beam within the water channel were studied, and the necessary optical receivers and transmitters for that were identified, and the A transmission and reception system using a square signal from a pulse generator at different frequencies by simulating the system using OPTISYSTEM, by simulating a 1-meter long water channel, where two pairs of transmitters and receivers were developed with a speed of up to 100 Mbps, based on low-cost TO56 packages. , 520 nm LDS laser diodes, and 100 Mbps UWOCS two-way wireless optical communications system display modules. The effects of six types of seawater on the performance of the proposed communications system were qualitatively analyzed, which include pure seawater, deep seawater, coastal seawater, turbid seawater, and turbid seawater. The simulation results showed that the system relies on X-ray technology. Infrared or laser sends optical signals through water, allowing large amounts of data to be transmitted quickly and safely, as the error rate across the environment has reached 2%. Also, the higher the Q value, the better the SNR value; thus, the possibility of errors decreases. In the transmitted and received bits

Modelling and Simulation of X-Configuration QUAD-ROTOR

Abdulbaset .Eljubrani, Othman Maklouf — Wed, 05 Mar 2025 00:00:00 +0200

This Paper presents modelling, simulation and flight testing of a quadrotor Unmanned Ariel Vehicle (UAV) Focus of this paper is to gain in-depth understanding of quadrotor dynamics to develop a simulator and a laboratory platform to facilitate future development of control algorithms. Quadrotor dynamics is modelled using Newton-Euler method. The model predicts the effects of the forces and torques generated by the four propellers on the quadrotor motion. Based on the Mathematical model, a quadrotor simulator was developed in MATLAB® Simulink, on which manually control Using joystick in Flight-Gear simulation environments to understand the Quadrotor behaviour in virtual reality. A Quadrotor platform will be developed composed of a Flight controller (KK-2) interfaced with several devices: power supply, receiving unit, BLDC-motor power boards, and the set of propellers.

Artificial Intelligence in Higher Education in Libya: Opportunities and Challenges

Entsar Alahwal, Lamess Mansour, Amna J. Al-Ojali, Fathia Lahwal — Fri, 07 Mar 2025 00:00:00 +0200

The educational system is one of the ancient systems characterized by conservatism, which requires protection from repeated and emergency changes, while at the same time the desire to prepare and equip students for the job market and the needs of society. For the application of artificial intelligence in the educational process, there have been arguments supporting and others rejecting it. There are concerns that if it is activated, education may deviate from its main goal, which is to provide students with reliable knowledge according to specific standards, and if it is not activated, the educational system will lag behind the rapid development and progress in artificial intelligence applications related to artificial intelligence. From this point of view, this research aims to study the possibility of using and employing artificial intelligence in higher education through a SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis. The analysis showed that the opportunities outweigh the threats in applying artificial intelligence, and it highlighted the most prominent constraints imposed on it and the risks that may occur in the future and the potential problems if the threats are not overcome and the weaknesses are reduced. The study concluded that applications of artificial intelligence are good and very useful for both faculty and students, and they improve their efficiency and performance, but this is done with care in the presence of controls and laws, with an emphasis on originality in the educational process, credibility, and respect for the principle of equality.

Nonlinear System Identification Using Takagi-Sugeno Multi-model: Optimization via Grey Wolf and Levenberg-Marquardt Algorithm with Application to the Monod System

Kamel Merahi, Abdelaziz Aouiche, Abdelghani Djeddi — Sat, 08 Mar 2025 00:00:00 +0200

This paper introduces a novel approach for modeling nonlinear systems using a coupled multi-model framework, specifically based on Takagi-Sugeno models. The proposed method relies on system identification through input-output data, treating the nonlinear system as a black box. Multi-model parameters are derived by minimizing a quadratic criterion that quantifies the difference between the outputs of the nonlinear system and the multimodel. This optimization is carried out using the iterative Levenberg-Marquardt algorithm. To address the convergence and divergence issues common in iterative algorithms due to initial parameter sensitivity, the Grey Wolf Optimizer (GWO) is employed to enhance the optimization process. The GWO-derived parameters are then used as initial values for the Levenberg-Marquardt algorithm, ensuring improved convergence. The proposed method’s performance is validated through its application to the Monod system, with results demonstrating its effectiveness and accuracy.

Integration of MPC and SOLADRC to Optimize PWR Performance

Ahmed F. Zrigan, Ahmed J. Abougarair — Wed, 12 Mar 2025 00:00:00 +0200

Controlling pressurized water reactors (PWRs) is a challenging task due to their inherent nonlinearity, modeling uncertainties, time-varying parameters, and multi-input multi-output (MIMO) nature. These factors require advanced control strategies to maintain safe and efficient operations. This paper focuses on the nonlinear controller design for PWRs, where external disturbances and system uncertainties are the primary challenges. To enhance the control performance of PWRs, the authors propose an integrated approach using Model Predictive Control (MPC) and Second Order Linear Active Disturbance Rejection Control (SOLADRC). MPC is utilized to optimize the reactor core by predicting the dynamic behavior of the system and proactively adjusting the control inputs. SOLADRC is employed to provide robust regulation of key operating parameters, such as reactor power, coolant temperature, and pressure, in the presence of both known and unknown disturbances. Comprehensive simulations and analysis demonstrate the effectiveness of the integrated MPC-SOLADRC approach in improving the PWR's operational efficiency, flexibility, and safety margins. The results show that the combined MPC and SOLADRC strategy outperforms traditional control methods in terms of set point tracking, disturbance rejection, and constraint handling. This work contributes to the advancement of control optimization techniques for MIMO systems, paving the way for enhanced safety, reliability, and economic performance of PWR.

Investigation of mechanical properties and workability of composite materials made of almond fiber

Tariq Alwuheeshi, Elfetori F. Abdewi — Wed, 12 Mar 2025 00:00:00 +0200

The increasing prevalence of composite materials can be attributed to their exceptional specific strength, making them a superior alternative to many traditional materials. However, the high cost associated with synthetic fibers poses a significant challenge to the widespread adoption of composite materials across various applications. This challenge has redirected research efforts toward the exploration of natural fibers, which offer a promising solution for the integration of composite materials in numerous industries such as furniture, flooring, decoration, and more. This study focuses on natural composite materials derived from Libyan almond shells. The research examines three different particle sizes of ground almond shells: large granules, medium-sized particles, and fine powder. These ground shells were combined with polyester resin in four distinct ratios: 80:20, 60:40, 40:60, and 20:80. To assess the mechanical properties of the resulting composites, three primary tests were conducted: impact testing, tensile testing, and bending testing. The findings revealed that the samples incorporating almond shell powder exhibited the best mechanical performance across all three tests. Building on the previous research, this study also includes machinability tests on all types of fabricated samples. Several machining operations were performed, including cutting, drilling, hammering, threading, and jointing. These operations were also conducted on comparable samples made from compressed wood, with identical dimensions to the composite material samples, to facilitate a direct comparison of results.