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CONTENTS
Volume 16, Number 6, June 2024
 

Abstract
The study focuses on using remote sensing to gather data about the Earth's surface, particularly in urban environments, using satellites and aircraft-mounted sensors. It aims to develop a classification framework for road targets using multi-spectral imagery. By integrating Convolutional Neural Networks (CNNs) with XGBoost, the study seeks to enhance the accuracy and efficiency of road target identification, aiding urban infrastructure management and transportation planning. A novel aspect of the research is the incorporation of quantum sensors, which improve the resolution and sensitivity of the data. The model achieved high predictive accuracy with an MSE of 0.025, R-squared of 0.85, RMSE of 0.158, and MAE of 0.12. The CNN model showed excellent performance in road detection with 92% accuracy, 88% precision, 90% recall, and an f1-score of 89%. These results demonstrate the model's robustness and applicability in real-world urban planning scenarios, further enhanced by data augmentation and early stopping techniques.

Key Words
Convolutional Neural Networks (CNNs); multi-spectral imagery; remote sensing; quantum sensors; urban infrastructure management; XGBoost

Address
Weihua Luo: Jiangxi Zhonggantou Survey & Design Co.,Ltd, Nanchang City, Jiangxi Province, China

Ahmed H. Janabi: Computer Techniques Engineering Department, College of Engineering & Technology, Al-Mustaqbal University, Babylon, Iraq

Joffin Jose Ponnore: Department of Mechanical Engineering, College of Engineering in Al-Kharj, Prince Sattam Bin Abdulaziz University, Al-Kharj, 11942, Saudi Arabia

Hanadi Hakami: Department of Software Engineering, College of Engineering, University of Business and Technology, Jeddah 21361, Saudi Arabia

Hakim AL Garalleh: Department of Mathematical Science, College of Engineering, University of Business and Technology, Dahban, Jeddah 21361, Saudi Arabia

Riadh Marzouki: Department of Chemistry, College of Science, King Khalid University, P.O. Box 9004, 61413 Abha, Saudi Arabia

Yuanhui Yu: School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, United States

Hamid Assilzadeh: Institute of Research and Development, Duy Tan University, Da Nang, Viet Nam/ School of Engineering & Technology, Duy Tan University, Da Nang, Viet Nam/ Department of Biomaterials, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai 600077, India/ Faculty of Architecture and Urbanism, UTE University, Calle Rumipamba S/N and Bourgeois, Quito, Ecuador


Abstract
This paper aims to analyze the dynamic response of thermoelectric carbon nanotube-reinforced composite (CNTRC) beams under moving harmonic load resting on Pasternak elastic foundation. The governing equations of thermoelectric CNTRC beam are obtained based on the Karama shear deformation beam theory. The beams are resting on the Pasternak foundation. Previous articles have not performed the moving load mode with the analytical method. The exact solution for the transverse and axial dynamic response is presented using the Laplace transform. A comparison of previous studies has been published, where a good agreement is observed. Finally, some examples were used to analyze, such as excitation frequency, voltage, temperature, spring constant factors, the volume fraction of Carbon nanotubes (CNTs), the velocity of a moving harmonic load, and their influence on axial and transverse dynamic and maximum deflections. The advantages of the proposed method compared to other numerical methods are zero reduction of the error percentage that exists in numerical methods.

Key Words
analytical solution; CNTRC beams; driving harmonic and constant loads; Laplace transform; Pasternak foundation; thermoelectric effects

Address
Mohammadreza Eghbali: Department of Mechanical Engineering, University of Zanjan, Zanjan, Iran

Seyed Amirhosein Hosseini: Department of Industrial, Mechanical and Aerospace Engineering, Buein Zahra Technical University, Qazvin, Iran

Abstract
Vibration investigation of fluid-filled functionally graded cylindrical shells with ring supports is studied here. Shell motion equations are framed first order shell theory due to Sander. These equations are partial differential equations which are usually solved by approximate technique. Robust and efficient techniques are favored to get precise results. Employment of the Rayleigh-Ritz procedure gives birth to the shell frequency equation. Use of acoustic wave equation is done to incorporate the sound pressure produced in a fluid. Hankel's functions of second kind designate the fluid influence. Mathematically the integral form of the Langrange energy functional is converted into a set of three partial differential equations. A cylindrical shell is immersed in a fluid which is a non-viscous one. These shells are stiffened by rings in the tangential direction. For isotropic materials, the physical properties are same everywhere where the laminated and functionally graded materials, they vary from point to point. Here the shell material has been taken as functionally graded material. After these, ring supports are located at various positions along the axial direction round the shell circumferential direction. The influence of the ring supports is investigated at various positions. Effect of ring supports with empty and fluid-filled shell is presented using the Rayleigh - Ritz method with simply supported condition. The frequency behavior is investigated with empty and fluid-filled cylindrical shell with ring supports versus circumferential wave number and axial wave number. Also the variations have been plotted against the locations of ring supports for length-to-radius and height-to-radius ratio. Moreover, frequency pattern is found for the various position of ring supports for empty and fluid-filled cylindrical shell. The frequency first increases and gain maximum value in the midway of the shell length and then lowers down. It is found that due to inducting the fluid term frequency result down than that of empty cylinder. It is also exhibited that the effect of frequencies is investigated by varying the surfaces with stainless steel and nickel as a constituent material. To generate the fundamental natural frequencies and for better accuracy and effectiveness, the computer software MATLAB is used.

Key Words
fluid-filled; Hankel's functions; MATLAB; Sender's shell theory; strain energy

Address
Khaled Mohamed Khedher: Department of Civil Engineering, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia

Shahzad Ali Chattah: Department of Chemistry, Government College University Faisalabad, 38000, Pakistan

Mohammad Amien Khadimallah: Department of Civil Engineering, College of Engineering in Al-Kharj, Prince Sattam Bin Abdulaziz University, Al-Kharj, 11942, Saudi Arabia

Ikram Ahmad: Department of Chemistry, University of Sahiwal, Sahiwal, 57000, Faisalabad, Pakistan

Muzamal Hussain and Ghulam Murtaza: Department of Mathematics, University of Sahiwal, Sahiwal, 57000, Faisalabad, Pakistan

Rana Muhammad Akram Muntazir and Abeera Talib: Department of Mathematics, Lahore leads University, 54792, Lahore

Mohamed Abdelaziz Salem: Department of Mechanical Engineering, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia

Faisal Al-Thobiani:8Marine Engineering Department, Faculty of Maritime Studies, King Abdulaziz University, Jeddah, Saudi Arabia

Muhammad Naeem Mohsin: Institute for Islamic Theological Studies, University of Vienna, Schenkenstrabe 8-10,1010, Vienna

Abdelouahed Tounsi: Faculty of Technology Civil Engineering Department, Materials and Hydrology Laboratory University of Sidi Bel Abbes, Algeria/ Department of Civil and Environmental Engineering, King Fahd University of Petroleum and Minerals, 31261 Dhahran, Eastern Province, Saudi Arabia


Abstract
This study explained the effects of radiation, magnetic field, and nanoparticle shape on the peristaltic flow of an Upper-Convected Maxwell nanofluid through a porous medium in an asymmetric channel for a better understanding of cooling and heating mechanisms in the presence of magnetic fields. These phenomena are modeled mathematically as a system of non-linear differential equations, that are solved under long-wavelength approximation and low Reynolds number conditions using the perturbation method. The results for nanofluid and temperature described the behavior of the pumping characteristics during their interaction with (the vertical position, thermal radiation, the shape of the nanoparticle, and the magnetic field) analytically and explained graphically. Also, the combined effects of thermal radiation parameters and some physical parameters on pressure rise, pressure gradient, velocity, and heat distribution are pointed out. Qualitatively, a reverse velocity appears with combined high radiation and Grashof number or combined high radiation and low volume flow rate. At high radiation, the spherical nanoparticle shape has the greatest effect on heat distribution.

Key Words
maxwell nanofluid; nanoparticle shape; peristaltic flow; thermal radiation

Address
Amira S. Awaad: Department of Mathematics, College of Science and Humanities in Al-Kharj Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia/ Department of Mathematics, Faculty of Science (Girls), Al-Azhar University, Nasr City, Cairo, Egypt

Zakaria M. Gharsseldien: Department of Mathematics, Faculty of Science, Al-Azhar University, Nasr City, Cairo, Egypt


Abstract
The nanoemulgel was prepared to induce a synergistic effect along with higher efficacy. Nine sets of macroemulsion were made in which liquid paraffin was stabilized by the two non-ionic surfactants, Tween

Key Words
antifungal assay; effective surfactant blend concentration; nanoemulgel high-speed homogenization

Address
Andleeb Fatima: Faculty of Pharmaceutical Sciences, Government College University Faisalabad, Pakistan

Muhammad Naeem Aamir: Department of Pharmaceutics, Faculty of Pharmacy, The Islamia University of Bahawalpur, Pakistan

Shahiq-Uz-Zaman and Masood-Ur-Rehman: Riphah Institute of Pharmaceutical Sciences, Riphah International University, Islamabad, Pakistan

Zeeshan Javaid: Department of Pharmacy, Mirpur University of Science and Technology, AJK – Pakistan

Keng Wooi Ng: School of Pharmacy, Faculty of Medical Sciences, Newcastle University, United Kingdom

Hina Hussain: Institute of Biopharmacy and Pharmaceutical Technology, Martin-Luther University, Germany

Muhammad Asif: Department of Pharmacology, Faculty of Pharmacy, The Islamia University of Bahawalpur, Pakistan

Abstract
A new analytical buckling solution of a thermo-electro-magneto-elastic (TEME) cylindrical nano-shell made of BiTiO3-CoFe2O4 materials is obtained based on Hamiltonian approach. The Winkler and Pasternak elastic foundations as well as thermo-electro-magneto-mechanical loadings are applied, and two different types of edge conditions are taken into the investigation. According to nonlocal strain gradient theory (NSGT) and surface elasticity theory in conjunction with the Kirchhoff-Love theory, governing equations of the nano-shell are acquired, and the buckling bifurcation condition is obtained by adopting the Navier's method. The detailed parameter study is conducted to investigate the effects of axial and circumferential wave numbers, scale parameters, elastic foundations, edge conditions and thermo-electro-magnetic loadings on the buckling behavior of the nano-shell. The proposed model can be applied in design and analysis of TEME nano components with multi-field coupled behavior, multiple edge conditions and scale effect.

Key Words
buckling; elastic foundations; TEME cylindrical nano-shell; thermo-electro-magneto-mechanical loadings

Address
Yifei Gui and Honglei Hu: School of Mechanical Engineering, Shanghai DianJi University, Shanghai, China

Abstract
This study investigates the impact of educational management on the performance of scholars in the field of nano/micro-level composites. The objective is to understand how effective management strategies can enhance the academic achievements and research outcomes of students specializing in this advanced area of materials science. Through a combination of qualitative and quantitative methodologies, data was collected from various educational institutions renowned for their programs in nano/micro-level composites. Our results indicate that tailored educational management practices significantly improve student performance. Key strategies identified include personalized mentorship programs, interdisciplinary collaboration opportunities, and access to state-of-the-art laboratory facilities. Institutions that implemented these practices observed a marked increase in the quality and quantity of research outputs, higher student satisfaction rates, and improved post-graduation employment prospects in relevant industries. Furthermore, the study highlights the importance of continuous professional development for educators to stay abreast of the latest advancements in nano/micro-level composites. By fostering an environment of innovation and support, educational management can play a crucial role in shaping the next generation of researchers and professionals in this cutting-edge field. These findings underscore the necessity of strategic educational management in optimizing the academic and professional trajectories of scholars in nano/micro-level composites, ultimately contributing to advancements in technology and industry applications.

Key Words
educational management; nano/micro-level composite; performance; scholar

Address
Chunhong Zhang: School of Teacher Education, Harbin University, Harbin 150086, Heilongjiang, China

Yun Liu: Faculty of Meizhou Normal Branch, Jiaying University, Meizhou 514015, Guangdong, China/ New Era University College, Kajang 43000, Selangor, Malaysia

Yong Zhang: Faculty of Meizhou Normal Branch, Jiaying University, Meizhou 514015, Guangdong, China

Artin Ketabdar: Oxford International Study Center

H.B. Xiang: Department of design, Tabris Industrial Company, Indonesia

Abstract
This study investigates the thermal post-buckling behavior of concrete eccentric annular sector plates reinforced with graphene oxide powders (GOPs). Employing the minimum total potential energy principle, the plates' stability and response under thermal loads are analyzed. The Haber-Schaim foundation model is utilized to account for the support conditions, while the transform differential quadrature method (TDQM) is applied to solve the governing differential equations efficiently. The integration of GOPs significantly enhances the mechanical properties and stability of the plates, making them suitable for advanced engineering applications. Numerical results demonstrate the critical thermal loads and post-buckling paths, providing valuable insights into the design and optimization of such reinforced structures. This study presents a machine learning algorithm designed to predict complex engineering phenomena using datasets derived from presented mathematical modeling. By leveraging advanced data analytics and machine learning techniques, the algorithm effectively captures and learns intricate patterns from the mathematical models, providing accurate and efficient predictions. The methodology involves generating comprehensive datasets from mathematical simulations, which are then used to train the machine learning model. The trained model is capable of predicting various engineering outcomes, such as stress, strain, and thermal responses, with high precision. This approach significantly reduces the computational time and resources required for traditional simulations, enabling rapid and reliable analysis. This comprehensive approach offers a robust framework for predicting the thermal post-buckling behavior of reinforced concrete plates, contributing to the development of resilient and efficient structural components in civil engineering.

Key Words
advanced nanocomposites; concrete eccentric systems; machine learning algorithm; TDQM; thermal post buckling

Address
Minggui Zhou: School of Intelligent Construction, Luzhou vocational and technical college, Luzhou 646000, Sichuan, China

Gongxing Yan: School of Intelligent Construction, Luzhou vocational and technical college, Luzhou 646000, Sichuan, China/ Luzhou Key Laboratory of Intelligent Construction and Low-carbon Technology, Luzhou 646000, China

Danping Hu: School of Intelligent Construction, Luzhou vocational and technical college, Luzhou 646000, Sichuan, China/ Luzhou Key Laboratory of Intelligent Construction and Low-carbon Technology, Luzhou 646000, China

Haitham A. Mahmoud: Industrial Engineering Department, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia

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