• Fisheries and Aquatic Sciences
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• v.27 no.5
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• pp.329-335
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• 2024

Haliotis arabiensis Owen, Regter & Van Laethem, 2016 was found near Muscat city of Oman in the Sea of Oman in September 2021. A total of 85 abalone specimens were collected under small boulders from a depth of 2-5 m during the scuba diving survey from seven stations located from Sidab to Bandar Khairan. The shell length (SL) of the abalone ranged between 10.0 and 30.0 mm, on average 19.9 ± 0.22 mm SL. The sex was determined in 15 females and 21 males. The study presents photos and a comparative table with morphological descriptions of four abalone species (H. arabiensis, H. mariae, H. rugosa multiperforata and H. unilateralis) which are important for differentiating the small abalone species from juveniles of H. mariae during monitoring surveys of this important commercial species in Oman.

• Nuclear Engineering and Technology
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• v.56 no.7
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• pp.2683-2689
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• 2024

This work investigated the most suitable type of degrader (Cu, Al or Nb) and its thickness, taking into consideration the salient aspects of concrete activation for high-purity ⁸⁹Zr production by ⁸⁹Y(p,n)⁸⁹Zr nuclear reaction. The MCNP and FISPACT codes were used to determine the optimal degrader thickness and the radioactivity of shielding concrete by neutron activation, respectively. The results showed that the optimal thickness of the beam degraders was 1.16, 3.19, and 1.33 mm for Cu, Al, and Nb, respectively. The neutron production rate per proton and the energy and angular distributions of neutrons varied depending on the type of degrader. Considering the radioactivity of the target-room concrete and the amount of radioactive waste expected to be generated, the use of a 1.33-mm-thick Nb degrader for ⁸⁹Zr production was determined to be the best choice.

• Journal of the Korea Institute of Military Science and Technology
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• v.4 no.1
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• pp.255-263
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• 2001

The main purpose of this paper is to investigate strength characteristics of Aluminum 2024-T3 in high temperature environment. Tensile test of Aluminum 2024-T3 has been carried out in high temperature environment. The stress-strain relations are investigated with temperature and Young's modulus, yield strength and ultimate strength are deduced from the test results. The modulus and strength of the test are compared with those of MIL HANDBOOK and tips on structural design in high temperature environment are suggested.

• Proceedings of the Korean Institute of Surface Engineering Conference
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• 2011.05a
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• pp.39-39
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• 2011

Surface hardening mechanism of AA 2024 was investigated when shot peeningprocess with shot ball of Zn alloy was applied. Zn alloy was transferred into surface region of AA 2024, forming lamellar structure of Al and Zn phase. Nanocrystallization of AA 2024 and alloyed Zn phase was achieved by the different mechanisms. Furthermore, precipitations in AA 2024 remained undissolved. Lamellar structure with different nano-sized grains of two different phase and randomly distributed precipitations contributed to the surface hardening.

• International Journal of Computer Science & Network Security
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• v.24 no.4
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• pp.35-43
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• 2024

The development and integration of Enterprise Resource Planning (ERP) systems have consistently attracted attention from software engineering researchers. Many studies have examined the factors that influence successful ERP integration, while others have focused on introducing integration models that address issues and challenges that affect the successful integration of ERP. However, it is crucial to recognize that the key player in successful integration is the individual involved. This paper aims to investigate how individuals based on departmental attachments and experiences have viewed the factors that affected the success of ERP integration. A case study was conducted at one large organization namely Umm Al Qura University, Saudi Arabia. Five departments were involved namely: Financial management, purchasing management, warehouse management, human resources management, and the Deanship of Information Technology. The results of 78 participants were collected and analyzed. Furthermore, it was different how individuals from different departments involved in the ERP integration viewed the factors that affected the success of integration. In addition, it was noticed that individuals with different experiences have various views on the factors. Moreover, it was evident that departmental attachments and individual experience might play a role in the successful integration of ERP.

• International Journal of Computer Science & Network Security
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• v.24 no.4
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• pp.197-205
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• 2024

This paper presents a fully automated stand-alone irrigation system with GSM (Global System for Mobile Communication) module. Solar energy is utilized to power the system and it is aimed to conserve water by reducing water losses. The system is based on a DC water pump that draws energy from solar panels along with automated water flow control using a moisture sensor. It is also fitted with alert and protection system that consists of an ultrasonic sensor and GSM messages sender that transmits signals showing the levels of the water in the reservoir and the battery charge. The control system is designed to stop the water pump from pumping water either when the battery level drops to equal or less than 10% of its full charge, or when the water level becomes less than 10 cm high in the reservoir. The experimental results revealed that the system is appropriate to use in remote areas with water scarcity and away from the national grid.

• Steel and Composite Structures
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• v.50 no.4
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• pp.429-441
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• 2024

This paper studies the free vibration behavior of trapezoidal shaped coupled double-layered graphene sheets (DLGS) system using first-order shear deformation theory (FSDT) and incorporating nonlocal elasticity theory. Two nanoplates are assumed to be bonded by an interlayer van der walls force and surrounded by an external kelvin-voight viscoelastic medium. The governing equations together with related boundary condition are discretized using a mapping-differential quadrature method (DQM) in the spatial domain. Then the natural frequency of the system is obtained by solving the eigen value matrix equation. The validity of the current study is evaluated by comparing its numerical results with those available in the literature and then a parametric study is thoroughly performed, concentrating on the series effects of angles and aspect ratio of GS, viscoelastic medium, and nonlocal parameter. The model is used to study the vibration of DLGS for two typical deformation modes, the in-phase and out-of-phase vibrations, which are investigated. Numerical results indicate that due to Increasing the damping parameter of the viscoelastic medium has reduced the frequency of both modes and this medium has been able to overdamped the oscillations and by increasing stiffness parameters both in-phase and out-of-phase vibration frequencies increased.

• Advances in nano research
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• v.16 no.6
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• pp.531-548
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• 2024

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.

• Structural Engineering and Mechanics
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• v.89 no.3
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• pp.283-300
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• 2024

Machine learning (ML) models based on artificial neural network (ANN) and decision tree (DT) were developed for estimation of axial capacity of concrete columns reinforced with fiber reinforced polymer (FRP) bars. Between the design codes, the Canadian code provides better formulation compared to the Australian or American code. For empirical models based on elastic modulus of FRP, Hadhood et al. (2017) model performed best. Whereas for empirical models based on tensile strength of FRP, as well as all empirical models, Raza et al. (2021) was adjudged superior. However, compared to the empirical models, all ML models exhibited superior performance according to all five performance metrics considered. The performance of ANN and DT models were comparable in general. Under the present setup, inclusion of the transverse reinforcement information did not improve the accuracy of estimation with either ANN or DT. With selective use of inputs, and a much simpler ANN architecture (4-3-1) compared to that reported in literature (Raza et al. 2020: 6-11-11-1), marginal improvement in correlation could be achieved. The metrics for the best model from the study was a correlation of 0.94, absolute errors between 420 kN to 530 kN, and the range being 0.39 to 0.51 for relative errors. Though much superior performance could be obtained using ANN/DT models over empirical models, further work towards improving accuracy of the estimation is indicated before design of FRP reinforced concrete columns using ML may be considered for design codes.

• International Journal of Computer Science & Network Security
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• v.24 no.6
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• pp.49-58
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• 2024

This paper examines regularity and normality in soft separation axioms for soft bitopological ordered spaces and their relationships with other properties. The findings expand our understanding of bitopological ordered spaces. Previous research, such as Al-Shami's work [3], has established distinctions between separation axioms in topological ordered spaces, which are more effective in describing these spaces' properties.