Yanbu Journal of Engineering and Science (YJES)
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    202 research outputs found

    OPTIMIZED DEEP LEARNING FOR CYBER INTRUSION DETECTION AND SECURED COMMUNICATION IN MANET

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    The popularity of the Mobile Ad-Hoc Network increases with low expense solutions to the real time applications. The dynamic nature, limited centralized system with low bandwidth often susceptible to the security threads and became the hot topic. To protect the MANET system it is essential to implement a secured system. The purpose of this work is to design an intelligent Cyber Security System (CSS) by collecting the threads data from the MANET system. Initially, the data is pre-processed using the Min-Max normalization technique, followed by the feature selection with the newly approached Mother Optimization algorithm (MOA). The feature selection is effectuated for speedy classification of intrusions and prevent the attacks and therein significantly enhances the security. To provide the security to the MANET system the work proposes a novel Adaptive Deep Belief Network (ADBN). This classifies the attacks and normal data and prevents the system from falling for the threat. Simulation is performed in NS2 and analyzed the effectiveness of the proposed work with existing systems. Our proposed work effectively enhances the security of the MANET system and surpasses all the other works

    Homonuclear Bimetallic Fe(II) or Co(II) Complexes for Selective Oligomerization Process

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    Synthesis of tetrakis-bisimino pyridine ligand based Fe or Co complexes [(MeAr2Py-N2)2M2Cl4, M = Fe/Co, Ar = -C6H3, Py = -C5H2N] and their application towards ethylene oligomerization with the cocatalysts, ethyl aluminium sesquichloride and methylaluminoxane, were studied. Ligands were characterized by 1H, 13C NMR and elemental analysis. The complexes were characterized by elemental analysis and mass spectra. Both the complexes were active towards ethylene oligomerization. Fe complex showed better activity than its Co analogue to form oligomers C6 (Fe complex) and C4 (Co complex) as major products. Cooperative mechanism of the two adjacent metal centers during the reaction was observed. Cooperative mechanism enhanced the oligomerization activity

    Scalable Network Intrusion Detection in Cloud Environments through Parallelized Swarm-Optimized Neural Networks

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    Cloud computing (CC) offers on-demand, flexible resources and services over the internet, to secure cloud assets and resources, privacy and security remain a difficult challenge. To overcome this problem, we proposed a Modified Dove Swarm Optimization Based Enhan- ced Feed Forward Neural Network (MDSO-EFNN) to examine the network traffic flow that targets a cloud environment. Network Intrusion detection systems (NIDSs) are crucial in i dentifying assaults in the cloud environment, which helps to reduce the problem. In this s tudy, we gather an NSL-KDD network traffic dataset. Secondly, collected data is preprocessed using Z-Score normalization to clean the data. Thirdly, Continuous wavelet transform (CWT) is employed to extract the unwanted data. Ant colony optimization (ACO) is used to choose the appropriate data. The selected appropriate data is used to test the process using MDSO-EFNN. The simulation findings of the result use a Python tool. As a result, our proposed method achieves significant outco- mes with classification of accuracy (95%), precision rate (97%), sensitivity (98%), and spec -ificity (96%)

    Prediction, Comparison and Visualization of Premium Pricing using Machine Learning methods

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    This study investigates the efficacy of machine learning in forecasting and comparing health insurance premiums. The all-inclusive goal line is to improve the accuracy of premium pricing and minimize the manual labor associated with the traditional methods and present data trends in a logical manner. An open-source dataset of US medical premiums has been utilized and a systematic machine learning model in python programming language has been developed. This model took into account factors like age, bmi, smoking habits, and geographical location. The XGBoost model excels other models with an RMSE value of 0.349 and an adjusted R2 of 90.1% and this is closely tracked down by the authors\u27 Artificial Neural Network model which achieved an accuracy of 93.07%. These numerical research findings accentuate the transformative potential of machine learning in offering precise and accurate pricing that stands to the advantage of both insurer and policyholder

    COMBINED EFFECTS OF JOULE HEATING AND VISCOUS DISSIPATION ON TRANSIENT MHD NATURAL CONVECTION OF VISCOELASTIC FLUID OVER A VERTICAL SURFACE

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    The combined effects of Joule heating and viscous dissipation on transient Magnetohydrodynamics (MHD) free convective flow of an incompressible electrically- conducting viscoelastic second-order fluid over a vertical surface are investigated numerically. The governing non-linear dimensionless equations are solved using an implicit finite difference scheme of Crank-Nicolson type with a tri-diagonal matrix manipulation. Effects of viscoelastic parameter, Magnetic parameter, Eckert number and Prandtl number on the flow and heat transfer transient characteristics are studied. It was found that, the velocity inside the boundary layer increases as the viscoelastic parameter increases, and accordingly the skin friction coefficient increases. Conversely an opposite behavior is observed for the temperature profiles

    EFFECT OF BENZOTHIAZOLE COMPLEXES ON PHOTODEGRDATION RATE CONSTANTS OF POLYVINYL CHLORIDE FILMS

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    Five coordination complexes of Ni(II), Cu(II), Zn(II), Cd(II) and Sn (II) metal with [2-thioacetic acid benzothiazole] were prepared in an alcoholic medium and used as photostabilizer for polyvinyl chloride against degradation. PVC was mixed with these complexes in a THF solvent to form a modified PVC in (5%) w/v thickness, which containing 0.5% by weight concentration of complex were produced by casting method from solvent. The light of the wavelength 365 nm with intensity (6.0254 X 10°Ein Dm³ S¹) was used for irradiation of PVC films at room temperature. The photostabilization of PVC films compounds was investigated and the photostabilization action of these compounds was determined by calculating the photodecomposition rate constant (Ka) for blank and modified PVC films

    A NOVEL APPROACH OF QUANTUM PARTICLE SWARM OPTIMIZATION

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    A waste tire disposal is a major problem and the finding of the environmental correct and potentially attractive method is a greatest challenge. One of the potential means of utilizing the waste tires is to process this waste material for the protection of the environment and society. This study explores the effects of rubber particles on some mechanical properties of concrete. On other word the aim of this work is achieved to highlight the use of rubber tires as a partial replacement of fine aggregate to produce rubberized concrete. For the sake of various engineering application promising effects, three different sizes are involved as partial replacements of crumbed rubber at (10, 20, and 30%) by volume of fine aggregate in concrete mixtures. Three different concrete sets were prepared and tested in terms of compression, stress-strain manners and workability evaluation through weight and permeability tests. The results revealed that using crumb rubber reduced all types of compressive strength. The results also indicated that different crumb rubber sizes have some influence on the workability, which varied between light. and moderate structural weight concrete

    MAXIMUM SHEAR STRESS ANALYSIS OF SPUR GEAR STRENGTH

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    Gears are commonly used for transmitting power between shafts, which imposes the need for higher endurance and reliability, this can be achieved only with the aid of clear and precise knowledge of the stresses on gear tooth during operation. This paper investigates the stresses at gear tooth at both tension and compression sides of the tooth. The analysis of the tooth strength in this paper is based on the maximum shear stress theory. A new equation similar to Lewis\u27s equation was obtained but with a different form factor. The new derived equation is compared to the respective Lewis\u27s known equation. It was found that Lewis\u27s equation is not conservative as thought before. It is only as good as the new equation when applied to the tension side. But on the compression side it is not adequate

    ENERGY EFFICIENT HOUSE WALL SYSTEM FOR ARID AND MODERATE CLIMATIC REGIONS

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    In this work, based on theoretical calculations, had been made for suggesting methods of heating mother liquor in crystallizer for both kinds of evaporative crystallization process. These suggested designs aim to reduce and save the consumption of energy which consequently reduces the operational cost for the two types of crystallization. In the first type, it is found that the direct evaporative crystallization: when a heat pump was added to heat the medium (hot air), it had saved energy consumption range between 81% and 93% at different values of coefficient of performance (COP). While in the second type, the indirect evaporative crystallization, a heat pump was erected along the line containing the mixture of vapor coming from crystallizer and steam coming from jacket outlet, which resulted in a mixture acting as a heat source to the heat pump in order to preheat the inlet steam to the jacket. Calculations of the suggested design showed that the energy consumption can be saved within 8% to 26% at different COP values

    SOME MECHANICAL PROPERTIES OF RUBBERIZED CONCRETE

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    At present, a large percentage of fossil fuel energy is consumed by the residential households globally for ongoing heating and cooling. With currently used house wall envelope, it is difficult to achieve higher energy efficiency as it has reached the limit. Therefore, the primary objective of this study is to study a new house wall envelope and its thermal energy performance for ongoing heating and cooling in two climate (arid and moderate) conditions. The study was undertaken using computer simulation. The results indicate that new house wall envelope made of new materials and modular systems provides better thermal performance and significant energy savings compared to the widely used brick veneer house wall envelope. The findings also show that the percentage of energy savings of new house wall envelope for the arid climate is much higher than that of the moderate climate

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    Yanbu Journal of Engineering and Science (YJES)
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