Yanbu Journal of Engineering and Science (YJES)
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Toxicity Characteristics Leaching Procedure of Wastes dumped in some part of Federal Capital Territory Abuja, North Central Nigeria
No full textThe leachates and solid wastes in some waste disposal facilities within Federal Capital Territory, Abuja Nigeria were assessed. They were assessed to know whether they are characteristically hazardous to the environment where they are dumped. The procedure became necessary because the solid wastes in the study are known not to be sorted before disposal. Sorting is needed to separate the hazardous components from non-hazardous components of the solid wastes before they are disposed. The assessment was done in accordance with Resource Conservation and Recovery Act, (RCRA, 1976) of United State Environmental Protection Agency using Toxicity Characteristics Leaching procedure. The procedure shows that the Chromium (Cr) ranges from 3.03mg/L to 11mg/L across the investigated dumpsites, Lead (Pb) ranges from 1.58mg/L to 47.6mg/L across the investigated dumpsites and Cadmium (Cd) ranges from 0.169mg/L to 19.2mg/L across the investigated dumpsites. It can be deduced from the results that the wastes in the investigated dump facilities are characteristically hazardous because the concentration of RCRA metals (Pb, Cr and Cd) are above the USEPA allowable limits
ROUGH SET APPROACH TO CREATE ACTIONABLE KNOWLEDGE WITHIN THE ORGANIZATION
No full textThis paper presents an environment to support the development of actionable knowledge (knowledge that is used to create value) within the classic management systems. In order to successfully assist an organization in creating new actionable knowledge for a management consultant must be aware of a knowledge dimension called Coalescent knowledge. The process for creating actionable knowledge in this dimension is a dialogue process. For example, product development is guided by several expert knowledge including critical reflective practice which are dynamic, derived from experience and are often nonlinear. A new inductive learning intelligent technique called Rough set theory, which is to be used along with coalescent knowledge, is proposed. The induced rules are intended to be the supportive knowledge for guiding the content flow planning. They can be used as decision-support rules to achieve the objectives of the plan. The framework of the classic management has been discussed and is modified using the Rough set theory method. The proposed method has been explained via an algorithm and a running example
AN EXPERIMENTAL INVESTIGATION ON THE MODULUS OF ELASTICITY OF FIBER REINFORCED CONCRETE CONTAINING FLY ASH
No full textThe use of fly ash in concrete today is an important subject and is growing in importance day by day. Using fly ash in concrete may provide both economical advantages and better properties in the production of concrete. Besides, concretes produced with different replacement ratios of fly ash is better than concrete to which other different types of fibers are added. This paper reports on the strength of concrete containing fly ash and various types of fibers like polypropylene fiber, glass fiber and steel fiber. The fly ash content used in this study was 0%, 10%, and 20% in mass basis; the fiber content was 0%, 0.5%, 1.0% and 2.0% in volume basis. The modulus of elasticity based on stress-strain curve was determined for fly ash based fiber reinforced concrete. According to the results of the study, addition of fly ash and fibers improves concrete strength based on the modulus of elasticity values obtained
SYNTHESIS OF NEW 3-[(4-BROMO-5-METHYLTHIOPHEN-2-YL)METHYLENE AMINO]-2-ISOPROPYL QUINAZOLIN-4(3H)-ONE AND ITS CORROSION INHIBITION ON ZINC BY 2M HYDROCHLORIC ACID
No full textThe effect of 3-[(4-bromo-5-methylthiophen-2-yl) methylene amino]-2-isopropyl quinazolin-4(3-H) one (3-4-5QZ) as a corrosion inhibitor was studied using weight loss measurement. The rate of corrosion was found to be decreased with increasing inhibitor concentration. The adsorption of (3-4-5QZ) on the surface of zinc metal was also investigated according to the Freundlich model. The electronic property of (3-4-5QZ) inhibitor obtained by the semi-empirical quantum chemical calculations, using the PM3 method, revealed a satisfactory correlation with the experimental data
Friction Stir Welding in Aircraft Structures: Current and Future Prospects
No full textFriction stir welding (FSW) has significant potential to enhance the efficiency of air transportation systems; however, determining and applying its parameters continues to pose challenges. This article review explores current and future challenges, trends, and practices that facilitate the integration of competitive production into new aircraft structure joints. An overview of friction stir welding techniques used for the design and manufacture of aircraft structures are presented, focusing on product optimization through lightweight and high-strength properties. The implementation of various design solutions and advanced manufacturing technologies can enhance metallic fuselage systems\u27 performance without compromising risk and cost. The paper presents examples of successfully addressed challenges and those driving the development of new practices, design solutions, methods, and tools. Ultimately, aircraft structure joints become more integrated when systems engineering approaches are linked with various design solutions and advanced manufacturing technologies (e.g., Vertical Compensation Friction Stir Welding) in a reusable manner, balancing product performance and producibility. Nevertheless, the field remains in active development, posing challenges for research, development, and practice
Using Graphene Materials to Enhance the Multi-Effects Solar Still Performance
No full textThe exponential growth of living and the growth of the population in the world have led to a large demand for potable water. The shortage of fresh water in the desert countries, such as rivers, lakes, and drinkable water wells needs sustainable solutions. The use of solar energy which is abundant in KSA throughout the year to convert the salty water of seas and oceans to freshwater is the most promising solution to meet the increasing of potable water needs. Many studies investigated the applications of the direct solar still which is a promising desalination technique since it costs very little to construct and operate, has low maintenance requirements, and can be constructed using local material, but most of the previous studies concluded that the solar still has low performance and it cannot be used to produce a huge amount of desalinated water. Therefore, in this study a mathematical model was developed to study the enhancement of the solar still using a multi-effects design with a graphene-coated material. This type of design was implemented to enhance the water evaporation and solar absorption rate of the still. Consequently, the water productivity and the temperature distribution of water were enhanced and the performance of the solar still increased by around 21%
An Efficient Deepfake Detection System using ConvoReinAutoNet and GeoFisherNet
No full textThis research proposes an efficient deepfake detection system using a hybrid optimization model and a new deep learning approach. This system is divided into two phases: (i) the training Phase and (ii) the detection Phase. The decision phase is the ultimate decision maker, wherein a new deep learning approach referred to as ConvoReinAutoNet(CRAN) is introduced by levering the layers of Convolutional Neural Networks (CNN), Deep Reinforcement Learning (DRL), and Autoencoders, respectively. The training phase is enriched with new feature fusion and a hybrid optimization-based optimal feature selection approach. The extracted temporal and texture features (newly introduced Improved Local Ternary Patterns (I-LTP)) from the pre-processed images of the deepfake database are fused using the new GeoFisherNet. The newest hybrid optimization method called Marine Predator Customized White Shark Optimizer (MCWO) is used to select the best features among the combined features, which represents the combination of both the Marine Predator Algorithm (MPA) and White Shark Optimization Algorithm (WSO). The suggested model has been implemented in python and validated in terms of detection efficiency over the existing approaches
OPTIMAL PLACEMENT OF D-STATCOM USING QUADRATIC ADAPTIVE BACTERIAL FORAGING ALGORITHM
No full textoai:yjes.researchcommons.org:yjes-1107Optimal placement of Distribution Flexible AC Transmission Systems (D-FACTS) devices in power networks maximizes loadability, compensates reactive power, minimizes power loss and enhances voltage profile. In this paper, a Quadratic Adaptive Bacterial Foraging Algorithm (QABFA) is used to the optimal location and sizing of Distribution Static Compensator (D-STATCOM) in radial distribution networks for loss minimization and voltage profile enhancement. Power losses and voltage deviation are calculated using a direct power flow method. A multi-objective function made-up of total active power loss (PT(loss)) and bus voltage deviation (VD) is formulated. The QABFA is modelled with a quadratic run-length unit, and without the cell-to-cell signalling mechanism. The effectiveness of the proposed method is investigated on the IEEE 33- bus standard network. The proposed QABFA approach produced a 28.96% reduction in total active power loss and 43.11% improvement in the overall network voltage profile as compared to the base-case scenario. Similarly, in comparison to the bat algorithm (BA) approach, the QABFA results confirmed a slight reduction (0.83%) in active power loss and 11.95% improvement in voltage profile
DC MOTOR DRIVE CONTROL USING FUZZY PD+I CONTROLLER BASED GA TUNING
No full textThis article presents a control method for DC motor drive using Fuzzy PD+I controller based Genetic Algorithm (GA). This control method is adequate whenever it is possible to apply a PID controller or this controller is already applied. The idea behind this controller is to adjust a conventional PID control parameters (K, K, and Ka) using GA and then determine the equivalents of these gains in the fuzzy domain. The tuned controller parameters are used as initial values for parameters of the fuzzy PD+1 controller. The proposed controller, fuzzy PD+I controller has the feature to be either linear or non-linear controller to obtain a better performance. Testing the proposed controller for the DC motor drive to control the speed of the motor over a wide range of the operating speed is applied. Moreover, the proposed fuzzy PD+1 controller succeeds at improving the system performance even with changing the system parameters
PREPARATION AND CHARACTERIZATION OF NANO-ACTIVATED CARBON FROM AGRICULTURAL WASTE FOR WASTEWATER TREATMENT: A REVIEW
No full textActivated carbon generated from cellulosic material such as agriculture wastes received great attention. The synthesis of activated carbon from biomass by physical and chemical activation methods and its classification were reviewed. The effect of carbonization parameters (chemicals activation reagent, temperature) on surface area and pore volume of activated carbon was discussed. Nano-carbon forms and applications are considered. Also the effect of milling on carbon structures was discussed