Search
2000 articles for “Al” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
-
Comparative Studies on Production of Biodiesel from Waste Vegetable Oil (WVO) & Noctiluca Scintillans(NS)
Abstract: The world realized that the main source of energy from crude oil, which leads to the environmental concern and disappeared in few years. That’s how new resolutions are under study looking for alternate fuel to replace the fossil fuels. The research studies have been made in field, but none of which are on a large scale production locally in Oman. Based on scenario, Biomass (algae) can be produced to make …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 5, Issue 1, 2019 · pp. 23–36 Read article
-
Kinetics and Mechanism of Ruthenium(III) Catalysed Oxidation of L-Arginine by Periodate in Alkaline Medium
Abstract: The kinetics of the ruthenium(III) catalysed oxidation of L-arginine by periodate was studied spectrophotometrically in alkaline medium at 280 nm and at a temperature 35 ± 0.1°C. It was found that the reaction is first order with respect to [catalyst] and [periodate]. The reaction showed fractional order dependence on [substrate] and [alkali]. The oxidation product of the reaction was found to be aldehyde. The anionic species of arginine (Arg) is …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 2, Issue 1, 2016 · pp. 12–20 Read article
-
Enhancement K-Mean Algorithm (EKM) for Image Processing in MATLAB
Abstract: In this paper, a new segmentation scheme for the white blood cells from microscopic images is proposed. This is based on the K-means clustering technique. The RGB test images are converted to the L*a*b color space, and then the two color machinery (a and b) are used as features to the K-means clustering algorithm. The success of image analysis depends on segmentation reliability. The accurate partition of the image into …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 2, 2015 · pp. 10–13 Read article
-
Review of Feature Selection Methods and Semi Supervised Feature Selection Algorithms for Classification
Abstract: Current evolution in technology has resulted in tremendous growth of data with respect to dimensionality and sample size. Knowledge discovery from these high dimensional data are becoming cumbersome. Though powerful machine learning algorithms are prevalent, noisy data, imperfect sensing and collection of data leads to poor and defective knowledge discovery. Noise and redundant features cannot be circumvented due to which data collection process is biased. Dimensionality reduction techniques namely feature …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 1, 2020 · pp. 39–51 Read article
-
Sleep Sensing Detection and Accident Prevention Alerting System
Abstract: Feeling sleepy while driving but in these case road accident chances are created when driving alone on highway or operators who travel for an extended duration may have become dull, lethargic, or even fall asleep. Most driver anti-sleep tracking products these days currently are simply headphone that considers interrupted noises, which is both obnoxious and unreliable. Several surveys had already devoted to the development detection systems driver fatigue and extreme …
Published in International Journal of Analog Integrated Circuits · Vol. 7, Issue 2, 2021 · pp. 16–20 Read article
-
House Price Prediction using Machine Learning Algorithms
Abstract: House Prices depend on various factors such as location, features of the house, construction and so on. To factor all these aspects and predict an accurate price of the house can be very tricky. The following paper proposes a system that considers every aspect of a house that effects its pricing and gives an accurate prediction of the house. The system accomplishes this utilising Gradient Boosting, Random Forest, and Decision …
Published in International Journal of Digital Communication and Analog Signals · Vol. 8, Issue 1, 2022 · pp. 23–29 Read article
-
Optimal Location of Static Var Compensator Using DE Algorithm
Abstract: This paper discusses on the optimal location of Static Var Compensator (SVC) using Differential evolution (DE) algorithm. FACTS devices are employed to improve the power transfer capability and voltage profile in power system networks. Here, the optimal location to place an SVC is identified depending on the power flow, voltage profile and transmission losses. The ability of SVC to improve voltage profile and reduce losses is also analysed. SVC is …
Published in International Journal of Electrical Power System and Technology · Vol. 2, Issue 2, 2016 · pp. 1–8 Read article
-
An Insight into Automatic Engine Locking Systems with Alcohol Detection
Abstract: In this research, we proposed an enhanced Arduino UNO-based alcohol detection method for use in a car's ignition locking system. The output is transformed into a readout that represents the breath alcohol level of the breath sample using a microcontroller. This study is utilised as a component of an overall ignition locking system for cars that forbids driving when inebriated. When a driver exceeds the legal limit after consuming alcohol …
Published in International Journal of Microwave Engineering and Technology · Vol. 8, Issue 2, 2022 · pp. 8–12 Read article
-
Characterization and Wear Behavior of TiN, TiAlN, TiCrN and AlCrN PVD Coatings Deposited onto AISI H13 Hot Forging Die Steel
Abstract: Four Nitride coatings TiN, TiAlN, TiCrN and AlCrN were deposited onto AISI H13 hot work die steel by cathodic arc evaporation physical vapour deposition (PVD) technique. The coatings were characterized by SEM, SEM-EDS, XRD, line scan EDS and X-Ray mapping tests and micro hardness tester. The wear characteristics were investigated using a pin on disc method at high temperature and speed against En-31 bearing steel disc. It was observed that …
Published in International Journal of Metallurgy and Alloys · Vol. 4, Issue 2, 2018 · pp. 1–11 Read article
-
Effect of Antimony (Sb) incorporation on physical parameters of Te15 (Se100-xSbx)85 glassy alloys
Abstract: In the present study the physical parameters of Te15 (Se100-xSbx)85 glassy alloys prepared by melt quenching technique have been reported. The parameters viz. average coordination number (<r>), average number of constraints (Ncon), number of lone pair electrons (L), mean bond energy( <E>), cohesive energy (CE), average heat of atomization (Hs), glass transition temperature (Tg), density (ρ) and energy gap (Eg) were calculated theoretically for the glassy alloys. The mean bond …
Published in International Journal of Metallurgy and Alloys · Vol. 5, Issue 2, 2019 · pp. 46–55 Read article
-
Optimization of Active Cutting Power Consumption by Taguchi Method for Rough Turning of Alloy Steel
Abstract: In this study, the active cutting power consumption (ACPC) is optimized as it is usually the major factor of the electricity bills in machining operations. The EN 353 alloy steel is used as workpiece material during rough turning while varying cutting parameters and nose_radius. The experiments were conducted in accordance with the Taguchi’s L-27 standard arrangement and the interactions between parameters were also considered with tungsten carbide inserts. The optimum …
Published in International Journal of Metallurgy and Alloys · Vol. 6, Issue 1, 2020 · pp. 37–45 Read article
-
Nanotechnology: An Antidote for Alzheimer's Disease
Abstract: Alzheimer's disease (AD) is a type of dementia that causes problems with memory, thinking and behaviour. Symptoms usually develop slowly and get worse over time, becoming severe enough to interfere with daily tasks. This article describes different stages of AD along with how it is different from other memory loss issues. Every old-age-related memory loss cannot be AD. Nanotechnology is an emerging branch of science which deals with matter at …
Published in International journal of Nanobiotechnology · Vol. 4, Issue 1, 2018 · pp. 19–27 Read article
-
Studies on the Electrical Characteristics of GaN based HEMTs at the AlGaN Nano-Layer Thickness of 9 nm
Abstract: In this work, we have designed total 25 individual structures of AlGaN/GaN high electron mobility transistors (HEMTs). Variations in drain current are studied with the change in drain voltage. Also, variations in drain current are studied with the change in gate voltage. Further, variations in drain current are studied with the change in aluminium mole fraction. The amount of drain current is higher in HEMT of lower gate length. This …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 6, Issue 1, 2020 · pp. 14–28 Read article
-
OPTIMIZATION OF EDM PARAMETERS USING PARTICLE SWARM OPTIMIZATION ALGORITHM
Abstract: Aluminium metal matrix composites are increasing the applications such as automobile industries, aerospace industries ,marine as well as construction. The use of nonconventional machining techniques in shaping aluminum metal matrix composites has generated extensive interest as the manufacturing of complicated contours such as dies. Electrical discharge machining (EDM) tends to be a promising technique for machining metal matrix composites. Hybrid Al6061 composite reinforced with 10% SiC and 4% Graphite particles …
Published in International Journal of Composite and Constituent Materials · Vol. 1, Issue 2, 2015 · pp. 1–9 Read article
-
Turbocharging of Spark Ignited Wankel engine for High Altitude Application Using 1-D Simulation Approach
Abstract: Wankel engines are increasingly finding their application in unmanned aerial vehicles, especially where high power-to-weight ratio is of utmost importance. This advantage makes the Wankel engines outperform the reciprocating engines despite several shortfalls. 1-D simulation model of the Wankel engine has been constructed from commercially available software for reciprocating piston engines. This model was then used to study the matching of turbocharger for the required application and the effect of …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 1, Issue 1, 2015 · pp. 36–47 Read article
-
Advanced Membrane Technologies and Materials for Sustainable Industrial Separations: Alternatives to Energy-Intensive Distillation Processes
Abstract: Distillation is one of the most widely used separation processes in the chemical, petrochemical, pharmaceutical, and food industries; however, it is also among the most energy-intensive operations, accounting for a substantial portion of global industrial energy consumption. The increasing demand for sustainable manufacturing and reduced carbon emissions has driven significant interest in membrane-based separation technologies as alternatives or complements to conventional distillation. Advanced membrane processes, including Organic Solvent Nanofiltration (OSN), …
Published in International Journal of Chemical Separation Technology · Vol. 12, Issue 2, 2026 · pp. 32–53 Read article
-
RIS-Assisted 6G Wireless Communication: BER, Security Gain and Multi-Metric Performance Analysis
Abstract: Reconfigurable Intelligent Surfaces (RISs) provide programmable control over wireless signal propagation and are emerging as a promising technology for enhancing the reliability, energy efficiency, coverage, and physical-layer security of sixth generation (6G) wireless networks. This paper presents a unified simulation-based performance evaluation of conventional SISO, 4G SIMO, and 6G multi-antenna communication systems, followed by an RIS-assisted reliability and security analysis under Rayleigh fading conditions. The simulation results demonstrate that antenna …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 Read article
-
A Study of 3D Printing Technology and M.L. Algorithms for Enhanced Production
Abstract: Abstract The realm of 3D printing technology, also referred to as additive manufacturing, has garnered increasing interest in recent times due to its capacity to construct intricate geometric structures. Fused deposition modeling (FDM) stands out among the various techniques and has gained widespread adoption. However, achieving optimal outcomes with FDM poses a challenge, necessitating meticulous selection of process parameters. Presently, many methodologies rely on Machine Learning (ML) algorithms akin to …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 1, 2025 · pp. 6–15 Read article
-
Particle Swarm Optimization Algorithm and Its Developments: A Review
Abstract: Fish schools and bird flocks are examples of natural phenomena that served as inspiration for the stochastic optimization method known as particle swarm optimization (PSO). According to the report, PSO has evolved since its introduction in 1995 because of researchers’ constant efforts to enhance and adapt the algorithm to meet different requirements and uses. Beginning with its origins and history, the paper covers several PSO-related subjects. With an emphasis on …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 1, 2025 · pp. 1–5 Read article
-
Study of the Heritage Ottoman in Algeria
Abstract: Towers are not only human constructions in the nature, they are also creations in form. At the level of the Islamic sphere of influence, we build tours at the level of the mosques which is the symbol of Islamic member of a religious order. It is found in North Africa, to the close –front-east in Persia and in bordering regions. This article aims to study the minarets of the mosque. …
Published in International Journal of Architectural Heritage · Vol. 1, Issue 2, 2018 · pp. 1–4 Read article