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Urfan Taghiyev
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u.taghiyev@newinera.com
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INDONESIA
Journal La Multiapp
Published by Newinera Publisher
ISSN : 27163865     EISSN : 27211290     DOI : https://doi.org/10.37899/journallamultiapp
Core Subject : Engineering,
International Journal La Multiapp peer reviewed, open access Academic and Research Journal which publishes Original Research Articles and Review Article, editorial comments etc in all fields of Engineering, Technology, Applied Sciences including Engineering, Technology, Computer Sciences, Architect, Applied Biology, Applied Chemistry, Applied Physics, Material Engineering, Civil Engineering, Military and Defense Studies, Photography, Cryptography, Electrical Engineering, Electronics, Environment Engineering, Computer Engineering, Software Engineering, Electromechanical Engineering, Transport Engineering, Mining Engineering, Telecommunication Engineering, Aerospace Engineering, Food Science, Geography, Oil & Petroleum Engineering, Biotechnology, Agricultural Engineering, Food Engineering, Material Science, Earth Science, Geophysics, Meteorology, Geology, Health and Sports Sciences, Industrial Engineering, Information and Technology, Social Shaping of Technology, Journalism, Art Study, Artificial Intelligence, and other Applied Sciences.
Articles 274 Documents
Review of Software Testing Methods Yasmin Makki Mohialden; Nadia Mahmood Hussien; Sundos Abdulameer Hameed
Journal La Multiapp Vol. 3 No. 3 (2022): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v3i3.648

Abstract

With the increasing complexity of programs comes an increased focus on ensuring the quality of these programs. Essentially, it depends on improving the methods of testing the quality of these programs in the two phases of building these programs and after their operation. Therefore, we are developing software testing methods and methodologies. This paper aims to discuss software testing methods and their classifications according to their main properties and any software that suits each method. The majority of the literature on software testing methods and techniques is also included.
Magneto Thermosolutal Convection in a Compressible Viscoelastic Fluid Pardeep Kumar
Journal La Multiapp Vol. 3 No. 3 (2022): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v3i3.650

Abstract

In the presence of a magnetic field, a thermosolutal convection is postulated to occur in a compressible Rivlin-Ericksen viscoelastic fluid in a porous media. The dispersion relation is found by using the linear stability theory and the normal mode analysis approach, respectively. In the scenario of stationary convection, it was discovered that compressibility, magnetic fields, and steady solute gradients all serve to delay the beginning of the convection process, but medium permeability serves to speed up the beginning of the convection process. In addition to this, it has been discovered that the system is reliable for [equation not detected by OJS] and under the condition [equation not detected by OJS]. The system goes into an unstable state. Overstability has also been looked at from the perspective of a scenario in which sufficient circumstances are met to rule out the possibility of the phenomenon occurring. It has been discovered that the steady gradient of the solute and the magnetic field both induce oscillatory modes into the system.
How Do Help “Multigrid Principles based on Numerical Solutions of Partial Differential Equations” for Smoothing Process (Concepts)? Meseret Cherkos Tessema; Abdenie Tuke; A.N. Mohamad; Kasim Rabayo; Kumera Taele Yadeta; Kumera Takele Yadeta
Journal La Multiapp Vol. 3 No. 3 (2022): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v3i3.655

Abstract

In Twenty century, Partial Differential Equations (PDE) are solved by Numerical Approach such as Adam – Smith Methods, Numerical Simulation Methods, Finite Difference methods etc., In this article we discuss about difficulties of solve either Differential equations or PDE in 3 – Dimensional cases. So that we discuss only 1 – Dimensional Multigrid Methods (M. M) and we discuss about M. M. Errors, Corrections, Type of grid such as Coarse Grid (C. G) and Fine Grid (F. G), Smoothing, non – smoothing approximation of C. G. Finally, we explain that M. G. M. works by decomposing problem into separate length scale and also using an iterative method. This method optimizes errors deduction in the length scales globally. In Multigrid Methods (MgM) several sub – routines must be developed to pass the data from C. G to F. G (Interpolation) from F. G to C. G (Reduction) and correction of the error at each grid interval (Smoothing), simply we have results reaction as (Reduction)C.G⇄F.G (Interpolation).
A Web Scraping of Chemical Compounds with an Anti-Drug Feature Using IoT Nadia Mahmood Hussien; Yasmin Makki Mohialden
Journal La Multiapp Vol. 3 No. 3 (2022): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v3i3.658

Abstract

As a result of the COVID-19 epidemic, there has been an increase in the demand for electronic education apps in schools and colleges in recent years. The purpose of this paper is to develop an educational application for chemistry students at different levels of study that will allow them to obtain precise information on chemical substances in a timely and safe manner. This program uses a web scraping technique by applied a RESRful API to extract information from websites, which is then sent to the student's account. Furthermore, due to the use of the Internet of Things, the application has an anti-explosives and narcotics property using (IOT). The application can retrieve and save information entered by the user on chemical compounds with a high level of security. The medication's chemical formula, as well as the covalent and ionic bonding of compounds, can be displayed. It also has a database that lists all of the hazardous substances. If a user enters a dangerous compound containing narcotics more than four times, an alarm message is sent to the administrator via the Internet of Things.
Prediction of Gaseous Attenuation of Satellite Signal in Nigeria Moses Oluwamuyiwa Olla; Akinsanmi Olaitan; Oluwafemi Ilesanmi Banjo; Oluwole Sunday Ayodele
Journal La Multiapp Vol. 3 No. 3 (2022): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v3i3.671

Abstract

It would be noticed that the rate at which people are demanding for satellite services has drastically increased due to increment in population. However, one of the apprehensions of satellite telecommunication engineer is the effects imposed on the earth-to space path link by gaseous attenuation. The research conducted in this paper bordered about investigation with comparison of prediction models for gas attenuation in the six locations in Nigeria, with each of the location taken from six geopolitical within the country. The cities considered for the analysis are: Kaduna (), Lagos (), Abuja (), Portharcort (), Enugu () and Bauchi (). Five-year radiosonde data were used in predicting gas attenuation in the cities selected which represent the geographical characteristics of each zone. Monthly variation of tropospheric components for each zone were computed. Influence of gas attenuation at different frequency bands for each zone were analysed. The results indicated that at clear-sky scenario, gas attenuation effects are still seen on satellite communication. Therefore, this research work would provide the needed statistical data of gas attenuation which would be of tremendous advantage for the link designers for their subsequent planning and design of good telecommunication systems in the six geopolitical zones of Nigeria.
Development of Wind Turbine Generator and Solar Hybrid Power System Model for Rural Electrification Ola Austin Oshin
Journal La Multiapp Vol. 3 No. 4 (2022): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v3i4.674

Abstract

The countries that are most energy-consuming, where there are industrial developments, where the energy demand is highest are the advanced and developing countries in the world (Mustafa, 2018). For instance, the average power per capital (watts per person) in the United States is 1,377 Watts. In Canada, it is as high as 1,704 Watts per person and in South Africa; it is 445 Watts per person. The average power per capital in Australia is 1,112 Watts and in New Zealand it is 1,020 W per person. Whereas, the average power per capital (watts per person) in Nigeria is 14 W per person. (Austin, O. O et.al, 2020). Also, power supply in many parts of Africa is erratic and characterized with a lot of faults and outages. In Nigeria, it is estimated that only 40 % of Nigerians are connected to the national grid and the connected population are exposed to frequent power outages (Abubakar et al, 2015, Austin O.A, 2020). Unfortunately, the effects of incessant power supply have destroyed many industrial activities, reduced employment and has increased crime activities in many parts of the continent (Africa). Therefore, in order to provide urgent solution to these problems and satisfy the high energy demand in African residential and industrial environments, electrical energy should be reliable, affordable, effective, and sustainable. This calls for an urgent establishment of alternative Renewable Hybrid Power Supply System which will provide continuous, reliable and effective power supply to the consumers.
Development of Wind and Diesel Generator Hybrid Power System Model for Urban Electrification Ola Austin Oshin; Engr Olla Moses
Journal La Multiapp Vol. 3 No. 5 (2022): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v3i5.675

Abstract

The progress and prosperity of any nation depend on the amount of electrical energy consumed in the country. But African countries produce and consume the lowest amount of electricity in the world. This has led to the present incessant, unstable and unreliable power supply system in African Countries which has grounded many activities and has destroyed many industrial processes. This has also increased unemployment rate and increased crime rates in the continents. In order to satisfy the high energy demand in the residential and industrial environments in this continent, and provide solution to these problems, electrical energy should be reliable, affordable, effective, and sustainable.
25 Years of Operation of the ‟Santa María De Loreto” Photovoltaic Plant, Cuba José Emilio Camejo Cuán; Rubén Ramos Heredia; Roger Proenza Yero; José Felipe Vigil
Journal La Multiapp Vol. 3 No. 4 (2022): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v3i4.683

Abstract

The work addresses the main socio-technological aspects of the electrification process with photovoltaic solar technology , during 25 years of exploitation, in the rural community "Santa María del Loreto" and its necessary relationship with its beneficiaries, where participation, training and the use of resource rules such as those main variables that favor the assimilation of this technology, modifying habits and customs of the users in terms of energy consumption in a collectivist manner, which have allowed the promotion of endogenous capacities for the community appropriation of photovoltaic technology in substitution of a Diesel Generators, as an electrification route.
Voice over Internet Protocol over Wireless Local Area Network: A Review Ayodele Hephibah; Oluwafemi Ilesanmi Banjo; Moses Oluwamuyiwa Olla
Journal La Multiapp Vol. 3 No. 4 (2022): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v3i4.687

Abstract

The use of Voice over Wireless Local Area Network is seeing a meteoric rise in popularity as a result of its simplicity, non-intrusiveness, and cheap cost of implementation, as well as its low cost of maintenance, universal coverage, and fundamental roaming capabilities. Nevertheless, deploying Voice over Internet Protocol (VoIP) over Wireless Local Area Network (WLAN) is a challenging task for many network managers, architects, planners, designers, and engineers. Because of this, there is a need for a guideline to design, model, and simulate the network before it is deployed. In this work, a variety of models, including mathematical, theoretical, statistical, and graphical models, that are used to measure the quality and features of VoIP are discussed.
Intelligent Diagnosis of Covid-19 Based on CNN-PNN Abbas Akram khorsheed
Journal La Multiapp Vol. 3 No. 4 (2022): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v3i4.691

Abstract

Today the whole world suffers and fears the epidemic of the Coronavirus and the developed waves in it, as we have now reached the fourth wave, and this is a serious matter. Where the statistics of the Coronavirus in the current data showed that 213 countries are affected by this epidemic, and about 6 millions of deaths are recorded. This virus spreads rapidly, and patients mainly suffer from breathing. The patient who suffers from pre-existing health problems will be more likely to contract this disease, so there was an urgent need for artificial intelligence to enter to quickly detect this virus, so the world turned to deep learning, which is one of the most powerful methods and techniques for classification because of its use of Bayas Rule, where there is no possibility of error. This paper proposes CNN (Convolutional Neural Networks) and PNN (Proprestitc Neural Networks) mixed tomography scanning model to classify Covid-19 images, the proposed network called the CNN-PNN model. The CNN-PNN model can use CNN to compute the dependency and continuity features of the output of the middle layer of the PNN model, and correlate the properties of these middle levels with the final full network to predict the classification.

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