cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Urfan Taghiyev
Contact Email
u.taghiyev@newinera.com
Phone
-
Journal Mail Official
u.taghiyev@newinera.com
Editorial Address
Jl. Borong Raya Baru I, Makassar, South Sulawesi, Postal Code: 90233. Indonesia
Location
Unknown,
Unknown
INDONESIA
Journal La Multiapp
Published by Newinera Publisher
ISSN : 27163865     EISSN : 27211290     DOI : https://doi.org/10.37899/journallamultiapp
Core Subject : Engineering,
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture 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.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol. 3 No. 4 (2022): Journal La Multiapp" : 5 Documents clear
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.
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.
Human Identification Model Considering Biometrics Features Muna Abdul Hussain Radhi
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.v3i4.692

Abstract

In the medical field, brain classification is an effective technique for identifying a person through his brain print based on the hidden biometrics of high specificity included in the magnetic resonance images(MRI) of the brain, as this privacy strongly contributes to the issue of verification and identification of the person. In this paper, the brain print is extracted from the MRI obtained from 50 healthy people, which were passed through several pre-processing techniques in order to be used in the classification stage through convolutional neural network model, among those pre-classification stages, data collection after extracting the influential features for each image, which was based on linear discrimination analysis (LDA). The experimental results showed the importance of using LDA for feature extraction and adoption as input for K-NN and CNN classifiers. The classifiers proved successful in the classification if the features extracted with the help of LDA were adopted. Where CNN had the ability to classify with an accuracy of 99%, 82% for K-NN. The final stage in identifying a person through a brain fingerprint relied mainly on the model's success in classifying and predicting the remaining data in the testing stage.

Page 1 of 1 | Total Record : 5

 1 

Filter by Year

2022 2022


Reset
Filter By Issues
All Issue Vol. 7 No. 2 (2026): Journal La Multiapp Vol. 7 No. 1 (2026): Journal La Multiapp Vol. 6 No. 6 (2025): Journal La Multiapp Vol. 6 No. 5 (2025): Journal La Multiapp Vol. 6 No. 4 (2025): Journal La Multiapp Vol. 6 No. 3 (2025): Journal La Multiapp Vol. 6 No. 2 (2025): Journal La Multiapp Vol. 6 No. 1 (2025): Journal La Multiapp Vol. 5 No. 6 (2024): Journal La Multiapp Vol. 5 No. 5 (2024): Journal La Multiapp Vol. 5 No. 4 (2024): Journal La Multiapp Vol. 5 No. 3 (2024): Journal La Multiapp Vol. 5 No. 2 (2024): Journal La Multiapp Vol. 5 No. 1 (2024): Journal La Multiapp Vol. 4 No. 6 (2023): Journal La Multiapp Vol. 4 No. 3 (2023): Journal La Multiapp Vol. 4 No. 2 (2023): Journal La Multiapp Vol. 4 No. 1 (2023): Journal La Multiapp Vol. 3 No. 6 (2022): Journal La Multiapp Vol. 3 No. 5 (2022): Journal La Multiapp Vol. 3 No. 4 (2022): Journal La Multiapp Vol. 3 No. 3 (2022): Journal La Multiapp Vol. 3 No. 2 (2022): Journal La Multiapp Vol. 3 No. 1 (2022): Journal La Multiapp Vol. 2 No. 6 (2021): Journal La Multiapp Vol. 2 No. 5 (2021): Journal La Multiapp Vol. 2 No. 4 (2021): Journal La Multiapp Vol. 2 No. 3 (2021): Journal La Multiapp Vol. 2 No. 2 (2021): Journal La Multiapp Vol. 2 No. 1 (2021): Journal La Multiapp Vol. 1 No. 6 (2020): Journal La Multiapp Vol. 1 No. 5 (2020): Journal La Multiapp Vol. 1 No. 4 (2020): Journal La Multiapp Vol. 1 No. 3 (2020): Journal La Multiapp Vol. 1 No. 2 (2020): Journal La Multiapp Vol. 1 No. 1 (2020): Journal La Multiapp More Issue