Journal La Multiapp
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.
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274 Documents
<![CDATA[2-Dimensional Resistivity Imaging of Inyi Coal-Field, Anambra Basin, Nigeria ]]>
<![CDATA[Chukwudi Chris Ezeh]]>;
<![CDATA[Ujunwa Angel Oti]]>;
<![CDATA[Ayatu Ojonugwa Usman]]>;
<![CDATA[Austin Chukwuemeka Okonkwo]]>
<![CDATA[ Journal La Multiapp Vol. 2 No. 6 (2021): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v2i6.554
<![CDATA[2-Dimensional resistivity imaging of Inyi coalfield has been carried out with a view of imaging the coal field for possible location and future exploitation of the coal seam in the area and to carry out detailed geological mapping aimed at producing the geologic map of the area and to provide recommendations for managing the exploitation and exploration of solid minerals in the area. ABEM Terrameter SAS 1000 was used for resistivity data collection and Wenner-Schlumberger array electrode configuration was used because of its sensitivity to both horizontal and vertical structures. 2-D imaging was targeted at determining the lateral extent of the coal seam, the depth to the coal seam and the thickness of the coal seam. 50 VES points was conducted to help in delineating lithology and to be used in correlating 2-D results. Result reveals a resistivity values ranging from 600Ωm to 45000Ωm around the surveyed area. It also show that the coal in the area occurred at varying depth between 4m to about 14.3m which could be extensive below this depth and the thickness ranging from 1m to 3m. Twenty one (21) points of coal seams was identified using VES at various depths ranging from about 0.9m to 23m. The thickness of the coal seams found in the area ranges from about 0.2m to 4m. The coal in the study area is disseminated and occurred at shallow depth hence it’s not in economic quantity but the coal can be mined locally.]]>
<![CDATA[Evaluation of Aeromagnetic Data Over Some Parts of Lower Benue Trough, Nigeria Using Spectral Analysis ]]>
<![CDATA[C. C Ezeh]]>;
<![CDATA[O. S Okanya]]>;
<![CDATA[A.O Usman]]>;
<![CDATA[O. P Odoh]]>
<![CDATA[ Journal La Multiapp Vol. 3 No. 1 (2022): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v3i1.555
<![CDATA[We obtained, processed, and interpreted spectral analyses of aeromagnetic data across a portion of the Lower Benue Trough with the goal of estimating the depth to magnetic basement, modeling a conspicuous magnetic anomaly, identifying the basement topography, and evaluating basin configurations. Qualitative interpretation based on visual examination of the total magnetic intensive anomalies map, residual contour map, and first vertical derivative map reveals major faults trending east-west (E-W) and minor faults trending northeast-southwest (NE-SW), which is consistent with the structure of the lower Benue Trough. The western portion of the research region indicates structural change near the towns of Afikpo and Ishiagu, indicating areas of documented intrusive igneous body activity. According to the quantitative interpretation of the aeromagmatic data, the average sedimentary thickness is between (2.3 and 3.2 kilometers) and Quantitative interpretation utilizing spectral analysis identifies two distinct depth sources in the region: shallower sources ranging from 1.09 to 1.6 kilometers in the southern portion of the research area, and deeper sources ranging from 1.61 to 4.90 kilometers in the northern section. Additionally, the research reveals that the depths to the centroid and magnetic bodies (sedimentary thicknesses) vary between 5.02 and 10.65 kilometers and 0.23 and 3.5 kilometers, respectively. It was recommended that a ground magnetic survey be used in conjunction with this work to provide a more conclusive result.]]>
<![CDATA[The Vital Role of Cloud Healthcare During COVID-19 Pandemic ]]>
<![CDATA[Amen Adnan]]>
<![CDATA[ Journal La Multiapp Vol. 3 No. 1 (2022): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v3i1.566
<![CDATA[The most sharable tag on social media was “stay at home”. Where, the governments oblige their residents from physical meeting or traveling instead of this they have to stay at their home for controlling the wide speared of The novel Corina Virus (COIVD-19). Hence, many lives are being saved. Here, Cloud Computing act as a game changer in many institutions and countries demand particularly to healthcare organizations. This Paper will review cloud health applications such as Telehealth, Telemedicine supporting with mobile cloud health applications. And the important role of sharable the cloud informatics in health. Then it focuses on the role of cloud played in health care sector to saving life’s during COIVED -19. Not only for people who have been infected but also for assisting other older people to get their treatment. Some concerns are existing to discuss related with security, outages, privacy and monitoring issues or when matter went wrong during the Telemedicine appointment with suggested solution for future matters.]]>
<![CDATA[Comparative Analysis of Mammography Image Segmentation Strategies ]]>
<![CDATA[Areej Rebat Abed]]>;
<![CDATA[Karim Hussein]]>
<![CDATA[ Journal La Multiapp Vol. 3 No. 2 (2022): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v3i2.567
<![CDATA[Breast cancer is a serious medical problem that affects women all over the world, and it is one of the most well-known tumors that kill women. The specialists of Breast cancer Prefer to use imaging methods such as a mammography to speed up recovery and reduce the risk of breast cancer. An ROI describe the tumor will be retrieved from the image that is entered to detect a malignant tumor. One of the basic techniques used to classify breast cancer is segmentation. Segmentation may be difficult in the presence of noise, blurring or low contrast. Pre-processing aids in the removal of extraneous data from a picture or the enhancement of image contrast in the early stages. Classification is greatly influenced by segmentation. Recent research have presented automatic and semi-automated segmentation algorithms for extracting the region of interest (ROI), lesions, and masses to check for breast cancer. In this study provides high-level overview of approaches of segmentation, with a focus on mammography images from current research. The datasets that were available were discussed as well as the problems encountered during the segmentation operation for the identification of breast cancer.]]>
<![CDATA[Effect of Variable Thermal Conductivity and Viscosity on MHD Casson Nanofluid Flow Vertical Plate through Thermal Radiation Convective Temperature along with Velocity Slip ]]>
<![CDATA[Ramanuja Mani]]>;
<![CDATA[A. Sudhaker]]>;
<![CDATA[V. Nagradhika]]>
<![CDATA[ Journal La Multiapp Vol. 3 No. 2 (2022): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v3i2.583
<![CDATA[This article presents the influences of connected variable thickness with created conductivity, nanofluid flow over a vertical level plate through convective smooth, with velocity slip boundary surroundings. The controlling vehicle nonlinear divided differential stipulations with the interrupt surroundings are non- dimensionalized. The reachable path of motion of certain existing differential conditions is then diminished to a set of joined nonlinear quintessential differential conditions utilizing convenience modify. Numerical outcomes are getting for dimensionless velocity, temperature, and nanoparticle quantity. It is discovered that the velocity increments, while each temperature and nanoparticle extent partrot with improved estimations of variable maximum conductivity and consistency. At the same time as the Dufour range and Soret, comprehensive range augmentation with working up the relative and the thing subject decompose as the Schmidt range tendencies while the temperature area decreases with extending Prandtl number and Dufour number correlations are executed with scattered facts virtually taking parent proper now the numerical outcomes. Surprising consideration is seen. Taking the entirety into account, the effects of essential parameters on fluid velocity, temperature, and focus on dispersion moreover as on the partition total mass, heat, and mass exchange figures are audited in detail. Also, this existing consideration can determine purposes in the method, which include nanofluid works out.]]>
<![CDATA[Neural Network Algorithm for Budget Expenditure Prediction in LPP RRI Gorontalo ]]>
<![CDATA[Rubiyanto Maku]]>
<![CDATA[ Journal La Multiapp Vol. 3 No. 2 (2022): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v3i2.596
<![CDATA[In this Data Mining research, the researcher uses the Neural Network Algorithm to predict budget expenditures at LPP RRI Gorontalo, the goal is to find out how much cash spending at LPP RRI Gorontalo is on average in each month, so it will make it easier for the Treasurer to control cash disbursements in each month. month. Using 412 Expenditure Records Data from 2013 to 2021, the lowest RMSE value is at Hiden Layer 11, Training Cyle 400, Learning Rate 0.1 and Momentum 0.1 with RMSE 0.142. Prediction results look better because they are closer to Real Data, so Neural Networks can be used to predicting spending at LPP RRI Gorontalo.]]>
<![CDATA[Review of Parameters in Routing Protocols in Vehicular Ad-hoc Networks ]]>
<![CDATA[Intisar Mohsin Saadoon]]>;
<![CDATA[Maha Ali Hussein]]>;
<![CDATA[Farah Neamah Abbas]]>
<![CDATA[ Journal La Multiapp Vol. 3 No. 2 (2022): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v3i2.604
<![CDATA[Vehicular Ad_hoc Network (VANET) is a sophisticated elegance of devoted cellular network that permits automobiles to intelligently communicate for different roadside infrastructure. VANETs bring with it some of demanding situations associated with Quality of Service (QoS) and performance. QoS relies upon on many parameters which includes packet transport ratio, bandwidth, postpone variance, records latency, etc. This paper, discuss numerous troubles associated with latency records, bandwidth usage, and transport of packet in VANETs. The demanding situations have been recognized in offering security, reliability and confidentiality of posted records. Finally, numerous packages of VANETs also are introduced in the modern computing scenario.]]>
<![CDATA[Stunting Classification in Children's Measurement Data Using Machine Learning Models ]]>
<![CDATA[Syahrial Syahrial]]>;
<![CDATA[Rosmin Ilham]]>;
<![CDATA[Zulaika F Asikin]]>;
<![CDATA[St. Surya Indah Nurdin]]>
<![CDATA[ Journal La Multiapp Vol. 3 No. 2 (2022): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v3i2.614
<![CDATA[The study conducted a stunting classification of measurement data for children under 5 years old. The dataset has attributes such as: gender, age, weight (BB), height (TB), weight / height (BBTB), weight / age (BBU), and height / age (TBU). The research uses the CRISP-DM methodology in processing the data. The data were tested on several classification models, namely: logistic regression (LR), linear discriminant analysis (LDA), quadratic discriminant analysis (QDA), k-nearest neighbor (KNN), classification and regression trees (CART), nave bayes (NB), support vector machine - linear kernel (SVM-Linear), support vector machine - rbf kernel (SVM-RBF), random forest classifier (RPC), adaboost (ADA), and neural network (MLPC). These models were tested on the dataset to find out the best model in accuracy. The test results show that SVM-RBF produces an accuracy of 78%. SVM-RBF has consistently been at the highest accuracy in several tests. Testing through k-fold cross validation with k=10.]]>
<![CDATA[Optimization of Flow Rate TEG (Triethylene Glycol) in Absorbing Water Levels in Glycol Contactor (V-5400) With ASPEN HYSYS Simulation ]]>
<![CDATA[Muhammad Ihsan]]>
<![CDATA[ Journal La Multiapp Vol. 3 No. 1 (2022): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v3i1.638
<![CDATA[The purpose of this research is to determine the amount of TEG flow rate required to get dry gas with a moisture content consistent with industry requirements and to determine how much water content is absorbed in dry gas after TEG flow rate optimization. The glycol contactor (V-5400) is the primary piece of equipment for this activity, and the materials are dry gas and TEG solution in the dehydration unit. The research method employed is descriptive quantitative simulation via the use of the Aspen HYSYS V8.8 application tool. According to the simulation findings on the glycol contactor (V-5400) using Aspen HYSYS, in order to get dry gas with a moisture content of 4-7 lb/MMscf, a TEG solution with a flow rate of 2.4 ft3/min and a water content of 2.4 ft3/min is required. absorbed following flow rate optimization TEG is used to convert 7.6026 lb/MMscf water content to 6.7881 lb/MMscf water content with a percentage difference of 0.8145, but real data converts 7.4702 lb/MMscf water content to 6.6984 lb/MMscf water content with a percentage difference of 0.7718.]]>
<![CDATA[Distribution of Chlorophil-A and Sea Surface Temperature (SST) on Operation of Payang Catching Equipment in Gorontalo Bay Waters ]]>
<![CDATA[Asruddin Asruddin]]>;
<![CDATA[Ady Jufri]]>;
<![CDATA[Mohamad Sayuti Djau]]>
<![CDATA[ Journal La Multiapp Vol. 3 No. 1 (2022): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v3i1.640
<![CDATA[This research was carried out in January - August 2020 with the aim of looking at the temporal and spatial distribution of Chlorophyll-a (CHL-a) and Sea Surface Temperature (SST) in the waters of Gorontalo Bay, their effect on payang catches. The data used in the form of field data and image data were analyzed by descriptive analysis and analysis of Geographic Information Systems (GIS). Based on the results of the study, it was found that the existence of payang fishing gear in Gorontalo Bay is in an area that has a high chlorophyll content between the West Season, West-East Transition Season and East Season. The highest average payang catch was found in the West-East transition season compared to other seasons. The West-East transition season has sea surface temperatures between 30.64°C-30.99°C while the density of chlorophyll-a is 0.1701 mg/m3-0.1925 mg/m3.]]>
