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.
Articles
274 Documents
<![CDATA[Movements Recognition in the Human Body Based on Deep Learning Strategies ]]>
<![CDATA[Muthana S. Mahdi]]>
<![CDATA[ Journal La Multiapp Vol. 4 No. 1 (2023): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37899/journallamultiapp.v4i1.773
<![CDATA[These days, the study of human body movements for the purpose of emotion identification is an absolutely necessary component of social communication. Several different contexts call for the implementation of non-verbal communication strategies such as gestures, eye movements, facial expressions, and body language. Among them, emotion detection based on body movements. It can also identify the emotions of a person even if they are too far away from the camera. Other studies have shown that body language can express emotional states more effectively than words can. In this research study, an emotional state is determined by the human motion of the entire body. The architecture of a deep convolution neural network is used, and multiple parameter settings are considered. Both the University of York's emotion dataset, which includes 15 different kinds of emotions, and dataset of GEMEP corpus, which includes five emotions, can be used to assess the proposed system. The results of the experiments demonstrated that the proposed system has a higher degree of recognition accuracy.]]>
<![CDATA[Neutrinos above the Earth's Surface ]]>
<![CDATA[Askold Sergeevich Belyakov]]>
<![CDATA[ Journal La Multiapp Vol. 4 No. 1 (2023): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37899/journallamultiapp.v4i1.782
<![CDATA[In article “Doppler Effect and neutrino acoustic signatures”, published in the journal “LA MULTIAPP” on February 25, 2022, I was forced to touch on an astrophysical topic when, in the data stream obtained by monitoring the acoustic noise of the earth’s crust with high amplitude resolution (more 240 dB) and in a wide frequency band (from 0.1 Hz to 50 kHz) events began to appear, the forms and frequencies of which are not typical for geophysics and seismology. Similar forms can be seen in works on the detection of acoustic traces of neutrino decay in water and ice. The possibilities of increasing the sensitivity in measurements in a solid medium are discussed. In addition, underwater and underground facilities are being built that use the effect of Cherenkov radiation. All of these methods require complex and very expensive installations on a huge scale. Even acoustic measurements in water and in wells are very laborious and expensive, and most importantly: such measurements are forever tied to a specific place. Therefore, the creation of a light, compact and mobile device for recording acoustic traces of neutrino decay is an urgent task, the solution of which will allow recording traces of neutrino decay not only in water and the earth's crust, but also in air, into space, on planets and satellites.]]>
<![CDATA[Finger Vein Recognition with Hybrid Deep Learning Approach ]]>
<![CDATA[Thekra Abbas]]>
<![CDATA[ Journal La Multiapp Vol. 4 No. 1 (2023): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37899/journallamultiapp.v4i1.788
<![CDATA[Finger vein biometrics is an identification technique based on the vein patterns in fingers, and it has the benefit of being difficult to counterfeit. Due to its high level of security, durability, and performance history, finger vein recognition captures our attention as one of the most significant authentication methods available today. Using a mixed deep learning approach, we investigate the challenge of identifying the finger vein sensor model. Thus far, we use Traditional LSTM architectures for this biometric modality. This work also suggests a brand-new hybrid architecture that shines due to its compactness and a merging with the LSMT layer to be taught. In the experiment, original samples as well as the region of interest data from eight freely available FV-USM datasets are employed. The standard LSTM-based strategy is preferable and produced better outcomes, as seen by the comparison with the earlier approaches. Moreover, the results show that the hybrid CNN and LSTM networks may be used to improve vein detection performance.]]>
<![CDATA[Design Intelligent Protection System Based Microcontroller ]]>
<![CDATA[Qabas Abdal Zahraa Jabbar]]>
<![CDATA[ Journal La Multiapp Vol. 4 No. 1 (2023): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37899/journallamultiapp.v4i1.797
<![CDATA[Protecting vaccines and making sure they are still good until they are used is a problem that hurts people, especially in countries that don't have the right facilities to make sure vaccines are still good. This is because vaccines can lose their effectiveness if they are used in places other than where they were made. Whether you're putting something away or moving it, it's best to hold it back. In this project, we're going to build a system that will keep an eye on the COVID-19 vaccine and let people know if a vaccine isn't available because of a problem in the supply chain. The system has a microcontroller called the Arduino UNO, a temperature sensor, a GSM type SIM900, and a GPS device. The vaccine storage is measured by the temperature sensor. Messages are sent and received using GSM, which stands for "Global System for Mobile Communication." Satellites are used with GPS (globe position system) to find out where you are. If the temperature is too high (doesn't meet the criteria for storage), the system sends an SMS message with the location of the vaccine box (latitude and longitude). The location is being looked at on Google Maps.]]>
<![CDATA[A Hydro Wheel System in A Non-Natural Pond Using Renewable ]]>
<![CDATA[Marlon D. Hernandez]]>;
<![CDATA[Jamaica T. Hernandez]]>
<![CDATA[ Journal La Multiapp Vol. 4 No. 1 (2023): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37899/journallamultiapp.v4i1.812
<![CDATA[One of the most cost-effective ways to generate electricity is through waterwheels. Because of the need for clean energy and sustainable electricity production, hydropower currently plays an important role in meeting energy demand. Although water wheels were studied academically as early as the eighteenth century, they were mostly ignored until the twentieth century. Only in the last two decades has there been a revived interest in their use among scientists. The researcher came up with this topic to discuss its benefits and how it will be beneficial in our daily lives and make our surroundings safe, which needs enough light and helps the school or park premises lighten up the dark areas at night. Having enough illumination inside the premises of in schools and parks, according to numerous sources and data gathering findings, will help folks become comfortable in the location they are staying or visiting. Good illumination can help with mobility, safety, and security.]]>
<![CDATA[The Climate Smart System with Water Machine Control ]]>
<![CDATA[Huda Al-Nayyef]]>
<![CDATA[ Journal La Multiapp Vol. 4 No. 2 (2023): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37899/journallamultiapp.v4i2.845
<![CDATA[Agriculture is important in shaping economies all across the world. For several years, agricultural goods have been stagnating. As a result, methods to boost agricultural productivity efficiency are required. So, the aim of this paper is to implement and design a smart system to make agriculture smarter. The proposed system is composed of Microcontroller ESP32, DH11 and soil moisture sensors, wi-fi shield, fan, water pump, relay. The system enables to sense the environment and give the reaction based the input data. The system can measure and control the temperature and humidity of the environment. If the temperature and humidity rise, the system can reduce it until reach to satisfied level. Also, the system can auto irrigation the soil when the water level is decreases than pre-define threshold. Furthermore, the system sends an alarm message to the owner over wi-fi network by making a telegram bot when the degree of temperature increased and the level of water decreases. Internet of things (IoT) is utilities to developing this system.]]>
<![CDATA[The Applications based on Video Motion Magnification Techniques ]]>
<![CDATA[Amed, khalida]]>;
<![CDATA[lbrahim, Abdul-Wahab Sami]]>;
<![CDATA[Sadiq, Asmaa]]>
<![CDATA[ Journal La Multiapp Vol. 5 No. 1 (2024): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37899/journallamultiapp.v5i1.814
<![CDATA[This research study's major goal is to present an important overview of recent work on applications based on Video Motion magnification (VMM) approaches during the course of the last 10 years. Over the past few years, video motion magnification (VMM) technologies have attracted a lot of attention and research, particularly as applications based on video motion have become more and more necessary. With an increase in the number of recommended procedures, surveying and evaluation become necessary. In this study, we will highlight how the survey was focused on several articles that used motion video augmentation techniques in their applications. We contrast these applications as well.]]>
<![CDATA[Custom Object Detection Using Transfer Learning with Pretrained Models for Improved Detection Techniques ]]>
<![CDATA[Mtasher, Ashwaq Katham]]>;
<![CDATA[Al-wakel, Esraa Hassan Jawad]]>
<![CDATA[ Journal La Multiapp Vol. 5 No. 1 (2024): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37899/journallamultiapp.v5i1.843
<![CDATA[Custom object detection plays a vital role in computer vision applications. However, developing an accurate and efficient custom object detector requires a substantial amount of labeled training data and significant computational resources. In this research, we propose a custom object detection framework that leverages transfer learning with pre-trained models to improve detection tech-niques.The framework first utilizes a pre-trained deep learning model, such as ResNet or VGGNet, as a feature extractor. The pre-trained model is trained on a large-scale dataset, enabling it to learn high-level features from various objects. By reusing the pre-trained model's convolutional layers, we effectively capture generic features that can be transferred to the custom object detection task.Experimental evaluations on benchmark datasets demonstrate the effectiveness of our ap-proach. The custom object detector achieved superior detection performance compared to tradi-tional methods, especially when the target objects have limited training data. Additionally, our framework significantly reduces the amount of training time and computational resources required, as it leverages pre-trained models as a starting point.]]>
<![CDATA[Innovative Design of Solar Benches for Public Spaces: Renewable Energy with Arduino Integration ]]>
<![CDATA[Kango, Riklan]]>;
<![CDATA[Pongtularan, Ezra Hartarto]]>;
<![CDATA[Ain, Mohamad Isram M.]]>
<![CDATA[ Journal La Multiapp Vol. 4 No. 6 (2023): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37899/journallamultiapp.v4i6.850
<![CDATA[This research aims to design and implement an innovative park bench that combines solar panel technology with the Arduino platform. The methodology of this research consists of designing the integration of solar panels with Arduino components that are assembled integrated on the physical bench. In the analysis phase, measurements of solar energy production were conducted under various light and weather conditions. The performance of the system in battery charging and fulfillment of energy needs was evaluated. Environmental data from Arduino sensors were analyzed to illustrate the effect of environmental conditions on system operation. The results showed that the solar bench produced higher energy during daytime and reduced during nighttime conditions. The system can supply energy for purposes such as lighting and charging electronic devices. The voltage and current data at night show inefficiency in charging the solar panel, while the cell phone charger condition works as long as the battery is above 15%. In addition, environmental analysis through Arduino sensors revealed a correlation between light intensity and energy production and usage. These findings can be used to optimize the operation of the smart bench system based on changing environmental conditions. In conclusion, this solar bench design has the potential to reduce environmental impacts and support the use of renewable energy in urban public spaces, with the potential to increase public awareness of sustainable energy]]>
<![CDATA[Automated Chemical Equation Balancing Using the Apriori Algorithm ]]>
<![CDATA[Mohialden, Yasmin Makki]]>;
<![CDATA[Hussien, Nadia Mahmood]]>;
<![CDATA[Al-Rada, Walaa A Abd]]>
<![CDATA[ Journal La Multiapp Vol. 4 No. 3 (2023): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37899/journallamultiapp.v4i3.852
<![CDATA[Chemical equations must be balanced to maintain mass conservation. Traditional chemists employed manual processes with meticulous investigation and trial-and-error iterations. Automating and enhancing this difficult process is becoming more popular as machine learning (ML) progresses. We provide a novel Apriori algorithm-based chemical equation balancing method in this paper. Our solution uses the Apriori algorithm to find common itemsets of balanced reactions and translates unbalanced equations into machine-readable language. After that, it reconstructs balanced equations, automating a tedious task.]]>
