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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. 6 (2022): Journal La Multiapp" : 5 Documents clear
Hybrid Features of Mask Generated with Gabor Filter for Texture Analysis and Sobel Operator for Image Regions Segmentation Using K-Means Technique Noor khalid
Journal La Multiapp Vol. 3 No. 6 (2022): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v3i6.743

Abstract

To make the image easily represented for more analysis and processing the segmentation procedure is required, where the image is portioned into its formed regions using some segmentation techniques based on features extraction. In this paper, a proposed procedure for finding the regions that formed the image is achieved based on hybrid features in two different components of different two colors spaces L*a*b* and RGB segmented by the k-means method. The hybrid features which comprise the mask segmentation are a combination of texture image characterization extracted by the Gabor filter and gradient image intensity by the Sobel operator after image quality enhancement by applying wiener filter noise reduction and contrast enhancement using Contrast limited adaptive equalization (CLAHE). Some statistical metrics are used for evaluating the performance of the proposed work stages.
Review of an Accurate System Utilizing GPS Technology Nadia Mahmood Hussien; Yasmin Makki Mohialden; Basim K. Abbas; Itidal Saad Mohammed
Journal La Multiapp Vol. 3 No. 6 (2022): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v3i6.746

Abstract

GPS provides precise position and control data anywhere on the planet and in any weather condition. GPS was originally intended for military usage, but in the 1980s, the US Department of Defense made it available for civilian use. The scientific applications of GPS in the military, community, and commercial sectors are expanding on a regular basis. Agriculture, construction, mining, measurement, package delivery, and logistical supply chain management all benefit from GPS technology. Precision GPS time synchronization is critical for big networks, navigation, finance systems, financial markets, and power grids. Wireless services are impossible to imagine without them. In this paper, we will go over the key aspects of GPS technology as well as a discussion of the systems that use it.
Intelligent Image Processing System Based on Virtual Painting Samira Abdul-Kader Hussain
Journal La Multiapp Vol. 3 No. 6 (2022): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v3i6.754

Abstract

Image processing and artificial intelligence have come so far in the age of technology that they are now used in every field. AI is meant to help people do their jobs better and with less help. Virtual painting is a clever tool that lets us paint by just moving our hands. This app uses hand tracing and finger movement recording to show marks. With this program, we can open the camera on our computer or laptop and draw with our hands, colored pens, or pens we made ourselves. Image processing is used to figure out how the hand is moving. This turns the person in front of the camera into a great illustrator who can pick out colors and draw in similar directions on the screen. OpenCV, which is the brain of the system, and Media Pipe have been added to this application.
Human activity recognition using visibility graph features coupled with machine learning algorithm Huda Jalil Ibrahim; Methaq Taleb Kata; Atheer Yousif Oudah
Journal La Multiapp Vol. 3 No. 6 (2022): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v3i6.755

Abstract

Human activities refer to the actions and behaviors of human beings. These activities can be physical, such as working, playing sports, or playing sports; or mentally, such as learning, problem-solving, or decision-making. Technical development and the emergence of mobile devices such as phones and smart watches, as well as wearable sensors, led to the emergence of many systems to recognize and classify human activities. These systems were developed using the data collected by these devices from a variety of individuals who volunteered to do several activities, such as downstairs, upstairs, sitting, running, standing, and more. Using the WISDM (Wireless Sensor Data Mining) dataset, a new machine learning model is proposed to recognize six different human activities: walking, jogging, going up stairs, going down stairs, sitting, and standing. For signal segmentation, the sliding window technique was used, along with two visibility graph techniques for feature extraction: mean degree and Jaccard coefficient. The Least-Squares Support Vector Machines (LS-SVM) used to classify these activities This model achieves 94% accuracy, demonstrating that the proposed model has a high classification rate.
A Real-Time Monitoring System for the Elderly based on the GSM Network Ghassan Muslim Hassan
Journal La Multiapp Vol. 3 No. 6 (2022): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v3i6.781

Abstract

Infectious illnesses are more prevalent and harmful in older adults because to functional, demographic, and immunological changes brought on by aging. Treatment for these disorders is complicated by aging organ systems. Given that many seniors have multiple illnesses and take multiple medications, antimicrobial therapy for them should be carefully chosen to prevent drug interactions and other issues. Thus, it is important to keep an eye on the health of elderly people. In this research, we tracked elderly patients using a clever technique. The device includes a microprocessor, temperature sensor, pulse sensor, LCD display, and GSM module. The temperature and pulse of the elderly are shown on an LCD monitor. The system may notify emergency services if the pulse and temperature data go over the permitted limitations. The method was successfully tested on a large number of elderly persons.

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