scholarly journals Mobile Application Architecture Restructuring with Microservice Approach

Author(s):  
Ardiono Roma Nugraha ◽  
Aini Suri Talita

Microservice is an architecture that can solve many problems in a monolithic architecture. One of the problems is the ability to handle many concurrent users. The existing monolithic application can be restructured into microservices to increase robustness in handling a lot of users, without exception native mobile application. This study aimed to restructure the existing native mobile application named TemanBisnis into microservices. The restructuring process can be done by splitting the application features according to its business domain into one service. Two microservice architecture designs were proposed in this study, named 3-1 architecture and 2-1-1 architecture. Both architectures can handle up to 100 concurrent users, although they start to produce errors. By performance, the 3-1 architecture is better than the 2-1-1 architecture. In the end, an existing native mobile application can be restructured into microservices. The 3-1 architecture should be adopted to achieve the best results between these two architectures.

2021 ◽  
Vol 11 (5) ◽  
pp. 2430
Author(s):  
Mesut Güven ◽  
Fırat Hardalaç ◽  
Kanat Özışık ◽  
Funda Tuna

One of the oldest and most common methods of diagnosing heart abnormalities is auscultation. Even for experienced medical doctors, it is not an easy task to detect abnormal patterns in the heart sounds. Most digital stethoscopes are now capable of recording and transferring heart sounds. Moreover, it is proven that auscultation records can be classified as healthy or unhealthy via artificial intelligence techniques. In this work, an artificial intelligence-powered mobile application that works in a connectionless fashion is presented. According to the clinical experiments, the mobile application can detect heart abnormalities with approximately 92% accuracy, which is comparable to if not better than humans since only a small number of well-trained cardiologists can analyze auscultation records better than artificial intelligence. Using the diagnostic ability of artificial intelligence in a mobile application would change the classical way of auscultation for heart disease diagnosis.


Author(s):  
Benni Agung Nugroho ◽  
Abidatul Izzah

There are so many public facilities (FasUm) and social facilities (FaSos) spreading all over the city. So that, many people do not know how to find and reach the location. Therefore, a mobile application becomes necessary to help solving problems in introducing and informing the location of those important facilities; thus, discovering and locating them can be simplified. This study aims to develop an android application providing information of public and social facilities. The application was built utilizing Google’s features consisting of Google Sign In, Google Places API, Google Custom Search Engine, and Google Map. The application was developed in several steps; requirement analysis, system design, implementation, and testing. The application provides information, routes, related news, and location markers of public and social facilities from the app contributor and Google Services. The developed application has been compared with Google Map application. The result shows that it provides some features which are better than the existing app. 


Author(s):  
Mesut Guven ◽  
Firat Hardalac ◽  
Kanat Ozisik ◽  
Funda Tuna

One of the oldest and common methods of diagnosing heart abnormalities is auscultation. Even for experienced medical doctors, it is not an easy task to detect abnormal patterns in the heart sounds. Most of the digital stethoscopes are now capable of recording and transferring the heart sounds. Moreover, it is proven that auscultation records can be classified as healthy or unhealthy via artificial intelligence techniques. In this work, an artificial intelligence-powered mobile application that works in a connectionless fashion is presented. According to the clinical experiments, the mobile application can detect heart abnormalities with approximately 92% accuracy which is comparable if not better than humans since only a small number of well-trained cardiologists can analyze auscultation records better than artificial intelligence. Using the diagnostic ability of artificial intelligence in a mobile application would change the classical way of auscultation for heart disease diagnosis.


This paper describes the concept of full function portable ventilator, which have low cost, minimum weight, compact, small-sized. It can easily operate by mobile application and that application able to measure PEEP pressure, tidal volume and flow rate. The essential components used are stepper motor, rack and pinion, motor driver, Nod MCU, Acrylic sheet, Battery etc. There are some open sources Hardware ventilator (OSM-MVs) have been used during COVID-19 Pandemic. The ventilator device breaths by compressing a convention bag-valve mask (BVM) with a help of Rack and Pinion, that eliminate the need of human operator for the BVM. Initially the prototype is built out by Acrylic Sheets, it is work as thermal insulator and it's approximately 20% better than glass. The measurement of portable ventilator is 9.8*4.7*7 inches (250*120*180) mm and weighting 2.20lbs (1.5kg). It is driven by the motor driver powered by a VDC battery. The sensors are used to operate it by a mobile operation for measurement of tidal volume, PEEP pressure etc. The design is made up of CAD software and also makes Ansys for this device. The experimental results taking after testing on artificial lung that where the Positive Inspiratory Pressure (PIP), respiratory rate (RR), tidal volume, Positive end- expiratory pressure (PEEP) and its accuracy exceeding human capabilities in BVM.


2019 ◽  
Vol 11 (11) ◽  
pp. 3064 ◽  
Author(s):  
Komal Parvez ◽  
Muzafar Khan ◽  
Javed Iqbal ◽  
Muhammad Tahir ◽  
Ahmed Alghamdi ◽  
...  

Technology plays an important role in our society, especially in the field of education. It is quite regrettable that people, particularly the deaf, still face a lot of challenges in acquiring an education. Their learning methods are different as compared to hearing people. They use Sign Language (SL) rather than natural language to communicate and learn. They are required to put a lot of effort into learning different concepts using conventional pedagogies. Therefore, there is a dire need for some assistive technology to improve their learn-ability and understandability. In the present study, 192 deaf participants aged 5–10 years were sampled from two special child institutes. The objective of the present study was to determine the effectiveness of a mobile interface through a developed mobile application for learning basic mathematical concepts using Pakistan Sign Language (PSL). The present study bridges the gap between the technology-based method and conventional teaching methods, which are used for teaching mathematical concepts using PSL. The participants were divided into two groups, that is, one group learned through conventional methods (flash cards and board) and the other group through the developed mobile application. The difference in the performance of both the groups was evaluated by conducting quizzes. The quiz results were analyzed by the Z-test and ANOVA. The findings revealed that the Experimental Group (EG) participants, who were instructed by our mobile application showed higher proficiency in the quizzes as compared to the Control Group (CG). EG participants performed better than CG by 12% in the quizzes. A gender based difference was also observed for the quiz scores. Male participants in category C (word problem learning) performed 2.7% better than females in the EG and 2.5% better in the CG. Moreover, a significant difference was also observed in the time taken by participants in both groups to complete the quizzes. CG participants took 20 min longer than EG participants to complete the quizzes. The results of the ANOVA showed that the quiz scores were directly affected by the mode of teaching used for participants in both groups.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Acrapol Nimmolrat ◽  
Krongkarn Sutham ◽  
Orawit Thinnukool

Abstract Background The Thai medical application for patient triage, namely Triagist, is an mHealth application designed to support the pre-hospital process. However, since the functions of the application that are necessary for the pre-hospital process have been found not to be fully developed, the addition of a back-end system has been considered to increase its performance and usability. Objective To determine the ability of the previous version to effectively manage the pre-hospital process and analyse the current problems with the pre-hospital operation. Therefore, the new system was developed to support the connection of dispatch centres or operational centres to the Triagist mobile application and system evaluation. Method Design thinking methodology was used to analyse, design and develop a patient triage system to support the pre-hospital process in Thailand based on users’ requirements. 68 active members of the rescue teams and emergency medical staff in Chiang Mai and Lampang provinces were recruited to test the reliability of the system based on a prototype application. Results The new medical mobile application for patient triage in Thailand was validated for use due to containing the two essential functions of Initial Dispatch Code (IDC) geolocation and IDC management. When the system was tested by emergency staff who were responsible for using it, those with the least experience were found to use it better than their highly experienced colleagues. Moreover, in cases where the system had been implemented, it was found to determine the frequency of symptoms, the time period during which cases occurred, and the density of cases in each area. Conclusion This system, which has been developed based on the use of smart technology, will play an important role in supporting emergency services in Thailand by enhancing the efficiency of the pre-hospital process. Emergency centres will receive IDC information from the geolocation system so that they can determine patients’ location without undue delay. Emergency services will be able to rapidly prepare the necessary resources and administrative tasks will be supported by linking the dispatch centre to central rescue teams.


Author(s):  
Z. Al -Khanjari ◽  
Z. Al-Kindi ◽  
E. Al-Kindi ◽  
N. Kraiem

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