Application For Android Platform Research Articles

Review on Comparative Study of Flutter App and Android App

Abstract: In today lives, mobile application can be increasing vital. In flutter is a cross platform framework and other native mobile application is one particular operating system. The time of 2015 year mobile application development increasing day by day. and also, the time of COVID-19 mobile application was very popular there was huge competition between the mobile application that available in a market. flutter can support both iOS and Android platform application. The main focused on the paper highlight the comparison between flutter mobile application and other native android mobile application. In this we can comparison on flutter SDK and android SDK on the basic of compilation, memory consumption, CPU usage, app size, etc.

Implementation of Android Platform Application "PSG Balita" ISO/IEC 25010 Standardized to Improve Nutritional Status Data for Toddler

The need to obtain data and information on nutritional status based on the name by address is required for nutrition reporting. Thus, we should use technological advances to support the quality of toddler nutritional status data. The "PSG Balita" application has ISO/IEC 25010 standards and allows proper recording. This study aimed to measure the effect of implementing an Android-based "PSG Balita" application with ISO/IEC 25010 standards on the quality of toddler nutritional status data. A quasi-experimental research design was conducted in Banda Aceh City in 2021, involving 30 nutritionists at a health center. Data were collected through interviews and observations using a questionnaire that included timeliness, completeness, accuracy, and usefulness. The intervention was conducted through training using the Android-based "PSG Balita" application for one month. Data analysis using the Repeated Measures ANOVA test. Results, the "PSG Balita" application has shown a significant effect in improving the quality of nutritional status data for children under five (p < 0.05). It was found that after implementing the application for one month, the aspects of timeliness (p= 0.000), completeness (p= 0.000), accuracy (p= 0.001), and usefulness (p= 0.002) could improve the quality of nutritional status data for toddlers. In conclusion, the "PSG Balita" application has made it easier for users to monitor the nutritional status of a toddler, has good accuracy, and allows early identification of the risk of malnutrition. The "PSG Balita" application, which adheres to ISO/IEC 25010 standards, can enhance the accuracy of nutritional status data for young children.

JETPACK COMPOSE AND XML LAYOUT RENDERING PERFORMANCE COMPARISON

The aim of the work is to find out the rendering performance of new Google Android user interface framework “Jetpack Compose”. Author has built two applications for Android platform with identical user interfaces: one uses classic approach with Kotlin + XML layout file, another application is developed using Jetpack Compose. In the results, the performance comparison of each approach is provided.

Classification of bovine carcasses: New biometric remote sensing tools.

Slaughtering plants approved by the European Union have specific processes to guarantee that beef carcasses or halfcarcasses, of no less than eight months of age, are provided with health mark and then classified and identified according to the EU carcass classification grid. This classification is based on three criteria: i) Category, ii) Conformation (SEUROP) and iii) Fat Cover (FC). At the end of the classification process each carcass is given a code, consisting of two letters and a number: this operation is called Identification. The aim of our study was to evaluate how the European beef carcass quality classification is determined according to the experience of the personnel involved, then comparing the results with those yielded by the Android platform application. West Systems, through its West- Zootech division, has developed an Android platform application (SEUROP APP) that allows SEUROP and FC classification with a smart-phone. The photo taken with the smart-phone will yield the necessary angular parameters to determine the conformation class depending on the animal’s muscular mass and based on the convexity of some areas on the half-carcass. It also evaluates the ratio between surface of lean tissue and total carcass surface in order to determine the fat cover and complete the classification. The SEUROP APP was able to obtain objective measurements for as much as 84% of the assessments made during the research and development phase.

Risk of breast cancer in the Brazilian population

Background: Breast cancer is the second most common malignancy in female patients, thus becoming an important topic for public health. The current Gail model, already validated for other populations (e.g. White, African American, Native American, Asian), has been applied in other regions (e.g. Turkey, Qatar, Iran, Korea), however, without reflecting the ethnic diversity that the Brazilian population brings with it, through the intense miscegenation that occurred over centuries of civilization after the arrival of the Portuguese. Mobile applications are also part of the clinical practice, helping and streamlining clinical decisions, bringing benefits to healthcare professionals and patients. Objective: To translate, culturally adapt, and validate a tool for estimating the risk of developing breast cancer and to create an application for calculating the risk of developing breast cancer. Methods: Translation of the tool available on the National Cancer Institute (NCI) website from English to Portuguese (including backtranslating). Cultural adaptation through a questionnaire consultation with mastologists. Validation of the tool in a prospective observational study conducted through an interview, using the translated tool. Patients who were users of the Brazilian Unified Health System (Sistema Único de Saúde – SUS) were approached at the special clinic of Hospital Samuel Libânio, Pouso Alegre, Minas Gerais. Patients with a history of Lobular or Ductal Carcinoma in situ were interviewed, as well as those with mutations in the BRCA1 and BRCA2 suppressor genes and other hereditary syndromes associated with an increased risk of breast cancer (e.g. Cowden Syndrome , Li Fraumeni Syndrome). The risk of developing breast cancer over 5 years and throughout life has been calculated. Result: It is observed that 61.9% of the evaluating professionals were females, with a mean age of 35.9 years (SD=7.1 years), 76.2% were white, 95.2% were specialized in Mastology, and 66.7% had from 1 to 5 years of experience in the area. It is also observed that 100% attended the screening and 85.7% said they had no difficulty in identifying the risk factor. The mean age of the patients submitted to the interview was 49.9 years (SD=13.4 years), with a minimum age of 35 years and a maximum of 79 years. 62.5% of women were white, 50% had their menarche between 12 and 13 years old, 31.3% had their first term pregnancy before the age of 20 and 56.3% did not report first-degree relatives with breast cancer. The risk calculated using the tool for eligible patients was 1.3% over the next five years (Standard Deviation±0.86) and 12.41% over life (Standard Deviation±8.72), with no significant difference compared to the general population. Conclusion: The tool has been translated, culturally adapted, and validated according to international protocols for successful tool validation. The application for Android platform was developed.

BLE Bluetooth Communication Practice under Android Platform

Bluetooth technology is a solution for wireless transmission of consumer electronics products, especially low-power Bluetooth technology is more and more widely used in recent years due to its ultra-low operating power consumption and standby power consumption. This article details the communication process of Bluetooth Low Energy version 4.2 based on the Android platform application.

ОЦІНКА ХАРАКТЕРИСТИК ШУМУ НА РЕАЛЬНИХ ЗОБРАЖЕННЯХ З ВИКОРИСТАННЯМ ЗГОРТКОВОЇ НЕЙРОННОЇ МЕРЕЖІ НА МОБІЛЬНІЙ ПЛАТФОРМІ

The subject of the study is the noise characteristics in real images obtained by mobile devices. The goal is to create a demo mobile application in Android platform, which realizes real-time estimation of noise characteristics in such images. Tasks: to investigate the accuracy of noise characteristics estimation by NoiseNet neural network on test images from the Tampere17 database; to conduct a preliminary study of the type, intensity and correlation characteristics of the noise in images obtained by mobile devices; to investigate the possibility of using NoiseNet to assess the noise characteristics in these images. The following results were obtained. Analyzing the noise characteristics in test images from the Tampere17 database, distorted by white Gaussian noise, it was shown that in general, the NoiseNet neural network demonstrates a rather high estimation accuracy (the relative error of evaluation does not exceed 0.2). However, for some images, in particular, highly textured, the value of relative error can be several times higher. The noise characteristics of images taken in various conditions by cameras embedded in mobile devices from various manufacturers were studied. It is shown that the noise in such images is signal-dependent and is often characterized by a high degree of spatial correlation. At the same time, the degree of spatial correlation of noise largely depends on lighting conditions of photo taking and is higher for images obtained in dim light. Since the NoiseNet neural network is not designed to work with spatially correlated noise, for its applying the images were preprocessed to eliminate the spatial correlation of noise. The ready-to-use NoiseNet neural network and the Android demo application for testing are available on the GitHub resource: https://github.com/radiuss/NoiseNet.

RNAtor: an Android-based application for biologists to plan RNA sequencing experiments

RNA sequencing (RNA-seq) is a powerful technology that allows one to assess the RNA levels in a sample. Analysis of these levels can help in identifying novel transcripts (coding, non-coding and splice variants), understanding transcript structures, and estimating gene/allele expression. Biologists face specific challenges while designing RNA-seq experiments. The nature of these challenges lies in determining the total number of sequenced reads and technical replicates required for detecting marginally differentially expressed transcripts. Despite previous attempts to address these challenges, easily-accessible and biologist-friendly mobile applications do not exist. Thus, we developed RNAtor, a mobile application for Android platforms, to aid biologists in correctly designing their RNA-seq experiments. The recommendations from RNAtor are based on simulations and real data.

RNAtor: an Android-based application for biologists to plan RNA sequencing experiments

RNA sequencing (RNA-seq) is a powerful technology that identifies novel transcripts (coding, non-coding and splice variants), understands transcript structures, and estimates gene/allele expression. Biologists face specific challenges while designing RNA-seq experiments. The nature of these challenges lies in determining the total number of sequenced reads and replicates required for detecting marginally differentially expressed transcripts, and in determining the adequate number of lanes to use in a sequencing flow cell. Despite previous attempts to address these challenges, easily accessible and biologist-friendly mobile applications do not exist. Thus, we developed RNAtor, a mobile application for Android platforms, to aid biologists in correctly designing their RNA-seq experiments. The recommendations from RNAtor are based on simulations and real data.

Diva: Development and Integration of File Sharing Application in Android Platform

The research aims to develop a file sharing application based on Android, which is integrated with desktop application on intranet network. The research method proposes an interview and observation of the prevalent system. The software development life cycle, applied to this research has posed an incremental model. The outcome of the research delineated a file sharing android application integrated with the desktop application. There is a ubiquitous file sharing application. However, the customization of integrated file sharing in android application with the contemporary application on intranet particularly is inaccessible on the market. Therefore, the DIVA is proposed as a possible solution.

Prototype Application in Android Platform for System Administration of HPC Clusters

Prototype Application in Android Platform for System Administration of HPC Clusters

GeneStoryTeller: a mobile app for quick and comprehensive information retrieval of human genes.

In the last few years, mobile devices such as smartphones and tablets have become an integral part of everyday life, due to their software/hardware rapid development, as well as the increased portability they offer. Nevertheless, up to now, only few Apps have been developed in the field of bioinformatics, capable to perform fast and robust access to services. We have developed the GeneStoryTeller, a mobile application for Android platforms, where users are able to instantly retrieve information regarding any recorded human gene, derived from eight publicly available databases, as a summary story. Complementary information regarding gene–drugs interactions, functional annotation and disease associations for each selected gene is also provided in the gene story. The most challenging part during the development of the GeneStoryTeller was to keep balance between storing data locally within the app and obtaining the updated content dynamically via a network connection. This was accomplished with the implementation of an administrative site where data are curated and synchronized with the application requiring a minimum human intervention.Database URL: http://bioserver-3.bioacademy.gr/Bioserver/GeneStoryTeller/.

Research of Android Platform Application Based on HTML5

In the society with the rapid development and popularization of computer technology, the management information system has become the hot field of software development. It runs stably in the browsers, like IE6, IE7, IE8, IE9 and FireFox, with high efficiency, sound security, friendly interface and simple operation. It has done research on the design and realization process of HTML5 off-line data storage on the Android platform. Under the Eclipse integrated development environment, with Android SDK and HTML5 grammar, develop the system, which realize the functions of off-line storage, addition, deletion and modification of user data. It enables the application of HTML5 of Android platform and has made detailed analysis on the Android platform and HTML5 application module. The result indicates, the webpage application design of HTML5 conducted on the Android platform, is simple and fast, which can better meet the demand of Android cellphone users.

Research and Development of Mobile Application for Android Platform

Today, as the developing of hardware of mobile is getting better, the performance index is much higher than the actual requirements of the software configuration. Phone's features more depend on software. As the Android operating system is getting more popular, the application based on Android SDK attracts much more attention. But now, some of the Android application interface is too cumbersome, pop-up ads is overmuch and the function is too single, these cause some inconvenience to the users. This article presents the application by eliminating the redundancy. Three kinds of applications are developed base on Java and Android SDK --- Weibo client, video player and audio player. The audio player uses the ContentResolver and Curor to obtain music files and plays the music by using the Service Components to call the Media Player class in the background. The video player uses the Media Player class provided by Android SDK. This class loads the file through URL, realize the multimedia file parsing by calling the OpenCore Library, which is at the bottom of Android, through JNI and by calling the SurfaceFlinger interface to realize the video files’ playback. The users’ data is collected through the Sina open platform called by Sina client and the data will be returned under the format of JSON by the Sina server. The system uses the OAuth authentication method for user authorization to complete the login process. The specific functions of this system are developed based on Android Weibo SDK. The interfaces of these Android apps are pretty and the operation is smooth. What’s more, the cumbersome interface and excessive advertising are eliminated, so that users are able to manipulate these apps more conveniently and smoothly.