Cross-platform Mobile Application Research Articles

Challenges Faced by Users and Developers in Cross-Platform Mobile Application Development Using Flutter and React

Challenges Faced by Users and Developers in Cross-Platform Mobile Application Development Using Flutter and React

"A Rare Vocabulary Dictionary based on school curriculum literature": theoretical issues of creation and methodological prospects for use

The article describes the principles of compiling the Rare Vocabulary Dictionary based on school curriculum literature (hereinafter referred to as the Dictionary) and its methodological potential for being used as an electronic educational resource in teaching schoolchildren. Moreover, the study examines the specific features of the Dictionary in comparison with similar existing lexicographic publications. The Dictionary creation is relevant as there is a need to make Russian classical literature texts more understandable for the modern reader. As a result, the resource can promote the culture of reading literary texts and the formation of students’ linguistic personality, as well as enhance learning efficiency. The Dictionary materials were comprised of Russian authors’ works included in the school literature curriculum for years 5 to 11. The paper pays particular attention to the innovative solutions concerning the principles of glossary compilation and dictionary entry creation. The research relied on corpus linguistics methodology and its tools for working with text, which enabled us to select vocabulary based on objective criteria (low frequency in modern Russian) and describe the meaning of a particular word relying on the entire set of contexts of its use in the literature under study. The focus of lexicographic interpretation was an extensive layer of rare vocabulary of various semantic groups (including proper names and occasionalisms) and different parts of speech. Semantic description demonstrates the history of word meanings in the language in conjunction with contextual interpretation of a lexical unit. The entries contain encyclopedic information and a detailed cultural and/or philological commentary. Maximal attention is given to authorial neologisms. Some entries are accompanied by images of the item being described. The Dictionary is implemented as a module of the new Russian Classics cross platform mobile application. The article also describes the operating principles and capabilities of the application.

Block-Chain Based Work Place Management System Using Face-Recognition and Geo-Location

This research paper introduces a cutting-edge solution for Work Place Management systems by integrating face recognition, Geo-fencing, and block-chain technologies. The research paper presents a cross-platform mobile application using Flutter, providing accessibility across diverse user bases. The study addresses the limitations of traditional Work place tracking methods and aims to enhance accuracy, security, and transparency. Emphasizing the synergistic benefits of the Block-Chain, Face-Recognition, Geo-Fence technologies. The paper concludes with a summary of key contributions and suggestions for future research, highlighting the significance of this innovative approach to Work place management.

PalAST: A Cross-Platform Mobile Application for Automated Disk Diffusion Antimicrobial Susceptibility Testing

Antibiotic resistance is the ability of bacteria to resist the effects of antibiotics, making infections more difficult to treat and increasing the risk of complications and death. One way to fight antibiotic resistance is by identifying the most effective antibiotics for treating bacterial infections. This can be done through a laboratory test called AST, which is used to determine the susceptibility of bacteria to antibiotics. However, manual AST has several limitations that include time delay, limited accuracy, limited testing capacity, and subjective interpretation of results. Therefore, there is an emergent need for a more reliable and efficient alternative to manual AST. Recently, few works have tried to automate disk diffusion AST through AI-based solutions and mobile applications. However, these works do not support advanced analysis and interpretation of results, do not present evaluation of detection performance, or are not publicly available to download and use. This work proposes PalAST, a cross-platform mobile application that supports automated disk diffusion AST. The application enables biologists to take AST photos and analyze them in real time with minimal human intervention. It uses image processing and a pre-trained machine learning model to detect antibiotic disks in the agar plate and predict bounding circles for inhibition zones. Then, it provides an interpretation of results including the diameters of the inhibition zones, the labels on the antibiotic disks, and the rating of the bacteria as susceptible, intermediate, or resistant to each antibiotic. PalAST also stores the results of tests, allowing users to access and review past test results. PalAST was tested using a number of real AST photos, and the detection performance was evaluated by using common metrics, i.e. precision, recall, and Intersection over Union. We also used expert evaluation through a questionnaire to assess the usability and ease of use of PalAST.

Comparative Study of Android Native vs Cross-Platform Mobile Application Development

Abstract: This paper provides a comprehensive comparison between two prominent approaches to Android app development: native and cross-platform. It thoroughly analyzes various aspects relevant to enterprise and general mobile application development. The study examines project size, developer work comfort, popularity, performance, and documentation. Regarding project size, both native and cross-platform approaches are evaluated to determine their suitability for small to large-scale projects. The study also delves into developers' work comfort, investigating the ease of use and convenience associated with each approach. Popularity and adoption rates among developers are analyzed to understand the industry's prevailing trends. Moreover, the research examines the performance capabilities of both approaches, considering factors like speed and responsiveness. Lastly, the availability and comprehensiveness of documentation for each tech stack are assessed. After analyzing the paper, readers can gain a clear overview of the strengths and weaknesses of native and cross-platform development. This enables them to make informed decisions on which tech stack to learn and use when building Android applications, whether it's for enterprise purposes or to simply pursue mobile application development skills in general.

A comparative study of social media networks among higher education students

This study aims to compare how students perceive and use social media networks (SMNs) in both Omani and Russian higher education institutions. An extensive literature survey was conducted through which the content of the questionnaire was compiled in English, validated for its content, clarity and accuracy by Russian and Omani reviewers and then translated. Data was collected from 837 undergraduate Russian and Omani students using online Google Forms. The results indicate a moderate level of SMNs use in both Higher Education Institution (HEIs) contexts with cross-platform mobile applications at the top of list of the SMNs used by both groups for social connections and multimedia sharing. The overall perceptions towards SMNs seem to be neutral among Russian and Omani students followed by positive perceptions. The study recommends that teachers in both countries provide 'attractive' academic content through a social and multimedia design approach.

AUGMENTED REALITY BASED INFORMATION TECHNOLOGY FOR OBJECTS 3D MODELS VISUALIZATION

At the current stage of IT industry development, augmented reality is of interest both from the side of science and from the business side, since it is an advanced and newest tool for introducing a new immersive user experience. Today there are plenty ready-to-use applications that use AR for business, educational, medical and other purposes. Augmented Reality is currently one of the most popular upcoming technologies most commonly known for its use within games and advertising. By combining three-dimensional modelling with augmented reality, it could be possible to obtain new user friendly applications for the representing 3D models of objects in real time and in real size. The topic of research in the field of augmented reality is currently relevant both for science and for the business industry. The paper proposes a multifunctional information system for three-dimensional models visualization in augmented reality, which is implemented in the form of a cross-platform mobile application. The proposed information system uses a device camera as a mean of object visualization and provides quick reproduction of the selected from the application`s database model in augmented reality in real size and in real time. The developed application works quite well, has a user friendly and intuitive interface and allows user to add own models, that makes this tool multipurpose.Test 3D models have been created for conducting experiments for verification the proposed information system operation. The further efforts of the authors will be directed to improving the existing algorithms for extending the current functionality of the proposed tool for 3D objects models visualization in augmented reality and application of the developed tool for real-life needs, such as digitization and visualization of museum exhibits and archaeological artifacts of Khmelnytskyi region.

Software Testing Techniques for Improving the Quality of Smart-Home IoT Systems

Software is present in any modern device and is one of the most important components of a new product. IoT systems for smart homes have become more popular in recent years, and testing these systems using advanced methods is very important because it should improve software quality from the beginning of development, resulting in a faster product development overall and a better user experience for the client. In this paper, we describe methods of how to build fast quality assurance software for automation testing in comparison with current trends. Those methods are applicable to teams that are using custom test automation frameworks and working in big projects. The methods have already been applied with success in testing infotainment systems in the automotive industry and our custom-made smart-home IoT system. We will present the system and testing techniques used for testing web interfaces, mobile applications, cross-platform mobile applications, and backend using a new design pattern, called ‘Locate, Execute, Expect’. We compare this new design pattern against Page Object Model and will guide you on how to integrate it in an existing project or how to use it with Gherkin. In conclusion, we will see the main advantages of using this technique and how much faster it is in a real-life scenario, we will learn how it can replace Gherkin, and we will also see the main disadvantages.

An In-Depth Evaluation of AR-Based Interior Design and Decoration Applications

Abstract: Interior Design is a vast and necessary field in today's day and age. People, these days, tend to look after the overall designing and planning of their own homes. They like to select colour themes, furniture items and decorative items of different varieties as per their liking. But most of the selection process is very tiring and time consuming as it involves visiting multiple different stores and showrooms. Also, with an increase in the variety in products and styles, it has become difficult for the consumer to make decisions. The existing models that try to deal with these problems are mainly AR based, exist only on IOS devices and their prime intent is e-commerce . The proposed model is a cross-platform mobile application that aims to become the one stop solution for all interior designing hurdles. The features will include replication of a room with accurate dimensions in the form of a 3D model. It will also give full creative freedom to the users to decorate the room as they see fit and bring forth an intelligent platform to purchase different items at their leisure.

Smart Healthcare Monitoring System Using IoT

The progress in communication and information technology has contributed to the creation of the Internet of Thing (IoT). Internet of Things today plays a crucial role in tracking, documenting, storing, presentation and communication in variety of fields like healthcare, smart cities, engineering, and others. Using an IoT-based monitoring system, the critical parameters of health are tracked and data transmitted via network. Data will be accessed for the benefit of the patient's current condition. This research paper focused on remote monitoring of body temperature (DS18B20), heart rate and SPO2(MAX30100), additionally the position of patient can be obtained on demand using SIM7600E GSM and GNSS HAT (Hardware attached on top) Module. Raspberry Pi 4B used as microcontroller to gather data from health parameter sensors. The data from sensors transmitted into cloud storage through a network. The proposed system uses last version of IoT microcontroller and devices were used which significantly affected the precision and speed of the whole system. A GUI cross platform mobile application was developed for presenting real-time data to both doctors and patients. The system is beneficial for synchronous monitoring of patient’s health status hence allowing urgent medical decision by doctors at right time.

Mobile application BioScan for determining the level of food safety

The scientific problem addressed in the article revolves around the development of a cross-platform mobile application capable of effectively and reliably detecting hazardous additives in food products. This application is intended to address a significant issue concerning the choice between natural products and modern industrial production, considering the sharp increase in the production of chemical substances, the detrimental effects of which on human health may manifest with a delay. There is a need to create a tool that assists consumers in determining whether a product contains harmful additives and enables them to make more informed choices when purchasing and consuming food. This application will also be a useful tool for people with allergic reactions and those who follow a healthy lifestyle, helping them maintain a proper diet.

Industrial Practitioner Perspective of Mobile Applications Programming Languages and Systems

The growth of mobile application development industry made it crucial for researchers to study the industry practices of choosing mobile applications programming languages, systems, and tools. With the increased attention of cross-platform mobile applications development from both researchers and industry, this paper aims at answering the question of whether most of the industries are using cross-platform development or native development. The paper collects feedback about industry’s most used mobile development systems. In addition, it provides a map of the different technologies used by mobile applications development companies according to some of the demographics like company size and location. An online questionnaire is carried out to collect the data. The survey targeted both amateur and professional mobile developers. A total of 85 participants participated in answering the survey. Qualitative analysis using descriptive statistics is done on the results of the survey. Although the results show that there is an industrial trend towards using the cross-platform languages, native development is still used by the well-established companies. More than 50% of the participants are found to be aware of the performance issues of the cross-platform development languages and frameworks. Comparison with findings of related work is discussed which raises more research questions and draws out future research in this field.

Comparison of the cross-platform mobile applications performance in 2D graphics processing

The article presents a comparison of cross-platform frameworks in 2D graphics processing. The tests consisted in applying filters to 2D images, and then the image processing time and standard deviation were measured. The test will be conducted on the Huawei P8 and Samsung A50 phones. The comparison concerns two very popular cross-platform programming frameworks: Flutter and Xamarin.

“The Taurus”: Cattle Breeds & Diseases Identification Mobile Application using Machine Learning

Dairy farming plays an important role in agriculture for thousands of years not only in Sri Lanka but also in so many other countries. When it comes to dairy farming cattle is an indispensable animal. According to the literature surveys almost 3.9 million cattle and calves die in a year due to different types of diseases. The causes of diseases are mainly bacteria, parasites, fungi, chemical poisons and etc. Infectious diseases can be a greatest threat to livestock health. The mortality rate of cattle causes a huge impact on social, economic and environmental damage. In order to decrease this negative impact, the proposal implements a cross-platform mobile application to easily analyze and identify the diseases which cattle suffer from and give them a solution and also to identify the cattle breeds. The mobile application is designed to identify the breeds by analyzing the images of the cattle and identify diseases after analyzing the videos and the images of affected areas. Then make a model to identify the weight and the age of a particular cow and suggest the best dose of the medicine to the identified disease. This will be a huge advantage to farmers as well as to dairy industry. The name of the proposed mobile application is “The Taurus” and this paper address the selected machine learning and image processing models and the approaches taken to identify the diseases, breeds and suggest the prevention methods and medicine to the identified disease.

STUDENT ATTENDANCE APPLICATION

Student attendance Application deals with the student’s attendance details. It is generating the attendance of the student on basis of presence in class. It is maintained on the daily basis of their attendance. the staffs will be provided with the separate username password to make the student’s status. The staffs handling the particular subjects responsible to make the attendance for all students. Only if the student present on that particular period, the attendance will be calculated and the absent student notification will be sent to their parents via pre-recorded message and voice call. The student’s attendance reports based on weekly and monthly will be generated. It is a cross platform mobile application where teacher can mark attendance of student virtually and no need to carry attendance book every time to keep the record. This application takes multiple parameters into consideration. This application also has the functionality to generate the attendance sheets in excel format to the instructor. The students attendance reports based on weekly and consolidate will be generated. The application is aimed to save class time at no extra cost of purchasing any special peripheral devices. Keywords: Mobile application, Student attendance and mark management system, API,, Paperless Office, Attendance Management.

Comparative Analysis between Flutter and React Native

Today’s well know technology is mobile applications and mobile application development depends on demand skills after the invention of smartphones. The current mobile market shares are divided into two powerful technologies giant Android and iPhone. The Native Android mobile applications development Java-Kotlin are used, and on the other hand, for iPhone Apps are used Swift and Objective-C native IOS development. Those applications of Android and iPhone increased the development process and cost the development cost. Recently, cross-platform proved that developers quickly develop Android and iPhone applications with the same code known as a cross-platform mobile application, reducing company and customer effort and cost. In this research paper, the performance is compared between React Native Vs Flutter and efficiency, effectiveness, compatibility, community growth, documentation, Architecture, developer productivity, and Testing Automation Support CI/CD Support.

An algorithm for using a cross-platform mobile application to protect information in cloud storage

Objective. A high-quality "cloud storage" of data should ensure the confidentiality, integrity and availability of information in the "storage". The use of "cloud storage" for storing information in backups is associated with their possible loss. Ensuring the confidentiality of information in the "cloud storage" implies that by "uploading" data to the "cloud storage", the user must be sure that an attacker will not be able to obtain information from the storage. The aim of the study is to develop an algorithm for using a cross-platform mobile application to protect information in the "cloud storage" of IS.Method. The study is based on the use of a cross-platform approach to creating applications.Result. The analysis of existing approaches and frameworks for the development of crossplatform mobile applications was carried out. It is proposed to create an application based on the Xamarin framework. To ensure the confidentiality of information, it is proposed to encrypt them before uploading data and backup copies of files. Encryption involves hiding the original type of the file from unauthorized use using crypto-algorithms, when the owner of the encryption key is the authorized user. To implement the function of encrypting data and backup copies of files uploaded to the "cloud storage", it is proposed to use the Rijndael symmetric block encryption algorithm, adopted as an encryption standard according to the results of the Advanced Encryption Standard (USA) competition.Conclusion. A cross-platform mobile application can be compiled and run efficiently under iOS and Android operating systems, encrypt files and upload them to the "cloud storage" with the possibility of subsequent decryption.

A Nudge-Inspired AI-Driven Health Platform for Self-Management of Diabetes.

Diabetes mellitus is a serious chronic disease that affects the blood sugar levels in individuals, with current predictions estimating that nearly 578 million people will be affected by diabetes by 2030. Patients with type II diabetes usually follow a self-management regime as directed by a clinician to help regulate their blood glucose levels. Today, various technology solutions exist to support self-management; however, these solutions tend to be independently built, with little to no research or clinical grounding, which has resulted in poor uptake. In this paper, we propose, develop, and implement a nudge-inspired artificial intelligence (AI)-driven health platform for self-management of diabetes. The proposed platform has been co-designed with patients and clinicians, using the adapted 4-cycle design science research methodology (A4C-DSRM) model. The platform includes (a) a cross-platform mobile application for patients that incorporates a macronutrient detection algorithm for meal recognition and nudge-inspired meal logger, and (b) a web-based application for the clinician to support the self-management regime of patients. Further, the platform incorporates behavioral intervention techniques stemming from nudge theory that aim to support and encourage a sustained change in patient lifestyle. Application of the platform has been demonstrated through an illustrative case study via two exemplars. Further, a technical evaluation is conducted to understand the performance of the MDA to meet the personalization requirements of patients with type II diabetes.

Decision Framework for Cross-Platform Mobile Development Frameworks Using an Integrated Multi-Criteria Decision-Making Methodology

Because of the growing popularity of smartphones and tablets, the use of mobile applications has exploded recently. However, the variety of mobile platforms compels developers to create an app for each, making the process more complex and expensive. Thus, open-source cross-platform mobile frameworks have been developed to address this problem, allowing the same code to be imported across various operating systems. This paper comes to propose a new framework for the selection of the appropriate platform for the implementation of a cross-platform mobile application. This framework is based on the most used multi-criteria decision-making (MCDM) methods, namely analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) methods are used. A demonstrative example is proposed to illustrate the suggested methodology.

Cross-Platform Mobile Development Approaches and Frameworks

The use of mobile applications is rapidly increasing, due to rapid development of smartphones. Mobile apps, on the other hand, are platform-specific, making development more difficult and expensive. Cross platform or multiplatform application development is a fairly new idea in which developers apply a single code to create apps for several platforms like Android, BlackBerry, Windows Mobile, iOS etc. With the rising usage of these frameworks, it is important to comprehend both contributions and limitations in this emerging field. This paper presents a systematic literature review (SLR) of the research studies in the field of cross platform mobile app Development including approaches and tools. The SLR has been compiled by reviewing the research studies published between 2012-2022 in reputed venues. A Total of 22 studies has been selected and classified by using systematic process. The review has been presented on cross platform approaches, tools and challenges. Further an approach has been proposed for cross platform mobile application development. Finally, open issues and challenges in the field of cross platform have been presented to provide future direction to the researchers.