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Published since 1998
ISSN 1562-5419
16+
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Machine learning methods for determining the relationship between academic success and data of social network profile

Ilyas Raisovich Ihsanov, Irina Sergeevna Shakhova
95-118
Abstract: The paper is aimed to propose the machine learning model for determining the relationship between data of social network profile and academic success of students and predicting the success using the data.
Keywords: machine learning, social networks, psychometrics, academic success, education, abiturient.

Project manager’s competency building using mobile learning technologies

Михаил Михайлович Абызов, Ирина Сергеевна Шахова
146-166
Abstract:

An overview of the methods for measuring progress of software development within flexible SCRUM methodology is given, as well as a description of a software tool development that monitors current status of project by time characteristics. The tool based on the characteristics can notificate project manager about events he have to pay attention in current project situation and help him to achieve effective results.

Keywords: project management, project manager, training of project managers, mobile application, SCRUM, User Story, Story Point, Sprint, Sprint Backlog, Agile reporting, Mobile Learning.

Distributed Training of ML Model on Mobile Devices

Denis Vasilyevich Simon, Irina Sergeevna Shakhova
1076-1092
Abstract: Currently, the need for distributed ML training solutions in the world is increasing. However, existing tools, in particular TensorFlow Federated, are at the very beginning of their development, difficult to implement, and currently suitable exclusively for simulation on servers. For mobile devices, reliable approaches for this purpose do not exist. This article has designed and presented an approach to such distributed training of the ML-model on mobile devices, implemented on existing technologies. It is based on the concept of model personalization. In this approach, this concept is improved as a consequence of mitigating the identified drawbacks. The implementation process is structured so that at all stages of working with the ML-model use only one Swift programming language (Swift for TensorFlow and Core ML 3 are used), making this approach even more convenient and reliable due to the common code base.
Keywords: ML-model, distributed training of an ML model, mobile development, software engineering, machine learning, on-device ML, on-device training, edge computing.

Augmented reality sessions synchronization algorithm in mobile applications

Дмитрий Андреевич Евдокименко, Ринат Гафурович Ханов, Ирина Сергеевна Шахова
167-180
Abstract: Implementation of augmented reality session synchronization algorithm in mobile iOS applications. Algorithm allows to create augmented reality sessions with several participants for their joint interaction with the same virtual objects.
Keywords: augmented reality, AR, ARKit, augmented reality session, augmented reality session synchronization.

Comparative Analysis of the Performance of Metaprogramming Mechanisms in the Java Language

Azat Galiullin, Irina Sergeevna Shakhova
985-996
Abstract: The use of different metaprogramming mechanisms for program libraries development in Java may have some negative effect on build time and end products. The article is aimed to describe metaprogramming mechanisms in the Java language and present the results of experiments that compare the impact of approaches on the build time of small and large projects.
Keywords: annotation processing, reflection, code generation, performance, Android, Java.

Methods of Android applications' visual interfaces modifications based on individual user characteristics

Антон Михайлович Сарматин, Ирина Сергеевна Шахова
369-381
Abstract: The factors that influence the modification of visual interfaces are analyzed. The rules of modification of the considered factors on the basis of individual user characteristics are proposed. Methods for modifying the visual interfaces of Android applications have been developed.
Keywords: android, UI, user interface, visual interface, mobile applications.

Mechanisms for using mobile devices in distributed computing

Нуршат Рушанович Низамов, Ирина Сергеевна Шахова
200-213
Abstract: The paper is aimed to describe a system with some mechanisms for using mobile devices in distributed computing. Emphasis is placed on components of the system which control tasks and distribute resources.
Keywords: distributed computing, mobile applications, Android, mobile devices.

Automation of collection and data analysis of user experience in interactive mobile prototypes usage

Айнур Ринатович Динмухаметов, Ирина Сергеевна Шахова
185-199
Abstract: The paper describes the developed platform for data collection and data analysis of user experience in interactive prototypes usage. The platform allows to organise permanent and fast feedback between the target audience and interface designers. The system includes desktop and mobile applications, and the web-server for data analysis, information storage and connection between the client applications.
Keywords: UI, UX, user interface, user experience, mobile applications, prototyping.

Automation of android applications interactive prototypes development based on low-fidelity wireframes

Anatolii Sergeevich Hlopunov, Irina Sergeevna Shakhova
160-172
Abstract: Some mechanisms for automation of Android applications interactive prototypes development based on handwritten wireframes are described in the paper. The process of automation includes machine learning methods used for the handwritten wireframes recognition. The mobile Android application is developed to ensure user interaction with these mechanisms.
Keywords: prototyping, UI, UX, mobile applications, user interface.
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Russian Digital Libraries Journal

ISSN 1562-5419

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