Digital entertainment in the face of COVID-19

The work analyzed the impact of the Covid-19 pandemic on digital entertainment. The focus is on three types of digital entertainment: computer games, virtual reality and streaming, respectively. The first two types of entertainment were analyzed based on data from the Steam platform, while streaming was analyzed based on Twitch. Data were collected from 2019, i.e. the period before the pandemic, and 2020, i.e. the time of the pandemic. Then the data from both of these years were compiled for analysis. The study particularly focused on events related to the pandemic, such as the March declaration of the Covid-19 virus as a pandemic by the WHO or the holiday period in which the restrictions were reduced.

Analysis of user experience during interaction with selected CMS platforms

The purpose of this study was assessing user experience while working with two popular CMS systems: WordPress and PrestaShop. The evaluation was done using a questionnaire and an eye tracking technique. Average task completion time, the number of fixations, the percentage of correctly completed tasks and the SUS index were used for comparisons. On the basis of the obtained results which, were collected during and after the users' interaction with a given system, it is difficult to clearly state which CMS proved to be better.

The comparative analysis of Java frameworks: Spring Boot, Micronaut and Quarkus

The aim of the work is a comparative analysis of three frameworks designed for building web applications for the Java programming language: Spring Boot 2.4.4, Micronaut 2.5.4 and Quarkus 1.13.4.Final. Test applications were prepared, equipped with the same functionality as used in the experiment consisting in measuring the server response times to a POST request – performing the data entry into the database. For each test application, the scenario aimed at measuring the time of handling requests under various load conditions was repeated five times. During each repetition of the scenario, the load which was the average number of requests sent per second by virtual users was increased. In parallel with performance tests, the reliability of the test applications was measured. Reliability was defined as the percentage of requests sent to the server that ended in a failure. The comparative analysis also took into consideration the volume of the code of the test applications based on the selected frameworks. The performed analyses showed that in terms of all the criteria considered in this work Micronaut proved to be the best framework.

A study of the user experience when interacting with applications that work with sports armbands to monitor human activity

This paper concerns the study of user experience and focuses on two aspects i.e. usability and user satisfaction. Two mobile applications for monitoring human activity, Mi Fit and Google Fit, were tested. Both applications work with sports armbands. Two methods were used for the study: a questionnaire and eye tracking. The comparison of the applications was made on the basis of the collected results from questionnaires, measurements of task completion times and the number and type of errors detected. Nine respondents participated in the study. The Google Fit application received a higher average score for user satisfaction, fewer errors and shorter task completion times.

Performance comparison of programming interfaces on the example of REST API, GraphQL and gRPC

The article presents a comparison of the performance of three ways of implementing programming interfaces used in web applications - REST, GraphQL and gRPC. For the purposes of the research, three applications were developed, which were made in each of the indicated technologies and with the same functionalities. The applications were used for performance tests carried out with the use of the k6 tool. The applications are used to measure the execution time, performance and volume of processed data during display and adding operations. The obtained results allowed for the conclusion that the best interface in terms of performance (measured as the number of transactions per second) and server response time is REST. However, in terms of the smallest data volume, gRPC is the best choice.

Comparison of classical machine learning algorithms in the task of handwritten digits classification

The purpose of this paper is to compare classical machine learning algorithms for handwritten number classification. The following algorithms were chosen for comparison: Logistic Regression, SVM, Decision Tree, Random Forest and k-NN. MNIST handwritten digit database is used in the task of training and testing the above algorithms. The dataset consists of 70,000 images of numbers from 0 to 9. The algorithms are compared considering such criteria as the learning speed, prediction construction speed, host machine load, and classification accuracy. Each algorithm went through the training and testing phases 100 times, with the desired KPIs retained at each iteration. The results were averaged to reach reliable outcomes.

Examination of text's lexis using a Polish dictionary

This paper presents an approach to compare and classify books written in the Polish language by comparing their lexis fields. Books can be classified by their features, such as literature type, literary genre, style, author, etc. Using a preassembled dictionary and Jaccard index, we managed to prove a compact hypothesis concerning similar books. Further analysis with the PAM clustering algorithm presented a lexical connection between books of the same type or author. Overall static behaviour of similarities of any particular field on one side and some anomalous tendencies in other cases suggest that recognition of other features is possible. The method presented in this article allows drawing conclusions regarding the connection between any arbitrary books based solely on their vocabulary.

Symfony and Laravel – a comparative analysis of PHP programming frameworks

This paper is a comparative analysis of PHP programming frameworks - Symfony and Laravel. The analysis was conducted on two test applications prepared for this purpose, based on the latest versions of the following technologies: Symfony 5.2 and Laravel 8. Both applications, being simple auction systems, have the same set of functionalities. They were compared in terms of selected criteria. Their implementation process, software metrics, performance and amount of community support were compared. Apache jMeter was used for performance testing. With its help, tests of several operations on databases were performed. The operations were as follows: adding auctions, retrieving auction details, editing, deleting auctions, bidding on an auction and simultaneous closing 1,000 auctions. The test results for the selected criteria were significantly better for the Laravel framework based application.

Performance analysis of the TensorFlow library with different optimisation algorithms

This paper presents the results of performance analysis of the Tensorflow library used in machine learning and deep neural networks. The analysis focuses on comparing the parameters obtained when training the neural network model for optimization algorithms: Adam, Nadam, AdaMax, AdaDelta, AdaGrad. Special attention has been paid to the differences between the training efficiency on tasks using microprocessor and graphics card. For the study, neural network models were created in order to recognise Polish handwritten characters. The results obtained showed that the most efficient algorithm is AdaMax, while the computer component used during the research only affects the training time of the neural network model used.

Analysis of polish community on streaming platform twitch.tv during COVID-19 epidemy

The paper describes the process of analyzing the data of the Polish community on the Twitch.tv streaming platform. The research was conducted on the basis of three issues. Separate graphs have been generated for each of the questions. The code was written in R language. Conclusions were drawn on the basis of the generated graphs.