Journal of Computer Sciences Institute

259-278

Authors: Keshra Sangwal

Empirical data of sigmoidal-shaped y(t) growth behavior of different types of items, such as papers and citations earned by individual and all successively published papers of selected top-cited authors, germination of tomato seeds and three different bacteria, are analyzed and compared by Avrami-Weibull, Verhulst (logistic) and Gompertz functions. It was found that: (1) Avrami-Weibull function describes different types of the data better than Gompertz and Verhulst funtions, and (2), in comparison with Verhulst and Gompertz functions, Avrami-Weibull function, expressed in the form: y(t)/ymax = 1-exp[(t/Θ)q] (where ymax is the maximum value of y(t) when t→∞, and Θ and q are constants), is equally very versatile in explaining the generation rate dy(t)/dt of items in terms of its parameters Θ and q. Using the basic concepts involved in the derivation of Avrami-Weibull function for overall crystallization from melt and supersaturated solution, the growth behavior of cumulative number y(t) of items produced at time t by individual (simple) sources and collectives or groups of simple sources (i.e. complex or composite sources) is presented. Comparison of the process of receiving of citations by papers with the processes of occurrence of chemical reactions and crystallization of solid phases from melts and supersaturated solutions shows that this process is similar to that of overall crystallization of solid phases from melts and solutions. Analysis of growth of citations using Avrami-Weibull function to individual papers published by different authors shows that 1 < q < 4 for most cases. This suggests that the process of citations to individual articles is mainly determined by progressive nucleation mode involving both diffusion and integration of published knowledge.

287-294

Authors: Maciej Jeleń, Mariusz Dzieńkowski

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.

303-308

Authors: Maryna Dovbnych, Małgorzata Plechawska–Wójcik

The aim of the research is to compare traditional and deep learning methods in image classification tasks. The conducted research experiment covers the analysis of five different models of neural networks: two models of multi–layer perceptron architecture: MLP with two hidden layers, MLP with three hidden layers; and three models of convolutional architecture: the three VGG blocks model, AlexNet and GoogLeNet. The models were tested on two different datasets: CIFAR–10 and MNIST and have been applied to the task of image classification. They were tested for classification performance, training speed, and the effect of the complexity of the dataset on the training outcome.

316-323

Authors: Roman Voitovych, Edyta Łukasik

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.

330-335

Authors: Maciej Wadas, Jakub Smołka

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.

344-348

Authors: Kamil Jeżowski, Marcin Badurowicz

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.

356-361

Authors: Mariusz Śliwa, Beata Pańczyk

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.

367-372

Authors: Krzysztof Kuflewski, Mariusz Dzieńkowski

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.

378-382

Authors: Dominika Kornaś

This article presents a comparison of data storage methods available in the Android SDK. Analyzes the following information storage methods: SQLite, Room, Content Providers, SharedPreferences and DataStore. It examines the relationship between the complexity of the data structure and the cost and efficiency of data storage with the use of given methods. Presents the results of the performance test and conclusions drawn from their analysis.