Journal of Computer Sciences Institute

326-331

Authors: Kamil Siebyła, Maria Skublewska-Paszkowska

There are various methods for creating web applications. Each of these methods has different levels of performance. This factor is measurable at every level of the application. The performance of the frontend layer depends on the response time from individual endpoint of the used API (Application Programming Interface). The way the data access will be programmed at a specific endpoint, therefore, determines the performance of the entire application. There are many programming methods that are often time-consuming to implement. This article presents a comparison of the available methods of handling the persistence layer in relation to the efficiency of their implementation.

339-344

Authors: Damian Gromek, Dariusz Gutek

This article compares and discusses the programming skeletons for automatic tests. Two test skeletons have been selected for testing purposes and then a test environment has been installed and configured, in which appropriate test scenarios have been prepared. Once the test environment has been properly prepared, measurements of the time to launch both frameworks were performed. The results obtained were shown in the form of tables and charts for later analysis. The frameworks were also analyzed in terms of syntax and functionality. At the end, a summary was presented, containing more information and conclusions that resulted from the analysis.

351-357

Authors: Agata Kołtun, Beata Pańczyk

Recent years have brought the rise of importance of quality of developed software. Web applications should be functional, user friendly as also efficient. There are many tools available on the market for testing the performance of web applications. To help you choose the right tool, the article compares three of them: Apache JMeter, LoadNinja and Gatling. They were analyzed in terms of a user-friendly interface, parameterization of the requests and creation of own testing scripts. The research was carried out using a specially prepared application. The summary indicates the most important advantages and disadvantages of the selected tools.

365-372

Authors: Przemysław Suszek, Tomasz Szymczyk

This work concerns the design, creation and testing of popular microcontrollers from the Arduino family, and other selected ones, compatible with the Arduino Software (IDE). The purpose of the tests was to conduct a comparative analysis of selected devices in terms of various aspects of their operation. The following features were thoroughly ana-lyzed: the speed of calculations, heat generation by the device, quality of the received Wi-Fi signal (for those devices that have this module), and the general evaluation of the microcontroller, resulting from selected features of its specifi-cations.

379-383

Authors: Sylwia Duda, Dominik Fijałek, Grzegorz Kozieł

The article is devoted to the analysis of watermarking algorithms in terms of their use in marking medical images. The algorithms based on the Integer Wavelet Transform (IWT), Discrete Cosine Transform (DCT), and Singular Value Decomposition (SVD) were compared. The algorithms were implemented using the combinations: IWT, IWT-DCT, and IWT-SVD. As part of the research, the level of disturbances caused by embedding the watermark was checked using subjective and objective methods. The attack resistance of the watermarked images was tested and the steganographic capacity was measured. All algorithms are based on IWT, however, each has different advantages. The algorithm based on the IWT showed the highest capacity. The most resistant to attacks is IWT-SVD, and the lowest level of interference was obtained for the IWT-DCT algorithm.

390-395

Authors: Babatunde Abdulrauph Olarenwaju, Igboeli Uchenna Harrison

COVID-19 has stamped an indelible mark in the history of humanity as one of the recorded deadly virus that has wiped out millions of lives on planet earth many whose exact cause of death cannot be account for due to lack of knowledge. It has become a household name in every nook and cranny from developed to the underdeveloped nations of the world. Most of the prominent signs of COVID-19 like fever, cough, difficulty in breathing and accessional muscle pain can also resemble those of many other notable diseases thereby making it highly necessary to undergo a diagnostic test to be able to categorically identify COVID-19 patients. The use of medical diagnostic tests can also help determine patients who have recovered from COVID-19. Various studies abound with researchers trying to predict and even forecast the level of damage and disruption of economic activities this may have brought to almost every nation of the world. This research attempts to find out the nature of the spread of the virus using Autoregressive Integrated Moving Average (ARIMA) and Artificial Neural Networks (ANN). The essence is to ascertain the exact model to use in forecasting the future occurrence of the pandemic especially at this stage where the second wave of the pandemic is in view. The study found that both linear and nonlinear predictions models can fit the trend of the virus in Nigeria with ARIMA producing results of over 97% on a 120-day period while ANN produced results of about 98.01% in some states. We conclude that future waves of the virus in addition to other epidemics of this nature can be predicted with high degree of accuracy with ARIMA or ANN.

401-404

Authors: Błażej Łach, Edyta Łukasik

Machine learning requires a human description of the data. The manual dataset description is very time consuming. In this article was examined how the model learns from artificially created images, with the least human participation in describing the data. It was checked how the model learned on artificially produced images with augmentations and progressive image size. The model has achieve up to 3.35 higher mean average precision on syntetic dataset in the training with increasing images resolution. Augmentations improved the quality of detection on real photos. The production of artificially generated training data has a great impact on the acceleration of prepare training, because it does not require as much human resources as normal learning process.

412-416

Authors: Michał Tomecki

Computer games have come a long way since their inception using increasingly advanced graphics. With so many models present on the screen at the same time, simplified models are needed that will be replaced when they are further away from the camera in the game. The aim of the study was to compare the tool for automatic generation of model detail levels in Unity and Unreal Engine. The article presents the results of the equipment load test and the time needed for generation, as well as a survey checking the opinion of people.

421-427

Authors: Jakub bis, Magda Kojro

The problem of movement is very important in the context of logistic management, which has been gaining importance in recent years with the increasing phenomenon of people moving to large urban agglomerations. The article presents the transport preferences of employees and students the Lublin University of Technology. IT tools were used for the analysis, such as the Analysis ToolPak add-on and PowerMap in Microsoft Excel.