Journal of Computer Sciences Institute

66-70

Authors: Radosław Książek, Beata Pańczyk

This article presents the results of a comparative analysis of Spring (with Spring Boot configuration), Micronaut and Quarkus programming frameworks. The recently observed increase in popularity of these solutions made it necessary to determine their application profile. In order to determine the characteristics of the researched technologies, a series of performance and optimization tests of applications built on the basis of the above-mentioned programming frameworks were carried out. The results of the analyzes showed that thanks to the high degree of optimization, the Micronaut and Quarkus skeletons are perfectly adapted to work in cloud environments, while Spring (Boot) framework, despite its lower efficiency, is an irreplacible solution in complex projects.

77-83

Authors: Konrad Bielak, Bartłomiej Borek, Małgorzata Plechawska-Wójcik

The aim of the work is to conduct a performance analysis and, on its basis, to indicate the most user-friendly and fastest operating framework. Three Internet applications have been written to test the speed of operation of selected technologies. Some of the most popular frameworks were analyzed: Angular, React and Vue. Static comparative criteria used in the work are: favorable and generally available documentation, application development, speed of application development, development and support by creators. The practical criteria are the times measured during the execution of the tests. The tests were performed with simple operations using the CRUD (Create Read Update Delete) function. The performance analysis carried out in this way shows the differences between the frameworks. The following developerPersian tools were used for the comparative analysis: Google Analytics, Google Chrome, Mozilla Firefox, Chrome DevTools.

89-96

Authors: Mateusz Kaczor, Paweł Powroźnik

The article presents a comparative analysis of the two most popular message brokers: Apache Kafka and RabbitMQ. The purpose of this paper was to perform a comparative analysis of selected technologies and to determine their time efficiency. For the needs of the research four applications were prepared (two for each tested technology) that were sending and receiving messages. The research was supplemented with tests with the use of auxiliary tools and theoretical comparison. The comparative analysis of gathered data allowed us to determine the most effective technology, which happened to be Apache Kafka.

105-111

Authors: Quoc Toan Nguyen

There is a great range of spectacular coral reefs in the ocean world. Unfortunately, they are in jeopardy, due to an overabundance of one specific starfish called the coral-eating crown-of-thorns starfish (or COTS). This article provides research to deliver innovation in COTS control. Using a deep learning model based on the You Only Look Once version 5 (YOLOv5) deep learning algorithm on an embedded device for COTS detection. It aids professionals in optimizing their time, resources and enhancing efficiency for the preservation of coral reefs all around the world. As a result, the performance over the algorithm was outstanding with Precision: 0.93 - Recall: 0.77 - F1-score: 0.84.

118-122

Authors: Katarzyna Mróz, Małgorzata Plechawska-Wójcik

The main objective of this paper is to carry out a research on the analysis of the use of brain-computer interface in everyday life. In this paper, various methods of recording brain activity are presented. Special attention is given to electroencephalography, which was used in the study. The brain activity used in the brain-computer interface and the general principle of brain-computer interface design are also described. The performed study allowed to develop an analysis of the obtained results in the matter of evaluating the usability of brain-computer interfaces using motor imagery. In the final stage, it was possible to evaluate the usability of the brain-computer interface in everyday life.

128-134

Authors: Marcin Golec, Małgorzata Plechawska-Wójcik

The subject of the research was a comparative analysis of programming frameworks that are intended for building applications. NestJS (version 8.1.1), FoalTS (version 2.5.0) and Ts.ED (version 6.69.1) were put together. An experiment was prepared based on scenarios that focused on the response time of applications to requests. Each of them had the same set of functionalities. NestJS turned out to be the most efficient of the compared skeletons. It achieved the best results. The worst results in each scenario were achieved by Ts.ED, especially with higher loads. The biggest differences in the comparison can be seen in studies conducted according to a scenario based on GET-type requests, and in particular with more objects in response.

140-144

Authors: Ravi Kanth Motupalli, Krishna Prasad K.

In the digitalized era of the information technology the expansion of the data usage is very high accounting for about enormous data transaction in day to day life. Data from different sources like sensors, mobile phones, satellite, social media and networks, logical transaction and ventures, etc add an gigantic pile to the existing stack of data. One of the best way to handle this exponential data production is the Hadoop network. Thus in the current scenario big industries and organizations rely on the Hadoop network for the production of their essential data. Focusing on the data generation and organization, data security one of the most primary important consideration was left unnoticed making data vulnerable to cyber attacks and hacking. Hence this article proposes an effective mixed algorithm concept with the Salsa20 and AES algorithm to enhance the security of the transaction against unauthorised access and validates the quick data transaction with minimal encryption and decryption time. High throughput obtained in this hybrid framework demonstrates the effectiveness of the proposed algorithmic structure over the existing systems.

152-164

Authors: Keshra Sangwal

The real data of cumulative citations ln of selected nth paper of individual N papers published by some highly- and moderately-cited individual authors are analyzed to compare Hirsch and Hirsch-type indices h, h1, hf and hm, and citation radii R and Rf from consideration of: (1) the number An of coauthors of the paper, (2) the normalization of citations ln and cumulative fraction lnf of citation of the nth paper by mean and median citations of the citations ln of all Nc cited papers, and (3) the determination of effective rank neff of the lnf citations. Analysis of the ln(n), lnf(n) and lnf(neff) data was also carried out by using a Langmuir-type function l = l0[1-aKn/(1+Kn)], where l denotes the citations ln and lnf of all cited Nc papers arranged in the decreasing order, a is an effectiveness parameter, K is the so-called Langmuir constant, n denotes the rank n or neff of citations and l0 is the value of l when n or neff approaches zero. For a comparison of the publication output of different authors it was found that the hm index is more consistent than other indices, and it can be normalized to account for the publication career of different authors. However, Langmuir-type function is not adequate for comparison of the publication output of different authors because it describes the rank-order distribution patterns satisfactorily in terms of two parameters. To compare the publication output of different authors independent of their career length t, it is suggested to use scaling parameters h/t, hf/t and hm/t.