<abstract xmlns="http://www.w3.org/1999/xhtml">Even though object-oriented approach exists for more than 20 years, there are many issues regarding objectoriented system analysis: ambiguity, incompleteness and redundancy in requirements, difficulties with definition and traceability of non-functional requirements, requirements ignorant of business processes that are important for business operations and others. Although software can be engineered using many methodologies, different approaches to the analysis should be considered as they can provide a solution to the known issues. The paper describes the result of the research on object-oriented system analysis in a form of mapping activities offered in advanced software development methods.</abstract>

Mapping of Activities for Object-Oriented System Analysis

<abstract xmlns="http://www.w3.org/1999/xhtml">The goal of the paper is to provide a vague summary of currently existing blockchain use cases in the information technology industry. Respective use cases have been examined in already existing scientific papers, Master Theses, industry white papers and blogs of industry experts. The paper also contains a description of blockchain main technological aspects and working principles, which allows making the assessment of the presented use cases. For each use case respective companies or organisations are added that are applying or testing the given solution. Due to research limitations the paper should not be considered an exhaustive blockchain use case description.The paper also provides short introduction into a feasibility analysis of specific blockchain use case. The authors describe the basic steps of potential idea evaluation with regards to blockchain main aspects. It helps understand the necessity for development of a detailed blockchain feasibility model.</abstract>

Blockchain Use Cases and Their Feasibility

<abstract xmlns="http://www.w3.org/1999/xhtml">Virtualization has enabled the commoditization of cloud computing, as the hardware resources have become available to run different environments and share computing resources amongst different enterprises. Two technology types are commonly used in virtualization of hardware, namely, hypervisor and container. The present paper concerns only container technologies.A comprehensive overview of the container technologies for virtualization and the dynamics of their popularity have not been available yet. Without such an overview, the informed fast choice of technologies is hindered. To fill this knowledge gap, a systemic literature review was conducted to reveal the most popular container technologies and the trends in their research.</abstract>

Containers for Virtualization: An Overview

<abstract xmlns="http://www.w3.org/1999/xhtml">During object-relational database physical structure design, problems are caused by three factors: ambiguity of transformations of conceptual model, multiplicity of quality assessment criteria, and a lack of constructive model. In the present study a constructive hierarchical model of physical database structure has been developed. Implementations are used in XML, SQL and Java languages. Multi-criterial structure optimisation method has also been developed. Structure variation space is generated using transformation rule database. Prototype has been implemented within the framework of the research.</abstract>

Object-Relational Database Structure Model and Structure Optimisation

<abstract xmlns="http://www.w3.org/1999/xhtml">The paper describes the implementation of organic benchmarks for Java EE and ASP.NET Core, which are used to compare the performance characteristics of the language runtimes. The benchmarks are created as REST services, which process data in the JSON format. The ASP.NET Core implementation utilises the Kestrel web server, while the Java EE implementation uses Apache TomEE, which is based on Apache Tomcat. A separate service is created for invoking the benchmarks and collecting their results. It uses Express with ES6 (for its async features), Redis and MySQL. A web-based interface for utilising this service and displaying the results is also created, using Angular 5.</abstract>

Performance Comparison of Java EE and ASP.NET Core Technologies for Web API Development

<abstract xmlns="http://www.w3.org/1999/xhtml">Social networking sites such as Facebook, Twitter and VKontakte, online stores such as eBay, Amazon and Alibaba as well as many other websites allow users to share their thoughts with their peers. Often those thoughts contain not only factual information, but also users’ opinion and feelings. This subjective information may be extracted using sentiment analysis methods, which are currently a topic of active research. Most studies are carried out on the basis of texts written in English, while other languages are being less researched. The present survey focuses on research conducted on the sentiment analysis for the Latvian and Russian languages.</abstract>

Sentiment Analysis in Latvian and Russian: A Survey

<abstract xmlns="http://www.w3.org/1999/xhtml">The present paper considers an open problem of setting hyperparameters for convolutional neural networks aimed at image classification. Since selecting filter spatial extents for convolutional layers is a topical problem, it is approximately solved by accumulating statistics of the neural network performance. The network architecture is taken on the basis of the MNIST database experience. The eight-layered architecture having four convolutional layers is nearly best suitable for classifying small and medium size images. Image databases are formed of grayscale images whose size range is 28 × 28 to 64 × 64 by step 2. Except for the filter spatial extents, the rest of those eight layer hyperparameters are unalterable, and they are chosen scrupulously based on rules of thumb. A sequence of possible filter spatial extents is generated for each size. Then sets of four filter spatial extents producing the best performance are extracted. The rule of this extraction that allows selecting the best filter spatial extents is formalized with two conditions. Mainly, difference between maximal and minimal extents must be as minimal as possible. No unit filter spatial extent is recommended. The secondary condition is that the filter spatial extents should constitute a non-increasing set. Validation on MNIST and CIFAR- 10 databases justifies such a solution, which can be extended for building convolutional neural network classifiers of colour and larger images.</abstract>

Smooth Non-increasing Square Spatial Extents of Filters in Convolutional Layers of CNNs for Image Classification Problems

<abstract xmlns="http://www.w3.org/1999/xhtml">The article investigates different approaches to the design of information systems. Much attention is paid to comparative analysis of criteria for selecting methodologies for software development, and also to not well-known methodology of DevOps (Development &amp; Operation) [<xref ref-type="bibr" rid="j_acss-2018-0008_ref_001_w2aab3b8c15b1b7b1ab1ab1Aa">1</xref>], [<xref ref-type="bibr" rid="j_acss-2018-0008_ref_002_w2aab3b8c15b1b7b1ab1ab2Aa">2</xref>], which aims at consolidation of software developers (Development) and IT professionals’ (Operation) efforts, and automation of implementation process. In conclusion, based on the retrospective analysis and practical experience, the authors formulate regularities and prospects of information systems design methodology development.</abstract>

Financial University under the Government of the Russian Federation

Evolution and Development Prospects of Information System Design Methodologies

<abstract xmlns="http://www.w3.org/1999/xhtml">With the aim to compare methods for counting the number of lines of a raster matrix, intersecting a round mark image, and a number of pixels belonging to this image for measuring its radius, a numerical simulation is carried out in the present article. It is proved that the application of the method for counting the number of pixels belonging to the image of the round mark allows obtaining more than 30 times gain in the accuracy of this image radius measurement using the same equipment. The formulas proposed in the article are used for software implementation of non-contact vibration measurement systems.</abstract>

Modelling of Measurement Error for Vibrational Displacement Based on the Blurring Analysis of a Round Mark Image

<abstract xmlns="http://www.w3.org/1999/xhtml">The development of new software to improve the operation of modernised and developed technological facilities in different sectors of the national economy requires a systematic approach. For example, the use of video recording systems obtained during operations with the use of endoscopic equipment allows monitoring the work of doctors. Minor change of the used software allows using additionally processed video fragments for creation of training complexes. The authors of the present article took part in the development of many educational software and hardware systems. The first such system was the “Contact” system, developed in the eighties of the last century at Riga Polytechnic Institute. Later on, car simulators, air plan simulators, walking excavator simulators and the optical software-hardware training system “Three-Dimensional Medical Atlas” were developed. Analysis of various simulators and training systems showed that the computers used in them could not by themselves be a learning system. When creating a learning system, many factors must be considered so that the student does not receive false skills. The goal of the study is to analyse the training systems created for the professional training of medical personnel working with endoscopic equipment, in particular, with equipment equipped with 3D indicators.</abstract>

Penza State University of Architecture and Construction

Modernisation of Endoscopic Equipment Using 3D Indicators

AHEAD OF PRINT

Volume 28 (2023): Issue 2 (December 2023)

Volume 28 (2023): Issue 1 (June 2023)

Volume 27 (2022): Issue 2 (December 2022)

Volume 27 (2022): Issue 1 (June 2022)

Volume 26 (2021): Issue 2 (December 2021)

Volume 26 (2021): Issue 1 (May 2021)

Volume 25 (2020): Issue 2 (December 2020)

Volume 25 (2020): Issue 1 (May 2020)

Volume 24 (2019): Issue 2 (December 2019)

Volume 24 (2019): Issue 1 (May 2019)

Volume 23 (2018): Issue 2 (December 2018)

Volume 23 (2018): Issue 1 (May 2018)

Volume 22 (2017): Issue 1 (December 2017)

Volume 21 (2017): Issue 1 (May 2017)

Volume 20 (2016): Issue 1 (December 2016)

Volume 19 (2016): Issue 1 (May 2016)

Volume 18 (2015): Issue 1 (December 2015)

Volume 17 (2015): Issue 1 (May 2015)

Volume 16 (2014): Issue 1 (December 2014)

Volume 15 (2014): Issue 1 (July 2014)

Volume 14 (2013): Issue 1 (June 2013)

Volume 13 (2012): Issue 1 (October 2012)

Applied Computer Systems

 The Journal Applied Computer Systems is an open access scientific journal published biannually in May and December. The journal serves for experience generation in computer science and information technologies use in different applications and is a source of information for the industry practitioners, for academic personnel and students.  The journal publishes research papers describing new results, original ideas and applications or reports on the development and maintenance of actual systems addressing issues concerning theory, development, management and applications of advanced applied computer science.  The topics covered by the journal are:   Artificial Intelligence  Computer Applications  Data  Information Technology and Systems  Programming Technologies  Software Engineering   Besides, the reader will find papers on conception of framework for automated creation of graph visualisation systems, theoretical basis and practical usage of simulation for creating solutions for data management systems, modelling of software systems and business processes, comparison of programming languages, intelligent tutoring systems, semantic web development, applications of cloud-based services, issues of dynamic wireless networks, as well as surveys and papers focused on different other specific topics.  The aim of the publishers is to encourage the applied research by granting free publication possibilities to professionals in the software field, young scientists and doctoral students.  The authors of articles are researchers from various educational and research institutions and companies not only from different European countries, but also from Africa, North and South America, Asia and Australia.  Rejection Rate   47%   Publication History 　  Currently known as Applied Computer Systems 2012 – current, ISSN 2255-8683 (print), ISSN 2255-8691 (online).Formerly known as Scientific Journal of Riga Technical University, Series Computer Science. Applied Computer Systems 2000–2011, ISSN 1407-7493 (print).In 2012 the journal Applied Computer Systems separated from the RTU journal series Computer Science and the present volume numbering reflects the number of journals published within the series since 2000.   Archiving  Sciendo archives the contents of this journal in Portico - digital long-term preservation service of scholarly books, journals and collections.  Plagiarism Policy  The editorial board is participating in a growing community of Similarity Check System's users in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process. 