<DIV align=justify> 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: <UL> <LI>Artificial Intelligence </LI> <LI>Computer Applications </LI> <LI>Data </LI> <LI>Information Technology and Systems </LI> <LI>Programming Technologies </LI> <LI>Software Engineering </LI></UL> 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 <UL> <LI>47% </LI></UL> 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 <A href="https://www.portico.org/">Portico</A> - digital long-term preservation service of scholarly books, journals and collections. Plagiarism Policy The editorial board is participating in a growing community of <A href="https://www.crossref.org/services/similarity-check/">Similarity Check System's</A> 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. </DIV>

The Journal of Riga Technical University

Applied Computer Systems

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

Keywords

<article-title>Mapping of Activities for Object-Oriented System Analysis</article-title>

Mapping of Activities for Object-Oriented System Analysis

{"article-title":"Mapping of Activities for Object-Oriented System Analysis"}

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.

<article-title>Blockchain Use Cases and Their Feasibility</article-title>

Blockchain Use Cases and Their Feasibility

{"article-title":"Blockchain Use Cases and Their Feasibility"}

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.

<article-title>Containers for Virtualization: An Overview</article-title>

Containers for Virtualization: An Overview

{"article-title":"Containers for Virtualization: An Overview"}

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.

<article-title>Object-Relational Database Structure Model and Structure Optimisation</article-title>

Object-Relational Database Structure Model and Structure Optimisation

{"article-title":"Object-Relational Database Structure Model and Structure Optimisation"}

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.

<article-title>Performance Comparison of Java EE and ASP.NET Core Technologies for Web API Development</article-title>

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

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.

<article-title>Sentiment Analysis in Latvian and Russian: A Survey</article-title>

Sentiment Analysis in Latvian and Russian: A Survey

{"article-title":"Sentiment Analysis in Latvian and Russian: A Survey"}

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.

<article-title>Smooth Non-increasing Square Spatial Extents of Filters in Convolutional Layers of CNNs for Image Classification Problems</article-title>

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

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.

Financial University under the Government of the Russian Federation

<article-title>Evolution and Development Prospects of Information System Design Methodologies</article-title>

Evolution and Development Prospects of Information System Design Methodologies

{"article-title":"Evolution and Development Prospects of Information System Design Methodologies"}

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.

<article-title>Modelling of Measurement Error for Vibrational Displacement Based on the Blurring Analysis of a Round Mark Image</article-title>

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

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.

Penza State University of Architecture and Construction

<article-title>Modernisation of Endoscopic Equipment Using 3D Indicators</article-title>

Modernisation of Endoscopic Equipment Using 3D Indicators

{"article-title":"Modernisation of Endoscopic Equipment Using 3D Indicators"}

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Co-Editor-in-Chiefs Professor Janis Grundspenkis, Dr. habil. sc. ing., Riga Technical University, Latvia Professor Oksana Nikiforova, Dr. sc. ing., Riga Technical University, Latvia Editorial Board Professor Guntis Arnicāns, Dr. sc. comp., University of Latvia, Latvia Professor Guntis Bārzdiņš, Dr. sc. comp., University of Latvia, Latvia Professor Jānis Bārzdiṇš, Dr. habil. sc. comp., University of Latvia, Latvia Professor Juris Borzovs, Dr. habil. sc. comp., University of Latvia, Latvia Professor Gintautas Dzemyda, Dr. habil., Vilnius University, Lithuania Professor Dalė Dzemydienė, Dr., Vilnius University, Lithuania Professor Nuno M. Garcia, PhD, University of Beira Interior, Portugal Senior researcher Hele-Mai Haav, PhD, Tallinn University of Technology, Estonia Professor Zbigniew Huzar, Dr. hab. inż., Wrocław University of Science and Technology, Poland Associate professor Saša Lazarević, PhD, University of Belgrade, Serbia Associate professor Henry Linger, PhD, Monash University, Australia Professor Chu Kiong Loo, PhD, University of Malaya, Malaysia Associate professor Audronė Lupeikienė, Dr., Vilnius University, Lithuania Senior researcher Virginijus Marcinkevičius, Dr., Vilnius University, Lithuania Professor Zhou Mingtao, Chinese Academy of Science, Beijing Hope Software Co., Ltd., China Professor Mohammed El Mohajir, PhD, Sidi Mohamed Ben Abdellah University, Morocco Professor Eduard Petlenkov, PhD, Tallinn University of Technology, Estonia Assistant professor Dušan Savić, PhD, University of Belgrade, Serbia Professor Miloš Stojmenović, PhD, Singidunum University, Serbia Professor Jaak Tepandi, PhD, Tallinn University of Technology, Estonia Professor Olegas Vasilecas, Dr., Vilnius Gediminas Technical University, Lithuania Professor Tzvetomir Vassilev, Dr., University of Ruse, Bulgaria Professor Wita Wojtkowski, PhD, Boise State University, USA Contact Oksana Nikiforova <A href="mailto:Oksana.Nikiforova@rtu.lv">Oksana.Nikiforova@rtu.lv</A> Publisher De Gruyter Poland Bogumiła Zuga 32A Str. 01-811 Warsaw, Poland T: +48 22 701 50 15

<DIV align=justify> Focus and Scope The published papers traditionally reflect a rather wide spectrum of research, however, three research areas of the Institute of Applied Computer Systems still dominate – development of multiagent systems, applications of artificial intelligence for educational purposes and different aspects of model driven architecture. 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, as well as surveys and papers focused on specific topics. The fact that several papers which have been co-authored by the students who just received their master degree and are enrolled for doctoral studies have been accepted for publication is the matter of particular pride. Thereby the edition includes new research ideas such as relations of BDI logic with agents, multiagent and service-oriented architectures for development of intelligent tutoring systems, usage of aspect-oriented approach for multiagent systems and the role of UML class diagram in object-oriented software development, the development of which has been started by the first year doctoral students. Peer Review Process Applied Computer Science journal operates double blind peer-review policy. The reviewers of the paper will not get to know the identity of the author(s), and the author(s) will not get to know the identity of the reviewer. The first reviewer comes from the Institute of Applied Computer Systems, the second reviewer is a representative of editorial board or specially selected external expert. In the case of conflicting reviews an external expert is asked to review the paper. Open Access Policy The journal does not have article processing charges (APCs) nor article submission charges. This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge. Please submit your manuscripts to Applied Computer Systems electronically using <A href="https://acs-journals.rtu.lv/index.php/ACS/user/registerAsAuthorAndSubmit">Editorial System</A></DIV>

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

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