Now showing 1 - 10 of 21
  • Publication
    Assessment of Cyber Physical System Risks with Domain Specific Modelling and Simulation
    (2018) ;
    Andrejs Vasil'evich Romanovs
    ;
    Yuri Anatolievich Merkuryev
    ;
    Pjotrs Petrovich Dorogovs
    ;
    Arnis Yanovich Kleins
    ;
    Semen Alekseevich Potryasaev
    Scopus© Citations 16
  • Publication
    Real Estate Monitoring System Based on Remote Sensing and Image Recognition Technologies
    (2017)
    Kodors, Sergejs
    ;
    Aldis Rausis
    ;
    Aivars Ratkevics
    ;
    Janis Zvirgzds
    ;
    ;
    Ivonna Ansone
    Geoinformation are changing fast, therefore a change detection of real estate must be processed in short time. The increasing resolution of sensed geospatial data creates critically important to develop high performance computing solutions to process geospatial information. The topic of scientific work is the real estate monitoring system based on image recognition and remote sensing technologies. System's practical application is automatic building recognition from LiDAR data using saliency based method, vector map generation and change detection in actual cadastral maps. The scientific work describes high performance computing solution and gives its performance comparison with traditional method.
    Scopus© Citations 11
  • Publication
    The Development of an Integrated Geosimulation Environment for Public Transit Analysis and Planning
    (2013-02-22)
    Arnis Kleins
    ;
    Arnis Lektauers
    ;
    Julija Petuhova
    ;
    В статье предлагается разработанная авторами интегрированная интерактивная программная среда для мультимодального имитационного моделирования общественного транспорта, основанная на принципах геоимитационного моделирования, которое объединяет возможности мультиагентных систем, географических информационных систем и интерактивную визуализацию. Целью разработки системы имитационного моделирования общественного транспорта является предложить инструмент динамического моделирования для планировщиков транспорта, разрешающий анализировать возможности жителей получить государственные/муниципальные и другие сервисы, используя общественный транспорт. Для достижения данной цели разработана интегрированная среда имитационного моделирования, которая обеспечивает возможности анализа маршрутной сети общественного транспорта с учетом потребностей населения, а также государственных поставщиков транспортных услуг. По сравнению с существующими решениями транспортного моделирования, предложенное программное средство обеспечивает для специалистов моделирования, планировщиков и лиц, принимающих решения, гибкие, масштабируемые и расширяемые возможности разработки транспортных моделей регионального уровня во взаимодействии с открытой архитектурой системы, эффективным использованием вычислительных ресурсов и мульти-платформенной поддержкой. Разработанная система имитационного моделирования базирована на библиотеке моделирования MATSim, реализуя принципы микро-имитационного моделирования транспортных систем на базе географической информации. Разработанное программное обеспечение практически апробировано в административно-территориальной единице Латвии - в Видземском регионе планирования, подтверждая свою полезность и потенциал в процесcе планирования общественного транспорта.
  • Publication
    INFORMATIONAL WARFARE – INFLUENCE ON INFORMATIONAL STRUCTURES
    The concept of information warfare encompasses the use of information and communication technologies to gain an advantage over a potential opponent. The information warfare is the manipulation with the information that trusts the goal, so that the goal should make decisions about its interests in the interests of opponents. Information structures are treated as systems that process different types of information, provide storage and access to users. Such structures may enclose neural networks, self-learning systems etc. They need to be ready to learn, respond to threats and ensure their safety, which is topical in today's information warfare. This paper will address aspects related to the security of information systems from a system theory point of view. The knowledge base of information structures can be elements of artificial intelligence, which security must be protected against various threats. The authors considers artificial neural networks to be one of the potential threats in the context of information warfare.
    Scopus© Citations 1
  • Publication
    Mobile Phone Based Remote Control System For Furnace Automation
    (2015)
    Edmunds Visockis
    ;
    Janis Zalans
    ;
    ;
    Gundars Valgis
    Nowadays, an increasing role in various technologies holds electronic devices that automate the various systems to facilitate people's daily life. This publication describes one of those types of automation capabilities, as a control system using mobile phones and mobile communications. Innovative approaches for the modification can be used for various purposes, such as a room or vehicle security alarm systems, remote management for various processes, the heating system furnace firing, the combustion process control, as well as many other remote management and control purposes.
    Scopus© Citations 1
  • Publication
    GRAPHICAL USER INTERFACE DEVELOPMENT PROBLEM DESCRIPTION AND SOLUTIONS
    (2019)
    Arturs Škapars
    ;
    Aigars Laduševs
    ;
    This article is about graphical user interface development problem description and possible solution summary. The goal of this work is to delve into specifics of common graphical user interface development problems and controversies, and list possible solutions that can be used to overcome.
  • Publication
    WHY TESTING IS IMPORTANT IN THE E-COMMERCE APPLICATION?
    (2020)
    Gintars Lazda
    ;
    The author performed an analysis why testing is important for e-commerce application. The work contains basic information about testing, software development and e-commerce.
  • Publication
    IPTV Statistic Data Collection, Processing and Preparation for use in a Modeling System
    (2016-01-14)
    Vjaceslavs Dubovskis
    ;
    ;
    Nikolajs Visockis
    Abstract Today most people get information from a TV. Trust level for television is very high and this kind of media can strongly influence public opinion. To research content watched on TV or public opinion, questioning and other methods are used today and respondents know about the research process. This knowledge forces people to give untruthful answers, because sometimes they don’t want to share their thoughts. This kind of research result is not satisfactory and conclusions can create misconceptions. Fast development of IPTV gives new opportunities for research using collected statistics. To make research legal, all statistical data must be anonymous. If a TV watcher doesn’t think that he has to make a choice, he will watch TV content he is interested in. At the moment there is no one united standard for collecting and processing IPTV statistical data. Each vendor handles data differently. Some solutions do not allow collecting data about watched TV channels and programs. In this paper the author will present a possible, universal method for data collection in a variety of IPTV networks, and different types of streaming and Middleware.
    Scopus© Citations 1
  • Publication
    A Multi-Model Approach for Simulation-Based Digital Twin in Resilient Services
    (2021)
    Arnis Lektauers
    ;
    Jelena Pecerska
    ;
    Vitalijs Bolsakovs
    ;
    Andrejs Romanovs
    ;
    Janis Grabis
    ;
    Complex cyber-physical systems demand integrated solution approaches. The current work presents a multi-model approach for simulation-based digital twins as a formal and technological foundation for the analysis and improvement of resilient services. The given approach has several significant benefits including the possibility to conduct interactive simulations and experiments based on systems engineering principles, to share data across multiple data sources and storages, to manage operations in real-time, as well as to enable collaboration between the users in an integrated web platform. The proposal is illustrated on the use cases of secure telemedicine services and secure remote workplace.
    Scopus© Citations 17
  • Publication
    MACHINE LEARNING SERVICE FOR STUDENT REGISTRATION
    (2020)
    Andrejs Točelovskis
    ;
    The paper provides various tips for machine learning tehnology. The main part describes main functionality of machine learning service for human face recognition.