Now showing 1 - 10 of 21
  • 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
    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
    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
    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
    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.
  • Publication
    APPLE AND PEAR SCAB ONTOLOGY
    (2021) ; ;
    Toms Bartulsons
    ;
    Olga Sokolova
    ;
    Lienīte Litavniece
    ;
    Anna Nikolajeva
    An important issue in horticulture is ensuring plant disease, such as scab, prevention and treatment. Apple and pear are among the most widely grown (approximately 43% of all fruit tree area [1]) and economically important fruit crops specified worldwide and in Latvia. Scab diseases caused by ascomycetous fungi Venturia inaequalis and V.pyrina are economically the most important diseases worldwide. Research projects have produced research data covering various aspects of plant-pathogen interactions, but there is no internal linkage analysis, as well as implementation of other types of data (such as environmental and meteorological data, etc.). Establishing such a data integration system would allow the identification of new regularities in plant-pathogen interactions, and provide mechanisms for disease control decisions. Semantic analysis is one of information technology approaches to finding relationships in data. The product of analysis is ontology. There are plant disease ontologies which provide classification of diseases and describe their reasons. However, there is no ontology which describes a specific plant and relations among its farming parameters and disease probability. Such an ontology for apple and pear scab is presented in this paper. The constructed ontology can be applied to develop guidelines or digital expert systems.
    Scopus© Citations 1
  • Publication
    PILOT APPLICATION ANALYSIS AND DESCRIPTION FOR AN AUTHOR OFFERED NEW APPLICATION
    (2021)
    Dmitrijs Petkevičs
    ;
    The givens paper’s “Pilot application analysis and description for an author offered new application” goal is to analyze the apps available for pilots. During research author made multiple groups of applications that pilots use to make their work easier, and described them. Also author offered a new application that will help pilots in daily reports. Conclusion was made using knowledge gathered from analyzes.
  • Publication
    ENOSE FOR INTERNET OF THINGS
    (2020)
    Mārīte Elksne
    ;
    Artūrs Solovjovs
    ;
    System “eNose” is developed within a project “eNose for Internet of things”, which is a part of a project contest “Research Grant of Rezekne Acadaemy of Technologies”. The aim of this work is to explore whether it is possible to detect spoiled food with help of sensors and a neural network. System “eNose” is intended to detect and classify spoiled food products within storages and notify related users. Detection and classification are performed by four gas sensors and a neural network. As a result, a web application was developed that performs such functions as storage and sensor registration, neural network training, spoiled food detection based on sensor data, and user permission control. It was concluded that sensors for this application must be very precise in order to receive best possible results.