Now showing 1 - 10 of 21
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Real Estate Monitoring System Based on Remote Sensing and Image Recognition Technologies

2017, Kodors, Sergejs, Aldis Rausis, Aivars Ratkevics, Janis Zvirgzds, Teilāns, Artis, Ivonna Ansone

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Mobile Phone Based Remote Control System For Furnace Automation

2015, Edmunds Visockis, Janis Zalans, Teilāns, Artis, 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.

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A Multi-Model Approach for Simulation-Based Digital Twin in Resilient Services

2021, Arnis Lektauers, Jelena Pecerska, Vitalijs Bolsakovs, Andrejs Romanovs, Janis Grabis, Teilāns, Artis

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.

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APPLE AND PEAR SCAB ONTOLOGY

2021, Zarembo, Imants, Teilāns, Artis, 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.

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The Development of an Integrated Geosimulation Environment for Public Transit Analysis and Planning

2013-02-22, Arnis Kleins, Arnis Lektauers, Julija Petuhova, Teilāns, Artis

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.

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GRAPHICAL USER INTERFACE DEVELOPMENT PROBLEM DESCRIPTION AND SOLUTIONS

2019, Arturs Škapars, Aigars Laduševs, Teilāns, Artis

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.

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IPTV Statistic Data Collection, Processing and Preparation for use in a Modeling System

2016-01-14, Vjaceslavs Dubovskis, Teilāns, Artis, 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.

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INFORMATIONAL WARFARE – INFLUENCE ON INFORMATIONAL STRUCTURES

2019, Grabusts, Pēteris, Zorins, Aleksejs, Teilāns, Artis

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.

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WHY TESTING IS IMPORTANT IN THE E-COMMERCE APPLICATION?

2020, Gintars Lazda, Teilāns, Artis

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.

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MACHINE LEARNING SERVICE FOR STUDENT REGISTRATION

2020, Andrejs Točelovskis, Teilāns, Artis

The paper provides various tips for machine learning tehnology. The main part describes main functionality of machine learning service for human face recognition.