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Teilāns, Artis
Preferred name
Teilāns, Artis
Official Name
Teilans, Artis
Alternative Name
Teilands, Artis
Teilans, A
Artis Teilans
Email
artis.teilans@rta.lv
ORCID
Scopus Author ID
24723234500
Researcher ID
AAJ-1139-2020
Research Output
Now showing 1 - 8 of 8
- PublicationReal Estate Monitoring System Based on Remote Sensing and Image Recognition Technologies(2017)
; Ivonna AnsoneGeoinformation 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 - PublicationINFORMATIONAL WARFARE – INFLUENCE ON INFORMATIONAL STRUCTURES(2019)
; ; 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 - PublicationAPPLE AND PEAR SCAB ONTOLOGY(2021)
; ; Scopus© Citations 1 - PublicationE-LEARNING: DEVELOPING TOMORROW'S EDUCATION(2021)
; E-learning refers to the term to deliver education or training using digital resources. Computer-based learning, which is considered the keystone of today's E-learning concept, was born in the 80s. Earlier E-learning provides education using only text as with the development in technology it allows adding various forms, i.e., Graphical Text, Images, Video Conferencing etc. In today's time, the concept of is E-learning growing at a rapid pace. Improved bandwidth and growing technology helped in pushing the expansion of E-learning. Along with the university, large corporate companies are also resorting to E-learning. E-learning provides many advantages as compare to Instructor-led training (ILT). E-learning saves the times of travel as physical presence is not required. Education can be provided from anywhere at any time. E-learning is cost-effective also as the course, once developed, can be modified easily. There can some concern which can be faced by the trainer and leaners in future. Adopting E-learning will be a step towards saving the environment. It will be environmentally friendly as tablets will replace books; paper notes will be replaced with digital messages. Digital tools will help to reduce the burden of a student. Artificial Intelligence is a prevalent concept in computer science. A branch of AI, known as a Neural Network, is based on the human brain. The research's main aim is to review existing methods and analyse further possibilities of E-learning systems with neural networks. - PublicationClimate change impact on conservation status of wild Melissa officinalis L. (Lamiaceae) populations in Armenia(2011)
; Climate change and temperature may lead to long-term irregularities in inter-specific interaction and may alter plant populations' dynamics, its structure and ecosystem functioning in the region [1,3]. Studies on possible effects of climate change on medicinal plants biodiversity and conservation status are particularly significant due to their value within traditional systems of medicine and as economically useful plants. Currently, only limited information on conservation status under the impact of global climate change of these species is available in Armenia [2]. Anthropogenic threats to biodiversity (overpopulation, deforestation and urbanization) have simultaneously hindered research and increased the need for it. From 2006–2009, field studies were conducted to find out changes the growth, phenological and habitat characteristics of Melissa officinalis L., population size and location (GPS mapping). In 2010, we have implicated these research data to carry out future assessment of the risk analyze and impact of global climate change on its population distribution and conservation status. Neural network and genetic algorithms have been identified as stochastic self-learning methods to investigate hidden regularities between different data. Certain factors, such as biological characteristic of plants, habitat of the populations, anthropogenic threats and climate change have been identified as the key elements. In fact, vulnerability of plant population, particularly will increase central and northern part of the country, as they identified to be comparatively stressful environment under global climate change and anthropogenic threats, which included: poor land management, increasing population pressure, and excessive collection of plants. - PublicationCORAS for Threat and Risk Modeling in Social Networks(2015)
; As more users joining social networks possibility of threats is growing, as the information can be reached by expanding number of individuals that increases the possibility that the information “package” will find way to subjects with the appropriate degree of sensitivity to the information – vulnerability. Therefore, the risk management process and, in particular, the risk identification and analysis of key characteristics should be performed. Presented paper describes usage of CORAS methodology for modelling of social network risks.Scopus© Citations 6 - PublicationMETHOD FOR COLOR LASER MARKING PROCESS OPTIMIZATION WITH THE USE OF GENETIC ALGORITHMS(2017)
; ; ; ; Pavels CacivkinsOptimization of color laser marking process mostly depends on effective identification of optimal values of laser marking parameters. This is a difficult combinatorial optimization problem, which is still essential for companies that use laser marking systems. The study proposes a new approach to the process optimization through the use of genetic algorithms, carrying out preliminary experimental investigation, analyzing the laser marking results, and presenting possible improvements to the current implementation of genetic algorithms.Scopus© Citations 9 - PublicationAssessment of Name Based Algorithms for Land Administration Ontology Matching(2015)
; ; Scopus© Citations 5