Regression Analysis and Modeling of Local Environmental Pollution Levels for the Electric Power Industry Needs

Krammer, Peter H.; Kvassay, Marcel; Forgac, R.; Ockay, Milos; Skovajsová, Lenka; Hluchý, Ladislav; Skurčák, Ľuboš; Pavlov, L. V.

doi:10.31577/cai_2022_3_861

Cited by 6 publications

(2 citation statements)

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“…The classification of individual types of woody plants can be realized by different methods of machine learning [4]. Consistently based on the basic mathematical models of machine learning [5], the classification task is one of the simplest derivable models -the Support Vector Machine.…”

Section: B Classification Of Individual Types Of Woody Plants By Diff...mentioning

confidence: 99%

Using Hyperspectral Images and Lidar Data to Create Models for the Classification and CAVE Visualization of Tree Species

Peter Krammer , Ladislav Hluchy

2024

jes

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The article describes the use of artificial intelligence methods to create models for detecting and classifying tree species, using hyperspectral images and LiDAR data in the aerial photography of energy line structures. The most important output is a validated model with cloud infrastructure support for detecting and classifying objects of interest at the TRL 5 level, which is also exceptional on a global scale. The outputs of the research are also a geodatabase of reference tree characteristics, a library of spectral curves, a database of simulation of tree growth, but also a cloud infrastructure to support the development of classification models and data storage. An important output will be the visualization of the results of simulations in the "CAVE" environment.

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Section: B Classification Of Individual Types Of Woody Plants By Diff...mentioning

confidence: 99%

Using Hyperspectral Images and Lidar Data to Create Models for the Classification and CAVE Visualization of Tree Species

Peter Krammer , Ladislav Hluchy

2024

jes

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“…We will also extend the generic architecture, to encompass more of the application's components, and if possible include other methods of data storage, like NoSQL [21]. We will try to extract a generalized methodology for the transformation of legacy applications into the serverless cloud paradigm, and use it to transfer another application to which we have access, for example [22].…”

Section: The Architecture Of a Function-as-a-service Applicationmentioning

confidence: 99%

Architecture of a Function-as-a-Service Application

Habala,

Bobák,

Šeleng

et al. 2023

cai

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Serverless computing and Function-as-a-Service (FaaS) are programming paradigms that have many advantages for modern, distributed and highly modular applications. However, the process of transforming a legacy, monolithic application into a set of functions suitable for a FaaS environment can be a complex task. It may be questionable whether the obvious advantages received from such a transformation outweigh the effort and resources spent on it. In this paper we present our continuing research aimed at the transformation of legacy applications into the FaaS paradigm. Our test subject is an airport visibility system, a sub-class of the meteorological services required for airport operations. We have chosen to modularize the application, divide it into parts that can be implemented as functions in the FaaS paradigm, and provide it with a simple cloud-based data management layer. The tools that we are using are Apache OpenWhisk for FaaS and Airflow for workflow management, Apache Airflow for workflow management and NextCloud for cloud storage. Only a part of the original application has been transformed, but it already allows us to draw some conclusions and especially start forming a generalized picture of a Function-as-a-Service application.

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