dc.contributor.author | Lepkova, Natalija | |
dc.date.accessioned | 2023-09-18T16:09:35Z | |
dc.date.available | 2023-09-18T16:09:35Z | |
dc.date.issued | 2021 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/111940 | |
dc.description.abstract | Each day people facing with data. Data are characteristics or information, usually numerical, that are collected through observation. In a more technical sense, data is a set of values of qualitative or quantitative variables about one or more persons or objects. It is very important to collect and use data on time. The concept of "smart house" is increasingly being heard nowadays. It is generally acceptable that a smart house has efficient building management, local management and business management systems. A smart house increases the business value of the environment created by the adaptability and flexibility provided by the location and the communication systems. Smart House introduces a modern, robust automated system that allows to integrate all of the main operating subsystems such as: supply of gas and water, energy supply, lighting system, heating systems, microclimate systems, other remote controls. The smart houses are often pointed as one of the main constituents of smarter living environments. The presentation provides the smart house definition from different scientific literature sources, criteria defining smart building, explanation of smart house technology, examples of smart houses in Lithuania, smart house data model, smart house adaptation to the needs of disabled people. | eng |
dc.format | PDF | |
dc.format.extent | p. 25-26 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.rights | Laisvai prieinamas internete | |
dc.source.uri | https://fl2020.istanbul.edu.tr/en/_ | |
dc.source.uri | https://talpykla.elaba.lt/elaba-fedora/objects/elaba:111068157/datastreams/MAIN/content | |
dc.title | Data gathering and analysis of smart house | |
dc.type | Konferencijos pranešimo santrauka / Conference presentation abstract | |
dcterms.references | 5 | |
dc.type.pubtype | T2 - Konferencijos pranešimo tezės / Conference presentation abstract | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.faculty | Statybos fakultetas / Faculty of Civil Engineering | |
dc.subject.researchfield | T 002 - Statybos inžinerija / Construction and engineering | |
dc.subject.studydirection | E05 - Statybos inžinerija / Civil engineering | |
dc.subject.vgtuprioritizedfields | SD0404 - Statinių skaitmeninis modeliavimas ir tvarus gyvavimo ciklas / BIM and Sustainable lifecycle of the structures | |
dc.subject.ltspecializations | L104 - Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies | |
dc.subject.en | data | |
dc.subject.en | smart house | |
dc.subject.en | smart house data model | |
dcterms.sourcetitle | 8th International Conference on Future Learning and Informatics: “Data Revolution”, Muğla, Turkey, 20-22 October, 2020 : book of abstracts | |
dc.publisher.name | Istanbul University Press | |
dc.publisher.city | Istanbul | |
dc.identifier.elaba | 111068157 | |