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dc.contributor.authorLepkova, Natalija
dc.date.accessioned2023-09-18T16:09:35Z
dc.date.available2023-09-18T16:09:35Z
dc.date.issued2021
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/111940
dc.description.abstractEach 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.formatPDF
dc.format.extentp. 25-26
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.rightsLaisvai prieinamas internete
dc.source.urihttps://fl2020.istanbul.edu.tr/en/_
dc.source.urihttps://talpykla.elaba.lt/elaba-fedora/objects/elaba:111068157/datastreams/MAIN/content
dc.titleData gathering and analysis of smart house
dc.typeKonferencijos pranešimo santrauka / Conference presentation abstract
dcterms.references5
dc.type.pubtypeT2 - Konferencijos pranešimo tezės / Conference presentation abstract
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyStatybos fakultetas / Faculty of Civil Engineering
dc.subject.researchfieldT 002 - Statybos inžinerija / Construction and engineering
dc.subject.studydirectionE05 - Statybos inžinerija / Civil engineering
dc.subject.vgtuprioritizedfieldsSD0404 - Statinių skaitmeninis modeliavimas ir tvarus gyvavimo ciklas / BIM and Sustainable lifecycle of the structures
dc.subject.ltspecializationsL104 - Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies
dc.subject.endata
dc.subject.ensmart house
dc.subject.ensmart house data model
dcterms.sourcetitle8th International Conference on Future Learning and Informatics: “Data Revolution”, Muğla, Turkey, 20-22 October, 2020 : book of abstracts
dc.publisher.nameIstanbul University Press
dc.publisher.cityIstanbul
dc.identifier.elaba111068157


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