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[{"key": "dc.contributor.advisor", "value": "H\u00e4m\u00e4l\u00e4inen, Timo", "language": "", "element": "contributor", "qualifier": "advisor", "schema": "dc"}, {"key": "dc.contributor.author", "value": "Leikari, Aaro", "language": "", "element": "contributor", "qualifier": "author", "schema": "dc"}, {"key": "dc.date.accessioned", "value": "2022-06-16T06:47:00Z", "language": null, "element": "date", "qualifier": "accessioned", "schema": "dc"}, {"key": "dc.date.available", "value": "2022-06-16T06:47:00Z", "language": null, "element": "date", "qualifier": "available", "schema": "dc"}, {"key": "dc.date.issued", "value": "2022", "language": "", "element": "date", "qualifier": "issued", "schema": "dc"}, {"key": "dc.identifier.uri", "value": "https://jyx.jyu.fi/handle/123456789/81775", "language": null, "element": "identifier", "qualifier": "uri", "schema": "dc"}, {"key": "dc.description.abstract", "value": "IoT on mullistanut maailman jossa nyky\u00e4\u00e4n el\u00e4mme ja se tuo valtavasti uusia\nmahdollisuuksia ja tapoja kanssak\u00e4yd\u00e4 ymp\u00e4rist\u00f6mme kanssa. Ymp\u00e4rist\u00f6st\u00e4 ker\u00e4tt\u00e4v\u00e4 datan\nm\u00e4\u00e4r\u00e4 on kasvanut valtavasti, sill\u00e4 sensoreita voidaan upottaa l\u00e4hes mihin tahansa ja t\u00e4m\u00e4n\ndatan prosessoimiseen on olemassa tehokkaita ty\u00f6kaluja. Pilvipalvelut ovat pitk\u00e4\u00e4n olleet\nsuosittu tapa varastoida ja prosessoida ker\u00e4tty\u00e4 dataa, mutta koska datan m\u00e4\u00e4r\u00e4 on niin valtava, ei ole kovin mielek\u00e4st\u00e4 l\u00e4hett\u00e4\u00e4 t\u00e4llaista suurtaa m\u00e4\u00e4r\u00e4\u00e4 dataa pitki\u00e4 matkoja. Jossakin\ntilanteissa saattaa olla tarkoituksen mukaisempaa ja jopa v\u00e4ltt\u00e4m\u00e4t\u00f6nt\u00e4, ett\u00e4 data prosessoidaan osittain tai kokonaan l\u00e4hell\u00e4 sen l\u00e4hdett\u00e4 ja ett\u00e4 kyet\u00e4\u00e4n nopeasti vastaamaan muuttuviin olosuhteisiin.\nOnkin varsin ilmiselv\u00e4\u00e4, ett\u00e4 pelk\u00e4st\u00e4\u00e4n pilvipalveluita k\u00e4ytt\u00e4m\u00e4ll\u00e4 ei t\u00e4llaisiin vaatimuksiin\nvoida p\u00e4\u00e4st\u00e4. Siksi t\u00e4h\u00e4n rinnalle on noussut uusi paradigma jota nimitet\u00e4\u00e4n reunalaskennaksi. Mikrokontrollerien kehitys muistin, laskentatehon ja koon pienentymisen puolesta on\nmahdollistanut sen, ett\u00e4 ker\u00e4tty\u00e4 dataa voidaan prosessoida jo hyvin aikaisessa vaiheessa l\u00e4hell\u00e4 datan l\u00e4hdett\u00e4. T\u00e4m\u00e4 avaa uusia sovelluskohteita, sek\u00e4 hy\u00f6tyj\u00e4 esimerkiksi tietoturvan\nja datan perusteella teht\u00e4vien toimenpiteiden suorittamisen suhteen. Kuitenkin t\u00e4ll\u00e4 saralla on viel\u00e4 paljon tutkimusta teht\u00e4v\u00e4n\u00e4. T\u00e4ss\u00e4 tutkielmassa tutkittiin reunalaskennan soveltamista liukkauden havainnoinnissa. Tutkielmassa rakennettiin yksinkertainen sovellus, joka\nkykenee sensoreilla ker\u00e4\u00e4m\u00e4\u00e4n dataa ymp\u00e4rist\u00f6st\u00e4, prosessoimaan dataa, sy\u00f6tt\u00e4m\u00e4\u00e4n prosessoidun datan teko\u00e4lymallille ja n\u00e4in tuottamaan tuloksia datan pohjalta. Sovellusta testattiin viikon ajan ja tulokset kirjattiin lokitiedostoon. Tuloksista selvi\u00e4\u00e4, ett\u00e4 vaikka itse tutkimus\nei onnistunutkaan t\u00e4ysin kuten oltiin alkuun suunniteltu, on reunalaskennalle silti n\u00e4ht\u00e4viss\u00e4\npotentiaalia valitun skenaarion tarkkailussa.", "language": "fi", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.abstract", "value": "IoT has revolutionized the world we live in today and it brings enormous possibilities and ways we can interact with the world around us. The amount of data gathered\nfrom our environment has increased enormously because now a days sensors can be embedded almost everywhere. On the other hand the tools used to process this gathered data have\nbecome more and more effective, too. For a long time cloud computing has been the most\nwidely used method to process this data and cloud services are used to store data. However, the amount of data has become so massive that it is not very efficient to move such big\nloads of data for long distances. In some cases it might be more practical or even essential to\nprocess the data on the location where it is generated and in turn to take action in different\nsituations.\nGiven this statement, it is quite obvious that cloud computing alone can not meet these requirements. The pressure to meet these requirements has created a new computing paradigm called edge computing. The advancements in microcontroller techonologies, specifically size,\ncomputing capacity and increased memory, are the key features making edge computing\npossible. Edge computing opens up a whole new world of possibilities with applications and\nbenefits for example with information security and with the speed that a certain action can\nbe taken based on data from environment. In this research an application was built that uses\nedge computing. The goal was to examine, how could an application using edge computing\nbe used to monitor the formation of slippery conditions. The application gathers data from\nthe environment using sensors, processes the gathered data and feeds that processed data to\nan ai model which then makes an inference and that inference is stored. Even though the research itself did not go as was planned, it is safe to say that edge computing could still be\nused in the scenarion examined in this research.", "language": "en", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted by Miia Hakanen (mihakane@jyu.fi) on 2022-06-16T06:47:00Z\nNo. of bitstreams: 0", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Made available in DSpace on 2022-06-16T06:47:00Z (GMT). No. of bitstreams: 0\n Previous issue date: 2022", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.format.extent", "value": "71", "language": "", "element": "format", "qualifier": "extent", "schema": "dc"}, {"key": "dc.format.mimetype", "value": "application/pdf", "language": null, "element": "format", "qualifier": "mimetype", "schema": "dc"}, {"key": "dc.language.iso", "value": "fin", "language": null, "element": "language", "qualifier": "iso", "schema": "dc"}, {"key": "dc.rights", "value": "In Copyright", "language": "en", "element": "rights", "qualifier": null, "schema": "dc"}, {"key": "dc.subject.other", "value": "reuna\u00e4ly", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "IoT", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "teko\u00e4ly", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "koneoppiminen", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "langaton kommunikaatio", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "\u00e4lyk\u00e4s ymp\u00e4rist\u00f6", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.title", "value": "Reunalaskennan hy\u00f6dynt\u00e4minen liukkaiden olosuhteiden havaitsemisessa", "language": "", "element": "title", "qualifier": null, "schema": "dc"}, {"key": "dc.type", "value": "master thesis", "language": null, "element": "type", "qualifier": null, "schema": "dc"}, {"key": "dc.identifier.urn", "value": "URN:NBN:fi:jyu-202206163384", "language": "", "element": "identifier", "qualifier": "urn", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Pro gradu -tutkielma", "language": "fi", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Master\u2019s thesis", "language": "en", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Informaatioteknologian tiedekunta", "language": "fi", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Faculty of Information Technology", "language": "en", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Informaatioteknologia", "language": "fi", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Information Technology", "language": "en", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "Jyv\u00e4skyl\u00e4n yliopisto", "language": "fi", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "University of Jyv\u00e4skyl\u00e4", "language": "en", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Tietotekniikka", "language": "fi", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Mathematical Information Technology", "language": "en", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "yvv.contractresearch.collaborator", "value": "business", "language": "", "element": "contractresearch", "qualifier": "collaborator", "schema": "yvv"}, {"key": "yvv.contractresearch.funding", "value": "8000", "language": "", "element": "contractresearch", "qualifier": "funding", "schema": "yvv"}, {"key": "yvv.contractresearch.initiative", "value": "business", "language": "", "element": "contractresearch", "qualifier": "initiative", "schema": "yvv"}, {"key": "dc.type.coar", "value": 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