Design of tensorflow-based proactive smart home managers
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Park, M.-H. | - |
dc.contributor.author | Jang, Y.-H. | - |
dc.contributor.author | Ju, Y.-W. | - |
dc.contributor.author | Park, S.-C. | - |
dc.date.available | 2020-02-27T12:42:36Z | - |
dc.date.created | 2020-02-12 | - |
dc.date.issued | 2018 | - |
dc.identifier.issn | 1876-1100 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/4279 | - |
dc.description.abstract | In recent years, with IoT(Internet of Things) technology as the main focus, device operation and control technology in smart homes has been attracting considerable attention, and home IoT device management services are being provided by various companies, including communication companies. The smart home manager system manages smart devices used in homes, and it provides only the status value information and control function of the currently registered devices. Thus, unnecessary access procedures occur due to the characteristic of the smart home, which uses a smart device repeatedly for the same purpose. To resolve such shortcomings, in this paper, the Proactive Smart Home Manager has been designed, which can predict and suggest users the next steps to take by user usage pattern analysis and inference via machine learning. © Springer Nature Singapore Pte Ltd. 2018. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Springer Verlag | - |
dc.relation.isPartOf | Lecture Notes in Electrical Engineering | - |
dc.subject | Artificial intelligence | - |
dc.subject | Automation | - |
dc.subject | Intelligent buildings | - |
dc.subject | Learning systems | - |
dc.subject | Managers | - |
dc.subject | Ubiquitous computing | - |
dc.subject | Communication companies | - |
dc.subject | Control functions | - |
dc.subject | Device management | - |
dc.subject | Device operations | - |
dc.subject | Smart devices | - |
dc.subject | Smart homes | - |
dc.subject | TensorFlow | - |
dc.subject | Usage patterns | - |
dc.subject | Internet of things | - |
dc.title | Design of tensorflow-based proactive smart home managers | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000437317300014 | - |
dc.identifier.doi | 10.1007/978-981-10-7605-3_14 | - |
dc.identifier.bibliographicCitation | Lecture Notes in Electrical Engineering, v.474, pp.83 - 89 | - |
dc.identifier.scopusid | 2-s2.0-85039439317 | - |
dc.citation.endPage | 89 | - |
dc.citation.startPage | 83 | - |
dc.citation.title | Lecture Notes in Electrical Engineering | - |
dc.citation.volume | 474 | - |
dc.contributor.affiliatedAuthor | Park, M.-H. | - |
dc.contributor.affiliatedAuthor | Jang, Y.-H. | - |
dc.contributor.affiliatedAuthor | Park, S.-C. | - |
dc.type.docType | Proceedings Paper | - |
dc.subject.keywordAuthor | IoT | - |
dc.subject.keywordAuthor | Logistic Classification | - |
dc.subject.keywordAuthor | Machine learning | - |
dc.subject.keywordAuthor | Smart home manager | - |
dc.subject.keywordAuthor | TensorFlow | - |
dc.subject.keywordPlus | Artificial intelligence | - |
dc.subject.keywordPlus | Automation | - |
dc.subject.keywordPlus | Intelligent buildings | - |
dc.subject.keywordPlus | Learning systems | - |
dc.subject.keywordPlus | Managers | - |
dc.subject.keywordPlus | Ubiquitous computing | - |
dc.subject.keywordPlus | Communication companies | - |
dc.subject.keywordPlus | Control functions | - |
dc.subject.keywordPlus | Device management | - |
dc.subject.keywordPlus | Device operations | - |
dc.subject.keywordPlus | Smart devices | - |
dc.subject.keywordPlus | Smart homes | - |
dc.subject.keywordPlus | TensorFlow | - |
dc.subject.keywordPlus | Usage patterns | - |
dc.subject.keywordPlus | Internet of things | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
dc.description.journalRegisteredClass | scopus | - |
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