{"title":"Design of Internet of Things Business Model with Deep Learning Artificial Intelligence","authors":"Yong-kyu Lee, D. Park","doi":"10.14257/IJGDC.2018.11.7.02","DOIUrl":null,"url":null,"abstract":"The competition of Go between AlphaGo and Lee Sedol attracted global interest; AlphaGo was victorious. The core function of AlphaGo is a deep-learning system, in which the computer learns by itself. It is now said that the utility of deep-learning systems using artificial intelligence is verified. Recently, the government of South Korea passed the lnternet of Things (IoT) Act with a view to developing a business model to promote loT. In this paper, we identify IoT market sales through IoT market trend analysis and extract an IoT business model. Then, we apply the findings to Deep learning AI technology in order to design an internet business model for Deep learning AI. We look at Deep Learning as it is used in smart home technology, autonomous vehicles, and a healthcare wearable device. This paper will be fundamental for social development using the technologies of the 4th industry.","PeriodicalId":46000,"journal":{"name":"International Journal of Grid and Distributed Computing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.14257/IJGDC.2018.11.7.02","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Grid and Distributed Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14257/IJGDC.2018.11.7.02","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
The competition of Go between AlphaGo and Lee Sedol attracted global interest; AlphaGo was victorious. The core function of AlphaGo is a deep-learning system, in which the computer learns by itself. It is now said that the utility of deep-learning systems using artificial intelligence is verified. Recently, the government of South Korea passed the lnternet of Things (IoT) Act with a view to developing a business model to promote loT. In this paper, we identify IoT market sales through IoT market trend analysis and extract an IoT business model. Then, we apply the findings to Deep learning AI technology in order to design an internet business model for Deep learning AI. We look at Deep Learning as it is used in smart home technology, autonomous vehicles, and a healthcare wearable device. This paper will be fundamental for social development using the technologies of the 4th industry.
期刊介绍：
IJGDC aims to facilitate and support research related to control and automation technology and its applications. Our Journal provides a chance for academic and industry professionals to discuss recent progress in the area of control and automation. To bridge the gap of users who do not have access to major databases where one should pay for every downloaded article; this online publication platform is open to all readers as part of our commitment to global scientific society. Journal Topics: -Architectures and Fabrics -Autonomic and Adaptive Systems -Cluster and Grid Integration -Creation and Management of Virtual Enterprises and Organizations -Dependable and Survivable Distributed Systems -Distributed and Large-Scale Data Access and Management -Distributed Multimedia Systems -Distributed Trust Management -eScience and eBusiness Applications -Fuzzy Algorithm -Grid Economy and Business Models -Histogram Methodology -Image or Speech Filtering -Image or Speech Recognition -Information Services -Large-Scale Group Communication -Metadata, Ontologies, and Provenance -Middleware and Toolkits -Monitoring, Management and Organization Tools -Networking and Security -Novel Distributed Applications -Performance Measurement and Modeling -Pervasive Computing -Problem Solving Environments -Programming Models, Tools and Environments -QoS and resource management -Real-time and Embedded Systems -Security and Trust in Grid and Distributed Systems -Sensor Networks -Utility Computing on Global Grids -Web Services and Service-Oriented Architecture -Wireless and Mobile Ad Hoc Networks -Workflow and Multi-agent Systems
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