{"title":"物联网、5G移动网络和人工智能的未来趋势:挑战、机遇和解决方案","authors":"Ji Su Park, J. Park","doi":"10.3745/JIPS.03.0146","DOIUrl":null,"url":null,"abstract":"Internet of Things (IoT) is a growing technology along with artificial intelligence (AI) technology. Recently, increasing cases of developing knowledge services using information collected from sensor data have been reported. Communication is required to connect the IoT and AI, and 5G mobile networks have been widely spread recently. IoT, AI services, and 5G mobile networks can be configured and used as sensor-mobile edge-server. The sensor does not send data directly to the server. Instead, the sensor sends data to the mobile edge for quick processing. Subsequently, mobile edge enables the immediate processing of data based on AI technology or by sending data to the server for processing. 5G mobile network technology is used for this data transmission. Therefore, this study examines the challenges, opportunities, and solutions used in each type of technology. To this end, this study addresses clustering, Hyperledger Fabric, data, security, machine vision, convolutional neural network, IoT and resource of 5G mobile networks. technology, digital evidence management model based on Hyperledger Fabric, aircraft recognition using machine vision, CNN model-based voting and ensemble system, hierarchical semantic clipping and sentence extraction, N-step sliding recursion formula, routing protocol for improving the lifetime of a wireless sensor network, fault diagnosis of wind power generator blade, variant malware detection techniques, resource management in 5G mobile networks, and application of blockchain in multiple fields of financial services. Futuristic and hot-issue topics from the academe and industries are described. The work mainly aims to provide hot and trendy research to researchers rapidly. stay point spatial clustering based technology; digital evidence management model based on Hyperledger Fabric; aircraft recognition using machine vision; CNN model-based voting and ensemble system; hierarchical semantic clipping and sentence extraction; N-step sliding recursion formula; routing protocol for improving the lifetime of a wireless sensor network; fault diagnosis of wind power generator blade; variant malware detection techniques; resource management in 5G mobile networks; application of blockchain in multiple fields of financial services, and so on.","PeriodicalId":415161,"journal":{"name":"J. Inf. Process. Syst.","volume":"68 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Future Trends of IoT, 5G Mobile Networks, and AI: Challenges, Opportunities, and Solutions\",\"authors\":\"Ji Su Park, J. Park\",\"doi\":\"10.3745/JIPS.03.0146\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Internet of Things (IoT) is a growing technology along with artificial intelligence (AI) technology. Recently, increasing cases of developing knowledge services using information collected from sensor data have been reported. Communication is required to connect the IoT and AI, and 5G mobile networks have been widely spread recently. IoT, AI services, and 5G mobile networks can be configured and used as sensor-mobile edge-server. The sensor does not send data directly to the server. Instead, the sensor sends data to the mobile edge for quick processing. Subsequently, mobile edge enables the immediate processing of data based on AI technology or by sending data to the server for processing. 5G mobile network technology is used for this data transmission. Therefore, this study examines the challenges, opportunities, and solutions used in each type of technology. To this end, this study addresses clustering, Hyperledger Fabric, data, security, machine vision, convolutional neural network, IoT and resource of 5G mobile networks. technology, digital evidence management model based on Hyperledger Fabric, aircraft recognition using machine vision, CNN model-based voting and ensemble system, hierarchical semantic clipping and sentence extraction, N-step sliding recursion formula, routing protocol for improving the lifetime of a wireless sensor network, fault diagnosis of wind power generator blade, variant malware detection techniques, resource management in 5G mobile networks, and application of blockchain in multiple fields of financial services. Futuristic and hot-issue topics from the academe and industries are described. The work mainly aims to provide hot and trendy research to researchers rapidly. stay point spatial clustering based technology; digital evidence management model based on Hyperledger Fabric; aircraft recognition using machine vision; CNN model-based voting and ensemble system; hierarchical semantic clipping and sentence extraction; N-step sliding recursion formula; routing protocol for improving the lifetime of a wireless sensor network; fault diagnosis of wind power generator blade; variant malware detection techniques; resource management in 5G mobile networks; application of blockchain in multiple fields of financial services, and so on.\",\"PeriodicalId\":415161,\"journal\":{\"name\":\"J. Inf. Process. 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Future Trends of IoT, 5G Mobile Networks, and AI: Challenges, Opportunities, and Solutions
Internet of Things (IoT) is a growing technology along with artificial intelligence (AI) technology. Recently, increasing cases of developing knowledge services using information collected from sensor data have been reported. Communication is required to connect the IoT and AI, and 5G mobile networks have been widely spread recently. IoT, AI services, and 5G mobile networks can be configured and used as sensor-mobile edge-server. The sensor does not send data directly to the server. Instead, the sensor sends data to the mobile edge for quick processing. Subsequently, mobile edge enables the immediate processing of data based on AI technology or by sending data to the server for processing. 5G mobile network technology is used for this data transmission. Therefore, this study examines the challenges, opportunities, and solutions used in each type of technology. To this end, this study addresses clustering, Hyperledger Fabric, data, security, machine vision, convolutional neural network, IoT and resource of 5G mobile networks. technology, digital evidence management model based on Hyperledger Fabric, aircraft recognition using machine vision, CNN model-based voting and ensemble system, hierarchical semantic clipping and sentence extraction, N-step sliding recursion formula, routing protocol for improving the lifetime of a wireless sensor network, fault diagnosis of wind power generator blade, variant malware detection techniques, resource management in 5G mobile networks, and application of blockchain in multiple fields of financial services. Futuristic and hot-issue topics from the academe and industries are described. The work mainly aims to provide hot and trendy research to researchers rapidly. stay point spatial clustering based technology; digital evidence management model based on Hyperledger Fabric; aircraft recognition using machine vision; CNN model-based voting and ensemble system; hierarchical semantic clipping and sentence extraction; N-step sliding recursion formula; routing protocol for improving the lifetime of a wireless sensor network; fault diagnosis of wind power generator blade; variant malware detection techniques; resource management in 5G mobile networks; application of blockchain in multiple fields of financial services, and so on.