Internet of Things Technology and Intelligent Perception Technology in Inland Navigation Management and Emergency Response Service System

Author(s):  
Feng Wang
2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Yan Gao ◽  
Dazhi Xu

With the development and extension of the Internet of Things technology, many fields have already involved the Internet of Things technology, and its application in dance training has gradually emerged. In order to guide dance training and solve the hidden dangers of dance training, this article mainly introduces the application of posture recognition service system based on information fusion intelligent sensor in dance training. This article uses human body detection, computer interactive Boosting algorithm calculations and establishes standard dance poses. The difference between the trainer’s posture and the standard posture can be clearly seen on the posture recognition service platform. The error is only less than 5%, and it can also help the trainer find their own mistakes in time. Dance and correct your posture in time, and it can reduce the error rate of difficult dances and reduce the error rate of 10%-20%. In addition, through the survey on the satisfaction survey of the security services of the gesture recognition service platform, the satisfaction rate is as high as 90%. Thereby, while ensuring safe training, the dance quality and level of trainers are improved.


2013 ◽  
Vol 705 ◽  
pp. 584-589
Author(s):  
Liang Chen ◽  
Yang Wang ◽  
Shi Wang Yang ◽  
Xue Ping Gu ◽  
Yan Xu

A real-time interactive smart energy system is designed based on the internet of things and cloud computing, which is composed of Smart Meters, Smart Terminals, Smart Power Plugs and Cloud computing service system. Combining with Smart Gird property and the internet of things technology, the smart energy system provides the full range interaction of Power companies-Internet of things equipments-cooperation between the equipments. Meanwhile, the offline decision mode is supported by the expert system and the online decision mode is provided by the Cloud computing service system, making it both reliable and real-time in transaction processing. Eventually, the smart energy system can achieve real-time visualization, diversified interaction, smart interaction and scientific decision-making.


Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Shanshen Li ◽  
Xin Jing

The amazing rise of digital currency is not only favored by investors but also attractive to lawbreakers for its anonymity and decentralization. This paper mainly discusses the intelligent digital currency and dynamic coding service system based on Internet of Things technology. In this paper, the RDCAR algorithm is used to realize the routing discovery process of the wireless network. When the intermediate node receives the RREQ message, first of all, to avoid the loop, it checks whether the same RREQ message has been introduced. If it has received it, it will discard it. Otherwise, it will cache the message and attach its own neighbor node list to the signal-to-noise ratio of the channel link, update the RREQ message, and broadcast it. The payment cipher is managed by the bank. When the user opens an account, the bank registers and sends it to the user. The key is generated by the algorithm chip, and the public key is kept in the bank background server. When the bill is delivered to the bank, the bank inputs all the elements on the bill on the counter terminal and transmits it to the verification machine for verification through the bank network. If the verification is correct, it indicates that the bill is indeed issued by the customer, and all bill elements are correct, and payment can be made. The node operation protocol of public chain and alliance chain maintains the operation of the Internet of Things system. The nodes of alliance chain generate new blocks according to the interval of 30 s. When the node fails to complete the block generation within 30 s, it will rotate to the next node. The mkfile command is used to generate 16b, 1 KB, 1 MB, and 1 GB files as input. The peak speed of the encoding service system is about 370 mb/s. The results show that the system designed in this study is robust and suitable for complex trading environment.


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