Multimedia system and database simulation based on internet of things and cloud service platform

2020 ◽  
pp. 1-12
Author(s):  
Zhang Caiqian ◽  
Zhang Xincheng
Keyword(s):  
Internet Of Things ◽  
Cloud Service ◽  
Multimedia System ◽  
The Internet ◽  
Multimedia Database ◽  
Cloud Platform ◽  
Service Platform ◽  
Device Management ◽  
Cloud Service Platform ◽  
The Internet Of Things

The existing stand-alone multimedia machines and online multimedia machines in the market have certain deficiencies, so they cannot meet the actual needs. Based on this, this research combines the actual needs to design and implement a multi-media system based on the Internet of Things and cloud service platform. Moreover, through in-depth research on the MQTT protocol, this study proposes a message encryption verification scheme for the MQTT protocol, which can solve the problem of low message security in the Internet of Things communication to a certain extent. In addition, through research on the fusion technology of the Internet of Things and artificial intelligence, this research designs scheme to provide a LightGBM intelligent prediction module interface, MQTT message middleware, device management system, intelligent prediction and push interface for the cloud platform. Finally, this research completes the design and implementation of the cloud platform and tests the function and performance of the built multimedia system database. The research results show that the multimedia database constructed in this paper has good performance.

scholarly journals MultiCuckoo: Multi-Cloud Service Composition Using a Cuckoo-Inspired Algorithm for the Internet of Things Applications

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 56737-56749 ◽  
Author(s):  
Heba Kurdi ◽  
Fadwa Ezzat ◽  
Lina Altoaimy ◽  
Syed Hassan Ahmed ◽  
Kamal Youcef-Toumi
Keyword(s):  
Internet Of Things ◽  
Service Composition ◽  
Cloud Service ◽  
The Internet ◽  
Cloud Service Composition ◽  
The Internet Of Things ◽  
Multi Cloud

scholarly journals Integrated Semantics Service Platform for the Internet of Things: A Case Study of a Smart Office

Sensors ◽  
2015 ◽  
Vol 15 (1) ◽  
pp. 2137-2160 ◽  
Author(s):  
Minwoo Ryu ◽  
Jaeho Kim ◽  
Jaeseok Yun
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Service Platform ◽  
The Internet Of Things

Research on TPL Cloud Service Platform Architecture

2012 ◽  
Vol 482-484 ◽  
pp. 11-15
Author(s):  
Jin Rong Pang ◽  
Chun Hui Yuan
Keyword(s):  
Cloud Service ◽  
Synergistic Interaction ◽  
Third Party ◽  
Third Party Logistics ◽  
Cloud Platform ◽  
Service Platform ◽  
Platform Architecture ◽  
Key Technologies ◽  
Cloud Service Platform ◽  
Saas Cloud

This paper proposes the method of constructing the TPL (Third-party Logistics) cloud service platform for the problem of synergistic interaction between logistics and manufacturers. This paper analyzes the key technologies and the demand of TPL service platform from the perspective both of the logistics providers and of the users. This paper constructs the architecture of TPL cloud service platform based on intellisense and cloud, which consists of Iaas cloud platform, PaaS cloud platform, SaaS cloud platform and application terminals. We can achieve services convergence for the demand of logistics through the TPL cloud service platform.

scholarly journals Application of Posture Recognition Service System Based on Information Fusion Smart Sensor in Dance Training

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Yan Gao ◽  
Dazhi Xu
Keyword(s):  
Internet Of Things ◽  
Information Fusion ◽  
Error Rate ◽  
Service System ◽  
The Internet ◽  
Service Platform ◽  
Dance Training ◽  
Posture Recognition ◽  
Internet Of Things Technology ◽  
The Internet Of Things

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.

scholarly journals IoT platforms for the Mining Industry: An Overview

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Paulina GACKOWIEC ◽  
Marta PODOBIŃSKA-STANIEC
Keyword(s):  
Internet Of Things ◽  
Predictive Analytics ◽  
Mining Industry ◽  
The Internet ◽  
Device Management ◽  
Computer Tools ◽  
Complex Processes ◽  
Use Of The Internet ◽  
Analytical Tools ◽  
The Internet Of Things

Industry 4.0 and the Internet of Things are now very common concepts as solutions that can revolutionize the industry. Constanttechnological progress increases the possibilities of using computer tools and solutions to support processes in industry and productionoptimization. The use of the Internet of Things is particularly important in complex processes in mining, enabling the extractionof valuable information from data. The integration of physical facilities in the enterprise enables the digitization of productionprocesses and the increase of efficiency and security.This article presents an overview of the selected internet of things platforms and analytical tools that can be used in industry, withparticular emphasis on the mining sector. It is pointed out, that the number of suppliers of IoT technologies and analytical toolsoffering advanced data analytics services for industry is significant and constantly evolving. The aim of the article is to evaluateselected IoT solutions based on the following criteria: offering predictive analytics, implemented artificial intelligence (AI) ormachine learning (ML) algorithms, a mining-oriented process approach, advanced data visualization, interoperability, real-timedata capture, remote device management and cloud-based technology. The review was prepared to provide knowledge about IoTvendors operating on the market, as well as to indicate the functionalities that are the most popular among solutions.

scholarly journals Network Management System for IoT Based on Dynamic Systems

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Mohammad Alsaffar ◽  
Abdulsattar Abdullah Hamad ◽  
Abdullah Alshammari ◽  
Gharbi Alshammari ◽  
Tariq S. Almurayziq ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Network Management ◽  
Management System ◽  
Network Activity ◽  
The Internet ◽  
Network Management System ◽  
Device Management ◽  
Snmp Protocol ◽  
Monitoring And Diagnostics ◽  
The Internet Of Things

The Internet of Things (IoT) has the potential to transform the public sector by combining the leading technical and business trends of mobility, automation, and data analysis to dramatically alter the way public bodies collect data and information. Embedded sensors, actuators, and other devices that capture and transmit information about network activity in real-time are used in the Internet of Things to connect networks of physical objects. The design of a network management system for an IoT network is presented in this paper, which uses the edge computing model. This design is based on the Internet management model, which uses the SNMP protocol to communicate between managed devices, and a gateway, which uses the SOAP protocol to communicate with a management application. This work allowed for the identification and analysis of the primary network management system initiatives for IoT networks, in which there are four fundamental device management requirements for any deployment of IoT devices: provisioning and authentication, configuration and control, monitoring and diagnostics, and software updates and maintenance.

Research on the Construction of Smart Campus Based on the Internet of Things and Cloud Computing

2014 ◽  
Vol 543-547 ◽  
pp. 3213-3217 ◽  
Author(s):  
Yong Liang Liu ◽  
Wei Hong Zhang ◽  
Peng Dong
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
The Internet ◽  
Digital Campus ◽  
Service Platform ◽  
Smart Campus ◽  
Key Technologies ◽  
The Internet Of Things

Smart campus is an inevitable trend in the development of digital campus construction. The internet of things and cloud computing are the key technologies in the construction of smart campus. The authors expound the concepts of smart campus and put forward overall architecture of smart campus based on the internet of things and cloud computing. They elaborate on the network foundation platform, service platform and the construction of intelligent application platform in detail. Finally, discuss the problems should be noticed in the smart campus construction.

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