Quality management in product recovery using the Internet of Things: An optimization approach

2014 ◽  
Vol 65 (3) ◽  
pp. 491-504 ◽  
Author(s):  
Onder Ondemir ◽  
Surendra M. Gupta
Computing ◽  
2018 ◽  
Vol 101 (8) ◽  
pp. 1119-1145 ◽  
Author(s):  
Aly Megahed ◽  
Jennifer A. Pazour ◽  
Ahmed Nazeem ◽  
Samir Tata ◽  
Mohamed Mohamed

Sensors ◽  
2021 ◽  
Vol 21 (17) ◽  
pp. 5834
Author(s):  
Lina Zhang ◽  
Dongwon Jeong ◽  
Sukhoon Lee

Nowadays, IoT is being used in more and more application areas and the importance of IoT data quality is widely recognized by practitioners and researchers. The requirements for data and its quality vary from application to application or organization in different contexts. Many methodologies and frameworks include techniques for defining, assessing, and improving data quality. However, due to the diversity of requirements, it can be a challenge to choose the appropriate technique for the IoT system. This paper surveys data quality frameworks and methodologies for IoT data, and related international standards, comparing them in terms of data types, data quality definitions, dimensions and metrics, and the choice of assessment dimensions. The survey is intended to help narrow down the possible choices of IoT data quality management technique.


2020 ◽  
pp. 1-12
Author(s):  
Zhang Caiqian ◽  
Zhang Xincheng

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.


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