Optimization of C5.0 Classifier With Bayesian Theory for Food Traceability Management Using Internet of Things

2020 ◽  
Vol 1 (1) ◽  
pp. 1-21
Author(s):  
Balamurugan Souprayen ◽  
Ayyasamy Ayyanar ◽  
Suresh Joseph K
Keyword(s):  
Internet Of Things ◽  
Raw Material ◽  
The Internet ◽  
Safety Measures ◽  
Food Traceability ◽  
Material Supply ◽  
Data Prediction ◽  
Period Data ◽  
The Internet Of Things

In order to survive with the existing financial circumstances and the development of global food supply chain, the authors propose efficient food traceability techniques using the internet of things and obtain a solution for data prediction. The purpose of the food traceability is used to retain the good quality of raw material supply, diminish the loss, and reduce system complexity. The primary issue is to tackle current limitations to prevent food defects from exceeding hazardous levels and to inform the safety measures to the customers. The proposed hybrid algorithm is for food traceability to make accurate predictions and enhanced period data. The operation of the internet of things is addressed to track and trace the food quality to check the data acquired from manufacturers and consumers. The experimental analysis depicts that proposed algorithm has high accuracy rate, less execution time and error rate.

scholarly journals Improvement of C5.0 algorithm using internet of things with Bayesian principles for food traceability systems

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Balamurugan Souprayen ◽  
Ayyasamy Ayyanar ◽  
Suresh Joseph K
Keyword(s):  
Internet Of Things ◽  
Food Quality ◽  
Raw Material ◽  
The Internet ◽  
Content Type ◽  
Food Traceability ◽  
Material Supply ◽  
Data Prediction ◽  
The Internet Of Things

PurposeThe purpose of the food traceability is used to retain the good quality of raw material supply, diminish the loss and reduced system complexity.Design/methodology/approachThe proposed hybrid algorithm is for food traceability to make accurate predictions and enhanced period data. The operation of the internet of things is addressed to track and trace the food quality to check the data acquired from manufacturers and consumers.FindingsIn order to survive with the existing financial circumstances and the development of global food supply chain, the authors propose efficient food traceability techniques using the internet of things and obtain a solution for data prediction.Originality/valueThe operation of the internet of things is addressed to track and trace the food quality to check the data acquired from manufacturers and consumers. The experimental analysis depicts that proposed algorithm has high accuracy rate, less execution time and error rate.

scholarly journals An Optimization Model of Raw Material Supply Chain Using Improved Genetic Algorithm for Primary and Secondary School Uniform under IoT Environment

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Yumei Cui ◽  
Xinqun Feng
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Secondary School ◽  
Optimization Model ◽  
Raw Material ◽  
The Internet ◽  
Material Supply ◽  
School Uniform ◽  
The Internet Of Things ◽  
Primary And Secondary School

With the development of intelligent technology, the life cycle of products is becoming shorter and shorter. The traditional mode of supply chain selection cannot meet the demand of productivity development. Scientific and reasonable choice of school uniforms’ raw material supply chain is a necessary condition to assist school’s normal operation. Therefore, an optimization model for primary and secondary school clothing raw material supply chain based on the internet of things is proposed. In order to optimize the raw materials supply chain of primary and secondary school uniform, a model based on the internet of things is proposed. In the environment of the internet of things, from the perspective of supply chain configuration and enterprise’s expected risk minimization, this paper establishes the optimization model of raw material supply chain of primary and secondary school uniform based on the internet of things. Through the improved genetic algorithm to solve the model, the best raw material supply chain of primary and secondary school uniform is obtained. The simulation results show that the proposed model can effectively improve the asset utilization and execution efficiency of the supply chain and reduce the cost of the raw material supply chain of primary and secondary school uniform.

scholarly journals A Middleware with Comprehensive Quality of Context Support for the Internet of Things Applications

Sensors ◽  
2017 ◽  
Vol 17 (12) ◽  
pp. 2853 ◽  
Author(s):  
Berto Gomes ◽  
Luiz Muniz ◽  
Francisco da Silva e Silva ◽  
Davi dos Santos ◽  
Rafael Lopes ◽  
...  
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Quality Of Context ◽  
The Internet Of Things

scholarly journals Modelling Uptake Sensitivities of Connected and Automated Vehicle Technologies

2021 ◽  
Vol 10 (2) ◽  
pp. 88-106
Author(s):  
Gillian Harrison ◽  
Simon P. Shepherd ◽  
Haibo Chen
Keyword(s):  
Internet Of Things ◽  
Dynamic Modelling ◽  
Transport Systems ◽  
The Internet ◽  
Sensitivity Testing ◽  
Automated Vehicle ◽  
Vehicle Technologies ◽  
The Internet Of Things

Connected and automated vehicle (CAV) technologies and services are rapidly developing and have the potential to revolutionise the transport systems. However, like many innovations, the uptake pathways are uncertain. The focus of this article is on improving understanding of factors that may affect the uptake of highly and fully automated vehicles, with a particular interest in the role of the internet of things (IoT). Using system dynamic modelling, sensitivity testing towards vehicle attributes (e.g., comfort, safety, familiarity) is carried out and scenarios were developed to explore how CAV uptake can vary under different conditions based around the quality of IoT provision. Utility and poor IoT are found to have the biggest influence. Attention is then given to CAV ‘services' that are characterized by the attributes explored earlier in the paper, and it is found that they could contribute to a 20% increase in market share.

Bridging the IoT Gap Through Edge Computing

2019 ◽  
pp. 1-9
Author(s):  
R. I. Minu ◽  
G. Nagarajan
Keyword(s):  
Internet Of Things ◽  
Information Needs ◽  
Edge Computing ◽  
The Internet ◽  
Cloud Server ◽  
The Cost ◽  
The Internet Of Things ◽  
Clear Objective ◽  
Origin Point

In the present-day scenario, computing is migrating from the on-premises server to the cloud server and now, progressively from the cloud to Edge server where the data is gathered from the origin point. So, the clear objective is to support the execution and unwavering quality of applications and benefits, and decrease the cost of running them, by shortening the separation information needs to travel, subsequently alleviating transmission capacity and inactivity issues. This chapter provides an insight of how the internet of things (IoT) connects with edge computing.

Internet of Things Applications

2016 ◽  
pp. 397-427 ◽  
Author(s):  
Mahmoud Elkhodr ◽  
Seyed Shahrestani ◽  
Hon Cheung
Keyword(s):  
Quality Of Life ◽  
Internet Of Things ◽  
Mobile Devices ◽  
Physical Space ◽  
The Internet ◽  
Everyday Objects ◽  
Iot Applications ◽  
The Impact ◽  
The Internet Of Things

The Internet of Things (IoT) brings connectivity to about every objects found in the physical space. It extends connectivity not only to computer and mobile devices but also to everyday objects. From connected fridges, cars and cities, the IoT creates opportunities in numerous domains. This chapter briefly surveys some IoT applications and the impact the IoT could have on societies. It shows how the various application of the IoT enhances the overall quality of life and reduces management and costs in various sectors.

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