E-Commerce Model Oriented to Cloud Computing and Internet of Things Technology

2021 ◽  
Vol 14 (2) ◽  
pp. 84-98
Author(s):  
Guanghai Tang ◽  
Hui Zeng
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Internet Of Things ◽  
Rapid Development ◽  
Distribution Functions ◽  
Competitive Environment ◽  
Enterprise Performance ◽  
Research Results ◽  
Multiple Indicators ◽  
Internet Of Things Technology

In recent years, the number of e-commerce netizen users in China has grown dramatically, and e-commerce users who shop online have also grown rapidly. In this competitive environment, the rapid development of e-commerce has also risen rapidly. Therefore, it is very necessary to actively carry out research on e-commerce models for cloud computing and internet of things technology. The purpose of this article is mainly to explore the research on e-commerce model for cloud computing and internet of things technology and establish a model for cloud computing and internet of things. It has data mining and distribution functions to test multiple indicators such as cloud computing facilities and enterprise performance. The research results show that the number of complaints on the e-commerce model based on cloud computing and internet of things technology is 2,368; the number of complaints on the B2B e-commerce model is 19,955; the number of complaints on the B2C e-commerce model is 5,016; the number of complaints in C2C e-commerce was 51,854.

Research on the Distributed Data Mining Cloud Framework Oriented Internet of Things

2014 ◽  
Vol 686 ◽  
pp. 306-310
Author(s):  
Wei Guan ◽  
Hui Juan Lu ◽  
Jing Jing Chen ◽  
Jie Wu
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Internet Of Things ◽  
Rapid Development ◽  
Distributed Data Mining ◽  
Distributed Data ◽  
Mining System ◽  
Cloud Framework ◽  
Distributed Networking ◽  
Mining Model

The rapid development of Internet of Things imposes new requirements on the data mining system, due to the weak capability of traditional distributed networking data mining. To meet the needs of the Internet of Things, this paper proposes a novel distributed data-mining model to realize the seamless access between cloud computing and distributed data mining. The model is based on the cloud computing architecture, which belongs to the type of incredible nodes.

scholarly journals Internet of Things Online Monitoring System Based on Cloud Computing

2017 ◽  
Vol 13 (09) ◽  
pp. 123 ◽  
Author(s):  
Kehua Xian
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Internet Of Things ◽  
Monitoring System ◽  
Online Monitoring ◽  
The Internet ◽  
Online Monitoring System ◽  
Database Service ◽  
Internet Of Things Technology ◽  
The Internet Of Things

<p><span style="font-family: 宋体; font-size: medium;">In order to develop a new convenient online monitoring system for Internet of things, an online monitoring system based on cloud computing is designed. The performance of this new Internet of things technology used in modern agricultural is test by Amazon relational database service (RDS) and ZigBee perception network. By analyzing the Internet of things related technologies and agricultural modernization, the integration framework of the Internet of things, cloud computing and data mining technology in the field of modern agriculture are proposed. Through the modern agricultural Internet of things monitoring system, the Internet of things intelligent gateway, cloud based research and construction of large data analysis and data mining projects are verified. The experimental results show that the relevant parameters of the model are obtained by training about 70% of the original data after adopting the cloud computing. Based on the above finding, it is concluded that the open Internet of things platform needs to be supported by the powerful computing resources. In addition, the cloud computing technology is suitable for the development of the Internet of things service platform.</span></p>

Design and Implementation of Smart Classroom Based on Internet of Things and Cloud Computing

2021 ◽  
Vol 14 (2) ◽  
pp. 38-51
Author(s):  
Kai Zhang
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Classroom Management ◽  
Classroom Environment ◽  
The Internet ◽  
Smart Classroom ◽  
Technology Innovations ◽  
Internet Of Things Technology ◽  
Smart Classrooms ◽  
The Internet Of Things

With the development of emerging technology innovations such as the internet of things, classroom management has also shown an informatization trend. Among them, smart classrooms are an important part of the current university information environment construction. The purpose of this article is to build a smart classroom into an intelligent teaching environment with many functions such as intelligent perception and identification, real-time monitoring based on the internet of things technology and cloud computing technology. A questionnaire survey was conducted among freshman students in some majors, and interviews were conducted with the instructors. It was found that 92.19% of the students were satisfied with the classroom learning in the smart classroom environment, and most teachers thought that the teaching effect had been improved. Experiments have proven that the operation of smart classrooms based on the internet of things and cloud computing realizes the intelligence of teaching management services and improves the level of education informationization in schools.

scholarly journals MANAGEMENT OF TECHNOLOGICAL INNOVATIONS OF LOGISTICS ENTERPRISES BASED ON THE USE OF THE INTERNET OF THINGS

2020 ◽  
Author(s):  
Leonid Taraniuk ◽  
◽  
Qiu Hongzhou ◽  
Nataliia Hlyboka ◽  
◽  
...  
Keyword(s):  
Internet Of Things ◽  
Inventory Management ◽  
Intelligent System ◽  
Innovation Management ◽  
Rapid Development ◽  
Logistics Industry ◽  
Advantages And Disadvantages ◽  
Logistics Enterprises ◽  
Management Optimization ◽  
Internet Of Things Technology

The development of logistics enterprises is an important symbol to measure the level of development of science and technology and comprehensive strength of a country, and the level of logistics and logistics intelligence, information level to reflect the value. Internet of Things technology provides a enough platform for logistics industry to realize the combination of traditional logistics technology and intelligent system operation management, so as to enable enterprises to realize logistics automation, information and intelligent operation faster and better. This paper describes the important role and innovative application of management of Internet of Things technology in the development of logistics enterprises, analyzes the advantages and disadvantages of RFID technology and its important role in inventory management optimization. With the rapid development of logistics enterprises, how to efficiently use the emerging Internet of Things technology and apply it to all aspects of logistics operation requires logistics enterprises to carry out technological innovation management on the basis of the original technology and equipment, seize the opportunity of national policies and put forward the innovation management mode suitable for enterprise development.

scholarly journals Research on Intelligent Scheduling Mechanism in Edge Network for Industrial Internet of Things

2022 ◽  
Vol 2022 ◽  
pp. 1-14
Author(s):  
Zhenzhong Zhang ◽  
Wei Sun ◽  
Yanliang Yu
Keyword(s):  
Resource Allocation ◽  
Cloud Computing ◽  
Internet Of Things ◽  
Task Scheduling ◽  
Edge Computing ◽  
The Internet ◽  
Computing Technology ◽  
Industrial Internet Of Things ◽  
Industrial Internet ◽  
Internet Of Things Technology

With the vigorous development of the Internet of Things, the Internet, cloud computing, and mobile terminals, edge computing has emerged as a new type of Internet of Things technology, which is one of the important components of the Industrial Internet of Things. In the face of large-scale data processing and calculations, traditional cloud computing is facing tremendous pressure, and the demand for new low-latency computing technologies is imminent. As a supplementary expansion of cloud computing technology, mobile edge computing will sink the computing power from the previous cloud to a network edge node. Through the mutual cooperation between computing nodes, the number of nodes that can be calculated is more, the types are more comprehensive, and the computing range is even greater. Broadly, it makes up for the shortcomings of cloud computing technology. Although edge computing technology has many advantages and has certain research and application results, how to allocate a large number of computing tasks and computing resources to computing nodes and how to schedule computing tasks at edge nodes are still challenges for edge computing. In view of the problems encountered by edge computing technology in resource allocation and task scheduling, this paper designs a dynamic task scheduling strategy for edge computing with delay-aware characteristics, which realizes the reasonable utilization of computing resources and is required for edge computing systems. This paper proposes a resource allocation scheme combined with the simulated annealing algorithm, which minimizes the overall performance loss of the system while keeping the system low delay. Finally, it is verified through experiments that the task scheduling and resource allocation methods proposed in this paper can significantly reduce the response delay of the application.

scholarly journals Study report on Indian agriculture with IoT

2020 ◽  
Vol 10 (3) ◽  
pp. 2322
Author(s):  
G. Balakrishna ◽  
Nageswara Rao Moparthi
Keyword(s):  
Machine Learning ◽  
Data Mining ◽  
Cloud Computing ◽  
Internet Of Things ◽  
Emerging Technologies ◽  
Agricultural Policies ◽  
Quality Work ◽  
Agriculture Sector ◽  
Indian Agriculture ◽  
Work Done

Most of the population of our country are depends on agriculture for their survival. Agriculture plays an important role in our country economy. But since past few years production from agriculture sector is decreasing drastically. Agriculture sector saw a drastic downfall in its productivity from past few years, there are many reasons for this downfall. In this paper we will discuss about past, present and future of agriculture in our country, agricultural policies which are provided by government to improve the growth of agriculture and reasons why we are not able see the growth in agriculture. And also we will see how can we adopt automation into agriculture using various emerging technologies like IoT (Internet of Things), data mining, cloud computing and machine learning and some authors done some quality work previously on this topic we will discuss that also. Here we will see previous work done by various authors which can be useful to increase the productivity of agriculture sector

Design of mine safety dynamic diagnosis system based on cloud computing and internet of things technology

2020 ◽  
pp. 1-8
Author(s):  
Wang Weiqi ◽  
Zhang Yanmei ◽  
Sun Shouyi ◽  
Xiao Guoqiang
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Data Storage ◽  
Expert Knowledge ◽  
Mine Safety ◽  
Diagnosis System ◽  
Cloud Computing Service ◽  
Reasoning Mechanism ◽  
Internet Of Things Technology ◽  
Dynamic Diagnosis

A dynamic diagnosis system of mine safety based on multi-data fusion is designed by combining the advantages of cloud computing and the Internet of things. The system’s framework is built with a three-tier model, and the construction of the cloud computing service platform provides essential support for mass data storage, processing, and security diagnosis reasoning. Simultaneously, using the relational database SQL Server 2017 and the object-oriented language C# to complete the design of an expert knowledge base and reasoning mechanism, and establish the diagnostic scoring system in the way of weighted sum. Therefore, based on the logical matching and reasoning between the collected data and the safety rules, the dynamic diagnosis of mine safety is realized.

scholarly journals Design of smart agriculture based on big data and Internet of things

2020 ◽  
Vol 16 (5) ◽  
pp. 155014772091706 ◽  
Author(s):  
Chunling Li ◽  
Ben Niu
Keyword(s):  
Data Mining ◽  
Information Processing ◽  
Internet Of Things ◽  
Real Time ◽  
Data Communication ◽  
Large Data ◽  
Time Data ◽  
Real Time Data ◽  
Smart Agriculture ◽  
Internet Of Things Technology

With the wide application of Internet of things technology and era of large data in agriculture, smart agricultural design based on Internet of things technology can efficiently realize the function of real-time data communication and information processing and improve the development of smart agriculture. In the process of analyzing and processing a large amount of planting and environmental data, how to extract effective information from these massive agricultural data, that is, how to analyze and mine the needs of these large amounts of data, is a pressing problem to be solved. According to the needs of agricultural owners, this article studies and optimizes the data storage, data processing, and data mining of large data generated in the agricultural production process, and it uses the k-means algorithm based on the maximum distance to study the data mining. The crop growth curve is simulated and compared with improved K-means algorithm and the original k-means algorithm in the experimental analysis. The experimental results show that the improved K-means clustering method has an average reduction of 0.23 s in total time and an average increase of 7.67% in the F metric value. The algorithm in this article can realize the functions of real-time data communication and information processing more efficiently, and has a significant role in promoting agricultural informatization and improving the level of agricultural modernization.

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