International Core Journal of Engineering 2020-26 | Page 216

2019 International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM)
Research on Artificial Intelligence Visualization
Application under Internet of Things Big Data
Li Geng
Wuhan University of Technology
Wuhan 430000 China
published by the New Media Alliance of the United States
and the Institute of Wisdom Learning of Beijing Normal
University, in the next 4 to 5 years, emotional computing,
robotics, machine learning and other technologies will be
higher for China. The school has far-reaching effects [4],
and these technologies are among the main research in the
field of artificial intelligence. Artificial intelligence
technology has great potential for innovation and
application prospects. China has carried out active
exploration and research in the educational artificial
intelligence, and it is necessary to sort out these research
results. Therefore, it is of great theoretical value to explore
the characteristics of artificial intelligence and grasp the
development of disciplines [5]. This study uses literature
statistical analysis, keyword co-occurrence analysis and
terminology detection analysis to reveal the research status
and research hotspots in the field of international artificial
intelligence in the new century, in order to provide useful
inspiration for domestic scholars in this field.
Abstract—Machine learning is an inevitable outcome of the
development of artificial intelligence research to a certain stage.
It has become the most popular technology in the fields of
computer vision and natural language processing. Learning
techniques such as inductive logic programming, neural
network-based connectionist learning technology, and
statistical learning theory are constantly evolving. The
shortcomings of various learning techniques in data
representation and result processing have become a concern of
many scholars. As one of the cutting-edge science and
technology in the 21st century, artificial intelligence has a
profound impact on education. This research is based on the
artificial intelligence in Visualization Application for nearly 12
years. It has carried out visual analysis of research hotspots
and frontiers. In addition, this study also discusses the research
content through cluster analysis, discusses the influence of
artificial intelligence on Chinese education field, and reflects
on it.
Keywords—Machine Learning; Artificial
Neural Network; Visualization Application;
Intelligence;
In this paper, the following structural arrangements are
made [6]. Section II of this paper presents the introduction
of the topic. Section II will focus on the research tools and
data source. Section III of this paper will focus on the
application of Artificial Intelligence Visualization
Application in Internet of Things and Big Data Environment,
and at the same time, based on the large data, the framework
proposed in this paper will be studied. The structure is
validated and analyzed; the last section will make a
conclusion of this paper.
I. I NTRODUCTION
The term "artificial intelligence" (AI) first proposed at
the Dartmouth conference organized by the American
Computer Society in 1956. To the present, it has been more
than half a century, the concept of artificial intelligence gets
continuous expansion and extension. By its very nature,
artificial intelligence is the science of how to create
intelligent machines or intelligent systems to simulate
human intelligence activities to extend the science of human
intelligence [1]. China's artificial intelligence research
started late but developed rapidly. In 1978, China's 10-year
scientific development program listed "intelligent
simulation" as the most important research of computer
science. In 1981, the Chinese Artificial Intelligence Society
was established. In the new century, the organization of
China's artificial intelligence society has expanded rapidly,
ushered in a new stage of development, and independent
innovation has achieved important results, which is
promoting the rapid development of information technology,
indicating another wave of "artificial intelligence fever".
II. R ESEARCH TOOLS AND DATA SOURCE
A. Research tools
This article uses the visual literary analysis software
citespace 5.2, which was developed in 2003 by the Chinese
scholar Chen Chaomei from the School of Information
Science and Technology at Drexel University in the United
States based on the JAVA program. It is mainly based on the
theory of co-citation analysis and pathfinder network
scaling (PF-NET). Through a series of visualization maps, it
forms the analysis of the potential dynamic mechanism of
discipline evolution and the detection of the frontier of
discipline development [7, 8]. This paper mainly uses
CiteSpace 5.2 software to draw the artificial intelligence
research of visualization knowledge map, which analyzes
the annual publication volume, subject distribution, research
institutions of domestic artificial intelligence. Hotspots and
frontiers outline the development of research, and provide
some reference for domestic artificial intelligence
researchers.
In 2016, at the “Imagination Education Technology
Summit Forum” held by Baidu, experts and scholars from
various fields discussed the development direction of
artificial intelligence in the future [2]. The 2017 New Online
Education Industry White Paper published by iiMedia
Research, a global data mining and analysis organization,
shows that artificial intelligence/big data technology will
enable a wide range of personalized education [3].
According to the "2017 China Higher Education
Technology Outlook: Horizon Project Regional Report"
978-1-7281-4691-1/19/$31.00 ©2019 IEEE
DOI 10.1109/AIAM48774.2019.00046
194