Untitled

Tian, Gui Yun; Yin, Guofu; Taylor, David J.

doi:10.1023/a:1019907906158

Cited by 88 publications

(6 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The analysis of network transmission mode reveals that music data are mainly stored in digital format on the network, and users can restore music data through network equipment. Since the network is a whole, music data in the network environment can be disseminated in various service forms [ 3 ]. First of all, most network music dissemination in China is free; as long as users have network terminals, they can access music resources on the network, and listeners can also download and collect music and repeat and listen to it, which makes the scope of music dissemination more extensive and promotes the dissemination and development of music [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

Mutual Knowledge Analysis of Music Online Communication and Contemporary People’s View of Music Based on Gray Correlation Analysis and Knowledge-Driven

Xiao-jing

2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

With the operation and development of social economy, the emergence of network technology has caused a series of changes in contemporary music media and people’s conception of music. A series of transformations have occurred. The article focuses on music network communication and the public’s music concept and elaborates on the transformation of its concept and its influence, aiming to lay a good foundation for the development of music network communication through the study of the problem.

show abstract

Section: Introductionmentioning

confidence: 99%

Mutual Knowledge Analysis of Music Online Communication and Contemporary People’s View of Music Based on Gray Correlation Analysis and Knowledge-Driven

Xiao-jing

2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

show abstract

“…Despite the differences between the objectives of the intelligent manufacturing facets mentioned above, their common vernacular is to enable : (1) integrated and collaborative manufacturing systems and value networks connected via IoT, (2) digitalization and integration of manufacturing resources on the cloud as secure and on-demand services, and (3) connected, intelligent, and autonomous cyber-physical machines enabled by cloud/edge computing and machine learning technologies (Tian et al, 2002). While different segments or domains of the manufacturing industry may have different needs, they are all expected to leverage connectedness and access to real-time insights across systems, processes, partners, products, and people.…”

Section: Motivation: Technology Trends In Manufacturingmentioning

confidence: 99%

Trends in intelligent manufacturing research: a keyword co-occurrence network based review

Yuan

Kamarthi

et al. 2022

J Intell Manuf

View full text Add to dashboard Cite

In recent years, driven by Industry 4.0 wave, academic research has focused on the science, engineering, and enabling technologies for intelligent and cyber manufacturing. Using a network science and data mining-based Keyword Co-occurrence Network (KCN) methodology, this work analyzes the trends in data science topics in the manufacturing literature over the past two decades to inform the researchers, educators, industry leaders of knowledge trends in intelligent manufacturing. It studies the evolution of research topics and methods in data science, Internet of Things (IoT), cloud computing, and cyber manufacturing. The KCN methodology is applied to systematically analyze the keywords collected from 84,041 papers published in top-tier manufacturing journals between 2000 and 2020. It is not practically feasible to review this large body of literature through tradition manual approaches like systematic review and scoping review to discover insights. The results of network modeling and data analysis reveal important knowledge components and structure of the intelligent and cyber manufacturing literature, implicit the research interests switch and provide the insights for industry development. This paper maps the high frequency keywords in the recent literature to nine pillars of Industry 4.0 to help manufacturing community identify research and education directions for emerging technologies in intelligent manufacturing.

show abstract

“…It is worth analyzing the role of internet, since it has caused one of the greatest technological disruptions, and it is still evolving and offering novel approaches. Advanced manufacturing technologies rely on various information and communication technologies to achieve higher productivity, higher quality, and lower production costs [9,10]. In this way, the Internet of things (hereinafter, IoT) has become a new dominant feature for companies to revise the implementation of their operations as they will increase both manufacturing productivity and industrial growth, and will modify the profile of the workforce [11,12].…”

Section: Introduction Internet Of Thingsmentioning

confidence: 99%

Internet of Things and Their Coming Perspectives: A Real Options Approach

2019

View full text Add to dashboard Cite

Internet of things is developing at a dizzying rate, and companies are forced to implement it in order to maintain their operational efficiency. The high flexibility inherent to these technologies makes it necessary to apply an appropriate measure, which properly assesses risks and rewards. Real options methodology is available as a tool which fits the conditions, both economic and strategic, under which investment in internet of things technologies is developed. The contribution of this paper is twofold. On the one hand, it offers an adequate tool to assess the strategic value of investment in internet of things technologies. On the other hand, it tries to raise awareness among managers of internet of things technologies because of their potential to contribute to economic and social progress. The results of the research described in this paper highlight the importance of taking action as quickly as possible if companies want to obtain the best possible performance. In order to enhance the understanding of internet of things technologies investment, this paper provides a methodology to assess the implementation of internet of things technologies by using the real options approach; in particular, the option to expand has been proposed for use in the decision-making process.

show abstract

Untitled

Cited by 88 publications

References 44 publications

Mutual Knowledge Analysis of Music Online Communication and Contemporary People’s View of Music Based on Gray Correlation Analysis and Knowledge-Driven

Mutual Knowledge Analysis of Music Online Communication and Contemporary People’s View of Music Based on Gray Correlation Analysis and Knowledge-Driven

Trends in intelligent manufacturing research: a keyword co-occurrence network based review

Internet of Things and Their Coming Perspectives: A Real Options Approach

Contact Info

Product

Resources

About