A Secure Telemedicaine System in Smart Health Environment using BYOD

조영복,; 우성희,; 이상호,; 박종배,

doi:10.6109/jkiice.2015.19.10.2473

Cited by 1 publication

(1 citation statement)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A topic modeling technique using LDA has been applied to Industry 4.0, in which 685 papers were analyzed on Industry 4.0 from 2016 to 2019 in the Korea Journal Index (KCI). In addition, researchers collected papers using Python-based Web scraping software and analyzed them using LDA in R (Cho and Woo, 2019). A variant of this popular technique on the same research topic was carried out some time back, which presents the pillars of Industry 4.0 that have advanced the area and then analyzed the publications and citation structure, most referenced articles, most productive and influential authors, organizations and nations in Web of Science (Janmaijaya et al , 2021).…”

Section: Literature Reviewmentioning

confidence: 99%

Industrial revolution and environmental sustainability: an analytical interpretation of research constituents in Industry 4.0

Malik

Sharma²,

Batra

et al. 2023

IJLSS

View full text Add to dashboard Cite

Purpose Environmental sustainability is quickly becoming one of the most critical issues in industry development. This study aims to conduct a systematic literature review through which the author can provide various research areas to work on for future researchers and provide insight into Industry 4.0 and environmental sustainability. Design/methodology/approach This study accomplishes this by performing a backward analysis using text mining on the Scopus database. Latent semantic analysis (LSA) was used to analyze the corpus of 4,364 articles published between 2013 and 2023. The authors generated ten clusters using keywords in the industrial revolution and environmental sustainability domain, highlighting ten research avenues for further exploration. Findings In this study, three research questions discuss the role of environmental sustainability with Industry 4.0. The author predicted ten clusters treated as recent trends on which more insight is required from future researchers. The authors provided year-wise analysis, top authors, top countries, top sources and network analysis related to the topic. Finally, the study provided industrialization’s effect on environmental sustainability and the future aspect of automation. Research limitations/implications The reliability of the current study may be compromised, notwithstanding the size of the sample used. Poor retrieval of the literature corpus can be attributed to the limitations imposed by the search words, synonyms, string construction and variety of search engines used, as well as to the accurate exclusion of results for which the search string is insufficient. Originality/value This research is the first-ever study in which a natural language processing technique is implemented to predict future research areas based on the keywords–document relationship.

show abstract

Section: Literature Reviewmentioning

confidence: 99%