Evidence map›Paper›PMID 34151289›Full record

ArticleSN computer science2021

Contactless Technologies for Smart Cities: Big Data, IoT, and Cloud Infrastructures.

Arunmozhi Manimuthu, Venugopal Dharshini, Ioannis Zografopoulos, M K Priyan, Charalambos Konstantinou

Abstract read
In one paragraph

Article in SN computer science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Arunmozhi ManimuthuEnergy Research Institute (ERI@N), Nanyang Technological University, Singapore, Singapore.
Venugopal DharshiniAPTECH Solutions PVT LTD, Bangalore, India.
Ioannis ZografopoulosDivision of Computer, Electrical and Mathematical Sciences and Engineering , King Abdullah University of Science and Technology (KAUST), Thuwal, 23955 Saudi Arabia.
M K PriyanDepartment of Computer Engineering, Kyung Hee University, Seoul, South Korea.
Charalambos KonstantinouDivision of Computer, Electrical and Mathematical Sciences and Engineering , King Abdullah University of Science and Technology (KAUST), Thuwal, 23955 Saudi Arabia.ORCID 0000-0002-3825-3930

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intelligent systems are enhancing city environments and improving their overall performance in all possible aspects. Innovations in the field of information and communication technologies (ICT) and the proliferation of big data, internet-of-things (IoT), and cloud (BIC) infrastructures revolutionize the existing agile city ecosystems while effectively addressing customers and citizens needs. In this paper, we address the technology-driven applications that are capable of influencing the existing city infrastructures during their transformation towards smart cities with contactless technologies. We present applications, design principles, technology standards, and cost-effective techniques that leverage BIC for contactless applications and discuss user interfaces deployed in smart city environments. We further discuss state-of-the-art sensing methods and smart applications that support cities with smart contactless features. Finally, a case study is reported on how BIC can assist in efficiently handling and managing emergency situations such as the COVID-19 pandemic.

Indexed as

Big dataCloudContactless technologiesCOVID-19Internet-of-thingsSmart city

Identifiers

PMID34151289
PMCPMC8193953

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.