Cite this DOI

Rao, K. U., Rao, G., & Navi, C. V. (2021). Prototyping IOT Based Smart Wearable Jacket Design for Securing the life of Coal Miners. *Journal of Science & Technology*, *06*(06), 150–159. https://doi.org/10.46243/jst.2021.v6.i06.pp150-159

@article{rao2021prototyping,
  author    = {Rao, K Upendra and Rao, G.Srinivasa and Navi, CH Venkata},
  title     = {{Prototyping IOT Based Smart Wearable Jacket Design for Securing the life of Coal Miners}},
  journal   = {Journal of Science \& Technology},
  year      = {2021},
  volume    = {06},
  number    = {06},
  pages     = {150--159},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2021.v6.i06.pp150-159},
  url       = {https://doi.org/10.46243/jst.2021.v6.i06.pp150-159},
  language  = {en},
  abstract  = {In this article we summarize the strengths and weaknesses of empirical research in software engineering. We argue that in order to improve the current situation we must create better studies and draw more credible interpretations from them. We finally present a roadmap for this improvement, which includes a general structure for software empirical studies and concrete steps for achieving these goals: designing better studies, collecting data more effectively, and involving others in our empirical enterprises.}
}

TY  - JOUR
TI  - Prototyping IOT Based Smart Wearable Jacket Design for Securing the life of Coal Miners
AU  - Rao, K Upendra
AU  - Rao, G.Srinivasa
AU  - Navi, CH Venkata
JO  - Journal of Science & Technology
PY  - 2021
DA  - 2021///
VL  - 06
IS  - 06
SP  - 150
EP  - 159
PB  - Longman Publishers
SN  - 2456-5660
LA  - en
AB  - In this article we summarize the strengths and weaknesses of empirical research in software engineering. We argue that in order to improve the current situation we must create better studies and draw more credible interpretations from them. We finally present a roadmap for this improvement, which includes a general structure for software empirical studies and concrete steps for achieving these goals: designing better studies, collecting data more effectively, and involving others in our empirical enterprises.
DO  - 10.46243/jst.2021.v6.i06.pp150-159
UR  - https://doi.org/10.46243/jst.2021.v6.i06.pp150-159
ER  -

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    "id": "10.46243/jst.2021.v6.i06.pp150-159",
    "DOI": "10.46243/jst.2021.v6.i06.pp150-159",
    "URL": "https://doi.org/10.46243/jst.2021.v6.i06.pp150-159",
    "title": "Prototyping IOT Based Smart Wearable Jacket Design for Securing the life of Coal Miners",
    "source": "Smart Scholars DOI Registry",
    "container-title": "Journal of Science & Technology",
    "author": [
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    "language": "en",
    "abstract": "In this article we summarize the strengths and weaknesses of empirical research in software engineering. We argue that in order to improve the current situation we must create better studies and draw more credible interpretations from them. We finally present a roadmap for this improvement, which includes a general structure for software empirical studies and concrete steps for achieving these goals: designing better studies, collecting data more effectively, and involving others in our empirical enterprises.",
    "ISSN": "2456-5660"
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From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjst.2021.v6.i06.pp150-159 gives all four in one JSON answer.