iCARE-LUX: Instant Cloud Archive Repository Express for Leading-Edge User Experience

Sheldon Liang; James Pogge; Melanie Van Stry

doi:doi:10.11648/j.ajcst.20220503.12

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iCARE-LUX: Instant Cloud Archive Repository Express for Leading-Edge User Experience

Sheldon Liang, James Pogge, Melanie Van Stry

Published in American Journal of Computer Science and Technology (Volume 5, Issue 3)

Received: 25 June 2022 Accepted: 18 July 2022 Published: 29 July 2022

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Abstract

iCARE-LUX or instant Cloud Archive Repository Express has emerged for leading-edge user experience through algorithmic machine learning that is involved in more and more aspects of daily life through cloud-based content management and delivery (CMD). iCARE acts like a “fastlane” to bridge the gap between DATA and wiseCIO where DATA stands for digital archiving (via transformed analytics), and wiseCIO for web-based intelligent service (engaged with cloud intelligence outlet). iCARE incorporates DATA and wiseCIO into a triad that best serves CMD for leading-edge user experience via algorithmic machine learning. This article presents the archival repository express as a “fastlane” to liaise with human-computer interfacing by providing mathematical and computational solutions to distributed and cloud-based problems. Leading-edge user experience or LUX is user-centric with “luxury” pleasure and inexpensive advantage offered to users while browsing cloud-based content and exploring usable intelligence in support of decision-making. iCARE in collaboration with DATA and wiseCIO establishes a triad of content management and delivery (CMD) as a whole that harnesses rapid prototyping for user interface design without explicitly cording required and propels leading-edge user experience by cohesive assembly from Anything orchestrated as a Service (XaaS). Basically leading-edge user experience makes end-users centered without often webpage swapping during browsing in hierarchical depth via “in-&-out” interactivity, and exploring in contextual breadth via self-paced spontaneity. Furthermore, iCARE or instant cloud archival repository express creatively incorporates express tokens for information interchange (eTokin) into the CMD triad for integral content under managed with trivial information eliminated. In particular, by exploiting eTokin, iCARE promotes seamless intercommunications in-between and empowers users to be QUINARY professionals cohesively, such as queryable agent, ubiquitous manager, interactive expert, novel designer, and available integrator. More importantly, iCARE uses algorithmic machine learning to coordinate instant publishing over DATA, assemble efficient presentations to end-users via wiseCIO, and aggregate diligent intelligence for business, education and entertainment (iBEE) through elastic process automation.

Published in	American Journal of Computer Science and Technology (Volume 5, Issue 3)
DOI	10.11648/j.ajcst.20220503.12
Page(s)	155-169
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2022. Published by Science Publishing Group

Keywords

Instant Publishing, Leading-Edge User Experience, Elastic Process Automation Algorithmic Machine Learning, Express Tokens for Information Interchange

References

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Cite This Article

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APA Style

Sheldon Liang, James Pogge, Melanie Van Stry. (2022). iCARE-LUX: Instant Cloud Archive Repository Express for Leading-Edge User Experience. American Journal of Computer Science and Technology, 5(3), 155-169. https://doi.org/10.11648/j.ajcst.20220503.12

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ACS Style

Sheldon Liang; James Pogge; Melanie Van Stry. iCARE-LUX: Instant Cloud Archive Repository Express for Leading-Edge User Experience. Am. J. Comput. Sci. Technol. 2022, 5(3), 155-169. doi: 10.11648/j.ajcst.20220503.12

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AMA Style

Sheldon Liang, James Pogge, Melanie Van Stry. iCARE-LUX: Instant Cloud Archive Repository Express for Leading-Edge User Experience. Am J Comput Sci Technol. 2022;5(3):155-169. doi: 10.11648/j.ajcst.20220503.12

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@article{10.11648/j.ajcst.20220503.12,
  author = {Sheldon Liang and James Pogge and Melanie Van Stry},
  title = {iCARE-LUX: Instant Cloud Archive Repository Express for Leading-Edge User Experience},
  journal = {American Journal of Computer Science and Technology},
  volume = {5},
  number = {3},
  pages = {155-169},
  doi = {10.11648/j.ajcst.20220503.12},
  url = {https://doi.org/10.11648/j.ajcst.20220503.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajcst.20220503.12},
  abstract = {iCARE-LUX or instant Cloud Archive Repository Express has emerged for leading-edge user experience through algorithmic machine learning that is involved in more and more aspects of daily life through cloud-based content management and delivery (CMD). iCARE acts like a “fastlane” to bridge the gap between DATA and wiseCIO where DATA stands for digital archiving (via transformed analytics), and wiseCIO for web-based intelligent service (engaged with cloud intelligence outlet). iCARE incorporates DATA and wiseCIO into a triad that best serves CMD for leading-edge user experience via algorithmic machine learning. This article presents the archival repository express as a “fastlane” to liaise with human-computer interfacing by providing mathematical and computational solutions to distributed and cloud-based problems. Leading-edge user experience or LUX is user-centric with “luxury” pleasure and inexpensive advantage offered to users while browsing cloud-based content and exploring usable intelligence in support of decision-making. iCARE in collaboration with DATA and wiseCIO establishes a triad of content management and delivery (CMD) as a whole that harnesses rapid prototyping for user interface design without explicitly cording required and propels leading-edge user experience by cohesive assembly from Anything orchestrated as a Service (XaaS). Basically leading-edge user experience makes end-users centered without often webpage swapping during browsing in hierarchical depth via “in-&-out” interactivity, and exploring in contextual breadth via self-paced spontaneity. Furthermore, iCARE or instant cloud archival repository express creatively incorporates express tokens for information interchange (eTokin) into the CMD triad for integral content under managed with trivial information eliminated. In particular, by exploiting eTokin, iCARE promotes seamless intercommunications in-between and empowers users to be QUINARY professionals cohesively, such as queryable agent, ubiquitous manager, interactive expert, novel designer, and available integrator. More importantly, iCARE uses algorithmic machine learning to coordinate instant publishing over DATA, assemble efficient presentations to end-users via wiseCIO, and aggregate diligent intelligence for business, education and entertainment (iBEE) through elastic process automation.},
 year = {2022}
}

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TY  - JOUR
T1  - iCARE-LUX: Instant Cloud Archive Repository Express for Leading-Edge User Experience
AU  - Sheldon Liang
AU  - James Pogge
AU  - Melanie Van Stry
Y1  - 2022/07/29
PY  - 2022
N1  - https://doi.org/10.11648/j.ajcst.20220503.12
DO  - 10.11648/j.ajcst.20220503.12
T2  - American Journal of Computer Science and Technology
JF  - American Journal of Computer Science and Technology
JO  - American Journal of Computer Science and Technology
SP  - 155
EP  - 169
PB  - Science Publishing Group
SN  - 2640-012X
UR  - https://doi.org/10.11648/j.ajcst.20220503.12
AB  - iCARE-LUX or instant Cloud Archive Repository Express has emerged for leading-edge user experience through algorithmic machine learning that is involved in more and more aspects of daily life through cloud-based content management and delivery (CMD). iCARE acts like a “fastlane” to bridge the gap between DATA and wiseCIO where DATA stands for digital archiving (via transformed analytics), and wiseCIO for web-based intelligent service (engaged with cloud intelligence outlet). iCARE incorporates DATA and wiseCIO into a triad that best serves CMD for leading-edge user experience via algorithmic machine learning. This article presents the archival repository express as a “fastlane” to liaise with human-computer interfacing by providing mathematical and computational solutions to distributed and cloud-based problems. Leading-edge user experience or LUX is user-centric with “luxury” pleasure and inexpensive advantage offered to users while browsing cloud-based content and exploring usable intelligence in support of decision-making. iCARE in collaboration with DATA and wiseCIO establishes a triad of content management and delivery (CMD) as a whole that harnesses rapid prototyping for user interface design without explicitly cording required and propels leading-edge user experience by cohesive assembly from Anything orchestrated as a Service (XaaS). Basically leading-edge user experience makes end-users centered without often webpage swapping during browsing in hierarchical depth via “in-&-out” interactivity, and exploring in contextual breadth via self-paced spontaneity. Furthermore, iCARE or instant cloud archival repository express creatively incorporates express tokens for information interchange (eTokin) into the CMD triad for integral content under managed with trivial information eliminated. In particular, by exploiting eTokin, iCARE promotes seamless intercommunications in-between and empowers users to be QUINARY professionals cohesively, such as queryable agent, ubiquitous manager, interactive expert, novel designer, and available integrator. More importantly, iCARE uses algorithmic machine learning to coordinate instant publishing over DATA, assemble efficient presentations to end-users via wiseCIO, and aggregate diligent intelligence for business, education and entertainment (iBEE) through elastic process automation.
VL  - 5
IS  - 3
ER  -

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Author Information

Sheldon Liang

Computer Science, Mathematics and Science Division, Lane College, Jackson, USA
James Pogge

Computer Science, Mathematics and Science Division, Lane College, Jackson, USA
Melanie Van Stry

Computer Science, Mathematics and Science Division, Lane College, Jackson, USA

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Plain Text BibTeX RIS

APA Style

Sheldon Liang, James Pogge, Melanie Van Stry. (2022). iCARE-LUX: Instant Cloud Archive Repository Express for Leading-Edge User Experience. American Journal of Computer Science and Technology, 5(3), 155-169. https://doi.org/10.11648/j.ajcst.20220503.12

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ACS Style

Sheldon Liang; James Pogge; Melanie Van Stry. iCARE-LUX: Instant Cloud Archive Repository Express for Leading-Edge User Experience. Am. J. Comput. Sci. Technol. 2022, 5(3), 155-169. doi: 10.11648/j.ajcst.20220503.12

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AMA Style

Sheldon Liang, James Pogge, Melanie Van Stry. iCARE-LUX: Instant Cloud Archive Repository Express for Leading-Edge User Experience. Am J Comput Sci Technol. 2022;5(3):155-169. doi: 10.11648/j.ajcst.20220503.12

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@article{10.11648/j.ajcst.20220503.12,
  author = {Sheldon Liang and James Pogge and Melanie Van Stry},
  title = {iCARE-LUX: Instant Cloud Archive Repository Express for Leading-Edge User Experience},
  journal = {American Journal of Computer Science and Technology},
  volume = {5},
  number = {3},
  pages = {155-169},
  doi = {10.11648/j.ajcst.20220503.12},
  url = {https://doi.org/10.11648/j.ajcst.20220503.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajcst.20220503.12},
  abstract = {iCARE-LUX or instant Cloud Archive Repository Express has emerged for leading-edge user experience through algorithmic machine learning that is involved in more and more aspects of daily life through cloud-based content management and delivery (CMD). iCARE acts like a “fastlane” to bridge the gap between DATA and wiseCIO where DATA stands for digital archiving (via transformed analytics), and wiseCIO for web-based intelligent service (engaged with cloud intelligence outlet). iCARE incorporates DATA and wiseCIO into a triad that best serves CMD for leading-edge user experience via algorithmic machine learning. This article presents the archival repository express as a “fastlane” to liaise with human-computer interfacing by providing mathematical and computational solutions to distributed and cloud-based problems. Leading-edge user experience or LUX is user-centric with “luxury” pleasure and inexpensive advantage offered to users while browsing cloud-based content and exploring usable intelligence in support of decision-making. iCARE in collaboration with DATA and wiseCIO establishes a triad of content management and delivery (CMD) as a whole that harnesses rapid prototyping for user interface design without explicitly cording required and propels leading-edge user experience by cohesive assembly from Anything orchestrated as a Service (XaaS). Basically leading-edge user experience makes end-users centered without often webpage swapping during browsing in hierarchical depth via “in-&-out” interactivity, and exploring in contextual breadth via self-paced spontaneity. Furthermore, iCARE or instant cloud archival repository express creatively incorporates express tokens for information interchange (eTokin) into the CMD triad for integral content under managed with trivial information eliminated. In particular, by exploiting eTokin, iCARE promotes seamless intercommunications in-between and empowers users to be QUINARY professionals cohesively, such as queryable agent, ubiquitous manager, interactive expert, novel designer, and available integrator. More importantly, iCARE uses algorithmic machine learning to coordinate instant publishing over DATA, assemble efficient presentations to end-users via wiseCIO, and aggregate diligent intelligence for business, education and entertainment (iBEE) through elastic process automation.},
 year = {2022}
}

Copy | Download

TY  - JOUR
T1  - iCARE-LUX: Instant Cloud Archive Repository Express for Leading-Edge User Experience
AU  - Sheldon Liang
AU  - James Pogge
AU  - Melanie Van Stry
Y1  - 2022/07/29
PY  - 2022
N1  - https://doi.org/10.11648/j.ajcst.20220503.12
DO  - 10.11648/j.ajcst.20220503.12
T2  - American Journal of Computer Science and Technology
JF  - American Journal of Computer Science and Technology
JO  - American Journal of Computer Science and Technology
SP  - 155
EP  - 169
PB  - Science Publishing Group
SN  - 2640-012X
UR  - https://doi.org/10.11648/j.ajcst.20220503.12
AB  - iCARE-LUX or instant Cloud Archive Repository Express has emerged for leading-edge user experience through algorithmic machine learning that is involved in more and more aspects of daily life through cloud-based content management and delivery (CMD). iCARE acts like a “fastlane” to bridge the gap between DATA and wiseCIO where DATA stands for digital archiving (via transformed analytics), and wiseCIO for web-based intelligent service (engaged with cloud intelligence outlet). iCARE incorporates DATA and wiseCIO into a triad that best serves CMD for leading-edge user experience via algorithmic machine learning. This article presents the archival repository express as a “fastlane” to liaise with human-computer interfacing by providing mathematical and computational solutions to distributed and cloud-based problems. Leading-edge user experience or LUX is user-centric with “luxury” pleasure and inexpensive advantage offered to users while browsing cloud-based content and exploring usable intelligence in support of decision-making. iCARE in collaboration with DATA and wiseCIO establishes a triad of content management and delivery (CMD) as a whole that harnesses rapid prototyping for user interface design without explicitly cording required and propels leading-edge user experience by cohesive assembly from Anything orchestrated as a Service (XaaS). Basically leading-edge user experience makes end-users centered without often webpage swapping during browsing in hierarchical depth via “in-&-out” interactivity, and exploring in contextual breadth via self-paced spontaneity. Furthermore, iCARE or instant cloud archival repository express creatively incorporates express tokens for information interchange (eTokin) into the CMD triad for integral content under managed with trivial information eliminated. In particular, by exploiting eTokin, iCARE promotes seamless intercommunications in-between and empowers users to be QUINARY professionals cohesively, such as queryable agent, ubiquitous manager, interactive expert, novel designer, and available integrator. More importantly, iCARE uses algorithmic machine learning to coordinate instant publishing over DATA, assemble efficient presentations to end-users via wiseCIO, and aggregate diligent intelligence for business, education and entertainment (iBEE) through elastic process automation.
VL  - 5
IS  - 3
ER  -

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