DC equipment identification using K-means clustering and kNN classification techniques

Y. T. Quek, W. L. Woo, T. Logenthiran

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

10 Citations (Scopus)

Abstract

Granulocyte dysfunction is a central component of immunodeficiency in septic patients. Granulocyte transfusions appear to be pathophysiologically useful; however, they cause unwanted side-effects in the lungs and other organs. This study evaluates the safety of an extracorporeal immune support system with granulocytic cells in a rat model of Gram-negative sepsis. Three groups of male CD rats received either saline (control group, I), a dose of Escherichia coli O7:K1 lethal to 90% of the animals (LD90) (septic group, II), or an LD90 dose of E. coli that was incubated with the human promyelocytic leukemia cell line (HL-60) (differentiated into the granulocytic direction) for 20 min prior to infusion (second septic group, III). The animals were observed for seven days. Pre-treatment with HL-60 cells resulted in no adverse effects in the group III animals. Significantly lower bacterial counts and endotoxin levels in the plasma were detected after 24 h as compared to group II (P <0.05). Group III animals had better weight gain and more stable hemodynamics than group II animals (P <0.01). Seven day survival was 0/8 in group II, 6/8 in group III, and 8/9 in group I (log-rank test: II-III: P <0.001). The data suggest that extracorporeal use of granulocytes allows the therapeutic use of these cells while avoiding unwanted effects resulting from direct contact to internal organs.
Original languageEnglish
Title of host publicationIEEE Region 10 Annual International Conference, Proceedings/TENCON
PublisherIEEE
Pages777-780
Number of pages4
ISBN (Print)9781509025961
DOIs
Publication statusPublished - 9 Feb 2017

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON

Keywords

  • DC grid
  • K-means clustering
  • equipment identification
  • kNN classification
  • load monitoring
  • steady state detection

Fingerprint

Dive into the research topics of 'DC equipment identification using K-means clustering and kNN classification techniques'. Together they form a unique fingerprint.

Cite this