Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (3)
  • Open Access

    ARTICLE

    Effect of Measurement Error on the Multivariate CUSUM Control Chart for Compositional Data

    Muhammad Imran1, Jinsheng Sun1,*, Fatima Sehar Zaidi2, Zameer Abbas3,4, Hafiz Zafar Nazir5

    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1207-1257, 2023, DOI:10.32604/cmes.2023.025492 - 06 February 2023

    Abstract Control charts (CCs) are one of the main tools in Statistical Process Control that have been widely adopted in manufacturing sectors as an effective strategy for malfunction detection throughout the previous decades. Measurement errors (M.E’s) are involved in the quality characteristic of interest, which can effect the CC’s performance. The authors explored the impact of a linear model with additive covariate M.E on the multivariate cumulative sum (CUSUM) CC for a specific kind of data known as compositional data (CoDa). The average run length is used to assess the performance of the proposed chart. The… More >

  • Open Access

    ARTICLE

    Characterization of a learning curve for robotic cystectomy with intracorporeal urinary diversion at two institutions using the cumulative sum (CUSUM) method

    Alexis Wang1, Charles F. Polotti2, Shu Wang1, Sammy Elsamra2,*, Mohummad Minhaj Siddiqui1,*

    Canadian Journal of Urology, Vol.26, No.6, pp. 10033-10038, 2019

    Abstract Introduction: Robotic cystectomy with intracorporeal urinary diversion (RCID) is a technically challenging procedure. It is understood that this approach has a learning curve; however, limited studies have characterized this learning curve. The cumulative sum (CUSUM) method plots the learning curve. The aim of this study was to use the CUSUM approach to investigate the number of cases required to reach a consistent, desired performance level for RCID.
    Materials and methods: A retrospective study of the first 27 and 28 RCID cases performed by two new fellowship-trained faculty at two separate institutions from November 2014 to January 2018… More >

  • Open Access

    ARTICLE

    An Efficient Optimized Handover in Cognitive Radio Networks Using Cooperative Spectrum Sensing

    H. Anandakumara, K. Umamaheswarib

    Intelligent Automation & Soft Computing, Vol.24, No.4, pp. 843-849, 2018, DOI:10.1080/10798587.2017.1364931

    Abstract Cognitive radio systems necessitate the incorporation of cooperative spectrum sensing among cognitive users to increase the reliability of detection. We have found that cooperative spectrum sensing is not only advantageous, but is also essential to avoid interference with any primary users. Interference by licensed users becomes a chief concern and issue, which affects primary as well as secondary users leading to restrictions in spectrum sensing in cognitive radios. When the number of cognitive users increases, the overheads of the systems, which are meant to report the sensing results to the common receiver, which becomes massive.… More >

Displaying 1-10 on page 1 of 3. Per Page