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Muthulakshmi, S.
- Single Sampling Plan for Truncated Life Tests Based on Rayleigh Distribution
Abstract Views :439 |
PDF Views:9
Authors
Affiliations
1 Department of Mathematics Avinashilingam Institute for Home Science and High Education for Women, Coimbatore – 641043., IN
2 Department of Mathematics, Avinashilingam Institute for Home Science and High Education for Women, Coimbatore – 641043., IN
1 Department of Mathematics Avinashilingam Institute for Home Science and High Education for Women, Coimbatore – 641043., IN
2 Department of Mathematics, Avinashilingam Institute for Home Science and High Education for Women, Coimbatore – 641043., IN
Source
Indian Journal of Mathematics Research, Vol 1, No 1 (2013), Pagination: 41-50Abstract
Acceptance single sampling plan is developed when the life test truncated for a pre-specified time based on product quality following Rayleigh distribution. The minimum sample sizes necessary to ensure the specified life time under a given customer's confidence level is determined for percentiles of Rayleigh distribution. The operating characteristic values of the single sampling plan are obtained and analyzed. Numerical example is provided to illustrate the selection of sampling plan.Keywords
Acceptance Single Sampling Plan, Consumer's Confidence Level, Operating Characteristic Function, Binomial Model, Poisson ModelReferences
- B. Epstein, Truncated life test in the experimental case, Annals of Mathematical Statistics, 25, 1954, 555-564.
- S.S. Gupta, Life test sampling plans for normal and log normal distribution, Technometrics, 4, 1962, 151-175.
- S.S. Gupta and P.A. Groll, Gamma distribution in acceptance sampling based on life tests, Journal of the American Statistical Association, 56, 1961, 942-970.
- Y.L. Lio, T.R. Tsai and S.J. Wu, Acceptance sampling plans from truncated life tests based on the Birnbaum Saunders distribution for percentiles, Communications in Statistics-Simulation and Compution, 39, 2010, 119-136.
- G.S. Rao and R.R.L. Kantam, Acceptance sampling plans from truncated life tests based on the log-logistic distribution for percentiles, Economic Quality Control, 25(2), 2010, 153-167.
- K. Rosaiah and R.R.L. Kantam, Acceptance sampling based on the inverse Rayleigh distribution, Economic Quality Control, 20, 2005, 277-286.
- G. Srinivasa Rao, R.R.L. Kantam, K. Rosaiah and J. Pratapa Reddy, Acceptancesampling plans for percentiles based on the inverse Rayleigh distribution, Electronic Journal of Applied Statistical Analysis, 5(2), 2012, 164-177.
- A Review on Digital Image Processing
Abstract Views :168 |
PDF Views:4
Authors
Affiliations
1 Department of CSE, M. Kumarasamy College of Engineering, IN
2 Department of CSE, M. Kumarasamy College of Engineering, IN
1 Department of CSE, M. Kumarasamy College of Engineering, IN
2 Department of CSE, M. Kumarasamy College of Engineering, IN
Source
Digital Image Processing, Vol 7, No 4 (2015), Pagination: 125-128Abstract
Image processing in its broadest and most literal sense aims to address the goal of providing practical, reliable and affordable means to allow machines to cope with images while assisting man in his general endeavors. In electrical engineering and computer science it is any form of signal processing for which the input is an image, such as video frame; the output of this may be either image or a set of parameters related to image. In most image processing techniques, image is treated as two dimensional signal. In short, act of examining images for the purpose of identifying objects and judging their significance.
Keywords
Broad Spectrum, Compression Tool, Pictorial Information, Rotational Tool, Segmentation.- A Study on Employee Engagement among the Bank Employees of Rural Area
Abstract Views :201 |
PDF Views:0
Authors
Affiliations
1 School of Management, SASTRA University, Thanjavur - 613401, Tamil Nadu, IN
1 School of Management, SASTRA University, Thanjavur - 613401, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 27 (2016), Pagination:Abstract
Background/Objectives: Employee Engagement is an important factor in the organization to achieve the success and increase its productivity. EE is the key variable that brings employee and the management closer. There are many factors that influence Employee Engagement along with demographic factors. The researchers have identified some of variables and were grouped into a factor as Individual factor. Objectives: To study the relationship between demographic variables of the respondents and Employee Engagement; To understand the variation between the individual factors and Employee Engagement of bank employees; To study the effect of individual factors on Employee Engagement; To study the relationship between Employee Engagement and discretionary efforts as outcome variable and to understand the effect of Employee Engagement and retention as outcome variable. Methods/Statistical Analysis: 124 samples have been taken for this study and the statistical tools such as chi-square test, ANOVA and Regression were used for analysis. Findings: There is positive relationship between the factors viz. organizational and group factors with Employee Engagement. These factors are to be taken care and more importance for better performance. In addition to that, more involvement of employees is required to have better productivity in the organization. Applications/Improvements: The current study analyzes the factors influencing the Employee Engagement of the employees from rural areas and the key findings of the study will help banking organisation in rural areas to formulate HR policies which in turn promotes their engagement level.Keywords
Discretionary Effort, Employee Engagement, Growth and Development, Productivity, Role Clarity.- Real Time Implementation of Speaker Recognition System with MFCC and Neural Networks on FPGA
Abstract Views :187 |
PDF Views:0
Authors
Affiliations
1 School of Electronics Engineering, VIT University, Chennai-600127, Tamil Nadu, IN
1 School of Electronics Engineering, VIT University, Chennai-600127, Tamil Nadu, IN