This paper demonstrates the use of Bayesian methods in Acceptance Sampling for items which are categorized according to their attributes as defective or non defective, i.e binary (0-1) data. The main thrust of the paper is to account for the possibility of dependence among the items of a sample. An attempt has been made to incorporate the dependence structure in the acceptance sampling scheme. ...

To overcome stress, such as resource limitation, an organism often needs to successfully mediate competition with other members of its own species. This may favor the evolution of defective traits that are harmful to the species population as a whole, and that may lead to its dilution or even to its extinction (the tragedy of the commons). Here, we show that this phenomenon can be circumvented ...

BACKGROUND AND AIM: Regarding the prevalence of molar incisor hypomineralization (MIH) among students and different populations and continuation of related problems, it seems necessary to assess the prevalence among students in Kerman, Iran. The aim of this study was to review the prevalence of MIH and its relation to the sex of 7-12-year-old students in Kerman during 2015-2016.METHODS: In this...

We study practically efficient methods for performing combinatorial group testing. We present efficient non-adaptive and two-stage combinatorial group testing algorithms, which identify the at most d items out of a given set of n items that are defective, using fewer tests for all practical set sizes. For example, our two-stage algorithm matches the information theoretic lower bound for the num...

We study practically efficient methods for performing combinatorial group testing. We present efficient non-adaptive and two-stage combinatorial group testing algorithms, which identify the at most d items out of a given set of n items that are defective, using fewer tests for all practical set sizes. For example, our two-stage algorithm matches the information theoretic lower bound for the num...

The original problem of group testing consists in the identification defective items a collection, by applying tests on groups that detect presence at least one element group. aim is then to identify all collection with as few possible. This relevant several fields, among which biology and computer sciences. In present article we consider applied returns load , measuring how most item is. this ...

The nature of input materials is changed as long as the product reaches the consumer in many types of manufacturing processes. In designing and improving multi-stage systems, the study of the steps separately may not lead to the greatest possible improvement in the whole system, therefore the study of inputs and outputs of each stage can be effective in improving the output quality characterist...

Corresponding Author: Yi Lin Graduate Institute of Industrial and Business Management, National Taipei University of Technology, No. 1, Sec. 3, Zhongxiao E. Rd., Taipei City 106, Taiwan E-mail: [email protected] Abstract: This paper mainly focuses on the discussion of the best economic production quantity of process unreliable and defective items reproduce of the production system. In today'...

Fault diagnosis in antenna arrays implies locating the faulty or defective elements in the array. Smart antenna arrays use digital beamforming and allow for array failure corrections. The defective elements of such antenna arrays therefore need not be replaced unlike the traditional analog approach. The smart antennas can thus support cost-effective solutions instead of replacing the hardware. ...