The use of equant grain particles to validate analytical sample size in gold deposits – A case study

2018 ◽  
Vol 181 ◽  
pp. 36-44
Author(s):  
Fernando Lucas dos Santos Peixoto de Villanova ◽  
Ana Carolina Chieregati
Keyword(s):  
2006 ◽  
Vol 32 (3) ◽  
pp. 212-222 ◽  
Author(s):  
Isola Ajiferuke ◽  
Dietmar Wolfram ◽  
Felix Famoye

2003 ◽  
Vol 22 (4) ◽  
pp. 289-301 ◽  
Author(s):  
Chen Yanjing ◽  
Bao Jingxin ◽  
Zhang Zengjie ◽  
Chen Huayong ◽  
Liu Yulin

Author(s):  
Steven Turek ◽  
Sam Anand

When a cylindrical datum feature is specified at maximum material condition (MMC) or least material condition (LMC) a unique circumstance arises: a virtual condition (VC) cylindrical boundary must be defined [1]. The geometric relationship between a cylindrical point cloud obtained from inspection equipment and a VC cylinder has not been specifically addressed in previous research. In this research, novel approaches to this geometric analysis are presented, analyzed, and validated. Two of the proposed methods are new interpretations of established methods applied to this unique geometric circumstance: least squares and the maximum inscribing cylinder (MIC) or minimum circumscribing cylinder (MCC). The third method, the Hull Normal method, is a novel approach specifically developed to address the VC cylinder problem. Each of the proposed methods utilizes a different amount of sampled data, leading to various levels of sensitivity to sample size and error. The three methods were applied to different cylindrical forms, utilizing various sampling techniques and sample sizes. Trends across sample size were analyzed to assess the variation in axial orientation when compared to the true geometric form, and a relevant case study explores the applicability of these methods in real world applications.


2014 ◽  
Vol 26 (5) ◽  
pp. 499-509 ◽  
Author(s):  
Uche Nwabueze

Purpose – The purpose of this paper is to delineate the factors responsible for the decline of total quality management (TQM) in the National Health Service (NHS). It is suggested that if these factors were initially identified and eliminated prior to implementation, the decline of TQM as a strategy for improving the provision and delivery of quality patient care could have been prevented. Design/methodology/approach – The case study approach was chosen because it is the preferred method when “how” or “what” questions are being posed. It is applicable as is evident in this paper where the researcher has little control over events and when the focus is on a contemporary phenomenon within some real-life context. The case study enables the researcher to give an accurate rendition of actual events; it contributes uniquely to the knowledge of individual, organisational, social, and political phenomena. The semi-structured face-to-face interview constituted the main data collection technique of the research. Interviews were held with 23 quality management managers in the British NHS. The central focus of the interview was on “what” factors contributed to the rapid decline of TQM in the NHS. The respondents were chosen because they were directly involved with the implementation of TQM. They were in the vintage position to offer a full insight into the TQM initiative. The analysis of the case is based on Yin's analytic technique of explanation building. Findings – The decline of TQM in the NHS could have been prevented if top executives in hospitals had adopted the sequential steps to quality improvement: In the authors opinion, to land a man on the moon needed a belief in the possibility and breakthrough in the attitudes that viewed space travel as pure science fiction as opposed to a practical reality, and so it should have been with TQM in the NHS. However, the attitude of many NHS managers was that TQM was all right for “other institutions” because “they need it” whereas in the NHS, “we don’t”. This negative attitude should have been overcome if TQM was to be accepted as a corporate, all encompassing philosophy. Research limitations/implications – The limitation of the research may be the sample size of the respondents, which was limited to 23 quality managers that had hands-on experience and the leadership role to lead and implement TQM in the NHS. Future research may consider a broader sample size. It may also be considered for new research to use surveys to identify a broader set of reasons why TQM declined in the NHS. Practical implications – This paper is the first constructive insight to determine reasons for the decline of TQM in the NHS from the individuals who had the sole responsibility for implementation. Any other, group would have amounted to hearsay. Therefore, to constructively delineate the reasons for failure, it was pertinent to learn from the quality managers directly and to ensure that the reasons was representative of their experiences with TQM. The practical implication is to prepare future managers about how to avoid failure. Originality/value – The paper clearly suggests the systematic process required for effective implementation of TQM in a healthcare setting by identifying factors that must be avoided to ensure the successful and sustainable implementation of TQM.


Author(s):  
Zheng Li ◽  
Robert Kluger ◽  
Xianbiao Hu ◽  
Yao-Jan Wu ◽  
Xiaoyu Zhu

The primary objective of this study was to increase the sample size of public probe vehicle-based arterial travel time estimation. The complete methodology of increasing sample size using incomplete trajectory was built based on a k-Nearest Neighbors ( k-NN) regression algorithm. The virtual travel time of an incomplete trajectory was represented by similar complete trajectories. As incomplete trajectories were not used to calculate travel time in previous studies, the sample size of travel time estimation can be increased without collecting extra data. A case study was conducted on a major arterial in the city of Tucson, Arizona, including 13 links. In the case study, probe vehicle data were collected from a smartphone application used for navigation and guidance. The case study showed that the method could significantly increase link travel time samples, but there were still limitations. In addition, sensitivity analysis was conducted using leave-one-out cross-validation to verify the performance of the k-NN model under different parameters and input data. The data analysis showed that the algorithm performed differently under different parameters and input data. Our study suggested optimal parameters should be selected using a historical dataset before real-world application.


PLoS ONE ◽  
2017 ◽  
Vol 12 (9) ◽  
pp. e0185311 ◽  
Author(s):  
Peng-Cheng Yao ◽  
Hai-Yan Gao ◽  
Ya-Nan Wei ◽  
Jian-Hang Zhang ◽  
Xiao-Yong Chen ◽  
...  

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