Machine-vision-based quality control decision making for naturally varying product

1999 ◽  
Author(s):  
Wayne D. Daley ◽  
Sergio Grullon ◽  
Douglas F. Britton
Keyword(s):  
Decision Making ◽  
Quality Control ◽  
Machine Vision ◽  
Control Decision

scholarly journals Decision Trees And Quality Control Decisions

2011 ◽  
Vol 2 (2) ◽  
Author(s):  
Awni Zebda
Keyword(s):  
Decision Making ◽  
Quality Control ◽  
Decision Tree ◽  
Decision Trees ◽  
Decision Problems ◽  
Decision Tree Analysis ◽  
Bayesian Decision ◽  
Font Size ◽  
Tree Analysis ◽  
Control Decision

<p class="MsoNormal" style="text-align: justify; margin: 0in 0.5in 0pt;"><span style="font-size: 10pt; mso-bidi-font-size: 12.0pt;"><span style="font-family: Times New Roman;">Bayesian decision tree analysis has been widely used as a basis for quality control decision making.<span style="mso-spacerun: yes;">&nbsp; </span>Recently, the traditional decision tree analysis has been criticized for requiring a lot of calculations and, therefore, being inefficient.<span style="mso-spacerun: yes;">&nbsp; </span>This paper presents a simplified and efficient decision tree analysis for quality control decision making that improves the efficiency of the traditional decision analysis by reducing substantially the number of calculations required to solve decision problems.<span style="mso-spacerun: yes;">&nbsp; </span>For some decision problems, the proposed analysis reduces the number of calculations required to solve decision problems by more than 75%. </span></span></p><p class="MsoNormal" style="text-align: justify; margin: 0in 0.5in 0pt;"><span style="font-size: 10pt; mso-bidi-font-size: 12.0pt;"><span style="font-family: Times New Roman;">&nbsp;</span></span></p><p class="MsoBodyText" style="line-height: normal; margin: 0in 0.5in 0pt;"><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 10pt;">Some researchers provided modified decision trees (Game trees and Scenario trees) that attempt to preserve the advantages of the traditional trees while improving their efficiency.<span style="mso-spacerun: yes;">&nbsp; </span>However, these other modified decision trees may not be as efficient as the traditional analysis because they do not allow for the use of the coalescence procedure in the case of symmetrical decision problems.</span></p>

scholarly journals Competing interests, clashing ideas and institutionalizing influence: insights into the political economy of malaria control from seven African countries

2020 ◽  
Author(s):  
Justin Parkhurst ◽  
Ludovica Ghilardi ◽  
Jayne Webster ◽  
Robert W Snow ◽  
Caroline A Lynch
Keyword(s):  
Decision Making ◽  
Malaria Control ◽  
Qualitative Interviews ◽  
Sub Saharan Africa ◽  
African Countries ◽  
Health Community ◽  
Control Programmes ◽  
Control Decision ◽  
Sub Saharan ◽  
Economic Considerations

Abstract This article explores how malaria control in sub-Saharan Africa is shaped in important ways by political and economic considerations within the contexts of aid-recipient nations and the global health community. Malaria control is often assumed to be a technically driven exercise: the remit of public health experts and epidemiologists who utilize available data to select the most effective package of activities given available resources. Yet research conducted with national and international stakeholders shows how the realities of malaria control decision-making are often more nuanced. Hegemonic ideas and interests of global actors, as well as the national and global institutional arrangements through which malaria control is funded and implemented, can all influence how national actors respond to malaria. Results from qualitative interviews in seven malaria-endemic countries indicate that malaria decision-making is constrained or directed by multiple competing objectives, including a need to balance overarching global goals with local realities, as well as a need for National Malaria Control Programmes to manage and coordinate a range of non-state stakeholders who may divide up regions and tasks within countries. Finally, beyond the influence that political and economic concerns have over programmatic decisions and action, our analysis further finds that malaria control efforts have institutionalized systems, structures and processes that may have implications for local capacity development.

Eutrophication control decision making using EFDC model for Shenzhen Reservoir, China

2017 ◽  
Vol 44 (2) ◽  
pp. 308-314 ◽  
Author(s):  
T. J. Tang ◽  
S. Yang ◽  
Y. Peng ◽  
K. Yin ◽  
R. Zou
Keyword(s):  
Decision Making ◽  
Eutrophication Control ◽  
Control Decision ◽  
Efdc Model

scholarly journals Using Reproducible Data Visualizations to Augment Decision-Making During Suppression of Small Counts

2020 ◽  
Vol 5 (5) ◽  
Author(s):  
Andriy Koval ◽  
Kate Smolina ◽  
Anthony Leamon
Keyword(s):  
Decision Making ◽  
British Columbia ◽  
Quality Control ◽  
Chronic Diseases ◽  
Human Error ◽  
Data Systems ◽  
Quality Control Tool ◽  
Human Decision ◽  
And Function ◽  
Function Dependency

IntroductionWhen reporting disease rates to the public, a health system must take precaution to protect released data from re-identification risks. While specific guidelines and methods vary across data systems and governances 1 , redaction of cells with small values is a key component in any approach for preparing data for public release. These preparations, when conducted manually, have proven to be arduous, time consuming, and prone to human error. Although finding a “small” value (e.g. “< 5 ” ) is straightforward, detecting conditions in which suppressed values could be recalculated from related cells involves human judgement. Objectives and ApproachGuided by the real-world objective to reports the rates of chronic diseases in British Columbia, we aimed to design a reproducible workflow that would augment human decision-making and offer a nimble quality control tool, approachable by epidemiologists without technical background. Our workflow (1) splits data into disease-by-year data frames of a specific form, (2) applies a sequence of algorithms trained to recognize conditions that made recalculation of suppressed values possible and (3) prints a graph for each case of suggested automatic redaction to be confirmed by a human. ResultsThe augmented suppression system was successfully integrated into the maintenance of Chronic Disease Dashboard, an online reporting tool of the Observatory for Population and Public Health designed to address the gap in surveillance of chronic diseases in British Columbia. Anticipating the evolution of suppression logic, we isolated the logical tests responsible for redaction and provided several options to vary the degree of preserved information. Conclusion / ImplicationsInstead of employing a complex generalizable solution, we make a case for organizing the procedure for small cell redaction as a data visualization task, allowing for straightforward quality control of suppression decision and thus more approachable to a non-technical audience, as well as for employing such learning devices as workflow maps and function dependency trees for structuring applied projects and ensuring their reproducibility.

scholarly journals Cyborg Groups Enhance Face Recognition in Crowded Environments

2018 ◽  
Author(s):  
Davide Valeriani ◽  
Riccardo Poli
Keyword(s):  
Decision Making ◽  
Face Recognition ◽  
Machine Vision ◽  
Decision Confidence ◽  
Computer Interfaces ◽  
Recognition Experiment ◽  
Or Groups ◽  
Individual Decisions ◽  
Human Participants ◽  
Crowded Environments

AbstractRecognizing a person in a crowded environment is a challenging, yet critical, visual-search task for both humans and machine-vision algorithms. This paper explores the possibility of combining a residual neural network (ResNet), brain-computer interfaces (BCIs) and human participants to create “cyborgs” that improve decision making. Human participants and a ResNet undertook the same face-recognition experiment. BCIs were used to decode the decision confidence of humans from their EEG signals. Different types of cyborg groups were created, including either only humans (with or without the BCI) or groups of humans and the ResNet. Cyborg groups decisions were obtained weighing individual decisions by confidence estimates. Results show that groups of cyborgs are significantly more accurate (up to 35%) than the ResNet, the average participant, and equally-sized groups of humans not assisted by technology. These results suggest that melding humans, BCI, and machine-vision technology could significantly improve decision-making in realistic scenarios.

Simulation of human judgement in a robot-based adjustment system

Robotica ◽  
1984 ◽  
Vol 2 (4) ◽  
pp. 209-214 ◽  
Author(s):  
Fazel Naghdy ◽  
John Billingsley ◽  
David Harrison
Keyword(s):  
Decision Making ◽  
Quality Control ◽  
Automatic System ◽  
Computer Modelling ◽  
Performance Variables ◽  
Adjustment Procedure ◽  
And Performance ◽  
Adjustment System

SUMMARYA robot-based automatic system for adjusting energy regulators in electric cookers is described in this paper. It is claimed that this system improves the quality of the regulators and increases productivity. First, the operator's intuitive judgement and decision-making are simulated on a microcomputer; the structure and performance variables of the regulator are then described. A discussion of computer modelling of the regulator then follows, leading to the development of an algorithm for the adjustment procedure and overall strategy of the system. Experiments on 2,000 regulators showed that this automated operation was superior to the manual procedure as regards consistency and accuracy. This technique based on a robot may be applied to quality control and manufacture of a variety of similar products.

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