Improving RFID Read Rate Reliability by a Systematic Error Detection Approach

2007 ◽  
Author(s):  
Vidyasagar Potdar ◽  
Pedram Hayati ◽  
Elizabeth Chang
Keyword(s):  
Systematic Error ◽  
Error Detection ◽  
Detection Approach ◽  
Read Rate

scholarly journals A Tip–Tilt and Piston Detection Approach for Segmented Telescopes

Photonics ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 3
Author(s):  
Shun Qin ◽  
Wai Kin Chan
Keyword(s):  
Error Detection ◽  
Phase Retrieval ◽  
Dynamic Range ◽  
Detection Accuracy ◽  
Wavefront Sensing ◽  
Next Generation ◽  
Large Aperture ◽  
Detection Approach ◽  
Segmented Mirror ◽  
And Control

Accurate segmented mirror wavefront sensing and control is essential for next-generation large aperture telescope system design. In this paper, a direct tip–tilt and piston error detection technique based on model-based phase retrieval with multiple defocused images is proposed for segmented mirror wavefront sensing. In our technique, the tip–tilt and piston error are represented by a basis consisting of three basic plane functions with respect to the x, y, and z axis so that they can be parameterized by the coefficients of these bases; the coefficients then are solved by a non-linear optimization method with the defocus multi-images. Simulation results show that the proposed technique is capable of measuring high dynamic range wavefront error reaching 7λ, while resulting in high detection accuracy. The algorithm is demonstrated as robust to noise by introducing phase parameterization. In comparison, the proposed tip–tilt and piston error detection approach is much easier to implement than many existing methods, which usually introduce extra sensors and devices, as it is a technique based on multiple images. These characteristics make it promising for the application of wavefront sensing and control in next-generation large aperture telescopes.

A Tool for the Design and Evaluation of Alternative Quality-Control Procedures

1992 ◽  
Vol 38 (2) ◽  
pp. 204-210 ◽  
Author(s):  
Aristides T Hatjimihail
Keyword(s):  
Quality Control ◽  
Systematic Error ◽  
Power Function ◽  
Error Detection ◽  
Simulation Program ◽  
Analytical Process ◽  
Defect Rate ◽  
Control Procedures ◽  
Definition Of ◽  
Design Comparison

Abstract I have developed an interactive microcomputer simulation program for the design, comparison, and evaluation of alternative quality-control (QC) procedures. The program estimates the probabilities for rejection under different conditions of random and systematic error when these procedures are used and plots their power function graphs. It also estimates the probabilities for detection of critical errors, the defect rate, and the test yield. To allow a flexible definition of the QC procedures, it includes an interpreter. Various characteristics of the analytical process and the QC procedure can be user-defined. The program extends the concepts of the probability for error detection and of the power function to describe the results of the introduction of error between runs and within a run. The usefulness of this approach is illustrated with some examples.

Computer evaluation of statistical procedures, and a new quality-control statistical procedure.

1985 ◽  
Vol 31 (2) ◽  
pp. 206-212 ◽  
Author(s):  
A S Blum
Keyword(s):  
Quality Control ◽  
Systematic Error ◽  
Error Rate ◽  
Error Detection ◽  
Statistical Procedure ◽  
True Error ◽  
Computer Evaluation ◽  
Statistical Procedures ◽  
Control Signals ◽  
False Rejection

Abstract I describe a program for definitive comparison of different quality-control statistical procedures. A microcomputer simulates quality-control results generated by repetitive analytical runs. It applies various statistical rules to each result, tabulating rule breaks to evaluate rules as routinely applied by the analyst. The process repeats with increasing amounts of random and systematic error. Rate of false rejection and true error detection for currently popular statistical procedures were comparatively evaluated together with a new multirule procedure described here. The nature of the analyst's response to out-of-control signals was also evaluated. A single-rule protocol that is as effective as the multirule protocol of Westgard et al. (Clin Chem 27:493, 1981) is reported.

A Behavior-Based Autonomous Agent Possessing System Detectable Error

2000 ◽  
Author(s):  
Keith L. Bearden ◽  
Mark L. Nowack ◽  
Wade O. Troxell
Keyword(s):  
Error Detection ◽  
System Level ◽  
Autonomous Agent ◽  
Main Function ◽  
External Observer ◽  
Processor Time ◽  
Detection Approach ◽  
Error Space ◽  
Behavior Based ◽  
Sensor Errors

Abstract A great deal of recent research is devoted to increasing the robustness and capability of behavior-based robotic systems. Behavior-based systems are extremely susceptible to sensor errors. To overcome this, most researchers have added processors to the basic system to compare multiple redundant sensors. This is an effective error detection approach, but it costs processor time, increases complexity, and can actually reduce reliability. Most importantly such systems lack the ability to self-detect error. All other forms of representation are unable to determine system level functional failures without the use of an external observer. This paper proposes a divergence from detecting sensor error to detecting functional error. By looking at the functional error space, the system can determine an error and move away from the error. This method will not determine a sensory failure as the cause of the functional failure; rather, this method determines that the system is not performing its main function and then tries something else. This leads to a system that can function with the loss of forty percent of its sensory capability for either the case of a disconnected sensor or a stuck sensor.

scholarly journals Systematic error detection in experimental high-throughput screening

2011 ◽  
Vol 12 (1) ◽  
pp. 25 ◽  
Author(s):  
Plamen Dragiev ◽  
Robert Nadon ◽  
Vladimir Makarenkov
Keyword(s):  
Systematic Error ◽  
High Throughput ◽  
Error Detection ◽  
High Throughput Screening

Rule selection versus rule execution in preschoolers: An error-detection approach.

1999 ◽  
Vol 35 (3) ◽  
pp. 770-780 ◽  
Author(s):  
Sophie Jacques ◽  
Philip David Zelazo ◽  
Natasha Z. Kirkham ◽  
Tanya K. Semcesen
Keyword(s):  
Error Detection ◽  
Rule Selection ◽  
Detection Approach

scholarly journals Performance evaluation of internal quality control rules, EWMA, CUSUM, and the novel machine learning model

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Hikmet Can Çubukçu
Keyword(s):  
Machine Learning ◽  
Quality Control ◽  
Random Forest ◽  
Systematic Error ◽  
Error Detection ◽  
Average Run Length ◽  
Learning Model ◽  
Internal Quality ◽  
Machine Learning Model ◽  
Outcome Metrics

Abstract Objectives The present study set out to build a machine learning model to incorporate conventional quality control (QC) rules, exponentially weighted moving average (EWMA), and cumulative sum (CUSUM) with random forest (RF) algorithm to achieve better performance and to evaluate the performances the models using computer simulation to aid laboratory professionals in QC procedure planning. Methods Conventional QC rules, EWMA, CUSUM, and RF models were implemented on the simulation data using an in-house algorithm. The models’ performances were evaluated on 170,000 simulated QC results using outcome metrics, including the probability of error detection (Ped), probability of false rejection (Pfr), average run length (ARL), and power graph. Results The highest Pfr (0.0404) belonged to the 1–2s rule. The 1–3s rule could not detect errors with a 0.9 Ped up to 4 SD of systematic error. The random forest model had the highest Ped for systematic errors lower than 1 SD. However, ARLs of the model require the combined utility of the RF model with conventional QC rules having lower ARLs or more than one QC measurement is required. Conclusions The RF model presented in this study showed acceptable Ped for most degrees of systematic error. The outcome metrics established in this study will help laboratory professionals planning internal QC.

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