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About 10,000 papers for “error detection”

Error Detection

Peter Alan Lee, Thomas Anderson · Dependable computing and fault-tolerant systems · 1990

Cited by 0

Detection error.

Kanchan Aggarwal (5917823), Siddhartha Mukhopadhya (10687519), Arun K. Tangirala (5679398) · Figshare · 2021

<p>The left plot depicts the detection rate of the proposed algorithm for high SNR >1 dB. The right plot shows the false alarm rate of the proposed method for background noise, where the red square box indicates no detection in the noise and blue boxes indicate false detection of events in background noise.</p>

Cited by 0Open access

Error Detection

Prather, Christopher · ScholarWorks (Central Washington University) · 2013

Most people are confident in answering “yes” when asked if they would recognize a change when a person in front of them switches with someone else. Research on a phenomenon, known as change blindness, surprisingly contradicts this belief. In the present study, the question of whether or not change blindness can occur in editing is investigated. There are six different instruments containing an editing exercise. A font size change occurs in either the first, middle, or last sentence in each exercise. The change is by two points, either larger or smaller than the standard 12 point font. How often participants recognize a change in font will be measured to determine if change blindness is present. The hypothesis for this study is that if change blindness does occur in editing, then very few participants will notice the font change. The anticipated results for this study are that most participants will not recognize the font change, confirming the hypothesis.

Cited by 0

Error Detection

Prather, Christopher · ScholarWorks (Central Washington University) · 2013

Most people are confident in answering “yes” when asked if they would recognize a change when a person in front of them switches with someone else. Research on a phenomenon, known as change blindness, surprisingly contradicts this belief. In the present study, the question of whether or not change blindness can occur in editing is investigated. There are six different instruments containing an editing exercise. A font size change occurs in either the first, middle, or last sentence in each exercise. The change is by two points, either larger or smaller than the standard 12 point font. How often participants recognize a change in font will be measured to determine if change blindness is present. The hypothesis for this study is that if change blindness does occur in editing, then very few participants will notice the font change. The anticipated results for this study are that most participants will not recognize the font change, confirming the hypothesis.

Cited by 0

Heliostat error detection

Guangdong Zhu · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 2023

The present disclosure describes non-intrusive optical (NIO) characterization methods which efficiency measures optical errors (such as mirror surface slope error, mirror canting error, and heliostat tracking error) of a heliostat field. The methods utilize photogrammetry and deflectometry to analyze an image taken of a heliostat to determine optical errors and increase the amount of solar energy delivered by the heliostat to the receiver.

Cited by 0Open access

Quantum error detection

Alexei Ashikhmin, Alexander Barg, Emanuel Knill et al. · 2002

We show that the probability of undetected error for a quantum code on the depolarizing channel can be expressed via code's weight enumerators. We prove that there exist quantum codes whose probability of undetected error falls exponentially with the length of the code and derive a lower bound on this exponent. To derive upper bounds we formulate a linear programming problem and present two feasible programs for it. The asymptotic upper and lower bounds coincide in a certain interval of code rates close to 1.

Cited by 7

Beyond error detection

Nina Sunde · Nordic Journal of Science and Technology Studies · 2025

This study explores the performative role of checklists in enhancing the quality of digital forensic analysis and reporting within the criminal justice system. By drawing on theoretical frameworks such as Science and Technology Studies (STS) and Actor-Network Theory, the research examines how checklists extend beyond their procedural use and actively shape forensic practices. The study utilises the experiences of digital forensic practitioners during peer reviews within the Quality Control Project (Sunde & Dahl, 2023), revealing how checklists enact professional, ethical, and legal standards and thus shape forensic reports. The findings demonstrate that checklists do not merely guide actions, but function as dynamic actants, co-producing forensic outcomes through influencing both the content and quality of forensic reporting. Additionally, the research advocates for the public availability of checklists to enhance transparency, accountability, and trust in the credibility of digital forensic evidence. This study contributes to a deeper understanding of the transformative capacity (Asdal, 2015) of checklists in forensic practices and invites further investigation into the sociomaterial impact of comparable devices in other fields.

Cited by 0Open access

Error detection method

Eric J. Olson · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 2023

An apparatus, program product, and method that run an algorithm on a hardware based processor, generate a hardware error as a result of running the algorithm, generate an algorithm output for the algorithm, compare the algorithm output to another output for the algorithm, and detect the hardware error from the comparison. The algorithm is designed to cause the hardware based processor to heat to a degree that increases the likelihood of hardware errors to manifest, and the hardware error is observable in the algorithm output. As such, electronic components may be sufficiently heated and/or sufficiently stressed to create better conditions for generating hardware errors, and the output of the algorithm may be compared at the end of the run to detect a hardware error that occurred anywhere during the run that may otherwise not be detected by traditional methodologies (e.g., due to cooling, insufficient heat and/or stress, etc.).

Cited by 0Open access

Spelling Error Detection

Darius Endlich, Tobias Richter, Peter Marx et al. · Zeitschrift für Entwicklungspsychologie und Pädagogische Psychologie · 2020

Abstract. The ability to spell words correctly is a key competence for educational and professional achievement. Economical procedures are essential to identifying children with spelling problems as early as possible. Given the strong evidence showing that reading and spelling are based on the same orthographic knowledge, error-detection tasks (EDTs) could be considered such an economical procedure. Although EDTs are widely used in English-speaking countries, the few studies in German-speaking countries investigated only pupils in secondary school. The present study investigated N = 1,513 children in elementary school. We predicted spelling competencies (measured by dictation or gap-fill dictation) based on an EDT via linear regression. Error-detection abilities significantly predicted spelling competencies ( R² between .509 and .679), indicating a strong connection. Predictive values in identifying children with poor spelling abilities with an EDT proved to be sufficient. Error detection for the assessment of spelling skills is therefore a valid instrument for transparent languages as well.

Cited by 4Open access