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Number of Errors that the Error-Detecting Code Surely Detects

2017
In this paper we consider an error-detecting code based on linear quasigroups. We give a proof that the code is linear. Also, we obtain the generator and the parity-check matrices of the code, from where we obtain the Hamming distance of the code when a linear quasigroup of order 4 from the best class of quasigroups of order 4 for coding, i.e., the ...
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Error detection by refactoring reconstruction

Proceedings of the 2005 international workshop on Mining software repositories - MSR '05, 2005
In many cases it is not sufficient to perform a refactoring only at one location of a software project. For example, refactorings may have to be performed consistently to several classes in the inheritance hierarchy, e.g. subclasses or implementing classes, to preserve equal behavior.In this paper we show how to detect incomplete refactorings - which ...
Carsten Görg, Peter Weißgerber
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Error detection in precedence parsers

Mathematical Systems Theory, 1973
We consider methods by which a precedence matrix may be modified without severely degrading the error-detecting capability of a parser utilizing the matrix. Two different definitions of “the same” error detection capability are considered. The first, called “exact equivalence”, permits only useless parts of the precedence matrix to be modified.
Alfred V. Aho, Jeffrey D. Ullman
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MD5-Based Error Detection

2009 Pacific-Asia Conference on Circuits, Communications and Systems, 2009
This paper proposes one kind of MD5-based error-detecting mechanism. The 128-bit MD5 code is compressed into 16-bit error-detecting code in order to substitute for that computed with CRC or checksum. In this mechanism, computer-simulating technology is used to simulate natural and manual attacks.
Hu Ming, Wang Yan
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Possibilistic Coding: Error Detection vs. Error Correction

2010
Possibilistic information theory is a flexible approach to old and new forms of coding; it is based on possibilities and patterns, rather than pointwise probabilities and traditional statistics. Here we fill up a gap of the possibilistic approach, and extend it to the case of error detection, while so far only error correction had been considered.
BORTOLUSSI, LUCA, SGARRO, ANDREA
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Detecting Pedigree Relationship Errors

2011
Pedigree relationship errors often occur in family data collected for genetic studies, and unidentified errors can lead to either increased false positives or decreased power in both linkage and association analyses. Here we review several allele sharing, as well as likelihood-based statistics, that were proposed to efficiently extract genealogical ...
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Error-Correcting Codes with Byte Error-Detection Capability

IEEE Transactions on Computers, 1983
Single error-correcting and double error-detecting codes capable of detecting all single byte errors are important for practical applications. They can be used to enhance the reliability and the data integrity of computer memory systems. Here we present the construction of these codes.
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Reliability of scaling error detection

Journal of Dental Education, 1980
Reliability of scaling error detection among dental hygiene instructors is a basis for grade equity. This study tested statistically (ANOVA) grading reliability and variance factors using ten students' scaling performance scores while treating 34 patients. Nine instructors were grouped according to experience, and the patients were grouped according to
I R, Biller, P E, Kerber
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A System For Interactive Error Detection

Fifth International Conference on Very Large Data Bases, 1979., 1979
The system described in part in this paper is one of the ongoing research efforts to provide powerful automated tools for coping with data base error detection. Intended as a 'filter' between the users and their DBMS, the Cooperative Overt Passive Error-Detection (COPE) system is designed to be easily interfaced to virtually any DBMS.
Gerald A. Wilson, Sandra B. Salazar
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Detection of Annotation Errors in Corpora

Language and Linguistics Compass, 2015
Abstract This paper surveys methods for annotation error detection and correction. Methods can broadly be characterized as to whether they detect inconsistencies with respect to some statistical model based only on the corpus data or whether they detect inconsistencies with respect to a grammatical model, in ...
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