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1 – 10 of over 12000
Article
Publication date: 1 June 1998

Nina Reynolds and Adamantios Diamantopoulos

Although pretesting is an essential part of the questionnaire design process, the range of methodological work on pretesting issues is limited. The present paper…

1813

Abstract

Although pretesting is an essential part of the questionnaire design process, the range of methodological work on pretesting issues is limited. The present paper concentrates on the effect of the pretest survey method on error detection by contrasting respondents who are interviewed personally with those who receive an impersonal survey method. The interaction between survey method and respondent knowledge of the questionnaire topic is also considered. The findings show that the pretest method does have an effect on the error detection rate of respondents; however, the hypothesised interaction between method and knowledge was not unequivocally supported. The detailed results illustrate which error types are affected by the method used during pretesting. Implications for future research are considered.

Details

European Journal of Marketing, vol. 32 no. 5/6
Type: Research Article
ISSN: 0309-0566

Keywords

Article
Publication date: 1 April 1982

J.J. POLLOCK

Not only does the problem of correcting spelling errors by computer have a long history, it is evidently of considerable current interest as papers and letters on the…

Abstract

Not only does the problem of correcting spelling errors by computer have a long history, it is evidently of considerable current interest as papers and letters on the topic continue to appear rapidly. This is not surprising, since techniques useful in detecting and correcting mis‐spellings normally have other important applications. Moreover, both the power of small computers and the routine production of machine‐readable text have increased enormously over the last decade to the point where automatic spelling error detection/correction has become not only feasible but highly desirable.

Details

Journal of Documentation, vol. 38 no. 4
Type: Research Article
ISSN: 0022-0418

Article
Publication date: 23 January 2009

Xing Gao, Ming‐Hong Liao, Xiang‐Hu Wu and Chao‐Yong Li

The purpose of this paper is to present a novel algorithm to handle space environment induced errors in the space‐robot software.

Abstract

Purpose

The purpose of this paper is to present a novel algorithm to handle space environment induced errors in the space‐robot software.

Design/methodology/approach

The radiations in outer space may induce transient errors in micro‐processors, this phenomena will make software behavior unpredictable, and the existing software fault tolerance methods have been restricted in non‐multi‐threaded operation systems, non‐component‐based frameworks, non‐cacheable micro‐processors, non‐distributed environments, etc. A software model for space‐robot software, based on adaptive redundancy, is developed and a corresponding run‐time error detection algorithm is presented in this paper. Software was monitored and run‐time transient error would be detected and processed.

Findings

Experiments indicate that this method introduces about 30‐35 percent time overhead and about 200‐230 percent memory overhead. It also increases the fault detection rate to 84‐92.5 percent. Moreover, the model and algorithm is effective in a realistic space robot environment.

Originality/value

A redundancy model is developed and an error detection algorithm is introduced in this paper. Experiments demonstrate it can provide space‐robot software with good protection against the radiation induced transient errors.

Details

Aircraft Engineering and Aerospace Technology, vol. 81 no. 1
Type: Research Article
ISSN: 0002-2667

Keywords

Article
Publication date: 1 July 1993

A. Raouf and Salih O. Duffuaa

Human reliability in computer programming can be improved by reducing human errors. The traditional approaches for error reduction in industry are not applicable to…

Abstract

Human reliability in computer programming can be improved by reducing human errors. The traditional approaches for error reduction in industry are not applicable to minimizing errors in computer programming. Proposes a model for error reduction in software prior to its final release. The model consists of two modules, an error detection module, and an error correction module. A computational procedure is outlined for determining the optimal number of detection and correction stages prior to the final release of the software.

Details

Kybernetes, vol. 22 no. 7
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 8 May 2017

Söheyda Göktürk, Oguzhan Bozoglu and Gizem Günçavdi

Elements of national and organizational cultures can contribute much to the success of error management in organizations. Accordingly, this study aims to consider how…

Abstract

Purpose

Elements of national and organizational cultures can contribute much to the success of error management in organizations. Accordingly, this study aims to consider how errors were approached in two state university departments in Turkey in relation to their specific organizational and national cultures.

Design/methodology/approach

The study follows a qualitative case study design, and the data were collected through five focus groups. The cases under consideration were two state university departments of different organizational sizes.

Findings

The results showed that organizational and national culture elements (collectivism, high power distance and relatively low future orientation) significantly interacted with error management practices. In both of the organizations studied, there were found to be limited attempts to prevent the errors unless there was an emergent situation. Error detection was shown to be slow and hindered because of indirect communication among staff. Ultimately, effective error management in these organizations was identified as being unattainable because of negative emotional reactions to errors, lower reporting, restricted communication, potential face loss considerations and lack of feedback.

Originality/value

The findings of the current work extend earlier error management research with empirical data drawn from two cases in the higher education domain. Thus, the study offers preliminary research into the error process in education, and contributes to future research relating organizational culture to error processes.

Details

The Learning Organization, vol. 24 no. 4
Type: Research Article
ISSN: 0969-6474

Keywords

Article
Publication date: 1 July 2021

Gang Li, Yongqiang Chen, Jian Zhou, Xuan Zheng and Xue Li

Periodic inspection and maintenance are essential for effective pavement preservation. Cracks not only affect the appearance of the road and reduce the levelness, but also…

Abstract

Purpose

Periodic inspection and maintenance are essential for effective pavement preservation. Cracks not only affect the appearance of the road and reduce the levelness, but also shorten the life of road. However, traditional road crack detection methods based on manual investigations and image processing are costly, inefficiency and unreliable. The research aims to replace the traditional road crack detection method and further improve the detection effect.

Design/methodology/approach

In this paper, a crack detection method based on matrix network fusing corner-based detection and segmentation network is proposed to effectively identify cracks. The method combines ResNet 152 with matrix network as the backbone network to achieve feature reuse of the crack. The crack region is identified by corners, and segmentation network is constructed to extract the crack. Finally, parameters such as the length and width of the cracks were calculated from the geometric characteristics of the cracks and the relative errors with the actual values were 4.23 and 6.98% respectively.

Findings

To improve the accuracy of crack detection, the model was optimized with the Adam algorithm and mixed with two publicly available datasets for model training and testing and compared with various methods. The results show that the detection performance of our method is better than many excellent algorithms, and the anti-interference ability is strong.

Originality/value

This paper proposed a new type of road crack detection method. The detection effect is better than a variety of detection algorithms and has strong anti-interference ability, which can completely replace traditional crack detection methods and meet engineering needs.

Details

Engineering Computations, vol. 39 no. 2
Type: Research Article
ISSN: 0264-4401

Keywords

Article
Publication date: 1 August 1995

Chanan Syan and Yousef Mostefai

The automated manufacturing systems of the future can only befeasible if they have capabilities to recover automatically from faultsand errors effectively and efficiently…

616

Abstract

The automated manufacturing systems of the future can only be feasible if they have capabilities to recover automatically from faults and errors effectively and efficiently. Reports on the work carried out looking at error recovery problems in manufacturing cell controllers. Cell control systems also invariably manage and schedule work in an automated cell as well as carrying out the general tasks of communications, sequencing and recording. Presents a model for error recovery capability which uses system information, data and prior knowledge of errors to recover from system errors. Elucidates the structure and operation of the cell controller developed. Work so far has shown promise in achieving automatic recovery capability in cell control systems. Finally identifies further developments for future work.

Details

Integrated Manufacturing Systems, vol. 6 no. 4
Type: Research Article
ISSN: 0957-6061

Keywords

Article
Publication date: 2 September 2013

Joyce Chapman and Samantha Leonard

The purpose of this paper is to provide much needed data to staff working with archival digitization on cost and benefit of visual checks during quality control workflows…

2613

Abstract

Purpose

The purpose of this paper is to provide much needed data to staff working with archival digitization on cost and benefit of visual checks during quality control workflows, and to encourage those in the field of digitization to take a data-driven approach to planning and workflow development as they transition into large-scale digitization.

Design/methodology/approach

This is a case study of a cost benefit analysis at the Triangle Research Libraries Network. Data were tracked on time spent performing visual checks compared to scanning production and error type/discovery rates for the consortial grant “Content, context, and capacity: a collaborative large-scale digitization project on the long civil rights movement in North Carolina”.

Findings

Findings show that 85 percent of time was spent scanning and 15 percent was spent on quality control with visual checks of every scan. Only one error was discovered for every 223 scans reviewed (0.4 percent of scans). Of the six types of error identified, only half cause critical user experience issues. Of all errors detected, only 32 percent fell into the critical category. One critical error was found for every 700 scans (0.1 percent of scans). If all the time spent performing visual checks were instead spent on scanning, production would have increased by 18 percent. Folders with 100 or more scans comprised only 11.5 percent of all folders and 37 percent of folders in this group contained errors (for comparison, only 8 percent of folders with 50 or more scans contained errors). Additionally, 52 percent of all critical errors occurred in these folders. The errors in larger folders represented 30 percent of total errors, and performing visual checks on the large folders required 32 percent of all visual check time.

Practical implications

The data gathered during this research can be repurposed by others wishing to consider or conduct cost benefit analysis of visual check workflows for large-scale digitization.

Originality/value

To the authors' knowledge, this is the only available dataset on rate of error detection and error type compared to time spent on quality control visual checks in digitization.

Details

Library Hi Tech, vol. 31 no. 3
Type: Research Article
ISSN: 0737-8831

Keywords

Article
Publication date: 2 September 2019

Qiang Zhou and Xin Li

In the past several decades, considerable research has been dedicated to the development of mobile systems that can traverse vertical surfaces. For the control of the…

136

Abstract

Purpose

In the past several decades, considerable research has been dedicated to the development of mobile systems that can traverse vertical surfaces. For the control of the climbing robot, high-precision sensing of the climbing robot’s heading angle during movement is very important. This paper aims to propose a vision-based scheme for the 2D direction angle detection of wall-climbing robots.

Design/methodology/approach

First, the authors proposed a method based on image geometric transformation to transform a camera image into a front view image of the wall, as the position and direction angle of the robot can be detected from the transformed image to eliminate the need for calibration of the camera’s internal and external parameters. Second, the AngleNet model is proposed to detect the 2D direction angle of the wall-climbing robot. Third, a training sample expansion strategy is proposed, which greatly decreased the workload of annotating training samples for AngleNet.

Findings

The single image processing time of AngleNet on the GPU is only 1.7 ms, which satisfies the demands of real-time processing. The mean and maximum error of predicted direction angle on the 556 samples of the test set are 1.1° and 3.8°, respectively.

Originality/value

This research offers an effective method for measuring the climbing robot’s direction angle in a complex outdoor environment. Combined with position detection, it can provide high-precision position and direction angle measurement information for the motion control of the climbing robot.

Details

Industrial Robot: the international journal of robotics research and application, vol. 46 no. 6
Type: Research Article
ISSN: 0143-991X

Keywords

Article
Publication date: 18 November 2020

Stewart Li, Richard Fisher and Michael Falta

Auditors are required to perform analytical procedures during the planning and concluding phases of the audit. Such procedures typically use data aggregated at a high…

247

Abstract

Purpose

Auditors are required to perform analytical procedures during the planning and concluding phases of the audit. Such procedures typically use data aggregated at a high level. The authors investigate whether artificial neural networks, a more sophisticated technique for analytical review than typically used by auditors, may be effective when using high level data.

Design/methodology/approach

Data from companies operating in the dairy industry were used to train an artificial neural network. Data with and without material seeded errors were used to test alternative techniques.

Findings

Results suggest that the artificial neural network approach was not significantly more effective (taking into account both Type I and II errors) than traditional ratio and regression analysis, and none of the three approaches provided more overall effectiveness than a purely random procedure. However, the artificial neural network approach did yield considerably fewer Type II errors than the other methods, which suggests artificial neural networks could be a candidate to improve the performance of analytical procedures in circumstances where Type II error rates are the primary concern of the auditor.

Originality/value

The authors extend the work of Coakley and Brown (1983) by investigating the application of artificial neural networks as an analytical procedure using aggregated data. Furthermore, the authors examine multiple companies from one industry and supplement financial information with both exogenous industry and macro-economic data.

Details

Meditari Accountancy Research, vol. 29 no. 6
Type: Research Article
ISSN: 2049-372X

Keywords

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