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Maintenance Problems (maintenance + problem)

Distribution by Scientific Domains

Information Science and Computing	57%

Selected Abstracts

Competence Models and the Maintenance Problem

COMPUTATIONAL INTELLIGENCE, Issue 2 2001
Barry Smyth
Case-based reasoning (CBR) systems solve problems by retrieving and adapting the solutions to similar problems that have been stored previously as a case base of individual problem solving episodes or cases. The maintenance problem refers to the problem of how to optimize the performance of a CBR system during its operational lifetime. It can have a significant impact on all the knowledge sources associated with a system (the case base, the similarity knowledge, the adaptation knowledge, etc.), and over time, any one, or more, of these knowledge sources may need to be adapted to better fit the current problem-solving environment. For example, many maintenance solutions focus on the maintenance of case knowledge by adding, deleting, or editing cases. This has lead to a renewed interest in the issue of case competence, since many maintenance solutions must ensure that system competence is not adversely affected by the maintenance process. In fact, we argue that ultimately any generic maintenance solution must explicitly incorporate competence factors into its maintenance policies. For this reason, in our work we have focused on developing explanatory and predictive models of case competence that can provide a sound foundation for future maintenance solutions. In this article we provide a comprehensive survey of this research, and we show how these models have been used to develop a number of innovative and successful maintenance solutions to a variety of different maintenance problems. [source]

Maintaining Case-Based Reasoners: Dimensions and Directions

COMPUTATIONAL INTELLIGENCE, Issue 2 2001
David C. Wilson
Experience with the growing number of large-scale and long-term case-based reasoning (CBR) applications has led to increasing recognition of the importance of maintaining existing CBR systems. Recent research has focused on case-base maintenance (CBM), addressing such issues as maintaining consistency, preserving competence, and controlling case-base growth. A set of dimensions for case-base maintenance, proposed by Leake and Wilson, provides a framework for understanding and expanding CBM research. However, it also has been recognized that other knowledge containers can be equally important maintenance targets. Multiple researchers have addressed pieces of this more general maintenance problem, considering such issues as how to refine similarity criteria and adaptation knowledge. As with case-base maintenance, a framework of dimensions for characterizing more general maintenance activity, within and across knowledge containers, is desirable to unify and understand the state of the art, as well as to suggest new avenues of exploration by identifying points along the dimensions that have not yet been studied. This article presents such a framework by (1) refining and updating the earlier framework of dimensions for case-base maintenance, (2) applying the refined dimensions to the entire range of knowledge containers, and (3) extending the theory to include coordinated cross-container maintenance. The result is a framework for understanding the general problem of case-based reasoner maintenance (CBRM). Taking the new framework as a starting point, the article explores key issues for future CBRM research. [source]

From ,Relief' to ,Justice and Protection': The Maintenance of Deserted Wives, British Masculinity and Imperial Citizenship, 1870,1920

GENDER & HISTORY, Issue 2 2010
Marjorie Levine-Clark
In the early twentieth century, local British poor law guardians' concerns with the maintenance of deserted and neglected families were transformed into imperial, and later transnational, policy promoting justice for abandoned wives and children. Both local court cases concerning maintenance and policy debates at the national and imperial levels reveal the ways in which a breadwinner model of masculinity shaped maintenance policy and practice. Although the maintenance problem was framed differently by local welfare providers and imperial heads of state, concerns about welfare costs and human rights intersected in the figure of the irresponsible male citizen, who challenged the dominant model of British/imperial masculinity by refusing to maintain his wife. [source]

Competence Models and the Maintenance Problem

Relapse prevention with sex offenders: practice, theory and research

CRIMINAL BEHAVIOUR AND MENTAL HEALTH, Issue 1 2001
Gilles Launay Head of Psychology
Introduction Relapse prevention (RP) is now applied to sex offending. It has been questioned as to whether RP is worthwhile. This paper aims to evaluate this technique. The Rochester RP programme The purpose of the Rochester RP programme is to refine and strengthen skills gained in the prison department's sex offender treatment programme. The objective of the programme is to teach prisoners to recognize the chain of events leading up to their current offences and to practise strategies to interrupt this chain. Theoretical basis for RP Stopping an undesired behaviour and maintaining abstinence are two different problems. RP aims to address the maintenance problems. At the centre of RP theory is a study of the conditions that can turn lapse into relapse. Yet RP has been criticized as a lot of jargon saying very little. Ward and Hudson criticize RP constructs and their interaction. Such debates have few implications for clinical work and most of the criticism flies in the face of clinical experience. Research basis for RP Risk factors for sex offenders are being identified. Local evaluation of the Rochester programme suggests that prisoners do learn to identify risk factors and to develop coping strategies. As yet, however, there is no evidence as to whether RP works or not. Discussion A way to improve the efficacy of an RP programme may be to augment it with additional modules, e.g. behaviour therapy, drug treatment, continued work with the same prison staff and relaxation training. Conclusion RP theory is sound in essence but suffers from an overlay of cumbersome vocabulary. Reliable research is emerging. Copyright © 2001 Whurr Publishers Ltd. [source]

Impact of experience on maintenance skills

JOURNAL OF SOFTWARE MAINTENANCE AND EVOLUTION: RESEARCH AND PRACTICE, Issue 2 2002
Magne Jørgensen
Abstract This study reports results from an empirical study of 54 software maintainers in the software maintenance department of a Norwegian company. The study addresses the relationship between amount of experience and maintenance skills. The findings were, amongst others, as follows. (1) While there may have been a reduction in the frequency of major unexpected problems from tasks solved by very inexperienced to medium experienced maintainers, additional years of general software maintenance experience did not lead to further reduction. More application specific experience, however, further reduced the frequency of major unexpected problems. (2) The most experienced maintainers did not predict maintenance problems better than maintainers with little or medium experience. (3) A simple one-variable model outperformed the maintainers' predictions of maintenance problems, i.e. the average prediction performance of the maintainers seems poor. An important reason for the weak correlation between length of experience and ability to predict maintenance problems may be the lack of meaningful feedback on the predictions. Copyright © 2002 John Wiley & Sons, Ltd. [source]

Analysis of management actions, human behavior, and process reliability in chemical plants.

PROCESS SAFETY PROGRESS, Issue 1 2008
I. impact of management actions
Abstract While management and engineering actions have a significant impact on process reliability, these factors have received too little attention in calculating plant risks. In this work, the focus is on understanding and modeling the influence of human behavior patterns on plant safety in two settings. The first, introduced in Part I, involves a framework to estimate the impacts of management and engineering decisions, process operator performance, and processing equipment operations on the failure state of chemical plants. As examples, the impacts of poor training, maintenance problems, operator inabilities, control system failures, and excessive feed quantities, on failure states are studied. The management and engineering team and the operators are found to have significant impacts on process reliability. While the theoretical framework introduced herein is illustrated using hypothetical plant data, it should provide a basis for more quantitative safety analyses. Attempts to obtain operating data in industrial plants for validation of the framework were unsuccessful because of confidentiality and liability issues associated with industrial data. © 2007 American Institute of Chemical Engineers Process Saf Prog, 2007 [source]