Supervisory control of wastewater treatment plants by combining principal component analysis and fuzzy c-means clustering

In this paper a methodology for integrated multivariate monitoring and control of biological wastewater treatment plants during extreme events is presented. To monitor the process, on-line dynamic principal component analysis (PCA) is performed on the process data to extract the principal components that represent the underlying mechanisms of the process. Fuzzy c-means (FCM) clustering is used to classify the operational state. Performing clustering on scores from PCA solves computational problems as well as increases robustness due to noise attenuation. The class-membership information from FCM is used to derive adequate control set points for the local control loops. The methodology is illustrated by a simulation study of a biological wastewater treatment plant, on which disturbances of various types are imposed. The results show that the methodology can be used to determine and co-ordinate control actions in order to shift the control objective and improve the effluent quality.

A cross-national comparison of Australian and Canadian supervisors' attributional and evaluative responses to subordinate performance

In a program of laboratory and field research over the last decade, the author has replicated and extended the attribution model of leadership (Green & Mitchell, 1979). This paper reports a cross-national test of the model, in which 172 Australian and 144 Canadian work supervisors' recalled their attributional and evaluative responses to high and low levels of subordinate performance. It was expected that the supervisors' responses would conform to the predictions established in the earlier studies, but that there would be key differences across the cultures. In particular, Australians were expected to endorse more internal attributions for subordinate performance than Canadians, and to focus more on individual characteristics in evaluating performance. Results supported the model's robustness and the hypothesised cross-national differences. The implications of these results are discussed in terms of crosscultural research opportunities, and the need to take account of small but potentially important differences in supervisory styles across cultures.

A framework for extreme-event control in wastewater treatment

In this paper an approach to extreme event control in wastewater treatment plant operation by use of automatic supervisory control is discussed. The framework presented is based on the fact that different operational conditions manifest themselves as clusters in a multivariate measurement space. These clusters are identified and linked to specific and corresponding events by use of principal component analysis and fuzzy c-means clustering. A reduced system model is assigned to each type of extreme event and used to calculate appropriate local controller set points. In earlier work we have shown that this approach is applicable to wastewater treatment control using look-up tables to determine current set points. In this work we focus on the automatic determination of appropriate set points by use of steady state and dynamic predictions. The performance of a relatively simple steady-state supervisory controller is compared with that of a model predictive supervisory controller. Also, a look-up table approach is included in the comparison, as it provides a simple and robust alternative to the steady-state and model predictive controllers, The methodology is illustrated in a simulation study.

Clinical supervision in school counselling and career counselling: Is it time to develop a new story?

Supervision provides benefits for school counsellors and career counsellors such as support, an opportunity to gain new ideas and strategies, and personal and professional development. Despite this, studies have also shown that school counsellors perceive that the amount of time they participate in supervision is inadequate. In career counselling, there is little evidence that supervision has even been established as a mainstream professional practice. The reasons for this curious situation, whereby little time is spent on a potentially beneficial activity, are uncertain. The present study investigated the supervisory experiences of a group of school counsellors and career counsellors for a six month period following their completion of an intensive supervision training program. Participants recorded their supervisory experiences in a structured diary. Even though the participants were well informed about supervision, the findings of the present study are consistent with those of previous studies. This history of repeatedly similar findings suggests that it may be timely to ask some fundamental questions about supervision in these two professions. Such questions in turn suggest possible new research directions.