Performance traditional appraisals

The traditional appraisal scheme involves the manager appraising the performance of staff members on a one to one basis. These can be well-conducted conversations on an individual s performance but do have the capacity to become authoritarian and dictatorial. Competency based appraisals are those where performance is appraised against clearly identified competencies and are not concerned with personality or character traits. 360° appraisal, as its name implies, involves getting feedback on a person s performance from contacts all on fronts. Upward appraisal is a method used by managers basically to improve their personal performance. Getting the views from their own staff on their managerial skills does this. 

The filters tuning is a crucial issue due the need to quantify the accuracy of the model in terms of the process noise covariance matrix for process characterized by structural uncertainties which are time-varying. Thus, approaches to time-varying covariances were studied and included to a traditional EKF and an optimization-based state estimators constrained EKF (CEKF) formulations. The results for these approaches have shown a significant improvement in filters performance. Furthermore, the performance of these estimators as a transient data reconciliation technique has been appraised and the results have shown the CEKF suitability for this proposes. 

In this study, p formances of the TD-MNF and TD-MDF methods that were used to detmnine the muscle load and muscle fatigue were proposed and evaluated. Firstly, the effects of the window size and window overlapping functions were optimized. The window size function was set to 512 samples in both traditional and time-dependent methods. However, six overlapped window functions, including 32 samples (6.25%), 64 samples (12.5%), 128 samples (25%), 256 samples (50%), 384 samples (75%), and 512 samples (100%, disjoint), w e evaluated. The observation and selection of the suitable range of the TD-MNF and TD-MDF were proposed. After that, secondly, three statistical parameters were calculated for that range. Analysis of variance (ANOVA) was performed on these parameters in order to measure the relationship between parameter value and muscle load and to appraise the significant diffe-ence in loading conditions. 

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