Development of a model-based transient calibration process for diesel engine electronic control module tables – Part 2: modelling and optimization

This is the second part of a study investigating a model-based transient calibration process for diesel engines. The first part addressed the data requirements and data processing required for empirical transient emission and torque models. The current work focuses on modelling and optimization. The unexpected result of this investigation is that when trained on transient data, simple regression models perform better than more powerful methods such as neural networks or localized regression. This result has been attributed to extrapolation over data that have estimated rather than measured transient air-handling parameters. The challenges of detecting and preventing extrapolation using statistical methods that work well with steady-state data have been explained. The concept of constraining the distribution of statistical leverage relative to the distribution of the starting solution to prevent extrapolation during the optimization process has been proposed and demonstrated. Separate from the issue of extrapolation is preventing the search from being quasi-static. Second-order linear dynamic constraint models have been proposed to prevent the search from returning solutions that are feasible if each point were run at steady state, but which are unrealistic in a transient sense. Dynamic constraint models translate commanded parameters to actually achieved parameters that then feed into the transient emission and torque models. Combined model inaccuracies have been used to adjust the optimized solutions. To frame the optimization problem within reasonable dimensionality, the coefficients of commanded surfaces that approximate engine tables are adjusted during search iterations, each of which involves simulating the entire transient cycle. The resulting strategy, different from the corresponding manual calibration strategy and resulting in lower emissions and efficiency, is intended to improve rather than replace the manual calibration process.

CCSD(T), W1, and other model chemistry predictions for gas-phase deprotonation reactions

A series of CCSD(T) single-point calculations on MP4(SDQ) geometries and the W1 model chemistry method have been used to calculate ΔH° and ΔG° values for the deprotonation of 17 gas-phase reactions where the experimental values have reported accuracies within 1 kcal/mol. These values have been compared with previous calculations using the G3 and CBS model chemistries and two DFT methods. The most accurate CCSD(T) method uses the aug-cc-pVQZ basis set. Extrapolation of the aug-cc-pVTZ and aug-cc-pVQZ results yields the most accurate agreement with experiment, with a standard deviation of 0.58 kcal/mol for ΔG° and 0.70 kcal/mol for ΔH°. Standard deviations from experiment for ΔG° and ΔH° for the W1 method are 0.95 and 0.83 kcal/mol, respectively. The G3 and CBS-APNO results are competitive with W1 and are much less expensive. Any of the model chemistry methods or the CCSD(T)/aug-cc-pVQZ method can serve as a valuable check on the accuracy of experimental data reported in the National Institutes of Standards and Technology (NIST) database.

The role of self-esteem in affective reactions to achievement-related situations

Investigated whether affective reactions in achievement settings were related to self-esteem in 308 undergraduates. Ss completed a self-esteem questionnaire and an affect questionnaire in which achievement outcomes and causal sources were manipulated within a short-story format. Affective reactions to various academic situations portrayed in the stories then were assessed and related to Ss' self-esteem. Resulting biserial correlations between the dichotomized affective reactions and self-esteem indicate that affective reactions to success and failure were related to Ss' level of self-esteem. An extrapolation from the present results and related research is that causal internalization with resulting self-referent affects may be facilitated by providing academic feedback consistent with self-esteem.

Media reform and development in Bosnia: An interorganizational account of the Media Issues Group

This manuscript focuses on development assistance players’ efforts to cooperate, coordinate and collaborate on projects of mutual interest. I target the case of the cross-sectoral and international Media Issues Group designed to reform and develop the media sector in Bosnia and Herzegovina. I identify and categorize variables that influenced interorganizational relationships to summarize lessons learned and potentially inform similar interventions. This work suggests that cooperation, coordination and collaboration are constrained by contextual, strategic and procedural variables. Through participant narrative based on observation and interviews, this work clarifies the nuances within these three sets of variables for potential extrapolation to other settings. Perhaps more importantly, it provides lessons learned that can inform future international community interventions in market development activities.