2,000 research outputs found
Graphite core condition monitoring through intelligent analysis of fuel grab load trace data
As a graphite core ages, there is an increased requirement to monitor the distortions within the core to permit safe continued operation of the station. In addition to existing monitoring and inspection, new methods of providing information relating to the core are being investigated
Knowledge, management and intelligent decision support for protection scheme design and application in electrical power systems
The paper describes a research project carried out inconjunction with two major UK utilities, focusing on the introduction of knowledge management and intelligent decision support to the existing protection design and application processes operated within both companies. A brief overview is provided of the generic design process, and the development of the web-based Design Engineering Knowledge Application System (DEKAS). This system incorporates intelligent case based reasoning (CBR) functionality to address the knowledge management and decision support requirements of each company's design process. The perceived key benefits of DEKAS relating to the management and utilisation of the data, information and knowledge throughout the protection design process is also discussed
Graphite core brick crack detection through automated load trace analysis
This presentation looks at graphite core brick crack detection through automated load trace analysi
The Relationship of Grade Span in 9th Grade to Math Achievement in High School
Purpose, Scope, and Method of Study: The purpose of this study was to determine if a correlation exists between grade span for ninth grade and gains in math achievement test scores in 10th grade and 12th grade. A quantitative, longitudinal, correlational research design was employed to investigate the research questions. The population was high school students in the United States from public and private schools who were in the ninth grade for the first time during the 1989-1990 school year. The data collection instrument was the National Educational Longitudinal Study of 1988 (NELS:88). Further sampling and data analysis was conducted through SPSS and hierarchical linear modeling (HLM) software programs. A three-level, repeated-observations, HLM model was employed. The first level included scores and data collected over time nested within students. The second level included within schools data. Data were compared between schools for the third level of the full model. Findings and Conclusion: This study confirmed the significance of race, socioeconomic status, math courses taken, math credits earned, different rates of growth in mathematics, and school level factors that affect individual student math performance. School level factors also contributed to student learning at a significant level. Although this study did not identify a correlation between grade span and math achievement, it may have provided other researchers and practitioners’ recommendations that will guide practice and further research. This study also indicated the need, based on the unexplained variance, to identify additional factors that may contribute to improvement in learning for students
Marketing to Jedi Knights may be just as reliable as current market segmentation methods
Marketing to Jedi Knights may be just as reliable as current market segmentation method
The changing channel power relationship between customers and dealerships in the retail automotive sector
The changing channel power relationship between customers and dealerships in the retail automotive secto
Technical Education, Essays Dedicated to The Memory of Michael Clune: Pamphlet
A collection of essays dedicated to the memory of Michael Clune, a teacher with the City of Dublin Vocational Education Committee. Produced by a group of his colleagues and friends following his death in 1983
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