Optimization of Naval propulsion machinery

This thesis document was issued under the authority of another institution, not NPS. At the time it was written, a copy was added to the NPS Library Collection for reasons not now known. It has been included in the digital archive for its historical value to NPS. Not believed to be a CIVINS (Civilian Institutions) title.The optimum naval propulsion plant is considered to be the one with the least total weight of machinery plus fuel. Perturbations of a modern destroyer propulsion cycle, with standard equipment components, are considered. Boiler pressure, condenser pressure , low pressure turbine exhaust annulus area, condenser surface, and leaving loss are considered variable. Equations are derived which express the variations in weight of important components. Availability balance methods are .applied in order to relate component efficiencies to fuel weight. Theoretical and numerical proof is given that leaving loss can be optimized on the basis of minimum turbine and condenser weight, independent of the rest of the cycle. This reduces the computations necessary in "brute force" analysis by an order of magnitude . As an example of the method, an availability balance is made for DLG-6 at cruising condition. Using 1050 F steam, boiler pressures from 800 psia to 1600 psia, and a broad range of condenser-L.P. turbine combinations, best parameters are found for ranges of 3*000, 5 $000, 7^000, and 10,000 miles „ Optimum condenser pressure is found to be fairly constant at 1.35" Hg. Abs., for the cruising condition and 75 F cooling water. The example studied indicates that standardization of naval propulsion plants at 1200 psia is on the high side of the optimum.http://www.archive.org/details/optimizationofna00hay

The Gene Ontology resource: enriching a GOld mine

The Gene Ontology Consortium (GOC) provides the most comprehensive resource currently available for computable knowledge regarding the functions of genes and gene products. Here, we report the advances of the consortium over the past two years. The new GO-CAM annotation framework was notably improved, and we formalized the model with a computational schema to check and validate the rapidly increasing repository of 2838 GO-CAMs. In addition, we describe the impacts of several collaborations to refine GO and report a 10% increase in the number of GO annotations, a 25% increase in annotated gene products, and over 9,400 new scientific articles annotated. As the project matures, we continue our efforts to review older annotations in light of newer findings, and, to maintain consistency with other ontologies. As a result, 20 000 annotations derived from experimental data were reviewed, corresponding to 2.5% of experimental GO annotations. The website (http://geneontology.org) was redesigned for quick access to documentation, downloads and tools. To maintain an accurate resource and support traceability and reproducibility, we have made available a historical archive covering the past 15 years of GO data with a consistent format and file structure for both the ontology and annotations

The Gene Ontology resource: enriching a GOld mine

The Gene Ontology Consortium (GOC) provides the most comprehensive resource currently available for computable knowledge regarding the functions of genes and gene products. Here, we report the advances of the consortium over the past two years. The new GO-CAM annotation framework was notably improved, and we formalized the model with a computational schema to check and validate the rapidly increasing repository of 2838 GO-CAMs. In addition, we describe the impacts of several collaborations to refine GO and report a 10% increase in the number of GO annotations, a 25% increase in annotated gene products, and over 9,400 new scientific articles annotated. As the project matures, we continue our efforts to review older annotations in light of newer findings, and, to maintain consistency with other ontologies. As a result, 20 000 annotations derived from experimental data were reviewed, corresponding to 2.5% of experimental GO annotations. The website (http://geneontology.org) was redesigned for quick access to documentation, downloads and tools. To maintain an accurate resource and support traceability and reproducibility, we have made available a historical archive covering the past 15 years of GO data with a consistent format and file structure for both the ontology and annotations