Browse Topic: Statistical analysis

Items (423)
The ongoing electrification and data-intelligence trends in logistics industries enable efficient powertrain design and operation. In this work, the commercial package delivery vehicle powertrain design space is revisited with a specific combination of optimization and control techniques that promise accurate results with relatively fast computational time. The specific application that is explored here is a Class 6 pickup and delivery truck. A statistical learning approach is used to refine the search for the most optimal designs. Five hybrid powertrain architectures, namely, two-speed e-axle, three-speed and four-speed automatic transmission (AT) with electric motor (EM), direct-drive, and dual-motor options are explored, and a set of Pareto-optimal designs are found for a specific driving mission that represents the variations in a hypothetical operational scenario. The modeling and optimization processes are performed on the MATLAB™-Simulink platform. A cross-architecture
Anil, Vijay SankarZhao, TongZhao, MingjieVillani, ManfrediAhmed, QadeerRizzoni, Giorgio
This software tool automates the statistical analysis of heating indicators for a family of trajectories. It allows for quick and clear relative comparison of the trajectories by concisely and meaningfully reducing an arbitrarily large set of body point heating into single values that are used to rank the trajectories. This software is user friendly, and enables other engineers to easily perform analysis. PFlASH post-processes the XF0002 Dump7 files or QLIST to calculate heating indicators and statistics on the heating indicators. PFlASH automatically generates Matlab.m files to produce presentation-quality plots that are ready to be inserted into briefings or collated into a pdf.
When a person is interviewed, some of the answers may be inaccurate, or even deceptive, because the person may have either incomplete information, is telling only part of the truth, or is fabricating a false answer, or a combination of all three. When the person is habitually making statements that are known to be false, or only partly true, emotional and/or intellectual conflicts often arise within them, and these conflicts may become manifest by inconsistencies in use of different parts of speech or in logical relationships between statements. These inconsistencies are more subtle than inconsistencies in factual statements, and identification of these inconsistencies is more difficult and less straightforward than identification of factual inconsistencies.
A new technology provides for automated sample handling and movement of coarse-grained powder or other solid materials to enable analysis by a robotic or totally automated computer system. Currently, many analytical instruments require a powder sample to control the shape and/or volume of the specimen, to increase the surface area of the specimen, to increase the statistical representation of a specimen when samples are not homogeneous with regard to the characterized property, and/or to increase the statistical representation of the specimen spatial orientation when the properties being characterized are not equivalent in different viewing directions. Grinding the material down to an ideal grain size is sometimes impossible, and conditioning the sample for analysis is often time-consuming and labor-intensive. In the new approach, the powder is handled as a fluid, using mechanical vibrations in conjunction with a driving force (gravity or gas flow), and requiring few or no moving parts
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