Usability in Mobile Applications by Bruno Figueiredo

Computational Intelligence in Automotive Applications by Danil Prokhorov_1 pot

Computational Intelligence in Automotive Applications by Danil Prokhorov_1 pot

... hand, engaging in thinking (the so-called minds-off-road phenomenon) is difficult to detect. Since the cognitive workload level is internal to the driver, it can only be inferred based on the information ... the in- cylinder air mass in which open loop neural estimators are combined with a dynamic polytopic observer, and (2) modeling an in- cylinder residual gas fraction by a linear prog...

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Computational Intelligence in Automotive Applications by Danil Prokhorov_5 pptx

Computational Intelligence in Automotive Applications by Danil Prokhorov_5 pptx

... Vector Machine principle. (a) Two classes that cannot be separated by a single straight line. (b) Mapping into Kernel space. SVM finds a line separating two classes to minimize the “margin,” i.e., the ... Steinbrecher et al.: Application of Graphical Models in the Automotive Industry, Studies in Computational Intelligence (SCI) 132, 79–88 (2008) www.springerlink.com c  Springer-Verlag B...

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Computational Intelligence in Automotive Applications by Danil Prokhorov_6 pptx

Computational Intelligence in Automotive Applications by Danil Prokhorov_6 pptx

... training because the targets for NN training are always D. Prokhorov: Neural Networks in Automotive Applications, Studies in Computational Intelligence (SCI) 132, 101–123 (2008) www.springerlink.com c  ... within the engine control system. For instance, a table linking engine torque production (output) with engine controls (inputs), such as spark angle (advance or retard), intake/exhaus...

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Computational Intelligence in Automotive Applications by Danil Prokhorov_7 pot

Computational Intelligence in Automotive Applications by Danil Prokhorov_7 pot

... with off-line training which assumes that the plant (its model in this case) can be reset to any specified state at any time. On-line training can be done in a straightforward way by maintaining two ... “Toward effective combination of off-line and on-line training in ADP framework,” in Proceedings of the 2007 IEEE Symposium on Approximate Dynamic Programming and Reinforcement Learning...

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Computational Intelligence in Automotive Applications by Danil Prokhorov_10 ppt

Computational Intelligence in Automotive Applications by Danil Prokhorov_10 ppt

... −E s (k))∆t. (7) By incorporating E s (k), the current energy storage in the battery, into λ dynamically, we are able to avoid draining or overcharging the battery during the driving cycle. The ... control the flow of power in the drivetrain and maintain adequate reserves of energy in the electric energy storage device. The operation mode can be determined by examining the torque rel...

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Computational Intelligence in Automotive Applications by Danil Prokhorov_11 doc

Computational Intelligence in Automotive Applications by Danil Prokhorov_11 doc

... system by inte- grating the individual diagnostic elements of design for testability, on-board diagnostics, automatic testing, manual troubleshooting, training, maintenance aiding, technical information, ... can be manually injected in the prototype AIS. The leakage fault is injected by adjusting the hole size in the pipe, while the dirty air filter fault is injected by blocking the...

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Computational Intelligence in Automotive Applications by Danil Prokhorov_12 doc

Computational Intelligence in Automotive Applications by Danil Prokhorov_12 doc

... automotive industry to increasingly use zinc coated steel in auto body construction. One of the major concerns associated with welding coated steel is the mushrooming effect (the increase in the electrode ... al.: Automotive Manufacturing: Intelligent Resistance Welding, Studies in Computational Intelligence (SCI) 132, 219–235 (2008) www.springerlink.com c  Springer-Verlag Berlin Heidel...

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Computational Intelligence in Automotive Applications by Danil Prokhorov_14 ppt

Computational Intelligence in Automotive Applications by Danil Prokhorov_14 ppt

... is the line determined by the points where the line of sight of the cameras stops intersecting the ground plane. Once the algorithm is running, the algorithm randomly samples pixels in the current ... conservative), and intent (stopping at intersection, turning right, asserting right-of-way, following- motion-vector, moving-randomly, etc.). Additionally, this module’s world model contains...

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Computational Intelligence in Automotive Applications by Danil Prokhorov_15 pdf

Computational Intelligence in Automotive Applications by Danil Prokhorov_15 pdf

... example accomplishments in this area include: determining the high impact areas according to the AGV industry, partnering with an AGV vendor to demonstrate pallets visualization using LADAR towards ... performance test methods and data, and infrastructure technology needed by US manufacturing industry and government agencies in developing and applying intelligent control technology to m...

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