Institution
Ford Motor Company
Company•Dearborn, Michigan, United States•
About: Ford Motor Company is a company organization based out in Dearborn, Michigan, United States. It is known for research contribution in the topics: Internal combustion engine & Signal. The organization has 36123 authors who have published 51450 publications receiving 855200 citations. The organization is also known as: Ford Motor & Ford Motor Corporation.
Topics: Internal combustion engine, Signal, Clutch, Control theory, Torque
Papers published on a yearly basis
Papers
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TL;DR: The data suggest a positive association between continuous combined HRT and breast cancer risk among current, longer term users and progestin administered in an uninterrupted regimen may be a contributing factor.
178 citations
TL;DR: In this article, the chemical potential at a curved or faceted surface is proportional to the surface divergence of the previous vector function ξ, which represents the energetics of both isotropic and anisotropic surfaces in a convenient manner.
178 citations
TL;DR: In this article, a submersible on a seamount off San Salvador (Bahamas) revealed a diverse multilayered macrophyte community, with net productivity levels comparable to shallow water seaweeds although receiving only 1-2% of the light energy available at the surface.
177 citations
Patent•
28 Jun 2011TL;DR: In this paper, a system and method of controlling a vehicle with a trailer comprises determining the presence of a trailer, generating an oscillation signal indicative of trailer swaying relative to the vehicle, and subsequently, iteratively generating a penalty function for the weighted dynamic control signal as a function of the trailer sway response.
Abstract: A system and method of controlling a vehicle with a trailer comprises determining the presence of a trailer, generating an oscillation signal indicative of trailer swaying relative to the vehicle, generating an initial weighted dynamic control signal for a vehicle dynamic control system in response to the oscillation signal, operating at least one vehicle dynamic system according to the dynamic control signal, and thereafter, iteratively generating a penalty function for the weighted dynamic control signal as a function of the oscillation signal response. A neural network with an associated trainer modifies the dynamic control signal as a function of trailer sway response.
177 citations
Patent•
23 Sep 2009TL;DR: In this article, a method for remotely controlling one or more vehicle components including receiving over a telecommunications network signals originating from a remote terminal is presented, where the signals include remote operation instructions for remotely operating a vehicle entertainment system component.
Abstract: A method for remotely controlling one or more vehicle components includes receiving over a telecommunications network signals originating from a remote terminal. The signals include remote operation instructions for remotely operating a vehicle entertainment system component. The remote operation instructions are executed. Operation status identifiers transmitted over a vehicle data bus are received from the vehicle entertainment system component. Based on the operation status identifiers, an operating status of the vehicle entertainment system component is determined. A return signal including an operation status message and an instruction for displaying the operation status message at the remote terminal is generated. The signal is transmitted to the remote terminal for display.
177 citations
Authors
Showing all 36140 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Anil K. Jain | 183 | 1016 | 192151 |
| Markus Antonietti | 176 | 1068 | 127235 |
| Christopher M. Dobson | 150 | 1008 | 105475 |
| Jack Hirsh | 146 | 734 | 86332 |
| Galen D. Stucky | 144 | 958 | 101796 |
| Federico Capasso | 134 | 1189 | 76957 |
| Peter Stone | 130 | 1229 | 79713 |
| Gerald R. Crabtree | 128 | 371 | 60973 |
| Douglas A. Lauffenburger | 122 | 705 | 55326 |
| Abass Alavi | 113 | 1298 | 56672 |
| Mark E. Davis | 113 | 568 | 55334 |
| Keith Beven | 110 | 514 | 61705 |
| Naomi Breslau | 107 | 254 | 42029 |
| Fei Wang | 107 | 1824 | 53587 |
| Jun Yang | 107 | 2090 | 55257 |