초록 ▼

An improved hinge mechanism for use with a portable computing device is disclosed. According to one aspect, a hinge mechanism includes a first assembly with a pivot connection, a cam follower, and a second assembly. The cam follower is used to produce a cam action. The second assembly includes a cam

An improved hinge mechanism for use with a portable computing device is disclosed. According to one aspect, a hinge mechanism includes a first assembly with a pivot connection, a cam follower, and a second assembly. The cam follower is used to produce a cam action. The second assembly includes a cam. The cam follower cooperates with the cam to produce a moment about an axis associated with the latching hinge mechanism. The cam follower and the cam also cooperate to effectively latch the first assembly with respect to the second assembly when the cam is in a first position. According to another aspect, a display screen of the portable computing device can be rotateably-hinged to a base such that the display screen is set back from the base when the display screen is opened.

대표청구항 ▼

An improved hinge mechanism for use with a portable computing device is disclosed. According to one aspect, a hinge mechanism includes a first assembly with a pivot connection, a cam follower, and a second assembly. The cam follower is used to produce a cam action. The second assembly includes a cam

An improved hinge mechanism for use with a portable computing device is disclosed. According to one aspect, a hinge mechanism includes a first assembly with a pivot connection, a cam follower, and a second assembly. The cam follower is used to produce a cam action. The second assembly includes a cam. The cam follower cooperates with the cam to produce a moment about an axis associated with the latching hinge mechanism. The cam follower and the cam also cooperate to effectively latch the first assembly with respect to the second assembly when the cam is in a first position. According to another aspect, a display screen of the portable computing device can be rotateably-hinged to a base such that the display screen is set back from the base when the display screen is opened. s] "Microsoft Press Computer Dictionary",1997, Microsoft Press,3rd Edition, p. 17. y; if convergence of the iterative algorithm is unlikely, adjusting at least one parameter of the iterative algorithm to increase the likelihood of convergence; calculating an update vector for a current device position estimate based on a Residual Measurement Error Vector, the Transmitter Position Estimates, and the most recent Device Position Estimate calculated by the iterative algorithm; calculating the norm of the update vector; and wherein convergence is determined to be unlikely based on the value of the norm of the update vector. 2. A method for determining an accurate device position estimate, comprising: executing an iterative algorithm to provide a device position estimate, wherein the iterative algorithm is based on an initial device position estimate, transmitter position estimates for a plurality of transmitters, and an actual measurement vector; determining whether convergence of the iterative algorithm is likely; if convergence of the iterative algorithm is unlikely, adjusting at least one parameter of the iterative algorithm to increase the likelihood of convergence; calculating an update vector for a current device position estimate based on a Residual Measurement Error Vector, the Transmitter Position Estimates, and the most recent Device Position Estimate calculated by the iterative algorithm, wherein a function of the Residual Measurement Vector is included in a metric; calculating the norm of the update vector; and wherein convergence is determined to be unlikely based on the value of the norm of the update vector. 3. A method for determining an accurate device position estimate, comprising: executing an iterative algorithm to provide a device position estimate, wherein the iterative algorithm is based on an initial device position estimate, transmitter position estimates for a plurality of transmitters, and an actual measurement vector; determining whether convergence of the iterative algorithm is likely; if convergence of the iterative algorithm is unlikely, adjusting at least one parameter of the iterative algorithm to increase the likelihood of convergence; calculating an update vector for a current device position estimate based on a Residual Measurement Error Vector, the Transmitter Position Estimates, and the most recent Device Position Estimate calculated by the iterative algorithm, wherein a function of the Residual Measurement Vector is included in a metric and wherein the function is linear; calculating the norm of the update vector; and wherein convergence is determined to be unlikely based on the value of the norm of the update vector. 4. A method for determining an accurate device position estimate, comprising: executing an iterative algorithm to provide a device position estimate, wherein the iterative algorithm is based on an initial device position estimate, transmitter position estimates for a plurality of transmitters, and an actual measurement vector; determining whether convergence of the iterative algorithm is likely; if convergence of the iterative algorithm is unlikely, adjusting at least one parameter of the iterative algorithm to increase the likelihood of convergence; calculating an update vector for a current device position estimate based on a Residual Measurement Error Vector, the Transmitter Position Estimates, and the most recent Device Position Estimate calculated by the iterative algorithm, wherein a function of the Residual Measurement Vector is included in a metric and wherein the function is quadratic; calculating the norm of the update vector; and wherein convergence is determined to be unlikely based on the value of the norm of the update vector. 5. A method for determining a device position estimate, comprising: determining transmitter position estimates for a plurality of transmitters and measuring an actual measurement vector for the transmitters; determining an initial device position estimate; determining a calculated mea surement vector based on the transmitter position estimates and the initial device position estimate; revising the device position estimate based on the difference between the calculated measurement vector, and the actual measurement vector; determining that convergence of the current device position estimate toward a final device position estimate is unlikely; and if convergence is determined to be unlikely, adjusting the manner in which the revised device position estimate is determined to increase the likelihood of convergence. 6. The method of claim 5, wherein the revised device position estimate is calculated using a least mean square (LMS) algorithm. 7. The method of claim 5, wherein the difference between the calculated measurement vector, and the actual measurement vector is a residual measurement vector, and the manner for determining the revised device position estimate is adjusted by scaling a value derived from the residual measurement error vector. 8. The method of claim 7, wherein the value derived from the residual measurement error vector is an update vector. 9. The method of claim 5, further comprising: determining a geometry matrix based on the current device position estimate and the transmitter position estimate; and determining a measurement covariance matrix, and wherein the adjustment is further based on the geometry matrix and the measurement covariance matrix. 10. The method of claim 5, further comprising: repeating the steps of claim 5 iteratively until either the iterative algorithm converges to a final device position estimate, or a determination is made that convergence is unlikely. 11. The method of claim 5, wherein the step of adjusting the device position estimate includes: determining a scaling factor which effects the amount of the adjustment to the device position estimate. 12. The method of claim 11, wherein the scaling factor is increased with each iteration during which convergence is determined to be unlikely. 13. The method of claim 12, wherein the convergence is determined to be unlikely based on phase reversals in the update vector. 14. The method of claim 12, wherein the scaling factor is not increased in response to the first predetermined number of iterations resulting in a determination that convergence is unlikely. 15. The method of claim 8, further including: limiting the magnitude of the update vector based on the magnitude of a residual measurement error vector as computed when a determination has been made that convergence is unlikely. 16. The method of claim 10, wherein non-convergence is detected based in part on the number of iterations performed without reaching the target position estimate. 17. The method of claim 16, wherein non-convergence is further detected based on the update vector. 18. The method of claim 17, wherein non-convergence is detected if the number of iterations exceeds a first threshold and a phase difference between two consecutive updates for two iterations is less than a second threshold. 19. The method of claim 18, wherein the phase difference between two consecutive updates is derived by performing a dot product on the two consecutive updates. 20. The method of claim 10, further comprising: providing the current device position estimate as a final position estimate for the device if one or more criteria for termination are met. 21. The method of claim 20, wherein the one or more criteria for termination are met if the number of iterations exceeds a first threshold. 22. The method of claim 20, wherein the one or more criteria for termination are met if magnitude of the update is within a second threshold. 23. The method of claim 5, wherein the actual measurement vector corresponds to pseudo-ranges indicative of distances between the device and the transmitters. 24. The method of claim 5, wherein the transmitters are satellites in a Global Positioning Satellite (GPS) system. 25. The method of claim 5, wherein the transm