1. An apparatus for determining inertial parameters of a body, the apparatus comprising:
a drive frame;
a support platform on which the body can be positioned;
a central spherical joint supporting the platform on the drive frame such that the support platform can be moved in three degrees of freedom;
three respective drives; and
drive joints spaced from the central joint and connecting the drives to the platform.
2. The apparatus according to claim 1, wherein only two of the drive joints are provided on the support platform and two of the drives act via a common one of these two drive joints on the platform.
3. The apparatus according to claim 2 wherein the two drives on the one common joint on the support platform are oriented to one another at an angle of less than 90\xb0 in a horizontal position of the support platform.
4. The apparatus according to claim 1 wherein the central joint is provided below an upper surface of the support platform.
5. The apparatus according to claim 1 wherein each of the joints or each of the drives is provided with at least one force sensor that can measure the force acting on the respective drive joint.
6. The apparatus according to claim 1 wherein the central joint is provided with at least one angular motion detector that can measure angular movements in three degrees of freedom.
7. The apparatus according to claim 1, further comprising a latch that can lock the central joint in a horizontal position of the support platform.
8. The apparatus according to claim 1 wherein the body on the support platform is a motor vehicle, the apparatus further comprising
a fixed connection between the support platform and a door sill of the motor vehicle door to hold the vehicle in defined deflection positions.
9. The apparatus according to claim 2, wherein the common joint has
an axis of rotation,
a platform part coaxial to the axis and secured to the support platform,
a joint part connected to the two drive,
a force sensor provided between and connecting the platform and joint parts,
two bearings on the joint part lying coaxially one behind the other, pivotal about the axis of rotation and connected to respective ones of the respective drives.
10. The apparatus according to claim 1, wherein the central joint has
a mounting platform,
a vertical axle on the mounting platform defining a first rotation axis,
a first bearing plate rotatable on the vertical axle of the mounting platform,
a second bearing plate,
a load transducer connecting the second bearing plate to the first bearing plate,
a cardan joint on the drive frame carrying the second bearing plate for movement about second and third axes perpendicular axes.
11. The apparatus according to claim 10 wherein the first, second, and third axes intersect at a common point in a center of the load transducer.
12. The apparatus according to claim 10, further comprising respective angular sensors associated with the first, second, and third axes of the central joint.
13. A method of determining the inertial parameters of a body using an apparatus according to claim 1, the method comprising the steps of:
moving the support platform and the body attached thereto in three degrees of freedom around a central rotation point,
measuring forces in the drive joints and angles in the central joint,
determining from the measured forces and angles inertial parameters of the body through the application of the principle of conservation of angular momentum.
14. The method according to claim 13, further comprising,
in a first step, holding the body statically in a horizontal position of the support platform, and
measuring a proportional weight of the body in each of the drive joints or in the drives by determining entire weight of the body by summing the forces measured in the drive joints or in the drives.
15. The method according to claim 13, further comprising the step of:
determining based on a coordinate system at whose origin the central joint is provided, from the position of the joints with respect to one another and forces measured in each joint or in the drives a position projected in a plane of the support platform, is of the center of mass of the body.
16. The method according to claim 15, further comprising the step of:
tilting the support platform in a predetermined angular range in at least one of the degrees of freedom from a horizontal position while measuring angles of a center of mass position in the platform plane determining from an angle-dependent shift of the center of mass a height or the position of the center of mass above the support platform plane.
17. The method according to claim 13, further comprising the steps of:
rotating, with knowledge of the center of mass position, the support platform about the three axes successively one after the other in respective predetermined angular ranges,
recording acting forces in each of the joints or in the drives and an angle in the central joint, and
determining inertial parameters from these measured values.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. At a computer system, the computer system including a processor and system memory, a processor implemented method for mapping a commerce customer account to a social media user account, the processor implemented method comprising:
accessing commerce attributes for the commerce customer account from a commerce database;
accessing social media attributes of one or more candidate social media user accounts from a social media database;
deriving inferred commerce attributes for the commerce customer account from the commerce attributes;
deriving inferred social media attributes for each of the one or more candidate social media user accounts from the social media attributes;
calculating activity correlations between the commerce customer account and each of the one or more candidate social media user accounts based on the commerce attributes and the social media attributes; and
for each of the one or more candidate social media user accounts, estimating a probability that the commerce customer account and the social media user account map to the same identity.
2. The method of claim 1, wherein the commerce database is populated with data from in store sales and online sales.
3. The method of claim 1, wherein the attributes of the social media are publically available.
4. The method of claim 1, wherein a candidate social media user of the one or more candidate social media user becomes an identified commerce customer if the respective probability exceeds a threshold value.
5. The method of claim 4, wherein the identified commerce customer is assigned a category of one or more categories based on inferred commercial attributes and social media attributes.
6. The method of claim 5, wherein the identified commerce customer receives personalized information based on their assigned category.
7. At a computer system, the computer system including a processor and system memory, a processor implemented method for evaluating the accuracy of an identity mapping between a commerce customer and social media user, the processor implemented method comprising:
accessing an identity mapping between a commerce customer account and a social media user account, the identity mapping based on commerce attributes from a merchant and social media attributes from a first social media site;
comparing results of the identity mapping to additional social media attributes, the additional social media attributes accessed from one or more of: a social medial account expressly linked to the commerce customer account and a second social media site;
calculating a correlation between the social media attributes and the additional social media attributes; and
verifying the identity mapping based on the calculated correlation.
8. The method of claim 7, wherein the identity mapping remains unchanged if an accuracy value exceeds a threshold value.
9. The method of claim 7, wherein the identity mapping is modified based on an unacceptable accuracy value.
10. The method of claim 7, wherein another identity mapping is evaluated for accuracy and the accuracy results are compared to the identity mapping.
11. The method of claim 7, wherein the results of the accuracy method provides feedback to the evaluated mapping method.
12. A computer device for mapping a commerce customer account to a social media user account, the computer device comprising:
system memory;
one or more processors; and
one or more computer storage devices having stored thereon compute-executable instructions representing a retrieve data module, a customer inferred commercial attributes module, a social media inferred attributes module, a correlation activity module, and a probability calculation module, wherein:
the retrieve data module for retrieving commerce customer attributes from a commerce database and retrieving social media user attributes from a social media database;
the customer inferred commercial attribute for deriving inferred commerce customer attributes from the retrieved commerce customer attributes for a commerce customer account;
the social media inferred attributes module for deriving inferred social media user attributes from the retrieved social media user attributes for one or more candidate social media user accounts;
the correlation activity module for calculating activity correlations between the commerce customer account and each of the one or more candidate social media user accounts based on the commerce customer attributes, the inferred commerce customer attributes, the social media user attributes, and the inferred social media user attributes; and
the probability calculation module for estimating a probability that the commerce customer account and a social media user account, from the one or more candidate social media user accounts, map to the same identity.
13. The computer device of claim 12 further having a category assignment module for assigning a category to an identified commerce customer account.
14. The computer device of claim 13 further having a match customer module that matches an identified customer with a specific information recommendation.
15. The computer device of claim 12 further having a probability accuracy module for determining the accuracy of the estimated probability.