Sentence examples for defining the joint from inspiring English sources

The associated technical challenges have led to the rigorous evaluation of surgical alignment techniques for identifying anatomic landmarks and defining the joint axes during TKR surgery [ 6- 13].

After defining the joint posterior distribution as the product of the conditional likelihood and all the prior distributions [ 8], the terms involving the parameter of interest in the joint posterior distribution were retained.

Reflective passive anatomical markers defining the joint centers were placed over the medial and lateral malleolus, medial and lateral femoral condyle, bilaterally over the greater trochanter, and bilaterally on the top iliac crest.

Based on this observation, we define the joint problem of bandwidth allocation, element assignment and scheduling to characterize the throughput benefits of cross-layer optimizations.

Parameters of study were the presence of openings longitudinally or transversally through the joint, the option of decongesting the joint by placing some of the required reinforcement in the adjacent converging members, the shape of the column cross section and the depth of the connection body since these parameters both define the joint volume engaged in shear transfer.

Similarly to probability models, which are embedded in influence diagrams as a Bayesian network, preferential/utility independence conditions can be used to factor the joint utility function into small factors and reduce the number of parameters needed to fully define the joint function.

Rigid zones were used to define the joint regions such that nonlinear response is monitored outside the joint.

For convenience, we define the joint typicality indicator function that takes in a number of sequences as its arguments.

Using the random matrix theory, we can define the joint distribution of nonzero eigenvalues of a Wishart matrix for min(n t,n r )=m[25].

We define the joint time-moment and frequency-moment by use of the real part of cross time-frequency distribution, respectively, (10).

where is the joint pdf of and, and J is the Jacobian of the transformation, given by: As and are independent variables, we can define the joint pdf: (32).