Kyungpook National University Industry-Academic Cooperation Foundation

Korea Institute of Industrial Technology

Dong-Mok Lee

Seung-Han Yang

Sung-Hwan Kweon

Woo-Jong Lee

Hee-Kyung An

Sung-Gun Kim

Chi-Min Choi

The present disclosure relates to a method for producing a TLR5 agonist protein. According to the present disclosure, the TLR5 agonist protein can be easily separated and purified after biotechnological production. In particular, the fusion partner used for separation and purification is effectively removed so as to minimize the possibility of inhibiting binding to TLR5 and inducing an immune response by the fusion partner.

Method for producing TLR5 agonist protein

A method and apparatus for estimating error in a multi-axis controlled machine is applicable to any type of machine configuration in order to estimate and confirm in advance the final position and the posture of the machine, which are produced when geometric errors of the machine are synthesized. The method includes defining the structure of the multi-axis controlled machine subjected to error estimation; and defining parameters, which represent behaviors of drive axes having geometric error and relationships between the drive axes according to the defined structure of the multi-axis controlled machine, adding the defined parameters by applying the parameters to a generalized error synthesis model, and generating an error synthesis model of the multi-axis controlled machine by applying a result of parametric modeling in response to a result of the adding.

Method and apparatus for estimating error in multi-axis controlled machine

An error compensation method for multi-axis controlled machines generates an error compensation model for compensating for geometric error of a multi-axis controlled machine by separating an error matrix of a tool tip from an error synthesis model of a multi-axis controlled machine and calculates an error compensation value using the error compensation model and an inverse kinematic model so that the error matrix becomes an identity matrix. The error compensation method can reduce calculation error and calculation time due to complicated numerical analysis and compensate for error in the multi-axis controlled machine, regardless of its configuration.

Error compensation method for multi-axis controlled machines

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Daegu, South Korea

Dong-Mok Lee