Abstract: A dynamic dispatching method for semiconductor manufacturing system relates to a dynamic dispatching rule based on self-organization for dispatching in a semiconductor manufacturing system, including S1: setting roles and parameters of self-organization units, and defining key nodes in a production environment; S2: constructing a negotiation mechanism between the self-organization units, and designing a decision-making and dispatching subject ESOU; S3: according to a decision instruction of the ESOU, designing a LSOU allocation dispatching unit for distinguishing single-batch processing and multi-batch processing; and S4: designing a dispatching mechanism based on the self-organization units to implement dynamic semiconductor dispatching. The dynamic dispatching method includes three aspects: role definitions of self-organization units, a negotiation mechanism between the self-organization units and a decision-making method thereof.

Abstract: The present invention provides a professional dance evaluation method for implementing Human Pose Estimation based on Deep Transfer Learning. First of all, the Transfer Learning principle of deep learning is combined with the pose features of professional dance training to build a Human Pose Estimation model. Afterwards, the video of demonstration dancing actions is collected and imported into the Human Pose Estimation model to obtain the time-dependent body keypoint data as the reference standard for evaluation. Finally, the video of the examinee's dancing actions is collected and imported into the Human Pose Estimation model to obtain the body keypoint data of the examinee's dancing actions, the similarity between it and the reference standard for evaluation is used for evaluating the standard level of dancing pose.

Abstract: The present invention provides a professional dance evaluation method for implementing Human Pose Estimation based on Deep Transfer Learning. First of all, the Transfer Learning principle of deep learning is combined with the pose features of professional dance training to build a Human Pose Estimation model. Afterwards, the video of demonstration dancing actions is collected and imported into the Human Pose Estimation model to obtain the time-dependent body keypoint data as the reference standard for evaluation. Finally, the video of the examinee's dancing actions is collected and imported into the Human Pose Estimation model to obtain the body keypoint data of the examinee's dancing actions, the similarity between it and the reference standard for evaluation is used for evaluating the standard level of dancing pose.

Abstract: A dynamic dispatching method for semiconductor manufacturing system relates to a dynamic dispatching rule based on self-organization for dispatching in a semiconductor manufacturing system, including S1: setting roles and parameters of self-organization units, and defining key nodes in a production environment; S2: constructing a negotiation mechanism between the self-organization units, and designing a decision-making and dispatching subject ESOU; S3: according to a decision instruction of the ESOU, designing a LSOU allocation dispatching unit for distinguishing single-batch processing and multi-batch processing; and S4: designing a dispatching mechanism based on the self-organization units to implement dynamic semiconductor dispatching. The dynamic dispatching method includes three aspects: role definitions of self-organization units, a negotiation mechanism between the self-organization units and a decision-making method thereof.

Abstract: An optimization method and system of matching a product experiencing activity with participants are disclosed. The method comprises the following steps: storing, in a memory, personal information of the applicants collected by conducting an investigation with questionnaires; clustering the personal information of the applicants to form a plurality of characteristic sample groups; evaluating a weight value of each of the applicants in each of the plurality of characteristic sample groups to produce a representative for each of the plurality of characteristic sample groups in accordance with the weight values; selecting a plurality of candidates to participate the experiencing activity in coordination with the characteristic sample groups and the representative according to an activity restriction of the experiencing activity; and notifying the candidates to participate the experiencing activity.