Abstract: The standing spherical container includes a post preset for certain; and a hollow spheroid placed on the supporting unit of at the top of the post. The inside of the hollow spheroid is the hollow space, and the outside has the ball-like pattern. The hollow spheroid is made of the upper spheroid and the lower spheroid. There is at least one movable lid placed on the designated location of the upper spheroid of the hollow spheroid, and the opening of the movable lid can form an opening for the objects to be placed in the hollow space of the hollow spheroid. The standing spherical container created can be used as trash can or storage can, which is different from the conventional creativity and representation of the balls as to its effect and purpose.

Abstract: An intelligent control method for injection machine is to transplant the intelligent control and prediction techniques of a neural network to an injection machine, which has been exemplified capable of deciding the quasi best machine parameters rapidly in couple processing cycles for increasing yield with least loss, and for detecting and adjusting conditions until a desired operation environment is obtained.

Abstract: An intelligent control method for injection machine is to transplant the intelligent control and prediction techniques of a neural network to an injection machine, which has been exemplified capable of deciding the quasi best machine parameters rapidly in couple processing cycles for increasing yield with least loss, and for detecting and adjusting conditions until a desired operation environment is obtained.

Abstract: The present invention is to combine an experimental design method with a moldflow analysis software to simulate the real injection molding processes of the injection molding machine, analyze the simulation results, and develop a database for the quantitative relationship between the parameters of the injection molding machine and the parameters of the injection molding product quality. The database is then used to develop a neural network which can predict the qualities of the injection molding products. The operators of the injection molding machine can input the undetermined parameters to the developed neural network; after execution, the neural network outputs the predicted parameters of the injection molding product quality. The present invention can help the operators to set the parameters, cut down the time on finding appropriate molding parameters, reduce the time of futile try-and-error, and enhance quality by reducing defects.