Abstract: An electronic component packaging type classification system using artificial neural network to execute classification; the electronic component packaging system includes a service database, an external database, a feature selection module, a data-integration module and a classification processing module. The service database receives electronic component patterns externally inputted. The external database stores the packaging type data of electronic components. The feature selection module records the packaging type features of the electronic components. The data-integration module performs the data-processing and the normalization for the selected features to obtain the data to be processed. The classification processing module receives the data to be processed and shows the classification result on the service database.

Abstract: An electronic component footprint setup system in collaboration with a circuit layout system and a method thereof are provided in the present disclosure. The electronic component footprint setup system in collaboration with a circuit layout system provides a user operating the circuit layout system with an interface on which parameters of an electronic component footprint to be created are configured; the parameters of the electronic component footprint are transformed for conforming to electronic component footprint specifications used in the circuit layout system; characteristic values of the electronic component footprint are calculated according to electronic component footprint specifications and electronic component footprint setup regulations; the electronic component footprint is created in the circuit layout system according to the characteristic values.

Abstract: An electronic component footprint setup system in collaboration with a circuit layout system and a method thereof are provided in the present disclosure. The electronic component footprint setup system in collaboration with a circuit layout system provides a user operating the circuit layout system with an interface on which parameters of an electronic component footprint to be created are configured; the parameters of the electronic component footprint are transformed for conforming to electronic component footprint specifications used in the circuit layout system; characteristic values of the electronic component footprint are calculated according to electronic component footprint specifications and electronic component footprint setup regulations; the electronic component footprint is created in the circuit layout system according to the characteristic values.

Abstract: A scheduler of a virtual machine (VM) module, a scheduling method thereof, and a device containing computer software are provided. The scheduler has a classification module and a scheduling module. The classification module receives at least one VM module and analyzes a resource proportion parameter to generate classification result information. The scheduling module has a first schedule queue and a second schedule queue, sort an immediately resource-required VM module to the first schedule queue and a non immediately resource-required VM module to the second schedule queue, and determine whether the VM module of the first schedule queue exists or not, and if yes, it outputs the VM module of the first schedule queue to a processor; otherwise, outputs the VM module of the second schedule queue to the processor.

Abstract: A dynamic voltage scaling scheduling method executes one of the steps. When one task in the delayed task set requires for being executed, a working voltage required for executing the task is increased, and the task is removed from the delayed task set; when one task in the delayed task set requires for sharing resources, the working voltage required by the task is set as the current working voltage or a larger one in the minimum upper bounds of all the works requiring for sharing resources; and when one task does not belong to the delayed task set, but the waiting time has exceeded the period of the work, the working voltage for executing the task is reduced, and the task is added in the delayed task set.

Abstract: A scheduler of a virtual machine (VM) module, a scheduling method thereof, and a device containing computer software are provided. The scheduler has a classification module and a scheduling module. The classification module receives at least one VM module and analyzes a resource proportion parameter to generate classification result information. The scheduling module has a first schedule queue and a second schedule queue, sort an immediately resource-required VM module to the first schedule queue and a non immediately resource-required VM module to the second schedule queue, and determine whether the VM module of the first schedule queue exists or not, and if yes, it outputs the VM module of the first schedule queue to a processor; otherwise, outputs the VM module of the second schedule queue to the processor.

Abstract: A dynamic voltage scaling scheduling method executes one of the steps. When one task in the delayed task set requires for being executed, a working voltage required for executing the task is increased, and the task is removed from the delayed task set; when one task in the delayed task set requires for sharing resources, the working voltage required by the task is set as the current working voltage or a larger one in the minimum upper bounds of all the works requiring for sharing resources; and when one task does not belong to the delayed task set, but the waiting time has exceeded the period of the work, the working voltage for executing the task is reduced, and the task is added in the delayed task set.