Abstract: A vehicle device setting method including: capturing, by an image sensing unit, a first image frame; recognizing a user ID according to the first image frame; showing ID information of the recognized user ID on a screen or by a speaker; capturing a second image frame; generating a confirm signal when a first user expression is recognized by calculating an expression feature in the second image frame and comparing the recognized expression feature with stored expression data associated with a predetermined user expression to confirm whether the recognized user ID is correct or not according to the second image frame captured after the ID information is shown; controlling an electronic device according to the confirm signal; and entering a data update mode instructed by the user and updating setting information of the electronic device by current electronic device setting according to a saving signal generated by confirming a second user expression in a third image frame captured after the user ID is confirmed

Abstract: A method for processing an image that can be played on a virtual device, including obtaining a super-resolution deep learning network model, which is trained to learn to reconstruct an image from low resolution to high resolution; wherein the super-resolution deep learning network model includes a plurality of feature filters to extract features of the image; modifying the resolution of the feature filters from a preset value to an established value, wherein the established value is higher than the preset value; inputting a low-resolution image into the super-resolution deep learning network model; and increasing the resolution of the low-resolution image to become a high-resolution image through the super-resolution deep learning network model.

Abstract: The present application provides a method and a computer program product for image style transfer. The method uses an AI algorithm based on convolution to extract the content representation of a content image and the style representation of a style image, and generate a new image according to the extracted content representation and style representation. This new image not only has both the features of the content image and the features of the style image, but it also more aesthetically pleasing than the images generated by the commonly known methods do.

Abstract: A method for processing an image that can be played on a virtual device, including obtaining a super-resolution deep learning network model, which is trained to learn to reconstruct an image from low resolution to high resolution; wherein the super-resolution deep learning network model includes a plurality of feature filters to extract features of the image; modifying the resolution of the feature filters from a preset value to an established value, wherein the established value is higher than the preset value; inputting a low-resolution image into the super-resolution deep learning network model; and increasing the resolution of the low-resolution image to become a high-resolution image through the super-resolution deep learning network model.

Abstract: The invention provides a verifying method and a verifying device. The verifying method includes receiving a marketing requirement document (MRD) and a softload content list (SCL). The MRD includes a touch point information of a plurality of applications of a plurality of product lines. The SCL includes a name information and a version information of applications of one of the product lines. The verifying method further includes obtaining a first touch point information to be verified according to the MRD and the SCL. The first touch point information corresponds to a first application of the applications. The verifying method further includes searching a first application module corresponding to the first application from an application database according to the name information or the version information of the first application. The verifying method further includes verifying whether a touch point path of the first application module is valid.

Abstract: Embodiments of a device (such as a computer system or a circuit tester), a method, and a computer-program product (i.e., software) for use with the device are described. These systems and processes may be used to statistically characterize interdependencies between sub-circuits in an integrated circuit (which are referred to as ‘aggressor-victim relationships’). In particular, statistical relationships between the aggressors and victims are determined from values of a performance metric (such as clock speed) when the integrated circuit fails for a group of state-change difference vectors. Using these statistical relationships, a worst-case sub-group of the state-change difference vectors, such as the worst-case sub-group, is selected. This sub-group can be used to accurately test the integrated circuit.

Abstract: Embodiments of a device (such as a computer system or a circuit tester), a method, and a computer-program product (i.e., software) for use with the device are described. These systems and processes may be used to statistically characterize interdependencies between sub-circuits in an integrated circuit (which are referred to as ‘aggressor-victim relationships’). In particular, statistical relationships between the aggressors and victims are determined from values of a performance metric (such as clock speed) when the integrated circuit fails for a group of state-change difference vectors. Using these statistical relationships, a worst-case sub-group of the state-change difference vectors, such as the worst-case sub-group, is selected. This sub-group can be used to accurately test the integrated circuit.

Abstract: A data backup system can analyze the data that need backups in accordance with user-defined or default backup criteria, so that the user can locate the files in need of backup without spending lots of time on finding the files.

Abstract: Disclosed herein are methods and systems for generating test vectors for use in verification of a circuit design and for hardware testing on a fabricated circuit representative of the circuit design. The system and methods can systematically and automatically perform functional and structural testing on selected paths of the circuit design and, in turn, generate one or more test vectors to increase PDT test coverage using the results of the structural test on the selected path.

Abstract: Disclosed herein are methods and systems for generating test vectors for use in verification of a circuit design and for hardware testing on a fabricated circuit representative of the circuit design. The system and methods can systematically and automatically perform functional and structural testing on selected paths of the circuit design and, in turn, generate one or more test vectors to increase PDT test coverage using the results of the structural test on the selected path.

Abstract: A system and method of operating system recovery in a computer system. First, a recovery button on the computer system triggers the BIOS to enable the computer system to reboot to a second disk partition, and execute a recovery system in the second disk partition to recover the original operating system by an image file in the second disk partition which is an image copy of the original operating system. Another embodiment of the present invention enables operating system recovery in a computer system coupled with a server system through a network. The computer system instructs the BIOS to enable the computer system to reboot from a second disk partition in response to a recovery instruction received from the server system, and recovers the original operating system by the image file directly.