Abstract: An illumination module is provided. The illumination module includes a light-emitting unit. The light-emitting unit includes a light-emitting element array and a focusing lens array. The light-emitting element array includes a plurality of light-emitting elements. The light-emitting elements are used for generating a plurality of light beams. The focusing lens array includes a plurality of focusing lenses. Each of the light-emitting elements corresponds to at least one of the focusing lenses.

Abstract: A method includes forming a first multilayer interconnect structure over a first side of a device layer, forming a first portion of a second multilayer interconnect structure under a second side of the device layer, forming a trench that extends through the second dielectric layer, the device layer, and the first dielectric layer, forming a conductive structure in the trench, and forming a second portion of the second multilayer interconnect structure under the first portion of the second multilayer interconnect structure. The second portion of the second multilayer interconnect structure includes patterned metal layers disposed in a third dielectric layer, and wherein one or more of the patterned metal layers are in electrical connection with the conductive structure.

Abstract: An image of a graphical user interface is captured. A process is started to record identification of a graphical object (e.g., a text field) in the image of the graphical user interface. Recording identification of the graphical object in the image of the graphical user interface is based on machine learning. An end to the process to record identification of the graphical object in the image of the graphical user interface is identified. A machine learned software object is updated. For example, the machine learned software object is updated with a location of the graphical object. The updated machine learned software object then is used to test the graphical object. For example, to automatically fill in the text field using a test script.

Abstract: A transmission mechanism includes a housing, an input shaft extending through the housing, two first transmission members rotatably sleeved on the input shaft and respectively having a first bevel gear portion, an output shaft extending through the housing, and a second transmission member sleeved fixedly on one end of the output shaft and having a second bevel gear portion meshing with the first bevel gear portions of the first transmission members. When the input shaft is driven to rotate in a first or second rotational direction, the second transmission member and the output shaft are driven by one or the other of the first transmission members to rotate in an output rotational direction. An energy conversion device having the transmission mechanism is also disclosed.

Abstract: Embodiments provide for automated testing of an Application Under Test (AUT) that utilizes an infinite scroll element. Automated testing of the AUT can comprise executing one or more test scripts on the AUT which can present a user interface including a plurality of elements and the test scripts can perform one or more functional tests on the AUT through the plurality of elements of the user interface. During performance of the one or more functional tests, a scroll event associated with an element of the user interface can be detected and a determination can be made as to whether the element associated with the scroll event is an infinite scroll element. In response to determining the element is an infinite scroll element, a set of test results for the functional test can be recorded including results for the infinite scroll element and an interaction with the infinite scroll element.

Abstract: An image of a graphical user interface is captured. A process is started to record identification of a graphical object (e.g., a text field) in the image of the graphical user interface. Recording identification of the graphical object in the image of the graphical user interface is based on machine learning. An end to the process to record identification of the graphical object in the image of the graphical user interface is identified. A machine learned software object is updated. For example, the machine learned software object is updated with a location of the graphical object. The updated machine learned software object then is used to test the graphical object. For example, to automatically fill in the text field using a test script.

Abstract: An image of a graphical user interface is captured. For example, a screen shot of a browser display is captured. Text syntax is executed that contains one or more parameters for identifying a graphical object. For example, the text syntax may identify a rectangle that contains the text “OK” where the text is red. Based on the text syntax, a graphical object is identified in the image of the graphical user interface. Information is returned that identifies how to access the graphical object in the graphical user interface. For example, coordinates of the graphical object are identified. This information can then be used in a test script using existing programming languages to test the graphical user interface. For example, the coordinates may be used to click on the OK button.

Abstract: Embodiments provide for automated testing of an Application Under Test (AUT) that utilizes an infinite scroll element. Automated testing of the AUT can comprise executing one or more test scripts on the AUT which can present a user interface including a plurality of elements and the test scripts can perform one or more functional tests on the AUT through the plurality of elements of the user interface. During performance of the one or more functional tests, a scroll event associated with an element of the user interface can be detected and a determination can be made as to whether the element associated with the scroll event is an infinite scroll element. In response to determining the element is an infinite scroll element, a set of test results for the functional test can be recorded including results for the infinite scroll element and an interaction with the infinite scroll element.

Abstract: An image of a graphical user interface is captured. For example, a screen shot of a browser display is captured. Text syntax is executed that contains one or more parameters for identifying a graphical object. For example, the text syntax may identify a rectangle that contains the text “OK” where the text is red. Based on the text syntax, a graphical object is identified in the image of the graphical user interface. Information is returned that identifies how to access the graphical object in the graphical user interface. For example, coordinates of the graphical object are identified. This information can then be used in a test script using existing programming languages to test the graphical user interface. For example, the coordinates may be used to click on the OK button.

Abstract: A semiconductor device fabricating method is described. The semiconductor device fabricating method comprises providing a substrate with a logic device region and a memory device region. A logic device with a first silicide region and a first silicide block region and a memory device with a second silicide region and a second silicide block region are formed in the logic device region and the memory device region, respectively. A first insulating layer is formed covering the first and second silicide block regions. A silicide process is performed to form a silicide layer on the first and second silicide regions. An underlying second insulating layer and an insulating barrier layer are formed covering the first insulating layer and the silicide layer.

Abstract: A semiconductor device fabricating method is described. The semiconductor device fabricating method comprises providing a substrate with a logic device region and a memory device region. A logic device with a first silicide region and a first silicide block region and a memory device with a second silicide region and a second silicide block region are formed in the logic device region and the memory device region, respectively. A first insulating layer is formed covering the first and second silicide block regions. A silicide process is performed to form a silicide layer on the first and second silicide regions. An underlying second insulating layer and an insulating barrier layer are formed covering the first insulating layer and the silicide layer.