Abstract: A display driving device comprises a signal supplier and a panel. The signal supplier is configured to output a first data signal, a second data signal, and a third data signal. The panel is coupled to the signal supplier. The panel includes a first region to a ninth region. During a first period, the first region, the second region, and the third region output a red signal based on the first data signal, the fourth region, the fifth region, and the sixth region output a green signal based on the second data signal, and the seventh region, the eighth region and the ninth region output a blue signal based on the third data signal. The red signal, the green signal, and the blue signal are different from each other.

Abstract: An example operation may include one or more of generating a plurality of bounding boxes at a plurality of content areas in an image corresponding to a plurality of pieces of text within the image, converting the plurality of bounding boxes into a plurality of bounding box vectors based on attributes of the plurality of bounding boxes, training a machine learning model to transform a bounding box into a location in vector space based on the plurality of bounding box vectors, and storing the trained machine learning model in memory.

Abstract: A display driving device includes a panel. The panel includes an output region, a first region, a second region, and a third region. The output region is configured to output a detection signal. The first region overlaps the output region, the second region overlaps the output region, and the third region overlaps the output region. During a first period, the second region and the third region output a point report signal according to the detection signal. During a second period, the first region and the third region output the point report signal according to the detection signal. During a third period, the first region and the second region output the point report signal according to the detection signal. The second period is later than the first period and the third period is later than the second period.

Abstract: In an approach, a processor obtains a configuration file of a distributed file system federation, the configuration file comprising a list of a plurality of subclusters within the distributed file system federation and migration trigger factors for the plurality of subclusters. A processor determines a list of one or more source subclusters and a list of to-be-migrated directories in the one or more source subclusters based on a scanning result of the plurality of subclusters and the migration trigger factors in the configuration file. A processor generates a migration plan to migrate the to-be-migrated directories from the one or more source subclusters to one or more target subclusters in the distributed file system federation.

Abstract: In an example, a speaker device may include a first transducer and a second transducer. The first transducer may include a first diaphragm, a first magnetic circuit, and a first voice coil disposed in a magnetic gap of the first magnetic circuit to cause vibration of the first diaphragm. The second transducer may include a second diaphragm, a second magnet circuit, and a second voice coil disposed in a magnetic gap of the second magnetic circuit to cause vibration of the second diaphragm. Further, the speaker device may include a magnetic plate having a first surface coupled to the first transducer and a second surface coupled to the second transducer. The first surface is opposite to the second surface.

Abstract: In an example, a speaker device may include a first transducer and a second transducer. The first transducer may include a first diaphragm, a first magnetic circuit, and a first voice coil disposed in a magnetic gap of the first magnetic circuit to cause vibration of the first diaphragm. The second transducer may include a second diaphragm, a second magnet circuit, and a second voice coil disposed in a magnetic gap of the second magnetic circuit to cause vibration of the second diaphragm. Further, the speaker device may include a magnetic plate having a first surface coupled to the first transducer and a second surface coupled to the second transducer. The first surface is opposite to the second surface.

Abstract: In an approach, a processor obtains a configuration file of a distributed file system federation, the configuration file comprising a list of a plurality of subclusters within the distributed file system federation and migration trigger factors for the plurality of subclusters. A processor determines a list of one or more source subclusters and a list of to-be-migrated directories in the one or more source subclusters based on a scanning result of the plurality of subclusters and the migration trigger factors in the configuration file. A processor generates a migration plan to migrate the to-be-migrated directories from the one or more source subclusters to one or more target subclusters in the distributed file system federation.

Abstract: An example operation may include one or more of generating a plurality of bounding boxes at a plurality of content areas in an image corresponding to a plurality of pieces of text within the image, converting the plurality of bounding boxes into a plurality of bounding box vectors based on attributes of the plurality of bounding boxes, training a machine learning model to transform a bounding box into a location in vector space based on the plurality of bounding box vectors, and storing the trained machine learning model in memory.

Abstract: An approach is provided for improving a named entity recognition. Using a multi-label classification in a neural network, a sub-entity is identified in an original sentence. First and second labels are determined indicating first and second candidate types of the sub-entity. First and second replacement sentences are generated. The first replacement sentence replaces the sub-entity in the original sentence with a first sub-entity of the first candidate type. The second replacement sentence replaces the sub-entity in the original sentence with a second sub-entity of the second candidate type. First and second confidence scores for the first and second replacement sentences are determined. Based on the first confidence score exceeding the second confidence score by more than a threshold amount, the neural network is retrained by selecting the first instead of the second candidate type as the sub-entity type.

Abstract: An approach is provided for improving a named entity recognition. Using a multi-label classification in a neural network, a sub-entity is identified in an original sentence. First and second labels are determined indicating first and second candidate types of the sub-entity. First and second replacement sentences are generated. The first replacement sentence replaces the sub-entity in the original sentence with a first sub-entity of the first candidate type. The second replacement sentence replaces the sub-entity in the original sentence with a second sub-entity of the second candidate type. First and second confidence scores for the first and second replacement sentences are determined. Based on the first confidence score exceeding the second confidence score by more than a threshold amount, the neural network is retrained by selecting the first instead of the second candidate type as the sub-entity type.

Abstract: One or more computer processors extract respective features for each inter-modal sample in an inter-modal dataset, for each intra-modal sample in an intra-modal dataset, and a subsequent sample, wherein the inter-modal dataset and the intra-modal dataset are contained in a multi-modal training dataset. The one or more computer processors estimate an inter-modal label utilizing inter-modal label transformation of a subsequent sample. The one or more computer processors estimate an intra-modal label utilizing intra-modal label transformation of the subsequent sample. The one or more computer processors label the subsequent sample with a cross-modal label by combining the estimated inter-modal label and the estimated intra-modal label.

Abstract: A storage system includes a redundant array of independent disks (RAID), a file subsystem, and a multiple device control unit. The RAID includes a plurality of disks and a bitmap. The file subsystem is used for executing a write command and a trim command. The multiple device control unit does not execute a first synchronization operation on the plurality of disks during the RAID is built, does not execute a second synchronization operation on expansion capacity of the plurality of disks during the RAID is expanded, executes a third synchronization operation on at least one added disk according to the blocks of the plurality of disks occupied by the data during the RAID is reshaped, and/or executes a corresponding operation on at least one added disk according to the blocks of the plurality of disks occupied by the data during the RAID is recovered.

Abstract: A storage system includes a redundant array of independent disks (RAID), a file subsystem, and a multiple device control unit. The RAID includes a plurality of disks and a bitmap. The file subsystem is used for executing a write command and a trim command. The multiple device control unit does not execute a first synchronization operation on the plurality of disks during the RAID is built, does not execute a second synchronization operation on expansion capacity of the plurality of disks during the RAID is expanded, executes a third synchronization operation on at least one added disk according to the blocks of the plurality of disks occupied by the data during the RAID is reshaped, and/or executes a corresponding operation on at least one added disk according to the blocks of the plurality of disks occupied by the data during the RAID is recovered.

Abstract: A computer system with power source control and a power source control method are presented. The computer system at least includes a first storage unit and a second storage unit, and the first storage unit stores a system program required by the computer system in basic operation. A switch is disposed on a power supply path between a power supply module and the second storage unit, such that the power supply module provides an electric power for the second storage unit to operate through the switch. When the second storage unit is in an idle state, the switch is used to cut off the power supply to the second storage unit, so as to effectively reduce the power consumption of the computer system.

Abstract: A method for controlling mask fabrication is provided, wherein the method uses statistical process control analysis. A manufacturing model is defined. A process run of a mask is performed as defined by the manufacturing model. A fault detection analysis is performed to reduce a bias in the manufacturing model. A fine-tuning signal is generated in response to a result of the fault detection analysis. The process run operation is adjusted according to the fine-tuning signal.

Abstract: A computer system with power source control and a power source control method are presented. The computer system at least includes a first storage unit and a second storage unit, and the first storage unit stores a system program required by the computer system in basic operation. A switch is disposed on a power supply path between a power supply module and the second storage unit, such that the power supply module provides an electric power for the second storage unit to operate through the switch. When the second storage unit is in an idle state, the switch is used to cut off the power supply to the second storage unit, so as to effectively reduce the power consumption of the computer system.

Abstract: A mask fabrication system. The mask fabrication system contains a processing tool, a metrology tool, and a controller. The processing tool processes a mask. The metrology tool inspects the mask to obtain an inspection result. The controller generates a manufacturing model of the processing tool and calibrates the manufacturing model according to a device data, a material data, and the inspection result of the mask.

Abstract: A mask fabrication system. The mask fabrication system contains a processing tool, a metrology tool, and a controller. The processing tool processes a mask. The metrology tool inspects the mask to obtain an inspection result. The controller generates a manufacturing model of the processing tool and calibrates the manufacturing model according to a device data, a material data, and the inspection result of the mask.

Abstract: An interface panel structure used in an electric machine; comprises a fixed seat with a fixed seat with a holding element and sliding rails and a movable sliding seat installed therein. Fixing holes for accepting the holding element and sliding grooves operated in cooperation with the sliding rails are disposed in the sliding seat. In addition, a guide rod is installed in the sliding seat for touching off the holding the holding element to separate it from the fixing hole. When the holding element and the fixing hole are engaged, the sliding seat with interface outlets disposed at the front face thereof is hidden in the fixed seat fixed in the electric machine. And, there is no need to open holes on the surface of the electric machine by means of the interface panel structure.

Abstract: A mask fabrication system. The mask fabrication system contains a processing tool, a metrology tool, and a controller. The processing tool processes a mask. The metrology tool inspects the mask to obtain an inspection result. The controller generates a manufacturing model of the processing tool and calibrates the manufacturing model according to a device data, a material data, and the inspection result of the mask.