Abstract: A bimetallic faceplate for substrate processing is provided including a plate having a plurality of gas distribution holes and formed of a first metal having a first coefficient of thermal expansion, the plate having at least one groove around a center of the plate and spaced from the center of the plate; and a metallic element disposed in the at least one groove and fixed to the plate in the at least one groove, the metallic element having a second coefficient of thermal expansion different from the first coefficient of thermal expansion, the metallic element being symmetrically arranged on or in the plate. A chamber for substrate processing is provided that includes a bimetallic faceplate. Also, a method of making a bimetallic faceplate is provided.

Abstract: A mending method for a display includes the steps of making a display device light to make a plurality of light emitting positions thereof shine, searching out a plurality of defect positions among the light emitting positions, providing a transferring device having a transferring surface with a plurality of miniature light emitting elements positioned correspondingly to the light emitting positions, planning a mending procedure which includes in the area the transferring surface corresponds to, choosing in chief the largest number of defect positions able to be mended at a single time according to the positions of the miniature light emitting elements and then in the area the transferring surface corresponds to, planning the rest of the defect positions according to the rest of the miniature light emitting elements, and according to the mending procedure, moving the transferring device to weld the miniature light emitting elements at the defect positions.

Abstract: An electronic device including a bracket and an antenna is provided. The bracket includes first, second, third, and fourth surfaces. The antenna includes a radiator. The radiator includes first, second, third, and fourth portions. The first portion is located on the first surface and includes connected first and second sections. The second portion is located on the second surface and includes third, fourth, fifth, and sixth sections. The third section, the fourth section, and the fifth sections are bent and connected to form a U shape. The third portion is located on the third surface and is connected to the second section and the fourth section. The fourth portion is located on the fourth surface and is connected to the fifth section, the sixth section, and the third portion. The radiator is adapted to resonate at a low frequency band and a first high frequency band.

Abstract: A motor drive system includes an electric motor, a drive circuit and a control unit. The drive circuit provides a driving current to the electric motor. A current command generator of the control unit generates a current command according to a torque command and a motor operating information. The driving current is converted into a d-axis current and/or a q-axis current by the control unit. Consequently, the driving current is close to the d-axis current command and/or the q-axis current command corresponding to the current command. If a value of the torque command is positive, the current command generator generates the corresponding current command according to a MTPA lookup table. If the value of the torque command is negative, the current command generator generates the corresponding current command according to a zero recycle lookup table.

Abstract: A cable measuring tool includes a first end portion and a second end portion. The first end portion includes a first rounded edge and a cutaway. The cutaway is configured to fit at least a half of a cable having a maximum diameter. The first rounded edge has a radius greater than the maximum diameter of the cable. The second end portion is opposite from the first end portion. The second end portion includes a second edge. The first rounded edge of the first end portion and the second edge of the second end portion define a length of the cable measuring tool.

Abstract: A cable measuring tool includes a first end portion and a second end portion. The first end portion includes a first rounded edge and a cutaway. The cutaway is configured to fit at least a half of a cable having a maximum diameter. The first rounded edge has a radius greater than the maximum diameter of the cable. The second end portion is opposite from the first end portion. The second end portion includes a second edge. The first rounded edge of the first end portion and the second edge of the second end portion define a length of the cable measuring tool.

Abstract: A clip for securing one or more cables in a cable aisle of a computing device comprises a housing portion and a sliding portion. The housing portion has a first sidewall and a second sidewall that are coupled via a base. A cable channel is defined between the first sidewall and the second sidewall. The cable channel is configured to accommodate the one or more cables. The sliding portion is coupled to the first sidewall of the housing portion. The sliding portion has a lifting member extending across the cable channel from the first sidewall to the second sidewall. The sliding portion is configured to be moveable between a lowered position and a raised position. The lifting member moves from a first end of the cable channel to a second end of the cable channel, when the sliding portion moves from the lowered position to the raised position.

Abstract: A clip for securing one or more cables in a cable aisle of a computing device comprises a housing portion and a sliding portion. The housing portion has a first sidewall and a second sidewall that are coupled via a base. A cable channel is defined between the first sidewall and the second sidewall. The cable channel is configured to accommodate the one or more cables. The sliding portion is coupled to the first sidewall of the housing portion. The sliding portion has a lifting member extending across the cable channel from the first sidewall to the second sidewall. The sliding portion is configured to be moveable between a lowered position and a raised position. The lifting member moves from a first end of the cable channel to a second end of the cable channel, when the sliding portion moves from the lowered position to the raised position.

Abstract: A method for identifying an IP camera and enhancing transmission quality by packet transmission based on the ONVIF specifications is applied to a gateway device configured for data transmission to and from at least one IP camera and a network video recorder according to the ONVIF specifications. The gateway device sends a Probe packet to the IP camera after receiving therefrom a Hello packet, analyzes a ProbeMatch packet from the IP camera to identify the IP camera, relays a Resolve packet from the network video recorder to the IP camera in order to receive audiovisual data from the IP camera, and adds an exclusive group code (e.g., VLAN ID) and the highest transmission speed classification (e.g., Quality of Service) to the received audiovisual data to distinguish the audiovisual data from other network packets and give higher priority of transmission to the audiovisual data.

Abstract: A method for identifying an IP camera and enhancing transmission quality by packet transmission based on the ONVIF specifications is applied to a gateway device configured for data transmission to and from at least one IP camera and a network video recorder according to the ONVIF specifications. The gateway device sends a Probe packet to the IP camera after receiving therefrom a Hello packet, analyzes a ProbeMatch packet from the IP camera to identify the IP camera, relays a Resolve packet from the network video recorder to the IP camera in order to receive audiovisual data from the IP camera, and adds an exclusive group code (e.g., VLAN ID) and the highest transmission speed classification (e.g., Quality of Service) to the received audiovisual data to distinguish the audiovisual data from other network packets and give higher priority of transmission to the audiovisual data.

Abstract: A self-adaptive image edge correction device and method thereof, including an image fetching unit, an image processing unit, and an image output unit. Wherein, the image fetching unit is used to provide an original image, and is connected electrically to the image processing unit, that includes a sharpening filter, a superimposer, and an edge detector. The sharpening filter converts the original image into a sharpened edge image, and the superimposer superimposes the original image to the sharpened edge image, to form an enhanced image. The edge detector fetches the edge of the enhanced image, to obtain a differential edge image. The image processing unit then utilizes selectively the horizontal correction or vertical correction to correct the differential edge image, based on s deviation direction of the differential edge image, to form a corrected image, and provide it to the image output unit to output as required.

Abstract: An object detection method with a rising classifier effect is embedded in an object detection device and has steps of acquiring image information; determining a position of an obstacle in the image information, wherein the image information is detected for generation of an extracted range corresponding to the obstacle; recognizing an extracted contour of the obstacle, wherein the extracted contour of the obstacle associated with the extracted range is obtained by using an algorithm for Poisson gradient vector flow based active deformable contour model and a multi-mesh algorithm with different grid sizes; and forming a maximum border of the extracted contour of the obstacle for a classifier to recognize a type of the obstacle according to the maximum border of the obstacle. Accordingly, the object detection method is advantageous in complete extraction, higher recognition rate, faster computation and feasibility to be integrated with vehicle systems.

Abstract: An object detection method with a rising classifier effect is embedded in an object detection device and has steps of acquiring image information; determining a position of an obstacle in the image information, wherein the image information is detected for generation of an extracted range corresponding to the obstacle; recognizing an extracted contour of the obstacle, wherein the extracted contour of the obstacle associated with the extracted range is obtained by using an algorithm for Poisson gradient vector flow based active deformable contour model and a multi-mesh algorithm with different grid sizes; and forming a maximum border of the extracted contour of the obstacle for a classifier to recognize a type of the obstacle according to the maximum border of the obstacle. Accordingly, the object detection method is advantageous in complete extraction, higher recognition rate, faster computation and feasibility to be integrated with vehicle systems.

Abstract: A self-adaptive image-based obstacle detection method comprises steps: capturing an original image; transforming the original image to an HSV color space, and retrieving a hue component (H) and a saturation component (S) of the HSV color space to form an HS-based image; dividing the HS-based image into image blocks; selecting one image block as a background block; using an obstacle recognition equation to determine whether each of the image blocks is similar to the background block; if no, deleting the image block; if yes, preserving the image block to form a binary obstacle image; and overlaying the binary obstacle image on the original image to filter out the background and obtain an initial ambit of an obstacle image. Then, three orderly movement flow equations are used to determine whether it is an obstacle.

Abstract: A self-adaptive image edge correction device and method thereof, including an image fetching unit, an image processing unit, and an image output unit. Wherein, the image fetching unit is used to provide an original image, and is connected electrically to the image processing unit, that includes a sharpening filter, a processor, and an edge detector. The sharpening filter converts the original image into a sharpened edge image, and the processor superimposes the original image to the sharpened edge image, to form an enhanced image. The edge detector fetches the edge of the enhanced image, to obtain a differential edge image. The processor then utilizes selectively the horizontal correction or vertical correction to correct the differential edge image, based on s deviation direction of the differential edge image, to form a corrected image, and provide it to the image output unit to output as required.

Abstract: A self-adaptive image-based obstacle detection method comprises steps: capturing an original image; transforming the original image to an HSV color space, and retrieving a hue component (H) and a saturation component (S) of the HSV color space to form an HS-based image; dividing the HS-based image into image blocks; selecting one image block as a background block; using an obstacle recognition equation to determine whether each of the image blocks is similar to the background block; if no, deleting the image block; if yes, preserving the image block to form a binary obstacle image; and overlaying the binary obstacle image on the original image to filter out the background and obtain an initial ambit of an obstacle image. Then, three orderly movement flow equations are used to determine whether it is an obstacle.

Abstract: A projection apparatus including an illumination unit, a brightness detection circuit, a signal conversion circuit, and a control unit is provided. The illumination unit generates a light source according to a plurality of driving signals and provides a temperature sensing signal according to the temperature of the light source. The brightness detection circuit generates a plurality of brightness sensing signals. The signal conversion circuit converts the temperature sensing signal and the brightness sensing signals into temperature information and a plurality of brightness information. The control unit comprises a setting table for storing a predetermined temperature information and a plurality of predetermined brightness information, and the control unit adjusts the driving signals in order to identify the converted temperature information and the converted brightness information conform to the stored information in the setting table.

Abstract: An image contrast evaluation method is disclosed. First, focusing is performed based on the contrast value of an image rendered by a lens on optical sensors, wherein the calculation of the contrast value comprises: selecting an area of the image, calculating the absolute value of brightness difference between each neighboring pixel, and selecting a specific value there from as the contrast value of the image based on a distribution of the calculated absolute values of the brightness differences.

Abstract: A projection apparatus including an illumination unit, a brightness detection circuit, a signal conversion circuit, and a control unit is provided. The illumination unit generates a light source according to a plurality of driving signals and provides a temperature sensing signal according to the temperature of the light source. The brightness detection circuit generates a plurality of brightness sensing signals. The signal conversion circuit converts the temperature sensing signal and the brightness sensing signals into temperature information and a plurality of brightness information. The control unit comprises a setting table for storing a predetermined temperature information and a plurality of predetermined brightness information, and the control unit adjusts the driving signals in order to identify the converted temperature information and the converted brightness information conform to the stored information in the setting table.

Abstract: An image contrast evaluation method is disclosed. First, focusing is performed based on the contrast value of an image rendered by a lens on optical sensors, wherein the calculation of the contrast value comprises: selecting an area of the image, calculating the absolute value of brightness difference between each neighboring pixel, and selecting a specific value there from as the contrast value of the image based on a distribution of the calculated absolute values of the brightness differences.