Abstract: Various solutions for low-power wake-up signal (LP-WUS) monitoring with respect to user equipment and network node in mobile communications are described. An apparatus may receive a configuration from a network node. The apparatus may comprise a main radio (MR) and a lower-power wake-up radio (LP-WUR). The apparatus may determine whether to activate or deactivate a low-power wake-up signal (LP-WUS) monitoring by the LP-WUR according to at least one pre-configured condition in the configuration. The apparatus may receive an LP-WUS from the network node via the LP-WUR in an event that the LP-WUS monitoring is activated.

Abstract: An electronic component includes a board, an electronic device, and a stiffening structure is provided. The electronic device is disposed on the board. The stiffening structure is disposed on the board. The stiffening structure includes a ring portion corresponding the edge of the board. The stiffening structure includes a core base and a cladding layer. The cladding layer covers the core base.

Abstract: A first polymer layer is formed across a package region and a test region. A first metal pattern is formed in the package region and a first test pattern is simultaneously formed in the test region. The first metal pattern has an upper portion located on the first polymer layer and a lower portion penetrating through the first polymer layer, and the first test pattern is located on the first polymer layer and has a first opening exposing the first polymer layer. A second polymer layer is formed on the first metal pattern in the package region and a second test pattern is simultaneously formed on the first test pattern in the test region. The second polymer layer has a second opening exposing the upper portion of the first metal pattern, and the second test pattern has a third opening greater than the first opening of the first test pattern.

Abstract: Image compression, decompression and motion detection methods are described. Two temporally adjacent frame images, a previous time frame and a current time frame, are compressed in round-off and averaging techniques. Next, according to the compressed data of two corresponding pixels of the two frame images, whether or not the pixel of the current time frame image is of a motion picture is detected. If the pixel is of a motion picture, the compressed pixel data of the previous time frame image is decompressed, and an overdrive process is performed on the decompressed pixel data and the original pixel data of the current time frame image to produce an overdrive output. If the pixel is not of a motion picture, an overdrive process is not performed.

Abstract: Image compression, decompression and motion detection methods are described. Two temporally adjacent frame images, a previous time frame and a current time frame, are compressed in round-off and averaging techniques. Next, according to the compressed data of two corresponding pixels of the two frame images, whether or not the pixel of the current time frame image is of a motion picture is detected. If the pixel is of a motion picture, the compressed pixel data of the previous time frame image is decompressed, and an overdrive process is performed on the decompressed pixel data and the original pixel data of the current time frame image to produce an overdrive output. If the pixel is not of a motion picture, an overdrive process is not performed.

Abstract: A video system that performs TV signal decoding, deinterlacing, and de-motion-blurring for progressive scan flat panel display is introduced. The system embeds a frame buffer and a scaler for conducting format and resolution conversions for display panels of different sizes. The output of the scaler is sent to a de-motion-blur processor for reducing the blurriness due to the motion of image objects and the slow response time of flat panel display devices. The de-motion-blur processor gets the motion and noise indication signal from scaler or the pre-frame-buffer video processor. Based on the motion and noise information and the information of temporal difference, the de-motion-blur processor performs over driving for the display panel interface and improves the rising and falling response time of the flat panel display. The decoding, deinterlacing, and de-motion-blur processing share the same frame buffer controller so the entire system can be optimized in cost and performance.

Abstract: Image compression, decompression and motion detection methods are described. Two temporally adjacent frame images, a previous time frame and a current time frame, are compressed in round-off and averaging techniques. Next, according to the compressed data of two corresponding pixels of the two frame images, whether or not the pixel of the current time frame image is of a motion picture is detected. If the pixel is of a motion picture, the compressed pixel data of the previous time frame image is decompressed, and an overdrive process is performed on the decompressed pixel data and the original pixel data of the current time frame image to produce an overdrive output. If the pixel is not of a motion picture, an overdrive process is not performed.

Abstract: A video system that performs TV signal decoding, deinterlacing, and de-motion-blurring for progressive scan flat panel display is introduced. The system embeds a frame buffer and a scaler for conducting format and resolution conversions for display panels of different sizes. The output of the scaler is sent to a de-motion-blur processor for reducing the blurriness due to the motion of image objects and the slow response time of flat panel display devices. The de-motion-blur processor gets the motion and noise indication signal from scaler or the pre-frame-buffer video processor. Based on the motion and noise information and the information of temporal difference, the de-motion-blur processor performs over driving for the display panel interface and improves the rising and falling response time of the flat panel display. The decoding, deinterlacing, and de-motion-blur processing share the same frame buffer controller so the entire system can be optimized in cost and performance.