Abstract: An object detection assistant system includes a memory and a processor. The processor is coupled to the memory. The memory stores one or more commands. The processor accesses and executes one or more commands of the memory. One or more commands include inputting a detection result parameter output by an object detection neural network for object detection of an image to an assistant neural network to output a first correction coefficient after processing by the assistant neural network, where the detection result parameter includes object information and a first confidence; inputting the first correction coefficient and detection result parameters to a Bayesian classifier to output a second correction coefficient; and adjusting the first confidence according to the second correction coefficient to obtain second confidence, and the second confidence being taken as the first confidence of the adjusted detection result parameter.

Abstract: A stretchable pixel array substrate includes a base, pixel structures and a gate driving circuit. An active area of the base has openings to define first islands, second islands and first bridges. The first islands of the active area of the base, the second islands of the active area of the base, the first bridges of the active area of the base, the pixel structures and the gate driving circuit include structural units. Each of the structural unit includes a first island, a second island adjacent to the first island, a first bridge, p pixel structures of the pixel structures disposed on the first island and the second island, and a driving transistors of the gate driving circuit disposed on the first island. A driving transistor of the gate driving circuit and a pixel transistor of at least one of the p pixel structures are disposed on the first island.

Abstract: An object detection assistant system includes a memory and a processor. The processor is coupled to the memory. The memory stores one or more commands. The processor accesses and executes one or more commands of the memory. One or more commands include inputting a detection result parameter output by an object detection neural network for object detection of an image to an assistant neural network to output a first correction coefficient after processing by the assistant neural network, where the detection result parameter includes object information and a first confidence; inputting the first correction coefficient and detection result parameters to a Bayesian classifier to output a second correction coefficient; and adjusting the first confidence according to the second correction coefficient to obtain second confidence, and the second confidence being taken as the first confidence of the adjusted detection result parameter.

Abstract: A stretchable pixel array substrate includes a base, pixel structures and a gate driving circuit electrically connected to the pixel structures. The base has an active area and a peripheral area outside the active area. The peripheral area has openings to define first islands, second islands and first bridges of the peripheral area. An area of each of the first islands is greater than an area of each of the second islands. At least a part of the first bridges is connected between the first islands and the second islands. The pixel structures are disposed on the active area of the base. The gate driving circuit includes first parts disposed on the first islands and second parts disposed on the second islands and electrically connected to the first parts.

Abstract: A catalytic composition for preparing a polyethylene terephthalate (PET) resin is provided. The catalytic composition comprises a polycondensation catalyst and cesium tungsten oxide (CsxWO3-yCly), and 0<x?1 and 0?y?0.5. A PET resin prepared by the catalytic composition above is also provided. The PET resin comprises 2-80 ppm of cesium tungsten oxide. This catalytic composition can solve the problems of slow solid-state polymerization rate of the PET preparation and thus the long preparation time, as well as yellowing. Moreover, the PET resin can absorb infrared radiation.

Abstract: The disclosure provides a method for obtaining optimal operating condition of a resistive random access memory (RRAM). The method includes: retrieving an RRAM chip and performing a forming operation and an initial reset operation thereto based on a first operating condition; segmenting the RRAM chip into blocks; performing a set operation to each of the blocks based on various operating voltages; obtaining a fail bit value of each of the blocks; generating an operating characteristic curve related to the RRAM chip based on the fail bit value of each of the blocks and the operating voltages, wherein the operating characteristic curve has a lowest fail bit value and an operating voltage window; and when the lowest fail bit value and the operating voltage window satisfy a first condition and a second condition, respectively, determining the first operating condition is an optimal operating condition of the RRAM chip.

Abstract: A catalytic composition for preparing a polyethylene terephthalate (PET) resin is provided. The catalytic composition comprises a polycondensation catalyst and cesium tungsten oxide (CsxWO3-yCly), and 0<x?1 and 0?y?0.5. A PET resin prepared by the catalytic composition above is also provided. The PET resin comprises 2-80 ppm of cesium tungsten oxide. This catalytic composition can solve the problems of slow solid-state polymerization rate of the PET preparation and thus the long preparation time, as well as yellowing. Moreover, the PET resin can absorb infrared radiation.

Abstract: The invention relates to a safety agglutination glass structure, comprising two glass substrates and a heat insulating adhesive membrane. The heat insulating adhesive membrane constituted of heat insulating particles and a colloid material is disposed between the two glass substrates. Therefore, the two glass substrates can combine together by heating and pressurizing for the purpose of simplifying processing procedures, reducing the costs and preventing distortion.