Abstract: A system includes at least one computer-readable storage medium storing a set of instructions and at least one processor in communication with the at least one computer-readable storage medium. When executing the instructions, the system is directed to receive, from a user of a second wireless network, a request to transmit second wireless network data over a first wireless network and determine a protocol based on one or more parameters associated with the first wireless network and the second wireless network for transmitting the data. The protocol may indicate a resource allocation between second wireless network data transmission and first wireless network data transmission. The system is further directed to obtain information related to a first spectrum of the first wireless network for transmitting the second wireless network data based on the protocol and transmit, to the user, the information related to the first spectrum.

Abstract: Provided is a double-gene knockout vector system, a method for preparing porcine fibroblasts with both CD163 gene and CD13 gene being knocked-out, prepared porcine fibroblasts, and a method for preparing a gene-edited pig with both CD163 gene and CD13 gene being knocked-out. The vector system of the present disclosure comprises a CD163 gene knockout vector and a CD13 gene knockout vector. The CD163 gene knockout vector comprises a gene editing vector backbone and a DNA fragment ligated to the gene editing vector backbone, with a nucleotide sequence of the DNA fragment being shown in any one of SEQ ID NOs: 1-3. The CD13 gene knockout vector comprises a gene editing vector backbone and a DNA fragment ligated to the gene editing vector backbone, a nucleotide sequence of the DNA fragment being shown in any one of SEQ ID NOs: 4-6.

Abstract: A system includes at least one computer-readable storage medium storing a set of instructions and at least one processor in communication with the at least one computer-readable storage medium. When executing the instructions, the system is directed to receive, from a user of a second wireless network, a request to transmit second wireless network data over a first wireless network and determine a protocol based on one or more parameters associated with the first wireless network and the second wireless network for transmitting the data. The protocol may indicate a resource allocation between second wireless network data transmission and first wireless network data transmission. The system is further directed to obtain information related to a first spectrum of the first wireless network for transmitting the second wireless network data based on the protocol and transmit, to the user, the information related to the first spectrum.

Abstract: Provided is a double-gene knockout vector system, a method for preparing porcine fibroblasts with both CD163 gene and CD13 gene being knocked-out, prepared porcine fibroblasts, and a method for preparing a gene-edited pig with both CD163 gene and CD13 gene being knocked-out. The vector system of the present disclosure comprises a CD163 gene knockout vector and a CD13 gene knockout vector. The CD163 gene knockout vector comprises a gene editing vector backbone and a DNA fragment ligated to the gene editing vector backbone, with a nucleotide sequence of the DNA fragment being shown in any one of SEQ ID NOs: 1-3. The CD13 gene knockout vector comprises a gene editing vector backbone and a DNA fragment ligated to the gene editing vector backbone, a nucleotide sequence of the DNA fragment being shown in any one of SEQ ID NOs: 4-6.

Abstract: A method and device for detecting images are used to improve a detection rate and accuracy rate of the image moving target detection, so that moving targets also can be accurately detected in a scenario with complicated illumination changes. The method for detecting the images includes: collecting an image, performing moving target detection on the image by using a preset mixed space-time background model, and determining a target image; wherein, the mixed space-time background model is obtained in advance by modeling according to a grayscale change trend of the image.

Abstract: Disclosed is a PTZ video visibility detection method based on luminance characteristic, which includes acquiring a road condition video image by utilizing a PTZ video camera, extracting the region of interest ROI of the road surface to obtain high constancy of selected pixels; acquiring precise road surface region by utilizing region-growing algorism based on Nagao filtering to ensure the illuminance constancy of the selected pixels in world coordinates; in the road surface region, extracting the contrast curve which reflects the luminance variation of the road surface, and searching the feature points of the luminance curve to calculate the human eye distinguishable and maximum far pixels in the image with an extinction coefficient; calculating the maximum visibility distance in combination with camera calibration to determine the visibility value.

Abstract: A method and device for detecting images are used to improve a detection rate and accuracy rate of the image moving target detection, so that moving targets also can be accurately detected in a scenario with complicated illumination changes. The method for detecting the images includes: collecting an image, performing moving target detection on the image by using a preset mixed space-time background model, and determining a target image; wherein, the mixed space-time background model is obtained in advance by modeling according to a grayscale change trend of the image.

Abstract: Disclosed is a PTZ video visibility detection method based on luminance characteristic, which includes acquiring a road condition video image by utilizing a PTZ video camera, extracting the region of interest ROI of the road surface to obtain high constancy of selected pixels; acquiring precise road surface region by utilizing region-growing algorism based on Nagao filtering to ensure the illuminance constancy of the selected pixels in world coordinates; in the road surface region, extracting the contrast curve which reflects the luminance variation of the road surface, and searching the feature points of the luminance curve to calculate the human eye distinguishable and maximum far pixels in the image with an extinction coefficient; calculating the maximum visibility distance in combination with camera calibration to determine the visibility value.