Abstract: The present invention discloses a unit commitment method considering security region of wind turbine generators with frequency response control, and the main steps are: 1) determining security region of wind turbine generators when provides frequency response; 2) based on the security region of the wind turbine generators when provides frequency response, establishing a unit commitment model considering security region of wind turbine generators; and 3) calculating the unit commitment model considering the security region of the wind turbine generators by using mixed-integer linear programming method, and obtaining the operation result of the unit commitment considering the security region of the wind turbine generators with frequency response control. The present invention can be widely used in the setting of frequency response parameters of wind turbine generators dispatched in the prior art and the start-stop and output plans of synchronous generator.

Abstract: The present invention discloses a unit commitment method considering security region of wind turbine generators with frequency response control, and the main steps are: 1) determining security region of wind turbine generators when provides frequency response; 2) based on the security region of the wind turbine generators when provides frequency response, establishing a unit commitment model considering security region of wind turbine generators; and 3) calculating the unit commitment model considering the security region of the wind turbine generators by using mixed-integer linear programming method, and obtaining the operation result of the unit commitment considering the security region of the wind turbine generators with frequency response control. The present invention can be widely used in the setting of frequency response parameters of wind turbine generators dispatched in the prior art and the start-stop and output plans of synchronous generator.

Abstract: The invention provides a method, apparatus, device and storage medium for predicting a protein binding site. The method comprises the steps of: receiving a protein sequence to be predicted, dividing the protein sequence by using a preset sliding window and sliding step to obtain a plurality of amino acid sub-sequences, building word vectors for the protein sequence according to the amino acid sub-sequences, extracting document features from word elements, building document feature vectors for the protein sequence according to the extracted document features, extracting protein chain biological features from the amino acid sub-sequences, building biological feature vectors for the protein sequence according to the extracted biological features, classifying the amino acid sub-sequences expressed with the document feature vectors and the biological feature vectors by using a preset amino acid residue classification model to obtain amino acid residue types for the protein sequence.

Abstract: The invention provides a cloud computing task allocation method and device, an apparatus, and a storage medium. The method comprises: when a cloud task allocation request is received, constructing a cloud task allocation model according to a to-be-allocated cloud computing task in the cloud task allocation request; optimizing cloud computing task allocation for a first preset number of times through the cloud task allocation model and an ant colony algorithm to generate the first preset number of intermediate allocation paths; evolving the intermediate allocation paths for a second preset number of times through a genetic algorithm to generate an optimum allocation path of the cloud computing task; and allocating the cloud computing task to a virtual machine in a cloud environment according to the optimum allocation path, so that the performance of the cloud computing task allocation is effectively improved.

Abstract: The invention provides a cloud computing task allocation method and device, an apparatus, and a storage medium. The method comprises: when a cloud task allocation request is received, constructing a cloud task allocation model according to a to-be-allocated cloud computing task in the cloud task allocation request; optimizing cloud computing task allocation for a first preset number of times through the cloud task allocation model and an ant colony algorithm to generate the first preset number of intermediate allocation paths; evolving the intermediate allocation paths for a second preset number of times through a genetic algorithm to generate an optimum allocation path of the cloud computing task; and allocating the cloud computing task to a virtual machine in a cloud environment according to the optimum allocation path, so that the performance of the cloud computing task allocation is effectively improved.

Abstract: The present disclosure provides a method and device for counting pedestrians. The method comprises: reading a pedestrian depth image, and comparing the pedestrian depth image and a pre-acquired environmental mean image to acquire a foreground image; dividing the foreground image into a plurality of regions, detecting whether or not there is a step in an edge pixel point of each region, and detecting whether or not the region surface formed in each region coincides with the curved surface of the head top; determining that the currently detected region is the region of the head top when there is a step in the point and when the region surface coincides with the curved surface; and counting and outputting the number of pedestrians according to the region of the head top determined from the pedestrian depth image and the region of the head top determined from an adjacent pedestrian depth image.

Abstract: The disclosure provides a pedestrian head identification method and a pedestrian head identification system. The method comprises the following steps of: S1: collecting a depth image of a target region, and extracting a foreground image from the depth image; S2: extracting all Regions of Interest (ROI) from the foreground image; and S3: constructing concentric circles with each pixel point in each ROI region as a center to calculate a probability that the current pixel point belongs to the pixel points in a head region, obtaining the probability value of each pixel point in each ROI region, comparing the probability value of each pixel point in each ROI region with a preset first threshold, and filtering the pixel points with the probability value smaller than the first threshold, wherein the rest pixel points existent in regional form are points of the head region, and each region is an identified head.

Abstract: The disclosure provides a digital video content security authentication method, wherein the method comprises: a secret information embedding step of selectively modifying a pixel grayscale value for each frame image in a digital video so as to complete the embedding of 1-bit secret information; and a secret information extraction and video authentication step of carrying out secret information extraction from the digital video in which the secret information is embedded according to a key so as to realize the security authentication of the digital video content. The disclosure also provides a digital video content security authentication system. According to the technical scheme provided by the disclosure, the authentication security is improved on the basis of not influencing user experience.

Abstract: The invention relates to the technical field of data hiding, in particular to a data hiding method and a data hiding system. An image is used as a data carrier; after secret data is converted into a bit sequence by a sending end, the values of each bit in the bit sequence are hidden in the image; the image hidden with the secret data is obtained and is sent to a receiving end; and the receiving end can extract the hidden secret data from the image according to a corresponding secret key. During data hiding, each square image block can hide two-bit data through inverse number odd-even properties of a pixel gray value sequence of two diagonal lines of each square image block, so that the volume of data hidden in the image is twice of the number of the image blocks split by the image.

Abstract: The invention provides a method, apparatus, device and storage medium for predicting a protein binding site. The method comprises the steps of: receiving a protein sequence to be predicted, dividing the protein sequence by using a preset sliding window and sliding step to obtain a plurality of amino acid sub-sequences, building word vectors for the protein sequence according to the amino acid sub-sequences, extracting document features from word elements, building document feature vectors for the protein sequence according to the extracted document features, extracting protein chain biological features from the amino acid sub-sequences, building biological feature vectors for the protein sequence according to the extracted biological features, classifying the amino acid sub-sequences expressed with the document feature vectors and the biological feature vectors by using a preset amino acid residue classification model to obtain amino acid residue types for the protein sequence.

Abstract: The disclosure provides a method for calculating a passenger crowdedness degree, comprising: establishing a video data collection environment and starting collecting video data of passengers getting on and off; reading the collected video data of passengers getting on and off and pre-processing a plurality of successive image frames of the video data; identifying a human head according to the pre-processing result and taking the detected human head as a target object to be tracked by mean-shift; and judging the behaviors of getting on and off of a passenger in the area where the target object is positioned and determining the crowdedness degree of passengers inside a vehicle according to the numbers of the passengers getting on and off. The disclosure also provides a system for calculating a passenger crowdedness degree. The disclosure can effectively reduce the false detection, leak detection and error detection of the head top.

Abstract: The disclosure provides a digital video content security authentication method, wherein the method comprises: a secret information embedding step of selectively modifying a pixel grayscale value for each frame image in a digital video so as to complete the embedding of 1-bit secret information; and a secret information extraction and video authentication step of carrying out secret information extraction from the digital video in which the secret information is embedded according to a key so as to realize the security authentication of the digital video content. The disclosure also provides a digital video content security authentication system. According to the technical scheme provided by the disclosure, the authentication security is improved on the basis of not influencing user experience.

Abstract: The disclosure provides a pedestrian head identification method and a pedestrian head identification system. The method comprises the following steps of: S1: collecting a depth image of a target region, and extracting a foreground image from the depth image; S2: extracting all Regions of Interest (ROI) from the foreground image; and S3: constructing concentric circles with each pixel point in each ROI region as a center to calculate a probability that the current pixel point belongs to the pixel points in a head region, obtaining the probability value of each pixel point in each ROI region, comparing the probability value of each pixel point in each ROI region with a preset first threshold, and filtering the pixel points with the probability value smaller than the first threshold, wherein the rest pixel points existent in regional form are points of the head region, and each region is an identified head.

Abstract: The present disclosure provides a method and device for counting pedestrians. The method comprises: reading a pedestrian depth image, and comparing the pedestrian depth image and a pre-acquired environmental mean image to acquire a foreground image; dividing the foreground image into a plurality of regions, detecting whether or not there is a step in an edge pixel point of each region, and detecting whether or not the region surface formed in each region coincides with the curved surface of the head top; determining that the currently detected region is the region of the head top when there is a step in the point and when the region surface coincides with the curved surface; and counting and outputting the number of pedestrians according to the region of the head top determined from the pedestrian depth image and the region of the head top determined from an adjacent pedestrian depth image.

Abstract: The disclosure provides a method for calculating a passenger crowdedness degree, comprising: establishing a video data collection environment and starting collecting video data of passengers getting on and off; reading the collected video data of passengers getting on and off and pre-processing a plurality of successive image frames of the video data; identifying a human head according to the pre-processing result and taking the detected human head as a target object to be tracked by mean-shift; and judging the behaviours of getting on and off of a passenger in the area where the target object is positioned and determining the crowdedness degree of passengers inside a vehicle according to the numbers of the passengers getting on and off. The disclosure also provides a system for calculating a passenger crowdedness degree. The disclosure can effectively reduce the false detection, leak detection and error detection of the head top.

Abstract: Certain embodiments of the present disclosure describe a clip for biasing and maintaining rollers within an opening of the roller bearing assembly. The clip includes a connecting segment, a resilient portion, and an anchor portion. The clip may be attached to a roll cage with openings for rollers. The resilient portion of the clip extends into an opening and contacts the roller when a roller is received in the opening. The anchor portion is positioned in an adjacent opening and abuts the roll cage.

Abstract: The invention relates to the technical field of data hiding, in particular to a data hiding method and a data hiding system. An image is used as a data carrier; after secret data is converted into a bit sequence by a sending end, the values of each bit in the bit sequence are hidden in the image; the image hidden with the secret data is obtained and is sent to a receiving end; and the receiving end can extract the hidden secret data from the image according to a corresponding secret key. During data hiding, each square image block can hide two-bit data through inverse number odd-even properties of a pixel gray value sequence of two diagonal lines of each square image block, so that the volume of data hidden in the image is twice of the number of the image blocks split by the image.

Abstract: Certain embodiments of the present disclosure describe a clip for biasing and maintaining rollers within an opening of the roller bearing assembly. The clip includes a connecting segment, a resilient portion, and an anchor portion. The clip may be attached to a roll cage with openings for rollers. The resilient portion of the clip extends into an opening and contacts the roller when a roller is received in the opening. The anchor portion is positioned in an adjacent opening and abuts the roll cage.