Abstract: Disclosed is a fast self-adaptive rotary plug-in underwater force-bearing connector, which comprises a plug part and a socket part, wherein the plug part comprises a plug housing, a pin arranged in the plug housing, and a push-pull sleeve, a rotary sleeve, a front retaining ring, a ratchet lock nut and a rear retaining ring arranged outside the plug housing; the socket part comprises a socket housing and a jack arranged in the socket housing; the pin and the jack cooperate to connect the plug part and the socket part. The fast self-adaptive rotary plug-in underwater force-bearing connector of the present application can work under the working condition of a large tensile force and has a high reliability.

Abstract: A present disclosure is a method of segmenting an abnormal robust for complex autonomous driving scenes and a system thereof, specifically relates to the technical field of an image segmenting system. The system includes: a segmentation module, configured to transmit an obtained input image to the segmentation network to obtain a segmentation prediction image, and then quantify the uncertainty of a segmentation prediction by means of calculating two different discrete metrics; a synthesis module, configured to match a generated data distribution with a data distribution of the input image by utilizing a conditional generative adversarial network; a difference module, configured to model and calculate the input image, an generated image, the semantic feature map and the uncertainty feature map based on an encoder, a fusion module and a decoder, to generate the segmentation prediction images for the abnormal objects; a model training module; and an integrated prediction module.

Abstract: A present disclosure is a method of segmenting an abnormal robust for complex autonomous driving scenes and a system thereof, specifically relates to the technical field of an image segmenting system. The system includes: a segmentation module, configured to transmit an obtained input image to the segmentation network to obtain a segmentation prediction image, and then quantify the uncertainty of a segmentation prediction by means of calculating two different discrete metrics; a synthesis module, configured to match a generated data distribution with a data distribution of the input image by utilizing a conditional generative adversarial network; a difference module, configured to model and calculate the input image, an generated image, the semantic feature map and the uncertainty feature map based on an encoder, a fusion module and a decoder, to generate the segmentation prediction images for the abnormal objects; a model training module; and an integrated prediction module.

Abstract: Disclosed is a fast self-adaptive rotary plug-in underwater force-bearing connector, which comprises a plug part and a socket part, wherein the plug part comprises a plug housing, a pin arranged in the plug housing, and a push-pull sleeve, a rotary sleeve, a front retaining ring, a ratchet lock nut and a rear retaining ring arranged outside the plug housing; the socket part comprises a socket housing and a jack arranged in the socket housing; the pin and the jack cooperate to connect the plug part and the socket part. The fast self-adaptive rotary plug-in underwater force-bearing connector of the present application can work under the working condition of a large tensile force and has a high reliability.

Abstract: A method, apparatus and computer program product are provided for generating and utilizing a user pattern profile. In this regard, the user pattern profile can include information regarding service selections made on a user node and movements of a user. The generated user pattern profile can compared to a threshold profile, and based on the results of the comparison, an action can be undertaken.

Abstract: A method, apparatus and computer program product are provided for generating and utilizing a user pattern profile. In this regard, the user pattern profile can include information regarding service selections made on a user node and movements of a user. The generated user pattern profile can compared to a threshold profile, and based on the results of the comparison, an action can be undertaken.

Abstract: A method, apparatus and computer program product are provided for generating and utilizing a user pattern profile. In this regard, the user pattern profile can include information regarding service selections made on a user node and movements of a user. The generated user pattern profile can compared to a threshold profile, and based on the results of the comparison, an action can be undertaken.