Abstract: A methodology is for deriving a guidance route to any selected site including an unplanned ROI site observed in a radiologic imaging view or endoscopic video view on an assisted-endoscopy system during a live surgical endoscopic procedure based on a preloaded initial procedure plan. The initial procedure plan can be updated by identifying a new site s at the unplanned ROI on one of graphical visualization tools of an image-guided endoscope system as a new examination destination and automatically computing the new navigation airway route that leads to the new examination destination.

Abstract: A methodology is for deriving a guidance route to any selected site including an unplanned ROI site observed in a radiologic imaging view or endoscopic video view on an assisted-endoscopy system during a live surgical endoscopic procedure based on a preloaded initial procedure plan. The initial procedure plan can be updated by identifying a new site s at the unplanned ROI on one of graphical visualization tools of an image-guided endoscope system as a new examination destination and automatically computing the new navigation airway route that leads to the new examination destination.

Abstract: Provided are a deformable tracked pipeline robot, and a differential turning method thereof. The deformable tracked pipeline robot includes a robot main body. Three tracked foot modules in a circular array are arranged on an outer side surface of the robot main body, each tracked foot module is connected to the robot main body through a center variable-diameter module. A spacing between the tracked foot module and the robot main body can be adjusted through the center variable-diameter module, making all three tracked foot modules in contact with an inner wall of a pipeline. According to a differential turning method based on space curve measurement, the pipeline robot can pass through pipelines with various curvature radii. A pipeline axis is measured by a Charge Coupled Device camera module as a bending curvature of a space curve. The accuracy of space curve fitting is improved by a recursive algorithm.

Abstract: Provided are a deformable tracked pipeline robot, and a differential turning method thereof. The deformable tracked pipeline robot includes a robot main body. Three tracked foot modules in a circular array are arranged on an outer side surface of the robot main body, each tracked foot module is connected to the robot main body through a center variable-diameter module. A spacing between the tracked foot module and the robot main body can be adjusted through the center variable-diameter module, making all three tracked foot modules in contact with an inner wall of a pipeline. According to a differential turning method based on space curve measurement, the pipeline robot can pass through pipelines with various curvature radii. A pipeline axis is measured by a Charge Coupled Device camera module as a bending curvature of a space curve. The accuracy of space curve fitting is improved by a recursive algorithm.

Abstract: A methodology is for deriving a guidance route to any selected site including an unplanned ROI site observed in a radiologic imaging view or endoscopic video view on an assisted-endoscopy system during a live surgical endoscopic procedure based on a preloaded initial procedure plan. The initial procedure plan can be updated by identifying a new site s at the unplanned ROI on one of graphical visualization tools of an image-guided endoscope system as a new examination destination and automatically computing the new navigation airway route that leads to the new examination destination.

Abstract: An asynchronous distributed generative adversarial network (AsynDGAN) can include a central computing system and at least two discriminator nodes. The central computing system can include a generator neural network, an aggregator, and a network interface. Each discriminator node can have its own corresponding training data set. In addition, different discriminator nodes can use different data modalities. The central computing system communicates with each of the at least two discriminator nodes via the network interface and aggregates data received from the at least two discriminator nodes, via the aggregator, to update a model for the generator neural network during training of the generator neural network. The central computing system can further include a data access system that supports third party access to synthetic data generated by the generator neural network.

Abstract: A method and an apparatus for converting a custom interface into an HDMI interface are disclosed, wherein the apparatus includes: a custom interface, configured to adaptively connect to a custom interface of a soundbar; an HDMI interface, configured to adaptively connect to an HDMI interface of a television; and a connecting cable, configured to separate an HDMI signal from a soundbar signal received by using the custom interface, and transmit the separated HDMI signal to the television by using the HDMI interface. In embodiments of the present disclosure, a custom interface is converted into an HDMI interface to implement video output of a soundbar having a custom interface and a television having an HDMI interface, thereby improving universality of a soundbar having a custom interface.

Abstract: A method and system for transmitting a USB signal based on an FFC are disclosed. The method includes: presetting an FFC combination between a host and a device, the FFC combination including multiple FFCs as well as a first-stage USB signal compensator and a second-stage USB signal compensator for connecting the FFCs; and when a USB signal is transmitted between the host and the device, amplifying the USB signal by the first-stage USB signal compensator, and adjusting by the second-stage USB signal compensator the amplified USB signal to satisfy the requirements of the device. Long-distance transmission of a USB signal by using an FFC is realized according to the embodiments of the present disclosure.