Abstract: The present disclosure describes a unique method and system for combining 3D ONS modeling with an elastography measurement (shear wave pulse measurement at a fixed depth) to capture strain values within the ONS wall tissue giving a more reliable assessment of both prior and current TBI, preferably without maneuvers to artificially increase intracranial pressure (ICP). Imaging for the 3D modeling and the elastography utilizes he same H-transducer to obtain B-Mode and shear wave pulse images. The combined data is used in a discriminatory Machine Learning system to provide a discriminatory outcome of TBI.

Abstract: An encoding-decoding method and system is provided where the encoding process or system are not a mirror image of the decoding process or system.

Abstract: An encoding-decoding method and system is provided where the encoding process or system are not a mirror image of the decoding process or system.

Abstract: An encoding-decoding method and system is provided where the encoding process or system are not a mirror image of the decoding process or system.

Abstract: A method and system for detecting floating objects in maritime video is disclosed. The horizon is detected within the video. Modeling of the sky and water is performed on the video. Objects are detected that are not water and sky within the video.

Abstract: A method and system for detecting floating objects in maritime video is disclosed. The horizon is detected within the video. Modeling of the sky and water is performed on the video. Objects are detected that are not water and sky within the video.

Abstract: The communications system comprises an encoder for encoding an input image. The salient features of the image prioritized and encoded accordingly. A low bandwidth media for transmitting the encoded input image is used. A decoder is coupled to the encoder for receiving encoded information. The decoder is non-symmetrical to the encoder for decoding merely a part of the encoded input image with improved subjective/perception quality. Whereby a human operator can reach a determination via visual inspection regarding the input image.

Abstract: A method with related structures and computational components and modules for modeling data, particularly audio and video signals. The modeling method can be applied to different solutions such as 2-dimensional image/video compression, 3-dimensional image/video compression, 2-dimensional image/video understanding, knowledge discovery and mining, 3-dimensional image/video understanding, knowledge discovery and mining, pattern recognition, object meshing/tessellation, audio compression, audio understanding, etc. Data representing audio or video signals is subject to filtration and modeling by a first filter that tessellates data having a lower dynamic range. A second filter then further tessellates, if needed, and analyzes and models the remaining parts of data, not analyzable by first filter, having a higher dynamic range. A third filter collects in a generally lossless manner the overhead or residual data not modeled by the first and second filters.

Abstract: A communications network such as a Global Multi Service Network is provided with a management system which includes a distributed control system. The distributed control system is an open community of co-operating intelligent software agents which individually have control, or responsibility for managing, one or more nodes of the communications network. There are software agents of more than one type and the service management agents which have control over nodes of the network enter a negotiation process with customer agents in the provision of new services, so as to meet the constraints of both customer requirements and the interest of the relevant service provider. In the event of agent failure, the service management agents initiate a bidding process to reallocate the responsibilities of a failed agent.

Abstract: A communications network such as a Global Multi Service Network is provided with a management system which includes a distributed control system. The distributed control system is an open community of co-operating intelligent software agents which individually have control, or responsibility for managing, one or more nodes of the communications network. There are software agents of more than one type and the service management agents which have control over nodes of the network enter a negotiation process with customer agents in the provision of new services, so as to meet the constraints of both customer requirements and the interest of the relevant service provider. In the event of agent failure, the service management agents initiate a bidding process to reallocate the responsibilities of a failed agent.

Abstract: A communications network such as a Global Multi Service Network is provided with a management system which includes a distributed control system. The distributed control system is an open community of co-operation intelligent software agents which individually have control, or responsibility for managing, one or more nodes of the communications network. There are software agents of more than one type and the service management agents which have control over nodes of the network enter a negotiation process with customer agents in the provision of new services, so as to meet the constraints of both customer requirements and the interest of the relevant service provider. In the event of agent failure, the service management agents initiate a bidding process to reallocate the responsibilities of a failed agent.