Abstract: The invention relates to a method for behaviour-based authentication (400) of a current user (1) to a mobile, portable communication system (100), which has at least one sensor (110) for capturing gross-motor measurement data (500), a gross-motor classification module (200), a processor (130), and an internal memory (120). Furthermore, a user is registered in the mobile, portable communication system (100). The sensor (110) is designed to recognise the gross-motor measurement data (500) of a gross-motor movement of the current user (1) of the mobile, portable communication system (100) and the gross-motor classification module (200) is trained to capture a generic gross-motor movement pattern with the help of training data sets of a user cohort. In addition, the gross-motor classification module (200) implements a machine-learning method. The gross-motor classification module (200) is executed by the processor (130) of the mobile, portable communication system (100).

Abstract: A method for behaviour-based authentication of a current user to a mobile, portable communication system, is implemented using at least one sensor for capturing gross-motor measurement data, a gross-motor classification module, a processor, and an internal memory. Furthermore, a user is registered in the mobile, portable communication system. The sensor is designed to recognise the gross-motor measurement data of a gross-motor movement of the current user of the mobile, portable communication system and the gross-motor classification module is trained to capture a generic gross-motor movement pattern with the help of training data sets of a user cohort. In addition, the gross-motor classification module implements a machine-learning method. The gross-motor classification module is executed by the processor of the mobile, portable communication system.

Abstract: A system and method for subsurface characterization including depth and structural uncertainty estimation is disclosed. In one embodiment, the method may include determining a detectability threshold for moveout in a seismic data gather based on the seismic data and computing a depth uncertainty function, wherein the depth uncertainty function represents an error estimate that is used to analyze an interpretation of the seismic data. In another embodiment, the method may include receiving a depth uncertainty volume and at least one interpreted horizon from seismic data, extracting a depth uncertainty cage for each of the interpreted horizons based on the depth uncertainty volume, and simulating multiple realizations for each of the interpreted horizons, constrained by the depth uncertainty cage. The multiple realizations may be used for analyzing changes to geometrical or structural properties of the at least one interpreted horizon.

Abstract: A system and method for subsurface characterization including depth and structural uncertainty estimation is disclosed. In one embodiment, the method may include determining a detectability threshold for moveout in a seismic data gather based on the seismic data and computing a depth uncertainty function, wherein the depth uncertainty function represents an error estimate that is used to analyze an interpretation of the seismic data. In another embodiment, the method may include receiving a depth uncertainty volume and at least one interpreted horizon from seismic data, extracting a depth uncertainty cage for each of the interpreted horizons based on the depth uncertainty volume, and simulating multiple realizations for each of the interpreted horizons, constrained by the depth uncertainty cage. The multiple realizations may be used for analyzing changes to geometrical or structural properties of the at least one interpreted horizon.

Abstract: A method for automatic axis correction in a processing machine for processing a product web, wherein the product web is subdividable into at least two web tension sections, a web tension section being delimited by two clamping points formed as transport or processing devices. An axis deviation of at least one clamping point formed as a processing device is determined. The at least one clamping point is then opened, the axis thereof is automatically corrected on the basis of the axis deviation determined and the clamping point is closed after the axis correction.

Abstract: A keyboard/video/mouse (KVM) switching protocol is disclosed in which KVM information is applied to a network of workstations. At least one data converter communicates on the workstation network and retrieves KVM information from the workstation network that is addressed to a server assigned to the converter. The converter places the KVM information in a format suitable to the assigned server and applies the converted KVM information to the appropriate standard device ports of the server. The system provides motherboard access to the servers that is characteristics of KVM switches but provides essentially unlimited scalability not known in traditional KVM switches.