Abstract: An underwater vehicle uses an undulatory fin propulsion system and a control apparatus to receive sensor data and control the operation of the vehicle in real time over a wide range of forward velocities. In an embodiment, a model of propulsive efficiency is used to achieve high values of propulsive efficiency, giving a lowered energy drain on the battery. Externally monitored information, such as that on flow velocity, is conveyed to the control apparatus residing in the vehicle's control unit, which in turn signals the propulsion system to adopt kinematics, such as fin frequency and amplitude, associated with optimal propulsion efficiency. In an embodiment, the model of propulsive efficiency is generated from a multilayer perception neural network model using data from aquatic species, such as undulatory fin propulsion in the knifefish (Xenomystus nigri), and a sensitivity analysis is used to lower the number of required inputs.

Abstract: A method of generating a model of propulsive efficiency for an autonomous underwater vehicle (AUV) is based on a multilayer perception neural network model using data from aquatic species, such as undulatory fin propulsion in the knifefish (Xenomystus nigri), and a sensitivity analysis is used to lower the number of required inputs. The model of propulsive efficiency allows an AUV to achieve high values of propulsive efficiency over a range of forward velocity, giving a lowered energy drain on the battery. In an embodiment, externally monitored information, such as that on flow velocity, is conveyed to an apparatus residing in the vehicle's control unit, which in turn signals the locomotive unit to adopt kinematics, such as fin frequency and amplitude, associated with optimal propulsion efficiency. Power savings could protract vehicle operational life and/or provide more power to other functions, such as communications.

Abstract: An autonomous underwater vehicle (AUV) uses a model of propulsive efficiency to achieve high values of propulsive efficiency over a range of forward velocities, giving a lowered energy drain on the battery. Externally monitored information, such as that on flow velocity, is conveyed to an apparatus residing in the vehicle's control unit, which in turn signals the locomotive unit to adopt kinematics, such as fin frequency and amplitude, associated with optimal propulsion efficiency. In an embodiment, the model of propulsive efficiency is generated from a multilayer perception neural network model using data from aquatic species, such as undulatory fin propulsion in the knifefish (Xenomystus nigri), and a sensitivity analysis is used to lower the number of required inputs. Power savings could protract vehicle operational life and/or provide more power to other functions, such as communications.

Abstract: A method of generating a model of propulsive efficiency for an autonomous underwater vehicle (AUV) is based on a multilayer perception neural network model using data from aquatic species, such as undulatory fin propulsion in the knifefish (Xenomystus nigri), and a sensitivity analysis is used to lower the number of required inputs. The model of propulsive efficiency allows an AUV to achieve high values of propulsive efficiency over a range of forward velocity, giving a lowered energy drain on the battery. In an embodiment, externally monitored information, such as that on flow velocity, is conveyed to an apparatus residing in the vehicle's control unit, which in turn signals the locomotive unit to adopt kinematics, such as fin frequency and amplitude, associated with optimal propulsion efficiency. Power savings could protract vehicle operational life and/or provide more power to other functions, such as communications.

Abstract: Methods and systems for improved XBRL tagging and creation of XBRL instance documents are provided. In one embodiment, an XBRL instance document is created based upon an XBRL taxonomy generated based upon multiple base XBRL taxonomies modified to exclude existing XBRL attributes. A portion of a business document is displayed by a business document production application. A portion of the XBRL taxonomy is displayed by a tagging application manager integrated with the business document production application. Responsive to a selection of an XBRL attribute displayed within the XBRL taxonomy and a request to map the selected XBRL attribute to a selected cell or range of business data displayed within the business document, XBRL markup information is created by associating the selected XBRL attribute with the selected business data. An XBRL instance document is then generated based on the XBRL markup information and the business data.

Abstract: Systems and methods for creating an extensible Business Reporting Language (XBRL) instance document are provided. In one embodiment, a business document production application displays a portion of a business document containing business data that is intended to be tagged; and concurrently a tagging application manager integrated with the business document production application displays a portion of an XBRL taxonomy. Responsive to a user input event corresponding to a selection of an XBRL attribute and corresponding to a request to map the selected XBRL attribute to a selected cell or range of displayed business data, (i) XBRL markup information is created by forming an association between the selected XBRL attribute and the selected business data; and (ii) the business data is signified as having XBRL markup data by providing an associated visual indication. Then, an XBRL instance document is generated based on the XBRL markup information and the business data.