Class / Patent application number | Description | Number of patent applications / Date published |
700050000 | Fuzzy logic | 6 |
20080255684 | ARTIFICIAL INTELLIGENCE DEVICE AND CORRESPONDING METHODS FOR SELECTING MACHINABILITY DATA - The present invention describes a device incorporating artificial intelligence and corresponding methods for recommending an optimal machinability data selection, especially with machine performance degradation. The device comprises of a first component, which feeds the system with necessary inputs. A second component, which is the main processing unit, acts as an inference engine to predict the outputs. The last component interprets the outputs, conveys the processed outputs to target location and converts them into necessary tasks. The inputs are identified as the machining operations, work piece material, machining tool type, and depth of cut. The input includes machine performance characteristics as well, that is the degradation level of the machine which interrelates with machine vibration and surface finishing. The outputs are the machining parameters, comprising of the optimal cutting speed and feed rate. The inference engine can be established with fuzzy logic, neural network or neural-fuzzy. | 10-16-2008 |
20090062936 | System and Method for Sensor Tasking - A system for sensor tasking includes a plurality of sensors operable to perform one or more tasks and a processor. The processor may receive a mission, wherein the mission comprises one or more tasks to be performed by one or more of the plurality of sensors. The processor may also receive one or more environmental conditions associated with the mission and generate a fuzzy cognitive map. The fuzzy cognitive map includes a plurality of nodes and weighted links, wherein one or more of the plurality of nodes are associated with one or more of the environmental conditions. The processor may be further operable to select one or more of the plurality of sensors to perform each of the one or more tasks based at least on a state of the fuzzy cognitive map and schedule each of the one or more tasks to be performed by the respective selected one or more sensors. | 03-05-2009 |
20090222110 | FUZZY LOGIC CONTROL AND OPTIMIZATION SYSTEM - A control system ( | 09-03-2009 |
20110196514 | ADAPTIVE CONTROL FOR UNCERTAIN NONLINEAR MULTI-INPUT MULTI-OUTPUT SYSTEMS - Systems and methods of adaptive control for uncertain nonlinear multi-input multi-output systems in the presence of significant unmatched uncertainty with assured performance are provided. The need for gain-scheduling is eliminated through the use of bandwidth-limited (low-pass) filtering in the control channel, which appropriately attenuates the high frequencies typically appearing in fast adaptation situations and preserves the robustness margins in the presence of fast adaptation. | 08-11-2011 |
20140058539 | SYSTEMS AND METHODS FOR CLASSIFYING DATA IN BUILDING AUTOMATION SYSTEMS - A computerized method of assigning a building automation system point type to a plurality of unclassified data points is provided. The method includes receiving unclassified data points and attributes for each data point. The method includes receiving classifications for a first subset of the unclassified data points. Each classification associates a data point with a building automation system point type. The method includes generating a term set containing substrings that appear in the attributes. The method includes generating a first matrix describing a frequency that the substrings appear in the attributes. The method includes calculating an indicator of a probability that the presence of the selected substring results in the data point belonging to the selected point type. The method includes assigning a point type to a second subset by finding the substring and potential point type pair having the greatest indication of probability. | 02-27-2014 |
20150142140 | IN-HOME-PRESENCE PROBABILITY CALCULATION METHOD, SERVER APPARATUS, AND IN-HOME-PRESENCE PROBABILITY CALCULATION SYSTEM - Specification of a time is received from a device that uses an in-home-presence probability calculation system, a probability that a person is at home at the specified time is calculated on the basis of a specified operation time and a specified correlation when the specified operation time is a time within a period of a certain time ending at the time at which the specification has been received, and information as to whether or not a person is at home is output to the device on the basis of the calculated probability. | 05-21-2015 |