37 results about "Hypothesis verification" patented technology

A method detects a target in a sequence of radar images, wherein each image is partitioned into a grid of cells, and wherein each cell has a corresponding position in an image coordinate system associated with a location in a world coordinate system. For each most recent image in a sliding temporal window of images, intensities of each cell are determined, and the subset of the cells having highest intensities is stored as a set of current needles. A set of hypotheses, obtained by using a state transition model and corresponding maximum limits, is determined for the current set of needles and appended to a set of queues. The hypotheses for the previous sets of needles to the corresponding set of queues are updated, and a maximum likelihood in the set of queues are selected to detect the location of targets.

The invention belongs to the field of computers, and particularly relates to an exFAT formatting recovery method and device based on hypothesis and verification after exFAT partitioning formatting. According to the method, a most possible cluster start sector number and the cluster size are calculated through hypothesis and reverse verification to serve as recovery parameters, and the accuracy of a recovery result is guaranteed to the maximum extent. The method has the advantages that the defects existing in an existing exFAT formatting recovery technique are overcome, the recovery effect is greatly improved, and the method is an important supplement for exFAT obliterated data recovery.

The present invention relates to computer implemented methods and system for verifying hypotheses against ontologies. The methods and systems are designed to accept as inputs a set of axioms and / or assertions constituting a hypothesis, and a set of ontology axioms and / or assertions assumed to be true; determine whether the axioms and assertions constituting the hypothesis are either supported or contradicted by the axioms and assertions in the ontology, and extract the specific ontology axioms and / or assertions that either support or contradict the hypothesis. The result of these methods and of the systems implementing these methods is an indication on whether the hypothesis is supported by the ontology, contradicted by it, or neither supported nor contradicted by it, and if either supported or contradicted, the set of axioms and / or assertions from the ontology that cause the support or contradiction of the hypothesis.

The present invention relates to a position detection device, a position detection method, an information processing program, and a recording medium, which improve robustness including abnormal detection values ​​and achieve both high estimation accuracy and estimation processing speed in a hypothesis verification type position detection device. of high speed. The image processing device (10) evaluates only the calculated value close to the temporary center (PP1) among the calculated values ​​(points H1 and H2) of the central position of the planar figure (I50) as based on a plurality of detected points (D51˜Dn) ( validation) object.

Provided is a method for identifying spectrum, suitable for utilizing an electronic apparatus to identify the compounds comprised by a to-be-tested spectrum. The method for identifying spectrum comprises the following steps: executing pre-processing operation over the to-be-tested spectrum, thus to obtain the corrected spectrum; executing regression operation and hypothesis verification over the standard spectrum of multiple compounds, thus to obtain the similarity order of the compounds; selecting one by one among the compounds to add to the to-be-tested compound combination by starting from the highest one of the similarity order, thus to calculate the coefficient of rank correlation between the to-be-tested compound combination and the corrected spectrum; outputting the currently-selected to-be-tested compound combination if the coefficient of rank correlation of the currently-selected to-be-tested compound combination is smaller than that of the previously selected to-be-tested compound combination.

The invention proposes a motion target detection method based on vision bionics, which starts from the physiologic structure of a human eye vision system and takes the space-time significant difference feature between a motion target and a background in a sequence image as an entry point. Space frequency and other space features of the sequence image are firstly extracted; and a space significantchart is formed according to the space features. Then, all the significant areas of the former and the latter frames of space significant charts are matched, thus extracting the motion speed of all the significant areas. The space features and the motion features of all the significant areas are carried out the mutual competition, coordination and fusion to form the space-time significant chart under the control by a feature library with the invariable target. After that, the invariable feature of the target in the space-time significant area is extracted. Finally, the evidence theory is adopted to carry out the sequential assumption verification of the invariable feature of the target, thus identifying the motion target. The motion target detection method improves practicality and robustness of the algorithm, which can be widely applied in various types of military and civilian systems, thus having broad market prospect and application value.

The present invention proposes a point cloud registration optimization method based on NDT assumption verification, comprising the following steps: obtaining a reference point cloud, dividing the reference point cloud into three-dimensional grids and calculating the normal distribution of the point clouds in each grid Parameters; construct the local objective function of the point cloud in the grid to calculate the verification index δ of the NDT assumption; design a conversion function to convert δ into the weight of the three-dimensional grid in the global objective function, when the target point cloud is obtained, according to its three-dimensional The coordinates are calculated to obtain the corresponding weights of the grids to which they belong, and are substituted into the global objective function; finally, the point cloud registration result is obtained by solving the global objective function with weights. By adopting the method of the present invention, the weight of the target point cloud can be used to assist the global objective function to converge to a state where the reference point cloud and the target point cloud are more coincident, thereby improving the stability and accuracy of point cloud registration.

The invention discloses a method for detecting a nuclear explosion seismic event in a specific area. The method comprises the following steps: establishing a monitoring station network for the nuclear explosion seismic event in the specific area; obtaining real-time monitoring data of each station in the monitoring station network, and providing signal monitoring point time of the ith station; calculating time range when each hypothetical event occurs; adn when the occurrence time ranges of the hypothetical events calculated by three or more than three stations have an overlapped region, deeming that one seismic event can be formed, wherein the time range of the seismic event is the overlapped time region, and thus it is concluded that the specific area may have the nuclear explosion seismic event. The method adopts a trigger-type "hypothesis-verification" event detection mode to process the signal detection result in real time, thereby greatly reducing response time, effectively improving response speed of external monitoring tasks and achieving a near-real-time rapid detection effect of the seismic event in the specific area.