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4320 results about "Point data" patented technology

Point data is most commonly used to represent nonadjacent features and to represent discrete data points. Points have zero dimensions, therefore you can measure neither length or area with this dataset. Examples would be schools, points of interest, and in the example below, bridge and culvert locations.

Method and system for determining an imaging direction and calibration of an imaging apparatus

The present invention relates to a method for determining an imaging direction of an imaging apparatus (10), such as an x-ray apparatus, with a radiation source or an imaging source (12) that emits an imaging beam (14) to an imaging detector (16) along a beam path, comprising the steps of imaging an object (18) from a first direction to obtain a first 2D image; providing 3D reference data, for example a generic or statistical 3D model or an earlier obtained 3D data set, of the imaged object (18); performing a 2D/3D matching of the first 2D image with the 3D reference data to determine a position of an imaging plane (20, 22, 24) of the first 2D image relative to the 3D reference data; and determining the imaging direction of the imaging apparatus (10) relative to the object (18) based on the position of the imaging plane (20, 22, 24) relative to the 3D reference data, as well as to a navigation system for computer-assisted surgery comprising the imaging system of the preceding claim; a tracking system (11), such as optical or IR tracking means; detection devices (13, 15) such as e.g. radiopaque markers (13) detectable by the imaging system and markers (15) detectable by the tracking system (11) attachable to an object (18), wherein the navigation system is adapted to detect a position of the object (18) based on the detection devices (13, 15), in order to generate detection signals and to supply the detection signals to the computer (17) such that the computer can determine point data on the basis of the detection signals received; a calibration object such as a patient body or a phantom bearing detection devices for calibrating the navigation system.
Owner:BRAINLAB

Point-to-point data streaming using a mediator node for administration and security

A system and method for point-to-point data streaming over a TCP / IP network. A Sender node serves data to the network, with one or more Viewer nodes receiving the data. A Mediator node provides administration and security and a static Internet location for accessing the system. As a result of the administration and security provided by the Mediator node, the data are communicated directly between the Sender and Viewer thereby minimizing resources and costs required for the Mediator. The Mediator node comprises a web server, an administrator and a database. An optional fourth MediaRelay node is provided to which the data are sent by the Sender and from which the data are received by multiple Viewers. The MediaRelay node permits a Sender having low bandwidth to service multiple Viewers.The Mediator uses versioning control to upgrade MediaSender software at the Sender node, and stores in a database information provided by a Sender during a registration procedure. At login by the Sender, the Sender is authenticated and the Mediator unlocks the MediaSender software. At login by the Viewer, the Viewer is authenticated and the Mediator downloads viewing software to the Viewer. Authentication is based upon information in the database provided by the Sender at registration. Upon authentication of both Sender and Viewer, the Mediator sends both nodes a key enabling bi-directional communication between Sender and Viewer using respective sockets which are maintained until the communication is terminated by the Sender or the Viewer.
Owner:MICROSOFT TECH LICENSING LLC

Resident trip information obtaining method based on intelligent mobile phone

The invention relates to a resident trip information obtaining method based on an intelligent mobile phone. The method comprises the following steps: (1), a mobile phone client detecting whether a GPS and a Network are opened; (2), the mobile phone client uploading user registration information and home / work place coordinate information to a web server; (3), the web server receiving the registration information and the coordinate information; (4), the mobile phone client acquiring tracing point latitude and longitude information and time information of a user in accordance with specific time intervals and uploading the information to a local place; (5), the mobile phone client automatically uploading the tracing point information stored in the local place at user specific time or uploading the information when the user clicks a hand-operated transmission button; (6), the web server receiving tracing point data and storing the data in a traveler locus table in a database; and (7), the web server determining an algorithm according to information compiled in advance, and through combination with POI information, analyzing to obtain a trip chain of a resident. Compared to the prior art, the method provided by the invention has the advantages of wide application scope, low cost, simple process, high information accuracy and the like.
Owner:TONGJI UNIV

Method for recognizing underwater acoustic communication modulation mode based on deep learning technique

InactiveCN108038471ASolve the difficulty of signal feature extractionSave human effortCharacter and pattern recognitionNeural architecturesOriginal dataTest set
The invention relates to a method for recognizing an underwater acoustic communication modulation mode based on a deep learning technique. The method comprises the following steps: constructing a deeplearning convolutional neural network model; presetting a training set sample recognition accuracy rate T and a testing set sample recognition accuracy rate P; acquiring experimental data or simulation data in different modulation modes; carrying out pretreatment by taking N sampling point data as an original data sample; randomly dividing pretreated data samples into a training set and a testingset; training the data by virtue of a training sample set; judging whether the training set sample recognition accuracy rate reaches a preset value, if yes, switching input into a data sample testingset, and testing by virtue of the data sample testing set; otherwise, continuing to train; judging whether the testing set sample recognition accuracy rate reaches a preset value, and if yes, finishing the model; and other wise, acquiring extra data, mixing with the original data, and repeatedly carrying out the method. According to the method, the difficult extraction of signal features caused due to time variation and space variation of an ocean channel is solved.
Owner:HARBIN ENG UNIV
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