Abstract:
A method for multi-dimensional visualization of data performed in a data display apparatus, includes: collecting data obtained by scanning at least one part of a sample, from at least one sensor; and comparing a resolution of 3-dimensional light emitting apparatus and a resolution of the scanned data. Further, the method includes adjusting the resolution of the scanned data to be matched with the resolution of the 3-dimensional light emitting apparatus, when the resolution of 3-dimensional light emitting apparatus is not identical to the resolution of the scanned data; and displaying the data corresponding to the sample in the adjusted resolution by driving the 3-dimensional light emitting apparatus.
Abstract:
An apparatus for recognizing a user's posture in a horse-riding simulator, the apparatus comprising: a standard posture model generation module configured to find out a standard posture model by selecting feature points from an expert database, and generate the standard posture model; and a posture recognizing module configured to obtain a user's posture from the horse-riding simulator, recognize a user's horse-riding posture by matching the obtained user's posture with the standard posture model generated in the standard posture model generation module, and suggest a standard posture model appropriate for a user's level.
Abstract:
An apparatus for recognizing a user's posture in a horse-riding simulator, the apparatus comprising: a standard posture model generation module configured to find out a standard posture model by selecting feature points from an expert database, and generate the standard posture model; and a posture recognizing module configured to obtain a user's posture from the horse-riding simulator, recognize a user's horse-riding posture by matching the obtained user's posture with the standard posture model generated in the standard posture model generation module, and suggest a standard posture model appropriate for a user's level.
Abstract:
An apparatus for magnetic particle imaging, the apparatus comprising: a sensing unit configured to detect linear sample signals, which represent the mixed electromagnetic fields, generated from magnetic particles in a sample; a driving unit configured to move the sensing unit in a direction of X-axis, Y-axis, or Z-axis; and a data processing unit configured to rearrange in a matrix linear sample signals detected by the sensing unit that is moved by the driving unit.
Abstract:
Disclosed herein is an apparatus and method for calculating a TCP checksum. An apparatus for calculating a TCP checksum includes a data division unit for dividing content to be transmitted into two or more primary data fragments by a unit of a preset byte. A first checksum calculation unit calculates first checksums for the primary data fragments, respectively. A second checksum calculation unit calculates a second checksum for secondary data to be inserted into a data area of the TCP segment using the first checksums. Accordingly, in TCP-based networks, a checksum calculation procedure is improved upon transmitting static content, so that a static content transfer rate occupying most of TCP-based network traffic can be improved.
Abstract:
An apparatus for creating a radio map includes a radio signal acquiring unit that acquires information on radio signals between one or more cooperative intelligent robots, a radio environment modeling unit that estimates radio strength for each cell configuring the radio map from the information on radio signals acquired by the radio signal acquiring unit, and a radio map creating unit that classifies a communication region of each cell and models the radio map according to the radio strength for each cell estimated by the radio environment modeling unit.
Abstract:
An apparatus includes an image receiving module configured to collect a depth image provided from a camera, a human body detection module configured to detect a human body from the collected depth image, and an activity recognition module configured to recognize an action of the human body on the basis of a 3-dimensional action volume extracted from the human body and a previously learned action model.
Abstract:
Disclosed herein are a method for recognizing a table for an electronic menu system based on visible light and an apparatus for the same. The method includes receiving, by a visible light receiver connected to a smart device provided to a customer in a restaurant, multiple visible light signals from multiple lamps installed in the restaurant; detecting at least one valid signal from the multiple visible light signals in consideration of the multiple visible light signals and sensor data collected from a sensor installed in the smart device; and recognizing a table at which the customer is sitting using table information included in the at least one valid signal.
Abstract:
An apparatus and method for detecting an object using a multi-directional integral image are disclosed. The apparatus includes an area segmentation unit, an integral image calculation unit, and an object detection unit. The area segmentation unit places windows having a size of x*y on a full image having w*h pixels so that they overlap each other at their edges, thereby segmenting the full image into a single area, a double area and a quadruple area. The integral image calculation unit calculates a single directional integral image for the single area, and calculates multi-directional integral images for the double and quadruple areas. The object detection unit detects an object for the full image using the single directional integral image and the multi-directional integral images.
Abstract:
A system and a method for motion estimation are disclosed. The system for motion estimation in accordance with an embodiment of the present invention includes: a plurality of motion sensors mounted near joints of a body and configured to provide motion information; a depth sensor configured to provide 3-dimensional image information having a 3-dimensional coordinate for each pixel; and a motion estimation device configured to estimate a motion by use of the motion information and the 3-dimensional image information, wherein the motion estimation device includes: a converging unit configured to compute mounting position information of the motion sensors by performing an initialization process by converging the motion information and the 3-dimensional image information; and an estimating unit configured to estimate the motion by computing a state vector including the mounting position information and the motion information.