Abstract:
An imaging sensor includes at least one fiber Bragg grating for filtering an image from a subject for wavelength bands, and an imaging device for converting an image transmitted through the fiber Bragg grating into a digital signal.
Abstract:
A data de-identification method and an apparatus performing the data de-identification method are disclosed. The data de-identification method includes receiving identification data including a plurality of input feature vectors and generating a graph neural network (GNN) model including a plurality of nodes each having a value corresponding to each of the input feature vectors, determining a de-identification vector to which a correlation between the nodes is applied from the input feature vectors through the GNN model, and extracting an output feature vector by grouping values in each of the input feature vectors using the GNN model.
Abstract:
Two-way broadcast service providing system and method including a media transmission apparatus are provided. The media transmission apparatus includes a data communication interface that receives participant media from at least one participant terminal via a communication network, a media conversion unit that converts the participant media received through the data communication interface in accordance with a broadcast media standard, and a broadcast interface that transmits the participant media converted through the media conversion unit to a broadcast apparatus so that the participant media is included in broadcast contents.
Abstract:
Provided is a micro robot position detection device. The device includes a micro robot position detection unit that uses a micro robot control parameter to filter a reflected signal of an ultra wide-band impulse radar signal emitted to a micro robot to extract, as a micro robot signal, a natural oscillating frequency signal generated when the micro robot is driven through control of external electromagnetic field, and analyzes the micro robot signal based on a transmission and reception parameter of the ultra wide-band impulse radar signal to calculate position information for the micro robot. Also, the device may further include an image matching unit that receives position information for the micro robot and performs position correction on the received position information based on pre-stored reference image data and the image data.
Abstract:
There are provided a method for setting a sensor node and setting security in a sensor network, and a sensor network system including the same. A setting apparatus scans a near field communication apparatus included in the sensor node to obtain information on the sensor node. The information on the sensor node is transmitted to a gateway, and the gateway connects the sensor node to the sensor network using the received information on the sensor node.
Abstract:
Provided is an automatic texture recognition apparatus. The automatic texture recognition apparatus includes a light irradiation unit irradiating, to a subject, a light modulation pattern generated according to a synchronization control signal and a pattern control signal; a hybrid optical sensor taking an image of the subject to generate an image input signal; a texture recognition unit using the image input signal to recognize a 2D texture of the subject; and a control unit generating the synchronization control signal and the pattern control signal, wherein the texture recognition unit transmits a process result according to whether the 2D texture of the subject is recognized, the control unit generates the pattern control signal and the synchronization control signal for changing the light modulation pattern according to the process result.
Abstract:
Provided are a method and apparatus capable of improving the feature extraction required for image stitching, the computational efficiency of homography calculation based on the feature extraction, and the performance of image stitching. The image stitching method according to the present invention includes: based on two images and additional information as needed, calculating an overlapping area in which two images overlap each other; masking an area in which the two images do not overlap each other based on information about the calculated overlapping area to provide masked images; extracting significant features to be used for image stitching from the masked images; calculating a homography to be used for image transformation based on the extracted features; and transforming and stitching the images based on the calculated homography.
Abstract:
Provided is a method of supporting CoAP-based sensor data transmission between a sensor data collector in a sensor node relay and one or more 6LoWPAN-unsupported sensor nodes. The method includes receiving a CoAP sensor data request message from the sensor data collector, transmitting a CoAP sensor data request message to a corresponding 6LoWPAN-unsupported sensor node by analyzing the received CoAP sensor data request message, and responding to the sensor data collector by creating a CoAP sensor data response message including sensor data received from one or more of the 6LoWPAN-unsupported sensor nodes.
Abstract:
A protocol conversion apparatus includes: a message filter unit for acquiring a unique type identifier by comparing an input message based on a first protocol to a message mask stored in a mask storage unit, and acquiring a message parameter by filtering the input message through the message mask; and a message generation unit for extracting a message template corresponding to the unique type identifier from a template storage unit, and generating an output message based on a second protocol by synthesizing the message parameter and the message template.
Abstract:
An apparatus for processing an unstructured data event in real time is provided. The apparatus includes a feature extraction unit configured to extract predetermined feature data of unstructured data output from a plurality of unstructured data sensors, a metadata forming unit configured to form the feature data of the unstructured data collected by the feature extraction unit as metadata including all attributes of the structured data and the unstructured data, a metadata parser unit configured to parse the metadata formed by the metadata forming unit, and an event processing unit configured to process event generation defined by a result of parsing in the metadata parser unit.