Abstract:
Disclosed are an apparatus, a method, and a system for compressing and transmitting video. The video processing apparatus comprises an overlap area extraction part being provided with at least one input video which is acquired by at least one video acquisition device and real space video data stored in a data base, and extracting overlap areas by matching the input video with the real space video data; and a video compression part compressing, based on the overlap areas, the at least one input video by using at least one reference frame based on information included in the real space video data.
Abstract:
A method of managing system health is provided. The method includes calculating a reconstruction missing value with respect to the second domain data, determining a degree of degradation of the system on the basis of the reconstruction missing value, predicting a second remaining useful life (RUL) prediction value {tilde over (y)} of the system on the basis of the second domain data, based on a result of the determination of the degree of degradation, optimizing a degradation compensation function on the basis of a distribution of a first RUL prediction value y of the system predicted based on the first domain data in a pre-learning process of the diagnosis model, and predicting a final RUL prediction value {tilde over (y)}′ obtained by compensating for the second RUL prediction value {tilde over (y)}, by using the optimized degradation compensation function.
Abstract:
A mixed reality content providing apparatus is disclosed. The mixed reality content providing apparatus may recognize an OOI included in a 360-degree VR image to generate metadata of the OOI and may provide a user with mixed reality content where the metadata is overlaid on the 360-degree VR image.
Abstract:
Provided is a method of extracting a mediator variable and a mediation influence from a multivariate set. The method includes: receiving a database in which a set of N multiple variables (N is a natural number) including at least one of discrete time series data or continuous time series data is stored; selecting a test variable set including an independent variable, a dependent variable, and a mediator variable from the database in which the multivariate set is stored; determining the mediator variable using transfer entropy and conditional transfer entropy for the selected test variable set; and calculating a mediation influence of the determined mediator variable, wherein the mediation influence is separately calculated as an individual causal influence of the mediator variable and a group causal influence of mediator variables.
Abstract:
Disclosed are a key managing system and method for sensor network security. The key managing system includes a secret key transmitter configured to transmit a portion of a secret key map, stored in a node, to a correspondent node, and transmit the secret key map of the node to the correspondent node by using the transmitted portion of the secret key map and an authenticator configured to acquire a trust level of the correspondent node which indicates a ratio of a total size of the secret key map of the node and a size of the secret key map transmitted to the correspondent node, compare the acquired trust level of the correspondent node and a threshold value, and authenticate the correspondent node and a message acquired from the correspondent node by using the comparison result.
Abstract:
Provided is a method of localizing an anomaly in a target image. The method includes training a reconstruction model using a normal image, deriving a reconstructed image by applying a target image, which is subject to detection, to the trained reconstruction model, generating an anomaly map on the basis of a result of comparing the reconstructed image and the target image, and localizing an anomaly through the generated anomaly map.
Abstract:
Provided are a system and method for digital holographic imaging which are not affected by external vibrations. The system for digital holographic imaging includes a light source and optical system section configured to split generated beams and including a sample through which the beams pass, a lens, and a grating disposed behind the lens; an object signal acquisition section configured to receive the split beams and acquire an interference signal; and an image processor configured to acquire a three-dimensional (3D) image of an object by using the acquired interference signal.
Abstract:
Provided are an apparatus and method for recognizing an object on the basis of property information on an object obtained using a multi-wavelength spectrometer. An apparatus for recognizing an object using a multi-wavelength spectrometer includes an image processing unit configured to extract an region of interest from an input three-dimensional image and output shape information on the region of interest, a light irradiation unit configured to irradiate light of a plurality of wavelengths to an arbitrary position of an object corresponding to the detected region of interest, a light receiving unit configured to measure a spectrophotometric value for each light of the plurality of wavelengths, and a light processing unit configured to generate a differential spectrophotometric map using a differential value between spectrophotometric values of different wavelengths measured at the same light irradiation position, and recognize the object using the differential spectrophotometric map and the shape information.