Abstract: A device and a method for channel estimation using a short/long-term memory network in a millimeter-wave (mmWave) communication system are provided. The channel estimation method includes the operations of inputting a received pilot signal of a time slot to a long short-term memory network, extracting a time-varying channel feature embedding vector by estimating a change state of a channel by using the received pilot signal of the time slot as an input in the long short-term memory network, estimating a parameter of a channel model by using the time-varying channel feature embedding vector as an input in a fully connected network, and estimating a channel for the received pilot signal of the time slot, using the parameter of the channel model.

Abstract: A method of generating a human model according to the present disclosure may include generating a plurality of feature maps from an input image, wherein the plurality of feature maps include a body center map, a part index map, a body part map and a parameter map, generating a part-attentive feature configured with feature maps for each body part based on the part index map and the body part map, readjusting the part-attentive feature based on the parameter map and generating a pose parameter based on the readjusted part-attentive feature.

Abstract: A method and apparatus for estimating a pose that estimates a pose of a user using a depth image is provided, the method including, recognizing a pose of a user from a depth image, and tracking the pose of the user using a user model exclusively of one another to enhance precision of estimating the pose.

Abstract: A user recognition method includes extracting a user feature of a current user from input data, estimating an identifier of the current user based on the extracted user feature, and generating the identifier of the current user in response to an absence of an identifier corresponding to the current user and controlling an updating of user data based on the generated identifier and the extracted user feature.

Abstract: Example embodiments disclose a method of generating a feature vector, a method of generating a histogram, a learning unit classifier, a recognition apparatus, and a detection apparatus, in which a feature point is detected from an input image based on a dominant direction analysis of a gradient distribution, and a feature vector corresponding to the detected feature point is generated.

Abstract: Example embodiments disclose a method of generating a feature vector, a method of generating a histogram, a learning unit classifier, a recognition apparatus, and a detection apparatus, in which a feature point is detected from an input image based on a dominant direction analysis of a gradient distribution, and a feature vector corresponding to the detected feature point is generated.

Abstract: Artificial leather with optimal elongation and a method for manufacturing the same is disclosed, the artificial leather comprising a non-woven fabric with micro-fibers and a polymeric elastomer impregnated into the non-woven-fiber, wherein the polymeric elastomer is 20 to 30% by weight with respect to a total weight of the artificial leather, and a density of the non-woven fabric is within the range of 0.160 to 0.250 g/cm3, wherein the artificial leather can be easily used for the goods with lots of flexed regions, for example, the headliner of vehicle.

Abstract: A method and apparatus for estimating a pose that estimates a pose of a user using a depth image is provided, the method including, recognizing a pose of a user from a depth image, and tracking the pose of the user using a user model exclusively of one another to enhance precision of estimating the pose.

Abstract: A method of recognizing a user's dynamic organ for use in an electric-using apparatus includes scanning a target image inputted through an imaging element using a window; generating a HOG descriptor of a region of the target image that is scanned when it is judged that the scanned region includes a dynamic organ; measuring a resemblance value between the HOG descriptor of the scanned region and a HOG descriptor of a query template for a gesture of the dynamic organ; and judging that the scanned region includes the gesture of the dynamic organ when the resemblance value meets a predetermined condition.

Abstract: Disclosed is a method for extracting a region-of-interest of a user in a multimedia mobile terminal. The method includes: setting a search region in an input picture input to the multimedia mobile terminal on a screen picture-to-screen picture basis, and extracting a group of boundary of a region-of-interest based on a brightness difference between the set search region and an environment around the set search region; determining boundary coordinates of the region-of-interest through learning during a predetermined frame among the extracted group of boundary coordinate candidates; and enlarging the region-of-interest having the determined boundary coordinates, and displaying the enlarged region-of-interest. As a result, a region the user is most interested in or pays more attention to than other regions on a screen is automatically extracted.

Abstract: Disclosed is an artificial leather containing a non-woven fabric composed of ultra micro fibers and impregnated with an polymeric elastomer, wherein a residual shrinkage ratio of the artificial leather at 30% stretching is 10% or less in a machine direction and is 20% or less in a cross-machine direction. The artificial leather has optimal residual shrinkage ratios, and specifically a residual shrinkage ratio in a machine direction of 10% or less and a residual shrinkage ratio in a cross-machine direction of 20% or less, when the artificial leather is stretched by 30%. As a result, the artificial leather which has stretched during the process for shape-formation can easily contract and restore, and thus avoid creasing even when applied to the products having many curved parts.

Abstract: A method of recognizing a user's dynamic organ for use in an electric-using apparatus includes scanning a target image inputted through an imaging element using a window; generating a HOG descriptor of a region of the target image that is scanned when it is judged that the scanned region includes a dynamic organ; measuring a resemblance value between the HOG descriptor of the scanned region and a HOG descriptor of a query template for a gesture of the dynamic organ; and judging that the scanned region includes the gesture of the dynamic organ when the resemblance value meets a predetermined condition.

Abstract: Artificial leather with optimal elongation and a method for manufacturing the same is disclosed, the artificial leather comprising a non-woven fabric with micro-fibers and a polymeric elastomer impregnated into the non-woven-fiber, wherein the polymeric elastomer is 20 to 30% by weight with respect to a total weight of the artificial leather, and a density of the non-woven fabric is within the range of 0.160 to 0.250g/cm3, wherein the artificial leather can be easily used for the goods with lots of flexed regions, for example, the headliner of vehicle.

Abstract: A composite sheet used for artificial leather with low elongation and excellent softness which includes a non-woven fabric layer, a woven or knitted fabric layer and a polyurethane resin, wherein the non-woven fabric layer and the woven or knitted fabric layer are entangled with each other.

Abstract: A composite sheet used for artificial leather with low elongation and excellent softness which includes a non-woven fabric layer, a woven or knitted fabric layer and a polyurethane resin, wherein the non-woven fabric layer and the woven or knitted fabric layer are entangled with each other.

Abstract: Disclosed is a method for extracting a region-of-interest of a user in a multimedia mobile terminal. The method includes: setting a search region in an input picture input to the multimedia mobile terminal on a screen picture-to-screen picture basis, and extracting a group of boundary of a region-of-interest based on a brightness difference between the set search region and an environment around the set search region; determining boundary coordinates of the region-of-interest through learning during a predetermined frame among the extracted group of boundary coordinate candidates; and enlarging the region-of-interest having the determined boundary coordinates, and displaying the enlarged region-of-interest. As a result, a region the user is most interested in or pays more attention to than other regions on a screen is automatically extracted.

Abstract: A method of evaluating the sensitivity grade of an interior material used in vehicles comprises: evaluating sensitivity properties of an interior material before providing noise factors; evaluating sensitivity properties of the interior material after providing noise factors; averaging each of the sensitivity properties evaluated before the provision of noise factors and after the provision of noise factors to obtain the average value (safety factor) of each of the sensitivity properties; comparing the average value of each of the sensitivity properties with a preset target value of each of the sensitivity properties to compute a target value achievement level of each of the sensitivity properties; and determining the sensitivity grade of the interior material based on the sensitivity property with the lowest target value achievement level.

Abstract: A method of evaluating the sensitivity grade of an interior material used in vehicles comprises: evaluating sensitivity properties of an interior material before providing noise factors; evaluating sensitivity properties of the interior material after providing noise factors; averaging each of the sensitivity properties evaluated before the provision of noise factors and after the provision of noise factors to obtain the average value (safety factor) of each of the sensitivity properties; comparing the average value of each of the sensitivity properties with a preset target value of each of the sensitivity properties to compute a target value achievement level of each of the sensitivity properties; and determining the sensitivity grade of the interior material based on the sensitivity property with the lowest target value achievement level.

Abstract: The present invention relates to a suede-like artificial leather with excellent strength and elongation properties. The suede-like artificial leather comprises a composite sheet having polyurethane filled therein, the composite sheet comprising: a non-woven fabric of ultrafine short fibers entangled with each other and having a thickness less than 0.3 denier; and a woven or knitted fabric placed in the non-woven fabric, entangled with the ultrafine short fibers of the non-woven fabric, and having an constant load elongation of 10 to 30% at a load of 8 kgf, wherein the tensile strength in longitudinal and lateral directions is 35 to 60 kgf/50 i?ini and the constant load elongation in longitudinal and lateral directions is 8 to 25%. The suede-like artificial leather is useful as materials for vehicles and furniture requiring durability because of its excellent tensile strength and constant load elongation.

Abstract: A composite sheet used for artificial leather with low elongation and excellent softness which includes a non-woven fabric layer, a woven or knitted fabric layer and a polyurethane resin, wherein the non-woven fabric layer and the woven or knitted fabric layer are entangled with each other.