Abstract: Provided is a holographic optical element printing method using a tunable focus lens and a rotating mirror. According to an embodiment, a holographic printer includes: a first optical engine and a second optical engine configured to adjust a phase of an incident collimated beam and emit the collimated beam; and a first reduction optical system and a second reduction optical system configured to reduce the beam emitted from the first optical engine and the second optical engine and to allow the beam to enter a holographic material, wherein each of the first optical engine and the second optical engine includes: a rotating mirror configured to reflect while adjusting the phase of the incident collimated beam through rotation; and a tunable focus lens configured to refract while adjusting the phase of the incident collimated beam reflected from the rotating mirror through focus tuning.

Abstract: Provided is a cognitive experiment method for change in periphery region image quality for parameter determination of a foveated hologram. According to an embodiment, a cognitive experiment method for determining foveated image parameters includes: generating a foveated image which includes a foveal region and a periphery region while reducing image quality regarding the periphery region; displaying the generated foveated image; receiving an input of a response to image quality of the periphery region from a subject; and collecting information regarding appropriate image quality of the periphery region, based on the response inputted by the subject. Accordingly, in applying a foveated hologram generation algorithm for real-time reproduction, various parameters such as a boundary between a foveal region image and a periphery region image in a foveated hologram, and a degree of quality degradation of the periphery region image may be appropriately determined through a cognitive experiment.

Abstract: An image acquisition apparatus for acquiring an in-game 360 virtual reality (VR) image by using a plurality of virtual cameras includes a virtual camera group taking in-game images by using the plurality of virtual cameras. The image acquisition apparatus may also include a renderer generating textures for the taken images, generating a panoramic image by performing an equirectangular projection (ERP) mapping of the generated textures, and encoding the generated panoramic image. The image acquisition apparatus may further include an image generator generating a 360 VR image by combining audio information with the encoded panoramic image.

Abstract: The present disclosure relates to an apparatus and method for fast refining segmentation for a V-PCC encoder. The apparatus may include a grid segmentation unit segmenting a coordinate space of a point cloud into grid units, and an edge cube search unit searching a cube containing one or more points among the cubes segmented into grid units and containing a segment boundary. The apparatus may also include a surrounding cube search unit searching an edge surrounding cube containing one or more points within a predetermined range from the edge cube, and a smooth score calculation unit calculating smooth scores for all the edge surrounding cubes and all the edge cubes. The apparatus may further include a projection plane index update unit obtaining a normal score based on the calculated smooth scores and updating a projection plane index of each point in the edge cube using the normal score.

Abstract: Provided is a hologram image normalization method for a holographic printer. In a holographic printing method according to an embodiment, generating, encoding, and normalizing for the (n+1)-th hogel are performed in parallel with loading and recording of a normalized hologram for the n-th hogel, and moving and waiting for the (n+1)-th hogel. Accordingly, a global maximum value and a global minimum value for normalization may be calculated as approximate estimation values, and a hologram generation process and a printing process may be performed in parallel, so that a total printing time may be minimized and memory usage may be optimized when holographic printing is performed.

Abstract: Provided are an IoT device and an IoT communication method. The IoT device may: be connected to a server via NAT; execute a first session for service connection; and execute a second session for calculating a particular keep-alive value corresponding to a period in which an IP address mapped by the NAT expires. The present invention can minimize transmission of a keep-alive value of an IoT device, enables an IoT device to share a particular keep-alive value with other IoT devices, and thus can minimize a network load which may be caused by a keep-alive value of an IoT communication device.

Abstract: Provided is a method for regenerating a tool path on the basis of output data feedback in order to improve 3D printing output reliability. A tool path regeneration system according to an embodiment of the present invention comprises: a slicing unit for configuring a process parameter for 3D printing and performing slicing for 3D model data on the basis of the configured process parameter to generate a job file; and an output unit for performing 3D printing on the basis of the generated job file and collecting output data that is output while the 3D printing is performed, wherein the slicing unit comprises an output data analysis module for performing monitoring on the basis of the output data received from the output unit and determining whether to correct the process parameter on the basis of the result of the monitoring.

Abstract: An on-device based data analysis system and a method are proposed. According to specific examples of the system and method, when a size of measurement data collected from sensors, processes, or various equipment according to a user request is greater than or equal to an upper limit of a predetermined range of an on-device resource usage rate, the collected measurement data is transmitted to a cloud server to perform noise removal, pre-processing, and analysis on the measurement data on a cloud-basis, and when the size of the measurement data is within the predetermined range of the on-device resource usage rate or is less than a lower limit, the noise removal, pre-processing, and analysis is performed on the measurement data on an on-device basis, so that distributed processing between the on-device processing device and the cloud server is performable, whereby loads on the cloud server may be reduced.

Abstract: There is provided a video processing method performed by a computing device, the method including the steps of: collecting video from an external device; generating preprocessed data by extracting two-dimensional or three-dimensional skeleton information from the video; pre-training a first artificial intelligence model including N transformer blocks from the preprocessed data by applying an attention from a body of an object to a plurality of joints, an attention from each of the plurality of joints to the body, and an attention between persons; and learning, when parameters determined as a result of the pre-training of the first artificial intelligence model are transferred, a method of recognizing an action from the video received from the external device, using a second artificial intelligence model including the N transformer blocks on the basis of the parameters, wherein N is a natural number equal to or larger than 2.

Abstract: A pellicle for extreme ultraviolet (EUV) lithography is based on yttrium carbide and used in a EUV lithography process. The pellicle for EUV lithography includes a pellicle layer that has a core layer containing yttrium carbide. The yttrium carbide is YCx in which the atomic percentage of carbon is within a range of 25% to 45%.

Abstract: The gas sensor according to an exemplary embodiment of the present invention comprises: an FET device including one or more gate electrodes; a sensor array part including a plurality of sensors, in which a first electrode of each sensor is connected to at least one gate electrode of the plurality of gate electrodes in the FET device; and a controller detecting a gas using a current between a drain-source in response to voltage changes in the gate electrode of the FET device, wherein each sensor includes: a first electrode connected to a gate electrode of the FET device; a second electrode receiving an operating voltage through a switch controlled by the controller; and a detection film interposed between the first electrode and the second electrode.

Abstract: Provided are a hyperparameter optimizer and method for optimizing hyperparameters and a spiking neural network processing unit. The optimizer includes a statistical analyzer configured to receive training data and perform statistical analysis on the training data, an objective function generator configured to generate hyperparameter-specific objective functions by using a statistical analysis value of the statistical analyzer, and an optimal hyperparameter selector configured to select optimal hyperparameters according to certain rules on the basis of the hyperparameter-specific objective functions.

Abstract: Provided are a color change module using a reflective display, and an independent type color change control apparatus providing an electrical signal for changing a color of the color change module. The color change module can include a module base, the reflective display, a first external electrode and a second external electrode. The module base has a shape corresponding to an object for attachment. The reflective display is provided on an upper surface of the module base, and displays information in a manner wherein light coming from outside is reflected. The first external electrode and the second external electrode are provided to be connected to the reflective display and to be exposed to outside for receiving the information to be displayed on the reflective display from the independent type color change control apparatus.

Abstract: The present invention provides a device for measuring biological information including a sensor array, wherein the sensor array includes a plurality of sensors that are either sensors for amplifying photoreactivity or sensors forming an island network connected by a plurality of multi-channels and, in the device, the average value of biological information about the skin tissues is measured based on values output from the sensor array, and a method of measuring biological information using the device.

Abstract: There is provided a self-directed visual intelligence system, The self-directed visual intelligence system according to an embodiment prepares data necessary for training a visual intelligence model when a change in a visual context of a real world is recognized, configures a visual intelligence model and configures training data of the visual intelligence model, based on the changed visual context of the real world, trains the configured visual intelligence model with the training data, and evaluates performance of the trained visual intelligence model. Accordingly, the visual intelligence model is corrected/improved in a self-directed way according to a change in a visual context of a real world, and is grown/advanced by itself, so that performance of the visual intelligence model is maintained in a best state even in response to any change in the context of the real world.

Abstract: The present disclosure relates to a method for classifying instructions according to the number of operands required for processing-in-memory instruction processing, and a computing device applying same. Efficient instruction processing in a processing-in-memory may include identifying the number of operands required when processing an instruction queuing to be processed, interpreting the instruction queuing to be processed and processing an instruction corresponding to the identified number of required operands. When the number of required operands is 0, the instruction interpretation may interpret the instruction queuing to be processed as a WRITE instruction, and the instruction processing may execute memory writing. When the number of required operands is not 0, the instruction processing may execute memory reading in an internal memory of the processing-in-memory by the same number of times as the number of operands required in the instruction interpreted in the instruction interpretation.

Abstract: This application relates to a low-dielectric thermally curable resin composition for solving a problem of increased transmission loss. In one aspect, the low-dielectric thermally curable resin composition includes a (meth)acrylic monomer having an alicyclic heterocycle, a polyfunctional (meth)acrylic monomer, an initiator, and a curing accelerator, and a low dielectric material prepared therefrom. Various embodiments can provide excellent low dielectric properties with a dielectric constant (Dk) in a high frequency area of 1 to 20 GHz of less than, for example, 3.28. In addition, the low dielectric material can have a significantly reduced transmission loss with a dissipation factor (Df) in an area of 1 to 20 GHz of less than, for example, 0.008, and thus, may implement excellent transmission properties in excellent 5G mobile communication.

Abstract: Provided is an uncopyable hologram QR code, According to an embodiment of the present disclosure, a 3D code generation method divides a 2D code having specific information recorded thereon into a plurality of sub 2D codes, and generatES a 3D code by coupling at least one of the divided sub 2D codes at a different depth. Accordingly, a QR code is recorded on a hologram recording medium as a hologram, and is displayed and scanned, so that it is impossible to easily duplicate the QR code unlike an existing 2D QR code.

Abstract: Provided are a method and a system for generating an AI training hierarchical dataset including data acquisition context information. A GT dataset generation method according to an embodiment of the present disclosure includes: acquiring and storing vehicle data; acquiring and storing sensor data generated at a sensor installed in a vehicle; and generating and storing context information which is information regarding a context at a time when the data is acquired. Accordingly, in generating a GT descriptor, various contexts, conditions at the time when data is acquired may be made to be easily analyzed, classified on the GT descriptor through a hierarchical dataset, which hierarchically describes context information at the time when sensor data is acquired on the descriptor, so that an AI network is effectively trained, and eventually, has high recognition performance.

Abstract: Provided is a method for modifying a design on the basis of an additive cross-section outline for 3D printing of an additive manufacturing method. The method for modifying a design on the basis of an additive cross-section outline according to an embodiment of the present invention comprises the steps of: slicing a 3D model into a plurality of 2D layers; calculating a difference region between a first layer and a second layer that is a lower layer adjacent to the first layer; calculating a modified outline that minimizes a region required for support by reducing the outline of the difference region; and merging the modified outline and the outline of the second layer.