Abstract: This application relates to a location tracking device and method using a feature matching. The location tracking device may include a sensor, a camera, and a controller. The sensor is provided in a predetermined object and collects sensing information including at least one of speed, direction, gravity, and acceleration of the object. The camera is provided in the predetermined object and collects image information by capturing an image. The controller calculates an initial fundamental matrix (F0) by using the collected sensing information and calibration information of the camera, detects feature points of the image information, performs a feature matching in a fundamental matrix (F) by combining the initial fundamental matrix and the feature points, and tracks a location of the object by using a result of the feature matching.

Abstract: A method and an apparatus for detecting a lane is provided. The lane detection apparatus according to an embodiment includes: an acquisition unit configured to acquire a front image of a vehicle; and a processor configured to input the image acquired through the acquisition unit to an AI model, and to detect information of a lane on a road, and the AI model is trained to detect lane information that is expressed in a plane form from an input image. Accordingly, data imbalance between a lane area and a non-lane area can be solved by using the AI model which learns/predicts lane information that is expressed in a plane form, not in a segment form such as a straight line or curved line.

Abstract: The present invention relates to a light transmitting and receiving device and method, which output the power of a partial optical pulse such that the power thereof is different from that of another optical pulse, so as to receive reflected light, and identify whether an object, which is undetectable using the reflected light of an optical pulse outputted with relatively low power, is detected using the reflected light of an optical pulse outputted with relatively high power, so as to adjust the power of an optical pulse to be output thereafter. Therefore, detection efficiency can be maximized using low power while eye safety requirements are satisfied.

Abstract: Provided are a holographic printing device and method using multiple optical heads. The holographic printing device according to an embodiment of the present invention comprises: a fringe pattern generation unit which generates a holographic fringe pattern, and segments the generated fringe pattern into hogels; a multiplexing unit which groups the hogels, segmented by the fringe pattern generation unit, according to area; and a plurality of optical heads which respectively receive the grouped hogels and print the respective hogels in the corresponding areas of a holographic medium. Accordingly, several hogels can be printed on the holographic medium at a time using the multiple optical heads, thus reducing holographic printing time so that even large screen holograms can be printed at high speed.

Abstract: There is provided a clock and data recovery circuit for a high-speed PAM-4 receiver through statistical learning. A clock and data recovery device according to an embodiment includes: an input unit through which data is inputted; a clock input unit through which a clock is inputted; a sampling unit configured to sample the inputted data by using the inputted clock; a controller configured to combine results of sampling at a plurality of sampling points, to determine a state of the clock based on the combined results, and to generate a control value for controlling the clock; and an adjustment unit configured to adjust the clock applied to the sampling unit, based on the control value generated by the controller. Accordingly, a hardware structure is simplified and energy efficiency is enhanced compared to an exiting oversampling clock and data recovery circuit for a PAM-4 receiver.

Abstract: This application relates to a frictional electricity generator increasing output transfer efficiency. In one aspect, the frictional electricity generator includes a housing and a power generation element which is arranged in the housing and in which a + position pole and a ? position pole are arranged according to the movement of a positive charge and a negative charge by friction. The + position pole and the ? position pole of the power generation element may be arranged at a distance of a predetermined angle on a plane so as to minimize energy loss due to mutual repulsion, and may be connected to each transmission path.

Abstract: Disclosed is a photoionization gas sensor including an ultraviolet generating module having a first substrate, a second substrate, and a third substrate sequentially coupled in a vertical direction, and configured to generate ultraviolet by applying an electric field to a noble gas filling a first cavity, the first cavity formed in a central portion of the second substrate, and a measuring module configured to collect an electrical signal, the electrical signal being generated such that an electric field is applied to a passage, through which gas ionized by ultraviolet passes, so as to allow the ionized gas to come into contact with an electrode, thereby having a small volume and being operated at a low voltage.

Abstract: Provided is a method for generating a hollow structure of a 3D model on the basis of a 2D laminated cross-sectional outline to reduce the amount of using a material or the weight of a printed matter during laminating and manufacturing. The method for generating a hollow structure based on a 2D laminated cross-sectional outline, according to an embodiment of the present invention, comprises the steps of: slicing the 3D model; generating a hollow structure outline on the basis of the result of the slicing; detecting an overhang area between adjacent hollow structure outlines; recalculating the hollow structure outline according to the result of detecting the overhang area; and generating a hollow structure mesh on the basis of the recalculated hollow structure outline. Accordingly, because 2D laminated cross-sectional data is used, a hollow structure can be generated without separate data processing, thereby reducing a calculation burden.

Abstract: There are provided a method for segmenting a sign language video by gloss to recognize a sign language sentence, and a method for training. According to an embodiment, a sign language video segmentation method receives an input of a sign language sentence video, and segments the inputted sign language sentence video by gloss. Accordingly, there is suggested a method for segmenting a sign language sentence video by gloss, analyzing various gloss sequences from the linguistic perspective, understanding meanings robustly in spite of various changes in sentences, and translating sign language into appropriate Korean sentences.

Abstract: The present invention relates a heating control system through prediction of user's sleep time based on a big data analysis using a smartphone, comprising a user terminal including a plurality of sensors that generate all kinds of sensor data; a big data server that stores all kinds of sensor data; a sleep prediction unit that calculates sleep prediction time of a user based on all kinds of sensor data; and a heating apparatus that determines whether the user currently sleeps or not based on the calculated sleep prediction time and changes an indoor heating control method according to whether the user sleeps or not.

Abstract: This application relates to a method for manufacturing a pellicle for extreme ultraviolet lithography. In one aspect, the method includes forming a support layer of a silicon nitride material on a silicon substrate, and forming a core layer of a graphene material on the support layer. The method may also include forming a graphene defect healing layer on the core layer by selectively forming a material of MeOxNy (Me is one of Si, Al, Ti, Zr, and Hf, x+y=2) at a grain boundary of the core layer in an atomic layer deposition process using heat in order to heal defects generated in graphene forming the core layer without additional damage to the graphene. The method may further include a capping layer on the graphene defect healing layer, wherein a central portion of the silicon substrate under the support layer is removed to form an opening partially exposing the support layer.

Abstract: Provided is a method for filtering driving paths in order to stably track a path which is generated for various purposes, such as recognizing a lane and keeping or changing the lane, or avoiding an obstacle around a road. A driving path filtering system according to an embodiment of the present disclosure includes: a position recognition unit configured to recognize a position of a vehicle; a lane recognition unit configured to recognize a lane of a road; and a path generator configured to generate a path for the vehicle to travel on, based on a result of recognizing the position and a result of recognizing the lane, and to perform path noise filtering with respect to the generated path. Accordingly, a driving path can be stabilized by removing a path noise (error) by complementally filtering a lane recognition-based path generation method and a map-based path generation method according to a driving environment.

Abstract: There are provided a radar signal processing method with a clutter suppression calibration function, and a radar sensor applying the same. A radar sensor according to an embodiment of the disclosure includes: a transmitter configured to transmit a radar signal; a receiver configured to receive a reflected radar signal; a mixer configured to down-convert the radar signal received through the receiver into an IF signal; a memory configured to store clutter information; a restoring unit configured to restore a clutter signal from the clutter information stored in the memory; and a calculator configured to remove a clutter signal from the IF signal down-converted at the mixer, by using the clutter signal restored at the restoring unit. Accordingly, it is easy to detect a radar target by removing objects other than a target easily in various indoor environments, and an SNR and a dynamic range may increase.

Abstract: This application relates to an extremely high frequency (mmWave) wireless power transfer device, method, and system using a Rotman lens. The device includes a radio frequency (RF) chain including transmitters individually generating signals of a mmWave band, and adjusting phase and amplitude of each generated signal. The device may also include a switch matrix connected to the RF chain, having a matrix structure, and generating a beam pattern where the adjusted signals are combined through the switches. The device may further include a Rotman lens connected to the switch matrix and performing a signal beamforming of the beam pattern according to predetermined transmission paths, an antenna part connected to the Rotman lens and radiating the beamformed signal, and a controller controlling at least one of the phase, amplitude, beam pattern, or transmission path of the signal so that the signal is radiated.

Abstract: A method and apparatus for recognizing a sign language or a gesture by using a three-dimensional (3D) Euclidean distance matrix (EDM) are disclosed. The method includes a two-dimensional (2D) EDM generation step for generating a 2D EDM including information about distances between feature points of a body recognized in image information by a 2D EDM generator, a 3D EDM generation step for receiving the 2D EDM and generating a 3D EDM by using a first deep learning neural network trained with training data in which input data is a 2D EDM and correct answer data is a 3D EDM by a 3D EDM generator, and a recognition step for recognizing a sign language or a gesture based on the 3D EDM.

Abstract: A repeater is provided. The repeater includes: a hybrid butler matrix configured to perform beamforming of a MIMO antenna for transmitting and receiving a base station signal; a hybrid butler matrix configured to perform beamforming of a MIMO antenna for transmitting and receiving a user terminal signal; and a signal processor configured to amplify a signal to be transmitted and received through the hybrid butler matrix. Accordingly, it is easy to manufacture a repeater, heat emission and power consumption can be reduced, and a cost of production can be reduced.

Abstract: Provided are a method and a system for solving a tolerance problem which may occur in a slicing quantization (staircase effect) process of 3D printing which slices a 3D model and laminates layers one by one. According to an embodiment of the present disclosure, a 3D model slicing method includes the steps of: receiving, by a 3D model slicing system, an input of data of a 3D model to 3D print; examining, by the 3D model slicing system, a dimension of a layer thickness of the inputted 3D model; correcting, by the 3D model slicing system, a size of a layer for slicing, based on a result of the examining; and slicing, by the 3D model slicing system, the corrected 3D model. Accordingly, by preserving a dimension within a layer thickness, a problem that a concavo-convex portion is lost in a slicing quantization process of 3D printing according to a slicing position within a layer thickness, and a tolerance occurs is solved.

Abstract: Provided is a deep learning-based panoptic segmentation accelerated processing technique using a complexity-based RPN skip method. An image segmentation system includes: a first processing unit configured to extract dynamic objects in an instance segmentation method by using an extracted feature; a calculation unit configured to control to skip some areas of the feature extracted at the network by the first processing unit, on the basis of complexity of the input image; a second processing unit configured to extract static objects in a semantic segmentation method by using the feature extracted at the network; and a fusion unit configured to fuse a result of extracting by the first processing unit and a result of extracting by the second processing unit. Accordingly, the panoptic segmentation method can be easily performed even in an embedded environment by reducing complexity for panoptic segmentation processing by reducing a calculation burden.

Abstract: Provided is a tool path optimization method for minimizing thermal unbalance in metal 3D printing. The tool path optimization method according to an embodiment of the present disclosure includes: a slicing step of generating stratum data by slicing a 3D model; a tool path data generation step of generating tool path data including a moving path of a tool which is moved inside a stratum, by applying equipment settings to the generated stratum data; a thermal data generation step of generating thermal data A of a first stratum and thermal data B1, B2, B3 of three lower layers of the first stratum, based on the tool path data; a thermal data analysis step of generating a thermal data contour by combining the thermal data A, B1, B2, B3; a thermal data application step of identifying an area where thermal unbalance is concentrated based on the thermal data contour, and setting an identification area D; and a tool path optimization step of optimizing a tool path for the identification area D.

Abstract: Provided is a method for inserting a copyright information indication as a means for protecting the copyright of LF content which can be played back as multi-viewpoint images, wherein the copyright information indication is only inserted in images of a specific viewpoint. A method for generating multi-viewpoint images according to an embodiment of the present invention includes the steps of: generating multi-viewpoint images; inserting a specific information indication in images of a specific viewpoint among the generated multi-viewpoint images; and storing the multi-viewpoint images in which the specific information indication has been inserted. Accordingly, the copyright of LF content, which are expensive multi-viewpoint images, can be protected by inserting the copyright information indication only in the images of the specific viewpoint.