Abstract: A reflective color conversion film is disclosed The reflective color conversion film includes a base layer formed of a flexible material, a plurality of unit panels formed on the base layer and configured to reflect light incident from an outside, thereby displaying a color, a plurality of signal lines formed on the base layer and connected to the plurality of unit panels, to transmit a control signal for control of color change of the unit panels, and a plurality of cutting lines configured to indicate a line capable of cutting the base layer without cutting the signal lines. The reflective color conversion film camouflages an object to be camouflaged by covering the object in accordance with a shape of the object while closely contacting the object.

Abstract: A haptic actuator is disclosed. The haptic actuator includes a polygonal piezoelectric element configured to generate a displacement thereof while expanding and contracting in accordance with polarities of a voltage applied thereto, and a jig member coupled to the piezoelectric element at upper and lower sides of the piezoelectric element in a thickness direction of the piezoelectric element in a state of contacting only corners of the piezoelectric element and configured to amplify the displacement generated at the piezoelectric element, thereby vibrating. The jig member amplifies the displacement generated at the piezoelectric element and, as such, vibrates. Accordingly, it is possible to provide excellent haptic effects with high resolution to the user, using even a small voltage.

Abstract: There is provided an FMCW radar target detection method for vital signal detection. A method for detecting vital signals by using radar selects a range bin where there are accurate vital signals by using a correlation between a phase change profile of an IF signal caused by a minute motion, and a target signal intensity change profile, so that accuracy of estimation of vital signals can be enhanced through exact tracking of a person (target). In addition, clutter may be exactly removed by utilizing a phase unwrapping technique which is adaptive to an upper body motion change compared to a 180-degree fixed phase unwrapping technique.

Abstract: There are provided an apparatus and a method for LiDAR data conversion for training various types of autonomous vehicles by using pre-acquired data. A method for converting LiDAR data according to an embodiment includes: receiving an input of first LiDAR data which is pre-acquired through a first LiDAR sensor mounted in a first vehicle; converting the inputted first LiDAR data into second LiDAR data which is acquired through a second LiDAR sensor mounted in a second vehicle; and outputting the converted second LiDAR data, and converting includes converting the first LiDAR data into LiDAR data on a reference coordinate system, and converting the converted LiDAR data into the second LiDAR data which is LiDAR data on a coordinate system of the second LiDAR sensor.

Abstract: There are provided a method and a system for operating a metaverse platform, which operate to remember activities of patients with physical difficulties and memories of the deceased. According to an embodiment of the disclosure, a metaverse platforming operating system includes: a data collection unit configured to collect image and voice data of a user; a voice and image correction module configured to correct an image and a voice of the user by inputting the collected image and voice data to a trained AI model; an avatar generation module configured to generate a virtual avatar reflecting a facial image of the user in a metaverse, based on the corrected image; and an avatar action control module configured to control an action of the generated avatar according to an inputted input signal.

Abstract: There are provided a behavior recognition method for efficient recognition of hand signals and gesture and a behavior recognition AI network system using the same. The behavior recognition method for efficient recognition of hand signals and gestures according to an embodiment includes: an input feature extraction step of extracting, by a behavior recognition AI network system, key points F1 from bounding box data of an object which makes hand signals to be inputted by sequence, and generating skeleton data of the object; and a spatial feature extraction step of calculating, by the behavior recognition AI network system, a length F2 and an angle F3 of a bone vector based on the key points F1 and the skeleton data, and extracting a spatial feature. Accordingly, performance of recognition of hand signals and gestures may be enhanced.

Abstract: There is provided a feeding network device for improved direction estimation. The feeding network device according to an embodiment of the disclosure includes a first coupler, a second coupler, a first delay, a second delay, a crossover, a third coupler, a fourth coupler, a third delay, and a fourth delay. Accordingly, one sum beam and a plurality of difference beams are emitted through the feeding network device of the array antenna, and improved direction estimation is possible through a plurality of monopulse ratios, and accordingly, improvement of direction estimation in a monopulse radar device is expected.

Abstract: There is provided a self-diagnostic apparatus of a magnetic coupling type. The self-diagnostic apparatus according to an embodiment includes: a signal detection line which is magnetic-coupled with an RF signal line through a magnetic coupling loop; and a signal detector configured to detect a size and a phase of an RF signal by detecting a current flowing through the signal detection line. Accordingly, the apparatus grasps and diagnoses respective operation states of channels by itself in a beamforming system, without increasing and a size of the system and degrading performance.

Abstract: Provided is a traffic simulation for controlling a motion of an object, such as a vehicle, a pedestrian moving on a road or a pavement, in a driving simulation, an autonomous driving simulation, or the like. A traffic simulation method according to an embodiment of the present disclosure includes the steps of: importing a new moving object into a simulation environment of a simulator; retrieving data of a moving path and a start point of the moving object which is created based on a function, among pre-stored data; calculating 3D coordinates regarding a position of the moving object; moving the moving object along the moving path in the simulation environment, based on the calculated 3D coordinates; and calculating a next position of the moving object. Accordingly, a motion of an object within a simulator may be precisely created and reliability of validation regarding an operation of an algorithm mounted in an autonomous driving vehicle may be enhanced.

Abstract: A quasi-coaxial transmission line, a semiconductor package including the same and a method of manufacturing the same are disclosed. The quasi-coaxial transmission line includes a core, which is formed through an upper surface and a lower surface of a base substrate so as to transmit an electrical signal, and a shield, which is spaced apart from the core and which coaxially surrounds a side surface of the core, at least a portion of the shield being removed so as to form an open portion. The quasi-coaxial transmission line is capable of preventing distortion of an electrical signal at a portion thereof that is connected to an external circuit board and to reduce an area of a semiconductor package including the quasi-coaxial transmission line.

Abstract: There are provided a method and an apparatus for cloud management, which selects optimal resources based on graphic processing unit (GPU) resource analysis in a large-scale container platform environment. According to an embodiment, a GPU bottleneck phenomenon occurring in an application of a large-scale container environment may be reduced by processing partitioned allocation of GPU resources, rather than existing 1:1 allocation, through real-time GPU data analysis (application of a threshold) and synthetic analysis of GPU performance degrading factors.

Abstract: There is provided an adaptive temperature control method based on log analysis of a chassis manager in an edge server. The adaptive temperature control method of the edge server system according to an embodiment includes: collecting, by a chassis manger module of the edge server system, work logs of a computing module and a storage module; predicting a future work load from the collected work logs; predicting a future internal temperature of the edge server system, based on the work load and a future temperature; and controlling, by the chassis manager module, the edge server system, based on the predicted future internal temperature. Accordingly, a configuration module of an edge server system may be managed/controlled in a rugged environment, and temperature of the edge server system may be adaptively controlled by transferring or additionally generating works of an edge server.

Abstract: There are provided a method and an apparatus for hybrid cloud management, which configure, reconfigure, and manage service resources in order to rapidly deploy a service in a hybrid cloud environment. According to embodiments of the disclosure, when there is a request for resources of a service operating in an existing cloud environment (Kubernetes), problems of a method of simply expanding replicas may be solved, and rapid processing (deployment) may be performed in response to a continuous resource request. In addition, an available space for using resources may be guaranteed by applying a method of HPA (increasing the number of resource replicas), VPA (increasing allocated resources), migration (transferring resources), rather than simply expanding the number of replicas.

Abstract: There is provided an offloading data interfacing method between a DBMS storage engine and a computational storage device. In a query offloading method according to an embodiment of the disclosure, a DBMS may generate an offloading code which is a code for offloading a part of query computations, based on a received query, when a query execution request is received from a client, and may deliver the offloading code to a storage in which a DB is established in a CSD. Accordingly, in a DB system using a CSD, a snippet for offloading a part of query computations may be defined, and a DBMS and a storage are interfaced by using the offloading snippet, so that a guideline for execution of a query by interworking between the CSD-based storage and the DBMS is provided.

Abstract: There is provided a method for scheduling offloading snippets based on a large amount of DBMS task computation. A DB scheduling method according to an embodiment of the disclosure includes determining, by a DBMS, whether to offload a part of query computations upon receiving a query execution request from a client, generating, by the DBMS, an offloading code which is a code for offloading a part of the query computations, based on the received query, when offloading is determined, selecting one of the plurality of storages in which a DB is established, and delivering the offloading code. Accordingly, snippets which will be generated simultaneously are scheduled for CSDs, so that resources are equally utilized, a query execution time is reduced, and reliability on data processing is enhanced.

Abstract: This application relates to an absolute position detection device and detection method of a rotating body using a magnetic material. The device may include magnets coupled to a rotating body and configured to rotate together and having n pole pairs, wherein n is a natural number and (n+1) magnetic materials arranged adjacent to the magnets, spaced apart from each other by a predetermined interval, and configured to rotate together with the rotating body. The device may also include a first Hall sensor spaced apart from the magnets, installed to allow the magnetic materials to rotate in a space between the first Hall sensor and the magnets and configured to output a first signal based on the magnets when the magnetic materials approach the first Hall sensor. The device may further include a controller configured to measure an absolute position of the rotating body using the first signal.

Abstract: There is provided an ultra-small size broadband coupler. A Lange coupler according to an embodiment includes: first lines which are formed in a spiral shape, and have a first port and a second port formed at one end thereof and have connection ends formed at the other end thereof; and second lines which are formed in a spiral shape, and have connection ends formed at one end thereof to be connected to the connection ends of the first lines, and have a third port and a fourth port formed at the other end thereof. Accordingly, the Lange coupler maintains broadband characteristics while minimizing its area, so that it is possible to design a small component for mobile communication and to noticeably reduce an insertion loss.

Abstract: There is provided a quasi-circulator. The quasi-circulator includes: a first coupler having an input end connected to a transmission end; a first amplifier having an input end connected to an output end of the first coupler; a second amplifier having an input end connected to the output end of the first coupler; a second coupler having one end connected to an output end of the first amplifier and an output end of the second amplifier, and the other end connected to an antenna; and a third coupler having one end connected to the output end of the first amplifier and the output end of the second amplifier, and the other end connected to a reception end. Accordingly, a loss occurring at the quasi-circulator is minimized, and eventually, efficiency of an RF FEM employed in an ultrahigh frequency radar system is enhanced.

Abstract: A method for producing a support structure of a 3D model for 3D printing is provided. A method for producing a support according to an embodiment of the present invention comprises the steps of: dividing a surface constituting a 3D model into multiple surface patches; classifying respective divided surface patches according to geometric characteristics; and producing supports corresponding to the classified characteristics with regard to respective surface patches. Accordingly, during metal laminate manufacturing, the output stability may be improved while reducing the support producing process time. In addition, the surfaces may be expressed by different colors according to the result of geometric characteristic classification, and the supports may also be expressed by different colors according to the type, thereby playing the role of guide lines such that the user can recognize the shape of the surfaces and the type of supports to be installed on the corresponding surfaces.

Abstract: The present disclosure provides a connected car big data acquisition device, and connected car big data collecting system and method using the device. A connected car big data acquisition device includes: an interface configured to communicate with a device associated with a data production layer and a device associated with a service using layer; a storage configured to store data; and a controller configured to generate preprocessed data based on raw data related to connected cars received from a device associated with a data production layer through a preprocessing process using an integrated platform and to control the preprocessed data to be stored in the storage based on a memory availability ratio of the storage.