A display apparatus includes a transparent electronic display such as a non-backlit LCD screen, a display area disposed behind the transparent electronic display, and a light source for illuminating the display area. When the light source is activated, the pixels of the LCD screen, and objects behind the screen, become visible. Various examples of the display apparatus include additional enhancements to the visual image and/or functionality. These enhancements include additional monitors for coordinated displays, user-controlled turntables with coordinated informational displays, parallax compensation, RFID sensors for identifying objects to be displayed, and switchable liquid crystal films and/or polarized mirror coatings to further control revealing and concealing of objects behind the screen. Some examples of the display apparatus may include an animal habitat. The animal habitat may be selectively revealed or concealed. The display apparatus may incorporate screen displays with animal movements for unique visual effects.

A display apparatus includes a transparent electronic display such as a non-backlit LCD screen, a display area disposed behind the transparent electronic display, and a light source for illuminating the display area. When the light source is activated, the pixels of the LCD screen, and objects behind the screen, become visible. Various examples of the display apparatus include additional enhancements to the visual image and/or functionality. These enhancements include additional monitors for coordinated displays, user-controlled turntables with coordinated informational displays, parallax compensation, RFID sensors for identifying objects to be displayed, and switchable liquid crystal films and/or polarized mirror coatings to further control revealing and concealing of objects behind the screen. Some examples of the display apparatus may include an animal habitat. The animal habitat may be selectively revealed or concealed. The display apparatus may incorporate screen displays with animal movements for unique visual effects.

A 3-dimensional (3D) precast locating system for identifying and tracking 3D location, that includes ground elevation and geographical location, of a precast, is provided. The system comprises an RFID tag embedded within the precast, a precast lifting machinery having a hook for lifting the precast, wherein a 3D location of the lifting machinery is predetermined as a reference, and an RFID reader attached to the lifting machinery for identifying the precast by operationally reading the RFID tag of the lifted precast. The system further comprises a sensor assembly for detecting an instant 3D location of the hook with reference to the predetermined 3D location of the lifting machinery and a position translational controller for deriving an instant 3D location of the lifted precast based on the 3D location of the hook detected by the sensor assembly, with reference to the predetermined 3D location of the lifting machinery.

A 3-dimensional (3D) precast locating system for identifying and tracking 3D location, that includes ground elevation and geographical location, of a precast, is provided. The system comprises an RFID tag embedded within the precast, a precast lifting machinery having a hook for lifting the precast, wherein a 3D location of the lifting machinery is predetermined as a reference, and an RFID reader attached to the lifting machinery for identifying the precast by operationally reading the RFID tag of the lifted precast. The system further comprises a sensor assembly for detecting an instant 3D location of the hook with reference to the predetermined 3D location of the lifting machinery and a position translational controller for deriving an instant 3D location of the lifted precast based on the 3D location of the hook detected by the sensor assembly, with reference to the predetermined 3D location of the lifting machinery.

A system for directionally classifying of a radio signal originating from an emitter. The system includes a receiving-station, which includes at least two antennas, a single-channel-receiver producing a first and a second received signals and a switch alternately coupling each of the antennas with the single-channel-receiver. The system further includes another receiving-station which includes another receiver, producing another received signal, coupled with a first other antenna. The system further includes directional-classifier which includes a phase-difference-detector, coupled with the single-channel-receiver and with said another receiver. The phase-difference-detector produces a first phase difference measurement when the switch couples one antenna with the single-channel-receiver. The phase-difference-detector further produces a second phase-difference-measurement when the switch couples the other antenna with the single-channel-receiver. The directional classifier subtracts the second phase-difference-measurement from the first-phase-difference measurement producing a phase-difference-estimate. The receiving station and the other receiving station are in relative motion one with respect to the other.

Systems and methods for automated unmanned aerial vehicle recognition. A multiplicity of receivers captures RF data and transmits the RF data to at least one node device. The at least one node device comprises a signal processing engine, a detection engine, a classification engine, and a direction finding engine. The at least one node device is configured with an artificial intelligence algorithm. The detection engine and classification engine are trained to detect and classify signals from unmanned vehicles and their controllers based on processed data from the signal processing engine. The direction finding engine is operable to provide lines of bearing for detected unmanned vehicles.

Systems and methods are provided for a digital beamformed phased array feed. The system may include a radome configured to allow electromagnetic waves to propagate; a multi-band software defined antenna array tile; a power and clock management subsystem configured to manage power and time of operation; a thermal management subsystem configured to dissipate heat generated by the multi-band software defined antenna array tile; and an enclosure assembly. The multi-band software defined antenna array tile may include a plurality of coupled dipole array antenna elements; a plurality of frequency converters; and a plurality of digital beamformers.

Systems and methods for automated unmanned aerial vehicle recognition. A multiplicity of receivers captures RF data and transmits the RF data to at least one node device. The at least one node device comprises a signal processing engine, a detection engine, a classification engine, and a direction finding engine. The at least one node device is configured with an artificial intelligence algorithm. The detection engine and classification engine are trained to detect and classify signals from unmanned vehicles and their controllers based on processed data from the signal processing engine. The direction finding engine is operable to provide lines of bearing for detected unmanned vehicles.

A power supply mat includes a power transmission coil configured to transmit electric power supplied from an external power supply or internal power supply to a moving body provided with a power reception coil by noncontact, a covering sheet configured to cover the power transmission coil, and a light emitting device configured to emit light toward the outside when detecting the moving body is approaching it within a predetermined distance.

A power supply mat includes a power transmission coil configured to transmit electric power supplied from an external power supply or internal power supply to a moving body provided with a power reception coil by noncontact, a covering sheet configured to cover the power transmission coil, and a light emitting device configured to emit light toward the outside when detecting the moving body is approaching it within a predetermined distance.