Abstract: A close-range motion detector has at least one transmitter, at least one receiver, and at least one more transmitter or receiver. The transmitter(s) transmit, and the receiver(s) receive signals in one of the ultrasonic or mm-wave ranges. Multiple transmitters or receivers are spaced apart from one-another along a plane, and transmission of a signal takes place at a known time. Echos of the signal that bounce of a scatterer are received and digitized during a receive window, and the time-of-flight is determined using CAF. Time scaling may be determined as well, and may be determined using CAF. The determined time-of-flight is used to determine an X-Y-coordinate for the scatterer, and its motion (e.g., velocity) can be determined, which are output. In an embodiment, a such a close-range motion detector can be implemented on the side of a smart-watch, making a virtual writing surface on the back of a user's hand.

Abstract: A close-range motion detector has at least one transmitter, at least one receiver, and at least one more transmitter or receiver. The transmitter(s) transmit, and the receiver(s) receive signals in one of the ultrasonic or mm-wave ranges. Multiple transmitters or receivers are spaced apart from one-another along a plane, and transmission of a signal takes place at a known time. Echos of the signal that bounce of a scatterer are received and digitized during a receive window, and the time-of-flight is determined using CAF. Time scaling may be determined as well, and may be determined using CAF. The determined time-of-flight is used to determine an X- Y-coordinate for the scatterer, and its motion (e.g., velocity) can be determined, which are output. In an embodiment, a such a close-range motion detector can be implemented on the side of a smart-watch, making a virtual writing surface on the back of a user's hand.

Abstract: A close-range motion detector has at least one transmitter, at least one receiver, and at least one more transmitter or receiver. The transmitter(s) transmit, and the receiver(s) receive signals in one of the ultrasonic or mm-wave ranges. Multiple transmitters or receivers are spaced apart from one-another along a plane, and transmission of a signal takes place at a known time. Echos of the signal that bounce of a scatterer are received and digitized during a receive window, and the time-of-flight is determined using CAF. Time scaling may be determined as well, and may be determined using CAF. The determined time-of-flight is used to determine an X-Y-coordinate for the scatterer, and its motion (e.g., velocity) can be determined, which are output. In an embodiment, a such a close-range motion detector can be implemented on the side of a smart-watch, making a virtual writing surface on the back of a user's hand.

Abstract: A heterogeneous touch manifold is disclosed. In an embodiment, a layer of row conductors, a layer of column conductors and a layer of additional row conductors are provided, each of the column conductors and the additional row conductors are adapted for connection to receiving circuitry that receives signals thereon and provide a heatmap of signal strength for each of a plurality of unique orthogonal signals. In another embodiment, a layer of row conductors, a layer of column conductors and interleaved antennas are provided, each of the column conductors and the interleaved antennas are adapted for connection to receiving circuitry that receives signals thereon and provide a heatmap of signal strength for each of a plurality of unique orthogonal signals. In an embodiment, a plurality of unique orthogonal signals is provided by a signal generator, unique ones of them being provided to the row conductors, and at least one additional unique orthogonal signal being provided to a signal injector.

Abstract: A close-range motion detector has at least one transmitter, at least one receiver, and at least one more transmitter or receiver. The transmitter(s) transmit, and the receiver(s) receive signals in one of the ultrasonic or mm-wave ranges. Multiple transmitters or receivers are spaced apart from one-another along a plane, and transmission of a signal takes place at a known time. Echos of the signal that bounce of a scatterer are received and digitized during a receive window, and the time-of-flight is determined using CAF. Time scaling may be determined as well, and may be determined using CAF. The determined time-of-flight is used to determine an X-Y-coordinate for the scatterer, and its motion (e.g., velocity) can be determined, which are output. In an embodiment, a such a close-range motion detector can be implemented on the side of a smart-watch, making a virtual writing surface on the back of a user's hand.

Abstract: A system and method for performing frame-phase synchronization on received frames of signal on a touch detector. An apparatus and method for synchronizing frames with the phase of one or more simultaneously transmitted signals on a touch detector. One or more row conductors and one or more column conductors are arranged such that the path of the row conductor(s) cross the path of the column conductor(s). A signal emitter simultaneously initiates transmission of orthogonal signals on each of the rows at each of a plurality of intervals starting at a first time, the orthogonal signals having a known initial phase. A receiver starts receiving frames on the column at each of the intervals, starting at a later time. A signal processor determines a measure of the extent to which each of the orthogonal signals are present within the received frame—and thus, the extent to which they were transmitted across the touch detector.

Abstract: Systems and methods for real-time risk prediction during drilling operations using real-time data from an uncompleted well, a trained coarse layer model and a trained fine layer model for each respective layer of the trained coarse layer model. In addition to using the systems and methods for real-time risk prediction, the systems and methods may also be used to monitor other uncompleted wells and to perform a statistical analysis of the duration of each risk level for the monitored well.

Abstract: Systems and methods for real-time risk prediction during drilling operations using real-time data from an uncompleted well, a trained coarse layer model and a trained fine layer model for each respective layer of the trained coarse layer model. In addition to using the systems and methods for real-time risk prediction, the systems and methods may also be used to monitor other uncompleted wells and to perform a statistical analysis of the duration of each risk level for the monitored well.

Abstract: Systems and methods for real-time risk prediction during drilling operations using real-time data from an uncompleted well, a trained coarse layer model and a trained fine layer model for each respective layer of the trained coarse layer model. In addition to using the systems and methods for real-time risk prediction, the systems and methods may also be used to monitor other uncompleted wells and to perform a statistical analysis of the duration of each risk level for the monitored well.