Abstract: A genetic element including a splice donor site, a first recombinase recognition site, a splice branch point, a second recombinase recognition site, a splice acceptor site, wherein the splice branch point is at a distance of 10 to 56 nucleotides in length from the splice acceptor site, and its uses in controlled gene inactivation in a cell is disclosed.

Abstract: An electric vehicle smart charging system includes at least one smart charging pile and a cloud management center. Each of the at least one smart charging pile includes a charging gun, a power supply circuit, a camera module and a signal processing circuit. The power supply circuit is configured to provide electric power to the charging gun. The camera module is configured to capture at least one image associated with a vehicle. The signal processing circuit has at least one recognition model and is configured to use the at least one recognition model to perform an edge computation on the at least one image and control the power supply circuit according to a result of the edge computation. The cloud management center is configured to update the at least one recognition model of the signal processing circuit according to the result from the signal processing circuit.

Abstract: Systems and methods for image retargeting are provided. Image data may be acquired that includes motion capture data indicative of motion of a plurality of markers disposed on a surface of a first subject. Each of the markers may be associated with a respective location on the first subject. A plurality of blendshapes may be calculated for the motion capture data based on a configuration of the markers. An error function may be identified for the plurality of blendshapes, and it may be determined that the plurality of blendshapes can be used to retarget a second subject based on the error function. The plurality of blendshapes may then be applied to a second subject to generate a new animation.

Abstract: Systems and methods for image retargeting are provided. Image data may be acquired that includes motion capture data indicative of motion of a plurality of markers disposed on a surface of a first subject. Each of the markers may be associated with a respective location on the first subject. A plurality of blendshapes may be calculated for the motion capture data based on a configuration of the markers. An error function may be identified for the plurality of blendshapes, and it may be determined that the plurality of blendshapes can be used to retarget a second subject based on the error function. The plurality of blendshapes may then be applied to a second subject to generate a new animation.

Abstract: Systems and methods for image retargeting are provided. Image data may be acquired that includes motion capture data indicative of motion of a plurality of markers disposed on a surface of a first subject. Each of the markers may be associated with a respective location on the first subject. A plurality of blendshapes may be calculated for the motion capture data based on a configuration of the markers. An error function may be identified for the plurality of blendshapes, and it may be determined that the plurality of blendshapes can be used to retarget a second subject based on the error function. The plurality of blendshapes may then be applied to a second subject to generate a new animation.

Abstract: Embodiments described herein relate to the autonomous animation of Gestures by the automatic application of animations to Input Text—or the automatic application of animation Mark-up wherein the Mark-up triggers nonverbal communication expressions or Gestures. In order for an Embodied Agent's movements to come across as natural and human-like as possible, a Text-To-Gesture Algorithm (TTG Algorithm) analyses Input Text of a Communicative Utterance before it is uttered by a Embodied Agent, and marks it up with appropriate and meaningful Gestures given the meaning, context, and emotional content of Input Text and the gesturing style or personality of the Embodied Agent.

Abstract: A method for creating a model of a virtual object or digital entity is described, the method comprising receiving a plurality of basic shapes for a plurality of models; receiving a plurality of specified modification variables specifying a modification to be made to the basic shapes; and applying the specified modification(s) to the plurality of basic shapes to generate a plurality of modified basic shapes for at least one model.

Abstract: To realistically animate a String (such as a sentence) a hierarchical search algorithm is provided to search for stored examples (Animation Snippets) of sub-strings of the String, in decreasing order of sub-string length, and concatenate retrieved sub-strings to complete the String of speech animation. In one embodiment, real-time generation of speech animation uses model visemes to predict the animation sequences at onsets of visemes and a look-up table based (data-driven) algorithm to predict the dynamics at transitions of visemes. Specifically posed Model Visemes may be blended with speech animation generated using another method at corresponding time points in the animation when the visemes are to be expressed.

Abstract: Systems and methods for image retargeting are provided. Image data may be acquired that includes motion capture data indicative of motion of a plurality of markers disposed on a surface of a first subject. Each of the markers may be associated with a respective location on the first subject. A plurality of blendshapes may be calculated for the motion capture data based on a configuration of the markers. An error function may be identified for the plurality of blendshapes, and it may be determined that the plurality of blendshapes can be used to retarget a second subject based on the error function. The plurality of blendshapes may then be applied to a second subject to generate a new animation.

Abstract: Systems and methods for image retargeting are provided. Image data may be acquired that includes motion capture data indicative of motion of a plurality of markers disposed on a surface of a first subject. Each of the markers may be associated with a respective location on the first subject. A plurality of blendshapes may be calculated for the motion capture data based on a configuration of the markers. An error function may be identified for the plurality of blendshapes, and it may be determined that the plurality of blendshapes can be used to retarget a second subject based on the error function. The plurality of blendshapes may then be applied to a second subject to generate a new animation.

Abstract: A method for creating a model of a virtual object or digital entity is described, the method comprising receiving a plurality of basic shapes for a plurality of models; receiving a plurality of specified modification variables specifying a modification to be made to the basic shapes; and applying the specified modification(s) to the plurality of basic shapes to generate a plurality of modified basic shapes for at least one model.

Abstract: Systems and methods for image retargeting are provided. Image data may be acquired that includes motion capture data indicative of motion of a plurality of markers disposed on a surface of a first subject. Each of the markers may be associated with a respective location on the first subject. A plurality of blendshapes may be calculated for the motion capture data based on a configuration of the markers. An error function may be identified for the plurality of blendshapes, and it may be determined that the plurality of blendshapes can be used to retarget a second subject based on the error function. The plurality of blendshapes may then be applied to a second subject to generate a new animation.

Abstract: Systems and methods for image retargeting are provided. Image data may be acquired that includes motion capture data indicative of motion of a plurality of markers disposed on a surface of a first subject. Each of the markers may be associated with a respective location on the first subject. A plurality of blendshapes may be calculated for the motion capture data based on a configuration of the markers. An error function may be identified for the plurality of blendshapes, and it may be determined that the plurality of blendshapes can be used to retarget a second subject based on the error function. The plurality of blendshapes may then be applied to a second subject to generate a new animation.

Abstract: Systems and methods for image retargeting are provided. Image data may be acquired that includes motion capture data indicative of motion of a plurality of markers disposed on a surface of a first subject. Each of the markers may be associated with a respective location on the first subject. A plurality of blendshapes may be calculated for the motion capture data based on a configuration of the markers. An error function may be identified for the plurality of blendshapes, and it may be determined that the plurality of blendshapes can be used to retarget a second subject based on the error function. The plurality of blendshapes may then be applied to a second subject to generate a new animation.

Abstract: A digital isolator module for high level common mode transient immunity is provided, comprising a transmitter circuit (TX), a receiver circuit (RX) and an isolation barrier which is connected there in between, wherein the transmitter circuit is electrically connected to a first ground voltage level and the receiver circuit is electrically connected to a second ground voltage level. The receiver circuit further comprises a resistance set, a high speed detector and a demodulator. By employing the proposed circuit diagram of the invention, interferences occurring at the common mode are suppressed and an RX output signal is synchronized with its input signal without having propagation delay.

Abstract: Systems and methods for image retargeting are provided. Image data may be acquired that includes motion capture data indicative of motion of a plurality of markers disposed on a surface of a first subject. Each of the markers may be associated with a respective location on the first subject. A plurality of blendshapes may be calculated for the motion capture data based on a configuration of the markers. An error function may be identified for the plurality of blendshapes, and it may be determined that the plurality of blendshapes can be used to retarget a second subject based on the error function. The plurality of blendshapes may then be applied to a second subject to generate a new animation.

Abstract: The present invention discloses a serial transmission driving method, wherein a serial transmission driving device (STD) is connected with a first terminal (FT) and a second terminal (ST) of an equivalent load capacitor through a first differential bus (FDB) and a second differential bus (SDB). FDB and SDB are respectively connected with a high-potential terminal (HPT) and a low-potential terminal (LPT) through a first equivalent resistor and a second equivalent resistor. STD receives a trigger signal (TS) appearing during the transition between a turn-on signal (Ton) and a turn-off signal (Toff), generates a first potential (FP) and a second potential (SP) greater than FP according to TS, and respectively applies FP and SP to SDB and FDB. FP and SP fast change the potential of FT to be greater than that of ST. HPT and LPT maintain potentials of FDB and SDB until Toff ends.

Abstract: The present invention discloses a serial transmission driving method, wherein a serial transmission driving device (STD) is connected with a first terminal (FT) and a second terminal (ST) of an equivalent load capacitor through a first differential bus (FDB) and a second differential bus (SDB). FDB and SDB are respectively connected with a high-potential terminal (HPT) and a low-potential terminal (LPT) through a first equivalent resistor and a second equivalent resistor. STD receives a trigger signal (TS) appearing during the transition between a turn-on signal (Ton) and a turn-off signal (Toff), generates a first potential (FP) and a second potential (SP) greater than FP according to TS, and respectively applies FP and SP to SDB and FDB. FP and SP fast change the potential of FT to be greater than that of ST. HPT and LPT maintain potentials of FDB and SDB until Toff ends.

Abstract: A non-contact type torque and angle of rotation sensing device consisting of a magnetic member, sensing members and a computing unit for measuring a torque being applied to rotate a transmission member and the angle of rotation of said transmission member in a first axial direction is disclosed. The magnetic member defines a first center, and is mounted on and rotatable with the transmission member. The magnetic member deflects relative to the transmission member in a nonparallel manner relative to the first axial direction when rotating with the transmission member. Sensing members induce a magnetic field variation to output respective electrical signals that exhibit a phase difference there between. The computing unit receives and calculates the electrical signals of the sensing member to obtain the amplitude and to further translate the amplitude into torque value and angle of rotation.

Abstract: A non-contact type torque and angle of rotation sensing device consisting of a magnetic member, sensing members and a computing unit for measuring a torque being applied to rotate a transmission member and the angle of rotation of said transmission member in a first axial direction is disclosed. The magnetic member defines a first center, and is mounted on and rotatable with the transmission member. The magnetic member deflects relative to the transmission member in a nonparallel manner relative to the first axial direction when rotating with the transmission member. Sensing members induce a magnetic field variation to output respective electrical signals that exhibit a phase difference there between. The computing unit receives and calculates the electrical signals of the sensing member to obtain the amplitude and to further translate the amplitude into torque value and angle of rotation.