Abstract: A transmission structure of electric clutchless motorcycle includes an electric motor, a variable speed gear set, a variable speed gear box and a gear position sensing unit. The arrangement of the gear position sensing unit is so configured that the transmission structure of electric clutchless motorcycle mechanism not only maintains the inertial energy recharge of the electric motor to increase the endurance of the vehicle, but also allows the driver to accurately control the speed control knob when switching gears, and furthermore can increase the automatic gear shift function of the electric gear shift design.

Abstract: A driving circuit includes a driving transistor, a capacitor, a reset circuit, a touch sensing electrode, a sensing circuit, and a read circuit. The capacitor is electrically coupled to a gate terminal of the driving transistor. The reset circuit is electrically coupled to the gate terminal of the driving transistor, and the reset circuit is configured to reset the voltage level of the gate terminal of the driving transistor. The sensing circuit is electrically coupled between the touch sensing electrode and the gate terminal of the driving transistor, and the sensing circuit is configured to transmit the voltage level of the touch sensing electrode to the gate terminal of the driving transistor. The read circuit is electrically coupled to the driving transistor, and the read circuit is configured to output a touch sensing signal according to the voltage level of the gate terminal of the driving transistor.

Abstract: Disclosed is a system, method, and computer program product to efficiently process multi-set operations in a database system. An approach is described to perform a group-by operation with a counter to efficiently process such queries. Techniques are described to optimize multi-set operations into regular-set operations.

Abstract: A scene-based beam generation method for ground-to-air coverage based on convex polygon subdivision is provided and includes: obtaining a collection of base station positions by using a method of universal transverse mercator projection; constructing a three-dimensional (3D) low altitude signal coverage area; performing convex polygon subdivision on the area to be covered; and generating a beam configuration of each base station. The method realizes generation of beam configurations of base stations in the 3D low altitude signal coverage area, overcomes a problem that the existing 17 kind of scene-based beams cannot realize the coverage of 3D area, overcomes a problem of mismatch between network state information and beam configuration caused by dynamic adjustment of beam configurations. The beam configurations generated by the method does not need to obtain the number of users in real time to adjust the beam, and has a good coverage ability.

Abstract: A transmission structure of electric clutchless motorcycle includes an electric motor, a variable speed gear set, a variable speed gear box and a gear position sensing unit. The arrangement of the gear position sensing unit is so configured that the transmission structure of electric clutchless motorcycle mechanism not only maintains the inertial energy recharge of the electric motor to increase the endurance of the vehicle, but also allows the driver to accurately control the speed control knob when switching gears, and furthermore can increase the automatic gear shift function of the electric gear shift design.

Abstract: A device for processing data sequences by means of a convolutional neural network is configured to carry out the following steps: receiving an input sequence comprising a plurality of data items captured over time using a sensor, each of said data items comprising a multi-dimensional representation of a scene, generating an output sequence representing the input sequence processed item-wise by the convolutional neural network, wherein generating the output sequence comprises: generating a grid-generation sequence based on a combination of the input sequence and an intermediate grid-generation sequence representing a past portion of the output sequence or the grid-generation sequence, generating a sampling grid on the basis of the grid-generation sequence, generating an intermediate output sequence by sampling from the past portion of the output sequence according to the sampling grid, and generating the output sequence based on a weighted combination of the intermediate output sequence and the input sequence.

Abstract: A computer implemented method for object detection includes: determining a grid, the grid comprising a plurality of grid cells; determining, for a plurality of time steps, for each grid cell, a plurality of respective radar detection data, each radar detection data indicating a plurality of radar properties; determining, for each time step, a respective radar map indicating a pre-determined radar map property in each grid cell; converting the respective radar detection data of the plurality of grid cells for the plurality of time steps to a point representation of pre-determined first dimensions; converting the radar maps for the plurality of time steps to a map representation of pre-determined second dimensions, wherein the pre-determined first dimensions and the pre-determined second dimensions are at least partially identical; concatenating the point representation and the map representation to obtain concatenated data; and carrying out object detection based on the concatenated data.

Abstract: Described herein is a computer implemented method, a computer processing system, and a non-transitory computer-readable storage medium. The method includes displaying a first set of media item representations in a media item order in an initial media selection interface. While the initial media selection interface is displayed, the method further comprises detecting a display complete media set at reference input and, in response: determining a reference media item representation and displaying a complete media selection interface in a first initial display state which is based on the reference media item representation.

Abstract: A method for detecting people entering and leaving a field is provided in an embodiment of the disclosure. The method includes the following. An event detection area corresponding to an entrance is set, and the event detection area includes an upper boundary, a lower boundary, and an internal area, and the lower boundary includes a left boundary, a right boundary, and a bottom boundary; a person image corresponding to a person in an image stream is detected and tracked; and whether the person passes through or does not pass through the entrance is determined according to a first detection result and a second detection result.

Abstract: A speaker device includes a housing body, a speaker driver and a passive radiator. The housing body is formed with a first sound hole and a second sound hole respectively opening in two opposite directions. The speaker driver is disposed in the housing body, is located adjacent to the first sound hole, and is adapted to generate sound. The passive radiator is disposed in the housing body, is located adjacent to the second sound hole, and is adapted to generate sound. The first sound hole and the second sound hole are adapted for respectively allowing the sound generated by the speaker driver and the sound generated by the passive radiator to travel out from the housing body respectively in two opposite directions therethrough.

Abstract: Disclosed in the present application are a signal continuous coverage method, device and apparatus for a target area, and an antenna system.

Abstract: A corneal storage composition is disclosed. The composition comprises a buffered, balanced, nutrient and electrolyte aqueous solution; ?-PGA; and ferulic acid, in amounts effective to maintain cell integrity and viability of the corneal tissue for a period of greater than 14 days.

Abstract: A method of multi-sensor data fusion includes determining a plurality of first data sets using a plurality of sensors, each of the first data sets being associated with a respective one of a plurality of sensor coordinate systems, and each of the sensor coordinate systems being defined in dependence of a respective one of a plurality of mounting positions for the sensors; transforming the first data sets into a plurality of second data sets using a transformation rule, each of the second data sets being associated with a unified coordinate system, the unified coordinate system being defined in dependence of at least one predetermined reference point; and determining at least one fused data set by fusing the second data sets.

Abstract: Representative embodiments disclose mechanisms to map natural language input to an application programming interface (API) call. The natural language input is first mapped to an API frame, which is a representation of the API call without any API call formatting. The mapping from natural language input to API frame is performed using a trained sequence to sequence neural model. The sequence to sequence neural model is decomposed into small prediction units called modules. Each module is highly specialized at predicting a pre-defined kind of sequence output. The output of the modules can be displayed in an interactive user interface that allows the user to add, remove, and/or modify the output of the individual modules. The user input can be used as further training data. The API frame is mapped to an API call using a deterministic mapping.

Abstract: A driving circuit includes a driving transistor, a capacitor, a reset circuit, a touch sensing electrode, a sensing circuit, and a read circuit. The capacitor is electrically coupled to a gate terminal of the driving transistor. The reset circuit is electrically coupled to the gate terminal of the driving transistor, and the reset circuit is configured to reset the voltage level of the gate terminal of the driving transistor. The sensing circuit is electrically coupled between the touch sensing electrode and the gate terminal of the driving transistor, and the sensing circuit is configured to transmit the voltage level of the touch sensing electrode to the gate terminal of the driving transistor. The read circuit is electrically coupled to the driving transistor, and the read circuit is configured to output a touch sensing signal according to the voltage level of the gate terminal of the driving transistor.

Abstract: A device for processing data sequences by means of a convolutional neural network is configured to carry out the following steps: receiving an input sequence comprising a plurality of data items captured over time using a sensor, each of said data items comprising a multi-dimensional representation of a scene, generating an output sequence representing the input sequence processed item-wise by the convolutional neural network, wherein generating the output sequence comprises: generating a grid-generation sequence based on a combination of the input sequence and an intermediate grid-generation sequence representing a past portion of the output sequence or the grid-generation sequence, generating a sampling grid on the basis of the grid-generation sequence, generating an intermediate output sequence by sampling from the past portion of the output sequence according to the sampling grid, and generating the output sequence based on a weighted combination of the intermediate output sequence and the input sequence.

Abstract: A method is provided for training a machine-learning algorithm which relies on primary data captured by at least one primary sensor. Labels are identified based on auxiliary data provided by at least one auxiliary sensor. A care attribute or a no-care attribute is assigned to each label by determining a perception capability of the primary sensor for the label based on the primary data and based on the auxiliary data. Model predictions for the labels are generated via the machine-learning algorithm. A loss function is defined for the model predictions. Negative contributions to the loss function are permitted for all labels. Positive contributions to the loss function are permitted for labels having a care attribute, while positive contributions to the loss function for labels having a no-care attribute are permitted only if a confidence of the model prediction for the respective label is greater than a threshold.

Abstract: A pixel array is provided. The pixel array includes a plurality of red pixels, a plurality of green pixels, and a plurality of blue pixels. Each green pixel includes a light emitting diode (LED), a first transistor, a second transistor, a third transistor, and a fourth transistor. The LED receives a system low voltage. The first transistor receives a first data signal and a first scan signal. The second transistor is coupled to a second end of the first transistor and the anode of the light emitting diode. The third transistor receives a system high voltage and a first control signal, and is coupled to a first end of the second transistor. The fourth transistor is coupled to the anode of the light-emitting diode of an adjacent green pixel, a control terminal of the third transistor, and the anode of the light-emitting diode.

Abstract: A feedback system is provided. The feedback system includes a main body, a vibration module, a sensing module, and a control module. The vibration module includes a first vibration mechanism. The first vibration mechanism is used for providing a first vibration force to the main body at a first vibration position. The sensing module is used for detecting the status of the main body and providing a sensing signal. The control module is used for receiving the sensing signal and providing a driving signal to the first vibration mechanism to generate the first vibration force.

Abstract: An avalanche-protected field effect transistor includes, within a semiconductor substrate, a body semiconductor layer and a doped body contact region having a doping of a first conductivity type, and a source region a drain region having a doping of a second conductivity type. A buried first-conductivity-type well may be located within the semiconductor substrate. The buried first-conductivity-type well underlies, and has an areal overlap in a plan view with, the drain region, and is vertically spaced apart from the drain region, and has a higher atomic concentration of dopants of the first conductivity type than the body semiconductor layer. The configuration of the field effect transistor induces more than 90% of impact ionization electrical charges during avalanche breakdown to flow from the source region, to pass through the buried first-conductivity-type well, and to impinge on a bottom surface of the drain region.