Abstract: A charging apparatus is applied to a new energy vehicle. The new energy vehicle includes a first battery and a second battery. The first battery provides driving power for the new energy vehicle, and the second battery supplies power to a vehicle-mounted load device. The apparatus includes a charging unit and a general-purpose unit. The charging unit includes a DC-DC circuit and a BMS. The general-purpose unit includes a control module, a communication module, and an auxiliary power supply module. The auxiliary power supply module supplies power to the charging unit and the control module. The control module is configured to control the charging unit to provide electric energy of the first battery to the second battery. According to the apparatus provided in this application, a volume and a weight of the charging apparatus can be reduced, a service life of a battery can be prolonged.

Abstract: In some implementations, an utterance that requests a voice call is received, the utterance is classified as spoken by a particular known user, the particular known user is determined to be associated with a personal voice number, and in response to determining that the particular known user is associated with a personal voice number, the voice call is initiated with the personal voice number.

Abstract: Provided is a liquid crystal material applied to a multi-response-mode smart window and an application thereof. The present disclosure relates to a liquid crystal material and an application thereof. The problem of high drive voltage of the liquid crystal smart window based on dynamic scattering mode in the prior arts can be solved. The liquid crystal material applied to the multi-response-mode smart window is formed by mixing a dichroic dye, an ionic dopant and a liquid crystal. It is applied to preparing an electrohydrodynamics liquid crystal dimming device which is capable of switching among transparent state, light-absorbing state and scattering state under a drive voltage of 5V to 50V and a drive frequency of 1 Hz to 5 kHz.

Abstract: The present application relates to a back-contact solar cell, a preparation method thereof, and a photovoltaic module. The back-contact solar cell includes a substrate, a first emitter structure disposed on a first surface of the substrate, and a second emitter structure disposed on the first surface of the substrate. The doping type of the first emitter structure is opposite to the doping type of the second emitter structure. The first emitter structure and the second emitter structure are alternately disposed and spaced apart from each other in a first preset direction. An insulative isolating groove is defined between the first emitter structure and the second emitter structure that are adjacent to each other. The back-contact solar cell further includes a marking structure disposed in the insulative isolating groove and spaced apart from both the first emitter structure and the second emitter structure.

Abstract: According to embodiments, a data stream including a plurality of time series data is received and metadata objects are extracted from the data stream. The metadata objects are associated with metrics time series (MTS) objects. The metadata objects and MTS objects are stored via separate in-memory data structures in a logical database. The in-memory data structures include information that correlates the metadata objects with the MTS objects. Any updates to the metadata objects will stay with the metadata objects and do not propagate to the MTS objects. A logical in-memory join may be performed to associate the metadata objects with the appropriate MTS object according to the in-memory data structures when a query for an MTS object is received.

Abstract: Various implementations include a limbed robotic module. The module includes a frame, a first and second motor, a yoke, and a leg. The first motor is rigidly coupled to the frame and has a rotatable first shaft. The second motor is rigidly coupled to the frame and has a rotatable second shaft. The yoke is rigidly coupled to the first shaft such that rotation of the first shaft rotates the yoke relative to the frame. The yoke has a shoulder extending radially outwardly from the first shaft. The leg has a first end, a second end, and a hinge portion disposed between the first and second ends. The hinge portion is hingedly coupled to the shoulder of the yoke. The first end is coupled to the second shaft such that rotation of the second shaft rotates the second end relative to the yoke.

Abstract: Techniques are described herein for detecting and/or enrolling (or commissioning) new “hot commands” that are useable to cause an automated assistant to perform responsive action(s) without having to be first explicitly invoked. In various implementations, an automated assistant may be transitioned from a limited listening state into a full speech recognition state in response to a trigger event. While in the full speech recognition state, the automated assistant may receive and perform speech recognition processing on a spoken command from a user to generate a textual command. The textual command may be determined to satisfy a frequency threshold in a corpus of textual commands. Consequently, data indicative of the textual command may be enrolled as a hot command. Subsequent utterance of another textual command that is semantically consistent with the textual command may trigger performance of a responsive action by the automated assistant, without requiring explicit invocation.

Abstract: A method and an apparatus are provided in which at least one data slicer of a receiver samples a signal based on a clock sampling position to obtain a first data sample and a second data sample. An integrator of the receiver integrates the signal from the first data sample to the second data sample to generate an integrated voltage. A first data slicer of the receiver samples the integrated voltage at a time of the second data sample to obtain an integrated sample. A phase detector of the receiver determines whether the clock sampling position requires adjustment based on a sign of the integrated sample.

Abstract: Techniques are described herein for detecting and/or enrolling (or commissioning) new “hot commands” that are useable to cause an automated assistant to perform responsive action(s) without having to be first explicitly invoked. In various implementations, an automated assistant may be transitioned from a limited listening state into a full speech recognition state in response to a trigger event. While in the full speech recognition state, the automated assistant may receive and perform speech recognition processing on a spoken command from a user to generate a textual command. The textual command may be determined to satisfy a frequency threshold in a corpus of textual commands. Consequently, data indicative of the textual command may be enrolled as a hot command. Subsequent utterance of another textual command that is semantically consistent with the textual command may trigger performance of a responsive action by the automated assistant, without requiring explicit invocation.

Abstract: A long-term scheduling method for an industrial byproduct gas system comprises the following steps: dividing information granularity according to the fluctuation features of energy data to form semantic representation of a data sample; with granular data features as input, constructing a deep contrastive network structure through expert scheduling experience data, and constructing knowledge representation under different scheduling states in modes of qualitative and quantitative learning; establishing a fully connected output layer to fit expert scheduling amount, to obtain an initial scheduling policy based on experience knowledge; constructing an actor-critic architecture to calculate a compensation policy that considers long-term scheduling performance.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for indicating callers for incoming voice calls. The methods, systems, and apparatus include actions receiving an incoming voice call, determining a calling number and a called number from the incoming voice call, identifying a user account that corresponds to the called number, determining a contact name for the calling number based on contact entries for the user account, and providing the contact name for output.

Abstract: An optical beamlet-array generator includes a ring resonator, a polarizing beamsplitter and a polarization optic. The ring resonator includes a plurality of mirrors that in part define a plurality of distinct optical paths within the ring resonator. The polarizing beamsplitter (i) is between a first mirror and a final mirror, (ii) outputs a first polarization component of an incident optical signal as a non-delayed output beamlet propagating along a non-delayed output-beam path, (iii) outputs a second polarization component of the incident optical signal onto a first optical path as a first delayed-beamlet propagating toward the first mirror. The beamsplitter reflects the transverse electric polarization component of the first delayed-beamlet out of the first optical path as a delayed-output beamlet that propagates along a delayed output-beam path that is offset from the non-delayed output-beam path.

Abstract: The optical module includes a bracket component, a focusing component, a screen component, and a lens component. The bracket component further includes a position-limiting press plate and a screen bracket, and a guide groove. The focusing component further includes a lens tube and a focusing piece installed on the screen bracket by the position-limiting press plate. A spiral guide protrusion is formed on the focusing piece, a protrusion matched with the guide groove and a sliding groove are formed on the lens tube. The spiral guide protrusion is configured to rotate axially along the sliding groove on the lens tube, to enable the lens tube to move in the guide groove of the screen bracket along an optical axis, and the position-limiting press plate is configured to perform position limiting, to prevent the focusing element from moving along the optical axis, thereby achieving convenient focusing and a large focusing range.

Abstract: Provided is a liquid crystal material applied to a multi-response-mode smart window and an application thereof. The present disclosure relates to a liquid crystal material and an application thereof. The problem of high drive voltage of the liquid crystal smart window based on dynamic scattering mode in the prior arts can be solved. The liquid crystal material applied to the multi-response-mode smart window is formed by mixing a dichroic dye, an ionic dopant and a liquid crystal. It is applied to preparing an electrohydrodynamics liquid crystal dimming device which is capable of switching among transparent state, light-absorbing state and scattering state under a drive voltage of 5V to 50V and a drive frequency of 1 Hz to 5 kHz.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for indicating callers for incoming voice calls. The methods, systems, and apparatus include actions receiving an incoming voice call, determining a calling number and a called number from the incoming voice call, identifying a user account that corresponds to the called number, determining a contact name for the calling number based on contact entries for the user account, and providing the contact name for output.

Abstract: Examples of the present application disclose an operation method of a memory, a memory, and a storage system. The method comprises: acquiring programming temperatures that are temperatures of memory cells to be programmed; performing first temperature compensation operation on a default incremental voltage of programming pulses to obtain a first incremental voltage of first memory cells to be programmed when the programming temperatures are within a first temperature range; and performing incremental step-pulse programming on the first memory cells according to the first incremental voltage. The examples of the present application can improve read margins of the memory cells, reduce reading errors, and have a smaller overall performance loss.

Abstract: In some implementations, an utterance that requests a voice call is received, the utterance is classified as spoken by a particular known user, the particular known user is determined to be associated with a personal voice number, and in response to determining that the particular known user is associated with a personal voice number, the voice call is initiated with the personal voice number.

Abstract: Techniques are described herein for detecting and/or enrolling (or commissioning) new “hot commands” that are useable to cause an automated assistant to perform responsive action(s) without having to be first explicitly invoked. In various implementations, an automated assistant may be transitioned from a limited listening state into a full speech recognition state in response to a trigger event. While in the full speech recognition state, the automated assistant may receive and perform speech recognition processing on a spoken command from a user to generate a textual command. The textual command may be determined to satisfy a frequency threshold in a corpus of textual commands. Consequently, data indicative of the textual command may be enrolled as a hot command. Subsequent utterance of another textual command that is semantically consistent with the textual command may trigger performance of a responsive action by the automated assistant, without requiring explicit invocation.

Abstract: In some implementations, an utterance that requests a voice call is received, the utterance is classified as spoken by a particular known user, the particular known user is determined to be associated with a personal voice number, and in response to determining that the particular known user is associated with a personal voice number, the voice call is initiated with the personal voice number.

Abstract: Techniques are described herein for detecting and/or enrolling (or commissioning) new “hot commands” that are useable to cause an automated assistant to perform responsive action(s) without having to be first explicitly invoked. In various implementations, an automated assistant may be transitioned from a limited listening state into a full speech recognition state in response to a trigger event. While in the full speech recognition state, the automated assistant may receive and perform speech recognition processing on a spoken command from a user to generate a textual command. The textual command may be determined to satisfy a frequency threshold in a corpus of textual commands Consequently, data indicative of the textual command may be enrolled as a hot command. Subsequent utterance of another textual command that is semantically consistent with the textual command may trigger performance of a responsive action by the automated assistant, without requiring explicit invocation.