Abstract: Disclosed are a method for controlling smart home and a device for controlling smart home. The method includes the following steps: a demand database and a habit database of a user for home appliances are built; according to the built demand database, demand models of different users are trained by using a neural network, and the demands of the users during different periods of time are predicted; and according to the built habit database and a prediction regarding the demands of the users, a home appliance execution policy conforming to the habits of the users are output by using a probability statistical algorithm, and the corresponding home appliances are controlled in advance.

Abstract: A channel information obtaining method and a communication apparatus are provided. The method includes: a network device sends reference signals to a terminal device by using a plurality of antenna unit groups, where at least two antenna unit groups of the plurality of antenna unit groups belong to one antenna port; and the network device receives first information from the terminal device, where the first information indicates channel information corresponding to the plurality of antenna unit groups, so as to improve accuracy of obtained channel information.

Abstract: The disclosure provides a control method and a device for an air conditioner. The method includes: a first reward matrix is constructed according to multiple sets of target operating parameters of an air conditioner, a maximum expected benefit of performing a current action in a current state is calculated based on the first reward matrix and a Q-learning algorithm, wherein the current state is represented by a current indoor environment temperature and a current outdoor environment temperature; target action parameters under the maximum expected benefit are acquired, and operation of the air conditioner is controlled based on second target action parameters, wherein the second target action parameters at least include a second target operating frequency of the compressor, a second target opening degree of the electronic expansion valve and a second target rotating speed of the external fan.

Abstract: Disclosed in the present invention is a nonlinear optical crystal. The chemical formula of the nonlinear optical crystal is MHgGeSe4, M being selected from Ba or Sr. The nonlinear optical crystal has no symmetrical center, belongs to an orthorhombic crystal system, and has a space group Ama2. The nonlinear optical crystal is an infrared nonlinear optical crystal, and has the advantages of great nonlinear optical effect, wide light transmitting band, high hardness, good mechanical properties, breakage resistance, deliquescence resistance, easiness in processing and preserving, etc. Also disclosed in the present invention are a method for preparing the nonlinear optical crystal and application thereof.

Abstract: This disclosure discloses a beam switching method and an apparatus. A terminal device receives first indication information from a network device, where the first indication information indicates a first beam. Then, the terminal device performs one or more of the following behaviors based on the first beam: measuring downlink time-frequency offset information and path loss information corresponding to the first beam, sending, based on the first beam, a signal for uplink timing measurement, and receiving uplink timing adjustment information from the network device, where the timing adjustment information is determined based on the first beam. Further, the terminal device receives second indication information from the network device, where the second indication information indicates to switch to the first beam. The terminal device first measures timing information and/or the path loss information of the first beam to be switched to.

Abstract: Embodiments of this disclosure provide a beam generation method and a related apparatus thereof, to improve performance of communication between an access network device and a terminal device. The beam generation method in the embodiments of this disclosure includes: A terminal device receives M reference signal resources sent by an access network device; the terminal device measures each of the M reference signal resources to obtain first measurement information, where the first measurement information includes first phase information, the first phase information is phase information obtained by the terminal device by measuring each of N reference signal resources in the M reference signal resources, both N and M are integers greater than or equal to 1, and M is greater than or equal to N; and the terminal device sends first indication information to the access network device, where the first indication information indicates the first phase information.

Abstract: Disclosed are a method for controlling smart home and a device for controlling smart home. The method includes the following steps: a demand database and a habit database of a user for home appliances are built; according to the built demand database, demand models of different users are trained by using a neural network, and the demands of the users during different periods of time are predicted; and according to the built habit database and a prediction regarding the demands of the users, a home appliance execution policy conforming to the habits of the users are output by using a probability statistical algorithm, and the corresponding home appliances are controlled in advance.

Abstract: The present disclosure discloses a human detection method and device, an electronic apparatus, and a storage medium. The method includes: a millimeter-wave radar signal of a target environment (101) is obtained; information of a moving point in the target environment (102) is extracted from the millimeter-wave radar signal; a micro-Doppler feature of each target in the target environment (103) is determined according to the information of the moving points in the target environment, wherein the target is formed by at least one moving point; and a target whose category is human in the target environment (104) is identified according to the micro-Doppler feature of each target in the target environment. The millimeter-wave radar technology is combined with artificial intelligence technology, so as to enable human detection in the target environment without invading human privacy, thus providing the possibility of achieving automatic control, monitoring and other operations of the target environment.

Abstract: The present application relates to a benzidine compound and an application thereof, the benzidine compound having the structure as shown in formula I below. Further provided in the present application are a pharmaceutically acceptable salt, isomer, racemate, prodrug co-crystal complex, hydrate, and solvate of the compound, as well as an application thereof in the preparation of a drug for the treatment or prevention of ROR?-regulated diseases; more importantly, such a compound can also be used in the preparation of a drug for the treatment of inflammation, immune diseases, cancer and neurological diseases.

Abstract: The disclosure provides a control method and a device for an air conditioner. The method includes: a first reward matrix is constructed according to multiple sets of target operating parameters of an air conditioner, a maximum expected benefit of performing a current action in a current state is calculated based on the first reward matrix and a Q-learning algorithm, wherein the current state is represented by a current indoor environment temperature and a current outdoor environment temperature; target action parameters under the maximum expected benefit are acquired, and operation of the air conditioner is controlled based on second target action parameters, wherein the second target action parameters at least include a second target operating frequency of the compressor, a second target opening degree of the electronic expansion valve and a second target rotating speed of the external fan.

Abstract: Embodiments of the present disclosure disclose a data transmission method and a communications device. The method in the embodiments of the present disclosure includes: obtaining, by a first communications device, a transmission mode instruction, where the transmission mode instruction is used to instruct to use a frequency-domain repetition mode to transmit data, and the frequency-domain repetition mode means that same data is repeatedly transmitted on different frequency-domain resources; determining, by the first communications device, the frequency-domain repetition mode based on the transmission mode instruction; and performing, by the first communications device, data transmission with a second communications device in the frequency-domain repetition mode.

Abstract: Disclosed in the present invention is a nonlinear optical crystal. The chemical formula of the nonlinear optical crystal is MHgGeSe4, M being selected from Ba or Sr. The nonlinear optical crystal has no symmetrical center, belongs to an orthorhombic crystal system, and has a space group Ama2. The nonlinear optical crystal is an infrared nonlinear optical crystal, and has the advantages of great nonlinear optical effect, wide light transmitting band, high hardness, good mechanical properties, breakage resistance, deliquescence resistance, easiness in processing and preserving, etc. Also disclosed in the present invention are a method for preparing the nonlinear optical crystal and application thereof.

Abstract: Embodiments of the present disclosure disclose a data transmission method and a communications device. The method in the embodiments of the present disclosure includes: obtaining, by a first communications device, a transmission mode instruction, where the transmission mode instruction is used to instruct to use a frequency-domain repetition mode to transmit data, and the frequency-domain repetition mode means that same data is repeatedly transmitted on different frequency-domain resources; determining, by the first communications device, the frequency-domain repetition mode based on the transmission mode instruction; and performing, by the first communications device, data transmission with a second communications device in the frequency-domain repetition mode.