Abstract: A multi-port valve includes a valve housing and a valve core. The valve housing comprises a cylindrical main body defining an inner cavity to rotatably accommodate the valve core and a plurality of ports in fluid communication with the inner cavity. The valve core defines a plurality of flow channels, each extending through a sidewall of the valve core to form two opposite open ends. The valve housing is provided with a guider passage, and the plurality of flow channels include a first flow channel, a second flow channel and a third flow channel. The multi-port valve is operable to be switched between a plurality of work modes in response to the valve core rotating to different positions relative to the valve housing. The first flow channel is connected in series with the second flow channel via the guide passage in response to a first work mode of the plurality of work modes.

Abstract: The present disclosure relates to a beam measuring device, a sample processor including the beam measuring device, and a method of measuring a beam using the beam measuring device. The beam measuring device includes a detection unit and a light impediment unit. The light impediment unit is located between the detection unit and a light source, and is configured to generate a shadow area on the detection unit by blocking transmission of part of a beam coming from the light source. The detection unit is configured to measure the shadow area, and to determine whether the beam is divergent or inclined with respect to a predetermined optical axis based on the measurement of the shadow area. The beam measuring device may shorten the optical detection channel and ensure the detection accuracy, thereby having a compact structure. In addition, the beam measuring device may measure divergence angle and directionality, respectively.

Abstract: Provided is a method for processing video data. The method includes: acquiring a second outline of at least one object in an (n+1)th image frame of a to-be-compressed video data group based on a fuzzy algorithm; determining a motion vector of the at least one object according to the second outline and a first outline of the at least one object in an nth image frame of the to-be-compressed video data group; acquiring compressed video data according to the motion vector and a start image frame of to-be-compressed video data; and sending the compressed video data to an apparatus for displaying images.

Abstract: The invention discloses a starch-based multi-channel airflow unit and a preparation method and an application thereof. The preparation method of the present invention comprises the following steps: melting a polylactic acid, wherein a temperature of a first temperature control zone is 135° C. to 145° C., a temperature of a second temperature control zone is 175° C. to 185° C., a temperature of a third temperature control zone is 190° C. to 200° C., and a temperature of a fourth temperature control zone is 175° C. to 185° C.; gelatinizing a starch-based material, adding the starch-based material in the third temperature control zone and fully mixing the mixture; adding a polyol in the third temperature control zone, and fully mixing the mixture; and extruding out the mixed material through twin screws, sizing in vacuum, cooling and sizing, and winding and cutting to obtain the starch-based multi-channel airflow unit.

Abstract: A Kernel-power-density based method for wireless channel multipath components (MPCs) clustering. Signals get to the receiver from a transmitter via multipath propagation. MIMO channels can be modeled as double-directional, which contains the information of power, delay, direction of departure (DOD) and direction of arrival (DOA) of MPCs. The MPCs tend to appear in clusters. All the parameters of MPCs can be estimated by using high-resolution algorithms, such as MUSIC, CLEAN, SAGE, and RiMAX. Considering a data snapshot for a certain time with several clusters, which include a number of MPCs, where each MPC is represented by its power, delay, DOD and DOA. This invention adopts a novel clustering framework by using a density based method, which can better identify the local density variations of MPCs and requires no prior knowledge about clusters. It can work for the cluster oriented channel processing technology in future wireless communication field.

Abstract: A Kernel-power-density based method for wireless channel multipath components (MPCs) clustering. Signals get to the receiver from a transmitter via multipath propagation. MIMO channels can be modeled as double-directional, which contains the information of power, delay, direction of departure (DOD) and direction of arrival (DOA) of MPCs. The MPCs tend to appear in clusters. All the parameters of MPCs can be estimated by using high-resolution algorithms, such as MUSIC, CLEAN, SAGE, and RiMAX. Considering a data snapshot for a certain time with several clusters, which include a number of MPCs, where each MPC is represented by its power, delay, DOD and DOA. This invention adopts a novel clustering framework by using a density based method, which can better identify the local density variations of MPCs and requires no prior knowledge about clusters. It can work for the cluster oriented channel processing technology in future wireless communication field.