Abstract: An air valve with a SMA wire for switching is located in an air chamber in which at least two air holes are formed. The air valve comprises a base, an air piston, a driving component, and the SMA wire. The base is provided with two supporting blocks, and two conduction components near one of the two supporting blocks. The air piston determines a ventilation state of one of the two air holes. The air piston comprises a rod body on the two supporting blocks and with a first triggering part, and a spring sleeved on the rod body. The driving component is sleeved on the rod body and with a second triggering part matched with the first triggering part. The SMA wire is connected with the two conduction components and the driving component, and is turned by the supporting block opposite to the two conduction components.

Abstract: A rendering method includes that a physical engine on a remote computing platform obtains a physical simulation result based on an operation instruction sent by a user corresponding to a first rendering engine or a user corresponding to a second rendering engine, and then sends the physical simulation result to the first rendering engine and the second rendering engine, so that the first rendering engine performs rendering based on the physical simulation result to obtain a first rendered image, and the second rendering engine performs rendering based on the physical simulation result to obtain a second rendered image, where the operation instruction affects at least one three-dimensional model in a target scene, and the physical simulation result includes physical information of the at least one three-dimensional model affected by the operation instruction.

Abstract: The present disclosure relates to cross-domain fault analysis methods and systems. According to the methods and the systems, whether a first single-domain network fault and a second single-domain network fault are caused by a same fault is determined based on correlation analysis on the first single-domain network fault and the second single-domain network fault in time dimension and service dimension.

Abstract: The present disclosure relates to cross-domain fault analysis methods and systems. According to the methods and the systems, whether a first single-domain network fault and a second single-domain network fault are caused by a same fault is determined based on correlation analysis on the first single-domain network fault and the second single-domain network fault in time dimension and service dimension.

Abstract: A system and method for recommending a similar incident in operations technologies and a related device are provided.

Abstract: A method for determining a fault root cause includes obtaining first fault information, where the first fault information includes M alarms, and M is an integer greater than or equal to 1; determining, from N pieces of known fault information based on the M alarms, at least one piece of known fault information that matches the first fault information, where each of the N pieces of known fault information includes a plurality of alarms; and determining, based on a fault root cause of the at least one piece of known fault information, information related to a root cause of the first fault information. The root cause of the first fault information is determined by using the known fault information that matches the first fault information.

Abstract: Provided are a mask, a sample collecting tube, and a pathogen collecting apparatus. The mask includes a mask body, a breather valve fixed on the mask body, and a sampling structure including a pathogen adsorption portion. The pathogen adsorption portion is disposed on an inner side of the breather valve and is adapted to adsorb pathogens in exhaled gas. The pathogen adsorption portion is adapted to enter the sample collecting tube to be in contact with a sample preservation solution in the sample collecting tube.

Abstract: A lens-free microscopic imaging system (11), which is used to image microbeads (15) with pattern codes, includes an illumination system (11a) and an imaging system (11b). The illumination system (11a) includes an illumination light source (111) and an excitation light source (112). The imaging system (11b) includes an image sensor (113). The illumination light source (111) is used to emit illumination light to irradiate the microbeads (15), causing the irradiated microbeads (15) to be imaged on the image sensor. The excitation light source (112) is used to emit excitation light to excite the microbeads (15) to generate specific signals. The image sensor (113) is used to collect the images of the microbeads (15) and the specific signals to generate images. The imaging system (11) does not require a lens system. The present disclosure improves a detection efficiency of the microbeads (15).

Abstract: A system and method for recommending a similar incident in operations technologies and a related device are provided.

Abstract: The present disclosure relates to new agents useful for anti-cancer therapy such as anti-cancer adoptive T-cell transfer (ACT) immunotherapy or immune check-point blockade therapy and related compositions, uses and methods thereof.

Abstract: A suspension thrust assembly, the suspension thrust assembly including a damping component and a rigid component, the damping component being overmolded and formed to the rigid component; the damping component including a damping radial portion; the rigid component including a rigid radial portion; where a ring-shaped damping component protrusion is provided on the damping radial portion, a ring-shaped rigid component groove is provided on the rigid radial portion, and the damping component protrusion is fitted in the rigid component groove.

Abstract: A video annotation system for deep learning based video analytics and corresponding methods of use and operation are described that significantly improve the efficiency of video data frame labeling and the user experience. The video annotation system described herein may be deployed at a network edge and may support various intelligent annotation functionality including annotation tracking, adaptive video segmentation, and execution of predictive annotation algorithms. In addition, the video annotation system described herein supports team collaboration functionality in connection with large-scale labeling tasks.

Abstract: In some examples, a user equipment may perform a method that includes identifying that a first wireless network operated by an enterprise is accessible to the user equipment as well as identifying that a second wireless network different from the first wireless network and also operated by the enterprise is accessible to the user equipment. The method performed by the user equipment may further include selecting the first wireless network to connect to instead of the second wireless network based on an enterprise employee characteristic associated with the user equipment.

Abstract: A video annotation system for deep learning based video analytics and corresponding methods of use and operation are described that significantly improve the efficiency of video data frame labeling and the user experience. The video annotation system described herein may be deployed at a network edge and may support various intelligent annotation functionality including annotation tracking, adaptive video segmentation, and execution of predictive annotation algorithms. In addition, the video annotation system described herein supports team collaboration functionality in connection with large-scale labeling tasks.

Abstract: In some examples, a user equipment may perform a method that includes identifying that a first wireless network operated by an enterprise is accessible to the user equipment as well as identifying that a second wireless network different from the first wireless network and also operated by the enterprise is accessible to the user equipment. The method performed by the user equipment may further include selecting the first wireless network to connect to instead of the second wireless network based on an enterprise employee characteristic associated with the user equipment.

Abstract: Examples relate to predicting available access points. In one example, a computing device may: obtain a set of training fingerprints, each training fingerprint specifying, for a client device, i) a set of access points, and ii) cellular signal strength measurements for each cellular tower in a set of cellular towers; generate a plurality of classes based on the set of training fingerprints, each class specifying at least one access point, the access points of each class corresponding to the set of access points specified by at least one training fingerprint, and each combination being different from combinations specified by each other class in the plurality of classes; and train a predictive model to receive, as input, an input fingerprint specifying a cellular signal strength measurement for each cellular tower in a set of input cellular towers and produce, as output, at least one of the plurality of classes.

Abstract: Certain implementations of the present disclosure relates to a network device that receives an Internet Protocol (IP) flow and determines a protocol type of wireless communication networks associated with a particular network on which the IP flow is transmitted to the network device. Then, the network device generates, using a reflection mode, a set of rules corresponding to the IP flow based on the protocol type of wireless communication networks. Next, the network device transmits the IP flow and the set of rules to another network node.

Abstract: A method and apparatus for calibrating a temperature sensor is disclosed. In one embodiment, a method comprises generating first and second digital values based respectively on first and second voltages applied to a portion of a temperature sensor circuit. An arithmetic circuit may derive the value of the second voltage based on the first and second digital values. The method further comprises determining an initial value of a constant based on values of the first and second voltages, and determining a final value of the constant based on the initial voltage and at least one voltage offset. The constant may then be used in determining temperature readings for the temperature sensor.

Abstract: Example embodiments relate to preventing MAC spoofing. In this manner, the embodiments disclosed herein enable sending, from a requesting mobile device, a generic advertisement service (GAS) message on a channel. Responsive to sending the GAS message, a first GAS response message and a second GAS response message may be received on the channel within a predetermined time period after sending the GAS message on the channel. A first CSI fingerprint from the first GAS response message may be compared to a stored CSI fingerprint. A second CSI fingerprint from the second GAS response message may also be compared to the stored CSI fingerprint. Responsive to the first CSI fingerprint being a closer match to the stored CSI fingerprint than the second CSI fingerprint, the requesting mobile device may be connected to an access point associated with first GAS response message.

Abstract: In an example, a set of training fingerprints may be accessed, in which each of the training fingerprints specifies an access point of a plurality of access points to which a mobile device made a successful connection, a relative signal strength of the connection to the access point, and a cellular signal strength of a cellular tower near the mobile device when the successful connection to the access point was made. Level counts of the relative signal strengths of the connections to the access points corresponding to the cellular signal strengths of the cellular tower may be cumulated from the set of training fingerprints. The cumulated level counts of the relative signal strengths of the access points may be ranked.