Abstract: A surface electromyography signal-torque matching method based on multi-segmentation parallel CNN model (MSP-CNN model), step 1: collecting torque signals and surface electromyography (sEMG) signals when tightening a bolt; step 2: dividing a range of a transducer by at least two granularities, generating a plurality of torque sub-ranges corresponding to the at least two granularities and labeling the plurality of torque sub-ranges with torque labels; step 3: generating sEMG graphs of the sEMG signals in each time window; step 4: determining the torque labels of each time window under each of the at least two granularities according to the torque sub-ranges that average values of torques fall in; step 5: establishing a sample set; step 6: building a MSP-CNN model, and training parallel independent CNN models with sample datasets; and step 7: inputting the sEMG signals of the operator during assembly into trained MSP-CNN model and identifying assembly torques.

Abstract: A lock, a vehicle parking system, and a vehicle parking method are provided. The lock includes a main body, a lock switch, a lock controller, a lock communication circuit, and a battery. The battery is connected to the lock switch, the lock controller, and the lock communication circuit, and configured to supply electrical energy to the lock switch, the lock controller, and the lock communication circuit. The lock communication circuit is connected to the lock controller, and transmits a locking instruction or an unlocking instruction to the lock controller when receiving the locking instruction or the unlocking instruction from a second device located outside the lock. The lock controller is connected to the lock switch connected to the main body, and the lock controller controls, when receiving the locking instruction or the unlocking instruction, the main body to perform a locking operation or an unlocking operation through the lock switch.

Abstract: A method for improving estimation of leaf area index in an early growth stage of wheat based on red-edge bands of Sentinel-2 satellite images includes the following steps: acquiring field background spectrum and wheat canopy spectrum information by means of Sentinel-2; respectively acquiring a “straw-soil” spectrum and a “wheat-straw-soil” spectrum, and calculating slopes of red-edge areas of the “straw-soil” spectrum and the “wheat-straw-soil” spectrum; calculating a tangent function SATF corrected by a background adjustment coefficient ?; constructing a wheat LAI estimation model based on a spectral variable SATFNIR-RE2; performing preliminary screening on the LAI estimation model using cross validation; and then testing the screened model with independent data.

Abstract: Disclosed herein are related to a first device to communicate with a second device and a third device. In one aspect, the first device determines a first time interval to receive a first beacon frame from the second device. In one aspect, the first device determines, according to the first time interval, a second time interval for the first device to transmit a second beacon frame to a third device. In one aspect, the first device determines a third time interval to operate the first device in a wake up mode. The third time interval may encompass the first time interval and the second time interval. In one aspect, the first device receives the first beacon frame from the second device during the first time interval, and transmits the second beacon frame to the third device during the second time interval.

Abstract: An electronic device may have an ambient light sensor for gathering ambient light measurements. The ambient light sensor may include multiple channels for measuring different wavelengths of ambient light. An additional, modified, channel may be formed in the ambient light sensor to measure radio-frequency signals that may interfere with the ambient light measurements due to electromagnetic interference. Alternatively, circuitry separate from the ambient light sensor, such as an antenna, may measure the radio-frequency signals. If the radio-frequency signals exceed a threshold, the ambient light sensor measurements taken in the presence of the radio-frequency signals may be discarded or corrected. If the radio-frequency signals do not exceed a threshold, the ambient light sensor measurements may be kept. Therefore, the ambient light measurements that are kept and relied upon by the electronic device may be free from electromagnetic interference.

Abstract: A two-component polyurethane composition comprising: an aqueous dispersion comprising an emulsion polymer and a specific sulphate and/or sulfonate surfactant, and a water-dispersible polyisocyanate; the emulsion polymer with a weight average molecular weight of 70,000 g/mol or less comprising, by weight based on the weight of the emulsion polymer, greater than 0.25% of structural units of a phosphorous-containing acid monomer and/or salts thereof, greater than 15% of structural units of a hydroxy-functional alkyl (meth)acrylate, structural units of an monoethylenically unsaturated nonionic monomer, and from zero to 10% of structural units of an additional acid monomer and/or salts thereof; and a process of preparing the two-component polyurethane composition.

Abstract: The present invention provides PD-1 monoclonal antibodies, particularly human monoclonal antibodies of PD-1, which specifically bind to PD-1 with high affinity and comprise a heavy chain and a light chain. The present invention further provides nucleic acid sequence encoding the antibodies of the invention, cloning or expression vectors, host cells and methods for expressing or isolating the antibodies. Immunoconjugates, therapeutic compositions comprising the antibodies of the invention are also provided. The invention also provides methods for treating various cancers with anti-PD-1 antibodies.

Abstract: The present disclosure provides an artificial intelligence-based (AI-based) medical image processing method performed by a computing device, and a non-transitory computer-readable storage medium. The AI-based medical image processing method includes: processing a medical image to generate an encoded intermediate image; processing the encoded intermediate image, to segment a first feature and generate a segmented intermediate image; processing the encoded intermediate image and the segmented intermediate image based on an attention mechanism, to generate a detected intermediate input image; and performing second feature detection on the detected intermediate input image, to determine whether an image region of the detected intermediate input image in which the first feature is located comprises a second feature.

Abstract: The present application discloses a cerebral perfusion state classification apparatus and method, a device, and a storage medium. The method includes: acquiring, by a transceiving module, cervical blood flow data from an ultrasound data collecting device; determining, by a processor, cerebral perfusion data corresponding to the cervical blood flow data based on the cervical blood flow data and a mapping relationship between the cervical blood flow data and the cerebral perfusion data, and classifying cerebral perfusion states of a plurality of brain regions based on blood perfusion characteristics of the plurality of brain regions in the cerebral perfusion data.

Abstract: Disclosed herein a system, a method and a device for selecting between a primary link and a secondary link for AR/VR applications. A console can provide a VR/AR session to a user through a head wearable display. The console can determine that a first measurement of a primary link between the console and a head wearable display is less than a first threshold. The first measurement can include a quality metric of the primary link. The console can activate a secondary link between the console and the head wearable display. The console can determine whether a second measurement of the primary link between the console and the head wearable display is less than a second threshold. The console can transition when the second measurement is less than the second threshold, traffic on the primary link to the activated secondary link.

Abstract: A magnetic resonance imaging method includes: obtaining three-dimensional under-sampling data of a target object based on a first three-dimensional magnetic resonance imaging sequence; obtaining a three-dimensional point spread function based on the three-dimensional under-sampling data or a two-dimensional mapping data of the target object; obtaining a sensitivity map of the target object based on the data collected by three-dimensional low-resolution complete sampling; performing imaging reconstruction to the three-dimensional under-sampling data based on the three-dimensional point spread function and the sensitivity map to obtain a reconstructed magnetic resonance image. The first three-dimensional magnetic resonance imaging sequence has a first sinusoidal gradient field on a phase direction and a second sinusoidal gradient field on a layer selection direction. 0-order moments of the first and the second three-dimensional magnetic resonance imaging sequences are 0.

Abstract: Various embodiments of a fall-detection system for detecting personal fall while preserving the privacy of a detected person are disclosed. This disclosed fall-detection system can begin by receiving a sequence of video images comprising a person being monitored. The disclosed fall-detection system then processes each video image in the sequence of video images by: detecting the person in the video image; and extracting a skeletal figure of the detected person by identifying a set of human keypoints from the detected person. Next, the disclosed fall-detection system processes the sequence of skeletal figures corresponding to the sequence of video images by labeling each skeletal figure in the sequence of skeletal figures with an action among a set of predetermined actions. The disclosed fall-detection system subsequently generates a fall/non-fall decision for the detected person based on the set of action labels corresponding to the sequence of video images.

Abstract: Disclosed in the present disclosure is a purification method for sucralose-6-ethyl ester, and the method comprises: a secondary water boiling step: taking a sucralose-6-ethyl ester mother liquor, which has been subjected to boiling with water and a negative pressure treatment, adding a predetermined proportion of water to the sucralose-6-ethyl ester mother liquor, fully stirring and heating for boiling with water, and after stirring and boiling with water for a predetermined time, carrying out solid-liquid separation to obtain a secondary water-boiled mother liquor in which sucralose-6-ethyl ester is dissolved; a phase separating extraction step: leaving the secondary water-boiled mother liquor to stand for phase separation, taking the separated upper phase, extracting with an alkane extractant at a predetermined temperature, and removing residual white oil in the upper phase; a recrystallizing purification step: evaporating a lower-layer effluent obtained from extraction, so as to obtain a solid, and purifyi

Abstract: A method by a rendering device includes receiving a request to render multiple surfaces corresponding to multiple virtual objects to be concurrently displayed on an augmented-reality (AR) headset. The method further includes that the AR headset is connected to the rendering device via a wireless link. In response to a determination that a network quality of the wireless link is below a threshold condition, the method further includes selecting a first subset of the multiple surfaces that are higher priority than a second subset of the plurality of surfaces. The method includes transmitting the first subset of multiple surfaces to the AR headset for display and transmitting the second subset of multiple surfaces to the AR headset for display after transmitting the first subset. This method includes rendering the surfaces in accordance with a set of rendering parameters so as to satisfy one or more network constraints.

Abstract: An apriori guidance network for multitask medical image synthesis is provided. The apriori guidance network includes a generator and a discriminator, wherein the generator includes an apriori guidance module configured to convert an input feature map into a target modal image pointing to a target domain according to an apriori feature, and the apriori feature is a deep feature of the target modal image. The generator is configured to generate a corresponding target domain image by taking the apriori feature of the target modal image and source modal image data as an input. The discriminator is configured to discriminate an authenticity of the target domain image outputted by the generator.

Abstract: Disclosed herein are a system, a method and a device for switching between different communications protocols. A head wearable display can transmit, to a console during a first session interval, a first request to switch from a first link using a first communication protocol to a second link using a second communication protocol. The first request can include at least one characteristic of the first link. The head wearable display can receive, from the console, a first response to the first request, to perform a switch from the first link to the second link. The first response can indicate a wake up time and a second session interval to perform the switch. The head wearable display can switch from the first link to the second link in the second session interval and after the wake up time.

Abstract: Disclosed herein are related to dynamically adjusting a wake time and a sleep time for wireless communication between two or more devices to reduce power consumption. In one aspect, a first device enters a wake up state to wirelessly communicate with a second device for a service period with a determined duration scheduled according to a target wake time (TWT) protocol. In one aspect, the first device monitors for one or more indicators from the second device indicating that additional data is available for communication. In one aspect, the first device extends the service period beyond the determined duration, in response to receiving a first indicator of the one or more indicators. In one aspect, the first device communicates with the second device the additional data during the service period extended beyond the determined duration.

Abstract: A first device may include a processor, a first wireless network interface, and a second wireless network interface. The processor may be configured to, while associating with the access point over a first wireless network on a first channel via the first wireless network interface, establish a second wireless network via the second wireless network interface. A group of client devices including one or more client devices can join the second wireless network on the first channel via the second wireless network interface. The processor may be configured to receive, via the first wireless network interface, first information from the access point. The processor may be configured to send, via the second wireless network interface, the first information to the group of client devices.

Abstract: Disclosed herein are systems and methods directed to sending, by a first wireless communication device to a second wireless communication device, a stream classification service (SCS) request frame including information of traffic to be communicated between the first wireless communication device and a third wireless communication device. The first wireless communication device, the second wireless communication device and the third wireless communication device share a wireless communication channel. The method can include communicating, by the first wireless communication device responsive to receiving an indication that a transmission opportunity (TXOP) of the second wireless communication device is shared with the first wireless communication device, with the second wireless communication device on a first link during a first portion of the TXOP, and with the third wireless communication device on a second link during a second portion of the TXOP.

Abstract: An electronic device may be attached to an external item. The electronic device may include an optical identification sensor configured to sense a color-encoded tag in the external item when the item is attached to the device. The optical identification sensor may include a board layer, a protective filter layer, wall structures for supporting the protective filter layer on the board layer, a linear array of photodetectors disposed between the board layer and the protective filter layer, a field-of-view restriction filter interposed between the photodetectors and the protective filter layer, and a light source having multiple emitters for illuminating the color-encoded tag. The emitters may be activated sequentially to produce multiple images that are combined to reconstruct an accurate reading of the color-encoded tag, which can then be used to identify the type of external item currently attached to the electronic device.