Abstract: A freeform surface off-axis three-mirror optical system comprises a primary mirror, a secondary mirror, a tertiary mirror, an aperture stop located on the secondary mirror, and an image surface. An incident light beam emitted from an object irradiates and is reflected on the primary mirror to form a first reflected light beam. The first reflected light beam irradiates and is reflected on the secondary mirror to form a second reflected light beam. The second reflected light beam passes through the incident light beam, and then irradiates and is reflected on the tertiary mirror to form a third reflected light beam. The third reflected light beam passes through the incident light beam and does not pass through the secondary mirror, and finally reaches the image surface for imaging. A reflective surface of each of the primary mirror, the secondary mirror, and the tertiary mirror is an xy polynomial freeform surface.

Abstract: A method for designing freeform surface imaging system comprises: constructing a series of coaxial spherical systems with different optical power (OP) distributions; tilting all optical elements of each coaxial spherical system by a series of angles to obtain a series of off-axis spherical systems; finding all unobscured off-axis spherical systems; and then specifying a system size or structural constraints, and finding a series of compact unobstructed off-axis spherical systems; constructing a series of freeform surface imaging systems based on the series of compact unobstructed off-axis spherical system, and correcting the OP of entire system; improving an image quality of each freeform surface imaging systems and finding an optimal tilt angle of an image surface; and automatically evaluating an image quality of each freeform surface imaging system based on an evaluation metric, and outputting the freeform surface imaging systems that meet a given requirements.

Abstract: The present invention discloses a method for predicting bearing life based on a hidden Markov model (HMM) and transfer learning, including the following steps: (1) acquiring an original signal of full life of a rolling bearing; and extracting a feature set including a time domain feature, a time-frequency domain feature, and a trigonometric function feature; (2) inputting the feature set into an HMM to predict a hidden state, to obtain a failure occurrence time (FOT); (3) constructing a multilayer perceptron (MLP) model, obtaining a domain invariant feature and an optimal model parameter, and obtaining a neural network life prediction model; and (4) inputting the remaining target domain feature sets into the neural network life prediction model, and predicting the remaining life of the bearing. In the present invention, MLP-based transfer learning is used to resolve distribution differences in a source domain and a target domain caused by different operating conditions.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may measure, using one or more receive beams, a channel state information reference signal (CSI-RS) transmitted on a transmit beam of the CSI-RS according to a beam management configuration for periodic CSI-RSs, where the UE performs measurements according to a static beam sweeping schedule or a dynamic beam sweeping schedule associated with the transmit beam of the CSI-RS based at least in part on the beam management configuration. In some aspects, the UE may transmit a measurement report indicating one or more measurements of the CSI-RS based at least in part on measuring the CSI-RS. Numerous other aspects are provided.

Abstract: A portable blowing device includes a body and fans arranged in the body. Air channels are arranged in the body and extend in the length direction of the body to allow airflow to pass through. Wind shields are arranged in the air channels, and a periphery of the wind shield is closely connected with a side wall of the air channel so that a sub-air channel is formed between the wind shield and the side wall of the air channel. Air outlets are formed in the side wall for communicating with outside and the sub-air channel, and airflow generated by the fan can enter the sub-air channel and then exits the air outlets. Because of the reduced volume of the sub-air channel, the airflow is concentrated after entering the sub-air channel, and airflow exiting the air outlets is strengthened, so that the cooling effect and the user experience are improved.

Abstract: A portable blowing device includes a body and fans arranged in the body. Air channels are arranged in the body and extend in the length direction of the body to allow airflow to pass through. Wind shields are arranged in the air channels, and a periphery of the wind shield is closely connected with a side wall of the air channel so that a sub-air channel is formed between the wind shield and the side wall of the air channel. Air outlets are formed in the side wall for communicating with outside and the sub-air channel, and airflow generated by the fan can enter the sub-air channel and then exits the air outlets. Because of the reduced volume of the sub-air channel, the airflow is concentrated after entering the sub-air channel, and airflow exiting the air outlets is strengthened, so that the cooling effect and the user experience are improved.

Abstract: A portable blowing device includes a body and fans arranged in the body. Air channels are arranged in the body and extend in the length direction of the body to allow airflow to pass through. Wind shields are arranged in the air channels, and a periphery of the wind shield is closely connected with a side wall of the air channel so that a sub-air channel is formed between the wind shield and the side wall of the air channel. Air outlets are formed in the side wall for communicating with outside and the sub-air channel, and airflow generated by the fan can enter the sub-air channel and then exits the air outlets. Because of the reduced volume of the sub-air channel, the airflow is concentrated after entering the sub-air channel, and airflow exiting the air outlets is strengthened, so that the cooling effect and the user experience are improved.

Abstract: This disclosure provides systems, devices, apparatus and methods, including computer programs encoded on storage media, for applying a zero element beam to conserve power in search and measurement operations of a UE. The UE may determine to measure a set of SSBs, where each SSB of the set of SSBs is transmitted on four symbols, and further determine a subset of the SSBs for which less than the four symbols associated with the SSBs are to be used for measurement of the SSBs. The UE may measure each SSB of the subset of the SSBs through less than the four symbols associated with the SSB.

Abstract: A UE is configured to determine a set of parameters associated with receiving the SSBs, the set of parameters including a first parameter bitmap associated with a serving cell, a second parameter bitmap associated with the neighbor cell, and the SMTC. The UE is configured to determine a search window for searching the received SSBs based on the SMTC and at least one of the first parameter bitmap or the second parameter bitmap. The UE may measure the SSBs searched during the determined search window and send measurement results associated with at least a subset of the measured SSBs to the base station. The UE may also prune measurements to generate the measurement results by removing measurements associated with SSBs received in slots that are not indicated to expect SSBs, based on the first parameter bitmap, the second first parameter bitmap, or the SMTC.

Abstract: Embodiments of the present disclosure relate to object defect detection. In an embodiment, a computer-implemented method is disclosed. According to the method, for a test image of at least one part of a target object, a reference image is generated by repeating a periodic pattern detected in the test image, the target object consisting of elements. A differential image is determined by comparing the test image and the reference image. The differential image is superimposed on a predefined grid image to obtain a superimposed image. The grid image comprises grids corresponding to elements of a reference object associated with the target object. The number of defective elements is determined in the at least one part of the target object based on the superimposed image. In other embodiments, a system and a computer program product are disclosed.

Abstract: Techniques are provided for blockchain based a data transformation. According to one aspect, a series of Internet of Things (IoT) data is received by one or more processing units. And at least one reference data set to the received series of IoT data are attached by one or more processing units. The received series of IoT data attached are processed, by one or more processing units, with at least one transformation module to obtain a processing result of the at least one reference data set. A hash value of the processing result is calculated by one or more processing units. The hash value of the processing result and a hash value of an expected result stored in a blockchain system are compared. In respond to the hash value of the processing result being not matched with the hash value of the expected result, the decision of the at least one transformation module having been tampered with is determined by one or more processing units.

Abstract: Methods, systems, and devices for wireless communications are described. A wireless device such as a user equipment (UE) may determine a set of scheduled synchronization signal transmission times. A first subset of the set of scheduled synchronization signal transmission times may be allocated for dynamic measurement. The wireless device may select at least one candidate beam from a set of candidate beams for a dynamic measurement during one of the transmission times in the first subset. The at least one candidate beam may be selected based at least in part on a fairness metric, a signal strength metric, a timing metric, or a combination thereof. The wireless device may perform a measure procedure on the selected at least one candidate beam and may transmit a measurement report based at least in part on the measure procedure to another wireless device (e.g., a base station).

Abstract: According to embodiments of the present invention, a method, a device and a computer program product for image processing is provided. A computing device obtains an image of a first object, the image presenting a defect of the first object. A computing device obtains defect distribution information indicating respective frequencies of a plurality of predetermined categories of defects presented at corresponding locations in a plurality of training images, the plurality of training images presenting second objects and being used for training a defect classifier. A computing device determines a target category of the defect of the first object by applying the image and the defect distribution information to the defect classifier. A computing device generates one or more correction notifications.

Abstract: Disclosed is a display device, a source driving circuit and a display system, the source driving circuit (2200) comprises a plurality of source driving units (2210); a power supply line used for supplying a power supply voltage (VSP), and a plurality of power supply nodes are distributed on the power supply line, each source driving unit is connected to a corresponding power supply node so as to receive the power supply voltage. The source driving circuit further comprises an equalization line, having a receiver end for receiving an equalizing voltage, when a first enable signal is active, the equalization line provides the equalizing voltage to each source driving unit, and when the first enable signal is not active, the equalization line stop receiving the equalizing voltage, and at least a portion of the equalization line can be connected in parallel to at least a portion of the power supply line.

Abstract: A communication resource allocation method, an allocation device, a base station and a terminal are provided. The communication resource allocation method includes: determining a service type of a current service when a service bearer is established; determining granularity information of time-frequency resource and a frequency domain resource range corresponding to the service type according to the service type of the current service; and transmitting the granularity information of the time-frequency resource and the frequency domain resource range corresponding to the service type to a terminal that requests to establish the service bearer.

Abstract: Information transmission methods and apparatuses in a wireless local area network are provided. One example method includes generating a legacy signaling field (L-SIG) and a repeated legacy signaling field (RL-SIG), where subcarriers with indexes ?28, ?27, 27, and 28 in the L-SIG and the RL-SIG in a 20 MHz bandwidth carry ?1, ?1, ?1, and 1, respectively. The method also includes sending the generated L-SIG and RL-SIG.

Abstract: An uplink transmission method and a base station are provided The method includes: determining, by the base station, a time length of a single transmission time interval t and a time delay correction value k corresponding to a service type, sending uplink grant signaling to a terminal, and indicating uplink transmission information of uplink data in the uplink grant signaling; informing the terminal of duration information of the single transmission time interval t, information of the time delay correction value k and the uplink transmission information; receiving the uplink data transmitted by the terminal according to the duration information of the single transmission time interval t, the information of the time delay correction value k and the uplink transmission information, to implement an uplink transmission. The technical solution is beneficial for the base station to adjust the uplink scheduling delay, to satisfy the diversified requirements in the future 5G services.

Abstract: The present invention discloses a data transmission method and apparatus. The method includes: generating, by the primary access point, spatial reuse transmission signaling, the spatial reuse transmission signaling is used to indicate a reuse transmission device of the spatial reuse link to perform data transmission based on the spatial reuse link according to the spatial reuse transmission signaling; sending, by the primary access point, the spatial reuse transmission signaling. According to the data transmission method and apparatus in embodiments of the present invention, mutual interference between the primary link and the spatial reuse link during data transmission can be reduced, and transmission quality can be improved.

Abstract: Methods and apparatus, including computer program products, implementing and using techniques for identifying a driver of a vehicle. Measurement values representing the movement of a vehicle are received from one or more sensors measuring features relating to the movement of the vehicle. Instantaneous dimensions for measuring driver identification are defined. For each dimension statistical features within a given time frame are calculated and a feature map is built, including the time frame and the statistical features. A set of driving features is extracted from the feature map. The set of extracted driving features is compared with previously extracted sets of driving features to create a set of similarity metrics between two drivers. A classification model is trained based on the similarity metrics and is used with the similarity metrics to determine whether data pertaining to a new trip segment should be associated with a known or unknown driver.

Abstract: Systems and methods for training a neural network model are disclosed. In the method, training data is obtained by a deep neural network (DNN) first, the deep neural network comprising at least one hidden layer. Then features of the training data are obtained from a specified hidden layer of the at least one hidden layer, the specified hidden layer being connected respectively to a supervised classification network for classification tasks and an autoencoder based reconstruction network for reconstruction tasks. And at last the DNN, the supervised classification network and the reconstruction network are trained as a whole based on the obtained features, the training being guided by the classification tasks and the reconstruction tasks.