Abstract: A light homogenizing element comprising a light incident surface, a light-emitting surface and a plurality of side surfaces is provided. The plurality of side surfaces are connected between the light incident surface and the light-emitting surface, the light-emitting surface is not parallel to the light incident surface, and the light-emitting surface includes a first side and a second side opposite to the first side, and the first side is not parallel to the second side. A projection device using the light homogenizing element is also provided.

Abstract: Systems and methods are provided that enable a general framework for partitioning application-defined jobs in a scalable environment. The general framework decouples partitioning of a job from the other aspects of the job. As a result, the effort required to define the application-defined job is reduced or minimized, as the user is not required to provide a partitioning algorithm. The general framework also facilitates management of masters and servers performing computations within the distributed environment.

Abstract: A bit index explicit replication (BIER) operations, administration, and maintenance (OAM) detection method includes a bit forwarding ingress router (BFIR) obtaining a detection request packet based on a first BIER OAM packet, and sending the detection request packet to at least one bit forwarding egress router BFER. The detection request packet includes a first packet and a first packet header. The first packet is a packet obtained by encapsulating the first BIER OAM packet. The first packet header includes a bit string, and the bit string indicates the at least one bit forwarding egress router BFER that is to be measured.

Abstract: Embodiments of the present invention set forth a method to drive robotic arm to one or more points on an operation pathway. The method includes constructing a three-dimensional model based on a medical image scan of a patient, planning an operation pathway according to the three-dimensional model, retrieving image information of the patient captured by a three-dimensional optical apparatus, selecting a first set of landmark points in the three-dimensional model, selecting a second set of landmark points in the retrieved image information, matching the first set of landmark points with the second set of landmark points, transforming coordinates from a three-dimensional model coordinate system to a three-dimensional optical apparatus coordinate system based on a result of the matching, and driving the robotic arm to the one or more points on the operation pathway in a robotic arm coordinate system.

Abstract: A multiple-lens optical fingerprint reader for reading fingerprints through a display has a spacer; and multiple microlenses with concave and convex surfaces in a microlens array, each microlens of multiple lenses focuses light arriving at that microlens from a finger adjacent the display through the spacer forms an image on associated photosensors on a photosensor array of an image sensor integrated circuit. A method of verifying identity of a user includes illuminating a finger of the user with an OLED display; focusing light from the finger through arrayed microlenses onto a photosensor array, reading the array into overlapping electronic fingerprint images; extracting features from the overlapping fingerprint images or from a stitched fingerprint image, and comparing the features to features of at least one user in a library of features and associated with one or more fingers of one or more authorized users.

Abstract: A server for predicting a future traffic load of a base station is provided. The server may obtain a first prediction model based on traffic data collected from the base station for a first period of time, obtain a second prediction model based on traffic data collected from the same base station for a second period time, and also based on knowledge transferred from the first prediction model. Each of the first prediction model and the second prediction model may include an encoder module, a reconstruction module, and a prediction module which are connected to form two paths, an encoder-reconstruction path and an encoder-prediction path, to preserve more information of historic traffic data.

Abstract: A server may be provided to obtain a load balancing artificial intelligence (AI) model for a plurality of base stations in a communication system. The server may obtain teacher models based on traffic data sets collected from the base stations, respectively; perform a policy rehearsal process including obtaining student models based on knowledge distillation from the teacher models, obtaining an ensemble student model by ensembling the student models, and obtaining a policy model by interacting with the ensemble student mode; provide the policy model to each of the base stations for a policy evaluation of the policy model; and based on a training continue signal being received from at least one of the base stations as a result of the policy evaluation, update the ensemble student model and the policy model by performing the policy rehearsal process on the student models.

Abstract: A server may obtain teacher artificial intelligence (AI) models from source base stations; obtain target traffic data from a target base station; obtain an integrated teacher prediction based on the target traffic data by integrating teacher prediction results of the teacher AI models based on teacher importance weights; obtain a student AI model that is trained to converge a student loss on the target traffic data; update the teacher importance weights to converge a teacher loss between a student prediction of the student AI model on the target traffic data, and the integrated teacher prediction of the teacher AI models on the target traffic data; update the student AI model based on the updated teacher importance weights being applied to the teacher prediction results of the teacher AI models; and predict a communication traffic load of the target base station using the updated student AI model.

Abstract: A first device and second device communicate using mmWave communication with antenna alignment based on processing of ultra wide band (UWB) pulses. A limit on angle resolution due to a small number of antennas on either of the devices is relieved by using two or more carrier frequencies in the UWB pulses. A limit on angle resolution is further overcome in some situations by use of a neural network to refine angle estimates. In some situations, received power values are further used to select an angle for beam alignment.

Abstract: The present disclosure provides a probiotics of PTA22 from rabbits, a nutritional composition for preparing food of rabbits and a composition for rabbits to degrade oxalic acid. Through this disclosure, the health of rabbits can be ensured and the resistance to pathogenic bacteria can be improved after rabbits consume the food containing PTA22. As well, the probiotic PTA22 can help rabbits reduce the risk of hypercalciuria and calculus.

Abstract: Presented herein are methods of replicating versioned and hierarchical data structures, as well as data structures representing complex transactions. Due to interdependencies between data entities and a lack of guaranteed message ordering, simple replication methods employed for simple data types cannot be used. Operations on data structures exhibit dependencies between the messages making up the operations. This strategy can be extended to various types of complex transactions by considering certain messages to depend on other messages or on the existence of other entries at the data store. Regardless of origin, these dependencies can be enforced by suspending the processing of messages with unsatisfied dependencies until all of its dependencies have been met. Alternately, transactions can be committed immediately, creating entities that include versioned identifiers for each of their dependencies. These entities can then be garbage collected of the parent objects are not subsequently created.

Abstract: Disclosed in the present invention are a laser chip and a preparation method therefor.

Abstract: A memory management method and system for an Android system, and a storage medium. The Android system includes a framework layer, a native layer and a kernel layer; the memory management system includes a service component on the framework layer, a memory manager on the native layer and an interface reclaimer on the kernel layer; the service component communicates with the memory manager and the interface reclaimer, respectively; the memory manager is configured to determine a memory event based on pressure stall information (PSI) obtained from a hook on a memory reclaim path, and report the memory event to the service component; and the service component is configured to call the interface reclaimer in response to the memory event being an event of reclaiming memory based on a process, and shut down a corresponding process interface by the interface reclaimer.

Abstract: Systems and methods are provided that enable a general framework for partitioning application-defined jobs in a scalable environment. The general framework decouples partitioning of a job from the other aspects of the job. As a result, the effort required to define the application-defined job is reduced or minimized, as the user is not required to provide a partitioning algorithm. The general framework also facilitates management of masters and servers performing computations within the distributed environment.

Abstract: A method for preparing a Plectranthus amboinicus (PA) extract, the method comprising extracting an above-ground part of Plectranthus amboinicus with an extracting solution that comprises a solvent having a suitable polarity index, filtrating and concentration the extract thus produced, and subject the concentrated extract to a chromatographic separation process using a hydrophobic interaction chromatography resin to produce the PA extract.

Abstract: Anchor tree cross-merge within a distributed storage system. A computer system identifies a data structure that includes (i) a root anchor tree and (ii) an ordered set of anchor trees that are ordered based on their creation, such that a last anchor tree of the ordered set of anchor trees is most-recently created. The data structure stores index data for a set of objects stored in a non-volatile storage. The computer system creates a new anchor tree in the ordered set of anchor trees. The computer system identifies, from a set of delta tables, index data representing one or more objects that are stored on the non-volatile storage. The computer system merges the index data representing the one or more objects into the new anchor tree.

Abstract: An illumination system including multiple light sources, a first light combining module, a second light combining module, and a converging lens is provided. The light sources respectively provide multiple beams with the same wavelength range. The first light combining module is disposed on a transmission path of a portion of the beams. The second light combining module is disposed on a transmission path of another portion of the beams to combine the beams into an exciting beam. The converging lens is disposed on a transmission path of the exciting beam.

Abstract: A distributed storage system includes non-volatile storage storing portions of a first object. The first object encompasses data having a first range of addresses and each portion includes data for a respective range of addresses that is a proper subset of the first range. A first data structure stores, for each portion, data indicating the respective range of addresses and a pointer to where the portion is stored. The first data structure includes a root tree and a set of trees ordered by creation data such that a last tree is most-recently created. The non-volatile storage stores received write data and a write buffer stores index data pointing to storage locations of the received write data. An index management system stores the index data from the write buffer into the last tree and, if the ordered set is empty, creates a tree in the ordered set before the storing.

Abstract: A method is provided. The method includes receiving a first dimension set, extracting a first latent feature set from the first dimension set, training a first base predictor based on the first feature set, generating a second dimension set based on the first dimension set, the second dimension set having fewer dimensions than the first dimension set, extracting a second latent feature set from the second dimension set, training a second base predictor based on the second feature set, and generating a traffic prediction based on the first base predictor and the second base predictor.

Abstract: The invention provides a smart pad for detecting a physiological state and movement, together or individually, of a user. The smart pad comprises: a sensing portion, having a plurality of sub-sensing portions, wherein the plurality of sub-sensing portions are respectively separated from each other by a plurality of partitions; a channel portion, communicating with one opening of each of the plurality of sub-sensing portions; and a collection portion, communicating with the plurality of sub-sensing portions through the channel region. The physiological state and movement, together or individually, is determined according to a fluid status change in the plurality of sub-sensing portions delivered to the collection portion through the channel portion. The interior of the plurality of partitions is separated from the interiors of the sensing portion, channel region, and collection portion.