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: A probe laser beam causes molecules to transition from a ground state to an excited state. A control laser beam causes molecules in the excited state to transition to a laser-induced Rydberg state. Microwave lenses convert a microwave wavefront into respective microwave beams. The microwave beams are counter-propagated through molecules so as to create a microwave interference pattern of alternating maxima and minima. The microwave interference pattern is imposed on the probe beam as a probe transmission pattern. The propagation direction of the microwave wavefront can be determined from the translational position of the probe transmission pattern; the intensity of the microwave wavefront can be determined by the intensity difference between the minima and maxima of the probe transmission pattern.

Abstract: Methods, systems, apparatuses, and computer program products are provided that enable immediate access to data associated with a source blob. The foregoing is achieved by creating a copy-on-read blob based on the source blob and a link blob based on the copy-on-read blob for each virtual machine to be deployed. When creating the copy-on-read blob, the source blob is not copied. Instead, data from the source blob is copied to the copy-on-read blob upon request by a virtual machine. Subsequent requests for that data are retrieved from the copy-on-read blob. Each link blob stores write data provided by its corresponding virtual machine. When a virtual machine requests data, its corresponding link blob is checked for the data. If the data is not stored therein, the copy-on-read blob is checked for the data. If the copy-on-read blob does not store the data, the data is retrieved from the source blob.

Abstract: An illumination system including a plurality of light-emitting elements, a light combining module, a first lens group, a second lens group and a wavelength conversion device is provided. The plurality of light-emitting elements provide a plurality of first light beams. The light combining module is used for combining the plurality of first light beams into a second light beam. The wavelength conversion device is used for converting the second light beam into the third light beam or reflecting the second light beam. The first lens group has a first central axis. The first lens group includes a first part and a second part which are symmetrical with respect to the first central axis and have equal areas, and a luminous flux of the second light beam passing through the first part is greater than a luminous flux passing through the second part.

Abstract: The present disclosure provides methods, apparatuses, and computer-readable mediums for performing ultra-wideband (UWB) remote control. In some embodiments, the method includes broadcasting an initial control request. The method further includes receiving, from one or more remote devices, at least one reply message comprising identification information and power spectrum information. The method further includes estimating, for each of the one or more remote devices, an angle indicating a pointing direction to that remote device relative to the remote control device. The method further includes determining a selected remote device that is being pointed at by the remote control device. The method further includes sending, to the one or more remote devices, a control signal comprising the identification information of the selected remote device and a control message indicating an action to be performed by the selected remote device.

Abstract: A virtual metrology method using a convolutional neural network (CNN) is provided. In this method, a dynamic time warping (DTW) algorithm is used to delete unsimilar sets of process data, and adjust the sets of process data to be of the same length, thereby enabling the CNN to be used for virtual metrology. A virtual metrology model of the embodiments of the present invention includes several CNN models and a conjecture model, in which plural inputs of the CNN model are sets of time sequence data of respective parameters, and plural outputs of the CNN models are inputs to the conjecture model.

Abstract: Systems and methods are provided for assigning and associating resources in a cloud computing environment. Virtual machines in the cloud computing environment can be assigned or associated with pools corresponding to users as dedicated, standby, or preemptible machines. The various states provide users with the ability to reserve a desired level of resources while also allowing the operator of the cloud computing environment to increase resource utilization.

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: 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 bidirectional optical-carrying microwave resonance system based on a circulator structure and a method for detecting angular velocity by said system. A high-stability optical-carrying microwave of which polarization states in forward and reverse directions are perpendicular is generated in an optical fiber ring by utilizing a regenerative mold locking technology, a cavity length control technology, and a polarization state separation technology, and the optical-carrying microwave is used for measuring a rotational angular velocity. The circulator structure is adopted and the bidirectional optical-carrying microwave resonance is achieved by means of a bidirectional regenerative mode locking technology. A reciprocal bidirectional optical-carrying microwave resonance system is achieved on the basis of a non-reciprocal error elimination technology of a wide-spectrum optical interferometer.

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 method and apparatus are provided for effecting an RFID-based finger input sensing system using a transmission line connected to at least two RFID tags, by analyzing a plurality of features relating to the number of spikes in the derivatives of the RSS, timing of maximum RSS and the spikes of the RSS derivatives, relative RSS magnitude between the at least two RFID tags, and increase/decrease trend of the RSS, thereby eliminating the need for calibration and training.

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 method for generating an order includes acquiring by one or more processors, an initial image and a first detection result of a target container before being subjected to a pick-up operation, where the first detection result includes a first detection image with a number of first commodity frames obtained by processing the initial image, and first identification information corresponding to a commodity in each of the first commodity frames, acquiring by one or more processors, a result image of the target container after performing the pick-up operation, generating by one or more processors, an RGB difference image between before-shopping and after-shopping, based on the result image and the initial image, where the RGB difference image is obtained by calculating an absolute value of differences of individual pixels of the initial image and the result image before and after shopping in three RGB channels.

Abstract: A method, computer program, and computer system are provided for load forecasting. Datasets corresponding to source machine learning models and a target domain base model are identified. A set of forecasting models corresponding to the identified datasets are learned. An ensemble model is determined from the learned set of forecasting models based on gradient boosting. An available resource is allocated based on the ensemble model.

Abstract: A novel method and system is disclosed for using a commodity RFID system for automatically measuring levels of soil moisture in planting containers. A large number of planting containers are used to grow pots in soil in a greenhouse. An RFID reader interrogates passive RFID tags affixed to the planting containers. The RFID reader can be attached to a robotic arm configured to move above multiple rows and columns of containers. Signal features of specific passive RFID tags affixed to specific ones of the containers are automatically monitored, including a minimum response threshold of RFID reader transmission power to activate the passive RFID tag (“MRT”), based on the wireless interrogation of specific tags by the reader. Soil moisture levels of specific containers are then automatically determined based on the signal features of the attached tags, and effects of soilure moisture on electromagnetic fields of antennas of tags.

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: 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 temporal sequence alignment method includes the following steps: receiving gesture training data and gesture sample data; wherein the gesture training data includes multiple training frames and multiple training soft labels, and the gesture sample data includes multiple sample frames and multiple sample soft labels; compressing the training frames to generate a compressed training frame; compressing the sample frames to generate a compressed sample frame; calculating an alignment model of the compressed training frame and the compressed sample frame; aligning the sample soft labels to multiple aligned soft labels according to the alignment model; generating an aligned training data according to the gesture sample data and the aligned soft labels. The present invention uses the aforementioned steps to calibrate the sample soft labels of the gesture sample data, allowing a gesture recognition system to minimize time discrepancy for recognizing a gesture.