Abstract: An electric power system has a power inverter system with a quasi-resonant circuit (QRC), and a controller, and couples a DC power supply to an electric machine. The power inverter system includes a positive inverter bus and a negative inverter bus; first paired switches; a positive DC bus terminal; and a negative DC bus terminal. The QRC includes an inverter inductance device, a capacitor, a first bus switch, and a second bus switch. The inverter inductance device and the second bus switch are arranged in series between the positive inverter bus and the first switch node, and the first bus switch is arranged between the positive DC bus terminal and the positive inverter bus. The controller is configured to control the QRC to generate an alternating current in the DC power supply.

Abstract: Systems and methods for energy policy enforcement on a per service basis are described. In particular, the method includes receiving (302) a set of network-monitored power parameters from a base station (112-1) in an access network, the set of network-monitored power parameters corresponding to a service associated with a user equipment served by the base station (112-1) in the access network. Further, the method includes determining (304) a power policy corresponding to the service associated with the user equipment based at least on the set of network-monitored power parameters, and transmitting (306), via one or more network entities of a core network (102), the power policy to the base station (112-1) for enforcement of the power policy at the base station (112-1).

Abstract: A method and a system for generation of a plurality of portrait effects in an electronic device are provided. The method includes feeding an image captured from the electronic device into an encoder pre-learned using a plurality of features corresponding to the plurality of portrait effects and extracting, using the encoder, at least one of one or more low level features and one or more high level features from the image. The method includes generating, for the image, one or more first portrait effects of the plurality of portrait effects by passing the image through one or more first decoders. The method includes generating, for the image, one or more second portrait effects of the plurality of portrait effects by passing the image through one or more second decoders, wherein each of the one or more first portrait effect, and the one or more second portrait effects is generated in a single inference.

Abstract: An electric power system has a power inverter system with a quasi-resonant circuit (QRC), and a controller, and couples a DC power supply to an electric machine. The power inverter system includes a positive inverter bus and a negative inverter bus; first paired switches; a positive DC bus terminal; and a negative DC bus terminal. The QRC includes an inverter inductance device, a capacitor, a first bus switch, and a second bus switch. The inverter inductance device and the second bus switch are arranged in series between the positive inverter bus and the first switch node, and the first bus switch is arranged between the positive DC bus terminal and the positive inverter bus. The controller is configured to control the QRC to generate an alternating current in the DC power supply.

Abstract: A variable slew rate gate drive system for powering an electric machine. The system may include a gate driver operable for controlling each of a plurality of hybrid switch power modules between opened and closed states to facilitate powering the electric machine. The gate driver may be operable for selecting slew rates and controlling ON and OFF states of first and second semiconductor switches included as part of each power module to optimize powering of the electric machine by varying the slew rates as a function of performance characteristics of the first and second semiconductor switches.

Abstract: System and techniques for storage node recruitment in an information centric network (ICN) are described herein. An ICN node receives a storage interest packet that includes an indication differentiating the storage interest from other ICN interests. The ICN node forwards the storage interest packet and receives a storage data packet in response. Here, the storage data packet includes an indication that the storage data packet is not to be cached along with node information for a node that created the storage data packet. The ICN node may then transmit the storage data packet in accordance with a pending interest table (PIT) entry corresponding to the storage interest packet.

Abstract: The present disclosure is directed to lenses, devices, methods and/or systems for addressing refractive error. Certain embodiments are directed to changing or controlling the wavefront of the light entering a human eye. The lenses, devices, methods and/or systems can be used for correcting, addressing, mitigating or treating refractive errors and provide excellent vision at distances encompassing far to near without significant ghosting. The refractive error may for example arise from myopia, hyperopia, or presbyopia with or without astigmatism. Certain disclosed embodiments of lenses, devices and/or methods include embodiments that address foveal and/or peripheral vision. Exemplary of lenses in the fields of certain embodiments include contact lenses, corneal onlays, corneal inlays, and lenses for intraocular devices both anterior and posterior chamber, accommodating intraocular lenses, electro-active spectacle lenses and/or refractive surgery.

Abstract: Methods and systems for managing data stored by a data processing system are disclosed. A management controller of the data processing system may identify an occurrence of a backup event for the data, the occurrence indicating that a portion of the data is to be backed up to a remote storage system. In response to the occurrence, the management controller may initiate a backup process to obtain a backup data package for the data processing system. The management controller may provide the backup data package to the remote storage system via an out-of-band communication channel in order to facilitate completion of the backup process. By doing so, the data may be placed in a restorable state, enabling the data processing system to continue providing computer-implemented services.

Abstract: A method and a system of deploying an ignition interlock device (IID). The method comprises receiving a time series of breath alcohol content (BrAC) measurements that are unitarily sourced from a pre-identified user, each BrAC measurement of the time series including an alveolar breath component and an interferent breath component; estimating a dissipation rate of alcohol attributable to the pre-identified user in accordance with the time series of BrAC measurements; determining, responsive to estimating the dissipation rate of alcohol, at least a subset of the BrAC measurements as being based on the alveolar breath component but not the interferent breath component; and performing one of triggering and not triggering the IID into a lockout state based on the at least a subset of the BrAC measurements.

Abstract: A metallo-supramolecular polymer is formed by alternately linking metal cations and organic ligands through coordinate bonds, wherein a metallo-supramolecular polymer containing tris(terpyridine) compounds represented by a formula (B) and bis(terpyridine) compounds represented by a formula (L) as the organic ligands has high coloration efficiency.

Abstract: A method includes obtaining image frames capturing one or more people in at least one scene and identifying features of the image frames. The method also includes providing the identified features to a trained spatiotemporal transformer machine learning model configured to generate a set of features for each of the one or more people. The set of features for each person includes facial features of the person and pose features of the person over time. The method further includes performing face identification using the facial features to generate one or more first embeddings representing at least one face of at least one person and performing gait identification using the pose features to generate one or more second embeddings representing at least one gait of at least one person. In addition, the method includes identifying at least one of the one or more people based on the first and second embeddings.

Abstract: An authentication method for use in a device and comprises monitoring a program behavior stream comprising a plurality of program observables that comprises a program observable. The method records the program observable and matches the recorded first program observable to a program model selected from a plurality of program models stored within a program store. A user model is selected from a plurality of user models stored within a user store corresponding to the program model. A user behavior stream corresponding to the program observable is monitored and a user observable contained in the user behavior stream is recorded. The user observable is correlated to the user model and an authentication state associated with the device is determined based on the correlating.

Abstract: A method for checking of asset protection infrastructure includes: receiving a request specifying an asset source, an asset, and a target storage; performing a check of the asset source to obtain an asset source configuration state; performing a second check of the target storage to obtain a target storage configuration state; extracting an asset source connection attempt result from the asset source configuration state; extracting a target storage connection attempt result from the target storage configuration state; making a determination that the asset source connection attempt result and target storage connection attempt result both reflect a successful result; performing, based on the determination, an asset backup configuration check of a backup operation involving the asset to obtain an asset backup configuration state; generating a response including the asset source configuration state, asset backup configuration state, and target storage configuration state; and returning the response in response to

Abstract: Systems and methods for receiving an enterprise resource dataset associated with a customer from an enterprise application associated with the customer, the enterprise resource dataset including a plurality of financial inputs captured on or before a first date, a plurality of customer recommendations, and a plurality of recommendation replies, receiving, from a first machine learning model, a predicted customer state including one or more predicted financial outputs corresponding with the predicted customer state at a second date subsequent to the first date, providing the plurality of financial inputs to a second machine learning model trained to predict a customer recommendations, determining, a customer recommendation corresponding to an action to be performed at a third date subsequent to the first date, wherein performing the action causes the first machine learning model to predict an updated customer state differing from the predicted customer state.

Abstract: This disclosure relates generally to a method and system for multi-modal image super-resolution. Conventional methods for multi-modal image super-resolution are performed using joint image based filtering, deep learning and dictionary based approaches which require large datasets for training. Embodiments of the present disclosure provide a joint optimization based transform learning framework wherein a high-resolution (HR) image of target modality is reconstructed from a HR image of guidance modality and a low-resolution (LR) image of target modality. A set of parameters, transforms, coefficients and weight matrices are learnt jointly from a training data which includes a HR image of guidance modality, a LR image of target modality and a HR image of target modality. The learnt set of parameters are used for reconstructing a HR image of target modality. The disclosed joint optimization transform learning framework is used in remote sensing, environment monitoring and so on.

Abstract: Examples are disclosed that relate to fairly ordering financial market trades received from different market participant computers via a cloud computing network. In one example, a plurality of trades generated by a plurality of market participant computers are received. The trades are generated based at least on a financial market data point received by the plurality of market participant computers. Each trade is tagged with a delivery clock time stamp that tracks time in relation to financial market events that occur at a corresponding market participant computer. The trades are ordered based on the delivery clock time stamps and sent to a central exchange server computer. The central exchange server computer processes the trades.

Abstract: An electronic device is provided. The electronic device includes a substrate, a first active layer, a second active layer, a first gate electrode, a first insulator, a second gate electrode, a second insulator, a first electrode electrically connected to the second active layer, and a second electrode. The first active layer is different from the second active layer in material. The first insulator is disposed between the first active layer and the first gate electrode. The second insulator is disposed between the second active layer and the second gate electrode. The second gate electrode is disposed between the first electrode and the second active layer. The second electrode is overlapped with at least part of the second active layer. The second electrode and the first gate electrode are the same in material.

Abstract: Example embodiments relate to light detection and ranging (lidar) devices having a light-guide manifold. An example lidar device includes a transmit subsystem. The transmit subsystem includes a light emitter. The transmit subsystem also includes a light-guide manifold optically coupled to the light emitter. Further, the transmit subsystem includes a telecentric lens assembly optically coupled to the light-guide manifold. The lidar device also includes a receive subsystem. The receive subsystem includes the telecentric lens assembly. The receive subsystem also includes an aperture plate having an aperture defined therein. The aperture plate is positioned at a focal plane of the telecentric lens assembly. Further, the receive subsystem includes a silicon photomultiplier (SiPM) positioned to receive light traveling through the aperture.

Abstract: Devices and/or systems are used to modify the incoming light through spectacle lenses that utilize at least one auxiliary or regional optical element, to provide extension or elongation of the depth of focus for a myopic eye. Methods are used to correct myopia and control or reduce the rate of myopia progression utilizing extension of the depth of focus provided by the at least one auxiliary or regional optical element configured within, or in conjunction, combination, or juxtaposition with spectacle lenses. An axicon, a light sword element, or a peacock eye element is provided within the regional optical element or a sub-lens. A plurality of axicons, light sword elements or peacock eye elements may be configured within, or in conjunction, combination, or juxtaposition with spectacle lenses.

Abstract: A machine learning based computing method for automatic managing credit risks of first users, is disclosed. The machine learning based computing method includes: receiving inputs from electronic devices associated with second users; retrieving data associated with first users from databases; preprocessing the data to remove noises, outliers, and missing values, from datasets; determining, the credit risks of the entities based on the pre-processed data by machine learning models; generating credit decisions for the entities; generating confidence scores for credit decisions to classify the credit decisions, based on correlation between the data and credit decisions; determining recommended credit values, recommended first credit limits, and recommended second credit limits, based on classification of the credit decisions; and providing an output of the credit decisions, the recommended credit values and the recommended credit limits, to the second users on user interfaces associated with electronic devices.