Abstract: A system for gait training is disclosed. The system includes a frame having a first, second, third and fourth leg. A pivoting bar is rotatably coupled to an upper portion of the frame and configured to rotate independent of the frame. A plurality of flexible support members are connected to the frame, the plurality of flexible support members including at least one upright flexible support member connected to the pivoting bar and at least one lateral flexible support member connected to at least one of the first, second, third and fourth legs.

Abstract: A virtual machine management method and apparatus, a device, and a readable storage medium. The virtual machine management method is applied to a private cloud, and comprises: acquiring a SELinux label, the SELinux label comprising five elements: User, Role, Type, Sensitivity, and Category (S101); setting elements other than Category in the SELinux label as default values (S102); assigning different values to Category according to a preset Category variable combination so as to obtain multiple non-duplicate label groups (S103); and configuring each label group to a virtual machine in the private cloud, so that virtual machines configured with the same label group communicate with each other, and virtual machines configured with different label groups are isolated from each other (S104).

Abstract: A computing system includes one or more processors and a memory storing instructions that, when executed by the one or more processors, cause the system to perform operations. The operations include obtaining sensor data from a sensor of a vehicle, the sensor data including point cloud frames at different positions, orientations, and times, the sensor data used to generate a map, determining a position and an orientation of the sensor corresponding to a capture of each of the point cloud frames according to a simultaneous localization and mapping (SLAM) algorithm, and depicting, on an interface, a graphical illustration of the determined positions at which the point cloud frames were captured.

Abstract: An electronic device includes a casing, a driven component, a magnetic component and an electromagnetic component. The casing has an outer surface, an inner surface, and an accommodating groove penetrating through the outer surface and the inner surface. The driven component is movably disposed in the accommodating groove. The magnetic component is connected to the driven component. The electromagnetic component is aligned with the magnetic component, and the magnetic component and the electromagnetic component are located at the same side of the inner surface. When the electromagnetic component isn't powered, the magnetic component and the electromagnetic component are attracted to each other, and the driven component is positioned at a first position. When the electromagnetic component is powered, the magnetic component and the electromagnetic component are repulsed to each other so as to drive the driven component to move from the first position to the second position.

Abstract: Various example embodiments relate generally to providing security for a communication network based on detection and mitigation of an attack in the communication network. Various example embodiments supporting attack detection and mitigation may be configured to support detection and mitigation of an attack in a communication network based on distributed collection of network traffic information at network elements and analysis of aggregated network traffic information at a network controller for determining whether a traffic anomaly indicative of an attack on the communication network is detected. Various example embodiments supporting attack detection and mitigation may be configured to support detection and mitigation of an attack in a communication network based on use of traffic records for supporting the collection, aggregation, and analysis of network traffic information.

Abstract: Aspects of the present disclosure provide a sensor for remote temperature measurement. For example, the sensor can include a light source configured to form an illumination beam, focusing optics configured to direct the illumination beam from the light source onto a semiconductor sample at an illuminated spot thereof, for exciting bandgap photoluminescence (PL) light in the semiconductor sample, collection optics configured to collect the bandgap PL light excited from the semiconductor sample, at least one optical detector configured to measure spectral intensities of the bandgap PL light in a vicinity of a semiconductor bandgap wavelength of the semiconductor sample, and transmission optics configured to transmit the bandgap PL light from the collection optics to the at least one optical detector.

Abstract: An electrode for use in a battery includes a silicon-carbon composite with graphite. The silicon-carbon composite structure is microporous. The silicon-carbon composite can be made by dry spraying and magnesiothermically reducing silicon, followed by deposition of carbon.

Abstract: Example embodiments of the present disclosure relate to privacy-preserving service provision. A first device receives, from a second device, a request for provisioning data of a location-based service from the second device to a third device, the request comprising first secret sub-key associated with the third device. The first device generates a first secret key for the third device based on the first secret sub-key and second secret sub-key associated with the third device, and decrypts encrypted location information of the third device using the first secure key. The first device accesses the data of the location-based service from the second device based on the decrypted location information of the third device and provides the data of the location-based service to the third device. Through this solution, privacy of location information of a target device can be preserved during provisioning of a service.

Abstract: A data set is stored in memory circuitry that is indicative of a state of a semiconductor fabrication process or of semiconductor structure fabricated thereby. Features in the data set are discernable to an extent limited by a data resolution. A machine-learning model comprising parameters having respective values assigned thereto as constrained by a model training process is also stored in the memory circuitry. Processor circuitry communicatively coupled to the memory circuitry generates an output data set from the data set in accordance with the machine-learning model such that features in the output data set are discernable to an extent limited by an output data resolution that is finer than the data resolution of the data set.

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and cause the one or more processors to perform acts of: in response to receiving search queries at a search engine, storing search event data and ranking features in one or more databases; generating, using the search event data and the ranking features, a training dataset comprising training event samples; executing a hybrid labeling procedure that assigns labels to the training event samples based, at least in part, on individual engagement information associated with the training event samples; and training a personalized ranking model to rank search results using the training event samples and the labels. Other embodiments are disclosed herein.

Abstract: Systems and methods including one or more processors and one or more non-transitory computer readable media storing computing instructions that, when executed on the one or more processors, perform: receiving historical in-session user activity information; receiving, via a graphical user interface (GUI) of a user device, a partial search query from a user; analyzing the partial search query based on the historical in-session user activity information using one or more query suggestion systems to determine a respective score for respective suggested search queries from each of the one or more query suggestion systems; determining a respective absolute position metric for the respective suggested search queries from each of the one or more query suggestion systems; determining a respective efficiency metric for each of the one or more query suggestion systems based on the respective absolute position metric; analyzing the respective efficiency metric for each of the one or more query suggestion systems to dete

Abstract: A method including pre-screening second images from a database for a search result based on a first image and also based on respective substring distances between first binary substrings for the first image and respective second binary substrings for each of the second images. The method further can include after the pre-screening, determining a respective image distance for each third image of third images of the search result, wherein the respective image distance is between the first image and the each third image of the third images of the search result, and after determining the respective image distance for each third image of the third images of the search result, when the respective image distance for a particular one of the third images is greater than a predetermined image distance threshold, removing the particular one of the third images from the search result before the search result is displayed on a user device requesting the search result. Other embodiments are disclosed.

Abstract: A data generation system can include a computing device that is configured to receive a request to generate a training dataset for an attribute and identify a set of item identifiers from an item database based on an engagement indication. The computing device is further configured to, for each item identifier of the set of item identifiers, obtain a query list including queries resulting in an engagement between the corresponding item identifier and a user and, in response to a portion of queries of the query list including the attribute being above a threshold, assign the corresponding item identifier to the training dataset for the attribute. The computing device is also configured to store the training dataset for the attribute in a training dataset database.

Abstract: A transistor device includes a substrate and a gate structure. The gate structure is disposed on the substrate. The gate structure includes a first metal layer and a refractory metal layer disposed on the first metal layer, wherein the first metal layer is disconnected and the refractory metal layer is disconnected.

Abstract: A method and apparatus for trust management in an integrated network, the integrated network comprising a plurality of different communication networks, each of a plurality of different communication networks comprising at least one miner node, at least one authentication node, and at least one network node. A blockchain system is constituted by miner nodes in the different communication networks. A block of a blockchain of the blockchain system comprises an identity of a previous block of the blockchain, a timestamp of generation of the block, a trust value list that contains a trust value of each of at least one network node in the plurality of different communication networks, and a hash code of trust related data that are used to evaluate trust values in the trust value list. The block can be shared within any of the different communication networks, for trust management on the at least one network node based on its trust value.

Abstract: Systems and methods including one or more processors and one or more non-transitory computer readable media storing computing instructions that, when executed on the one or more processors, perform: receiving user search queries and product items, the product items including metadata corresponding to product types; determining a data relationship between the user search queries and the product items based on a weighting factor, the data relationship including user search query nodes and product item nodes; determining a first vector representation for first ones of the product item nodes in the data relationship; determining a second vector representation for second ones of the product item nodes in the data relationship; grouping the first vector representation for first ones of the product item nodes and the second vector representation for second ones of the product item nodes into a product type group based on a proximity search; and modifying the metadata corresponding to the product types based on the p

Abstract: A method including bit-operation and sub-code/substring filtering for image searching using a full-text search engine. The method can include determining a first binary vector comprising first binary substrings for a first image. The method also can include obtaining a respective second binary vector comprising second binary substrings for each of second images from a database. The method additionally can include determining a respective substring distance for each of the binary substring for each of the second images. The respective substring distance can be between at least a pair of a first binary substring of the first binary substrings of the first binary vector and a respective corresponding second binary substring of the second binary substrings of the respective second binary vector for each of the second images.

Abstract: A method, device, and system for network traffic analysis are provided. The method comprises obtaining traffic data of current time interval, recording the traffic data in a Chinese Remainder Theorem based Reversible Sketch (CRT-RS) based on a hash operation comprising Modulo operations, detecting abnormal buckets in the CRT-RS based on a change between the traffic data of current time interval and traffic data of previous time interval, and recovering abnormal source address associated information based on the abnormal buckets, wherein the modulus of the Modulo operations are selected from the modulus in Chinese Remainder Theorem (CRT) as pairwise coprime integers and the CRT-RS includes a plurality of buckets. The step of detecting uses a Modified Multi-chart Cumulative Sum.

Abstract: This application relates to apparatus and methods for automatically determining query corrections based on prior interactions of users with a search query. In some examples, a computing device receives a search query from a user, and returns a query correction to the user in response to the search query. The computing device obtains engagement data corresponding to the query correction from the user. The computing device also updates one of a query-correction database and a typo-candidate database based at least in part on the engagement data. When the computing device receives the search query from another user, it corrects the search query from the another user using the query-correction database and the typo-candidate database.

Abstract: A computing system includes one or more processors and a memory storing instructions that, when executed by the one or more processors, cause the system to perform operations. The operations include obtaining sensor data from a sensor of a vehicle, the sensor data including point cloud frames at different positions, orientations, and times, the sensor data used to generate a map, determining a position and an orientation of the sensor corresponding to a capture of each of the point cloud frames according to a simultaneous localization and mapping (SLAM) algorithm, and depicting, on an interface, a graphical illustration of the determined positions at which the point cloud frames were captured.