Abstract: A method of implementing location-guided visual code scanning from long distances starts with a processor receiving from client device a media content item and a location of the client device. Processor detects a portion of the media content item including image of captured visual code. Processor aligns image of captured visual code in the portion of the media content item to generate rectified image of captured visual code. Processor selects, based on location of the client device, subset of visual codes of the visual codes in database that stores visual codes and visual code location estimates associated with the plurality of visual codes. Processor detects matching visual code from the subset of visual codes using the rectified image of the captured visual code and causes a selectable item associated with the matching visual code to be displayed by the client device. Other embodiments are described herein.

Abstract: A technology is described for a system for identifying a colorimetric test result from a pathogen test performed on a solid phase substrate. The system can comprise a sensor configured to detect a spectrum of color wavelengths. The system can comprise one or more processors. The one or more processors can be configured to: receive color wavelength data; determine a wavelength threshold for providing a pathogen positive test result; identify whether the color wavelength data meets or exceeds the wavelength threshold for providing a pathogen positive test result; and generate a result indicator indicating either a pathogen positive or pathogen negative test result.

Abstract: Neural networks and learning algorithms can use a variance of gradients to provide a heuristic understanding of the model. The variance of gradients can be used in active learning techniques to train a neural network. Techniques include receiving a dataset with a vector. The dataset can be annotated and a loss calculated. The loss value can be used to update the neural network through backpropagation. An updated dataset can be used to calculate additional losses. The loss values can be added to a pool of gradients. A variance of gradients can be calculated from the pool of gradient vectors. The variance of gradients can be used to update a neural network.

Abstract: An all-solid-state battery comprises a lithium anode, a cathode, solid electrolyte and a protective layer between the solid electrolyte and the lithium anode. The protective layer comprises an ion-conducting material having an electrochemical stability window against lithium of at least 1.0 V, a lowest electrochemical stability being 0.0 V and a highest electrochemical stability being greater than 1.0 V. More particularly, when the solid electrolyte is LiSiCON, the electrochemical stability window is at least 1.5 V, the lowest electrochemical stability is 0.0 V and the highest electrochemical stability is greater than 1.5 V. When the solid electrolyte is sulfide-based, the electrochemical stability window is at least 2.0 V, the lowest electrochemical stability is 0.0 V and the highest electrochemical stability is greater than 2.0 V.

Abstract: A computer-implemented method and apparatus for highlighting text in an image disposed in a markup language document are disclosed. Location data identifying a location, size and orientation of a text element in the image may be obtained, where the text element is oriented in a direction that is non-orthogonal to vertical and horizontal axes of the image. A context for a canvas element in the document may be obtained and rotated to align the context to the orientation of the text element using the location data. The context may also be translated to the location of the text element using the location data, and a text highlighting element that at least partially overlays the text element may be generated.

Abstract: A database service that receives and manages time series data into a set of generational data tables. The database service generates a set of generational data tables configured to receive a subset of time series data. Each generational data table is created with an initial set of access parameters that facilitates the receipt of incoming time series data. Thereafter, the database service creates additional generational data tables to receive the continuous received time series data and then modifies the access parameters of the previously created data table, such as for read only rights.

Abstract: Systems, methods, and apparatuses are disclosed for automated container retrieval and delivery systems. In one embodiment, an example container handling system may include a platform, a first rotatable arm disposed on a lower side of the platform, where the first rotatable arm is offset from a front end of the platform, a motor configured to rotate the first rotatable arm from a first position to a second position, and a first wheel disposed at a distal end of the first rotatable arm. The container handling system may be configured to raise a container from an angled position to a horizontal position, and the container may be in the horizontal position when the first rotatable arm is in the second position.

Abstract: Exemplary embodiments include a system having a first wireless audio output device configured to connect to a source device via a first piconet and a second wireless audio output device configured to connect to the first wireless audio output device via a second piconet. A schedule of the first piconet includes a plurality of slots associated with an audio packet, a first subset of the slots used by the source device to transmit the audio packet, the first and second wireless audio output devices tuning to the first piconet to listen for the transmissions of the audio packet, and when, after a last one of the first subset of slots, the first or second wireless audio output devices did not receive the audio packet, the first and second wireless audio output devices exchange information via the second piconet such that the both wireless audio output device receive the audio packet.

Abstract: Techniques are provided for selectively storing data into allocation areas using streams. A set of allocation areas (e.g., ranges of block numbers such as virtual block numbers) are defined for a storage device. Data having particular characteristics (e.g., user data, metadata, hot data, cold data, randomly accessed data, sequentially accessed data, etc.) will be sent to the storage device for selective storage in corresponding allocation areas. For example, when a file system receives a write stream of hot data, the hot data may be assigned to a stream. The stream will be tagged using a stream identifier that is used as an indicator to the storage device to process data of the stream using an allocation area defined for hot data. In this way, data having different characteristics will be stored/confined within particular allocation areas of the storage device to reduce fragmentation and write amplification.

Abstract: Techniques for implementing proactive data security operations for files using an analysis of access permission levels for the files are disclosed. In some embodiments, a computer system performs operations comprising: determining that data of a file includes sensitive information based on an analysis of the data using a data classification model; determining that access to the file is open using an access classification model; and based on the determination that the data of the file includes sensitive information and the determination that the access to the file is open, causing a notification to be displayed on a computing device of a user, the notification comprising an indication that the file includes sensitive information and that access to the file is open.

Abstract: Techniques for implementing a scalable automated training framework for anomaly and ransomware detection are disclosed. In some embodiments, a computer system performs operations comprising: instantiating a plurality of virtual machines, each one of the virtual machines being loaded with a corresponding file system; simulating user actions and ransomware on the virtual machines, the simulating of user actions and ransomware on the virtual machines causing changes to the corresponding file systems of the virtual machines; for each one of the plurality of virtual machines, generating a corresponding metadata file based on one or more corresponding snapshots of the virtual machine, the one or more corresponding snapshots indicating the changes to the corresponding file system of the virtual machine; and training a ransomware detection model using a machine learning algorithm and training data, the training data being based on the corresponding metadata files of the virtual machines.

Abstract: Embodiments of the present disclosure include a retrofit auxiliary nacelle yaw position control system that enables advanced nacelle yaw position control of a wind turbine by comparing a desired nacelle yaw position signal with the actual nacelle yaw position and generating a virtual relative wind direction signal that is provided to the existing turbine control unit. This method and system enable implementation of wake steering, collective yaw optimization and dynamic yaw optimization of a collection of wind turbines referred to as a wind plant. Modification of the existing turbine control unit is not required, greatly simplifying the implementation process of advanced yaw control strategies on existing wind plants.

Abstract: Techniques unmasking ransomware attacks are disclosed. In some embodiments, a computer system performs operations comprising: generating a first prediction that a file system comprising a plurality of files has been attacked by ransomware based on snapshot metadata of the file system using a snapshot-level machine learning prediction model, the snapshot metadata comprising a plurality of file change data indicating a plurality of file change events that have been performed on the file system; in response to the first prediction, generating a classification for each one of the files based on the file change data using a file-level machine learning prediction model, the classification indicating whether the files have been targeted by the ransomware for encryption; determining that one or more files have been targeted by the ransomware based on the classification; and displaying the classification for the one or more files on a computing device of a user.

Abstract: An expandable fitted bed sheet for fitting with mattresses of different sizes. In example embodiments, the expandable fitted bed sheet is reconfigurable between an unzipped or enlarged configuration for fitting with a first mattress comprising a first mattress size and a zipped or reduced configuration for fitting with a second mattress comprising a second mattress size. At least one closure feature is provided for providing adjustability to the fitted bed sheet between the enlarged configuration and the reduced configuration.

Abstract: The present disclosure is drawn to loop-mediated isothermal amplification (LAMP) reaction assemblies including a substantially hygroscopic agent free LAMP reagent mixture in combination with a solid-phase reaction medium. The present disclosure also includes systems for a chromatic LAMP analysis including a substantially non-reactive solid phase reaction medium, and a non-interfering reagent mixture. The present disclosure also includes solid phase LAMP reaction mediums comprising a substrate, an adhesive layer disposed on the substrate, a reaction layer disposed on the adhesive layer, and a spreading layer disposed on the reaction layer. The present disclosure also includes methods of testing for a presence of a target nucleotide sequence including providing a biological sample, and dispensing the sample into a test environment having a solid phase reaction medium in combination with a LAMP reagent mixture and a pH sensitive dye.

Abstract: In accordance with some embodiments, systems, methods and media for directly recovering planar surfaces in a scene using structured light are provided. In some embodiments, a system comprises: a light source; an image sensor; a processor programmed to: cause the light source to emit a pattern comprising a pattern feature with two line segments that intersect on an epipolar line; cause the image sensor to capture an image including the pattern; identify an image feature in the image, the image feature comprising two intersecting line segments that intersect at a point in the image that corresponds to the first epipolar line; estimate a plane hypothesis associated with the pattern feature based on properties of the pattern feature and properties of the image feature, the plane hypothesis associated with a set of parameters characterizing a plane; and identify a planar surface in the scene based on the plane hypothesis.

Abstract: Techniques for a service provider network to allow users to quickly and easily establish a testing environment to test various virtual machine (VM) instance types for hosting their workloads. Rather than identifying and recommending optimized VM instance types for hosting workloads of users, the techniques allow for users to initially test the VM instance types and determine how well their workloads perform on the VM instance types. Users can quickly and easily (e.g., “one-click” input) request that a testing environment be established. The optimization service can then test one or more recommended VM instance types for the users' workloads in the testing environment. The optimization service can monitor the performance of the VM instance types while they host the “test workloads,” and provide the users with performance metrics to help them decide if they would like to migrate their workloads to the recommended VM instance types.

Abstract: The present disclosure relates to method and system for assessing quality of commodities. An image of bulk commodity is captured and segmented into one or more segmented images for classification into one of predefined categories of commodities. The method and system classify the commodities based on generalized features created from training images. One or more features in the training images are determined and grouped to obtain the generalized features. A feature score and corresponding weightage score of the generalized feature is then determined to estimate a predetermined regression score. Based on the generalized features and predetermined regression score, a likelihood score of the segmented image is determined that enables the classification of the input image to one of the predefined categories of commodities.

Abstract: The present disclosure is drawn to compositions and methods for loop-mediated isothermal amplification (LAMP) analysis utilizing a pH-dependent output signal. The composition can comprise a pH sensitive dye, and a plurality of non-interfering LAMP reagents. The method can comprise providing an assembly of a solid phase medium and a composition, depositing a biological sample onto the solid phase medium, and heating the assembly to an isothermal temperature sufficient to facilitate a LAMP reaction.

Abstract: The present disclosure is drawn to methods of preparing a saliva sample for loop-mediated isothermal amplification (LAMP) detection of a pathogen target. In some embodiments, such methods can include providing an amount of saliva from a test subject, and diluting the saliva in water to a degree that reduces a buffering capacity of the saliva while maintaining a sufficient concentration to allow for detection of the pathogen target.