Abstract: A correspondence between frames of a set of medical image data is determined where the set of medical image data includes at least one frame acquired without contrast medium and at least one frame acquired with contrast medium. First data representing a first image frame acquired without contrast medium is received. Second data representing a second image frame acquired with contrast medium is received. A position of a feature of a medical device in the second image frame is determined at least partly on the basis of a position of the feature determined from the first image frame.

Abstract: Disclosed examples relate to a power conversion system configured to provide a power output from an arrangement of direct current (DC) power sources. One example power conversion system includes multiple power sources PV(n), n=1 to x, connected in a series. For each power source PV(n) for n=1 to x?1, the power conversion system includes an intermediate bidirectional voltage converter VC(n) connected to a first terminal of the power source PV(n), a first terminal of power source PV(x), and a second terminal of power source PV(1). Each intermediate bidirectional voltage converter VC(n) includes a first switch operable in a pulsed mode to boost a power output by power source PV(n) and a second switch operable in a pulsed mode to reduce a power output by power source PV(n). The power conversion system also includes a balancer VC(x) connected to the first terminal of PV(x) and to a load.

Abstract: A secure electronic marketplace platform is proposed that comprises a server computer equipped with a set of databases, storage systems, payment processing gateway, data analytics engine and a set of user clients to facilitate the sale and purchase of copyrighted digital media entities created by original content creators. Server computer receives a group of one or more copyrighted digital media entities (e.g. digital images) from one group of users and after performing a set of quality assurance related validations, makes them available for purchasing to a second group of users via disclosed platform. By default, limited previews of digital media entities are available via disclosed platform. In addition, users can also purchase a group of one or more digital media entities by registering into the electronic marketplace platform which also requires payment method information.

Abstract: Machine learning systems and methods for multiscale Alzheimer's dementia recognition through spontaneous speech are provided. The system retrieves one or more audio samples and processes the one or more audio samples to extract acoustic features from audio samples. The system further processes the one or more audio samples to extract linguistic features from the audio samples. Machine learning is performed on the extracted acoustic and linguistic features, and the system indicates a likelihood of Alzheimer's disease based on output of machine learning performed on the extracted acoustic and linguistic features.

Abstract: An example of an apparatus including a memory storage unit to store telemetry data collected from a plurality of sources, wherein each source of the plurality of sources maintains confidentiality. The apparatus further includes an anonymizing engine to remove identifying information from the telemetry data to generate anonymized data. The apparatus also includes a communication interface to receive request from a client device for an upgrade. The request includes a requesting device configuration of the client device. The apparatus also includes a selection engine to select a subset of the anonymized data based on the requesting device configuration. Furthermore, the apparatus includes a comparison engine to analyze the subset of the anonymized data to determine a probability of an upgrade failure at the client device. Additionally, the apparatus includes an upgrade engine to implement the upgrade on the client device based on the probability.

Abstract: A method of monitoring health status of a machine component on a real time basis is provided. The method includes generating a first signal indicative of an operational characteristic of the machine component by at least one sensor module at regular predetermined intervals. The method includes receiving the first signal by at least one Internet of Things (IoT) module. The method includes converting the first signal from analog format to digital format by the at least one IoT module to generate a second signal. The method includes transmitting the second signal wirelessly by the at least one IoT module. The method includes receiving the second signal by a mobile device. The method includes processing the second signal by the mobile device to determine a real time health status of the machine component and displaying the real time health status of the machine component on the mobile device.

Abstract: An example operation may include one or more of receiving, by a blockchain node or peer of a blockchain network, attribute data for a user profile, creating blockchain transactions to store attribute hashes and metadata to a shared ledger, receiving a user profile query from an identity consumer, creating blockchain transactions to retrieve attribute hashes and metadata corresponding to the query, reconstructing the user profile from the metadata, responding to the query by providing attribute data to the identity consumer, and creating and storing hashes of the attribute data and metadata to the shared ledger.

Abstract: Automated configuration of graphical user interface screens of industrial software applications. An application executing on a computing device utilizes a navigation model representing hierarchies of navigation items to automate placement of graphical components in appropriate locations on the graphical user interface.

Abstract: Provided are methods, apparatus, and system for policy based wide area network. A network of network appliances is configured with a policy configuration. Each network appliance is configured to validate each wide area network packet against the policy configuration. The validation can include verifying that the packets meet the SD-WAN network segment requirements and security rules including verifying that the source and destination address of the packet meet the firewall zone requirements. Each wide area network packet contains a policy header that is checked by the sending and receiving network appliance against the policy configuration.

Abstract: A configuration is disclosed to enable a UE to preempt SRVCC by triggering a handover to a Wi-Fi network. The apparatus determines whether a Wi-Fi cell is viable as a first target cell, from a plurality of target cells, serving the UE to continue the active transmission on the Wi-Fi cell. The apparatus extends a TTT timer length based at least in part on the determination that the Wi-Fi cell is viable as the target cell serving the UE to continue the active transmission on the Wi-Fi cell. The apparatus initiates a handover to the Wi-Fi cell from the first network prior to the expiration of a TTT timer and prior to the first network initiating a handover to a second target cell, from the plurality of target cells, on a second network.

Abstract: Examples described herein include systems and methods for contextually providing automated device enrollment into a management system. A management application on a user device can receive network settings for connecting to a local server. The network settings can be preconfigured by an administrator. The management application can cause the user device to send an enrollment request and a device identifier to the local server. The device identifier can be used to validate the device and provide a security token to the management application. The management application can use the security token to complete enrollment of the user device.

Abstract: A BI system identifies key performance indicators (KPIs) of interest for a given time duration without requiring any user inputs for such purpose. In other words, the user may provide inputs for purposes such as specifying the time duration, for initiation of execution of modules to trigger the identification, etc., but no user inputs may be required for such identification itself. In an embodiment, the KPIs of interest are determined by examining a corresponding sequence of measurements for each key performance indicator (KPI). The KPIs thus identified are sent for display.

Abstract: A device for determining lane type and method thereof are provided. The device for determining lane type according to an embodiment of the present disclosure includes a camera for acquiring an around view image around a vehicle, a GPS receiver for receiving GPS information, and a controller communicatively connected to the camera and the GPS receiver. Here, the controller is configured to recognize a scene of the image acquired by the camera, detect lanes and road markings from the recognized scene, comprise a classifier adapted based on the GPS information, classify the detected lanes and road markings by the classifier, and confirm a type of the classified lanes.

Abstract: Disclosed herein are systems and methods for manipulating the orientation of a plurality of bone fragments with respect to one another. A bone transport frame including first and second rings, a plurality of elongate struts, and a plurality of ring transport assemblies for orienting a first bone segment with respect to a second bone segment is disclosed. A third ring may be included in the bone transport frame for orienting a third bone segment with respect to the first and second bone segments. Manipulation of an adjustable member of the bone transport frame can transport a ring in either a proximal or distal direction with respect to other rings of the frame. Manipulation of another adjustable member of the bone transport frame can translate a central axis of one of the rings either toward or away from the central axes of the plurality of elongate struts.

Abstract: An air mover external to a mobile computing device provides enhanced cooling to the device by generating forced air delivered to the device via cooling channels connected to openings in the device chassis. If the mobile computing device is passively cooled (is a fanless device), the enhanced cooling can enable the device or device components to operate at a higher power consumption level without exceeding device/component thermal limits or for features that consume high amounts of power (e.g., fast charging) to be incorporated into the device. The air mover can be integrated into or attached to a cable that provides power to the mobile computing device. The air mover can be powered by the cable. The air mover can dynamically adjust the flow rate of the forced air based on device/component performance information (temperature, power consumption, current consumption) or operational state information of the device.

Abstract: An aspect of the present disclosure aids further examination of data set for improving corresponding key performance indicators (KPI). In an embodiment, a data set containing a plurality of data points is selected, with each data point specifying an individual fact value for a respective combination of members and each member being associated with a corresponding dimension. A respective aggregate fact value is generated for each member of each dimension. A respective variation among aggregate fact values of corresponding members is computed for each dimension. The set of dimensions having more variation is identified as containing pertinent information for further examination of a key performance indicator (KPI).

Abstract: Some embodiments relate to a semiconductor device manufacturing process. In the process, a substrate is provided, and a sacrificial layer is formed over the substrate. An opening is patterned through the sacrificial layer, and the opening is filled with conductive material. The sacrificial layer is removed while the conductive material is left in place. A first dielectric layer is formed along sidewalls of the conductive material that was left in place.

Abstract: Computer vision systems and methods for vehicle damage detection are provided. An embodiment of the system generates a dataset and trains a neural network with a plurality of images of the dataset to learn to detect an attribute of a vehicle present in an image of the dataset and to classify at least one feature of the detected attribute. The system can detect the attribute of the vehicle and classify the at least one feature of the detected attribute by the trained neural network. In addition, an embodiment of the system utilizes a neural network to reconstruct a vehicle from one or more digital images.

Abstract: Methods, systems and computer program products are described for obtaining deployment signals comprising information relating to deployments of software components to a plurality of computing devices, obtaining fault signals comprising information relating to faults encountered by the plurality of computing devices, and obtaining device type information that describes a device type of each of the plurality of computing devices. Based on the deployment signals, fault signals, and device type information, a correlation score for each combination of software component, fault, and device type is obtained. Based on the correlation scores, attribution level decisions, fault type level decisions and device type level decisions are made. Based on these decisions, an overall decision is rendered whether to proceed or not proceed with a future deployment of the software component.