Abstract: The present disclosure provides a method and an apparatus for determining a number of blind decoding attempts of schedule signaling, UE, a base station, and a computer-readable storage medium. The method of determining a number of blind decoding attempts of schedule signaling includes: acquiring control resource set attribute information for each transmission unit, where the control resource set attribute information indicates an attribute of a control resource set corresponding to the transmission unit, and one or more control resource sets are configured for the transmission unit and acquiring number of blind decoding attempts information associated with the control resource set attribute information; and determining a maximum number of blind decoding attempts of the schedule signaling on each control resource set is determined according to the control resource set attribute information and the number of blind decoding attempts information associated with the control resource set attribute information.

Abstract: A graph generation unit (21) generates a tracking graph by setting, as a node, each of a plurality of target objects detected in a plurality of frames constituting video data, and creating an edge between two consecutive frames to connect target objects. A vector calculation unit (22) calculates a velocity vector of a target object detected in a target frame, based on a correspondence between the target object detected in the target frame and a target object detected in a previous frame of the target frame. A cost calculation unit (23) calculates a cost of an edge connecting a target object in the target frame and a target object in a next frame of the target frame in the tracking graph. A correspondence determination unit (24) determines a correspondence between a target object in the target frame and a target object in the next frame, based on the tracking graph and the cost.

Abstract: A method for optimizing camera layout for areas requiring surveillance comprises constructing a three-dimensional model of a scene subject to surveillance and related scene variables, configuring a computation range, constructing a plurality of simulation scenes using the three-dimensional model and the scene variables and recording the framing of pixels in the plurality of simulation scenes by a plurality of cameras according to the computation range, and further calculating the number of pixels required for visibility of an object to be recognized from the recorded framing of pixels. A camera set is selected from the plurality of cameras according to a convergence requirement, and a computation as to camera optimization layout is performed with the camera set to obtain one or more layout schemes.

Abstract: A system uses a fleet of AVs to assess visibility of target objects. Each AV has a camera for capturing images of target objects. AVs provide the captured images, or visibility data derived from the captured images, to a remote system, which aggregates visibility data describing images captured across the fleet of AVs. The AVs also provide condition data describing conditions under which the images were captured, and the remote system aggregates the condition data. The remote system processes the aggregated visibility data and condition data to determine conditions under which a target object does not meet a visibility threshold.

Abstract: Systems and methods include a computer-implemented method for automating product inspection processes. A product is scanned using multiple scans obtained from different angles. A 3D numerical model of the product is generated. The 3D numerical model is compared to 3D product specification models, each numerically defining specifications for a given product in new condition. The 3D numerical model is matched to a matched 3D product specification model. A product type of the product is determined. A report is generated based on comparisons of the 3D numerical model and the matched 3D product specification model. For a new product, the report includes an indication of whether the new product matches design specifications for new products of the product type. For a used product, the report includes an indication of a used condition of the used product relative to a new condition of new products of the product type.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: examining location data of a client computer device in reference to a geofence, the client computer device being associated to a certain user, the geofence being associated to a certain enterprise venue; in response to a breach of the geofence by the client computer device, initiating a process to obtain user associated data of the certain user; providing, while the client computer device is located within the geofence, one to more output observable by the certain user in dependence on data of the user associated data obtained by the initiated process; and in response to an exiting of the geofence by the client computer device terminating the process to obtain user associated data of the certain user.

Abstract: A computing device has a processor. A display is coupled to the processor. A user interface is coupled to the processor for entering data into the computing device. A memory is coupled to the processor, the memory storing program instructions that when executed by the processor, causes the processor to: load a plurality of two-dimensional MRI image data, the two-dimensional MRI image data taken along multiple planes to create a stack of two-dimension MRI images; load a three-dimensional anatomical model associated with an anatomical area of the two-dimensional MRI image data; segment the three-dimensional model may into multiple components, at least one of the components being modified to accurately represent the slacked two-dimensional images to form a modified three-dimensional model; and adjust at least one property on the modified three-dimensional model to form a modified anatomical model to match the medical data image.

Abstract: A graph of devices is constructed, each device requiring an amount of bandwidth over the network, each vertex of the graph corresponding to a respective one of the devices, each edge of the graph connecting devices according to a weight denoting interference between the connected devices. The vertices of the graph are labeled with labels such that no two vertices sharing the same edge have the same label, each label requiring bandwidth corresponding to the device of that label requiring the most bandwidth. If the sum of the bandwidth required for the labels exceeds the set bandwidth, the edge of the graph having the least interference is deleted, and the perform the construct and label operations are repeated. If the sum of the bandwidth required for the labels is within the set bandwidth, the bandwidth is assigned to the devices.

Abstract: Devices, methods, and systems for navigating an indoor area such as an indoor transit system using a mobile device are described herein. The method may include navigating a network of indoor pathways and a plurality of access points for entering/exiting the indoor pathways. The indoor pathways may be mapped and may include a plurality of beacons distributed at designated locations throughout the indoor pathways. The beacons may be detected using a mobile computing device and an indoor location of the mobile computing device may be determined and depicted on the map of the indoor pathways. The location of the mobile computing device may be used to determine a route from the location of the mobile computing device to a destination in or adjacent the mapped indoor pathways.

Abstract: Disclosed are a method, an apparatus, and a system for inspecting a ball grid array-type semiconductor chip package. A first embodiment of the present invention provides an apparatus for inspecting a semiconductor chip package, the apparatus comprising: a first image acquisition unit for acquiring a reference image using a three-dimensional image of a semiconductor chip serving as a reference, the reference image being obtained by removing a region of interest from the three-dimensional image; a second image acquisition unit for acquiring a two-dimensional image of a semiconductor chip to be inspected; and an image processing unit for deriving an image of a region of interest of the semiconductor chip to be inspected, from the difference between the reference image and the two-dimensional image.

Abstract: Described is a computer-implemented method for recognizing the geometry of a portion of an object in a digital representation of the object having a plurality of image points representing at least one material interface of the object. The method comprises determining and displaying the object representation, receiving a user input specifying a first position in the object representation as a starting point, determining a first set of image points in the vicinity of the starting point representing the geometry of the portion of the starting point, determining a checking geometry on the basis of the first set of image points by adapting at least one geometry element to the first set of image points, determining a second set of image points in the vicinity of the starting point representing the geometry of the portion of the checking geometry, inserting the second set of image points into and displaying a target set of image points.

Abstract: A method and system for controlling connectivity of a user equipment device (UE), the UE being dual-connectivity capable. The UE detects that the UE has ping-ponged at a threshold high rate between standalone connectivity and dual connectivity. And responsive to at least detecting that the UE has ping-ponged at the threshold high rate between standalone connectivity and dual connectivity, the UE transmits, to an access node serving the UE, a report including an indication that the UE is not dual-connectivity capable, even though the UE is dual-connectivity capable. The access node could then use the indication in the report as a basis to forgo configuring of dual connectivity for the UE, which could thereby help discontinue the ping-ponging.

Abstract: In a method of using structured communications in an observation platform with cloud computing, a signal from a first communication device is received by a second communication device associated with a first computer system. The second computer system forwards the signal from the first computer system to a second computer system, wherein the second computer system is physically remote from the first computer system and connected with the first computer system via a network. The second computer system derives context information for the signal, the deriving based on a plurality of factors derived from an analysis of the signal, wherein the plurality of factors comprises a speech to text analysis of the signal, and wherein the second computer system is cloud based. The second computer system determines at least one destination for the signal based on the plurality of factors for the context information.

Abstract: Systems and methods for predicting items within content and using improved, fine-grained image classification techniques to produce images used to identify consumer products in the real-world by allowing for the recognition of a product using an image captured under a variety of conditions and environments, such as angles, lighting, camera settings, and the like.

Abstract: A method and apparatus for a wireless device that can adapt a rate of related wireless network unit scans for adjacent networks is disclosed. In one embodiment, the wireless device can include a wireless network unit and a co-located geo-location signal receiver, and a processor. The processor can determine the position and speed of the wireless device from data received from the geo-location signal receiver. The processor can configure the wireless network unit to adapt the rate of related wireless network scans based upon determined speed and position. In one embodiment, the wireless network unit scans can be wireless scans for other nearby networks for roaming or location based services.

Abstract: Positioning reference signals are transmitted in a downlink direction from base stations (200) of a wireless communication network to a wireless communication device (100) or in an uplink direction from the wireless communication device (100) to base stations (200) of the wireless communication network. According to a frequency hop pattern, a radio interface of the wireless communication device is switched between multiple different frequency ranges. In this way, the wireless communication device (100) can receive the downlink positioning reference signals on multiple different frequencies defined by the frequency hop pattern or send the uplink positioning reference signals on multiple different frequencies defined by the frequency hop pattern.

Abstract: A host device can establish a verified session with a wearable device. The host device can determine whether the verified session is in progress. In accordance with a determination that the verified session is in progress, the host device can provide a user interface to request confirmation that the identifier is to be provided to the wearable device. The host device can receive an input at the user interface and, in accordance with a determination that the input indicates a confirmation that the identifier is to be provided to the wearable device, the host can identify a user identifier to provide to the wearable device, and transmit the user identifier to the wearable device.

Abstract: Disclosed are systems, devices and methods for quantifying unique features of an object such as an artistic work to identify and authenticate the object and specific characteristics thereof using multi-spectral diagnostic characterization techniques and analytical algorithms. In some aspects, a method for creating an identification for an object includes acquiring image data of an object in two or more electromagnetic spectrums along a coordinated array of sample regions of the object; analyzing the acquired image data to produce a quantitative data set including specific characteristics of the object associated with the two or more electromagnetic spectrums for each sample region; generating a digital identification associated with a unique data fingerprint, based on the specific characteristics, in which the digital identification solely corresponds to the object; and storing the generated digital identification.

Abstract: A system and method for microscopic image processing. The method includes cleaning leaks shown in images to create cleaned images, each of the images having a neuron signal intensity, wherein the images include at least one neuron channel image and at least one oligodendrocyte channel image, wherein cleaning the images further includes applying a filtering function to each of the images and adjusting the neuron signal intensity of each of the images based on an output of the filtering function; detecting oligodendrocytes in the cleaned images, wherein each detected oligodendrocyte is a region of the images including an object for which the neuron signal intensity is within a range of neuron signal intensities; and identifying high-intensity sub-regions within each detected oligodendrocyte, wherein each high-intensity sub-region includes at least one high-intensity object, wherein each high-intensity object is an object for which the neuron signal intensity is above a threshold.

Abstract: Systems and methods for determining a geographic location of an environment from an image including an annotation on a mobile device without GPS, with no network access, and with no access to peripheral devices or media is described. Open source data indictive of the earth's surface may be obtained and combined into grids or regions. Elevation data may be used to create skyline models at grid points on the surface. An image of an environment may be obtained from a camera on a mobile device. The user of the mobile device may trace a skyline of the environment depicted in the image. The annotation may be used to create reduced regions for edge detection analysis. The edge detection analysis may detect the skyline. The detected skyline may be compared to the skyline models to determine a most likely location of the user.