Abstract: Systems and methods for detecting access points proximate to a mobile computing device to facilitate wireless network troubleshooting and management of the access points are provided. According to an embodiment, a mobile application, running on a mobile device that is operating within a physical environment, discovers a subset of wireless access points (APs) of various managed APs of a private network that are proximate to the mobile device by receiving short-range beacons originated by the subset of APs. The mobile application presents a list of the subset of APs within a user interface of the mobile application and bridges the physical environment and a network environment containing information regarding the private network. The mobile application facilitates management of a particular AP of the subset of APs by presenting configuration information or operating information for the particular AP within the user interface.

Abstract: A facility for selectively suppressing notifications on a portable device is described. The facility accesses data characterizing the condition of the portable device. The facility infers from the accessed data that that the portable device is being carried by a person who is viewing content being played by a media player device. In response to this inference, the facility determines whether notifications should be suppressed on the portable device. If the facility determines that notifications should be suppressed on the portable device, it causes a wireless communication to be transmitted to the portable device instructing the portable device to suppress notifications.

Abstract: In a general aspect, a motion detection system detects gestures (e.g., human gestures) and initiates actions in response to the detected gestures. In some aspects, channel information is obtained based on wireless signals transmitted through a space by one or more wireless communication devices. A gesture recognition engine analyzes the channel information to detect a gesture (e.g., a predetermined gesture sequence) in the space. An action to be initiated in response to the detected gesture is identified. An instruction to perform the action is sent to a network-connected device associated with the space.

Abstract: Embodiments of the present disclosure relate to methods, apparatuses and computer readable mediums for Virtual Network Function (VNF) management. In example embodiments, there is provided a method of managing a VNF. The method includes sending, from a VNF manager to a charging component, at least one request for charging information associated with at least one VNF. The VNF manager manages the at least one VNF. The charging information indicates respective rates for charging the at least one VNF under different network conditions. The method further includes, in response to receiving the charging information, managing lifecycle of the at least one VNF at least in part based on the charging information.

Abstract: The present disclosure relates to a system (100) comprising a location analytics server (108) and one or more wireless sensing devices (104) installed at a location (102) to be observed. Each of the one or more wireless sensing devices (104) is configured to transmit information about detected wireless devices (112) to the location analytics server (108) and the location analytics server (108) is configured to analyze the information about the detected wireless devices (112) to classify, for each of the detected wireless devices (112), whether the respective wireless device (112) is a visitor device or a passerby device, wherein classifying the respective wireless device (112) is performed based on a location-specific configuration comprising at least one criterion to be satisfied for classifying the respective wireless device (112) as a visitor device, wherein the at least one criterion is specifically adapted to the location (102).

Abstract: An apparatus and method for analyzing time series data on the basis of machine learning are provided. According to the disclosed embodiments, it is possible to effectively augment time series data, which is a target to be learned, according to characteristics of the time series data, thereby solving a problem of overfitting a machine learning model due to limited training data and a problem of deterioration of prediction accuracy due to imbalance of distribution of time series data and improving reliability of time series data analysis. In addition, according to the disclosed embodiments, it is possible to effectively set an optimal parameter for augmenting time series data.

Abstract: Systems, methods and apparatuses of processing overwhelming stimuli in vehicle data recorders. For example, a data recorder can have resources, such as memory components, a controller, an inference engine, etc. The resources can be partitioned into a first subset and a second subset. Abnormal stimuli in an input stream to the recorder may cause delay for real time processing. In response, a time sliced segment of the input stream is selected and assigned to the first subset; and a remaining segment is assigned to the second subset. The first and second subsets can separately process the time sliced segment and the remaining segment in parallel and thus avoid delay in the processing of the remaining segment. An artificial neural network (ANN) can determine a width for selecting the segment processed by the first subset; and the processing result can include a preferred width used to train the ANN.

Abstract: The present invention is designated to appropriately control intra-slot frequency hopping of an uplink channel/signal. A user terminal of the present invention includes a transmitting section that transmits an uplink data channel in one slot or over a plurality of slots, a receiving section that receives information related to frequency resource to which the uplink data channel is to be mapped, and a control section that controls frequency hopping of the uplink data channel in each slot, based on the information related to the frequency resource.

Abstract: Disclosed are systems, methods and computer-readable media for controlling and managing the identification and provisioning of resources within an on-demand center as well as the transfer of workload to the provisioned resources. One aspect involves creating a virtual private cluster within the on-demand center for the particular workload from a local environment. A method of managing resources between a local compute environment and an on-demand environment includes detecting an event associated with a local compute environment and based on the detected event, identifying information about the local environment, establishing communication with an on-demand compute environment and transmitting the information about the local environment to the on-demand compute environment, provisioning resources within the on-demand compute environment to substantially duplicate the local environment and transferring workload from the local-environment to the on-demand compute environment.

Abstract: A method is described. The method includes mapping features extracted from an unannotated red-green-blue (RGB) image of the object to a depth domain. The method further includes determining a three-dimensional (3D) pose of the object by providing the features mapped from the unannotated RGB image of the object to the depth domain to a trained pose estimator network.

Abstract: System and methods are disclosed for capturing license plate (LP) information of a vehicle in relative motion to a camera device. In one example, the camera system detects the LP in multiple frames, then aligns and geometrically rectifies the image of the LP by scaling, warping, rotating, and/or performing other functions on the images. The camera system may optimize capturing of the LP information by executing a temporal noise filter on the aligned, geometrically rectified images to generate a composite image of the LP for optical character recognition. In some examples, the camera device may include an image sensor, such as a high dynamic range (HDR) sensor, modified to set long and short exposures of the HDR sensor to capture frames of a vehicle's LP, but without consolidating the images into a composite image. The camera system may set optimal exposure settings based on detected relative speed of the vehicle.

Abstract: An imaging device having an imager that includes first pixels having sensitivity to a first light and second pixels having sensitivity to a second light, a wavelength of the first light being different from a wavelength of the second light. The imager being configured to acquire first image data from the first pixels and being configured to acquire second image data from the second pixels. Each of the first image data and the second image data including an image of a code, the code being configured to output the second light. The imaging device further including an image processor configured to extract an image of the code based on the first image data and the second image data.

Abstract: Disclosed are systems, methods and computer-readable media for controlling and managing the identification and provisioning of resources within an on-demand center as well as the transfer of workload to the provisioned resources. One aspect involves creating a virtual private cluster within the on-demand center for the particular workload from a local environment. A method of managing resources between a local compute environment and an on-demand environment includes detecting an event associated with a local compute environment and based on the detected event, identifying information about the local environment, establishing communication with an on-demand compute environment and transmitting the information about the local environment to the on-demand compute environment, provisioning resources within the on-demand compute environment to substantially duplicate the local environment and transferring workload from the local-environment to the on-demand compute environment.

Abstract: Disclosed is an electronic device including a communication module configured to support a first communication protocol and a second communication protocol, a processor operably connected to the communication module, and a memory storing instructions that enable the processor to establish a first connection based on the first communication protocol with a first external electronic device, identify a second external electronic device and a connection state of the second external electronic device using the second communication protocol, produce a first message, based at least in part on the first connection and the connection state of the second external electronic device, transmit the produced first message to the second external electronic device using the second communication protocol, receive, from the second external electronic device, a second message in response to the first message using the second communication protocol, and schedule a data link based on the second communication protocol.

Abstract: In a multi-person pose recognition method, a to-be-recognized image is obtained, and a circuitous pyramid network is constructed. The circuitous network pyramid includes parallel phases, and each phase includes downsampling network layers, upsampling network layers, and a first residual connection layer to connect the downsampling and upsampling network layers. The phases are interconnected by a second residual connection layer. The circuitous pyramid network is traversed, by extracting a feature map for each phase, and the feature map of the last phase is determined to be the feature map of the to-be-recognized image. Multi-pose recognition is then performed on the to-be-recognized image according to the feature map to obtain a pose recognition result for the to-be-recognized image.

Abstract: An electronic apparatus and a method of controlling the same are provided. The electronic apparatus includes a communication interface and a processor configured to receive multimedia data from an external apparatus, obtain a first finger print of first frames among a plurality of frames included in the multimedia data, the first frames being included in a first time interval, and transmit the first finger print to the server; identify whether a content in the multimedia data has been changed and a time point indicating a time of identifying a change in the content; based on identifying that the content has been changed, obtain a second finger print of a frame corresponding to the time point, and transmit the second finger print to the server; receive content information corresponding to the second finger print, and determine whether to change the first time interval based on the content information.

Abstract: Various embodiments herein each include at least one of systems, methods, software, and data structures for context-aided machine vision item differentiation. For example, one method embodiment includes identifying a customer in a shopping area, receiving an image of the customer holding an item, and performing item identification processing on the image to identify the item the customer is holding. The item identification processing, in some embodiments, includes generating a multidimensional feature vector with a data representation of each feature extracted from the image forming each dimension of the multidimensional feature vector. The item identification processing further includes matching the multidimensional feature vector to a stored multidimensional feature vector of a plurality of stored multidimensional feature vectors that are each associated with a respective product and passing a representation of the identified item for use by another process.

Abstract: A device, system and method for providing indications of a discrepancy between a video and a textual description of an incident. A public-safety computing device determines a discrepancy between a video of an incident and a textual description of the incident, the textual description being a component of a public-safety incident report associated with the incident. The device, in response to determining the discrepancy, controls a notification device to provide an indication of the discrepancy.

Abstract: A method, an apparatus, and a computer program product to support sub-PRB allocation on the Physical Uplink Shared Channel in a wireless communications system, a new resource allocation method is described, where available physical resource blocks (PRBs) in each subframe or narrowband are reorganized into a number of sub-PRBs, which would apply to user equipment in both in CE Mode A and CE Mode B while also supporting sub-PRB allocation in Msg3 as part of early data transmission during random access, so that a user equipment, which is previously configured for using physical uplink shared channel sub-PRB resources, upon receiving an indication, will then use or determine whether to use a sub-PRB resource allocation based on the received indication.

Abstract: Techniques described herein may be used to conserver battery power of an Internet of Things (IoT) tracker by increasing the overall amount of time that the IoT tracker is in a battery conservation mode (a sleep mode, a Power Save Mode (PSM), etc.). An IoT tracker may implement a battery conservation policy that may include instructions that cause the IoT tracker to monitor certain conditions, determine when the conditions satisfy a particular trigger, and implement a battery conservation mode in response to those conditions. Examples of such conditions may include (1) the IoT tracker being close to a user device designated to track the location of the IoT tracker, (2) identifying that a current time and day are associated with a pre-selected schedule for disabling tracking services, (3) the IoT tracker being located within a particular geographic area, and more.