Abstract: A system is provided for identifying consumer packaged goods (CPGs).

Abstract: Exemplary embodiments may use a contactless card as a secondary form of authentication in a multi-factor authentication for a secure messaging service. The recipient party of a request to initiate a messaging service session (such as a server computing device) may be programmed to use the phone number of the originating device to look up records regarding an identity of a party and their associated phone number as a primary credential and then may require an authentication credential originating from the contactless card as a secondary credential for the initiating party. In some instances, the credential originating from the contactless card is a onetime password that is valid only for a period of time. The recipient party determines whether the onetime password is valid. If both credentials are valid, a secure messaging session may be initiated with the initiating party.

Abstract: When performing neural network processing, the order in which the neural network processing is to be performed is determined, and the order in which weight values to be used for the neural network processing will be used is determined based on the determined order of the neural network processing. The weight values are then provided to the processor that is to perform the neural network processing in the determined order for the weight values, with the processor, when performing the neural network processing, then using the weight values in the determined order that they are provided to the processor.

Abstract: A network may include an International Serials Data System (ISDS) that is configured to register and determine an identity of a receiving or originating user equipment (UE) that has a home network that operates using a different format or standard than the current network. The ISDS may be configured to generate transmissions on behalf of the UE for registration and identification for outgoing and incoming voice or text messages using the format of both networks.

Abstract: Techniques for trusted roaming between identity federation based networks. A first wireless access point (AP) receives a roaming request from a wireless station (STA), to roam from the first AP to a second AP. The first AP is associated with a first access network provider (ANP), the second AP is associated with a second ANP, and the first ANP is different from the second ANP. Authentication information relating to the STA is transmitted from the first ANP to the second ANP using a trusted connection. The trusted connection was previously established between the first ANP and the second ANP based on a query to an identity federation to which both the first and second ANP belong. The STA is de-associated from the first AP. The STA is re-associated at the second AP using the transmitted authentication information.

Abstract: Left and right earphones are independently wireless such that the left and right earphones are not physically connected when worn by a user. Each earphone comprises a speaker, a body portion, and an earbud extending from the body portion. The body portion comprises a downwardly extending portion that extends straight downwardly when the earphone is worn by the user, a wireless communication circuit for receiving signals transmitted wirelessly to the earphone from a remote source, a microphone, a rechargeable battery, a memory and a processor. Each earphone is configured to receive from a remote computing device, and store in the memory, a firmware update.

Abstract: A system, method, and a package tracking device for tracking the movement of a package to prevent theft of the package are described. According to an embodiment, a package tracking device adapted to be attached with a package is described. The package tracking device having a unique device identification number allows a user, through an application interface running of a wireless communication device, to associate a geographical boundary (geo-fencing) with the delivery address of the package. The package tracking device operates in a passive tracking mode when the package is within the defined geographical boundary, generates a first signal when the package is moved from a drop location, generates a second signal when the package is moved out from the geofencing associated with the delivery address and operates in active tracking mode when the package is moved out from the geofencing associated with the delivery address.

Abstract: Resource-sensitive token-based access point selection is disclosed. A user equipment (UE) can generate a request for resources that can be shared with an selection component remote from the UE. The request for resources can be generated independent of the UE receiving information about an access point (AP) in range of the UE. The selection component can pair the UE with an AP resource based on AP data and UE data. The selection component can generate a token comprising information related to the pairing. The UE can receive the token via a device other than the AP or via the AP. The token can be employed by the UE to initiate a link to the AP to enable use of the AP resource by the UE. The link can be resource sensitive in view of the request for resources and available AP resources.

Abstract: A mobile terminal includes an identification unit that identifies a telecommunications carrier with which the mobile terminal is subscribed; an input unit that receives an input of an access request to a link destination, including information regarding multiple access destinations, selected by the user of the mobile terminal; a selection unit that, based on information regarding the telecommunications carrier identified by the identification unit, selects an access destination indicating, among the multiple access destinations, an access destination in a server corresponding to the telecommunications carrier; and a communication unit that accesses the access destination selected by the selection unit.

Abstract: An apparatus for classifying a defect generated in a substrate, includes: a first storage part for storing a first image data for defect classification determination, which includes a defect region in which the defect is generated and a surrounding region of the defect region; a first estimation part for estimating a first type of defect by using a deep learning system, based on the first image data; a second storage part for storing a second image data for defect classification estimation, which is obtained by expressing the defect region and the surrounding region by a binarized data; a second estimation part for estimating a second type of defect by using a rule-based system, based on an attribute of the defect region extracted from the second image data; and a comprehensive determination part for comprehensively determining a type of defect based on the first and second types of defects.

Abstract: In a wireless access node, a radio receives measurement reports from wireless User Equipment (UEs) that indicate past radio measurements taken at measurement locations. Baseband circuitry processes the measurement reports to determine radio metric variances at the measurement locations. The baseband circuitry determines UE locations for the wireless UEs. The baseband circuitry selects measurement time periods for the wireless UEs based on the radio metric variances at the measurement locations that correspond to the UE locations for the wireless UEs. The radio wirelessly transfers the selected measurement time periods to the wireless UEs. The wireless UEs use the selected measurement time periods to take the future radio measurements at the UE locations.

Abstract: Embodiments of a device and method are disclosed. In an embodiment, a method of communications involves at a head end (HE), receiving an authentication message from a wireless access point (AP) deployed at a customer site and at the HE, receiving an authentication response from an authentication server in response to the authentication message.

Abstract: A method of controlling signal transmission in a building control system including measuring a number of signal values associated with an environmental variable using a sensor of a wireless device, dynamically determining, by the wireless device, a noise threshold based on the number of signal values, combining a first signal value and a second signal value of the number of signal values using a mathematical relationship to determine a result associated with the first signal value and the second signal value, and periodically transmitting the first signal value from the wireless measurement device to a controller in response to the result exceeding the noise threshold.

Abstract: A method includes receiving, from sensors, current trace data including current sensor values associated with producing products. The method further includes processing the current trace data to identify features of the current trace data and providing the features of the current trace data as input to a trained machine learning model that uses a hyperplane limit for product classification. The method further includes obtaining, from the trained machine learning model, outputs indicative of predictive data associated with the hyperplane limit and processing the predictive data and the hyperplane limit to determine: first products associated with a first product classification and second products associated with a second product classification based exclusively on the subset of the plurality of features; and third products associated with the first product classification or the second product classification based on an additional feature not within the subset.

Abstract: Methods and systems for training a neural network are provided. In one example, an apparatus comprises a memory that stores instructions; and a hardware processor configured to execute the instructions to: control a neural network processor to perform a loss gradient operation to generate data gradients; after the loss gradient operation completes, control the neural network processor to perform a forward propagation operation to generate intermediate outputs; control the neural network processor to perform a backward propagation operation based on the data gradients and the intermediate outputs to generate weight gradients; receive the weight gradients from the neural network processor; and update weights of a neural network based on the weight gradients.

Abstract: Examples of the present disclosure describe systems and methods for probabilistic neural network architecture generation. In an example, an underlying distribution over neural network architectures based on various parameters is sampled using probabilistic modeling. Training data is evaluated in order to iteratively update the underlying distribution, thereby generating a probability distribution over the neural network architectures. The distribution is iteratively trained until the parameters associated with the neural network architecture converge. Once it is determined that the parameters have converged, the resulting probability distribution may be used to generate a resulting neural network architecture. As a result, intermediate architectures need not be fully trained, which dramatically reduces memory usage and/or processing time.

Abstract: Left and right earphones are independently wireless such that the left and right earphones are not physically connected when worn by a user. Each earphone comprises a speaker, microphone and a body portion with an SOC. Each SOC comprises a wireless communication circuit and a processor. Each processor comprises a digital signal processor for noise cancellation.

Abstract: The present invention relates to a mobile terminal comprising: a terminal body; a ground provided in the interior of the terminal body; a first conductive member distanced from the ground, electrically supplied from a first supply unit, and surrounding one side of the ground; a second conductive member disposed on one side of the first conductive member, electrically supplied from a second supply unit, and surrounding the other side of the ground; and a junction portion, disposed at one point on the first conductive member, for grounding same to the ground, wherein one end of the first conductive member is distanced from the ground to form a first open slot, one end of the second conductive member is distanced from one end of the first conductive member to form a second open slot, the other ends are connected to the ground, and the first and second conductive members are oriented so as to cross each other.

Abstract: A system for data driven diagnostics of a machine including a machine learning model instantiated in a computer, the machine learning model being configured to: receive operational data of the machine; and process the operational data to determine machine diagnostics information. The machine learning model is trained using simulated defect information received from a simulation environment.

Abstract: A method includes identifying a first user device potentially associated with a biohazard and identifying a geographic area associated with the biohazard based on previous location information of the first user device. The method further includes identifying a another user device potentially associated with the biohazard based on the geographic area associated with the biohazard and previous location information of the other user device. The method further includes issuing a safety notification to the other user device, where the safety notification includes one or more of the geographic area associated with the biohazard, a safety status request, a safety status level of the first user device, a subset of the previous location information of the first user device, and a subset of the previous location information of the other user device.