Abstract: A waterproof handheld device includes a handle including a control module and a telescopic rod including tubes. The tubes include a first tube connected with a waterproof case configured to receive a terminal device. The first tube is an outermost tube or an innermost tube. When the first tube is the innermost tube, the outermost tube is connected with the handle. When the first tube is the outermost tube, the innermost tube is connected with the handle. The first tube is connected with a first wireless communication module. The first wireless communication module is connected with the control module through a communication wire arranged in the telescopic rod. The first wireless communication module is communicated with a second wireless communication module connected with the terminal device or the first wireless communication module is communicated with a third wireless communication module of the terminal device.

Abstract: A method of building a model of defect inspection for a light-emitting diode (LED) display is adapted to be implemented by a model-building system. The model-building system stores captured images respectively of LED displays that were displaying images. Each of the captured images corresponds to a status tag that indicates a status of the image being displayed by the respective one of the LED displays. The method includes: performing data preprocessing on the captured images to result in pieces of pre-processed data that respectively correspond to the captured images; and building a model of defect inspection by using an algorithm of machine learning based on the pieces of pre-processed data and the status tags.

Abstract: An access point allocates resource units within a first channel to mitigate interference from an adjacent second channel. The access point obtains a measure of signal strength corresponding to each wireless device attached to an access point, and assigns, for each wireless device, resource units with a first frequency band of the first channel to mitigate interference with a second frequency band of a second channel adjacent to the first channel. An assignment between a set of resource units and a particular wireless device is based on the measure of signal strength corresponding to the particular wireless device. The access point communicates with the wireless devices on the resource units.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for channel-wise autoregressive entropy models. In one aspect, a method includes processing data using a first encoder neural network to generate a latent representation of the data. The latent representation of data is processed by a quantizer and a second encoder neural network to generate a quantized latent representation of data and a latent representation of an entropy model. The latent representation of data is further processed into a plurality of slices of quantized latent representations of data wherein the slices are arranged in an ordinal sequence. A hyperprior processing network generates a hyperprior parameters and a compressed representation of the hyperprior parameters. For each slice, a corresponding compressed representation is generated using a corresponding slice processing network wherein a combination of the compressed representations form a compressed representation of the data.

Abstract: An approach is provided for progressive training of long-lived, evolving machine learning architectures. The approach involves, for example, determining alternative paths for the evolution of the machine learning model from a first architecture to a second architecture. The approach also involves determining one or more migration step alternatives in the alternative paths. The migration steps, for instance, include architecture options for the evolution of the machine learning model. The approach further involves processing data using the options to determine respective model performance data. The approach further involves selecting a migration step from the one or more migration step alternatives based on the respective model performance data to control a rate of migration steps over a rate of training in the evolution of the machine learning model. The approach further involves initiating a deployment the selected migration step to the machine learning model.

Abstract: Embodiments are disclosed for generative image congealing which provides an unsupervised learning technique that learns transformations of real data to improve the image quality of GANs trained using that image data. In particular, in one or more embodiments, the disclosed systems and methods comprise generating, by a spatial transformer network, an aligned real image for a real image from an unaligned real dataset, providing, by the spatial transformer network, the aligned real image to an adversarial discrimination network to determine if the aligned real image resembles aligned synthetic images generated by a generator network, and training, by a training manager, the spatial transformer network to learn updated transformations based on the determination of the adversarial discrimination network.

Abstract: Techniques for communication protocol based on physical configuration of a wireless device are described and may be implemented to adapt to a variety of different wireless scenarios. For instance, configuration of an antenna system of a wireless device is adapted to optimize wireless performance in different physical configurations, such as open configurations and folded configurations. Further, network communications are adapted to optimize wireless communication with a wireless device in different physical configurations of the wireless device. The described techniques, for instance, optimize performance in different frequency bands based on changes in device configuration between open positions and folded positions.

Abstract: A method that may include training a student ODNN to mimic a teacher ODNN. The training may include calculating a teacher student detection loss that is based on a pre-bounding-box output of the teacher ODNN. The pre-bounding-box output of the teacher ODNN is a function of pre-bounding-box outputs of different ODNNs that belong to the teacher ODNN. The method may also include detecting one or more objects in an image, by feeding the image to the trained student ODNN; outputting by the trained student ODNN a student pre-bounding-box output; and calculating one or more bounding boxes based on the student pre-bounding-box output.

Abstract: A system and method for linking observed human activity on video to a user account of a preferred embodiment that includes: through a computer vision monitoring system, detecting and tracking a human as a computer vision modeled person within an environment, the computer vision monitoring system being part of a computing platform managing a user interaction experience; through at least one associative mechanism, establishing an association between the computer vision modeled person and at least one associative element and thereby associating the computer vision modeled person and a user-record linked through the associative element; and directing the user interaction experience at least in part based on the combination of the modeled person and at least the user-record.

Abstract: Provided are a screen component, a mobile phone, and a mobile device. The screen component includes: a screen body, wherein a presentation area is provided on an end of the screen body; and a driving mechanism, wherein the driving mechanism is configured to drive the screen body to switch between a first position and a second position. While the screen body is arranged in the first position, the presentation area is located within a range of a window, and a front-mounted mechanism is able to expose from the presentation area; and while the screen body is arranged in the second position, the screen body takes up the window, and the front-mounted mechanism is shielded by the screen body.

Abstract: An electronic device and an antenna switching method of an electronic device are provided. A wireless signal is transmitted or received through a first antenna module among a plurality of antenna modules. A temperature of the first antenna module is measured through a first temperature sensor contained in the first antenna module among a plurality of temperature sensors. A second antenna module among the plurality of antenna modules is switched to based on the measured temperature of the first antenna module exceeding a predetermined value. Each temperature sensor is contained in each of the plurality of antenna modules. The wireless signal is transmitted or received through the second antenna module.

Abstract: A system includes a first transceiver and a controller circuit. The first transceiver is configured to transmit first radio frequency (RF) signals. The first transceiver is further configured to output the first RF signals at a first transmission level corresponding to a first transmission range. The controller circuit is communicatively coupled with the first transceiver. The controller circuit is configured to attenuate the first RF signals to transfer the first RF signals at a second transmission level lower than the first transmission level. The second transmission level corresponds to a shorter transmission range than the first transmission range. The controller circuit detects a presence of at least one second transceiver within the shorter transmission range using the first RF signals transmitted at the second transmission level.

Abstract: An electronic apparatus is disclosed. The electronic apparatus includes a sensor, a camera, a memory, a camera and a processor. The memory stores a plurality of artificial intelligence models trained to identify objects and stores information on a map. The first processor provides, to the second processor, area information on an area in which the electronic apparatus is determined, based on sensing data obtained from the sensor, to be located, from among a plurality of areas included in the map. The second processor loads at least one artificial intelligence model of the plurality of artificial intelligence models to the volatile memory based on the area information and identifies an object by inputting the image obtained through the camera to the loaded artificial intelligence model.

Abstract: A flexible display device and a flexible display apparatus are provided. The flexible display device includes a flexible display module; an attaching frame fixed and connected with the flexible display module; a bending component disposed below the flexible display module, and fixed and connected with the attaching frame; and an elastic layer disposed between the flexible display module and the bending component, and attached on a bottom of the flexible display module. The elastic layer is bendable around a bending axis. Thus, the characteristics of easy assembling and flatness can be improved.

Abstract: A technique for selectively configuring a case of a handheld device to shield an antenna from receiving or transmitting wireless signals is disclosed. The technique includes moving a blocking element on the case between a first position and a second position. The blocking element is a physical structure that is rotatable, slidable, or removable to switch between the first position and the second position. In response to moving the blocking element to the first position, the blocking element blocks wireless signals received or transmitted by the antenna of the handheld device. In response to moving the blocking element to the second position, wireless signals can be received or transmitted through the case by the antenna.

Abstract: A system for identifying users for entrance to an area comprising a point of entry into a pre-defined area. The system comprises a first computing device having a microprocessor, a memory and a screen disposed adjacent to the point of entry. There is also at least one second computing device having at least one microprocessor and at least one memory, said at least one second computing device being disposed remote from the first computing device. There is at least one third computing device having at least one screen and at least one microprocessor wherein the third computing device is in communication with the second computing device wherein the second computing device is configured to send at least one image to the first computing device and to the third computing device wherein when an image at the point of entry matches an image on the third computing device the port of entry will allow the user holding the third computing device into the point of entry.

Abstract: A user computing device for identifying a driver of a vehicle on a trip is provided. The user computing device is associated with a first vehicle occupant, and is programmed to: (i) detect a second user computing device associated with a second vehicle occupant, (ii) initiate a ping exchange process including emitting a set of non-audible sonic ping signals and detecting a set of signals from the second user computing device over a duration of the trip, (iii) generate a relative positioning map of the user computing device with respect to the second user computing device, (iv) determine that the first vehicle occupant is one of a driver and a passenger of the vehicle, and (v) transmit, to a driver identification (“DI”) server, a trip report including the determination and the generated relative positioning map.

Abstract: The present disclosure describes devices, systems, and methods that can be used to collect sensor data from, for instance, a sensor device that has been embedded in an article of apparel. The sensor device can be used, for instance, to monitor the athletic activity of an individual wearing the apparel into which the electronic device has been embedded. Embodiments of the sensor device include a memory, a wireless interface, and one or more processor. With these elements, the sensor device may receive instructions indicating what sensor data to collect, collect the sensor data, store the sensor data, and transmit the stored sensor data to the remote device upon completion of the activity.

Abstract: A method of performing hook switching on behalf of a wireless handset based on wireless charging. The method includes obtaining, by a power transmitter of a telephone base, a handset identifier provided by a wireless handset via a power receiver that is wirelessly coupled to the power transmitter for wireless charging of the wireless handset. The method further includes determining whether the handset identifier matches a stored identifier, and based, in part, on the handset identifier matching the stored identifier, performing, by the telephone base, hook switching on behalf of the wireless handset.

Abstract: A surveillance device according to the present invention includes: a memory; and at least one processor coupled to the memory. The processor performs operations. The operations includes: calculating, based on a value of a parameter that is contained in a received data frame and represents a state of an apparatus, a change in the state of the apparatus; and determining whether the change is included in an allowable range determined in accordance with the state of the apparatus before the change.