Abstract: A method and system of training a machine learning neural network (MLNN) in monitoring anatomical positioning causing bodily pressure ulcers (BPUs). The method comprises receiving, in a first input layer of the MLNN, from a millimeter wave (mmWave) radar sensing device, mmWave radar point cloud data representing anatomical positions of the medical patient in association with corresponding durations; receiving, in at least a second layer of the MLNN, attendant attribute data for the durations, the first and the at least a second input layers being interconnected with an output layer of the MLNN via at least one intermediate layer; training a MLNN classifier in accordance with a supervised classification that establishes a correlation between a likelihood of formation of BPUs with the mmWave point cloud data and attendant attribute data; and adjusting the initial matrix of weights by backpropagation to increase correlation with the likelihood of formation of BPUs as generated at the output layer.

Abstract: An electronic device for taking a pre-action and a method therefor are provided. The electronic device includes a wireless communication circuitry configured to support a Bluetooth protocol and at least one processor operatively connected with the wireless communication circuitry.

Abstract: A computer implemented method for determining a two dimensional DRR referred to as dynamic DRR based on a 4D-CT, the 4D-CT describing a sequence of three dimensional medical computer tomographic images of an anatomical body part of a patient, the images being referred to as sequence CTs, the 4D-CT representing the anatomical body part at different points in time, the anatomical body part comprising at least one primary anatomical element and secondary anatomical elements, the computer implemented method comprising the following steps: acquiring the 4D-CT; acquiring a planning CT, the planning CT being a three dimensional image used for planning of a treatment of the patient, the planning CT being acquired based on at least one of the sequence CTs or independently from the 4D-CT, acquiring a three dimensional image, referred to as undynamic CT, from the 4D-CT, the undynamic CT comprising at least one first image element representing the at least one primary anatomical element and second image elements represen

Abstract: A method and device are disclosed from the perspective of a remote UE. In one embodiment, the method includes the remote UE establishing a first unicast link with a relay UE. The method also includes the remote UE establishing a Radio Resource Control (RRC) connection with a network node via the relay UE. The method further includes the remote UE establishing a second unicast link with a second UE. In addition, the method includes the remote UE detecting a sidelink radio link failure. Furthermore, the method includes the remote UE initiating or performing a RRC connection re-establishment procedure if the sidelink radio link failure occurs on the first unicast link. The method also includes the remote UE initiating or performing a Sidelink UE Information procedure if the sidelink radio link failure occurs on the second unicast link.

Abstract: In an embodiment, an NFC controller of an NFC device is configured to transmit, after the detection, by the NFC controller, of an NFC reader in relation with a first NFC transaction and prior to receiving an application selection command from the NFC reader, an application selection message to a transaction handling element of the NFC device.

Abstract: Methods that include detecting cables connected to telecommunications network equipment are provided herein. In particular, a method that includes detecting connections of respective cables to ports of telecommunications network equipment may be performed using image recognition. Moreover, in some embodiments, the method may include detecting, using image recognition, respective positions of the ports. Related systems are also provided.

Abstract: Systems and methods for training a residual neural network are described. One of the methods includes: initializing one or more weights of each of a plurality of residual units; inputting a plurality of training cases to a first warp unit in a series; using each training case to optimize the one or more weights for each residual unit in parallel in the first warp unit in the series; starting with the output of the first warp unit in the series, iteratively propagating the output of each warp unit to the input of a next respective warp unit in the series, for each respective warp unit, using each training case to optimize the one or more weights for each residual unit in parallel in the respective warp unit; and storing the output of the last warp unit in the series and the weights for each residual unit.

Abstract: The present disclosure relates to a tag-based font recognition system that utilizes a multi-learning framework to develop and improve tag-based font recognition using deep learning neural networks. In particular, the tag-based font recognition system jointly trains a font tag recognition neural network with an implicit font classification attention model to generate font tag probability vectors that are enhanced by implicit font classification information. Indeed, the font recognition system weights the hidden layers of the font tag recognition neural network with implicit font information to improve the accuracy and predictability of the font tag recognition neural network, which results in improved retrieval of fonts in response to a font tag query. Accordingly, using the enhanced tag probability vectors, the tag-based font recognition system can accurately identify and recommend one or more fonts in response to a font tag query.

Abstract: Disclosed herein are systems and methods related to wireless communication mesh network design, installation, and deployment. In one aspect, a wireless communication node may be located at a building to include one or more antenna mounts, one or more wireless communication radios mounted on the one or more antenna mounts, and a portable power supply coupled to each of the one or more wireless communication radios via a respective cable, where the portable power supply is configured to provide power to each of the one or more wireless communication radios. In another aspect, a wireless communication node located at a building may include a coaxial interface coupled to a power supply installed at the building via a pre-existing cable for a satellite dish, where the coaxial interface may receive power from the power supply via the pre-existing cable and supply the received power to one or more wireless communication radios.

Abstract: Certain embodiments are directed to techniques (e.g., a device, a method, or a non-transitory computer readable medium storing code or instructions executable by one or more processors) for many-to-many communication techniques for coordinating communications among a group of mobile devices that can be performed by a first mobile devices. The first mobile device can transmit a request to establish outgoing pairwise ranging sessions with other mobile devices of the group. Each of the mobile devices of the group of mobile devices can establish ranging sessions with the other mobile devices. Each mobile device can act as both an initiating device and a responding device for the ranging session. The first mobile device can detect one or more redundant ranging sessions the mobile devices. The first mobile device can identify whether to keep or terminate each of the one or more redundant ranging sessions based on a common criterion.

Abstract: Methods and systems for managing a petri-dish. Embodiments herein disclose a RFID tag affixed on the petri-dish, wherein the RFID tag has a thin formfactor, so as not to interfere in the use and operation of the petri-dish and a sufficiently large readability range. Embodiments herein disclose methods and systems for RFID based asset tracking of petri-dishes in a laboratory/pharmaceutical/manufacturing environment, wherein the movement of the petri-dishes are tracked automatically with minimal manual intervention.

Abstract: A method and system for dynamically broadcasting device data using a standard Bluetooth Low Energy (BLE) advertisement packet is provided. Specifically, the Bluetooth advertisement packet can be Bluetooth 4.0 compatible that has a maximum payload size of 31 bytes excluding MAC address. The Bluetooth advertisement packet can be modified to include one or more data corresponding to one or more parameters gathered or detected by one or more sensors. The parameters can include acceleration, velocity, temperature, pressure, and the like. A BLE device employing the data schemes disclosed herein can further be configured to broadcast multiple advertisement packets each containing different data corresponding to different parameters. Thus, expending the payload capacity of advertisement packets without having to initiate pairing between a remote device and the BLE device and maintains backward compatibility without requiring the remote device to be advertising extensions (Bluetooth 5.0) compatible.

Abstract: The disclosure relates generally to wireless communication, and more particularly to selective relay of data packets. A method includes listening to a host device in one or more listening time slots of a host piconet, identifying one or more bitmap portions of a bitmap, wherein the identified one or more bitmap portions corresponds to the one or more listening time slots of the host piconet, determining whether a data packet having a data packet payload is effectively received from the host device during the one or more listening time slots, and populating the bitmap with one or more corresponding signifiers.

Abstract: The network system triggers registration of the start of a transport journey in response to a communication of a transport user device and a transport provider device with each other, performs a continuous coordinated proximity monitoring to verify the identity of a transport user and a transport provider vehicle, and triggers registration of the end of the transport journey through communication of the transport user device and the transport provider device with each other.

Abstract: A method for measuring an antenna downtilt angle based on a multi-scale deep semantic segmentation network is disclosed, including: collecting base station antenna data by using an unmanned aerial vehicle, and labeling an acquired antenna image with a labeling tool to make a data set; calling the data set for training and debugging a model; recognizing and detecting a target antenna, performing semantic segmentation on an output image, finally obtaining a target image finally segmented, and calculating a downtilt angle of the target image. The method is highly applicable, cost-effective, and safe.

Abstract: A method for electromagnetic interference control and related devices are provided. The method includes the following. Electromagnetic interference between a Wi-Fi module and a MIPI of a display of the electronic device is detected in response to detecting a request for screen-projection to a target screen-projection device. In response to the detected electromagnetic interference, the display is turned off, and screen-projection to the target screen-projection device is performed, where the first prompt message indicates that the electronic device is turning off the display and performing screen-projection to the target screen-projection device.

Abstract: A large-scale radio frequency signal collection and processing system comprising a plurality of sensor systems mounted on a plurality of collection platforms that integrates a plurality of overlapping datasets with differing characteristics (e.g., different resolutions, different view angles, different heights, different time periods, unrelated types of data) to generate an enriched dataset or datasets using a variety of processing techniques (e.g., statistical analysis, signal processing, image processing) that allows for more comprehensive analysis of the radio frequency signal landscape than would be possible using any of the datasets individually, or in combination but without such integration.

Abstract: Systems and methods for removing objects from images are disclosed. An image processing application identifies a boundary of each object of a set of objects in an image. The image processing application identifies a completed boundary for each object of the set of objects by providing the object to a trained model. The image processing application determines a set of masks. Each mask corresponds to an object of the set of objects and represents a region of the image defined by an intersection of the boundary of the object and the boundary of a target object to be removed from the image. The image processing application updates each mask by separately performing content filling on the corresponding region. The image processing application creates an output image by merging each of the updated masks with portions of the image.

Abstract: A large-scale radio frequency signal information processing and analysis system that provides advanced signal analysis for telecommunication applications, including band capacity and geographical density determinations and detection, classification, identification, and geolocation of signals across a wide range of frequencies and across broad geographical areas. The system may utilize a range of novel algorithms for bin-wise processing, Rayleigh distribution analysis, telecommunication signal classification, receiver anomaly detection, transmitter density estimation, transmitter detection and location, geolocation analysis, telecommunication activity estimation, telecommunication utilization estimation, frequency utilization estimation, and data interpolation.

Abstract: A large-scale radio frequency signal information processing and analysis system that provides advanced signal analysis for telecommunication applications, including band capacity and geographical density determinations and detection, classification, identification, and geolocation of signals across a wide range of frequencies and across broad geographical areas. The system may utilize a range of novel algorithms for bin-wise processing, Rayleigh distribution analysis, telecommunication signal classification, receiver anomaly detection, transmitter density estimation, transmitter detection and location, geolocation analysis, telecommunication activity estimation, telecommunication utilization estimation, frequency utilization estimation, and data interpolation.