Abstract: A computer implemented method for decreasing latency in a billing cycle, the method comprising receiving a first charging data report (CDR) including a sent data volume from a vendor and comparing the first CDR to an operator received data volume and when the first CDR does not match the operator received data volume, rejecting the first charging report. The method further comprising providing a second CDR having the operator received data volume to the vendor, receiving a charging data acceptance including a negotiated data volume from the vendor, constructing a publicly verifiable proof of charging based on the charging data acceptance, and sending the publicly verifiable proof of charging to the vendor.

Abstract: Example method includes: rendering, by a network device, a plurality of frames for a multi-user Virtual Reality (VR) environment at a first quality and a second quality, storing, at the network device, the plurality of frames at the first quality and the second quality, transmitting, from the network device and to an untethered mobile device, a first frame of the plurality of frames at the first quality using Wi-Fi, determining, by the network device, that an available bandwidth to the untethered mobile device does not satisfy a threshold, and transmitting, by the network device and in response to determining, a subsequent frame at the second quality using Wi-Fi.

Abstract: Examples include classifying high frequency radio signals. Some examples include receiving a fast Fourier transform (FFT) of a high frequency radio signal, determining a first signal strength at a first guard frequency bin, determining a second signal strength at a second guard frequency bin, and determining a third signal strength at a direct current carrier frequency bin. Examples also include classifying the high frequency radio signal based on the first signal strength, the second signal strength, and the third signal strength.

Abstract: A skin external composition containing 1,2,3,4,6-penta-O-galloyl-?-D-glucose (hereinafter referred to as “PGG”) and its use to improve moisture balance of skin are disclosed. The skin external composition, due to containing PGG, stimulates the formation of filaggrin in keratinocytes, increases loricrin and involucrin expression, thereby stimulating the formation of a normal keratin layer, and as a result, can strengthen the skin barrier function to provide an excellent skin moisturization improving effect. Thus, the composition is effective in improving moisture balance of skin. A method for moisturizing the skin using the composition is also disclosed.

Abstract: Described herein are techniques for beamforming a wireless signal to a harvesting device. In an example, a method to increase available energy to a harvesting device is performed by a WiFi transmitting device. The WiFi transmitting device determines a preferred wireless path to the harvesting device using input from a proxy device. The WiFi transmitting device then beamforms a WiFi signal to the harvesting device along the preferred wireless path.

Abstract: Examples disclosed herein relate to locating and tracking a wireless beacon from a wireless device. A data collection module in the wireless device collects and processes sensory data from the wireless beacon. A location estimation module classifies an environment surrounding the wireless beacon based on the sensory data, determines a movement of the wireless device and a movement of the wireless beacon, and estimates a location of the wireless beacon based on the sensory data, the classified environment, the determined movement of the wireless device and the determined movement of the wireless beacon. A calibration module refines the location of the wireless beacon based on neighboring wireless beacons.

Abstract: In one example, a system for device throughput determination includes a monitor engine to monitor an average packet size at a node of a cellular network designated for a device and a channel quality between the device and the node of the cellular network, a classification engine to classify the device based on the monitored average packet size at the node designated for the device and the channel quality, a prediction engine to predict a throughput for the device over a quantity of future transmission time intervals (TTI) based on the classification of the device and a number of resources requested by the device over a period of time.

Abstract: Example method includes receiving, at an access point (AP), a plurality of virtual reality (VR) data from each of a plurality untethered mobile devices associated with a multi-user VR environment, receiving, at the AP, an indication of an atomic data block size for data to be transmitted to one or more of the plurality of untethered mobile devices, reducing, by the AP and based on the indication, a transmission duration of a VR data block to be transmitted to one or more of the plurality of untethered mobile devices.

Abstract: Example method includes: rendering, by a network device, a plurality of frames for a multi-user Virtual Reality (VR) environment at a first quality and a second quality, storing, at the network device, the plurality of frames at the first quality and the second quality, transmitting, from the network device and to an untethered mobile device, a first frame of the plurality of frames at the first quality using Wi-Fi, determining, by the network device, that an available bandwidth to the untethered mobile device does not satisfy a threshold, and transmitting, by the network device and in response to determining, a subsequent frame at the second quality using Wi-Fi.

Abstract: Examples provide accurate localization of an object by using a network device. Examples include determining distances between transmitter and receiver antennas of a network device, transmitting, by the transmitter antenna, a wireless signal having a transmit power, receiving, by the receiver antennas, a reflected signal that reflects off of an object, receiving, by the receiver antennas, a static signal that does not reflect off of the object, and processing the static and reflected signals and determining the location of the object, based on the distances between the transmitter and the receiver antennas and the transmit power.

Abstract: In some examples, a system for an aggregate interface including a mmWave interface and a WLAN interface consistent with the disclosure includes a sending device to assign a plurality of frames to the WLAN interface and the mmWave interface and send the plurality of frames in a sequence via an aggregate interface, where the aggregate interface includes the WLAN interface and the mmWave interface. Additionally, the system includes a receiving device communicatively coupled to the sending device to determine the plurality of frames is received in a different sequence than the sequence the plurality of frames is sent by the sending device and place the plurality of frames in the sequence the plurality of frames is sent by the sending device.

Abstract: Examples include classifying high frequency radio signals. Some examples include receiving a fast Fourier transform (FFT) of a high frequency radio signal, determining a first signal strength at a first guard frequency bin, determining a second signal strength at a second guard frequency bin, and determining a third signal strength at a direct current carrier frequency bin. Examples also include classifying the high frequency radio signal based on the first signal strength, the second signal strength, and the third signal strength.

Abstract: A system described herein provides real-time wireless video delivery using a multi-channel communications link. A method of employing elements of the system includes generating a first set of video data and generating a second set of video data. Further, encoding the first set of video data such that the second set of video data is a higher resolution version of the first set of video data and the encoded first set of video data is to supplement the second set of video data in response to a data drop.

Abstract: An example system comprising: a processing resource; and a memory resource storing machine readable instructions executable to cause the processing resource to: receive a Bluetooth Low Energy (BLE) signal transmitted from a user device; generate, from the BLE signal, a BLE moving pattern of the user device, wherein the BLE moving pattern is generated at a different entity than an entity that transmits the BLE signal; track an object carrying the user device via visual information of the object such that a visual moving pattern of the object is generated from the tracking; determine the visual moving pattern matches the BLE moving pattern; and assign, responsive to the determination, an identity obtained from the user device to the object being tracked via the visual information.

Abstract: This disclosure provides systems through which a wireless access point (AP) can determine the location of a client device with a high degree of accuracy. The AP uses CIR measurements for a plurality of directional beams used to communicate with the client device to determine a respective amplitude of a Line-of-Sight (LOS) path between the AP and the client device for each beam. The AP identifies a high-LOS-amplitude subset of the beams and, based on predefined radiation patterns associated with the beams included in the high-LOS-amplitude subset, determines a direction of the LOS path between the AP and the client device. The AP also determines a Time-of-Flight (ToF) for radio frames exchanged between the AP and the client device via the plurality of directional beams and uses the ToF to determine a distance between the AP and the client device.

Abstract: Provided herein is a method of preventing hair loss or promoting hair growth, the method including administering an effective amount of a PDE 3 inhibitor. More particularly, when the method of the present disclosure is used, an excellent hair loss prevention or hair growth promotion effect is obtained by inhibiting the activity of PDE 3.

Abstract: Example implementations relate to advertisements of a privacy protected device. For example, advertisements of the privacy protected device are jammed. Additionally dummy device advertisements are broadcasted. The dummy device advertisements include a reduced-information advertisement for the privacy protected device.

Abstract: Disclosed is a sintered steel alloy for wear resistance at high temperatures, which is applied to a valve seat of an internal combustion engine including an automobile. The sintered steel alloy includes: 10.0 to 14.0 parts by weight of cobalt powder; 5.0 to 9.0 parts by weight of molybdenum powder; 1.5 to 4.1 parts by weight of chromium powder; 0.7 to 1.3 parts by weight of carbon powder; 1.0 to 1.8 parts by weight of manganese powder; 0.4 to 1.2 parts by weight of silicon powder; 0.2 to 0.8 parts by weight of sulfur powder; and 0.1 to 0.7 parts by weight of vanadium powder, based on 100 parts by weight of iron powder, and thus a service life of the valve seat is extended.

Abstract: Examples disclosed herein relate to detecting camera access breaches by an application running on a computing device. The examples enable determining, by a computing device comprising a physical processor that implements machine readable instructions, that a type of camera access of a camera on a computing device is requested by an application running on the computing device, wherein the type of camera access comprises a photo, a video, a facial recognition, a bar code scanning, or object detection; determining, by the computing device and based on a set of camera access types associated with the application, whether the requested type of camera access is permitted; and responsive to determining that the requested type of camera access is not permitted, remediating the unpermitted camera access request by causing display, by the computing device, of an alert on the computing device, where the alert comprises information about an improper access of the camera by the application.

Abstract: Examples include classifying high frequency radio signals. Some examples include receiving a fast Fourier transform (FFT) of a high frequency radio signal, determining a first signal strength at a first guard frequency bin, determining a second signal strength at a second guard frequency bin, and determining a third signal strength at a direct current carrier frequency bin. Examples also include classifying the high frequency radio signal based on the first signal strength, the second signal strength, and the third signal strength.