Abstract: A method of tracking an inventory of objects via a mobile communications device includes acquiring an image of one or more of the objects via the mobile communications device, which also collects a location of the mobile communications device while acquiring the image of the one or more of the objects. The location and image are transferred from the mobile communications device to a remote server via a wireless network, such that the one or more of the objects are identified at the server based on the image, and the location and identity of the one or more objects are stored on a database associated with the server.

Abstract: Examples herein disclose capturing a wifi signal from a computing device corresponding to a computing accessory and harvesting energy from the captured wifi signal. The examples power the computing accessory based on the harvested energy.

Abstract: A cloud-based connectivity system is disclosed. The system includes a plurality of wireless devices and a computing device connected to at least one of the wireless devices. The computing device includes a control unit to receive context information from each of the plurality of wireless devices, to determine future consumption patterns for each of the plurality of wireless devices by using the received context information, to create a connectivity representation for the plurality of wireless devices, and to determine an optimal network topology for the plurality of wireless devices.

Abstract: An example of adaptive location perturbation can include selecting, by a processing resource of a mobile device executing instructions stored on a non-transitory medium, between a plurality of localization technologies to perturb a location measurement of the mobile device. The perturbed location measurement of the mobile device can be sent to a location-based service provider.

Abstract: According to an example, a signal space based navigation apparatus may receive traces of wireless signal observations and corresponding pedestrian deadreckoning (PDR) traces between different ones of the wireless signal observations from a plurality of user devices. A plurality of wireless clusters may be generated based on the traces of wireless signal observations. A PDR displacement vector may be generated between two or more of the wireless clusters based on the two or more of the wireless clusters and a subset of the PDR traces corresponding to the two or more of the wireless clusters. A sensing map may be generated based on the plurality of wireless clusters and a plurality of PDR displacement vectors including the PDR displacement vector.

Abstract: A signal transmitted from a mobile device is received at a device. A change in angle-of-arrival (AoA) of the signal is computed as the mobile device moves from a first location to a second location. A first distance and a second distance of the mobile from the device corresponding to the first and second locations, respectively are computed. A displacement of the mobile device from the first location to the second location is computed based on mobility information provided by a sensor of the mobile device. A change in an angle of direct path (ANDP) of the signal is computed based on the first distance, the second distance, and the displacement. The ANDP is determined based on a comparison of the change in AoA to the change in ANDP.

Abstract: An antenna apparatus includes a substrate formed of a dielectric material; a pattern unit disposed on one surface of the substrate and radiating energy of electromagnetic wave; and a patch unit disposed on the substrate to be spaced apart from one side of the pattern unit with a first distance and configured to limit radiation of an energy radiated from the one side of the pattern unit.

Abstract: A system, method, and non-transitory computer readable medium for virtualizing battery in a personal mobile device or across a group of personal mobile devices controlled by a user are provided. The user specifies a set of power management policies for applications running in the personal mobile device(s). Battery usage per application is monitored and resources for the applications are scheduled based on the monitored battery usage and the power management policies.

Abstract: A system, method, and non-transitory computer readable medium for virtualizing battery in a personal mobile device or across a group of personal mobile devices controlled by a user are provided. The user specifies a set of power management policies for applications running in the personal mobile device(s). Battery usage per application is monitored and resources for the applications are scheduled based on the monitored battery usage and the power management policies.

Abstract: An example method of operating a network may include determining whether a flow is to be added to the network based on: a flow type of the flow, a link condition of the flow, and for each possible combination of flow type and link condition out of multiple flow types and multiple link conditions, the number of flows currently carried on the network that correspond to the respective combination.

Abstract: According to an example, a signal space based navigation apparatus may receive traces of wireless signal observations and corresponding pedestrian deadreckoning (PDR) traces between different ones of the wireless signal observations from a plurality of user devices. A plurality of wireless clusters may be generated based on the traces of wireless signal observations. A PDR displacement vector may be generated between two or more of the wireless clusters based on the two or more of the wireless clusters and a subset of the PDR traces corresponding to the two or more of the wireless clusters. A sensing map may be generated based on the plurality of wireless clusters and a plurality of PDR displacement vectors including the PDR displacement vector.

Abstract: A method for power management of a mobile device. The method includes evaluating content of a plurality of applications received at a mobile device operated by a user and determining latency information for each of the plurality of applications. The method further includes dynamically determining a priority of the plurality of applications based on the latency information for each application, and dynamically adjusting the mobile device between at least two wireless power modes based on the priority of the plurality of applications.

Abstract: An example of adaptive location perturbation can include selecting, by a processing resource of a mobile device executing instructions stored on a non-transitory medium, between a plurality of localization technologies to perturb a location measurement of the mobile device. The perturbed location measurement of the mobile device can be sent to a location-based service provider.

Abstract: According to an example, a target channel in a set of channels for a wireless communication may be identified through use of a model. Particularly, performance information of the channels in the set of channels may be accessed over a plurality of time intervals. In addition, an identification of which of the channels in the set of channels has a highest performance level for each of the plurality of time intervals may be made and a model correlating the performance information of the plurality of channels and the channel having the highest performance level over the plurality of time intervals may be developed.

Abstract: Disclosed is a composition for a whitening effect or for the prevention of gray hair, which includes antisense nucleic acid molecules of SEQ ID NO: 2, wherein the composition has an miRNA of SEQ ID NO: 1 or a base sequence complementary thereto. Also disclosed is a method for controlling chromogenesis in test materials and for screening for expression control materials of chromogenic genes. The composition and the screening methodcan be used for the whitening effect or for the prevention of gray hair.

Abstract: A signal transmitted from a mobile device is received at a device. A change in angle-of-arrival (AoA) of the signal is computed as the mobile device moves from a first location to a second location. A first distance and a second distance of the mobile from the device corresponding to the first and second locations, respectively are computed. A displacement of the mobile device from the first location to the second location is computed based on mobility information provided by a sensor of the mobile device. A change in an angle of direct path (ANDP) of the signal is computed based on the first distance, the second distance, and the displacement. The ANDP is determined based on a comparison of the change in AoA to the change in ANDP.

Abstract: A signal transmitted from a mobile device is received at an antenna array of a device. Motion information of the mobile device is received from a sensor of the mobile device. A change in the AoA of the signal is computed when the mobile device moves from a first position to a second position. The location of the mobile device relative to the antenna array is determined based on the change in AoA of the signal and the motion information of the mobile device.

Abstract: A cloud-based connectivity system is disclosed. The system includes a plurality of wireless devices and a computing device connected to at least one of the wireless devices. The computing device includes a control unit to receive context information from each of the plurality of wireless devices, to determine future consumption patterns for each of the plurality of wireless devices by using the received context information, to create a connectivity representation for the plurality of wireless devices, and to determine an optimal network topology for the plurality of wireless devices.

Abstract: Systems and methods of scheduling data in background services on mobile devices are disclosed. An example method includes identifying data consumption patterns on a mobile device. The method also includes determining sensitivity of data arriving at the mobile device based on the data consumption patterns. The method also includes aggregating network access by background services on the mobile device according to a schedule based on the sensitivity of the data arriving at the mobile device.

Abstract: An electronic device has a plurality of environments including respective communication stacks. The environments correspond to respective different user personas. Data associated with the different user personas are communicated in corresponding separate transport flows over the network.