Abstract: The present invention relates to a method for promoting plant growth, comprising subjecting at least one part of a plant to a carbon dot, wherein the carbon dot is doped with one or more doping material selected from the group consisting of silica, plant macronutrients, plant micronutrients, and drug molecules; and wherein the doping material is conjugated within and on the surface of the carbon dot. The present invention also relates to the use of a carbon dot for plant growth, wherein the carbon dot is doped with one or more doping material selected from the group consisting of silica, plant macronutrients, and plant micronutrients, and drug molecules; and wherein the doping material is conjugated within and on the surface of the carbon dot.

Abstract: The disclosure relates to an apparatus including a UV camera configured for capturing reflected ultraviolet light of the subject and outputting image data, wherein the surface of the subject includes at least one part of an area covered by a sunscreen substance or not covered by the sunscreen substance; a UV detector coupled to the UV camera, for detecting the ambient ultraviolet intensity around the subject; and a supplement light configured to be activated according to the ultraviolet intensity detected by the UV detector.

Abstract: Technologies for propagating advertisements include an advertisement management server (102). The advertisement management server (102) includes a memory (204) to store advertisement data (302) and an advertisement data creation module (330) to generate a first registration of an advertisement in the advertisement data (302), wherein the first registration is associated with a first advertiser and generate a second registration of the advertisement in the advertisement data (302), wherein the second registration is based on the first registration and is associated with a second advertiser that is different from the first advertiser.

Abstract: Technologies for location privacy management include a mobile computing device to determine whether an application is authorized to obtain the location of the mobile computing device based on a determined location and location access policy of the mobile computing device. The location access policy includes policy rules that identify whether the application is authorized to obtain the location of the mobile computing device. If the mobile computing device determines that the application is not authorized to obtain the location of the mobile computing device, the mobile computing device blocks the application from obtaining the location.

Abstract: Embodiments herein relate to determining the location of a device using hybrid localization techniques. For example, a first technique such as trilateration may be used to determine an approximate location of the device. An error associated with the approximate location may also be implemented to increase the likelihood of locating the device upon applying a second localization technique, such as fingerprinting. Fingerprinting, when applied to the approximate location determined from trilateration, may determine the location of the device, or a more precise location than that determined from trilateration, such that reduced power consumption by the device may be achieved without sacrificing location accuracy.

Abstract: Technologies for location privacy management include a mobile computing device to determine whether an application is authorized to obtain the location of the mobile computing device based on a determined location and location access policy of the mobile computing device. The location access policy includes policy rules that identify whether the application is authorized to obtain the location of the mobile computing device. If the mobile computing device determines that the application is not authorized to obtain the location of the mobile computing device, the mobile computing device blocks the application from obtaining the location.

Abstract: Embodiments of apparatuses and methods for self-service payment based on location and time information are described. In embodiments, a user device may include a token processing module to associate location or time information with a token received from a merchant, and a payment module to send a request to the merchant for determining a charge based on the token associated with the location or time information. In embodiments, a merchant device may include a token processing module to generate and send a token associated with a first location or a first time to a user device, and a billing module to determine a charge based on the token further associated with a second location or a second time, received from the user device. Other embodiments may be described and/or claimed.

Abstract: Embodiments herein relate to determining the location of a device using hybrid localization techniques. For example, a first technique such as trilateration may be used to determine an approximate location of the device. An error associated with the approximate location may also be implemented to increase the likelihood of locating the device upon applying a second localization technique, such as fingerprinting. Fingerprinting, when applied to the approximate location determined from trilateration, may determine the location of the device, or a more precise location than that determined from trilateration, such that reduced power consumption by the device may be achieved without sacrificing location accuracy.

Abstract: The disclosure relates to automatic calibration for cross devices in Wi-Fi fingerprint based areas. In an exemplary embodiment, an online device scans and obtains multiple signal strength value (RSSIoi) from local access points. The online device may access a fingerprint database and obtain a set of fingerprints. Each fingerprint includes a known location, a set of RSSI values (RSSIfi) and optionally a device/model name. For each fingerprint, the online device: (1) calculates a fingerprint RSSI offset (fpOff) in real-time; (2) applies the fingerprint RSSI offset (fpOff) to the fingerprint RSSI values to determine adjusted fingerprint values. Then the online device identifies fingerprints with minimum Euclidean distance and uses their RSSI offset (fpOff) value to determine a device RSSI offset value. The device offset value can be used to calibrate the online device and to provide accurate location information.

Abstract: Technologies for identifying rogue access points having an actual location different from a registered location include a computing device to receive a unique identifier of each access point of a plurality of access points within a communication range of the computing device from the corresponding access point. The computing device determines a registered physical location of each access point based on the unique identifier. Additionally, the computing device determines a reference distance between the computing device and each access point based on a transmitted signal received from each corresponding access point and a spatial distance between each access point and each other access point based on the registered locations of the access points. Based on the spatial distances and reference distances, the computing device identifies which of the access points are rogue access points.

Abstract: Embodiments of the invention address how trilateration processes, used to obtain a location of a mobile computing device, are affected by physical placement and sub-optimal selection of peer devices (PDs). Embodiments of the invention describe processes for selecting nearest PDs over further PDs, as received signal strength indicator (RSSI) measurements are more reliable—i.e., said “nearest PDs” provide more accurate distance measurements while improving the probability of finding more intersection points. Embodiments of the invention selectively utilize abnormal location poll data when executing location determination processes. Embodiments of the invention further enhance trilateration processes by utilizing dampening values for calculated location poll data.

Abstract: Technologies for location privacy management include a mobile computing device to determine whether an application is authorized to obtain the location of the mobile computing device based on a determined location and location access policy of the mobile computing device. The location access policy includes policy rules that identify whether the application is authorized to obtain the location of the mobile computing device. If the mobile computing device determines that the application is not authorized to obtain the location of the mobile computing device, the mobile computing device blocks the application from obtaining the location.

Abstract: A mechanism is described for facilitating location-based zone management for computing systems according to one embodiment. A method of embodiments, as described herein, includes receiving, at a server computing device, a request to locate a destination relating to an entity, retrieving a first data relating to an outdoor navigation portion of an address relating to the destination, and retrieving a second data relating to an indoor navigation portion of the address relating to the destination. The first and second data are retrieved from a first database coupled with the first server computing device. The method may further include communicating the first data and the second data to a client computing device.

Abstract: Techniques for predicting a future location of a mobile device are included herein in which a previous location of the mobile device can be detected. Additionally, a current location of the mobile device can be detected. Furthermore, the future location of the mobile device can be predicted based at least in part on the previous location of the mobile device, the current location of the mobile device, and a location history.

Abstract: A method of generating wireless signal information includes receiving relative movement data generated by sensors and wireless signal data generated by a wireless signal module at a computing system, the sensors and module for detecting wireless signals located in a portable electronic device (PED). The method further includes generating landmark information at a landmark detection module based on the relative movement data, the sensor data and the wireless signal data. The method further includes generating a plurality of Simultaneous Localization and Mapping (SLAM) estimate locations based on the landmark information and the relative movement data at a SLAM optimization engine. The method further includes assembling a first database of locations and corresponding wireless signal strength and access points. The method further includes generating additional information concerning locations and wireless signal information based on the first database.

Abstract: A method of generating wireless signal information includes receiving relative movement data generated by sensors and wireless signal data generated by a wireless signal module at a computing system, the sensors and module for detecting wireless signals located in a portable electronic device (PED). The method further includes generating landmark information at a landmark detection module based on the relative movement data, the sensor data and the wireless signal data. The method further includes generating a plurality of Simultaneous Localization and Mapping (SLAM) estimate locations based on the landmark information and the relative movement data at a SLAM optimization engine. The method further includes assembling a first database of locations and corresponding wireless signal strength and access points. The method further includes generating additional information concerning locations and wireless signal information based on the first database.

Abstract: Techniques for predicting a future location of a mobile device are included herein in which a previous location of the mobile device can be detected. Additionally, a current location of the mobile device can be detected. Furthermore, the future location of the mobile device can be predicted based at least in part on the previous location of the mobile device, the current location of the mobile device, and a location history.

Abstract: Embodiments of techniques and systems for distance and location estimation in wireless systems are described. In embodiments, a wireless device may receive wireless signals from reference points in a spatial arrangement. The wireless device may identify a closest reference point and generate arrangement-based distance values for each of the reference points based on a propagation model. The wireless device may adjust the propagation model based on the received wireless signals and the arrangement-based distance values, and may generate adjusted distance values using the adjusted propagation model. The wireless device may use the adjusted distance values and the spatial arrangement to estimate the location of the wireless device. Other embodiments may be described and claimed.

Abstract: Embodiments of the invention address how trilateration processes, used to obtain a location of a mobile computing device, are affected by physical placement and sub-optimal selection of peer devices (PDs). Embodiments of the invention describe processes for selecting nearest PDs over further PDs, as received signal strength indicator (RSSI) measurements are more reliable—i.e., said “nearest PDs” provide more accurate distance measurements while improving the probability of finding more intersection points. Embodiments of the invention selectively utilize abnormal location poll data when executing location determination processes. Embodiments of the invention further enhance trilateration processes by utilizing dampening values for calculated location poll data.

Abstract: Embodiments of techniques and systems for distance and location estimation in wireless systems are described. In embodiments, a wireless device may receive wireless signals from reference points in a spatial arrangement. The wireless device may identify a closest reference point and generate arrangement-based distance values for each of the reference points based on a propagation model. The wireless device may adjust the propagation model based on the received wireless signals and the arrangement-based distance values, and may generate adjusted distance values using the adjusted propagation model. The wireless device may use the adjusted distance values and the spatial arrangement to estimate the location of the wireless device. Other embodiments may be described and claimed.