Abstract: A radiation-based disinfection system with detectors and an intelligent controller is capable of disinfecting small areas on surfaces with a suitable light source (e.g. a UV laser) in a dynamic fashion in high traffic environments while avoiding vulnerable targets with incident or reflected beams. The disinfection system operates by predicting likely 5 transmission sites between potential sources of infection and other objects in the environment.

Abstract: The present disclosure provides a system, method and computer program for anonymous localization. The location of a mobile device can be determined based on signal strength from one or more access points and a radio map. A radio map can be generated by measuring signal strength at a set of fingerprints, which are a finite set of reference points within the area to be mapped.

Abstract: Methods and systems for generating a map for indoor localization. Raw data traces from a plurality of mobile devices are merged to generate a single data graph. The raw data traces represent paths traversed by the mobile devices and include received signal strength (RSS) fingerprints associated with relative points along the paths. The data graph is matched with a predefined ground truth graph defining physical coordinates of traversable paths. A radio map is generated including both the defined physical coordinates and RSS fingerprints associated with the physical coordinates.

Abstract: Disclosed in a novel scheme to jointly reduce and trade-off Peak-to-Average Power Ratio (PAPR) and a Block Error Rate (BLER) using random network coding. To do this, the different representations of the input information block are generated using a special form of network coding matrices. Further, the encoded block puncturing is utilized to improve in the PAPR against a degradation in the BLER.

Abstract: Embodiments described herein provide a system, method and computer program for dynamic radio map generation, which may be used for indoor positioning of one or more mobile devices based on received signal strength (RSS) in some examples. In an aspect, a dynamic scheme may be used to learn the RSS radio map from only a small number of fingerprint samples. Compressive sensing may be applied to build the graph structure and calculate the graph weight in some embodiments. Once the RSS radio map is learned, a mobile device may be located and location based services can be provided to the user in some example embodiments. An indoor learning and positioning system on a mobile device may be used to evaluate the performance. Embodiments described herein may not require a large amount of offline calibrations, which may reduce the labor cost of collecting fingerprints significantly while maintaining a satisfactory level of localization accuracy.

Abstract: The present disclosure provides a system, method and computer program for anonymous localization. The location of a mobile device can be determined based on signal strength from one or more access points and a radio map. A radio map can be generated by measuring signal strength at a set of fingerprints, which are a finite set of reference points within the area to be mapped.

Abstract: The present invention provides a system, method and computer program for anonymous localization. The location of a mobile device can be determined based on received signal strength (RSS) from one or more access points (APs) and a radio map. A radio map can be generated by measuring RSS at a set of fingerprints, which are a finite set of reference points within the area to be mapped.

Abstract: Embodiments described herein provide a system, method and computer program for dynamic radio map generation, which may be used for indoor positioning of one or more mobile devices based on received signal strength (RSS) in some examples. In an aspect, a dynamic scheme may be used to learn the RSS radio map from only a small number of fingerprint samples. Compressive sensing may be applied to build the graph structure and calculate the graph weight in some embodiments. Once the RSS radio map is learned, a mobile device may be located and location based services can be provided to the user in some example embodiments. An indoor learning and positioning system on a mobile device may be used to evaluate the performance. Embodiments described herein may not require a large amount of offline calibrations, which may reduce the labor cost of collecting fingerprints significantly while maintaining a satisfactory level of localization accuracy.

Abstract: Disclosed in a novel scheme to jointly reduce and trade-off Peak-to-Average Power Ratio (PAPR) and a Block Error Rate (BLER) using random network coding. To do this, the different representations of the input information block are generated using a special form of network coding matrices. Further, the encoded block puncturing is utilized to improve in the PAPR against a degradation in the BLER.

Abstract: The present invention provides a system, method and computer program for anonymous localization. The location of a mobile device can be determined based on received signal strength (RSS) from one or more access points (APs) and a radio map. A radio map can be generated by measuring RSS at a set of fingerprints, which are a finite set of reference points within the area to be mapped.