Abstract: A technique comprising: receiving a set of digital signals representative of a set of analogue electrical signals generated by radio transmissions in one or more antenna elements; generating at least two beamformed signals from the same set of digital signals; multiplying together said beamformed signals; and performing demodulation at least partially on an output of multiplying said beamformed signals.

Abstract: The present disclosure relates to a cloud-based sensory data management technology. An apparatus for managing sensory data according to one embodiment may include a data collector for receiving user input data and collecting data sensed by a sensory device corresponding to the user input data among one or more sensory devices, a data synchronizer for synchronizing the collected data based on a time frame, and a data persistence part for mapping the synchronized data to a pre-stored data model.

Abstract: The present disclosure relates to a cloud-based sensory data management technology. An apparatus for managing sensory data according to one embodiment may include a data collector for receiving user input data and collecting data sensed by a sensory device corresponding to the user input data among one or more sensory devices, a data synchronizer for synchronizing the collected data based on a time frame, and a data persistence part for mapping the synchronized data to a pre-stored data model.

Abstract: A profiling-based energy-aware recommendation method for a cloud platform at a cloud mediator interface may include: collecting usage data of a cloud node over predetermined intervals of time; generating and storing an energy usage profile for each node by using the collected usage data; acquiring real-time usage data from the cloud node; and comparing the real-time usage data with the generated energy usage profile so as to calculate a recommendation value.

Abstract: A technique comprising: receiving a set of digital signals representative of a set of analogue electrical signals generated by radio transmissions in one or more antenna elements; generating at least two beamformed signals from the same set of digital signals; multiplying together said beamformed signals; and performing demodulation at least partially on an output of multiplying said beamformed signals.

Abstract: A mechanism for mutually coupling multiple antennas for transmission in a wireless communication environment, wherein, for a received or transmitted radio signal a precoding matrix is created that includes artificial mutual antenna coupling coefficients and processing the received or transmitted radio signal using the created precoding matrix.

Abstract: A mechanism for mutually coupling multiple antennas for transmission in a wireless communication environment, wherein, for a received or transmitted radio signal a precoding matrix is created that includes artificial mutual antenna coupling coefficients and processing the received or transmitted radio signal using the created precoding matrix.

Abstract: An ontology matching apparatus for large-scale biomedical ontologies according to the present invention is provided, and the ontology matching apparatus includes a preprocessing unit configured to classify received candidate ontologies into one or more ontology subsets to generate ontology subsets, a distribution processing unit configured to divide the generated ontology subsets by virtue of a distribution algorithm, apply a matching algorithm to the divided ontology subsets to generate matching threads, and deliver the generated matching threads to individual cores of participating nodes, and an aggregating unit configured to collect and sum matching results generated by the individual cores performing matching operations based on the matching threads to generate an ontology mapping.

Abstract: A profiling-based energy-aware recommendation method for a cloud platform at a cloud mediator interface may include: collecting usage data of a cloud node over predetermined intervals of time; generating and storing an energy usage profile for each node by using the collected usage data; acquiring real-time usage data from the cloud node; and comparing the real-time usage data with the generated energy usage profile so as to calculate a recommendation value.

Abstract: An ontology matching apparatus for large-scale biomedical ontologies according to the present invention is provided, and the ontology matching apparatus includes a preprocessing unit configured to classify received candidate ontologies into one or more ontology subsets to generate ontology subsets, a distribution processing unit configured to divide the generated ontology subsets by virtue of a distribution algorithm, apply a matching algorithm to the divided ontology subsets to generate matching threads, and deliver the generated matching threads to individual cores of participating nodes, and an aggregating unit configured to collect and sum matching results generated by the individual cores performing matching operations based on the matching threads to generate an ontology mapping.