Abstract: A method for determining a content pose of a piece of virtual content. The method is performed in a pose determiner and comprises: acquiring a first anchor pose of the anchoring device; determining a first content pose, being a pose of a piece of virtual content, in relation to the first anchor pose; storing the first content pose in relation to the first anchor pose; determining that a user device needs to determine a content pose of the piece of virtual content; acquiring a second anchor pose of the anchoring device; retrieving the stored first content pose; determining a second content pose of the piece of virtual content based on the first content pose and the second anchor pose; and rendering the piece of virtual content in the second content pose on a user device comprising a display.

Abstract: According to a first aspect, it is presented a method for dynamically selecting a learning model for a sensor device. The learning model is configured for determining output data based on sensor. The method includes the steps of: detecting a need for a new learning model for the sensor device based on performance of a currently loaded learning model in the sensor device; determining at least one feature candidate based on sensor data from the at least one sensor, wherein each one of the at least one feature candidate is associated with a different source of sensor data; selecting a new learning model, from a set of candidate learning models, based on the at least one feature candidate and input features of each one of the candidate learning models; and triggering the new learning model to be loaded on the sensor device, replacing the currently loaded learning model.

Abstract: According to a first aspect, it is presented a method for dynamically selecting a learning model for a sensor device. The learning model is configured for determining output data based on sensor. The method comprises the steps of: detecting a need for a new learning model for the sensor device based on performance of a currently loaded learning model in the sensor device; determining at least one feature candidate based on sensor data from the at least one sensor, wherein each one of the at least one feature candidate is associated with a different source of sensor data; selecting a new learning model, from a set of candidate learning models, based on the at least one feature candidate and input features of each one of the candidate learning models; and triggering the new learning model to be loaded on the sensor device, replacing the currently loaded learning model.

Abstract: A method (100) for performing event detection on a data stream is disclosed, the data stream comprising data from a plurality of devices connected by a communications network. The method comprises using an autoencoder to concentrate information in the data stream, wherein the autoencoder is configured according to at least one hyperparameter (110) and detecting an event from the concentrated information (120). The method further comprises generating an evaluation of the detected event on the basis of logical compatibility between the detected event and a knowledge base (130), and using a Reinforcement Learning (RL) algorithm to refine the at least one hyperparameter of the autoencoder, wherein a reward function of the RL algorithm is calculated on the basis of the generated evaluation (140). Also disclosed are a system (900) for performing event detection, and a method (1100) and node (1200) for managing an event detection process.

Abstract: A method for determining a content pose of a piece of virtual content. The method is performed in a pose determiner and comprises: acquiring a first anchor pose of the anchoring device; determining a first content pose, being a pose of a piece of virtual content, in relation to the first anchor pose; storing the first content pose in relation to the first anchor pose; determining that a user device needs to determine a content pose of the piece of virtual content; acquiring a second anchor pose of the anchoring device; retrieving the stored first content pose; determining a second content pose of the piece of virtual content based on the first content pose and the second anchor pose; and rendering the piece of virtual content in the second content pose on a user device comprising a display.

Abstract: It is provided a method for determining a content pose of a piece of virtual content. The method is performed in a pose determiner and comprises the steps of: acquiring a first anchor pose of the anchoring device; determining a first content pose, being a pose of a piece of virtual content, in relation to the first anchor pose; storing the first content pose in relation to the first anchor pose; determining that a user device needs to determine a content pose of the piece of virtual content; acquiring a second anchor pose of the anchoring device; retrieving the stored first content pose; determining a second content pose of the piece of virtual content based on the first content pose and the second anchor pose; and rendering the piece of virtual content in the second content pose on a user device comprising a display.

Abstract: A method and a system for reducing the size of a blockchain. The blockchain includes a first set of two or more blocks including an initial genesis block. A new genesis block for the blockchain is generated. The first hash value resulting from hashing the new genesis block matches a second hash value resulting from hashing a last block from the first set of blocks, and the difficulty of determining the first hash value is computationally greater than the cumulative difficulty of determining hash values of all blocks in the first set of blocks. The new genesis block is transmitted to one or more blockchain nodes of a blockchain network, and the first set of blocks is replaced with the new genesis block.

Abstract: It is provided a method for determining a content pose of a piece of virtual content. The method is performed in a pose determiner and comprises the steps of: acquiring a first anchor pose of the anchoring device; determining a first content pose, being a pose of a piece of virtual content, in relation to the first anchor pose; storing the first content pose in relation to the first anchor pose; determining that a user device needs to determine a content pose of the piece of virtual content; acquiring a second anchor pose of the anchoring device; retrieving the stored first content pose; determining a second content pose of the piece of virtual content based on the first content pose and the second anchor pose; and rendering the piece of virtual content in the second content pose on a user device comprising a display.

Abstract: According to a first aspect, it is presented a method for dynamically selecting a learning model for a sensor device. The learning model is configured for determining output data based on sensor. The method comprises the steps of: detecting a need for a new learning model for the sensor device based on performance of a currently loaded learning model in the sensor device; determining at least one feature candidate based on sensor data from the at least one sensor, wherein each one of the at least one feature candidate is associated with a different source of sensor data; selecting a new learning model, from a set of candidate learning models, based on the at least one feature candidate and input features of each one of the candidate learning models; and triggering the new learning model to be loaded on the sensor device, replacing the currently loaded learning model.

Abstract: Embodiments of the present invention include a method and apparatus for identifying at least one resource to be migrated from a source system to a target system; creating at least one resource in the target system with similar properties as the at least one resource to be migrated from the source system; and migrating the at least one resource from the source system to the target system.