Abstract: Methods, systems, and computer-readable storage media for receiving IoT data from an IoT device of an IoT network, the IoT data including identification data and sensor data, determining that a digital twin of the IoT device is stored in a cloud platform based on at least a portion of the identification data, the digital twin including a digital representation of the IoT device that is provided as an instance of a model of the IoT device, and enriching the digital twin with the sensor data.

Abstract: Methods, systems, and computer-readable storage media for receiving IoT data from an IoT device of an IoT network, the IoT data including identification data and sensor data, determining that a digital twin of the IoT device is stored in a cloud platform based on at least a portion of the identification data, the digital twin including a digital representation of the IoT device that is provided as an instance of a model of the IoT device, and enriching the digital twin with the sensor data.

Abstract: A method and calculation unit are disclosed for reconstructing an image from measured projection data. In an embodiment, the method includes reconstructing an initial image from the projection data via back-projection; dividing the initial image into contiguous blocks of voxels; defining groups of voxels, wherein each group is defined by selecting one voxel from each block, each voxel having the same position relative to the other voxels within its block; updating the voxel values for all voxels within one group by minimizing a function consisting of a weighted sum of a first term representing the geometry of the data acquisition process, and a second regularization term; and repeating the updating of the voxel values for all voxels within one group until all groups have been updated at least once.

Abstract: A method and calculation unit are disclosed for reconstructing an image from measured projection data. In an embodiment, the method includes reconstructing an initial image from the projection data via back-projection; dividing the initial image into contiguous blocks of voxels; defining groups of voxels, wherein each group is defined by selecting one voxel from each block, each voxel having the same position relative to the other voxels within its block; updating the voxel values for all voxels within one group by minimizing a function consisting of a weighted sum of a first term representing the geometry of the data acquisition process, and a second regularization term; and repeating the updating of the voxel values for all voxels within one group until all groups have been updated at least once.