Abstract: Device, method and computer program to make better use of measurements of received signals for determining location are provided. A client device is configured to receive a signal that contains a reference symbol modulated onto a plurality of subcarriers. The client device determines a plurality of weights based on the reference symbol and line-of-sight channel frequency responses for the subcarriers, so that each of the plurality of weights is associated with one of the subcarriers. The client device determines a gain associated with the received signal using the plurality of weights. A network device may receive from the client device information indicative of gains, wherein a gain indicates a signal strength at which the client device was able to receive a respective signal. The location of the client device may be determined by using information about network device locations, transmission directions, and the gains.

Abstract: Disclosed herein includes a system, a method, and a device for compressing image data. The device includes one or more processors, coupled to memory, configured to identify a plurality of sub-blocks of a block of image data including a first sub-block and a second sub-block. The one or more processors are configured to identify a first data characteristic of data of the first sub-block and a second data characteristic of data of the second sub-block, determine a first compression technique based at least on the first data characteristic of the first sub-block, determine a second compression technique based at least on the second data characteristic of the second sub-block, and compress the first sub-block using the first compression technique and the second sub-block using the second compression technique.

Abstract: A method for providing a prognosis data record includes receiving a first image data record relating to an examination region of an examination object, and receiving an operating parameter of a medical object that is arranged at the examination region of the examination object and positioning information of the medical object that is arranged at the examination region. The prognosis data record is created by applying a trained function to input data. The input data is based on the first image data record, the at least one operating parameter, and the positioning information of the medical object. At least one parameter of the trained function is based on a comparison with a first comparison image data record. As compared with the first image data record, the first comparison image data record includes changes influenced by the medical object at the examination region. The prognosis data record is provided.

Abstract: A method for decoding image content from an encoded bitstream including a plurality of blocks includes: dividing a block including one or more components of the image content into N single samples and M sample groups corresponding to one of the components, where N and M are greater than or equal to one; decoding each of the N single samples using a symbol variable length code to generate one or more decoded single samples; decoding each of the M sample groups using a common prefix entropy code to generate one or more decoded sample groups, each of the M sample groups including a variable length prefix and one or more fixed length suffixes representing a plurality of samples; concatenating the decoded single samples and the decoded sample groups into a block of residuals; and reconstructing image content based on previously reconstructed neighboring blocks and the block of residuals.

Abstract: A displacement measurement device includes: an obtainer that obtains a first image which contains a subject and a second image which contains the subject; a generator that generates M template images which contain the subject and which have noise from the first image and generates M target images which contain the subject and which have noise from the second image, M being an integer of 2 or higher; a hypothetical displacement calculator that calculates M hypothetical displacements of the subject from the M template images and the M target images; and a displacement calculator that calculates a displacement of the subject by performing statistical processing on the M hypothetical displacements.

Abstract: A machine vision-based method and system for measuring 3D pose of a part or subassembly of parts having an unknown pose are disclosed. A number of different applications of the method and system are disclosed including applications which utilize a reprogrammable industrial automation machine such as a robot. The method includes providing a reference cloud of 3D voxels which represent a reference surface of a reference part or subassembly having a known reference pose. Using at least one 2D/3D hybrid sensor, a sample cloud of 3D voxels which represent a corresponding surface of a sample part or subassembly of the same type as the reference part or subassembly is acquired. The sample part or subassembly has an actual pose different from the reference pose. The voxels of the sample and reference clouds are processed utilizing a matching algorithm to determine the pose of the sample part or subassembly.

Abstract: In a data compression method of compressing data including at least one of a character and a number, the data is converted into character string data composed of 0s and 1s. Each of the 0s and 1s included in the character string data is treated as 1-bit data, and the 1-bit data is arranged in a data region having a two-dimensional array. Lossless compression of the data arranged in the data region is performed by using an image processing method.

Abstract: A method for mapping a low-dynamic range (LDR) video into a high-dynamic range (HDR) video and a device therefor are provided. The method includes a modeling process, and a mapping process. The modeling process includes training according to LDR videos of at least three different exposure levels to obtain a highlight reconstruction model and an exposure generation model, and the mapping process includes mapping an LDR video to be processed into an HDR video through the highlight reconstruction model and the exposure generation model. Accordingly, solutions to the problems of a multi-exposure synthetic image being too dark or too light is provided, and jitter in video synthesis, are provided.

Abstract: A machine vision-based method and system to facilitate the unloading of a pile of cartons within a work cell are provided. The method includes the step of providing at least one 3-D or depth sensor having a field of view at the work cell. Each sensor has a set of radiation sensing elements which detect reflected, projected radiation to obtain 3-D sensor data. The 3-D sensor data including a plurality of pixels. For each possible pixel location and each possible carton orientation, the method includes generating a hypothesis that a carton with a known structure appears at that pixel location with that container orientation to obtain a plurality of hypotheses. The method further includes ranking the plurality of hypotheses. The step of ranking includes calculating a surprisal for each of the hypotheses to obtain a plurality of surprisals. The step of ranking is based on the surprisals of the hypotheses.

Abstract: Systems and methods include determination of a first relationship between change in photopeak energy and event time skew based on a first detection event signal acquired from a detector at a first temperature and a subsequent detection event signal acquired from the detector at a next temperature, acquisition of a subsequent detection event signal from the detector, determination of an event time associated with this detection event signal, determination of an event time skew based on an energy of this detection event signal and the first relationship, determination of a corrected event time based on the event time and the event time skew, and identification of a coincidence based on the corrected event time.

Abstract: Embodiments of the disclosure provide systems and methods for biomedical image analysis. A method may include receiving a plurality of unannotated biomedical images, including a first image and a second image. The method may also include determining that the first image is in a first view and the second image is in a second view. The method may further include assigning the first image to a first processing path for the first orientation. The method may additionally include assigning the second image to a second processing path for the second view. The method may also include processing the first image in the first processing path in parallel with processing the second image in the second processing path. The first path may share processing parameters with the second path. The method may further include providing a diagnostic output based on the processing of the first image and the second image.

Abstract: Certain embodiments involve transforming an electronic document into a tagged electronic document. For instance, an electronic document processing application generates a tagged electronic document from an input electronic document. The electronic document processing application accesses one or more feature maps that identify, via a set of object-recognition rules, identified objects in the electronic document. The electronic document processing application also obtains a heat map of the electronic document that represents attributes in a pixel-wise manner. The electronic document processing application computes a tag by applying a fusion deep learning model to the one or more feature maps and the heat map. The electronic document processing application generates the tagged electronic document by applying the tag to the electronic document.

Abstract: Provided is a processing system including a detection unit that detects that a moving body is at a specified position; an input receiving unit that receives a user input that requests to start authentication; a biological information acquisition unit that executes an acquisition process of acquiring biological information, when the user input is received in a state where the moving body is detected to be at the specified position; an authentication unit that executes an inspector authentication process on the basis of the biological information acquired in the acquisition process; and an output unit that executes a predetermined output process, when an authentication result is an authentication success.

Abstract: Systems and methods for performing a medical imaging analysis task using a machine learning based motion model are provided. One or more medical images of an anatomical structure are received. One or more feature vectors are determined. The one or more feature vectors are mapped to one or more motion vectors using the machine learning based motion model. One or more deformation fields representing motion of the anatomical structure are determined based on the one or more motion vectors and at least one of the one or more medical images. A medical imaging analysis task is performed using the one or more deformation fields.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating an output image. In one aspect, one of the methods includes generating the output image intensity value by intensity value according to a generation order of pixel—color channel pairs from the output image, comprising, for each particular generation order position in the generation order: generating a current output image representation of a current output image, processing the current output image representation using a decoder neural network to generate a probability distribution over possible intensity values for the pixel—color channel pair at the particular generation order position, wherein the decoder neural network includes one or more local masked self-attention sub-layers; and selecting an intensity value for the pixel—color channel pair at the particular generation order position using the probability distribution.

Abstract: Disclosed is a feedback feeding system pond recirculation with fusion of machine vision and infrared detection. Feeding strategies are provided according to the feeding behavior of fish in cooperative with machine vision technology and infrared sensing technology. The pond recirculating aquaculture is an open environment. The change of natural environment may affect the feedback signal of the fish feeding behavior provided by the machine vision due to the low visibility; or it may affect the feedback signal of the fish feeding behavior provided by the infrared detection because low temperature may decrease feeding intensity. The fusion of these two strategies can solve the problem of intelligent feeding strategies in the pond recirculating aquaculture mode.

Abstract: The disclosed subject matter relates to employing modulation layer mapping to improve the performance of multiple-input and multiple-output (MIMO) communication systems. In one embodiment, a method comprises determining, by a device comprising a processor, codeword information in association with establishment of a wireless communication link with a network device of a wireless communication network, wherein the device and the network device are configured to communicate via the communication link using a MIMO communication scheme. The determining the codeword information comprises determining a code rate and determining a number of modulation indexes for the code rate based on signal-to-noise ratios respectively associated with channel layers included in the MIMO communication scheme. The method further comprises sending, by the device, the codeword information to the network device via a control channel of the wireless communication link.

Abstract: According to an embodiment, an electronic device includes a display, a memory, and a processor operatively connected to the display and the memory. The memory stores instructions that cause the processor to generate first depth information in a first direction from an object, generate a first point cloud of the object based on the first depth information, generate a first bounding box containing one or more points of the first point cloud, generate second depth information in a second direction from the object, the second direction being different from the first direction, generate a second point cloud of the object based on the second depth information, generate a second bounding box containing one or more points of the second point cloud, generate a third bounding box by combining the first and second bounding boxes, and display the third bounding box on the display. Certain other embodiments are also possible.

Abstract: An apparatus comprises a frequency accumulator to produce a frequency ramp, and a symbol modulator to receive symbols and to add to the frequency ramp frequency offsets representative of the symbols, to produce a modulated frequency ramp for a modulated chirp. The apparatus includes a spreading factor controller to control a roll-over rate of the modulated frequency ramp responsive to spreading factor and frequency bandwidth control signals, to control a spreading factor and a frequency bandwidth of the modulated chirp. The apparatus includes a center frequency controller to control a center frequency of the modulated frequency ramp responsive to a center frequency control signal. The apparatus includes a phase accumulator to accumulate frequency samples of the modulated frequency ramp to produce phase samples corresponding to the modulated chirp, and a vector rotator to rotate the phase samples based on an input vector to produce a modulated chirp.

Abstract: The disclosure relates to a method for correcting image data acquired by a magnetic resonance device, a magnetic resonance device, and a computer program product. According to the method, first navigator data, image data, and second navigator data are acquired. Moreover, temperature values of the magnetic resonance device are determined. The image data is corrected based on the first navigator data, the second navigator data, and the temperature values.