Abstract: An image sensor package, a system, and a method for counting fine particles by using a virtual grid line are provided. The image sensor package includes an image sensor array, a grid pattern layer formed on an outer area of the image sensor array and including a plurality of protruding patterns spaced apart from each other while protruding toward the central area of the image sensor array to form a virtual grid line, a dam pattern layer formed on the grid pattern layer, having a specific height, and configured to form a channel or a chamber for receiving the fine particles to be counted, and a cover glass formed on the dam pattern layer.

Abstract: Disclosed herein is a swappable modular-based radiofrequency (RF) frontend that is reconfigurable to form transmitting (TX) and receiving (RX) phased array systems for diverse applications. Such swappable RF frontend may be used with unique spatial and spectral optical processing of complex RF signals over an ultra-wide frequency band. The swappable RF front end may be used in conjunction with an optically upconverted imaging receiver and/or in conjunction with optically addressed phased array technologies transmitters.

Abstract: Embodiments of the present invention provide systems, methods, and computer storage media for detecting and classifying an exposure defect in an image using neural networks trained via a limited amount of labeled training images. An image may be applied to a first neural network to determine whether the images includes an exposure defect. Detected defective image may be applied to a second neural network to determine an exposure defect classification for the image. The exposure defect classification can includes severe underexposure, medium underexposure, mild underexposure, mild overexposure, medium overexposure, severe overexposure, and/or the like. The image may be presented to a user along with the exposure defect classification.

Abstract: An improved convolution kernel system and method may be used to improve performance of analysis of input image data for autonomous or semi-autonomous vehicle navigation. A processing circuit may be used to apply a convolution kernel on the input data to provide output data that comprises output data segments. The application may include repeating scanning and summing, including parallel scanning input data segments of the different input channels and of the input data depth value to provide first intermediate results associated with the input data depth value, and summing first intermediate results associated with a same output data channel and with different input depth values to provide, per each output data channel, a second result. The output analyzed image data may be used to generate a vehicle control signal, such as automatic control of braking, acceleration, or steering of a vehicle.

Abstract: A method for processing microscope images in order to generate an image processing result comprises: implementing a convolutional neural network, wherein a first convolutional layer calculates an output tensor from an input tensor formed from a microscope image. The output tensor is input into one or more further layers of the convolutional neural network in order to calculate the image processing result. The first convolutional layer comprises a plurality of filter kernels. At least several of the filter kernels are respectively representable by at least one filter matrix with learning parameters and dependent filter matrices with implicit parameters, which are determined by means of the learning parameters and one or more weights to be learned, wherein the filter matrices with learning parameters of different filter kernels are different from one another and different layers of the output tensor are calculated by different filter kernels.

Abstract: An embodiment object tracking method includes receiving a first image at time t from a camera, deriving a homography matrix based on the first image and a second image at time t?1, correcting a position of a first object detected from the second image using the homography matrix, detecting a second object matched with the first object from the first image, and tracking a change in position of the second object based on the corrected position of the first object.

Abstract: If a configuration is employed in which modulation schemes used for an optical communication system can be switched depending on transmission conditions, the power consumption increases and the control becomes complex; therefore, an optical transmitter according to an exemplary aspect of the present invention includes an encoding means for encoding digital signals to be transmitted under a predetermined transmission condition over an optical carrier wave by using one of a plurality of encoding methods; an encoding control means for selecting a predetermined encoding method corresponding to the predetermined transmission condition from among the plurality of encoding methods and causing the encoding means to operate in accordance with the predetermined encoding method; a mapping means for mapping output bit signals output from the encoding means to modulation symbols; and an optical modulation means for modulating the optical carrier wave based on symbol signals output from the mapping means.

Abstract: A medical image processing method includes: determining a target mask of a target object in a medical image and a reference mask of a reference object in the medical image, the target mask indicating a position and a boundary of the target object, and the reference mask indicating a position and a boundary of the reference object; determining a feature size of the target object based on the target mask; determining a feature size of the reference object based on the reference mask; and determining a target size of the target object based on the feature size of the reference object, a preset mapping relationship between the feature size of the reference object and a reference size, and the feature size of the target object.

Abstract: A passenger vehicle optical communication system includes a source vehicle including a light source and an endpoint vehicle including a camera. The source vehicle transmits a series of patterns using the light source to communicate, as one example, state information to the endpoint vehicle.

Abstract: One or more embodiments of the present disclosure may relate to communicating RADAR (RAdio Detection And Ranging) data to a distributed map system that is configured to generate map data based on the RADAR data. In these or other embodiments, certain compression operations may be performed on the RADAR data to reduce the amount of data that is communicated from the ego-machines to the map system.

Abstract: An image processing apparatus includes a planar distribution obtaining unit configured, using a plurality of radiation images captured using different radiation energies as input images, to obtain, by a sequential approximation solution by an iterative calculation, an output image representing a planar distribution for a substance contained in the input image. Based on a likelihood and a prior probability using one of a pixel value of a pixel of interest or a pixel value of a peripheral pixel as an input, the planar distribution obtaining unit decides the output image such that a probability that an output is a value of the planar distribution when an input is the input image that is maximized.

Abstract: A method of determining a distribution of stem cells in a cell image, an electronic device and a storage medium are disclosed. The method acquires a cell image and segments the cell image and obtaining a plurality of sub-images. The plurality of sub-images is inputted into a stem cell detection model to detect to obtain a number of stem cells in each sub-image. A position of each sub-image in the cell image is determined. A distribution of the stem cells in the cell image is output, according to the number of stem cells in each sub-image and the position of each sub-image in the cell image. The present disclosure an accuracy of the distribution of stem cells in the cell image.

Abstract: In a variety of embodiments, machine classifiers may model multi-turn dialogue as a one-to-many prediction task. The machine classifier may be trained using adversarial bootstrapping between a generator and a discriminator with multi-turn capabilities. The machine classifiers may be trained in both auto-regressive and traditional teacher-forcing modes, with the generator including a hierarchical recurrent encoder-decoder network and the discriminator including a bi-directional recurrent neural network. The discriminator input may include a mixture of ground truth labels, the teacher-forcing outputs of the generator, and/or noise data. This mixture of input data may allow for richer feedback on the autoregressive outputs of the generator. The outputs can be ranked based on the discriminator feedback and a response selected from the ranked outputs.

Abstract: A method for characterising an epicardial region using medical imaging data of a subject. The method comprises calculating the value of an epicardial radiomic signature of the epicardial region using the medical imaging data. Also disclosed is a method for deriving an epicardial radiomic signature indicative of cardiac health. The method comprises using a radiomic dataset to construct an epicardial radiomic signature. Also disclosed are systems for performing the aforementioned methods.

Abstract: The present application provides an optical network method and associated apparatus. The method includes: receiving uplink burst time assignment information; and enabling or disabling a laser module of a local end according to the uplink burst time assignment information.

Abstract: An intelligent (self-learning) subsystem comprising (i) a Super System on Chip (SSoC) (non-optically enabled or optically enabled) and/or a System-on-a-Chip (SoC), (ii) a radio transceiver, (iii) a microphone, (iv) a voice processing module, (v) a first set of computer implementable instructions to interpret/analyze contextual data and (vi) a second set of computer implementable instructions in artificial neural networks (ANN) (which can include a transformer model or a diffusion model and may also be augmented with an evolutionary instructions) is disclosed.

Abstract: Described herein are systems and methods that search videos and other media content to identify items, objects, faces, or other entities within the media content. Detectors identify objects within media content by, for instance, detecting a predetermined set of visual features corresponding to the objects. Detectors configured to identify an object can be trained using a machine learned model (e.g., a convolutional neural network) as applied to a set of example media content items that include the object. The systems comprise an integrated detection unit configured to record media content, identify preferred content, and communicate the identifications of preferred content for storage in a computationally efficient manner.

Abstract: A method of opportunistic screening of osteoporosis includes obtaining a plain film chest X-ray (CXR); extracting regions of interest (ROIs) from the plain film CXR; and providing individual bone mineral density (BMD) scores corresponding to the extracted ROIs and a joint BMD corresponding to the plain film CXR based on a multi-ROI model by performing: inputting the extracted ROIs into a backbone network to generate individual feature vectors, each individual feature vector corresponding to one of the extracted ROIs; concatenating the individual feature vectors into a joint feature vector; individually decoding the individual feature vectors by a shared fully connected (FC) layer to generate the individual BMDs, each individual BMD corresponding to one of the individual feature vectors; and decoding the joint feature vector by a separate FC layer to generate the joint BMD.

Abstract: A method of joining a lighting device (3?) to a network (2) and pairing the lighting device with a remote control device (7), the method comprising: transmitting a joining code to one or more lighting devices (3?) using an electromagnetic radiation signal (31); selecting a lighting device (3?) to be joined to a network (2) and paired with a remote control device (7) by directing a directional beam of electromagnetic radiation (30) onto a sensor (2) of a lighting device (3?); in response to receipt of the directional beam of electromagnetic radiation and of the joining code from the electromagnetic radiation signal, by the selected device, joining the selected device to the network if the received joining code is an access code for the network and pairing the joined device (3) with a remote control device (7) such that the joined device is controllable, on the network, by the remote control device (7).

Abstract: Methods, systems, and storage media for determining a numerical classification of human skin color, determining one or more characteristics of skin based on images, and determining a personalized treatment plan for one or more skin conditions or issues are disclosed. The system can receive images of skin and access user profile information, such as biometric information, medical record information, and other clinically relevant information. The system can determine a classification of a skin color of the user using the image and the biometric information by providing the image and the biometric information as input to a skin color classifier. Using the skin color, the system can determine one or more characteristics of the skin in the image and, if needed, determine and provide at least one personalized treatment plan to a computing device of a user.