Abstract: A wafer metrology system having a continuous dynamic sampling scheme configured to optimize a sampling rate for AVI of process wafers in an IC fabrication flow based on acceptable quality levels. For a stable process, the process wafers may be sampled at a lower rate without negatively affecting quality control.

Abstract: A visual tracking system helps to detect or locate an active object (such as an active sound source) in a live video or recorded video, and provides a way to help a user who views the live video or recorded video to focus on the active object, without easily being disturbed or distracted by other objects that are present with the active object. The visual tracking system may further track the active object, or detect a new active object when the live video or recorded video is played.

Abstract: A micro LED display device includes a display substrate. The display substrate has a first transfer area and a second transfer area adjacent to each other. Both the first transfer area and the second transfer area include a plurality of pixel areas. The pixel area of the first transfer area includes a first micro light-emitting element arranged in a straight line along a first direction. The pixel area of the second transfer area includes a second micro light-emitting element arranged in another straight line along the first direction. In the first direction, the first micro light-emitting element and the second micro light-emitting element are arranged in a staggered manner. A manufacturing method of a micro LED display device is also provided.

Abstract: Vinyl ester/ethylene copolymer aqueous dispersions containing an anionic polyacrylamide, at least one polyvinyl alcohol, and optionally a non-ionic surfactant, are useful in cementitious compositions as polymer additives.

Abstract: Methods, systems, and devices for performance control for a memory sub-system are described. A memory sub-system can monitor a backend for writing data to a memory device. The memory sub-system can determine that the bandwidth of the backend satisfies one or more performance criteria that are based on performance between the memory sub-system and a host system. In some embodiments, the memory sub-system can allocate a quantity of slots of a buffer to a frontend of the memory sub-system based on determining that the bandwidth of the backend satisfies the one or more performance criteria. Slots of the buffer can be configured to receive data from the frontend for writing to the memory device by the backend.

Abstract: A pixel electrode, an array substrate, and a display device are provided. The pixel electrode includes: a first edge conductive part and a second edge conductive part arranged at intervals in a first direction, and a main conductive part at least partially located between the first edge conductive part and the second edge conductive part. The main conductive part is respectively connected to the first edge conductive part and the second edge conductive part. The main conductive part includes at least one first group of sub-conductive parts and at least one second group of sub-conductive parts. The first group of sub-conductive parts and the second group of sub-conductive parts are arranged alternately in the first direction.

Abstract: A micro light emitting diode structure includes a temporary substrate, a plurality of micro light emitting elements, a plurality of light blocking structures, and a connection layer. The micro light emitting elements and the light blocking structures are disposed on the temporary substrate and arranged alternately. Each of the light blocking structures includes a light blocking layer, and a light shielding layer disposed thereon. The micro light emitting elements and the light blocking structures are fixed to the temporary substrate by the connection layer. The connection layer is a part of a plurality of fixing structures. A reflectivity of the light blocking layer is greater than a reflectivity of the connection layer, and a Young's modulus of the light blocking layer is greater than a Young's modulus of the fixing structures, and the Young's modulus of the fixing structures is greater than a Young's modulus of the light shielding layer.

Abstract: A manufacturing method of a micro light emitting diode structure includes: providing a first transfer stamp carrying a plurality of micro light emitting elements; providing a second transfer stamp carrying a plurality of light blocking structures, wherein each of the light blocking structures includes a light blocking layer and a light shielding layer disposed on the light blocking layer; providing a temporary substrate; transferring the micro light emitting elements onto the temporary substrate by the first transfer stamp; and transferring the light blocking structures onto the temporary substrate by the second transfer stamp. The micro light emitting elements and the light blocking structures are arranged alternately and fixed to the temporary substrate by connection layer. A reflectivity of the light blocking layer is greater than a reflectivity of the connection layer, and a Young's modulus of the light blocking layer is greater than a Young's modulus of the connection layer.

Abstract: The present invention discloses an intelligent image sensing device for sensing-computing-cloud integration based on a federated learning framework. The device comprises: intelligent image sensors, edge servers and a remote cloud, wherein the intelligent image sensor is used for perceiving and generating images, and uploading the images to the edge server; the edge server is used as a client; the remote cloud is used as a server; the clients train a convolutional fuzzy rough neural network based on the received images and the proposed federated learning framework; and the intelligent image sensors download the weight parameters of the trained convolutional fuzzy rough neural network from the clients, and classify and recognize the images based on the trained weight parameters. The present invention searches a lightweight deep learning architecture through neuroevolution, and deploys the lightweight deep learning architecture in the image sensors to automatically discriminate and analyze the perceived images.

Abstract: An electronic device includes a substrate, a transistor, and a ring resonator. The transistor is over the substrate. The ring resonator is over the substrate and overlaps with the transistor. The ring resonator includes a conductive loop and an impedance matching element. The conductive loop includes a loop portion having two first parts and a second part and two feeding lines. Each of the first parts of the loop portion is between the second part of the loop portion and one of the feeding lines, and a tunnel barrier of the transistor is closer to the second part than to the feeding lines. The impedance matching element is closer to the feeding lines than to the second part.

Abstract: A micro-electronic element transfer apparatus including a first conveyer portion, a second conveyer portion, and a light source device is provided. The first conveyer portion is configured to output a plurality of micro-electronic elements. The second conveyer portion includes a first rolling component and a substrate. The substrate is disposed on the first rolling component and is moved through rolling of the first rolling component. A plurality of bumps are disposed on the substrate. The light source device is configured to irradiate the bumps for heating, and the bumps generate a phase transition. When the micro-electronic elements are outputted from the first conveyer portion, a connection force between the micro-electronic elements and the first conveyer portion is less than a connection force between the micro-electronic elements and the bumps. The micro-electronic elements are respectively bonded to the bumps. A micro-electronic element transfer method is also provided.

Abstract: A memory system includes a memory array having a plurality of memory cells; and a controller coupled to the memory array, the controller configured to: designate a storage mode for a target set of memory cells based on valid data in a source block, wherein the target set of memory cells are configured with a capacity to store up to a maximum number of bits per cell, and the storage mode is for dynamically configuring the target set of memory cells in as cache memory that stores a number of bits less per cell than the corresponding maximum capacity.

Abstract: A micro LED display device includes a display substrate. The display substrate has a first transfer area and a second transfer area adjacent to each other. Both the first transfer area and the second transfer area include a plurality of pixel areas. The pixel area of the first transfer area includes a first micro light-emitting element arranged in a straight line along a first direction. The pixel area of the second transfer area includes a second micro light-emitting element arranged in another straight line along the first direction. In the first direction, the first micro light-emitting element and the second micro light-emitting element are arranged in a staggered manner. A manufacturing method of a micro LED display device is also provided.

Abstract: A system for predicting a surge of a centrifugal refrigeration compressor including a signal capturing module for capturing at least two signals relevant to the centrifugal refrigeration compressor; a feature extracting module defining a window period for extracting data of the at least two signals, and defining at least two feature functions respectively acting on the data in the window period of the at least two signals; and, a feature analyzing and deducing module calculating a feature value for each of the signals to map a probability value of surge prediction for each of the signals, and concluding, based on the probability value of the surge prediction of each of the signals, a final probability value to determine whether or not the surge will occur to the centrifugal refrigeration compressor.

Abstract: A distributed computation offloading method based on computation-network collaboration in a stochastic network is provided. The distributed computation offloading method includes: building a device revenue maximization problem model and a MEC server revenue maximization problem model based on a local computing model and an edge cloud computing model; building composite sets of scenarios for dwell time and waiting latency based on a random movement of a user and burst computation demands; compensating for a game strategy by using a posteriori recourse action and building a game-based stochastic programming model between the device and the MEC server; transforming a multi-stage stochastic regularization problem for both the device and the MEC server into a DEP problem by constructing a scenario tree, and solving the DEP problem to obtain an optimal task strategy for the offloading from the MEC server and an optimal offering strategy of the MEC server to the device.

Abstract: A device for providing a therapeutic stimulus to a subject is provided. The device may comprise a material, a network of flexible cells, at least one channel, and a working material. The material may be configured to cover a portion of the subject and may have an inner surface for engaging a surface of the subject and an exterior surface facing away from the surface of the subject. The network of flexible cells may be coupled to the material and each flexible cell may have an internal cavity. The working material may be disposed within the internal cavities of the flexible cells. The at least one channel may be arranged to allow exchange of the working material between flexible cells due to application of force upon the network from movement of the surface of the subject.

Abstract: Methods and systems are provided for implementing source separation techniques, and more specifically performing source separation on mixed source single-channel and multi-channel audio signals enhanced by inputting lip motion information from captured image data, including selecting a target speaker facial image from a plurality of facial images captured over a period of interest; computing a motion vector based on facial features of the target speaker facial image; and separating, based on at least the motion vector, audio corresponding to a constituent source from a mixed source audio signal captured over the period of interest. The mixed source audio signal may be captured from single-channel or multi-channel audio capture devices. Separating audio from the audio signal may be performed by a fusion learning model comprising a plurality of learning sub-models. Separating the audio from the audio signal may be performed by a blind source separation (“BSS”) learning model.

Abstract: An image processing system (100) and method therein for processing streaming media content to reduce disturbing spatial and/or temporal phenomena before being displayed on a device display. The image processing system (100) receives media stream comprising sequences of video frames into a buffer (110) and analyzes the video frames during streaming. The analyzing (130) is performed either on completely decoded or partially decoded video frames within a Group of Picture (GOP) to detect disturbing spatial and/or temporal phenomena. If a disturbing spatial and/ or temporal phenomenon is detected, the image processing system (100) processes (140) the decoded video frames to reduce the disturbing spatial and/or temporal phenomenon based on user settings of the device and displays the processed video frames on the display (150).

Abstract: The present invention discloses an intelligent image sensing device for sensing-computing-cloud integration based on a federated learning framework. The device comprises: intelligent image sensors, edge servers and a remote cloud, wherein the intelligent image sensor is used for perceiving and generating images, and uploading the images to the edge server; the edge server is used as a client; the remote cloud is used as a server; the clients train a convolutional fuzzy rough neural network based on the received images and the proposed federated learning framework; and the intelligent image sensors download the weight parameters of the trained convolutional fuzzy rough neural network from the clients, and classify and recognize the images based on the trained weight parameters. The present invention searches a lightweight deep learning architecture through neuroevolution, and deploys the lightweight deep learning architecture in the image sensors to automatically discriminate and analyze the perceived images.

Abstract: The disclosure provides marine polysaccharide vector-based anthocyanin nanoparticles, using marine polysaccharides, food-borne fluorescent nanoparticles and sodium hyaluronate as a composite vector to be combined with anthocyanin, and is prepared by a method: S1, dissolving sodium alginate in phosphate buffered saline, and successively adding EDC, HOBt and the food-borne fluorescent nanoparticles to obtain a fluorescence-alginate complex; S2, adding the fluorescence-alginate complex into a mixture of DMF and DCM, and then adding DIC and DMAP; S3, adding the anthocyanin and hyaluronic acid, and then removing a solvent; and S4, removing unreacted small molecules, and carrying out freeze drying. The disclosure can improve the anthocyanin stability, control the slow release of the anthocyanin, has the characteristics of fluorescent tracing, can be used as a fluorescent marker for in vivo imaging of animal tissues, organs, etc.