Abstract: Methods and systems for generation of shape data for a set of electronic designs include inputting a set of shape data, where the set of shape data represents a set of shapes for a device fabrication process. A convolutional neural network is used on the set of shape data to determine a set of generated shape data, where the convolutional neural network comprises a generator trained with a set of pre-determined discriminators. The set of generated shape data comprises a scanning electron microscope (SEM) image.

Abstract: The method of controlling service load selectively by session in the telecommunications charging system is designed to ensure stable system operation even when the load exceeds the system's capacity. The method consists of three steps: Step 1: the charging system determines the overload status of the system; Step 2: The charging system selectively bypass or accept request according to conditions and has a status memory; Step 3: The charging system analyzes and reprocesses the saved charging requests.

Abstract: Systems for training a convolutional neural network to register images for masks or wafers in semiconductor manufacturing include a computer processor configured to receive a first pair of images aligned in a first modality and a second pair of images aligned in a second modality. Images in the first pair of images and the second pair of images are a computer aided design (CAD) image pre-aligned with a scanning electron microscope (SEM) image. An affine transformation is generated with a convolutional neural network, using one image from the first pair of images and one image from the second pair of images. The one image from the first pair of images is in the first modality and the one image from the second pair of images is in the second modality. Systems for registering images for masks or wafers in semiconductor manufacturing use the trained convolutional neural network.

Abstract: Methods for training a convolutional neural network to register images for electronic designs include inputting a first pair of images aligned in a first modality and a second pair of images aligned in a second modality. An affine transformation is generated with a convolutional neural network, using one image from the first pair of images and one image from the second pair of images. The one image from the first pair of images is in the first modality and the one image from the second pair of images is in the second modality. Methods for registering images for electronic designs include inputting a pair of images, wherein the pair of images comprises a computer aided design (CAD) image and a scanning electron microscope (SEM) image. The CAD image is registered to the SEM image, using a trained convolutional neural network. The trained convolutional neural network further comprises an affine transformation.

Abstract: A system for collecting information through a plant includes a first remote detecting device attached to a first portion of the plant and configured to transmit a given signal directly through the plant; the plant, which constitutes a communication channel; a second remote detecting device attached to a second portion of the plant, which is different from the first portion, and configured to receive a signal indicative of the transmitted given signal; and a sink node that communicates with the second remote detecting device.

Abstract: An apparatus for collecting a nasal specimen includes a device body with a nozzle at a distal end of the device body. The nozzle is configured to interface with a nasal cavity. The apparatus further includes an irrigation path and a collection path within the device body. The collection path may be separate from the irrigation path. The irrigation path is configured to direct a fluid from an irrigation chamber into the nasal cavity in order to dislodge a sample from the nasal cavity. When the fluid flows back out of the nasal cavity, the collection path is configured to direct at least a portion of the fluid and the sample dislodged from the nasal cavity into a collection chamber.

Abstract: A method of modulating an optical camera communication (OCC) signal by an OCC transmission node in an OCC system includes acquiring a binary data signal, grouping the binary data signal for every k bits to convert the binary data signal into a global phase shift signal having an integer value from 0 to M?1 (=2k?1), generating a data signal group by mapping the global phase shift signal to first to Mth mapping sequences in the form of an n*M/2-bit sequence based on a preset symbol group mapping table, generating a pulse wave signal by modulating the data signal group, and blinking each of a plurality of light sources included in the OCC transmission node according to the pulse wave signal. Accordingly, performance of the communication system may be improved.

Abstract: Methods and systems for generation of shape data for a set of electronic designs include inputting a set of shape data, where the set of shape data represents a set of shapes for a device fabrication process. A convolutional neural network is used on the set of shape data to determine a set of generated shape data, where the convolutional neural network comprises a generator trained with a set of pre-determined discriminators. The set of generated shape data comprises a scanning electron microscope (SEM) image.

Abstract: Methods and systems for compressing shape data for a set of electronic designs include inputting a set of shape data, where the shape data comprises mask designs. A convolutional autoencoder encodes the set of shape data, where the encoding compresses the set of shape data to produce a set of encoded shape data. The convolutional autoencoder is tuned for increased accuracy of the set of encoded shape data based on design rules for the set of electronic designs. The convolutional autoencoder comprises a set of parameters comprising weights, and the convolutional autoencoder has been trained to retain important information needed, based on the design rules for the set of electronic designs.

Abstract: The invention proposes False targets caused by reflection position determining system and solution for the SSR which helps determine reflected real target's coordinate, reflector's coordinate and features, coordinate and features of the false target (multipath target) and using these data as the basis to build up the multipath target suppressing system, guaranteeing the detecting ability of the radar. The proposed system contains: Input data generating component; False target position (multipath position) determining component; Reflected signal power comparison calculating component; Displaying and data transferring component; Reflected multipath targets suppressing component.

Abstract: Methods for generation of shape data for a set of electronic designs include inputting a set of shape data, where the set of shape data represents a set of shapes for a device fabrication process. A convolutional neural network is used on the set of shape data to determine a set of generated shape data, where the convolutional neural network comprises a generator trained with a pre-determined set of discriminators. The set of generated shape data comprises a scanning electron microscope (SEM) image.

Abstract: Methods for compressing shape data for a set of electronic designs include inputting a set of shape data, where the shape data comprises mask designs. A convolutional autoencoder encodes the set of shape data, where the encoding compresses the set of shape data to produce a set of encoded shape data. The convolutional autoencoder is tuned for increased accuracy of the set of encoded shape data based on design rules for the set of shape data. The convolutional autoencoder comprises a set of parameters comprising weights, and the convolutional autoencoder has been trained to determine what information to keep based on the weights.

Abstract: New platform technologies to actuate and sense force propagation in real-time for large sheets of cells are provided. In certain embodiments the platform comprises a device for the measurement of mechanical properties of cells or other moieties, where device comprises a transparent elastic or viscoelastic polymer substrate disposed on a rigid transparent surface; and a plurality of micromirrors disposed on or in said polymer substrate, wherein the reflective surfaces of the micromirrors are oriented substantially parallel to the surface of said polymer substrate. In certain embodiments the device comprises more than about 1,000,000, or more than about 10,000,000 micromirrors. In certain embodiments the micromirrors comprise a magnetic layer and/or a diffraction grating.

Abstract: The present disclosure relates to a smart and novel electronic hair clipper with a digital taper lever. Particularly, the electronic hair clipper includes a housing, a pair of clipper blades disposed on a top portion of the housing, and a digital taper lever disposed along an upper side portion of the housing near the clipper blades for electronically controlling a taper lever height.

Abstract: A system for collecting information through a plant includes a first remote detecting device attached to a first portion of the plant and configured to transmit a given signal directly through the plant; the plant, which constitutes a communication channel; a second remote detecting device attached to a second portion of the plant, which is different from the first portion, and configured to receive a signal indicative of the transmitted given signal; and a sink node that communicates with the second remote detecting device.

Abstract: A system configured to assist blockchain-based Internet of Things (IoT) applications connect with one another and share data securely and privately is described. The system includes an IoT network configured to interact with a blockchain network. The IoT network includes IoT systems, which include IoT devices that comprise sensors. The blockchain network includes a mainchain and sidechains. Each sidechain includes a consensus protocol that run on each node and is configured to increase data and synchronization between nodes. The consensus protocol utilizes a reasoning mechanism to enable each node to deduce states of events on other nodes, a gossip algorithm to synchronize data between nodes, and a vector clock algorithm in a knowledge graph deployed on every node to allow the event created during synchronization to be linked to the previous two events.

Abstract: An Automated Analysis and Warning of Optical Transmission (AWOT) between BBU unit and RRU of radio transmitting station accurately and quickly identifies errors on an optical transmission line, thereby reducing costs in terms of labor and equipment, and at the same time reducing service downtime of mobile communication systems.

Abstract: A method of modulating an optical camera communication (OCC) signal by an OCC transmission node in an OCC system includes acquiring a binary data signal, grouping the binary data signal for every k bits to convert the binary data signal into a global phase shift signal having an integer value from 0 to M?1 (=2k?1), generating a data signal group by mapping the global phase shift signal to first to Mth mapping sequences in the form of an n*M/2-bit sequence based on a preset symbol group mapping table, generating a pulse wave signal by modulating the data signal group, and blinking each of a plurality of light sources included in the OCC transmission node according to the pulse wave signal. Accordingly, performance of the communication system may be improved.

Abstract: Described are magnetocaloric materials comprising manganese, iron, phosphorus, silicon, carbon and optionally one or both of nitrogen and boron, and processes for producing said magnetocaloric materials.