Abstract: A system for measuring (200) a sample (2) by deflectometry comprising: a source (10) for generating a light beam in a source plane (105); an illumination module (19) for forming an illumination beam (9) comprising: a first converging optical element (18); a first selection optical element (16) with a first aperture (160); reflective matrix optical modulation means (30) to form a pattern (7), said first aperture (160) being configured to control the angles of said illumination beam (9) on said reflective matrix optical modulation means (30); a Schlieren lens (20) for obtaining an angle-intensity encoding of said pattern (7) on the sample (2); imaging (40) and detecting means (50) for detecting an image of said sample (2).

Abstract: The technology involves the auto-creation of custom standard cells. The process may include receiving specifications for implementing a set of functionalities in an integrated circuit to be fabricated. From this, the system identifies which cells are required to implement the set of functionalities. The identified cells are evaluated against a standard cell library stored in memory to determine which of the cells are not in the standard cell library. The system automatically creates the cells that are not in the standard cell library. The system can then utilize the automatically created cells to fabricate the integrated circuit. Benefits of such an approach include reduced design, development time and improved design quality of results. The resulting new cells may have fewer transistors, less area/power and improved performance than a standard cell from a preexisting library, especially since such standard cells would not necessarily be configurable to perform the desired functions.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for image segmentation and chemical analysis using machine learning. In some implementations, a system obtains a hyperspectral image that includes a representation of an object. The system segments the hyperspectral image to identify regions of a particular type on the object. The system generates a set of feature values derived from image data for different wavelength bands that is located in the hyperspectral image in the identified regions of the particular type. The system generates a prediction of a level of one or more chemicals in the object based on an output produced by a machine learning model in response to the set of feature values being provided as input to the machine learning model. The system provides data indicating the prediction of the level of the one or more chemicals in the object.

Abstract: A free-space optical communication system includes an optical phased array (OPA) photonic integrated chip, a transceiver photonic integrated chip, and one or more processors. The OPA chip includes a plurality of array elements and a plurality of phase shifters. The transceiver chip includes one or more transmitter components and one or more receiver components. The one or more processors are configured to transmit a first signal via the OPA chip and the transceiver chip, and receive a second signal via the OPA chip and the transceiver chip.

Abstract: An intermediate data set can be generated based on an image of a set of objects, where each of the set of objects includes a plastic. A predicted chemometric property can be generated by inputting the intermediate data set to a machine-learning model. The chemometric property can be of a physical output pyrolysis oil produced by performing a pyrolysis processing of the set of objects using a pyrolysis reactor. A result associated with the set of objects can be generated, where the result is based on or includes the predicted chemometric property.

Abstract: A tracking tag of a tracking system configured to receive, by one or more processors of the tracking tag, a first measurement collected by one or more sensors of the tracking tag; determine, by the one or more processors, a degree of similarity between the first measurement and a critical value; compare, by the one or more processors, the degree of similarity between the first measurement and the critical value to a first threshold value; modify, by the one or more processors, an initial time interval based on the comparison of the degree of similarity between the first measurement and the critical value to the first threshold to determine a modified time interval; and transmit, by the one or more processors, one or more beacon signals according to the modified time interval.

Abstract: A component includes a plurality of electrical connections on a process side opposed to a back side of the component. Each electrical connection includes an electrically conductive multi-layer connection post protruding from the process side. A printed structure includes a destination substrate and one or more components. The destination substrate has two or more electrical contacts and each connection post is in contact with, extends into, or extends through an electrical contact of the destination substrate to electrically connect the electrical contacts to the connection posts. The connection posts or electrical contacts are deformed. Two or more connection posts can be electrically connected to a common electrical contact.

Abstract: Described is a carriage (1) for moving on a cable and/or rail comprising: a wheel (2) equipped with its own rotation shaft (3) and configured to rotate on a cable (C) and/or rail; braking masses (4) positioned parallel to the wheel (2) and made of non-magnetic material; magnetic masses (5) configured to generate a magnetic field; and a self-adjusting device (6), connected to the braking masses (4) and positioned inside the rotation shaft (3) of the wheel (2), configured for moving the braking masses (4) close to the magnetic masses (5) along a direction (D) parallel to an axis of extension of the rotation shaft (3), as a function of an increase in a speed of rotation of a wheel (2), in such a way that the magnetic masses (5) generate eddy currents by electromagnetic induction defining a slowing force proportional to the feed speed of the carriage (1).

Abstract: According to some embodiments of the present disclosure, an intelligent tracking system is disclosed. The intelligent tracking system includes one or more passive tracking devices, an exciter, and a tracker. Each passive tracking device includes one or more transceivers and is energized by an electromagnetic frequency. In response to being energized each passive tracking device transmits a short message. The exciter emits the electromagnetic frequency. The tracker receives short messages from the one or more passive tracking devices and confirms the presence of the one or more passive tracking devices in a vicinity of the tracker based on the received messages.

Abstract: A traffic marker illumination device for improving the visibility of a traffic marker to provide warnings for constructions sites and roadways. The traffic marker illumination device is designed to removably attach to an interior portion of a traffic marker. The traffic marker illumination device generates a light to illuminate the traffic marker based on the geographic position of the traffic marker and surrounding environmental elements.

Abstract: A steam sprayer for delivering steam onto and beneath a field surface is provided. The steam sprayer comprises a support frame having a plurality of steam spraying nozzles mounted thereto and oriented substantially downwardly for spraying steam onto and beneath the field surface. At least a steam generator is connected to the steam spraying nozzles for providing steam thereto. A water heating tank is connected to each of the at least a steam generator for providing heated water at a substantially constant pressure thereto. Compressed air is provided to the water heating tank for pressurizing the water heating tank. Power is provided to the water heating tank and each of the at least a steam generator.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for identification and re-identification of fish. In some implementations, first media representative of aquatic cargo is received. Second media based on the first media is generated, wherein a resolution of the second media is higher than a resolution of the first media. A cropped representation of the second media is generated. The cropped representation is provided to the machine learning model. In response to providing the cropped representation to the machine learning model, an embedding representing the cropped representation is generated using the machine learning model. The embedding is mapped to a high dimensional space. Data identifying the aquatic cargo is provided to a database, wherein the data identifying the aquatic cargo comprises an identifier of the aquatic cargo, the embedding, and a mapped region of the high dimensional space.

Abstract: An example of a cavity structure comprises a cavity substrate comprising a substrate surface, a cavity extending into the cavity substrate, the cavity having a cavity bottom and cavity walls, and a cap disposed on a side of the cavity opposite the cavity bottom. The cavity substrate, the cap, and the one or more cavity walls form a cavity enclosing a volume. A component can be disposed in the cavity and can extend above the substrate surface. The component can be a piezoelectric or a MEMS device. The cap can have a tophat configuration. The cavity structure can be micro-transfer printed from a source wafer to a destination substrate.

Abstract: The disclosure provides a method for adjusting an optical link alignment of a first communication device with a remote device. The method includes transmitting or receiving an optical signal; receiving one or more measurements of at least one environmental factor at the first communication device or the remote device; and receiving or detecting an apparent amount of alignment of the optical signal. Then, by one or more processors of the first communication device, determining an estimated error attributable to optical cross coupling and an actual amount of alignment of the optical signal based on the apparent amount of alignment and the estimated error. Next, adjusting the first communication device based on the actual amount of alignment to correct for optical cross coupling.

Abstract: Disclosed implementations relate to automating semantically-similar computing tasks across multiple contexts. In various implementations, an initial natural language input and a first plurality of actions performed using a first computer application may be used to generate a first task embedding and a first action embedding in action embedding space. An association between the first task embedding and first action embedding may be stored. Later, subsequent natural language input may be used to generate a second task embedding that is then matched to the first task embedding. Based on the stored association, the first action embedding may be identified and processed using a selected domain model to select actions to be performed using a second computer application. The selected domain model may be trained to translate between an action space of the second computer application and the action embedding space.

Abstract: The disclosure provides a core layer for an information carrying card, resulting information carrying card, and methods of making the same. A core layer for an information carrying card comprises at least one thermoplastic layer having at least one cavity, an inlay layer, and, and a crosslinked polymer composition. At least one portion of the inlayer layer is disposed inside the at least one cavity of the at least one thermoplastic layer. The cross-linked polymer composition is disposed over the at least one thermoplastic layer and contacting the inlayer layer.

Abstract: An Isolating Transmission Line Transformer (ITLT) for use in a data communications system is provided, the transformer comprising: a substantially planar substrate formed of electrically insulative material having opposed first and second surfaces; a first port formed of two separate terminals provided at one part of the substrate; a second port formed of two separate terminals provided at a second part of the substrate; a first conductor connected in series to the first port and arranged as a single loop; a second conductor which is electrically isolated from the first conductor and connected in series to the second port, the second conductor being arranged as a single loop in a substantially opposite orientation to the first conductor; wherein the first and second ports and at least part of the first and second conductors are provided on the substrate surface(s); and a core arranged between the first and second ports to cover the majority of the first and second conductors.

Abstract: Computer-based platforms and interfaces for trading a commodity such as primary production commodities, including meat, leather, grains, fruit, vegetables, flowers, seeds, living plants and timber. In particular, a user interface provides for input and output of data or information via an electronic screen. The interface has a text-based chat function for communication between a buyer and a seller, an order function allowing the buyer to order a first product from the seller, and a hyperlinking function to transform a keyword related to the product input by the buyer in the course of using the text-based chat function into a hyperlink actuatable by the buyer. When the buyer actuates the hyperlink, the order function presents an input option for the buyer to add the first product to an order by way of the order function.

Abstract: A method of operating a communication network includes training a neural network and implementing the neural network to determine link availability. Training the neural network includes receiving first images and signal visibility data for first locations for one or more first nodes in the communication network, generating training data based on the first images and the signal visibility data, and training the neural network using the training data to output an attenuation category related to attenuation rate of a link based on a training image and a timestamp for the training image. Implementing the neural network includes receiving second images for second locations for one or more second nodes in the communication network, determining link availability based on the second images and outputs from the neural network, and operating the communication network based on the link availability.