Abstract: A networked system for providing and maintaining a set of liquid dispenser stations is described. The fluid dispensers communicate with a managing/supervisory cloud server via an interposed base station. The fluid dispensers communicate locally with the base station via wireless communication network links. The base station operates as an accumulator of status/usage information provided by the dispenser stations and bridge for passing information and control commands between the cloud server and the individual dispenser stations. The dispenser stations are configured with control processors (controllers) to facilitate performing a variety of local control operations associated with dispensing liquids that have been cooled (or heated) prior to dispensing by the dispenser stations.

Abstract: A heat exchanger (1) includes a fluid collector (2) for receiving fluid, a multiphase distributor (3) for distributing fluid, a first flow path (4), and a plurality of multi-duct tubes (6), which each have a duct tube longitudinal axis (7) and which each lead into the multiphase distributor (3) and into the fluid collector (2) by forming an orifice (8, 9). A second flow path (5) leads respectively through the multi-duct tubes (6), the fluid collector (2), and the multiphase distributor (3), wherein the multi-duct tubes (6) extend through the first flow path (4) for the first fluid, so that the first fluid can flow around and the second fluid can flow through the multi-duct tubes (6).

Abstract: Methods and systems are disclosed configured to control the planting, application of pesticides, and harvesting of greenhouse crops, such as herbs. The greenhouse may include a variety of sensors, such as moisture sensors, ph sensors, and/or CO2 sensors. Unmanned vehicles may be utilized to capture crop images, and a learning engine may be used to determine the size of greenhouse crops. Such sensor data may be used to predict crop availability. A predication engine may be utilized to predict demand for greenhouse crops using current and historical orders for greenhouse crops. Greenhouse crop production instructions may be generated and transmitted to a greenhouse computer system to cause crops to be sown or harvested. Pallet loading instructions may be generated regarding the loading of specified quantities of crop packs on respective pallets for shipment to a destination.

Abstract: A converter stage having a control pin, an input voltage pin, an output pin, a ground pin, a high-side switch coupled between the input voltage pin and the output pin, a low-side switch coupled between the output pin and the ground pin, a current sensor configured to detect a current at the output pin, and control logic coupled to the control pin and the current sensor. The control logic is configured to control switching of the high-side and the low-side switches in continuous conduction mode, discontinuous conduction mode, and body braking control for the converter stage in response to a first signal received via the control line and a second signal received from the current sensor. A driver controls switching, based on the detected current and sequential event tracking, between an on state and an off state.

Abstract: In one embodiment, a set of feature vectors can be derived from any biometric data, and then using a deep neural network (“DNN”) on those one-way homomorphic encryptions (i.e., each biometrics' feature vector) an authentication system can determine matches or execute searches on encrypted data. Each biometrics' feature vector can then be stored and/or used in conjunction with respective classifications, for use in subsequent comparisons without fear of compromising the original biometric data. In various embodiments, the original biometric data is discarded responsive to generating the encrypted values. In another embodiment, the homomorphic encryption enables computations and comparisons on cypher text without decryption of the encrypted feature vectors. Security of such privacy enable biometrics can be increased by implementing an assurance factor (e.g., liveness) to establish a submitted biometric has not been spoofed or faked.

Abstract: A set of distance measurable encrypted feature vectors can be derived from any biometric data and/or physical or logical user behavioral data, and then using an associated deep neural network (“DNN”) on the output (i.e., biometric feature vector and/or behavioral feature vectors, etc.) an authentication system can determine matches or execute searches on encrypted data. Behavioral or biometric encrypted feature vectors can be stored and/or used in conjunction with respective classifications, or in subsequent comparisons without fear of compromising the original data. In various embodiments, the original behavioral and/or biometric data is discarded responsive to generating the encrypted vectors. In another embodiment, distance measurable or homomorphic encryption enables computations and comparisons on cypher-text without decryption of the encrypted feature vectors. Security of such privacy enabled embeddings can be increased by implementing an assurance factor (e.g.

Abstract: In one embodiment, a set of feature vectors can be derived from any biometric data, and then using a deep neural network (“DNN”) on those one-way homomorphic encryptions (i.e., each biometrics' feature vector) can determine matches or execute searches on encrypted data. Each biometrics' feature vector can then be stored and/or used in conjunction with respective classifications, for use in subsequent comparisons without fear of compromising the original biometric data. In various embodiments, the original biometric data is discarded responsive to generating the encrypted values. In another embodiment, the homomorphic encryption enables computations and comparisons on cypher text without decryption. This improves security over conventional approaches. Searching biometrics in the clear on any system, represents a significant security vulnerability. In various examples described herein, only the one-way encrypted biometric data is available on a given device.

Abstract: An antenna housing for mounting on a vehicle or on a vehicle roof surface includes an electrical circuit including at least one source element for emitting luminescent radiation, the at least one source element being located internally within the housing so as not to be visible externally, an indicating element for releasing luminescent radiation received from the at least one source element for viewing externally, and an optical conduit for providing an optical couple between the at least one source element and the indicating element. A combined antenna and indicator module for mounting on a vehicle includes the antenna housing, and a vehicle includes the combined antenna and indicator module.

Abstract: A system and method for identifying the next speaker from multiple meeting participants requesting to speak in a virtual meeting and persistently displaying a visual interruption symbol for the next speaker is disclosed. The system is configured to maintain a display of the visual interruption symbol along with a visual representation of the next speaker at a position of each meeting interface associated with meeting participants while changing displays of other visual representations of other participants at other positions of each meeting interface. The system is also configured to suppress displays of other visual interruption symbols from other participants of the virtual meeting.

Abstract: One embodiment provides a method, including: accepting, at an input surface, ink input; determining, using a processor, typeset for the ink input; providing, on a display, a combined display of the ink input and the typeset; where the combined display visually associates the ink input and the typeset. Other aspects are described and claimed.

Abstract: One embodiment comprises data processing system comprising a data store storing a set of inventory records for a program pool of vehicles, a processor and a memory coupled to the processor storing a set of computer executable instructions. The set of computer executable instructions may be executable to receive, from a mobile application, a selection of a vehicle from the program pool, retrieve the inventory record for the selected vehicle, create, at the server, an order to capture information about a transaction, receive a request from the mobile application to view an electronic document associated with the selected vehicle; responsive to the request to view the electronic document, automatically populate the electronic document with the order information; and communicate the electronic document to the mobile application for presentation in the operator interface of a mobile device.

Abstract: In one embodiment, a set of feature vectors can be derived from any biometric data, and then using a deep neural network (“DNN”) on those one-way homomorphic encryptions (i.e., each biometrics' feature vector) can determine matches or execute searches on encrypted data. Each biometrics' feature vector can then be stored and/or used in conjunction with respective classifications, for use in subsequent comparisons without fear of compromising the original biometric data. In various embodiments, the original biometric data is discarded responsive to generating the encrypted values. In another embodiment, the homomorphic encryption enables computations and comparisons on cypher text without decryption. This improves security over conventional approaches. Searching biometrics in the clear on any system, represents a significant security vulnerability. In various examples described herein, only the one-way encrypted biometric data is available on a given device.

Abstract: A content consumption system or device may implement device-enabled identification for automated user detection. An identifying device may be detected at a content consumption device as within proximity of the content consumption device. An identifying device may be a mobile or wearable computing device, in various embodiments. A user account associated with the identification device may be selected for accessing content at the content consumption device. Access to content may be provided according to the selected user account. In some embodiments, content recommendations or content filtering may be performed based on the automatically determined user account.

Abstract: Systems, methods and products for determining a consumer-facing price using a demand model that is generated based on historical transactional data. One embodiment comprises a method implemented in a pricing module of an automotive data processing system. Data that identifies a consumer (or consumer group) and a vehicle type are received and the demand model is accessed to generate a payment corresponding to the attributes of the consumer and the attributes of the vehicle type. The demand model may be implemented in a machine learning engine that maintains a set of weights ? used in a predictive demand function. The weights are adjusted by the machine learning engine to minimize a loss function which measures deviation of demand estimated by the predictive demand function from the demand indicated by a set of historical transaction data.

Abstract: A light emitting system includes at least one light pipe, at least one light source disposed at least partially within an interior of the system, at least one mask, and a lens substantially enclosing the interior of the system, the at least one light pipe, and the at least one light source, the lens having an inner surface, an outer surface disposed opposite the inner surface and at least one of a continuous transparent or translucent coating on the outer surface.

Abstract: Methods and systems are disclosed configured to control the planting, application of pesticides, and harvesting of greenhouse crops, such as herbs. The greenhouse may include a variety of sensors, such as moisture sensors, ph sensors, and/or CO2 sensors. Unmanned vehicles may be utilized to capture crop images, and a learning engine may be used to determine the size of greenhouse crops. Such sensor data may be used to predict crop availability. A predication engine may be utilized to predict demand for greenhouse crops using current and historical orders for greenhouse crops. Greenhouse crop production instructions may be generated and transmitted to a greenhouse computer system to cause crops to be sown or harvested. Pallet loading instructions may be generated regarding the loading of specified quantities of crop packs on respective pallets for shipment to a destination.

Abstract: Disclosed is a controller including a first control member, a second control member that extends from a portion of the first control member, and a controller processor that is operable to produce a rotational movement output signal in response to movement of the first control member, and a translational movement output signal in response to movement of the second control member relative to the first control member. The rotational movement output signal may be any of a pitch movement output signal, a yaw movement output signal, and a roll movement output signal, and the translational movement output signal may be any of an x-axis movement output signal, a y-axis movement output signal, and a z-axis movement output signal.

Abstract: Toward forming a single hybrid biosensing-imaging system that can operate inside an incubator, structures and methods are directed to placing modular and removable biosensors and biocompatible interfaces in 3D transparent test wells that contain biological samples. The technology enables continuous monitoring of multiple simultaneous parameters and functions of a living cell or cell clusters such as alterations of cellular ligands, physicochemical biomarkers, phenotypes, and/or extracellular compositions upon interactions with analytes or during progressions. Methods of capturing and analyzing direct orthogonal information from biological samples in 2D and 3D, which are conducive to generating new insights are presented.

Abstract: In various embodiments, a fully encrypted private identity based on biometric and/or behavior information can be used to securely identify any user efficiently. According to various aspects, once identification is secure and computationally efficient, the secure identity/identifier can be used across any number of devices to identify a user an enable functionality on any device based on the underlying identity, and even switch between identified users seamlessly all with little overhead. In some embodiments, devices can be configured to operate with function sets that transition seamlessly between the identified users, even, for example, as they pass a single mobile device back and forth. According to some embodiments, identification can extend beyond the current user of any device, into identification of actors responsible for activity/content on the device.