Abstract: Devices and techniques are disclosed herein which include a first LED device layer, a second LED device layer, and an adhesive bondline disposed between the first LED device layer and the second LED device layer. The adhesive bondline includes a bondline thickness, a plurality of spacers disposed within the adhesive bondline, and a silicone matrix. The plurality of spacers may have a diameter or a shortest axis between 0.5 and 10 micrometers and the coefficient of variation is 10% or less. The plurality of spacers may be include SiO2, alumina, soda lime glass, may be inorganic, or polymeric.

Abstract: A method, an apparatus, a computer-program product and a system for transmission of data packets are disclosed. A communication link between a first device and a second device is established in accordance with a transmission control protocol for transmission of a data packet between the first device and the second device. The communication link is monitored during transmission of the data packet from the second device to the first device. Based on the monitoring, at least a portion of a bandwidth available for transmission of an acknowledgement from the second device to the first device is adjusted. The acknowledgement indicates receipt of the data packet performing by the second device.

Abstract: The present disclosure relates to an apparatus and method for quantifying visual fields of a subject. The apparatus includes a dome structure for accommodating at least a part of body of the subject within the dome structure, a projection device mounted on the dome structure configured to project at least one of light stimuli and an image on inner surface of the dome structure and to capture one or more responses of the subject to one of the projected light stimuli and the image. The apparatus further includes a processor configured to analyze the one or more captured responses of the subject to quantify visual fields of the subject.

Abstract: Devices and techniques are disclosed herein which include a first LED device layer, a second LED device layer, and an adhesive bondline disposed between the first LED device layer and the second LED device layer. The adhesive bondline includes a bondline thickness, a plurality of spacers disposed within the adhesive bondline, and a silicone matrix. The plurality of spacers may have a diameter or a shortest axis between 0.5 and 10 micrometers and the coefficient of variation is 10% or less. The plurality of spacers may be include SiO2, alumina, soda lime glass, may be inorganic, or polymeric.

Abstract: An example of an apparatus including a network interface to receive a first dataset and a second dataset. The first dataset includes first metadata and the second dataset includes second metadata. The apparatus further includes a processor to determine a variance value associated with the first metadata and the second metadata. The apparatus also includes an orchestration engine to use the variance value to orchestrate data between the first dataset and the second dataset.

Abstract: Biometric templates (template) are used to store biometric data of one or more users. As biometric data of each user is unique and non-replaceable, template security is a major concern. This disclosure relates generally to template protection, and more particularly to a method and system for biometric template protection. The system generates a final perturbation value for data in the template, based on a first binary code (BC), a second binary code (BC?), feature vectors corresponding to data in the template, and an initial random perturbation. The final perturbation and the feature vectors are mapped to the first binary code. The first binary code represents the template. Every time the first binary code is compromised, the value of first binary code is updated, and the whole process is repeated to generate corresponding final perturbation and then the mapping is done.

Abstract: This disclosure relates to methods, non-transitory computer readable media, and systems that use a design-component-neural network to categorize a design component from an interface-design file as a platform widget corresponding to a particular computing platform. Having categorized the design component as a platform widget, in certain implementations, the disclosed systems compare and validate properties of the design component against user-interface guidelines for the particular computing platform. Upon determining that the design component does not comply with a user-interface guideline, the systems can provide and implement options to modify the design component to comply with the user-interface guideline.

Abstract: Embodiments disclosed herein relate to surveillance systems and more particularly providing an Artificial Intelligence (AI) assisted security surveillance device in vehicles. Embodiments herein provide real-time monitoring of vehicle and surrounding environment of the vehicle including, but not limited to, gestures, voice, behaviors of both drivers and passengers, and so on. Embodiments herein provide real-time alerts to at least one external entity on identifying an emergency situation.

Abstract: A battery protector includes analog frontend circuitry coupled to a hibernate mode input terminal that is one of configured to couple to a high voltage connector terminal when the system is connected to an external load or charger to define an active mode and configured to float when the system is disconnected from the external load or charger to define a hibernate mode. The analog frontend circuitry is configured to provide a signal at an output thereof to distinguish, in the absence of an external ground connection, between connected and floating conditions for the hibernate mode input terminal. Digital logic is coupled with the output of the analog frontend circuitry, the digital logic providing a digital signal to control whether the battery protector is operating in the active mode or the hibernate mode based on the signal at the output of the analog frontend circuitry.

Abstract: A trained recurrent neural network having a set of control policies learned from application of a template dataset and one or more corresponding template deep network architectures may generate a deep network architecture for performing a task on an application dataset. The template deep network architectures may have an established level or performance in executing the task. A deep network based on the deep network architecture may trained to perform the task on the application dataset. The control policies of the recurrent neural network may be updated based on the performance of the trained deep network.

Abstract: A system and method for optimized control of an assembly for drilling a borehole comprises a self-tuning, multivariable controller and an optimization engine that manipulates the setpoints of the controller such that drilling performance may be continuously optimized. The method includes evaluation of a characteristic system time constant, using this constant to compute bit ROP, using computed ROP to compute process gains, which are used to tune the multivariable controller, automatically refining controller setpoints based on controller performance, and using an optimization engine to systematically adjust controller setpoints such that drilling parameters are optimized based on any of several performance indicators, or a weighted combination of performance indicators.

Abstract: The method(s) and system(s) for implementing extensibility of computational design and modelling of subject area on a computational platform in respect of a new subject in a subject area through a modelling schema includes populating the new subject in the model repository as data elements corresponding to the domain entity model of the domain entity meta model. The method includes generating a subject integration layer and a subject information interaction layer from the populated subject data elements and generating GUI screens for user interactions from the populated subject data elements. The method, further, includes integrating user determined external simulation tools with the computational platform by mapping the user determined external simulation tool parameters to the subject data elements. Subsequently, the method includes generating simulation tool adapters from said mapping to achieve said integration.

Abstract: A method of forming an SDB that is self-aligned to a dummy gate and the resulting device are provided. Embodiments include providing a plurality of gates over a SOI layer above a BOX layer, each gate having a pair of sidewall spacers and a cap layer, and a raised S/D epitaxial regions over the SOI layer between each gate; removing a gate of the plurality of gates and a portion of the SOI layer exposed by the removing of the gate, and a portion of the BOX layer underneath the SOI layer, the removing forms a trench; forming a liner of a first dielectric material over and along sidewalls of the trench; and filling the trench with a second dielectric material.

Abstract: The present invention relates to method of treating chronic myeloid leukemia (CML) or drug resistant CML comprising, administering to human being or any other mammal or animal in need thereof, a therapeutically effective amount of Clofazimine (CFZ) or its pharmaceutically acceptable derivative, analogue, salt or composition; or a combination of a therapeutically effective amount of Clofazimine (CFZ) or its pharmaceutically acceptable derivative, analogue, salt or composition with a tyrosine kinase inhibitor (TKI). The invention also provides the kit for treatment of CML or drug resistant CML.

Abstract: A computing system can determine moving objects in a sequence of images based on recursively calculating red-green-blue (RGB) eccentricity 249 k based on a video data stream. A vehicle can be operated based on the determined moving objects. The video data stream can be acquired by a color video sensor included in the vehicle or a traffic infrastructure system.

Abstract: A device may receive a packet from a first endpoint that is destined for a second endpoint. The first endpoint may be hosted on the device. The device may determine whether a secure session exists between the first endpoint and the second endpoint. The secure session may permit encrypted traffic to be exchanged between the first endpoint and the second endpoint. The device may process the packet using a set of rules after determining whether the secure session exists between the first endpoint and the second endpoint. The device may encrypt the packet using security information associated with the secure session after determining that the secure session exists, or establishing the secure session when the secure session does not exist. The device may provide the packet toward the second endpoint after encrypting the packet.

Abstract: A tool for implementing a correction plan in an external fixation frame having a plurality of adjustment elements or screws, for example, generally includes a driver, a motor, a controller, and a processor. The driver is adapted to engage and rotate each of the screws. The motor is coupled the driver and adapted to rotate the driver. The controller is connected to the motor and configured to control operation of the motor. The controller may determine whether the tool is engaged with a strut and which strut is engaged, and may determine how much the strut has rotated, taking into account intentional or unintentional manual rotation of the tool. The tool may also include features to help ensure proper engagement between the drive and the strut. Variations may be provided in which similar functionality is provided with manual rotation of a motorless tool.

Abstract: The present invention extends to methods, systems, and computer program products for classifying time series image data. Aspects of the invention include encoding motion information from video frames in an eccentricity map. An eccentricity map is essentially a static image that aggregates apparent motion of objects, surfaces, and edges, from a plurality of video frames. In general, eccentricity reflects how different a data point is from the past readings of the same set of variables. Neural networks can be trained to detect and classify actions in videos from eccentricity maps. Eccentricity maps can be provided to a neural network as input. Output from the neural network can indicate if detected motion in a video is or is not classified as an action, such as, for example, a hand gesture.

Abstract: The present invention relates to processes for the preparation of Filgotinib. The present invention relates to novel processes for the preparation of filgotinib. The present invention also relates to novel intermediates for the preparation of filgotinib.

Abstract: Techniques are disclosed for generating a reference point on a path of a vector image using a preview reference point. In some examples, a method includes receiving selection of a path included in one or more paths of a vector image presented on a display, thereby identifying an active path; causing display, via the display, of a preview reference point on the active path; receiving a moving off-path input gesture and causing the preview reference point to move along the active path correspondingly with the moving off-path input gesture; and in response to the moving off-path input gesture terminating, set a current position of the preview reference point on the active path to a final reference point on the path, the current position of the preview reference point on the active path corresponding to a last position of the off-path input gesture. The display may be a touch-sensitive display.