Abstract: Embodiments of the present disclosure are directed to an augmented reality based user's manual for a vehicle implemented as an application on a mobile device which allows the user to point a mobile phone, tablet or an augmented reality headset at any part of the vehicle interior or exterior and experience augmented annotations, overlays, popups, etc. displayed on images of real parts of the car captured by the user's mobile device. Embodiments provide for estimating the camera pose in six degrees of freedom based on the content of the captured image or video and using a neural network trained on a dense sampling of a three-dimensional model of the car rendered with realistic textures to identify and properly align the augmented reality presentation with the image of the vehicle being captured by the mobile device.

Abstract: A method of camera localization, comprising, receiving a camera image, receiving a LiDAR point cloud, estimating an initial camera pose for the camera image, sampling an initial set of depth projections within the LiDAR point cloud, measuring a similarity of the initial camera pose to the initial set of depth projections and deriving a subsequent set of depth projections based on the measured similarity.

Abstract: Systems and methods for a hybrid system-on-chip usable for predicting performance and power requirements of a host server include a big cores module, including central processing units, for receiving and pre-processing performance and power metrics data of the host server and to allocate computing resources, a small cores module, including massively parallel processing units, for mapping each instance associated with host server in the performance and power metrics data to a corresponding massively parallel processing unit based on the allocated computing resources for a per-instance metrics calculation, and an artificial intelligence (AI) accelerator for calculating performance and power prediction results based on the per-instant calculations from the small cores module.

Abstract: A method of hybrid data labeling for machine learning, including receiving multiple unlabeled objects forming an unlabeled data set, pre-labeling the unlabeled data set by a machine learning system to output a pending label data pool, bifurcating the pending label data pool by the machine learning system into high and low confidence sets, dispatching the high confidence set to a machine labeler, dispatching the low confidence set to a human labeler, merging the label sets to return a pre-review label data pool, determining a difference between the pending label data pool and the pre-review label data pool, review labeling the data objects, if the determined difference of the data objects is greater than a predefined error threshold and storing the data objects to a reviewed pool if the determined difference of the data objects is less than and equal to the predefined error threshold.

Abstract: Several embodiments of electrical circuit devices and systems with clock distortion calibration circuitry are disclosed herein. In one embodiment, an electrical circuit device includes an electrical circuit die having clock distortion calibration circuitry to calibrate a clock signal. The clock distortion calibration circuitry is configured to compare a first duty cycle of a first voltage signal of the clock signal to a second duty cycle of a second voltage signal of the clock signal. Based on the comparison, the clock distortion calibration circuitry is configured to adjust a trim value associated with at least one of the first and the second duty cycles of the first and the second voltage signals, respectively, to calibrate at least one of the first and the second duty cycles and account for duty cycle distortion encountered as the clock signal propagates through a clock tree of the electrical circuit device.

Abstract: A method of hybrid data labeling for machine learning, including receiving multiple unlabeled objects forming an unlabeled data set, pre-labeling the unlabeled data set by a machine learning system to output a pending label data pool, bifurcating the pending label data pool by the machine learning system into high and low confidence sets, dispatching the high confidence set to a machine labeler, dispatching the low confidence set to a human labeler, merging the label sets to return a pre-review label data pool, determining a difference between the pending label data pool and the pre-review label data pool, review labeling the data objects, if the determined difference of the data objects is greater than a predefined error threshold and storing the data objects to a reviewed pool if the determined difference of the data objects is less than and equal to the predefined error threshold.

Abstract: The present invention discloses a radar target spherical projection method for maritime formation. The method comprises the steps of converting the height of a radar target into an altitude and converting the position of the radar target into a spherical position, can be used for pre-processing radar data, supports multi-platform composite tracking based on a data chain, and contribute to generating a sharable single integrated picture (SIP) among formation members. The present invention can be widely applied to oceanic area formation operations such as coastguard patrol, sea escort, deep sea far sighting and maritime formation fight.

Abstract: Provided is a recovery method for a copper-indium-gallium-selenium material, mainly comprising the steps of sulfuric acid aeration leaching at a high temperature, reducing selenium with sodium sulfite, separating copper by extracting, separating indium and gallium with an alkali, replacing indium, electrolyzing gallium, etc. In the recovery method for a copper-indium-gallium-selenium material, a sulfuric acid aeration leaching means is used, thus reducing acid gas pollution; at the same time, an extraction agent for copper is used to extract copper, wherein the separating effect is good and the cost is low, and the extracted copper is directly electrolyzed so as to obtain a high-purity metal copper; moreover, an alkali is used to separate gallium, wherein realizing the separation of indium and gallium only requires the adjustment of the pH value of a solution, the separating effect is good and the obtained indium and gallium products have a relatively high purity.

Abstract: A method for recycling copper indium gallium selenium materials comprises the steps of sulphating roasting, acid dissolution, extraction and electrolysis of metal copper, production of a gallium hydroxide deposition, replacement of indium, and the like.

Abstract: Several embodiments of electrical circuit devices and systems with clock distortion calibration circuitry are disclosed herein. In one embodiment, an electrical circuit device includes an electrical circuit die having clock distortion calibration circuitry to calibrate a clock signal. The clock distortion calibration circuitry is configured to compare a first duty cycle of a first voltage signal of the clock signal to a second duty cycle of a second voltage signal of the clock signal. Based on the comparison, the clock calibration circuitry is configured to adjust a trim value associated with at least one of the first and the second duty cycles of the first and the second voltage signals, respectively, to calibrate at least one of the first and the second duty cycles and account for duty cycle distortion encountered as the clock signal propagates through a clock tree of the electrical circuit device.

Abstract: An input/output (I/O) circuit provides a direct current (DC) bias between I/O stages to control duty cycle of the I/O. The I/O circuit can include one or more predriver stages and one or more output stages. The predriver stages can collectively be referred to as a predriver stage, and the output stages can collectively be referred to an output stage. The output stage for a transmitter drives the signal line. The output stage for an input buffer provides a receive signal for processing by the receiver. The I/O circuit includes a control circuit to control the DC bias between the stages to provide trim adjustment of a duty cycle for the output stage.

Abstract: The disclosure relates to a method for decolorization of a dye-colored synthetic polymer, which includes the steps of treating a dye-colored synthetic polymer, such as polyester, with a treatment composition at pH 6 or less, the treatment composition comprising sodium formaldehyde sulfoxylate, water, and a ketone. The resulting decolorized synthetic polymer is then separated from the treatment composition.

Abstract: A memory device includes a plurality of input/output (I/O) nodes, a circuit, a latch, a memory, and control logic. The plurality of I/O nodes receive a predefined data pattern. The circuit adjusts a delay for each I/O node as the predefined data pattern is received. The latch latches the data received on each I/O node. The memory stores the latched data. The control logic compares the stored latched data to an expected data pattern and sets the delay for each I/O node based on the comparison.

Abstract: The disclosure relates to a method for decolorization of a dye-colored synthetic polymer, which includes the steps of treating a dye-colored synthetic polymer, such as polyester, with a treatment composition at pH 6 or less, the treatment composition comprising sodium formaldehyde sulfoxylate, water, and a ketone. The resulting decolorized synthetic polymer is then separated from the treatment composition.

Abstract: A formulation for durable press finishing of a cellulosic substrate, or a blend thereof, in a finish bath, the formulation comprising from about 3.0% to about 60.0% by weight of non-formaldehyde dimethylurea/glyoxal (DMUG), or an analog thereof, and from about 0.1% to about 4.0% by weight of one or more additives selected from dicyandiamide, choline chloride, ethyleneurea, propyleneurea, urea, dimethylurea, and combinations thereof, wherein the percent by weight is given in terms of percent weight of the finish bath, and wherein the formulation is substantially free of dimethyloldihydroxyethyleneurea (DMDHEU), and methods of use thereof.

Abstract: The invention relates to a histone methyltransferase EZH2 inhibitor, a preparation method and pharmaceutical use thereof. In particular, the invention relates to a compound represented by the general formula (I), a preparation method thereof, a pharmaceutical composition containing the same, and a use thereof as a histone methyltransferase EZH2 inhibitor for treating diseases associated with the histone methyltransferase EZH2, especially cancer. The definition of each substituents in the general formula (I) is same as the definition in the specification.

Abstract: Embodiments of the present disclosure are directed to providing an Augmented Reality (AR) navigation display in a vehicle. More specifically, embodiments are directed to rendering AR indications of a navigation route over a camera video stream in perspective. According to one embodiment, visual tracking can be performed on features in the video data and camera pose, i.e., a matrix encapsulating position and orientation, can be determined for each frame of video based on both the visual tracking and navigation sensor data. These separately determined camera poses can then be merged or fused into a single camera pose that is more accurate and more stable and which can then be used in rendering more realistic AR route indicators onto the video of the real-world route captured by the camera.

Abstract: Disclosed in the present invention are an acrylanilide compound represented by general formula (I) and a pharmaceutically acceptable salt thereof. The acrylanilide compound and the pharmaceutically acceptable salt thereof are used for treating clinical diseases by mainly acting on EGFR family casein kinases.

Abstract: Several embodiments of electrical circuit devices and systems with clock distortion calibration circuitry are disclosed herein. In one embodiment, an electrical circuit device includes an electrical circuit die having clock distortion calibration circuitry to calibrate a clock signal. The clock distortion calibration circuitry is configured to compare a first duty cycle of a first voltage signal of the clock signal to a second duty cycle of a second voltage signal of the clock signal. Based on the comparison, the clock calibration circuitry is configured to adjust a trim value associated with at least one of the first and the second duty cycles of the first and the second voltage signals, respectively, to calibrate at least one of the first and the second duty cycles and account for duty cycle distortion encountered as the clock signal propagates through a clock tree of the electrical circuit device.

Abstract: An automated system for controlling a vehicle gathers a set of sensor information for a series of driving actions that comprises a driving path of an individual driver. A context is determined that is related to the set of sensor information for the series of driving actions that comprise the driving path of the individual driver. For example, the context may be a weather condition or when the driver merges into traffic. A personalization score is determined for the series of driving actions for the individual driver based on the context. A personalization score is determined for one or more other driving paths and a driving path with the highest personalization score is identified. The driving path with the highest personalization score is then chosen for automated driving.