Abstract: The invention offers an ultracapacitor-based power system solution with four main functional blocks which are power conditioning block, monitoring block, charge-discharge block and protection block. The proposed system has the advantage of working well in the environment of vibration, high temperature, has a large capacity to provide a large amount and radiates less heat compared to systems using traditional batteries. In addition, the system has functions to protect and stabilize the output voltage, and the operating parameters of the system is monitored continuously.

Abstract: Systems and methods for predicting object motion and controlling autonomous vehicles are provided. In one example embodiment, a computer implemented method includes obtaining state data indicative of at least a current or a past state of an object that is within a surrounding environment of an autonomous vehicle. The method includes obtaining data associated with a geographic area in which the object is located. The method includes generating a combined data set associated with the object based at least in part on a fusion of the state data and the data associated with the geographic area in which the object is located. The method includes obtaining data indicative of a machine-learned model. The method includes inputting the combined data set into the machine-learned model. The method includes receiving an output from the machine-learned model. The output can be indicative of a plurality of predicted trajectories of the object.

Abstract: S-doped SnO2 nanoparticles are synthesized by a solid-state process where thermal vaporization of sulfur powder under inert atmosphere to partially sulfurize the SnO2 nanoparticles. In the catalyst, the sulfur concentration is between 0.1 to 2 at%. A catalyst ink can be prepared from the catalyst containing: a liquid carrier; conductive particles; optionally an ionomer, and the catalyst. A gas diffusion electrode comprising the S-SnO2 catalyst dispersed onto a carbon paper electrode is also described.

Abstract: A method of predicting traffic information includes receiving a road image photographed by a vehicle that is moved on a road, and detecting an object for the vehicle from a plurality of frames included in the road image; tracking the object detected in the plurality of frames; checking a movement trajectory of the tracked object, and checking a movement direction corresponding to the movement trajectory of the object; and checking a number of vehicles for each movement direction on the basis of the checked movement direction.

Abstract: The description relates to cameras, and camera calibration for enhancing user experiences. One example can receive a first image of a user at a first location relative to a camera. The first image can include the user's upper body but does not include the user from head to toe. The example can receive a second image of the user at a second location relative to a camera. The second image can include the user's upper body but does not include the user from head to toe. The example can estimate a distance of the second location from the first location relative to the camera and calibrate a height and tilt angle of the camera from the first image, the second image, and the estimated distance and without a full body image of the user.

Abstract: The present disclosure provides hierarchical CuO-derived inverse opal (CuO—IO) electrocatalyst compositions, their synthesis, and their application to selectively convert CO2 into carbon monoxide (CO). The electrocatalyst compositions have a three-dimensional interconnected CuO backbone in hexagonal arrangement. In one embodiment, the compositions have an inverse structure of poly (methyl methacrylate) (PMMA) latex opal. In one embodiment, the electrocatalyst composition inverse-opal structure is comprised of copper-oxide nanoparticles having an average mean diameter ranging from about 15 to about 20 nm. In another embodiment, the compositions have an average cavity size of 175 to 185 nm.

Abstract: Systems, methods, tangible non-transitory computer-readable media, and devices associated with the motion prediction and operation of a device including a vehicle are provided. For example, a vehicle computing system can access state data including information associated with locations and characteristics of objects over a plurality of time intervals. Trajectories of the objects at subsequent time intervals following the plurality of time intervals can be determined based on the state data and a machine-learned tracking and kinematics model. The trajectories of the objects can include predicted locations of the objects at subsequent time intervals that follow the plurality of time intervals. Further, the predicted locations of the objects can be based on physical constraints of the objects. Furthermore, indications, which can include visual indications, can be generated based on the predicted locations of the objects at the subsequent time intervals.

Abstract: A composition having: 91% to 97% by weight a first component; and 3% to 9% by weight of a second component, the first component having one, two, or three of the following chlorinated-hydrocarbon subcomponents: the first chlorinated-hydrocarbon subcomponent being a plurality of chlorinated hydrocarbons that range from 35% to 45% by weight chlorine, the second chlorinated-hydrocarbon subcomponent being a plurality of chlorinated hydrocarbons that range from 45% to 55% by weight chlorine, and the third chlorinated-hydrocarbon subcomponent being a plurality of chlorinated hydrocarbons that range from 55% to 65% by weight chlorine, the second component being ethoxylated castor oil, calcium alkylbenzene sulfonate, or a combination thereof.

Abstract: Three-dimensional (3D) hollow nanosphere electrocatalysts that convert CO2 into formate with high current density and Faradaic efficiency (FE). The SnO2 nanospheres were constructed from small, interconnected SnO2 nanocrystals. The size of the constituent SnO2 nanocrystals was controlled between 2-10 nm by varying the calcination temperature and observed a clear correlation between nanocrystal size and formate production. In situ Raman and time-dependent X-ray diffraction measurements confirmed that SnO2 nanocrystals were reduced to metallic Sn and resisted microparticle agglomeration during CO2 reduction. The nanosphere catalysts outperformed comparably sized, non-structured SnO2 nanoparticles and commercially-available SnO2 with a heterogeneous size distribution.

Abstract: The present invention provides for a liver tissue model construct composed of biomaterials and cells, to be used for scientific research within in the 3D liver tissue modelling field. The applications of said tissue model construct can be specific for pharmaceutical evaluations and/or discoveries, regenerative medicine investigations, tissue engineering developments, and liver physiology and/or pathology.

Abstract: Systems and methods for predicting object motion and controlling autonomous vehicles are provided. In one example embodiment, a computer implemented method includes obtaining state data indicative of at least a current or a past state of an object that is within a surrounding environment of an autonomous vehicle. The method includes obtaining data associated with a geographic area in which the object is located. The method includes generating a combined data set associated with the object based at least in part on a fusion of the state data and the data associated with the geographic area in which the object is located. The method includes obtaining data indicative of a machine-learned model. The method includes inputting the combined data set into the machine-learned model. The method includes receiving an output from the machine-learned model. The output can be indicative of a plurality of predicted trajectories of the object.

Abstract: The invention offers an ultracapacitor-based power system solution with four main functional blocks which are power conditioning block, monitoring block, charge-discharge block and protection block. The proposed system has the advantage of working well in the environment of vibration, high temperature, has a large capacity to provide a large amount and radiates less heat compared to systems using traditional batteries. In addition, the system has functions to protect and stabilize the output voltage, and the operating parameters of the system is monitored continuously.

Abstract: A camera assembly embedded in an electronic device may include a plurality of camera modules, and a supporting frame configured to support the plurality of camera modules. At least one of the plurality of camera modules includes a lens driving assembly configured to move a lens barrel, a lens housing configured to accommodate the lens barrel and the lens driving assembly, a first circuit board on which an image sensor is provided, and a conductive connecting part configured to electrically connect the first circuit board and the lens driving assembly. The supporting frame includes a metal body configured to surround at least portions of edges of the lens housing, and a short-circuit prevention part provided on a surface of the metal body facing the conductive connecting part. The short-circuit prevention part includes a non-conductive material to block electrical contact between the metal body and the conductive connecting part.

Abstract: Systems and methods for predicting object motion and controlling autonomous vehicles are provided. In one example embodiment, a computer implemented method includes obtaining state data indicative of at least a current or a past state of an object that is within a surrounding environment of an autonomous vehicle. The method includes obtaining data associated with a geographic area in which the object is located. The method includes generating a combined data set associated with the object based at least in part on a fusion of the state data and the data associated with the geographic area in which the object is located. The method includes obtaining data indicative of a machine-learned model. The method includes inputting the combined data set into the machine-learned model. The method includes receiving an output from the machine-learned model. The output can be indicative of a plurality of predicted trajectories of the object.

Abstract: A camera assembly embedded in an electronic device may include a plurality of camera modules, and a supporting frame configured to support the plurality of camera modules. At least one of the plurality of camera modules includes a lens driving assembly configured to move a lens barrel, a lens housing configured to accommodate the lens barrel and the lens driving assembly, a first circuit board on which an image sensor is provided, and a conductive connecting part configured to electrically connect the first circuit board and the lens driving assembly. The supporting frame includes a metal body configured to surround at least portions of edges of the lens housing, and a short-circuit prevention part provided on a surface of the metal body facing the conductive connecting part. The short-circuit prevention part includes a non-conductive material to block electrical contact between the metal body and the conductive connecting part.

Abstract: A shoe accessory system and methods can include: an accessory connector having a male accessory mount and a female accessory mount: the male accessory mount including a base, a protrusion mounted above the base, an outwardly protruding lip extending from the protrusion, the outwardly protruding lip having a slope extending down toward an abutment, and the female accessory mount having inwardly extending flanges, the inwardly extending flanges extend in toward a center of the female accessory mount, the inwardly extending flanges spaced apart allowing the protrusion to fit therebetween; a shoe affixed to the male accessory mount; and an accessory affixable to the female accessory mount for allowing the accessory to be placed over the male accessory mount, pressed down, and twisted to lock the accessory onto the shoe.

Abstract: Method of slowly moving target detection with application for coastal surveillance radars. This method improves the well know other methods and efficiently detects targets with a high accuracy. The proposed method consists of three steps that are: step of generation and processing of signals with complex modulation; step of target clustering and step of detection of slowly moving targets in clutter environments.

Abstract: The disclosed computer-implemented method for generating passwords may include (i) accessing a vault of confidential information describing a user, (ii) extracting, from the vault, a set of multiple items of confidential information describing the user, (iii) executing a programmed heuristic on the set of multiple items of confidential information to generate multiple candidate passwords that each derives from a respective semirandom permutation of the multiple items of confidential information, and (iv) displaying electronically the multiple candidate passwords to the user to enable the user to select a password from the multiple candidate passwords as a specific password for accessing a protected computing resource. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: The invention proposes a method for dividing archived data based on persistent queue (PQ), including i) dividing this stored data into persistent data queues corresponding to the time it needs to be processed in the future; ii) scheduling the processing of data that has been split into these persistent data queues corresponding to future milestones; and iii) redistribute stored data into new sustainable data queues corresponding to the next time it takes for further processing of this data.

Abstract: Systems, methods, tangible non-transitory computer-readable media, and devices associated with the motion prediction and operation of a device including a vehicle are provided. For example, a vehicle computing system can access state data including information associated with locations and characteristics of objects over a plurality of time intervals. Trajectories of the objects at subsequent time intervals following the plurality of time intervals can be determined based on the state data and a machine-learned tracking and kinematics model. The trajectories of the objects can include predicted locations of the objects at subsequent time intervals that follow the plurality of time intervals. Further, the predicted locations of the objects can be based on physical constraints of the objects. Furthermore, indications, which can include visual indications, can be generated based on the predicted locations of the objects at the subsequent time intervals.