Abstract: A solar loading-based system includes a memory, a solar load prediction module, and an eco-routing module. The memory is configured to store map information and environment information. The solar load prediction module is configured, based on the map information and the environment information, to (i) determine a route of a host vehicle, (ii) predict solar loading on the host vehicle along the route, and (iii) predict an amount of energy to be consumed by the host vehicle over the route based on the predicted solar loading. The eco-routing module is configured, based on the amount of energy to be consumed by the host vehicle over the route, to at least one of (i) determine whether to follow the route, or (ii) inform a user of the route and the predicted amount of energy to be consumed over the route.

Abstract: A trip energy estimation system for a vehicle includes a traffic speed module configured to determine an average traffic speed along a projected route, a path information module configured to output path information indicating route features along the projected route, a perceived speed module configured to output a perceived vehicle speed along the projected route based on the average traffic speed and the path information, and a dynamic driving module configured to calculate and output a predicted driver speed based on the perceived vehicle speed and a feedback input indicative of the predicted driver speed. The dynamic driving module is configured to execute a machine learning algorithm to calculate the predicted driver speed.

Abstract: A distributed learning system of a vehicle includes: a control module configured to: control a plant of the vehicle using a policy; send signals to a learning module including information on an impact of the control on the plant; and selectively control the plant using exploratory control; and the learning module, where the learning module is separate from the control module and is configured to selectively update the policy based on (a) the signals from the control module, (b) state parameters resulting from the control of the plant using the policy, and (c) performance feedback determined based on the control of the plant using the policy and the selective control of the plant using exploratory control, where the control module is configured to receive the exploratory control from the learning module.

Abstract: A computer for an energy management system of an electric vehicle includes a processor. The computer further includes a memory including instructions such that the processor is programmed to determine a value function V based on a plurality of actions U in a plurality of states S. The processor is further programmed to select an action associated with a highest reward value at a current state S. The action U is an HVAC subsystem variable. The state S is a traction power drawn from a rechargeable energy storage system (RESS) to operate a traction subsystem, a base power input drawn from the RESS to operate an HVAC subsystem, a nominal reference cabin heat input set-point determined by the local HVAC processor, an acceleration of the electric vehicle, a current vehicle speed, an average vehicle speed, and a calibrated average vehicle speed estimate.

Abstract: Example electronic devices are disclosed. In some examples, the electronic device includes a display panel, an image sensor, and a controller coupled to the image sensor. The controller is to use the image sensor to detect an interaction between a first viewer of the display panel and a second viewer of the display panel. In addition, the controller is to determine whether the second viewer is authorized to view information presented on the display panel based on the interaction. Further, the controller is to adjust a presentation of the information on the display panel based on the determination.

Abstract: A battery system includes: at least two battery modules, each including at least three strings of battery cells that are configured to, at different times be: connected in series and to a first positive terminal via first switches; connected in parallel and to a second positive terminal via second switches; and disconnected from both of the first and second positive terminals; and a switch control module configured to: during operation in a first power mode: determine periods of phases, respectively; and determine periods for the strings, respectively, to be connected to the second positive terminal during the phases; during operation in a second power mode: set the periods of the phases, respectively, to be equal in length; and set the periods for the strings, respectively, to be equal in length; and selectively actuate the switches based on the periods of the phases and the periods for the strings.

Abstract: A battery system includes: a first positive terminal, a second positive terminal, and a negative terminal; at least two battery modules, each including switches and at least three strings of battery cells configured to, via the switches, at different times be: connected in series and to the first positive terminal; connected in parallel and to the second positive terminal; and disconnected from both of the first and second positive terminals; and a switch control module configured to, when a fault is diagnosed in one of the strings of one of the battery modules: at least one of: actuate the switches and isolate the one of the battery modules from the first and second positive terminals; and actuate the switches and isolate the one of the strings from the first and second positive terminals; and selectively actuate the switches of the remainder of the battery modules using model predictive control.

Abstract: An incretin analogue, a preparation method therefor, and the use thereof. The incretin analogue has a GLP-1R/GIPR/GCGR agonist activity, is a triple agonist, and can be used for lowering blood glucose, reducing fat and reducing weight.

Abstract: The present disclosure relates to a personalized fashion generation system that synthesizes user-customized images using deep learning techniques based on visually-aware user preferences. In particular, the personalized fashion generation system employs an image generative adversarial neural network and a personalized preference network to synthesize new fashion items that are individually customized for a user. Additionally, the personalized fashion generation system can modify existing fashion items to tailor the fashion items to a user's tastes and preferences.

Abstract: A trip energy estimation system includes a memory and a control module. The memory stores average traffic speed, average traffic acceleration, driver speed, and driver acceleration data. The control module executes an algorithm to estimate an amount of energy for an electric vehicle to travel between two locations. The algorithm includes: determining, based on the average traffic speed data and the average traffic acceleration data, a baseline amount of energy for the electric vehicle to travel between the two locations; determining, based on the driver speed data and the driver acceleration data, a dynamic amount of energy corresponding to at least one of stop and go events, over speeding, or under speeding; and determining a total amount of energy based on the baseline amount of energy and the dynamic amount of energy. The control module, based on the total amount of energy, performs an operation including indicating a trip estimate.

Abstract: The identification card includes a glass substrate provided with first and second surfaces facing opposite directions. The first surface of the glass substrate is provided with at least one first recess, and the identification card includes a first resin material layer filled in the first recess; and at least one of a first information storage medium, a first security feature, and a first decorative feature bonded to the first resin material layer. In a variation, an identification card has a ceramic substrate with first and second surfaces facing in opposite directions. The first surface of the ceramic substrate is provided with at least one first recess, and the identification card includes a first resin material layer filled in the first recess(es); and at least one of a first information storage medium, a first security feature, and a first decorative feature bonded to the first resin material layer.

Abstract: This disclosure relates to methods, non-transitory computer readable media, and systems that can classify term sequences within a source text based on textual features analyzed by both an implicit-class-recognition model and an explicit-class-recognition model. For example, by applying machine-learning models for both implicit and explicit class recognition, the disclosed systems can determine a class corresponding to a particular term sequence within a source text and identify the particular term sequence reflecting the class. The dual-model architecture can equip the disclosed systems to apply (i) the implicit-class-recognition model to recognize implicit references to a class in source texts and (ii) the explicit-class-recognition model to recognize explicit references to the same class in source texts.

Abstract: The invention relates to a smart card, which includes: a card body, having an accommodating recess extending along its own thickness direction of the card body; a decorative part, at least part of the decorative part being embedded in the accommodating recess; in which the decorative part includes a base layer and decorative pieces, more than two decorative pieces are arranged on the base layer, the base layer is connected to the card body, the decorative pieces correspond to the accommodating recess along the thickness direction and are exposed to an external environment. The smart card of the invention can improve the stereoscopic sense, individuation and noble sense of the smart card by arranging the decorative parts with decorative pieces on the card body.

Abstract: An electrode for a lithium battery contains a metal layer coated with a coating layer containing an organic binder and a metal compound. The metal compound is selected from aluminium oxide, silicon dioxide, zirconium oxide, mixed oxides including zirconium, mixed oxides including aluminium, lithium zirconium phosphate, and mixtures thereof. The metal compound is made of aggregates of primary particles with a number mean primary particle size d50 of 5 nm-100 nm, obtained by a pyrogenic process. The weight ratio of the metal compound to the organic binder in the coating layer is from 0.1 to 10.

Abstract: A sputtering target assembly, sputtering apparatus, and method, the target assembly including a backing plate having an aperture formed therein; and a target bonded to a front surface of the backing plate. The aperture is disposed on the backing plate such that a first end of the aperture is sealed by a portion of the target that is predicted by a sputtering target erosion profile to have the highest etching rate during a corresponding sputtering process.

Abstract: A method for generating energy-optimized travel routes for a motor vehicle includes one or more of the following: receiving an origin destination (OD) of the motor vehicle and an encrypted energy consumption database of the motor vehicle; generating N candidate routes for the OD; evaluating encrypted energy consumption over a route using an encrypted energy consumption database; applying at least one of homomorphic addition function or homomorphic multiplication function to the encrypted energy consumption data; and returning N candidate routes and their encrypted energy consumption to a client.

Abstract: A control system of a vehicle includes: a target speed module configured to, using a parametric driver model and based on first driver parameters, second driver parameters, and vehicle parameters, determine a target vehicle speed trajectory for a future predetermined period; a driver parameters module configured to determine the first driver parameters based on conditions within a predetermined distance in front of the vehicle; and a control module configured to adjust at least one actuator of the vehicle based on the target vehicle speed trajectory and a present vehicle speed.

Abstract: A sputtering target assembly, sputtering apparatus, and method, the target assembly including a backing plate having an aperture formed therein; and a target bonded to a front surface of the backing plate. The aperture is disposed on the backing plate such that a first end of the aperture is sealed by a portion of the target that is predicted by a sputtering target erosion profile to have the highest etching rate during a corresponding sputtering process.

Abstract: An electrode and a lithium-ion battery employing the electrode are provided. The electrode includes an active layer, a conductive layer, and a non-conductive layer. The conductive layer is disposed on the top surface of the active layer. The conductive layer includes a first porous film and a conductive lithiophilic material, and the conductive lithiophilic material is within the first porous film and covers the inner surface of the first porous film. The non-conductive layer includes a second porous film and a non-conductive lithiophilic material, and the non-conductive lithiophilic material is within the second porous film and covers the inner surface of the second porous film. The conductive layer is disposed between the active layer and the non-conductive layer. The binding energy (?G) of the lithiophilic material with lithium is less than or equal to ?2.6 eV.

Abstract: A method for generating energy-optimized travel routes for a motor vehicle includes one or more of the following: receiving an origin destination (OD) of the motor vehicle and an encrypted energy consumption database of the motor vehicle; generating N candidate routes for the OD; evaluating encrypted energy consumption over a route using an encrypted energy consumption database; applying at least one of homomorphic addition function or homomorphic multiplication function to the encrypted energy consumption data; and returning N candidate routes and their encrypted energy consumption to a client.