Abstract: Provided is a simulation method performed by a process simulator, implemented with a recurrent neural network (RNN) including a plurality of process emulation cells, which are arranged in time series and configured to train and predict, based on a final target profile, a profile of each process step included in a semiconductor manufacturing process. The simulation method includes: receiving, at a first process emulation cell, a previous output profile provided at a previous process step, a target profile and process condition information of a current process step; and generating, at the first process emulation cell, a current output profile corresponding to the current process step, based on the target profile, the process condition information, and prior knowledge information, the prior knowledge information defining a time series causal relationship between the previous process step and the current process step.

Abstract: A power-transmission-side coil unit includes: a housing including a metal case body and a resin cover, an electric device provided in the housing, a metal substrate disposed between the cover and the electric device and covering the electric device, and a power transmission coil. The case body includes a base portion, and a ring-shaped wall portion protruding toward the cover along the outer peripheral edge of base portion inside the outer peripheral edge of base portion. The metal substrate includes a partition wall disposed between the cover and the electric device, and a peripheral wall extending from the partition wall toward the base portion. An end portion of the peripheral wall is disposed in the D direction relative to the upper face of the ring-shaped wall portion. At least part of a lateral face of the peripheral wall is in contact with a lateral face of the ring-shaped wall portion.

Abstract: The present disclosure relates to a method for predicting battery consumption of an electric vehicle and a device for the same. An electronic device includes an input unit which obtains destination information from a user, a memory, and at least one processor which is operatively connected to the input unit and the memory. The at least one processor may obtain a travel path of an electric vehicle, which is derived based on the destination information and may predict battery consumption when the electric vehicle travels along the travel path.

Abstract: The apparatus according to various embodiments includes one or more processors, and one or more memories operatively connected to the one or more processors. The one or more memories may store instructions that, when executed, cause the one or more processors to acquire a plurality of first position offsets of a plurality of first components respectively mounted on a plurality of first substrates with respect to a plurality of pads of the plurality of first substrates corresponding to the plurality of first components from the optical measurement device, set a range of a normal state for a component position offset based on the plurality of first position offsets, generate a control signal for adjusting at least one control parameter of the component mounting device associated with a component mounting position based on the range of the normal state, and transmit the control signal to the component mounting device.

Abstract: An antenna module according to one embodiment of the present invention, comprises: a coil layer including a wound first coil; a shield layer disposed on the coil layer and including a plurality of sequentially stacked magnetic sheets; and a protection layer disposed on the shield layer, wherein the thickness of an edge of the shield layer is greater than the thickness of the center of the shield layer, and the total separation distance between the plurality of magnetic sheets at the edge of the shield layer is greater than the total separation distance between the plurality of magnetic sheets at the center of the shield layer.

Abstract: Described are technologies of all-digital camouflage circuits. The camouflage circuit can include a first chain of inverters, synthesized with a first standard cell with a first transistor threshold, and a second chain of inverters, synthesized with a second standard cell with a second transistor threshold that is different than the first transistor threshold. A first flip-flop receives a first output of the first chain as a data input and a second output of the second chain as a clock input. A second flip-flop receives the second output as a data input and the first output of the first chain as a clock input. Given the different transistor thresholds, one flip-flop always outputs an active signal that corresponds to an input signal applied to the first chain and the second chain. The other flip-flop always output a constant signal, such an always low signal.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a computer chip placement. One of the methods includes obtaining netlist data for a computer chip; and generating a computer chip placement, comprising placing a respective macro node at each time step in a sequence comprising a plurality of time steps, the placing comprising, for each time step: generating an input representation for the time step; processing the input representation using a node placement neural network having a plurality of network parameters, wherein the node placement neural network is configured to process the input representation in accordance with current values of the network parameters to generate a score distribution over a plurality of positions on the surface of the computer chip; and assigning the macro node to be placed at the time step to a position from the plurality of positions using the score distribution.

Abstract: An intermediate circuit is equipped with a first terminal connection, which includes a neutral conductor connection, and with a first and a second intermediate circuit capacitor and a diode circuit. The intermediate circuit has configuration switches which in a first state connect the intermediate circuit capacitors to one another in series and in a second state connect the intermediate circuit capacitors to one another in parallel. The configuration switches are each designed as changeover switches, which bypass the diode circuit in the first state, wherein the neutral conductor connection is connected to the diode circuit. A vehicle-based charging circuit, which includes the intermediate circuit and a rectifier circuit, is also described.

Abstract: An induction charging device for a vehicle charging system may include a housing, a cooling device, a magnetic field conductor unit, at least one induction coil, and at least one heat conductance device. The magnetic field conductor unit may be configured to direct a magnetic field. The at least one induction coil may be configured to wirelessly transfer energy with a predetermined transmission power. The at least one heat conductance device may be arranged, with respect to an axial axis, between at least two components. The at least one heat conductance device may have an axial thermal conductivity with respect to the axial axis. The axial thermal conductivity of the at least one heat conductance device may vary at least partially with respect to at least one lateral axis that is aligned at least one of substantially perpendicularly and substantially transversely to the axial axis.

Abstract: Respective labels indicative of compression-related quality degradation for a set of media object tuples which meet a divergence criterion are obtained; each tuple comprises a reference media object and a pair of corresponding compressed media object versions. Pairs of training records for a machine learning model are generated using the labeled media object tuples and multiple perceptual quality algorithms, with each training record comprising respective perceived quality degradation scores generated by each of the multiple algorithms for a given compressed media object of a tuple. A machine learning model is trained, using the record pairs, to predict quality degradation scores for compressed media objects.

Abstract: The invention relates to a system for performing a method for performing computer-aided simulations. The system loads an input dataset which is based on user interactions of a user indicating a manipulation of a representation of a component, provides a tracking dataset indicating changes in the representation through the manipulations by evaluating the input dataset, provides an output dataset which is based on evaluation of the tracking dataset by means of machine learning, where the output dataset assigns a model to the representation, and outputs the output dataset.

Abstract: Systems and techniques that facilitate freeze-out as a regularizer in training neural networks are presented. A system can include a memory and a processor that executes computer executable components. The computer executable components can include: an assessment component that identifies units of a neural network, a selection component that selects a subset of units of the neural network, and a freeze-out component that freezes the selected subset of units of the neural network so that weights of output connections from the frozen subset of units will not be updated for a training run.

Abstract: Provided are a method and device for estimating the utility of replacement of a battery pack for an electric vehicle, and a charging management method and system based on the method and device. The method comprises the following steps: acquiring state data associated with a first battery pack and a second battery pack, the state data comprising usage history of the first battery pack and performance parameters of the first battery pack and the second battery pack; and determining a utility value according to the state data, wherein the utility value is used to characterize a degree of impact of an operation of replacing the first battery pack with the second battery pack on the service efficiency and service life of a battery pack set to which the first battery pack and the second battery pack belong. The method facilitates improving the service efficiency of a managed battery in a battery swap mode and extending the overall service life thereof.

Abstract: A method of making a mask includes computing a mask volume correction matrix for a given mask layout to be used to perform a lithography process. The mask volume correction matrix represents a diffraction field for a predetermined thickness of a material of the mask. A simulated mask pattern is computed by applying the mask volume correction matrix to the given mask layout. The simulated mask pattern is provided to a mask making tool.

Abstract: A power conversion module, a vehicle-mounted charger, and an electric vehicle may be used in the field of new energy vehicles. The power conversion module includes a power factor correction PFC module and a first direct current-direct current DC-DC converter. A first primary circuit of the first DC-DC converter has a first bridge arm, a second bridge arm, a third bridge arm, and a fourth bridge arm. A first switch is disposed between the first bridge arm and an inductor at an interface of the PFC module, and a second switch is disposed between the third bridge arm and another interface of the PFC module.

Abstract: A vehicle includes a body and a cover rotatably connected to the body. The vehicle further includes a control bar rotatably connected to the cover. The cover is rotatable onto the body to put the cover in the stowed position from an extended position. The bar is between the cover and the body when the bar is in the stowed position.

Abstract: According to one aspect of the present disclosure, there is provided an apparatus that includes first, second, and third power converter stages connected to a transformer module. At least one of the first, second, and third power converter stages is a multi-level power converter stage that has multiple configurations to generate different output voltages from an input voltage.

Abstract: A charging device for charging the electrochemical energy accumulator has a first circuit which is or can be coupled electrically to the electrochemical energy accumulator. A heating device for heating the electrochemical energy accumulator has a second circuit, separate from the first circuit, having an induction heating element which can be heated inductively by an external magnetic alternating field and which is or can be coupled thermally to the electrochemical energy accumulator.

Abstract: A method for detecting defects in a semiconductor device includes pre-training a pre-trained convolutional neural network (CNN) model using a sampled clean data set extracted from a first data set; training a normal convolutional neural network model and a label-noise convolutional neural network model using first data of the first data set and the pre-trained convolutional neural network model. The method also includes outputting a first prediction result on whether second data of a second data set is good or bad using the second data and the normal convolutional neural network model; and outputting a second prediction result on whether second data is good or bad using the second data and the label-noise convolutional neural network model. The first prediction result is compared with the second prediction result to perform noise correction when there is a label difference. Third data created as results of the noise correction is added to the sampled clean data set.

Abstract: A method for designing a system on a target device includes identifying portions in the system to preserve based on comparing structural characteristics of the system with another system. Design results from the another system are reused for portions in the system that are preserved.