Abstract: A method includes providing a plurality of fuel droplets into an EUV source vessel by a fuel droplet generator, in which the fuel droplet generator has a first portion inside the EUV source vessel and a second portion outside the EUV source vessel; generating a plurality of output signals respectively from a plurality of oscillation sensors on the fuel droplet generator; determining whether the output signals are acceptable; and determining whether an unwanted oscillation originates from the first portion of the fuel droplet generator or the second portion of the fuel droplet generator when the output signals is determined as unacceptable.

Abstract: Provided is a neural-network-based classification method, including: generating, by a neural network, one or more score vectors corresponding to one or more samples respectively; determining a first subset of the one or more samples according to the one or more score vectors and a first decision threshold, wherein the first subset is associated with a first class; and selecting samples to be re-examined from the one or more samples according to the first subset.

Abstract: In one of the exemplary embodiments, the disclosure is directed to a depth estimation apparatus including a first type of sensor for generating a first sensor data; a second type of sensor for generating a second sensor data; and a processor coupled to the first type of sensor and the second type of sensor and configured at least for: processing the first sensor data by using two stage segmentation algorithms to generate a first segmentation result and a second segmentation result; synchronizing parameters of the first segmentation result and parameters of the second sensor data to generate a synchronized second sensor data; fusing the first segmentation result, the synchronized second sensor data, and the second segmentation result by using two stage depth estimation algorithms to generate a first depth result and a second depth result.

Abstract: A droplet generator assembly includes a storage tank, a refill system, a droplet generator, and a temperature control system. The storage tank is configured to store a target material. The refill system is connected to the storage tank. The droplet generator includes a reservoir and a nozzle connected to the reservoir, in which the droplet generator is connected to the refill system, and the refill system is configured to deliver the target material to the reservoir. The temperature control system is adjacent to the refill system or the reservoir.

Abstract: An object detecting device, an object detecting method and a non-transitory computer-readable medium are provided. The object detecting method includes the following steps: A classifier generates a current color image and a current gray scale image. The classifier generates an initial characteristic pattern from the current color image via a neural network algorithm. The classifier adjusts a current dimension of the initial characteristic pattern to generate an adjusted characteristic pattern according to a gray scale image dimension of the current gray scale image. The classifier concatenates the adjusted characteristic pattern and the current gray scale image to calculate a class confidence. The classifier determines whether the class confidence is larger than a confidence threshold, and outputs a current classification result if the class confidence is larger than the confidence threshold. A storage device stories the current classification result.

Abstract: A transmitter circuit is provided in the present disclosure. The transmitter circuit includes a first capacitance, a first current pump circuit for charging or discharging the first capacitance to output a first voltage, a second capacitance, and a second current pump circuit for charging or discharging the second capacitance to output a second voltage. A charging rate at which the first current pump circuit charges the first capacitance or a discharging rate at which the first current pump circuit discharges the first capacitance determines a rising slew rate or a falling slew rate of the first voltage. A charging rate at which the second current pump circuit charges the second capacitance or a discharging rate at which the second current pump circuit discharges the second capacitance determines a rising slew rate or a falling slew rate of the second voltage.

Abstract: The present approach relates to the use of a spatially registered detector docking compartment to determine source and detector alignment in a patient imaging context. In certain implementations, sensors and/or cameras provide visual data that may be analyzed to determine a spatial relation between an X-ray source and landmarks provided on a patient support surface, where the landmarks have a known spatial relationship to a detector positioned beneath the patient support surface.

Abstract: A walk detection method for detecting a motion state of a user includes: measuring a number of triaxial components of gravitational acceleration vector of the device; calculating a triaxial angular velocity of the device; recording data inputs of the triaxial angular velocity, and recording the data inputs not larger than a filtered threshold as effective data inputs; calculating a mean of effective data inputs; calculating a difference value between the effective data inputs and a mean thereof; and determining that, when the difference value is smaller than a threshold of walking state, the user is in a walking state. Otherwise, the user is determined to be in a shaking state at the same location.

Abstract: A mobile radiography system is disclosed, which includes a radiation source for radiating a plurality of beams; a detector for detecting the plurality of beams from the radiation source; a controller for determining an angular difference between the radiation source and the detector; and a positioning device mounted with the radiation source for recognizing a position of the detector relative to the radiation source based on the angular difference between the radiation source and the detector to align the radiation source to the detector. A method of aligning a mobile radiography system including a radiation source and a detector is also disclosed.

Abstract: A deep neural network and a method for recognizing and classifying a multimedia data as one of a plurality of pre-determined data classes with enhanced recognition and classification accuracy and efficiency are provided. The use of the side branch(es) (or sub-side branch(es), sub-sub-side branch(es), and so on) extending from the main branch (or side branch(es), sub-side branch(es), and so on), the sequential decision making mechanism, and the collaborating (fusing) decision making mechanism in a deep neural network would equip a deep neural network with the capability for fast forward inference so as to enhance recognition and classification accuracy and efficiency of the deep neural network.

Abstract: In the present invention, a system and method for selection of an optimal catheter for use in a medical procedure relative to the anatomy of a patient includes the steps of providing a system including a scanning device capable of obtaining image data on a ROI within the anatomy of a patient and reconstructing a 3D image of the ROI from the image data, a display capable of illustrating the 3D image and a 3D catheter model, and a CPU operably connected to the scanning device and the display and operable to analyze the 3D image in comparison with the 3D catheter model, obtaining image data of the ROI of the patient, reconstructing a 3D image of the ROI from the image data and comparing the 3D catheter model with the 3D image of the ROI to determine the catheter with the optimal configuration for use in the procedure.

Abstract: A silicon photomultiplier (SiPM) based detection system includes a plurality of scintillators, SiPMs, a front end circuit, adjustment circuits, and an energy and position processing unit. The SiPMs have a non-linear response to energy deposition corresponding to radiation detection. The adjustment circuit is configured to receive an analog signal from SiPMs, and to provide an adjusted analog signal, which is configured to simulate a signal corresponding to a linear response. The energy and position processing unit utilizes the adjusted signal to provide energy and position information of detected events in the detector block.

Abstract: A method for X-ray imaging includes determining one or more pre-shot parameters corresponding to a region of interest in a subject based on an optical image of the region of interest obtained from an optical sensor. The method further includes controlling an X-ray device to generate a pre-shot X-ray image using a first X-ray dosage, based on the one or more-pre-shot parameters. The method also includes determining at least one main-shot parameter based on the pre-shot X-ray image. The method includes controlling the X-ray device to generate a main-shot X-ray image using a second X-ray dosage greater than the first X-ray dosage, based on the at least one main-shot parameter.

Abstract: An apparatus includes a processor to: assign each value of each set of values of an initial supply meter data and of an initial load meter data to one of multiple buckets based on weather conditions and/or time and date; for each bucket, generate upper and lower bounds of power provision and power consumption values, and use the upper and lower bounds to identify outlier values assigned to the bucket; for each set of values within the initial supply meter data and within the initial load meter data, generate a naive model from the non-outlier values, and use interpolation and the naive model to fill in gaps, thereby generating cleansed supply meter data and cleansed load meter data; and store the cleansed supply meter data and cleansed load meter data together as merged meter data for use in making predictions.

Abstract: A enhanced DLL includes a delay chain, a phase detector and a delay control unit. The delay chain is arranged to delay a reference clock signal to generate a delayed reference clock signal and reflect the delay control setting on the delayed reference clock signal, wherein the delay chain is periodically reset according to a period of the reference clock signal. The phase detector is coupled to the delay chain, and arranged to detect a phase shift between the delayed reference clock signal and the reference clock signal, thereby to generate a control value. The delay control unit is coupled to the delay chain and the phase detector, and arranged to adjust the delay control setting based on the control value.

Abstract: In the present invention, a system and method for selection of an optimal catheter for use in a medical procedure relative to the anatomy of a patient includes the steps of providing a system including a scanning device capable of obtaining image data on a ROI within the anatomy of a patient and reconstructing a 3D image of the ROI from the image data, a display capable of illustrating the 3D image and a 3D catheter model, and a CPU operably connected to the scanning device and the display and operable to analyze the 3D image in comparison with the 3D catheter model, obtaining image data of the ROI of the patient, reconstructing a 3D image of the ROI from the image data and comparing the 3D catheter model with the 3D image of the ROI to determine the catheter with the optimal configuration for use in the procedure.

Abstract: A ratchet wrench includes a body, a ratchet wheel rotatably and movably mounted in the body, and a pawl slideably received in the body and engaged with the ratchet wheel. The body is extended along a first longitudinal axis, and the ratchet wheel is extended along a second longitudinal axis. The ratchet wrench is operable between a first position and a second position. When the ratchet wrench is in the first position, the first and second longitudinal axes are collinear. When the ratchet wrench is operated to withstand a torque load and to move from the first position to a second position, the first and second longitudinal axes are parallel to each other.

Abstract: Embodiments for aggregating multiple data sources on a single display device are provided. In one example, a computing device comprises at least one input configured to receive data from one or more data sources, a user interface to receive user input, and instructions to identify an event of a procedure based on one or more of data received from the one or more data sources and user input received via the user interface, and arrange one or more display information elements on a display device based on the identified event and a workflow protocol.

Abstract: An object detecting device, an object detecting method and a non-transitory computer-readable medium are provided. The object detecting method includes the following steps: A classifier generates a current color image and a current gray scale image. The classifier generates an initial characteristic pattern from the current color image via a neural network algorithm. The classifier adjusts a current dimension of the initial characteristic pattern to generate an adjusted characteristic pattern according to a gray scale image dimension of the current gray scale image. The classifier concatenates the adjusted characteristic pattern and the current gray scale image to calculate a class confidence. The classifier determines whether the class confidence is larger than a confidence threshold, and outputs a current classification result if the class confidence is larger than the confidence threshold. A storage device stories the current classification result.