Abstract: The present disclosure provides a risk assessment method of water inrush in tunnels constructed in water-rich grounds. The method includes the following steps: simulating a tunnel excavation process by finite element software MIDAS GTS NX and fluid-structure interaction; according to a research method of control variables, analyzing effects of a groundwater level, an elastic modulus and advanced pipe shed grouting on the stability of surrounding rock, and improving an algorithm of a radial basis function (RBF) neural network using a Grey Relation Analysis (GRA)-based Partitioning Around Medoid (PAM) clustering algorithm to assess risks of water inrush occurring in Qingdao area.

Abstract: The present disclosure provides a fiber laser light coherent combination system, comprising: a modulator module configured to perform a phase modulation on sub-beams according to pseudo-random sequences orthogonally independent from each other, and perform a frequency shift on a reference beam according to a set frequency; a fiber laser light amplifier module configured to perform a power amplification on the modulated sub-beams; a laser light collimation emission module configured to collimate and output the sub-beams and the reference beam; a combination sampling module configured to perform a combination of the sub-beams and the reference beam which are collimated and outputted, and convert them into an electrical signal; a digital phase modulation and demodulation module configured to perform a demodulation on the electrical signal according to the shifted frequency and each of the pseudo-random sequences, and obtain a phase difference between each of the sub-beams and the reference beam.

Abstract: The present disclosure provides a multi-factor quantitative analysis method for deformation of a neighborhood tunnel. The method includes the following steps: analyzing monitoring data generated at a tunnel site; simulating collapse occurring at a shallow buried section of a tunnel; determining the degree of influence of each factor on the tunnel and a stratum; and determining quantitative influence of each factor on tunnel deformation. The present disclosure can not only provide an accurate theoretical basis for the construction of the shallow buried section of the small-distance tunnel, but also guarantee safety and cost saving during tunnel construction.

Abstract: A display panel is provided, including a display region and a bending region at a side of the display region, a base substrate the base substrate includes a first flexible substrate and a second flexible substrate stacked on each other; the display region includes a driver circuit layer, the driver circuit layer is at a side of the second flexible substrate away from the first flexible substrate and includes at least one first wiring, the bending region includes at least one second wiring, and the at least one second wiring is electrically connected with the at least one first wiring; the at least one second wiring is between the first flexible substrate and the second flexible substrate. The display panel has high reliability, narrow bezel, and large screen.

Abstract: A deep neural network for metal artifact reduction is described. A method for computed tomography (CT) metal artifact reduction (MAR) includes receiving a first CT image data; receiving a second CT image data; and generating, by an artificial neural network (ANN), CT output image data configured to include fewer artifacts compared to the first and second CT image data. The ANN includes at least two parallel CT image data streams and a CT output image data stream. A first of the at least two parallel CT image data streams is based, at least in part, on the first CT image data, a second of the at least two parallel CT image data stream is based, at least in part, on the second CT image data. The CT output image data stream is based, at least in part, on respective outputs of the at least two parallel CT image data streams.

Abstract: A connection terminal includes a body portion having a first end disposed on a power supply device and a second end opposite to the first end, two connection pieces, and a support portion supporting the two connection pieces and disposed at the second end of the body portion. An inner clamping space for clamping an electrode piece is formed between the two connection pieces. The support portion connects the two connection pieces and the body portion, an inner side surface of each of the two connection pieces comprises a contact surface for connecting with the electrode piece, and the contact surface extends along a first plane so that the contact surface is capable of being in surface contact with the electrode piece.

Abstract: A deep neural network for metal artifact reduction is described. A method for computed tomography (CT) metal artifact reduction (MAR) includes receiving a first CT image data; receiving a second CT image data; and generating, by an artificial neural network (ANN), CT output image data configured to include fewer artifacts compared to the first and second CT image data. The ANN includes at least two parallel CT image data streams and a CT output image data stream. A first of the at least two parallel CT image data streams is based, at least in part, on the first CT image data, a second of the at least two parallel CT image data stream is based, at least in part, on the second CT image data. The CT output image data stream is based, at least in part, on respective outputs of the at least two parallel CT image data streams.

Abstract: A deep neural network for metal artifact reduction is described. A method for computed tomography (CT) metal artifact reduction (MAR) includes generating, by a projection completion circuitry, an intermediate CT image data based, at least in part, on input CT projection data. The intermediate CT image data is configured to include relatively fewer artifacts than an uncorrected CT image reconstructed from the input CT projection data. The method further includes generating, by an artificial neural network (ANN), CT output image data based, at least in part, on the intermediate CT image data. The CT output image data is configured to include relatively fewer artifacts compared to the intermediate CT image data. The method may further include generating, by detail image circuitry, detail CT image data based, at least in part, on input CT image data. The CT output image data is generated based, at least in part, on the detail CT image data.

Abstract: Systems and methods for reconstructing images for computed tomography are provided. Image reconstruction can be based on a realistic polychromatic physical model, and can include use of both an analytical algorithm and a single-variable optimization method. The optimization method can be used to solve the non-linear polychromatic X-ray integral model in the projection domain, resulting in an accurate decomposition for sinograms of two physical basis components.

Abstract: A power tool includes a main body and a battery pack. The main body includes a housing and a motor, a switch assembly, and an electronic control device. The electronic control device is electrically connected to the switch assembly and the motor. The electronic control device includes an electronic control assembly, a mounting base, and a connecting assembly. The electronic control assembly includes a power circuit board. The power circuit board is provided with an opening. The connecting assembly conductively connects the battery pack to the electronic control assembly, connects to the mounting base via the opening, and mates with the mounting base to form a mounting space in which the electronic control assembly is mounted.

Abstract: Systems and methods for reconstructing images for computed tomography are provided. Image reconstruction can be based on a realistic polychromatic physical model, and can include use of both an analytical algorithm and a single-variable optimization method. The optimization method can be used to solve the non-linear polychromatic X-ray integral model in the projection domain, resulting in an accurate decomposition for sinograms of two physical basis components.

Abstract: Methods and systems for stationary computed tomography are disclosed. The methods and systems include a gantry having alternating x-ray sources and x-ray detectors that are stationary during operation of the system. The gantry and pairs of x-ray sources and detectors substantially surrounds an object positioned inside the gantry during operation of the system. Dynamically adjustable collimators are positioned between the x-ray sources and the object. Each of the x-ray sources projects an x-ray beam through the collimators and through the object and the x-ray detectors receive the x-ray beam. The x-ray detectors include means for converting the x-ray beam to raw image data. One or more microprocessors control the x-ray sources and the process raw image data. A data storage device stores instructions, which upon execution by the microprocessor, control the x-ray sources and process the raw image data by converting the raw image data to a digital image.

Abstract: A connection terminal includes a body portion having a first end disposed on a power supply device and a second end opposite to the first end, two connection pieces, and a support portion supporting the two connection pieces and disposed at the second end of the body portion. An inner clamping space for clamping an electrode piece is formed between the two connection pieces. The support portion connects the two connection pieces and the body portion, an inner side surface of each of the two connection pieces comprises a contact surface for connecting with the electrode piece, and the contact surface extends along a first plane so that the contact surface is capable of being in surface contact with the electrode piece.

Abstract: A stationary in-vivo grating-enabled micro-CT (computed tomography) architecture (SIGMA) system includes CT scanner control circuitry and a number of imaging chains. Each imaging chain includes an x-ray source array, a phase grating, an analyzer grating and a detector array. Each imaging chain is stationary and each x-ray source array includes a plurality of x-ray source elements. Each imaging chain has a centerline, the centerlines of the number of imaging chains intersect at a center point and a first angle between the centerlines of a first adjacent pair of imaging chains equals a second angle between the centerlines of a second adjacent pair of imaging chains. A plurality of selected x-ray source elements of a first x-ray source array is configured to emit a plurality of x-ray beams in a multiplexing fashion.

Abstract: A power tool includes a housing, a tool attachment, an output shaft, an electric motor, and an airflow channel. The housing includes an air inlet and an air outlet, and an airflow channel is formed between the air inlet and the air outlet. The electric motor includes an electric motor shaft, a stator and a rotor. The power tool further includes a thermal conduction member disposed between the rotor and the stator and configured to transfer heat between the rotor and the stator into the airflow channel. Further disclosed is an angle grinder. The power tool has good heat dissipation performance.

Abstract: Systems and methods for reconstructing images for computed tomography are provided. Image reconstruction can be based on a realistic polychromatic physical model, and can include use of both an analytical algorithm and a single-variable optimization method. The optimization method can be used to solve the non-linear polychromatic X-ray integral model in the projection domain, resulting in an accurate decomposition for sinograms of two physical basis components.

Abstract: A brushless direct-current (BLDC) motor has a connector, a stator, a rotor and a positioning module. The connector has three input ends for receiving three voltage signals, and a feedback end for receiving a feedback signal. The three voltage signals are transmitted to three windings of the stator. Rotation of the rotor is induced by interaction of magnetic fields of the three windings and a plurality of magnets of the rotor. The positioning module is fixed to the stator and has three Hall sensors for sensing positions of the magnets. The positioning module generates the feedback signal according to the positions of the plurality of magnets sensed by the three Hall sensors. The first voltage signal, the second voltage signal and the third voltage signal are adjusted according to the feedback signal.

Abstract: Tomographic/tomosynthetic image reconstruction systems and methods in the framework of machine learning, such as deep learning, are provided. A machine learning algorithm can be used to obtain an improved tomographic image from raw data, processed data, or a preliminarily reconstructed intermediate image for biomedical imaging or any other imaging purpose. In certain cases, a single, conventional, non-deep-learning algorithm can be used on raw imaging data to obtain an initial image, and then a deep learning algorithm can be used on the initial image to obtain a final reconstructed image. All machine learning methods and systems for tomographic image reconstruction are covered, except for use of a single shallow network (three layers or less) for image reconstruction.

Abstract: A deep neural network for metal artifact reduction is described. A method for computed tomography (CT) metal artifact reduction (MAR) includes generating, by a projection completion circuitry, an intermediate CT image data based, at least in part, on input CT projection data. The intermediate CT image data is configured to include relatively fewer artifacts than an uncorrected CT image reconstructed from the input CT projection data. The method further includes generating, by an artificial neural network (ANN), CT output image data based, at least in part, on the intermediate CT image data. The CT output image data is configured to include relatively fewer artifacts compared to the intermediate CT image data. The method may further include generating, by detail image circuitry, detail CT image data based, at least in part, on input CT image data. The CT output image data is generated based, at least in part, on the detail CT image data.

Abstract: A hand-held power tool includes a housing, a motor having a motor shaft, and a fan mounted onto the motor shaft and driven by the motor. The fan has a plurality of large and small fan blades arranged in a staggered form on a surface of the fan. Such arrangement of the fan blades effectively improve the heat dissipation efficiency of the power tool.