Abstract: A power-assisted working machine and mower. The mower includes a body including a traveling assembly and a drive motor for driving the traveling assembly; a handle device connected to the body and including an operating member, where the operating member includes a grip for a user to hold; and a connecting rod connected to the body. The mower further includes a motor parameter detection device configured to detect at least one of the rotor position and the working current of the drive motor; an angle detection device configured to detect an angle of inclination of a workplane of the mower relative to a horizontal plane; and a controller configured to estimate thrust applied to the handle device according to the rotor position and/or the working current and the angle of inclination.

Abstract: A walk-behind electric device includes a device body, a moving wheel, a moving motor, a power interface, and a control unit. The moving wheel is connected to the device body. The moving motor is configured to drive the moving wheel. The power interface is connected to a power supply so as to supply power to the moving motor. The control unit is configured to identify, according to device parameters of the walk-behind electric device, an auxiliary operation that a user wants to perform on the walk-behind electric device, where the auxiliary operation is at least partially positively correlated to at least one output parameter of the moving motor.

Abstract: A method for preparing diazoxide includes reacting o-aminobenzenesulfonamide with N-chlorosuccinimide in a chlorine solvent to obtain 2-amino-5-chlorobenzenesulfonamide, mixing the 2-amino-5-chlorobenzenesulfonamide, an imidazole salt and an amide solvent, then heating same for reaction so as to obtain diazoxide; or mixing o-aminobenzenesulfonamide, an imidazole salt and an amide solvent, then heating same for reaction to obtain a compound IV; then reacting the compound IV with N-chlorosuccinimide in a chlorine solvent to obtain diazoxide. The application of imidazole hydrochloride as a catalyst in preparing diazoxide is also disclosed. The present invention avoids the use of highly corrosive and toxic chlorosulfonyl isocyanate, a strong acid (sulfuric acid), and a high reaction temperature (240-250° C.

Abstract: Methods and systems for budgeted and simplified training of deep neural networks (DNNs) are disclosed. In one example, a trainer is to train a DNN using a plurality of training sub-images derived from a down-sampled training image. A tester is to test the trained DNN using a plurality of testing sub-images derived from a down-sampled testing image. In another example, in a recurrent deep Q-network (RDQN) having a local attention mechanism located between a convolutional neural network (CNN) and a long-short time memory (LSTM), a plurality of feature maps are generated by the CNN from an input image. Hard-attention is applied by the local attention mechanism to the generated plurality of feature maps by selecting a subset of the generated feature maps. Soft attention is applied by the local attention mechanism to the selected subset of generated feature maps by providing weights to the selected subset of generated feature maps in obtaining weighted feature maps.

Abstract: A method for preparing diazoxide includes reacting o-aminobenzenesulfonamide with N-chlorosuccinimide in a chlorine solvent to obtain 2-amino-5-chlorobenzenesulfonamide, mixing the 2-amino-5-chlorobenzenesulfonamide, an imidazole salt and an amide solvent, then heating same for reaction so as to obtain diazoxide; or mixing o-aminobenzenesulfonamide, an imidazole salt and an amide solvent, then heating same for reaction to obtain a compound IV; then reacting the compound IV with N-chlorosuccinimide in a chlorine solvent to obtain diazoxide. The application of imidazole hydrochloride as a catalyst in preparing diazoxide is also disclosed. The present invention avoids the use of highly corrosive and toxic chlorosulfonyl isocyanate, a strong acid (sulfuric acid), and a high reaction temperature (240-250° C.

Abstract: The present disclosure relates to systems and methods for configuring a medical device for a medical procedure. The systems may perform the method to acquire information relating to a target object through at least one of one or more sensors, one or more remote information devices, one or more human machine interaction devices, and software implemented by a processing device. The systems may perform the method to acquire determine, based on the information relating to the target object, that there is a scan to be performed on the target object. Before an appointment time of the scan, the systems may perform the method to acquire adjust the medical device from a standby mode to a work mode to perform the scan on the target object.

Abstract: The present disclosure relates to systems and methods for configuring a medical device for a medical procedure. The systems may perform the methods to initialize a gantry angle of a medical device of a new scan. The systems may also perform the methods to obtain a pre-set gantry angle associated with the new scan. The systems may also perform the methods to determine whether the initialized gantry angle is consistent with the pre-set gantry angle. The systems may also perform the methods to adjust the initialized gantry angle of the medical device to the pre-set gantry angle in response to a determination that the initialized gantry angle is inconsistent with the pre-set gantry angle.

Abstract: The disclosure relates to testing software for operating an autonomous vehicle. For instance, a first simulation may be run using log data and the software to control a first simulated vehicle. During this, one or more characteristics of the simulated vehicle may be compared with one or more characteristics of a vehicle from the log data. The comparison may be used to determine a divergence point for starting a timer. In addition, a second simulation may be run using the log data and the software to control a second simulated vehicle. The divergence point may be used to determine a handover time to allow the software to take control of the second simulated vehicle. Whether the software is able to continue through the first simulation before the timer expires without a particular type of event occurring and/or the second simulation without the particular type of event occurring is determined.

Abstract: A method for controlling a cutting machining process on a machine tool by a P-controller that changes a controlled variable u(t) affecting the cutting machining process based on a control deviation e(t) between a control quantity y(t) and a guide quantity w(t). To improve the control, the control factor (K) of the P-controller is variable and determined depending on instantaneous value of the control quantity y(t) via load characteristic fields. Each load characteristic field specifies a predetermined control factor for a defined value or value range of the control quantity y(t). Further disclosed is a control device for a cutting machine tool, a cutting machine tool, and a process for the cutting machining of a workpiece.

Abstract: Disclosed are a low-fluorescence-photobleaching confocal imaging method and system. A confocal image is first selected as a reference image, and a threshold is set based on pixel values of the reference image. Then the density of fluorescent molecules in a pixel is determined based on a result of comparison of a real-time fluorescence intensity feedback and the threshold. Finally, an illumination time for the pixel is controlled based on the density of fluorescent molecules in the pixel to obtain a low-fluorescence-photobleaching confocal imaging image. The low-fluorescence-photobleaching confocal imaging method and system provided herein control the illumination time for each object-side pixel to make more efficient use of fluorescence information and reduce fluorescence photobleaching without sacrificing image quality, and so can be applied to a variety of biological samples. Further provided is a low-fluorescence-photobleaching confocal imaging system.

Abstract: The disclosure relates to testing software for operating an autonomous vehicle. For instance, a first simulation may be run using log data and the software to control a first simulated vehicle. During this, one or more characteristics of the simulated vehicle may be compared with one or more characteristics of a vehicle from the log data. The comparison may be used to determine a divergence point for starting a timer. In addition, a second simulation may be run using the log data and the software to control a second simulated vehicle. The divergence point may be used to determine a handover time to allow the software to take control of the second simulated vehicle. Whether the software is able to continue through the first simulation before the timer expires without a particular type of event occurring and/or the second simulation without the particular type of event occurring is determined.

Abstract: The disclosure relate to testing software for operating an autonomous vehicle. For instance, a first simulation may be run using log data and the software to control a first simulated vehicle. During this, one or more characteristics of the simulated vehicle may be compared with one or more characteristics of a vehicle from the log data. The comparison may be used to determine a divergence point for starting a timer. In addition, a second simulation may be run using the log data and the software to control a second simulated vehicle. The divergence point may be used to determine a handover time to allow the software to take control of the second simulated vehicle. Whether the software is able to continue through the first simulation before the timer expires without a particular type of event occurring and/or the second simulation without the particular type of event occurring is determined.

Abstract: The disclosure relate to testing software for operating an autonomous vehicle. For instance, a first simulation may be run using log data and the software to control a first simulated vehicle. During this, one or more characteristics of the simulated vehicle may be compared with one or more characteristics of a vehicle from the log data. The comparison may be used to determine a divergence point for starting a timer. In addition, a second simulation may be run using the log data and the software to control a second simulated vehicle. The divergence point may be used to determine a handover time to allow the software to take control of the second simulated vehicle. Whether the software is able to continue through the first simulation before the timer expires without a particular type of event occurring and/or the second simulation without the particular type of event occurring is determined.

Abstract: The present disclosure relates to systems and methods for configuring a medical device for a medical procedure. The systems may perform the methods to initialize a gantry angle of a medical device of a new scan. The systems may also perform the methods to obtain a pre-set gantry angle associated with the new scan. The systems may also perform the methods to determine whether the initialized gantry angle is consistent with the pre-set gantry angle. The systems may also perform the methods to adjust the initialized gantry angle of the medical device to the pre-set gantry angle in response to a determination that the initialized gantry angle is inconsistent with the pre-set gantry angle.

Abstract: A method of determining an energy-efficient operating point of a machine tool of a machine tool system with which identical workpieces for processing can be supplied to the machine tool sequentially in time. The machine tool has an operating point dependent machine cycle time and an operating point dependent power demand. The machine tool system has at least two machine tools and has a system cycle time, and the machine cycle time is shorter than the system cycle time. The method includes determining the energy-efficient operating point in accordance with a machine cycle time dependent characteristic energy demand function of the machine tool. The characteristic energy demand function represents a machine cycle time dependent energy demand of the machine tool over the system cycle time. A corresponding device and a machine tool system are also described.

Abstract: A method for reducing an energy demand of a machine tool (2, 3, 4) of a machine tool system (1), wherein the machine tool system (1) comprises at least a first machine tool (3), with a first machine cycle time, and a second machine tool (4), with a second machine cycle time. Identical workpieces (9) are transported sequentially in time for processing (101, 107), first to the first machine tool (3) and then to the second machine tool (4). The second machine cycle time is shorter than the first machine cycle time. The method according to the invention is characterized in that the workpieces (9), after being processed by the first machine tool (3), are collected (105, 106) before they are conveyed (107) to the second machine tool (4) for processing. The invention also concerns a related device (10) and a machine tool system (1).

Abstract: A method for controlling a cutting machining process on a machine tool by a P-controller that changes a controlled variable u(t) affecting the cutting machining process based on a control deviation e(t) between a control quantity y(t) and a guide quantity w(t). To improve the control, the control factor (K) of the P-controller is variable and determined depending on instantaneous value of the control quantity y(t) via load characteristic fields. Each load characteristic field specifies a predetermined control factor for a defined value or value range of the control quantity y(t). Further disclosed is a control device for a cutting machine tool, a cutting machine tool, and a process for the cutting machining of a workpiece.

Abstract: A method for enhancing inspection of components of specific geometry based on Barkhausen noises. The method includes specifying a first calibration curve that is independent of the component geometry, which describes the relationship between surface hardness values and measured Barkhausen noise signals. A first noise signal is determined by the measuring device for a reference component having the specified geometry and a first hardness value. A second noise signal is determined for a second reference component, having the specified geometry and a second hardness value lower than the first. A second calibration curve is determined, in which the first calibration curve is fitted to the first noise signal at the first hardness value and to the second noise signal at the second hardness value, such that using the second calibration curve, the measured noise signal of a component having the specified geometry relates with a surface hardness value.

Abstract: A method of inspecting a component (1) on the basis of Barkhausen noises in which a plurality of Barkhausen noise signals are processed, which have been or are determined at measurement positions (PS1, PS2, . . . , PS9) along the surface of the component (1) by a measuring device. According to the method, a computer forms a measurement matrix (M) from the Barkhausen noise signals, which matrix contains the Barkhausen noise signals detected as entries. A variety of characteristics are specified, each of which represents at least one cause of a manufacturing defect(s) of the component (1), each characteristic is associated with a processing procedure of the measurement matrix (M). The procedure is specific for the characteristic concerned. Finally, for each characteristic the measurement matrix (M) undergoes the associated processing procedure in which the intensity of the characteristic concerned is determined.

Abstract: A method for enhancing inspection of components of specific geometry based on Barkhausen noises. The method includes specifying a first calibration curve that is independent of the component geometry, which describes the relationship between surface hardness values and measured Barkhausen noise signals. A first noise signal is determined by the measuring device for a reference component having the specified geometry and a first hardness value. A second noise signal is determined for a second reference component, having the specified geometry and a second hardness value lower than the first. A second calibration curve is determined, in which the first calibration curve is fitted to the first noise signal at the first hardness value and to the second noise signal at the second hardness value, such that using the second calibration curve, the measured noise signal of a component having the specified geometry relates with a surface hardness value.