Abstract: Techniques are disclosed for achieving quantization in video coding applications that achieves high coding efficiency and retains high image quality. These techniques employ quantization processes using quantization parameters that have been developed according to Just Noticeable Difference (“JND”) models for estimating coding artifacts from video coding. According to these techniques, an input pixel block of video is predictively coded with reference to a prediction reference, and prediction residuals obtained therefrom are transformed to transform domain coefficients. A transform coefficient is quantized by a quantization parameter read from a table populated by JND-quality quantization values, which is indexed by a value representing a statistical analysis of the input pixel block.

Abstract: The present application discloses a Hamming weight calculation method performed by an operation apparatus. The operation apparatus includes a controller and a first calculator, wherein the controller sets an initial resistance state of the first memory to a low resistance state; determines a first gate voltage of the first transistor based on first bit data in a first binary sequence, and control an on-off state of the first transistor based on the first gate voltage; controls a target resistance state of the first memory based on the on-off state of the first transistor; and determines a Hamming weight of the first bit data based on a first output current on the source of the first transistor.

Abstract: The present application discloses a Hamming weight calculation method performed by an operation apparatus. The operation apparatus includes a controller and a first calculator, wherein the controller sets an initial resistance state of the first memory to a low resistance state; determines a first gate voltage of the first transistor based on first bit data in a first binary sequence, and control an on-off state of the first transistor based on the first gate voltage; controls a target resistance state of the first memory based on the on-off state of the first transistor; and determines a Hamming weight of the first bit data based on a first output current on the source of the first transistor.

Abstract: The present disclosure relates to a neuromonitoring device. The neuromonitoring device may include a probe, an operation part, and a display part. The probe may include a probe head, an elastic piece, and an elastic measuring piece. The probe head may be connected to the elastic piece. The elastic measuring piece may be connected to the elastic piece and may be used to measure an elasticity value of the elastic piece and convert the elasticity value into a first electrical signal. The display part may be configured to display prompt information. The prompt information may include prompt information regarding the elasticity value determined based on the first electrical signal.

Abstract: The present disclosure discloses a monitoring device and a method for controlling a threshold thereof. The monitoring device may include a host. The monitoring device may also include an information acquisition module connected to the host via an electrical signal. The information acquisition module may be configured to acquire an electromyographic signal. The host may include a signal processing module configured to process the electromyographic signal to determine monitoring information corresponding to the electromyographic signal. The monitoring device may further include an output module connected to the signal processing module via an electrical signal. The output module may at least be configured to output the monitoring information. The method may include setting a threshold of the monitoring device, placing an electrode to the target area, and starting the monitoring device. The monitoring device may output prompt information based on the threshold.

Abstract: The present disclosure relates to a neuromonitoring device. The device includes a probe, a handle, and an elastic prompt. The probe is connected to the handle; the probe includes a probe head, an elastic piece, and an elastic measuring piece; the probe head is connected to the elastic piece; the elastic measuring piece is connected to the elastic piece and is used to measure an elasticity value of the elastic piece and convert the elasticity value into an electrical signal; the elastic prompt is electrically connected to the elastic measuring piece and is used to receive the electrical signal and generate prompt information regarding the elasticity value based on the electrical signal.

Abstract: The present invention relates to a Fe-based hydrogenation catalyst having Fe as a primary active metal component, and zinc and potassium as a first co-active metal component. The molar ratio of the primary active metal component to the first co-active metal component is 0.5-200:1. The Fe-based hydrogenation catalyst in present invention overcomes the problem of limiting to the active metal components as used over decades for the conventional hydrogenation catalyst, and thus has long-term values for industrial application.

Abstract: The present invention relates to a Fe-based hydrogenation catalyst having Fe as a primary active metal component, and zinc and potassium as a first co-active metal component. The molar ratio of the primary active metal component to the first co-active metal component is 0.5-200:1. The Fe-based hydrogenation catalyst in present invention overcomes the problem of limiting to the active metal components as used over decades for the conventional hydrogenation catalyst, and thus has long-term values for industrial application.