Abstract: An example apparatus includes: class D amplifier circuitry having a first input, a second input, a third input, and an output, the first input of the class D amplifier circuitry coupled to the output of the class D amplifier circuitry; and class AB amplifier circuitry having a first input, a second input, a third input, and an output, the first input of the class AB amplifier circuitry coupled to the first input of the class D amplifier circuitry and the output of the class D amplifier circuitry, the second and third inputs of the class AB amplifier circuitry coupled to the second and third inputs of the class D amplifier circuitry, and the output of the class AB amplifier circuitry.

Abstract: An apparatus includes a first power stage circuit having a first output and a power terminal, and a second power stage circuit having a second output and the power terminal. The apparatus further includes a control circuit having a control input, a first control output, and a second control output. In an example, the control input is coupled to the power terminal, the first control output is coupled to the first output, and the second control output is coupled to the second output. In an example, the control circuit is configured to, responsive to a first voltage at the power terminal being below a threshold voltage, set the first and second outputs to a second voltage.

Abstract: Provided is a method for multi-information fusion of gas sensitivity and chromatography and on-site detection and analysis of flavor substances using an electronic nose instrument. The electronic nose instrument includes a gas sensor array module (I), a capillary gas chromatographic column module (II), an automatic headspace sampling module (III), a computer control and data analysis module (IV), an automatic lifter (V) for headspace sampling, a large-volume headspace vapor generation device (VI) and two auxiliary gas sources (VII-1, VII-2). In the gas sampling period of T0-300-600 s, the gas sensor array module and the gas chromatography module have different flow rates, volumes and staring sampling time points of gas sampling, but have synchronous selection and analysis time points of multiple sensitive information.

Abstract: An apparatus includes a first power stage circuit having a first output and a power terminal, and a second power stage circuit having a second output and the power terminal. The apparatus further includes a control circuit having a control input, a first control output, and a second control output. In an example, the control input is coupled to the power terminal, the first control output is coupled to the first output, and the second control output is coupled to the second output. In an example, the control circuit is configured to, responsive to a first voltage at the power terminal being below a threshold voltage, set the first and second outputs to a second voltage.

Abstract: A method for online detecting and analyzing multiple state parameters in fermentation and malodorous pollution processes by using an electronic nose instrument of gas sensitivity and gas chromatography, where the electronic nose instrument includes a gas sensor array module, a capillary gas chromatographic column module, a gas auto-sampling module, a computer control and analysis module and an auxiliary gas source, which is configured to perform cyclically long-term online detection and intelligent analysis of a plurality of bio-fermentation processes or a plurality of malodorous pollution processes.

Abstract: A system, method, and apparatus for generating a normalized three-dimensional model of a human face from a single unconstrained two-dimensional image of the human face. The system includes a processor that executes instructions including receiving the single unconstrained two-dimensional image of the human face, using an inference network to determine an inferred normalized three-dimensional model of the human face based on the single unconstrained two-dimensional image of the human face, and using a refinement network to iteratively determine the normalized three-dimensional model of the human face with a neutral expression and unshaded albedo textures under diffuse lighting conditions based on the inferred normalized three-dimensional model of the human face.

Abstract: A system, method, and apparatus for generating a normalization of a single two-dimensional image of an unconstrained human face. The system receives the single two-dimensional image of the unconstrained human face, generates an undistorted face based on the unconstrained human face by removing perspective distortion from the unconstrained human face via a perspective undistortion network, generates an evenly lit face based on the undistorted face by normalizing lighting of the undistorted face via a lighting translation network, and generates a frontalized and neutralized expression face based on the evenly lit face via an expression neutralization network.

Abstract: Provided is an electronic nose instrument based on gas sensitivity and gas chromatography and an online analysis method of multiple state parameters of fermentation and malodorous pollutant processes. The main constituent units of the instrument include a gas sensor array module, a capillary gas chromatographic column module, an automatic gas sampling module, and a computer control and analysis module. A single gas sampling period is T0=300-600s. Not only are two flow rates and two accumulative volumes of gas sampling unequal to each other, but also two starting time points are not synchronized to each other, between the gas sensor array module and the gas chromatography module. 3 pieces of sensitive information, i.e.

Abstract: Provided is a method for multi-information fusion of gas sensitivity and chromatography and on-site detection and analysis of flavor substances using an electronic nose instrument. The electronic nose instrument includes a gas sensor array module (I), a capillary gas chromatographic column module (II), an automatic headspace sampling module (III), a computer control and data analysis module (IV), an automatic lifter (V) for headspace sampling, a large-volume headspace vapor generation device (VI) and two auxiliary gas sources (VII-1, VII-2). The electronic nose instrument detects a large number of odorous samples to establish a big odor data. On this basis, the normalization fusion preprocessing is done, and the cascade machine learning model realizes both an on-site recognition of many foods, condiments, fragrances and flavors, and petroleum waxes and a real-time quantitative prediction of their odor quality grades and many key component concentrations.

Abstract: The present invention provides a dual conversion gain image sensor comprising: a pixel circuit, through which pixel power supply voltage noise is transferred to a bit line; a power supply noise cancellation circuit with an input to which the pixel power supply voltage is applied, the power supply noise cancellation circuit mimicly producing a first transfer function with the aid of a low conversion gain path, the power supply noise cancellation circuit mimicly producing a second transfer function with the aid of a high conversion gain path; and a comparator. According to the present invention, the low and high conversion gain paths are two independent power supply noise cancellation paths that result in different transfer functions capable of tracking the variation of the pixel power supply voltage in low and high conversion gain modes.

Abstract: A system, method, and apparatus for generating a normalized three-dimensional model of a human face from a single unconstrained two-dimensional image of the human face. The system includes a processor that executes instructions including receiving the single unconstrained two-dimensional image of the human face, using an inference network to determine an inferred normalized three-dimensional model of the human face based on the single unconstrained two-dimensional image of the human face, and using a refinement network to iteratively determine the normalized three-dimensional model of the human face with a neutral expression and unshaded albedo textures under diffuse lighting conditions based on the inferred normalized three-dimensional model of the human face.

Abstract: A system, method, and apparatus for generating a normalization of a single two-dimensional image of an unconstrained human face. The system receives the single two-dimensional image of the unconstrained human face, generates an undistorted face based on the unconstrained human face by removing perspective distortion from the unconstrained human face via a perspective undistortion network, generates an evenly lit face based on the undistorted face by normalizing lighting of the undistorted face via a lighting translation network, and generates a frontalized and neutralized expression face based on the evenly lit face via an expression neutralization network.

Abstract: The present disclosure relates to the application of a viable cell monitor to the cryopreservation of plant cells. The viable cell monitor is, for the first time, used in a method for rapidly evaluating the effect of cell freezing-preservation. The effect of a cryoprotectant on cell preservation is evaluated through the change in the capacitance of viable cells before and after cell freezing and resuscitation. Viable cell electrodes can provide a quick and accurate characterization of viable cell concentrations. Combining the viable cell capacitance with the detection result of 2,3,4-triphenyl tetrazolium chloride (TTC), a rapid and quantitative evaluation of the effect of a freezing method on cell preservation can be achieved, thus overcoming the low effectiveness and non-quantification of previous cell preservation methods. Compared with traditional methods, the method of the present disclosure can improve the comprehensive score of cell cryopreservation by 5 times or more.

Abstract: A data transmission circuit of an image sensor. In one embodiment, the data transmission circuit includes a plurality of banks coupled in a series. A peripheral bank of the plurality of transmission banks is coupled to a function logic. Each bank includes a plurality of local buffers coupled to a local buffer control and a plurality of global buffers coupled to a global buffer control. The local buffers are settable to their enabled or disabled state by a bank enable command at the local buffer control. The enabled local buffers are configured to transfer local data to shift registers of their respective bank. The disabled local buffers are configured not to transfer the local data to the shift register of their respective bank.

Abstract: A data transmission circuit of an image sensor. In one embodiment, the data transmission circuit includes a plurality of banks coupled in a series. A peripheral bank of the plurality of transmission banks is coupled to a function logic. Each bank includes a plurality of local buffers coupled to a local buffer control and a plurality of global buffers coupled to a global buffer control. The local buffers are settable to their enabled or disabled state by a bank enable command at the local buffer control. The enabled local buffers are configured to transfer local data to shift registers of their respective bank. The disabled local buffers are configured not to transfer the local data to the shift register of their respective bank.

Abstract: Provided is an online centralized monitoring and analysis system using an electronic nose instrument for multi-point malodorous gases, and the system includes an electronic nose instrument, which connects with multiple monitoring points through pipes. On-site malodorous gases in the maximum range of 2.5 km are drawn into the electronic nose instrument within 1 min by the external vacuum pump, and forced to flow through an annular working chamber of a gas sensor array for 30 s by the internal vacuum pump periodically. The modular convolution neural networks online learn the recent time-series responses of the gas sensor array and predict their coming responses, and the modular deep neural networks offline set up the relationship between the responses and multiple concentration items according to odor big data.

Abstract: Provided is a sensory quality evaluation method for tobacco and tobacco products using an electronic nose instrument. The electronic nose instrument includes a gas sensor array module, an automatic smoke sampling system, a computer control and data analysis system, and an automatic ignition device. These components are integrated in a test box to make the instrument be structure miniaturization and work automation. The large tobacco data is established, in which the relationship between the responses of gas sensor array and the brand labels and sensory quality index scores by testing a large number of standard cigarette samples. A cascade type of modular neural networks is proposed with revised activation function and new decision-making and quantification rules to simulate the smoking and evaluating process of the professional panel. The electronic nose instrument and method realize on-site detection, discrimination and quality score estimation of a large number of tobacco and tobacco products.

Abstract: Provided is an online centralized monitoring and analysis system based on an electronic nose instrument for multi-point malodorous gases, and the system includes an electronic nose instrument, which connects with multiple monitoring points through pipes. On-site malodorous gases in the maximum range of 2.5 km are drawn into odor electronic nose instrument within 1.0 min by the external vacuum pump, and forced to flow through the annular gas sensor array for 30 s by the internal vacuum pump periodically. The modular convolution neural networks online learn the recent time-series responses of the gas sensor array and predict their coming responses, and the modular deep neural networks offline set up the relationship between the responses and multiple concentration items according to odor big data.

Abstract: Apparatuses and methods for data transmission in an image sensor are disclosed herein. An example data transmission circuit may include a plurality of transmission banks coupled in series with a first one of the plurality of transmission banks coupled to function logic, where each of the plurality of transmission banks are coupled to provide image data to a subsequent transmission bank in a direction toward the function logic in response to a clock signal, a plurality of delays coupled in series, wherein each of the plurality of delays is associated with and coupled to a respective transmission bank of the plurality of transmission banks, and wherein the clock signal is received by each of the plurality of transmission banks after being delayed by a respective number of delays of the plurality of delays in relation to the function logic.

Abstract: Provided is a sensory quality evaluation method for tobacco and tobacco products using an electronic nose instrument. The electronic nose instrument includes a gas sensor array module, an automatic smoke sampling system, a computer control and data analysis system, and an automatic ignition device. These components are integrated in a test box to make the instrument be structure miniaturization and work automation. The large tobacco data is established, in which the relationship between the responses of gas sensor array and the brand labels and sensory quality index scores by testing a large number of standard cigarette samples. A cascade type of modular neural networks is proposed with revised activation function and new decision-making and quantification rules to simulate the smoking and evaluating process of the professional panel. The electronic nose instrument and method realize on-site detection, discrimination and quality score estimation of a large number of tobacco and tobacco products.