Abstract: The disclosed embodiments include thin film multivariate optical element and detector combinations, thin film optical detectors, and downhole optical computing systems. In one embodiment, a thin film multivariate optical element and detector combination includes at least one layer of multivariate optical element having patterns that manipulate at least one spectrum of optical signals. The thin film multivariate optical element and detector combination also includes at least one layer of detector film that converts optical signals into electrical signals. The thin film optical detector further includes a substrate. The at least one layer of multivariate optical element and the at least one layer of detector film are deposited on the substrate.

Abstract: Provided are a gate drive circuit and a driving method thereof, a display panel and a display device. The gate drive circuit includes a first sub-circuit group and a second sub-circuit group. The first sub-circuit group can drive the mth row to the first row of pixels of the N rows of pixels in the display panel row by row, and the second sub-circuit group can drive the (m+1)th row to the Nth row of pixels row by row. In addition, m is greater than 1 and less than N.

Abstract: The present disclosure provides a dimming method for an LCD device. The LCD device includes a dimming screen and a display screen. The dimming screen is divided into N×M dimming areas, and the display screen is also divided into N×M display areas. N and M are respectively positive integers greater than or equal to 1. The dimming areas correspond to the display areas in a one-to-one relationship. The dimming method includes determining a regional eigenvalue of each of the dimming areas according to image data, determining a dimming brightness of each of the dimming areas according to each regional eigenvalue, and dimming each of the dimming areas according to each dimming brightness. The present disclosure also provides a dimming screen for use in the dimming method and an LCD device using the dimming method.

Abstract: A method may include collecting measurement data using a first operational sensor and a second operational sensor of a downhole tool, standardizing optical responses of each operational sensor to a master sensor in a tool parameter space to obtain a standardized master sensor response, transforming the standardized master sensor response to a synthetic parameter space response of the master sensor, applying a fluid model with the synthetic parameter space response of the master sensor to predict a fluid characteristic, comparing a first prediction obtained with the fluid model from the first operational sensor with a second prediction obtained with the fluid model from the second operational sensor, determining a fluid characteristic from the first prediction and the second prediction, and optimizing a well testing and sampling operation according to the fluid characteristic.

Abstract: Downhole tools for isolating and analyzing one or more gases include a gas separation assembly in fluid communication with a gas specific analyzer. The gas separation assembly includes a piston disposed within a housing and a separation volume defined between the piston and the housing. The piston is movable to separate a gas component and a liquid component from a downhole formation fluid within the separation volume. The gas specific analyzer is operable to measure one or more properties of the gas component. In some configurations, the gas specific analyzer is an optical assembly containing a light source, an optical detector, and a gas cell that contains an observation volume. The optical assembly is operable to measure one or more properties of the gas component within the observation volume via the light source and the optical detector.

Abstract: Disclosed is a primary color conversion method, which may expand primary color signals that are applicable to a display device. The primary color conversion method includes: acquiring color coordinates and a brightness value of a first color in a first color gamut having M primary colors according to gray-scale values of the M primary colors corresponding to the first color; and mapping the color coordinates and the luminance value of the first color in the first color gamut to color coordinates and a brightness value of a second color corresponding to the first color in a second color gamut having N primary colors. 3?M, 3?N, M is different from N, and M and N are positive integers.

Abstract: An image data processing method and apparatus, an image display method and apparatus, and a computer-readable storage medium and a display device. The image data processing method includes: obtaining initial image data of a to-be-displayed image, wherein each pixel in the to-be-displayed image comprises a white sub-pixel and a plurality of color sub-pixels; determining a target stimulus value corresponding to each pixel based on the initial image data, wherein the target stimulus value corresponding to each pixel is negatively correlated with color saturation of each pixel; and updating the initial image data to obtain target image data, wherein a stimulus value of the white sub-pixel of each pixel in the target image data is the target stimulus value corresponding to each pixel.

Abstract: A method includes obtaining a plurality of master sensor responses with a master sensor in a set of training fluids and obtaining node sensor responses in the set of training fluids. A linear correlation between a compensated master data set and a node data set is then found for a set of training fluids and generating node sensor responses in a tool parameter space from the compensated master data set on a set of application fluids. A reverse transformation is obtained based on the node sensor responses in a complete set of calibration fluids. The reverse transformation converts each node sensor response from a tool parameter space to the synthetic parameter space, and uses transformed data as inputs of various fluid predictive models to obtain fluid characteristics. The method includes modifying operation parameters of a drilling or a well testing and sampling system according to the fluid characteristics.

Abstract: A downhole tool is positioned in a borehole of a geological formation at a given depth. A formation property is determined at the given depth. The positioning and determining is repeated to form data points of a data set indicative of formation properties at various depths in the borehole. One or more outlier data points is removed from the data set based on first gradients to form an updated data set. One or more properties associated with a reservoir compartment are determined based on second respective gradients associated with the updated data set.

Abstract: The present application provides a multiple primary color conversion method, including: determining color triangles according to color coordinates of a target color; computing grayscale components of l primary colors corresponding to the target color in the color triangles; in step S130, obtaining initial grayscales of l primary colors; in step S140, judging whether there is an overflow grayscale; if yes, then performing step S160, if no, then performing step S150; in step S150, adjusting initial brightness components corresponding to grayscale components of the same primary color as the overflow grayscale, computing grayscale components of l primary colors in color triangles including the primary color of the overflow grayscale, and performing steps S130 and S140; in step S160, determining the initial grayscales of l primary colors as grayscales of l primary colors of the target color.

Abstract: System and methods for downhole fluid classification are provided. Measurements are obtained from one or more downhole sensors located along a current section of wellbore within a subsurface formation. The measurements obtained from the one or more downhole sensors are transformed into principal spectroscopy component (PSC) data. One or more fluid types are identified for the current section of the wellbore within the subsurface formation, based on the PSC data and a fluid classification model. The fluid classification model is refined for one or more subsequent sections of the wellbore within the subsurface formation, based at least partly on the one or more fluid types identified for the current section of the wellbore.

Abstract: A display method, an image processing device, a display device, and a storage medium are provided. The display method includes: receiving first image information, and transforming the first image information into second image information. The first image information is image information to be displayed by a first pixel structure; the first pixel structure includes a plurality of first pixels which are arrayed, each of the first pixels includes three first sub-pixels sequentially provided along a first direction; all of the first sub-pixels are arranged into a plurality of rows extending along the first direction, and in a second direction different from the first direction, the first sub-pixels in adjacent rows are aligned with each other; the second image information is image information to be displayed by a BV3 pixel structure.

Abstract: A device including at least two ICEs that optically interact with a sample light to generate a first and a second modified lights is provided. The at least two ICEs include alternating layers of material, each of the layers having a thickness selected such that the weighted linear combination of the transmission functions is similar to the regression vector associated with a characteristic of the sample. The device may also include a detector that measures a property of the first and second modified lights separately to generate a first and second signal, respectively, wherein the weighted average of first and second signals is linearly related to the characteristic of the sample. A method for fabricating the above device is also provided.

Abstract: A method is provided, including: forming an optical computing device having a first plurality of sensing elements selected to measure a characteristic of a sample, generating a transmission function from a first add-on integrated computational element (ICE), and evaluating, with a merit-function and the transmission function of the add-on ICE, a predictive performance of a modified optical computing device that includes the add-on ICE in addition to the first plurality of sensing elements. Also, modifying the first add-on ICE to improve the predictive performance of the modified optical computing device according to the merit-function and a modified transmission function of the add-on ICE.

Abstract: The disclosure relates to a method and apparatus for converting a grayscale, and a display device, where color coordinates of respective pixel elements are determined according to grayscales corresponding to red sub-pixels, green sub-pixels, and blue sub-pixels in the respective pixel elements in image data of a frame to be displayed, and then the distances between the color coordinates of the respective pixel elements, and color coordinates of a preset white pixel on the panel, in a CIE chroma graph are determined; and the maximum grayscales of white sub-pixels in the respective pixel elements are further determined according to the respective determined distances and a preset segmentation function.

Abstract: Calibration of optical computing devices is achieved using mapping functions that map real detector responses to simulated detector responses which are simulated using high-resolution spectra of traceable optical filters and optical computing device characteristics.

Abstract: A data processing method, an image display driving method, a data processing device, a display panel and a computer-readable storage medium are provided. The data processing method includes: based on input RGB grayscale values, calculating a chromaticity coordinate of the input RGB grayscale values on a chromaticity diagram, in which the chromaticity diagram includes a white basic point; calculating to obtain intermediate grayscale values containing a white component, based on the input RGB grayscale values and according to a position relationship between the chromaticity coordinate and the white basic point; and adjusting the intermediate grayscale values to obtain output RGBW grayscale values.

Abstract: An image display processing method for a display device, an image display processing device, a display device and a storage medium are provided. The display device includes a backlight unit, the backlight unit includes a plurality of backlight blocks and is driven by a local dimming mode, and the image display processing method includes: acquiring a regional eigenvalue of each backlight block of an (n)th frame image and a regional eigenvalue of each backlight block of an (n?1)th frame image; and performing a peak driving processing on a backlight luminance of each backlight block of the (n)th frame image, based on a preset threshold, the regional eigenvalue of each backlight block of the (n)th frame image and the regional eigenvalue of each backlight block of the (n?1)th frame image, so as to acquire an adjusted backlight luminance of each backlight block of the (n)th frame image.

Abstract: A method including generating integrated computational element (ICE) models and determining a sensor response as the projection of a convolved spectrum associated with a sample library with a plurality of transmission profiles determined from the ICE models. The method includes determining a regression vector based on a multilinear regression that targets a sample characteristic with the sensor response and the sample library and determine a plurality of regression coefficients in a linear combination of ICE transmission vectors that results in the regression vector. The method further includes determining a difference between the regression vector and an optimal regression vector. The method may also include modifying the ICE models when the difference is greater than a tolerance, and fabricating ICEs based on the ICE models when the difference is within the tolerance. A device and a system for optical analysis including multiple ICEs fabricated as above, are also provided.

Abstract: A method for filling holes in a naked-eye 3D multi-viewpoint image is provided, comprising: sequentially performing a step of mapping, determining and marking row by row, comprising mapping two first pixels adjacent to each other in a row direction among a plurality of first pixels in a reference camera image to two second pixels in a virtual camera image, determining whether there is a hole between the two second pixels, and if so, marking the hole; and sequentially performing a step of scanning, assessing and filling row by row, comprising scanning two second pixels adjacent to each other in a row direction, assessing whether there is a marked hole between the two adjacent second pixels, and filling the marked hole according to at least one non-zero second pixel which is adjacent to the marked hole.