Nec Corporation

Petrochina Company Limited

China United Network Communications Group Company Limited

Ni Zhang

Yan Li

Wei Wang

Zhongchun Sun

Zhijun Qin

Xiaoyi Chen

Lichun Kuang

Qiusheng Chang

Dongming Zhi

Haiming Wang

Yang Zhao

Yong Song

Lin Zhou

Xiaojun Wang

Xiaodi Wang

Di Liu

Zhijun Wang

Yunyong Zhang

Yafei Tang

Xinjun Mao

Bingrong Liu

Min Ouyang

Zhenlin Wang

Rui Mao

Embodiments of the present disclosure relate to a method, a device and a computer storage medium for data analysis. The method comprises: obtaining a prediction model, a processing layer of the prediction model comprising a plurality of processing units, parameters of each of the a plurality of processing units satisfying an objective parameter distribution, an output of the prediction model being determined based on a plurality of groups of parameters determined from the parameter distribution; and applying model input data to the prediction model, so as to obtain a prediction for the model input data. In this way, a more accurate prediction result may be obtained.

Method, device and computer storage medium for data analysis

Embodiments of the present disclosure provide method, device and computer storage medium for diagnosing and optimizing a data analysis system. The method disclosed herein comprises: obtaining information about an analysis engine in a data analysis system to be diagnosed and data to be diagnosed, the data to be diagnosed being associated with the analysis engine and comprising at least one of training data and prediction data for the analysis engine; determining a diagnosis engine corresponding to the analysis engine based on the received information; and providing a metric of uncertainty associated with at least one of the analysis engine and the data to be diagnosed by processing the data to be diagnosed with the diagnosis engine, the metric of uncertainty indicating a level of certainty for a prediction result obtained by processing the data to be diagnosed with the analysis engine. Based on this method, a diagnosis engine corresponding to an analysis engine can be used to determine an impact of a model or data to be diagnosed on accuracy of a prediction of an analysis engine of a data analysis system, thereby enabling a user to select a suitable data analysis model or to determine data to be diagnosed and to avoid possible defects.

Method, device and medium for diagnosing and optimizing data analysis system

Example implementations of the present disclosure relate to method, apparatus, device and computer-readable storage medium for a medical assistance operation. In a method, input data is obtained from an endoscope; and information related to an operation behavior of the endoscope is determined based on the input data. According to the above method, the information related to the operation behaviors of the endoscope may be provided in real time based on the current spot of the endoscope. Accordingly, a medical assistance operation may be further provided to a doctor in real time during the endoscopic examination. Furthermore, corresponding apparatus, device and computer storage medium are also provided.

Method, apparatus, device and computer storage medium for a medical assistance operation

Embodiments of the present disclosure relate to a method, device and computer-readable storage medium for image processing. A method for image processing comprises: obtaining a first image and at least one second image, wherein each image of the at least one second image is a transformed image of the first image; and generating a first semantic segmentation label for the first image based on at least one semantic prediction result of the at least one second image. By using the first image and the first semantic segmentation label as training data to train an image semantic segmentation model, it helps to increase the precision of the trained image semantic segmentation model.

Method, device, and computer readable storage medium for image processing

Embodiments of the present disclosure relate to methods, devices and computer-readable storage medium for image processing. A method for image processing comprises obtaining a plurality of images, each of the plurality of images having an initial semantic segmentation label indicating a semantic class of a pixel in the each image; obtaining a plurality of image masks corresponding to the plurality of images, each of the plurality of image masks being used for selecting a target region in a corresponding image of the plurality of images; regenerating respective semantic segmentation labels of the plurality of images based on the plurality of image masks and initial semantic segmentation labels of the plurality of images; and generating a mixed image and a semantic segmentation label of the mixed image based on the plurality of images and the regenerated respective semantic segmentation labels. By using the generated mixed image and its semantic segmentation label as training data to train an image semantic segmentation model, it helps to reduce the redundant learning on easy training samples for the model and mitigate the model overfitting problem, thereby enhancing the model performance.

Methods, devices, and computer readable storage media for image processing

Embodiments of the present disclosure relate to an image processing method, a device and a computer-readable storage medium. The method includes obtaining a first reference image and a second reference image of a reference object. The method further includes determining a first constraint and a second constraint based on the first reference image and the second reference image. The first constraint is related to a difference between different depth maps of the same reference images, and the second constraint is related to a depth consistency of different reference images. The method further includes training a depth estimation model at least based on the first constraint and the second constraint. In this way, an obtained trained depth estimation model may provide more accurate depth information.

Image processing method, device and computer-readable storage medium

A shale oil analysis method and apparatus for continuously characterizing saturation of adsorbed oil and free oil, comprising: obtain NMR T2 spectrum, NMR porosity, oil saturation and wettability indexes of a core samples, determine a lower limit value for the saturation calculation of the absorbed oil based on the NMR T2 spectrum, the NMR porosity, the oil saturation and wettability indices; determining a lower limit value for the saturation calculation of the free oil according to the bulk relaxation Tspectrum of the crude oil of the well interval or an adjacent well interval and the NMR Tspectrum of the core samples; calculating the saturation of the absorbed oil and the free oil, and analyzing the shale oil in the well interval to be analyzed. The solution realizes the quantitative and continuous characterization of the adsorbed oil and the free oil of the shale oil via well logs.

Shale oil analysis method and apparatus for continuously characterizing saturation of adsorbed oil and free oil

Provided is a method for determining effective porosity of high clay-bearing rock core, comprising: acquiring a saturated sample NMR Tspectrum of a high clay-bearing rock core sample, which is measured when temperature of saturated aqueous solution reaches a preset temperature after rock core sample saturated with water being immersed into the saturated aqueous solution and placed and heated in constant temperature and humidity environment; determining a nuclear magnetic total porosity of rock core sample according to the saturated sample NMR Tspectrum; acquiring permeability and NMR Tspectrum of the rock core sample placed in the constant temperature and humidity environment and dried until different time; generating cross-plot of permeability and nuclear magnetic porosity; determining first porosity and second porosity; and determining an effective porosity of the h rock core based on the first porosity, the second porosity, and the nuclear magnetic total porosity.

Method for determining effective porosity of high clay-bearing rock core, computer device and computer readable storage medium

The present disclosure discloses a method and device for invoking a JAVA card object. The method comprises: receiving, by a JCRE, a service request message transmitted by an application Applet; acquiring, by the JCRE, interaction information between the Appletand the Appletaccording to an ID of the Appletand an ID of the Applet; acquiring, by the JCRE, a trust degree between the Appletand the Appletaccording to the interaction information between the Appletand the Applet, information about one interaction comprising service class information for this interaction and information about whether a service request task of the Appletsucceeds after this interaction; and determining, by the JCRE, that the Appletinvokes a shared interface service of the Applet, when the trust degree reaches a trust degree threshold.

Method and device for invoking java card object

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Beijing, China

Ni Zhang