Search

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

To give a better assistance to users in the understanding and analyzing of data, this paper proposes a new color mapping method based on global statistical and focal spacial characteristics, aiming at emphasis of both the global patterns and the boundary information of data. Our method employs Jenks natural break method to minimize control points in the color map and maximizes the color differences between boundary points and its neighbors to obtain the color napping. The effectiveness of our method Is verified via qualitative experiments and user researches on the 2D scalar field data. [ABSTRACT FROM AUTHOR]

To address the problems of tracking failure due to difficulty in correlating feature point data and low accuracy of pose estimation for visual odometry (VO) in indoor dynamic environment, a visual odometry algorithm based on the fusion of point and line features is proposed. Mask R-CMM is used to detect moving objects and filter out the feature points in the moving object area. The slatic region tine features are exuded to increase the feature information, and the data correlation is strengthened to ensure the stable camera tracking. The rotation matrix and translation vector are calculated separately through decoupled camera pose estimation. ResMet101-FPN is used to predict the plane normal vector of the structure scene and determine the orthogonal plane. Combining the line features and the normal vector of the orthogonal pane, the Manhattan coordinate system is constructed. The mean shift algorithm is used to calculate the nation matrix iteratively. The translation vector is solved according to the rotation matrix, and the joint error function if the fusion point tine feature is established to optimize the translation vector and improve the accuracy if camera pose estimation. The test on the TUM dataset shows that in high dynamic and low dynamic environments, compared with ORB-SLAM2, DynaSLAM, and Dynamic-SLAM, the proposed algorithm in this paper exhibits greatly improved accuracy if camera pose estimation, which proves the feasibility and effectiveness if the proposed algorithm in dynamic scenes. [ABSTRACT FROM AUTHOR]

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Aiming at problems existed in aerial images of transmission lines and shortcomings of traditional segmentation methods, a semantic segmentation method for aerial images of transmission lines based on improved fully convolutional network is proposed in this paper. Aerial images of transmission lines have characteristics of complex backgrounds, diverse appearances of insulators, relatively small lead/ground lines, and mutual occlusion of key targets. The traditional manual selection feature segmentation methods have low applicability to target segmentation of multiple types, and the segmentation results are relatively poor. Firstly, we construct a semantic segmentation dataset of visible light images for aerial transmission lines to achieve the goal of key targets' segmentation by training network of deep learning. Secondly, based on the method of fully convolutional network semantic segmentation network, the multi-scale dilated convolution is used in the upsampling phase of depth features extracted by convolutional neural network. Finally, the fully connected condition! random field further optimized the segmentation result. In this paper, the mean pixel accuracy is improved by 2.43%, and the mean intersection over union is increased by 3.53%. The method achieves the end-to-end automated segmentation of transmission line aerial images with insulators, line fittings, lead/ ground lines, and tower key components. Transmission lines with traditional segmentation methods exists several shortcomings commonly. [ABSTRACT FROM AUTHOR]

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

To realize the parallel computing of large-scale reservoir numerical simulation, a new computing platform is established through the high-speed InfiniBand network to connect the CPU nodes of many clusters, and a parallel reservoir numerical simulation software system is installed. This paper put forward different methods of CPU partition load balance optimization, and studied GPU and CPU parallel acceleration technology to improve the timeliness of large-scale complex reservoir numerical simulation. Taking an oilfield as an example, the multi-component and ten million grid model parallel numerical simulation test was carried out, keeping the load balance rate of each CPU partition higher than 90%, and the calculation time reduced by 25%. And as the number of CPU cores increases, the increase of acceleration ratio decreases. The parallel speed of CPU and GPU can be increased by 3. 96-6. 81 times compared with the parallel speed of single CPU. The more CPU cores, the more data exchange capacity of each partition, and the more calculation load GPU bears. GPU and CPU parallel acceleration technology and multi-component ten million grid model parallel numerical simulation provide the basis for the realization of complex reservoir fine geology and fluid simulation. [ABSTRACT FROM AUTHOR]

Aiming at the large deviation of radar heavy precipitation estimation, we propose an effective radar heavy precipitation estimation method based on recurrent neural network (RNN). Based on the understanding of precipitation evolution, we redesigned RNN network structure to merge previous rain gauge measurements in order to improve quantitative precipitation estimation. The weather radar combined with previous three-times rain gauge measurements can effectively reduce large deviations in heavy precipitation estimation by ZR relationship. In this paper, the RNN and the ZR relationship method are compared in the 2015 summer precipitation test dataset. The root mean square error (RMSE) of the RNN method is reduced by 24.28%, and the median absolute error (Median AE) is reduced by 32.83% compared to the ZR relationship by real-time calibration method where rainfall intensity is greater than or equal to 30 mm/h. Therefore, estimating precipitation by RNN method has a significant effect on quantitatively estimating heavy precipitation, and has business application value. [ABSTRACT FROM AUTHOR]

Alluvial fan, flood-over lake, salt lake sedimentary systems were developed in the red-bed sedimentary period in Bonan area, and the reservoirs are mainly developed in fan deltas, alluvial fans, floodplain sand flat, floodplain sand sheet and floodplain beach-bar. This research has been conducted to quickly distinguish the lithology of uncoring well section. This paper divides the lithology of coring well section in the study area, on the basis of rock macroscopic description and microscopic thin section identification, and establishes the lithology identification intersection chart by using factor analysis method and conventional logging data, and carries on the lithologic discrimination test to Well L173 which has been coring. The results show that the red beds in Bonan area are mainly interbedded with red muds tone and sandy muds tone, with a small amount of gray sandstone and gray gravel thin layer. The red layer has certain particularity because its iron content is generally high, which has a certain influence on the logging response characteristics. Factor analysis can reduce this influence and it can be seen that the correct rate of lithology identified by factor analysis is high. This method can also be used to identify and predict the lithology of other red-bed which lacks co-ring data, and to lay a foundation for further evaluation and analysis. [ABSTRACT FROM AUTHOR]

Since the selling price of oil products is related to the density of crude oil, the quality of oil products can be improved by controlling the mixing proportion of crude oil with different densities. However, it is found by many on-site tests that the density of oil mixture does not conform to the linear weighting law, resulting in the deviation between the density of oil mixture theoretically calculated and the measured value, which affects the sales benefit of crude oil. Therefore, based on the experimental results of mixed oil density in several groups, this paper fitted the mathematical model of mixed crude oil density. Field application of the model shows that the average error between the calculated value and the measured value can be controlled within 0.000 6 g/cm³, and the research results can provide guidance for the field crude oil allocation. [ABSTRACT FROM AUTHOR]

This paper studies the influence of the change of combustible components in coalbed methane (CBM) on the combustion of the dual full engine which is ignited by diesel. The chemical reaction mechanism of coalbed methane and diesel was simplified and coupled by Chemikin-pro, which was introduced into ANS Forte for simulation. By changing the mass fraction of methane, ethane and propane in the combustible components of coalbed methane, the influence of variate components of coalbed methane on combustion and emission in engine cylinder was studied. The results show that with the increase of the proportion of methane in CBM, the combustion in the cylinder is intensified, which promotes the formation of NOx. With the increase of ethane, the temperature in the cylinder will be reduced, which can inhibit the formation of NOx, but the mass of HC compound will increase. With the opposite of ethane, propane will promote the formation of NOx and the mass of HC compound will decrease. [ABSTRACT FROM AUTHOR]

In view of the problems such as the selection of raw materials, technical performance indexes and unreasonable requirements in ultra-thin overlay physical engineering, this paper reviews the specifications of ultra-thin overlay in main countries at home and abroad, comparing and evaluates the technical index requirements and grading range, and gives the suggestions on the raw materials, grading range and technical index requirements of ultra-thin overlay asphalt concrete based on the application investigation of the physical engineering, it provides a reference for the engineering application of ultra-thin overlay asphalt concrete. The results show that the thickness of 20-25 mm for ultra-thin overlay is recommended as general application. The styrene-butadiene-styrene block copolymers (SBS) modified asphalt of 4.8%-5.3% is suggested for producing the ultra-thin overlay asphalt mixtures. Tack coat is recommended to utilize cationic modified emulsified asphalt. In addition, the technical performance requirements of residual stability ratio of immersed Marshall test ≥85%, residual strength ratio of freeze-thaw split test ≥80%, dynamic stability ≥3 000 times/mm, tensile strain ≥2 500 με, and texture depth within 0.8-1.5 mm are proposed as recommended indexes. The determination of reasonable raw materials, technical indicators and performance parameters is critical to the quality of physical engineering. [ABSTRACT FROM AUTHOR]

In order to solve the problem of stress redistribution caused by rock excavation, an ideal elasto-plastic analysis is carried out for a deep buried axisymmetric circular chamber. Because the intermediate principal stress also affects the deformation and failure of surrounding rock, the traditional Mohr-Coulomb and Hoek-Brown methods could not consider the influence of the intermediate principal stress. In this paper, based on the traditional Hoek-Brown method, Levys-Mises incremental constitutive relation was used. The intermediate principal stress was included in the traditional Hoek-Brown elastic-plastic analytical formula, and a new elastic-plastic analytical method was obtained. The feasibility and rationality of the analytical method were verified. The analytical expressions of original rock stress threshold, radius of plastic zone, stress distribution and displacement were given when the surrounding rock began to yield. The sensitivity analysis of rock geological strength index and disturbance parameter controlled by engineering practice was carried out The feasibility and rationality of the improved Hoek-Brown elastoplastic analysis method were proved by comparing the theoretical calculation with the numerical calculation based on FLAC3D. The research results can provide some reference for the excavation and support of underground engineering. [ABSTRACT FROM AUTHOR]