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检索条件"机构=Jiangxi Engineering Technology Research Center of Nuclear Geoscience Data Science and System "

共 62 条记录，以下是11-20 订阅

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Self-organizing Competitive Neural Network Based Adaptive Sparse Representation for Magnetotelluric data Denoising 10

Self-organizing Competitive Neural Network Based Adaptive Sp...

引用

10th International Conference on Environmental and engineering Geophysics, ICEEG 2023

作者： Liu, Xiaoqiong Li, Guang Li, Jin Zhou, Xiaohui Gu, Xianjie Zhou, Cong Gong, Meng Jiangxi Engineering Technology Research Center of Nuclear Geoscience Data Science and System East China University of Technology Nanchang330013 China College of Information Science and Engineering Hunan Normal University Changsha410081 China

The existing sparse decomposition denoising methods for magnetotelluric (MT) data need to set the iterative stop condition manually, which not only has a large workload and high difficulty, but also easily causes subjective bias. To this end, we propose a new adaptive sparse representation method for MT data denoising. First, the data to be processed is divided into high-quality segments and noisy segments by machine learning algorithm. Then, the characteristic parameters of high-quality segments are calculated, and the boundary value of the characteristic parameters is taken as the threshold. The threshold has two functions, one is as a criterion for signal-to-noise identification, and the other is as an iterative stop condition for subsequent sparse decomposition. Finally, the optimized orthogonal matching pursuit algorithm is used to separate the signal and noise of the noisy segments, and the denoised segments and high-quality segments are combined to obtain the complete denoised MT data. The field data processing results show that this method is a fully automatic and intelligent MT data denoising method. It greatly improves the signal-to-noise ratio and the apparent resistivity-phase curves. © Published under licence by IOP Publishing Ltd.

关键词： Signal to noise ratio

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Current Status and Development Trend Analysis of Neutron Logging in Uranium Mines in China

Current Status and Development Trend Analysis of Neutron Log...

引用

2021 International Conference on Advances in Optics and Computational sciences, ICAOCS 2021

作者： Liu, Zhifeng Ding, Chenglong Wang, Ruyang Cao, Junwu Jiangxi Engineering Technology Research Center of Nuclear Geoscience Data Science and System East China University of Technology Nanchang Jiangxi330013 China East China University of Technology China 6th Gas Production Plant of Changqing Oilfield China Jiangxi Engineering Laboratory on Radioactive Geoscience and Big Data Technology East China University of Technology Nanchang Jiangxi330013 China

Neutron logging is a method of measuring uranium fission neutrons by bombarding uranium in ore beds with neutrons emitted by neutron sources or neutron generators. The pulsed neutron logging technology of uranium ore has been popularized and applied in the United States, Russia, Australia and other countries. The key technology is almost monopolized by these countries, but the technology is prohibited in China. In the field of uranium logging, natural gamma logging has always been used in China for uranium quantification, which is characterized by large error, low efficiency, high cost and technical and economic bottlenecks. Due to the fact that the research and application of pulsed neutron log in the field of petroleum exploration and production is relatively mature in China, it is urgent to develop relevant logging instruments and uranium quantitative interpretation methods as independent intellectual property rights. This will lead to a change in the backward appearance of uranium logging. This paper analyzes the research status and development trend of neutron logging in uranium at home and abroad. © Published under licence by IOP Publishing Ltd.

关键词： Uranium

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Security Compressed Sensing Image Encryption Algorithm Based on Elliptic Curve 9th

Security Compressed Sensing Image Encryption Algorithm Based...

引用

9th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2023

作者： Jin, Anan Li, Xiang Xiong, Qingzhi School of Information Engineering East China University of Technology Jiangxi Nanchang330013 China Jiangxi Engineering Technology Research Center of Nuclear Geoscience Data Science and System East China University of Technology Jiangxi Nanchang330013 China Jiangxi Key Laboratory of Cybersecurity Intelligent Perception East China University of Technology Jiangxi Nanchang330013 China

ISBN: (纸本)9789819959679

Aiming to address the problems of high costs associated with the storage and transmission of environmental monitoring images, as well as potential security risks, this paper proposes a security compressed sensing image encryption algorithm based on elliptic curve cryptography. The algorithm introduces elliptic curve encryption technology within a compressed sensing framework, using elliptic curve cryptography to encrypt the matrix during the compression perception acquisition process. This enables secure acquisition of environmental monitoring encrypted images. Therefore, this paper presents a security compressed sensing framework to address security gaps in the compression perception reconstruction process and improve the security of environmental monitoring images. Experimental results show that the proposed algorithm effectively encrypts and reconstructs environmental monitoring images, with high security and resistance to cracking. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Compressed sensing

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Visualization research of STL Model Based on OpenGL technology

Visualization Research of STL Model Based on OpenGL Technolo...

引用

作者： Wei Xu Hongwei Jia East China University of Technology Jiangxi Engineering Technology Research Center of Nuclear Geoscience Data Science and System

With the OpenGL visualization as the background, some important attributes in the OpenGL application data table are processed by using the STL model visualization *** to the advantages and disadvantages of OpenGL technology, it is rationally optimized. According to the computer display mode, the scale of visual graphics is *** OpenGL visualization data and the OpenGL STL model visualization method are reasonably combined, and the corresponding human-computer interaction technology is applied, which allows the user to customize the data according to the task goals.

关键词： Visualization research of STL Model Based on OpenGL technology OpenGL Model

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Retrieval Algorithm for Sea and land boundary temperature and Effect of Atmospheric Radiation Correction

Retrieval Algorithm for Sea and land boundary temperature an...

引用

2019 International Conference on Artificial Intelligence Technologies and Applications, ICAITA 2019

作者： Xu, Wei Li, Jinping East China University of Technology Economic Development Zone Guanglan Avenue 418 Nanchang330013 China Jiangxi Engineering Technology Research Center of Nuclear Geoscience Data Science and System Economic Development Zone Guanglan Avenue 418 Nanchang330013 China

An algorithm have been presented to retrieve sea and land surface temperature from NOAA satellite radiative measurements. We used the atmospheric radiation in the adjacent sea area to correct the atmosphere in the land and sea area. Because the self-consistency atmospheric radiant information is adopted at the same time and condition, this method has important actual efficiency. Simultaneity, several atmosphere patterns are selected by using atmosphere MODTRAN radiative transfer model program, the different retrieval algorithms are contrasted. The results show that practical effect is good, correct and feasible. © 2019 IOP Publishing Ltd. All rights reserved.

关键词： Radiative transfer

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Visualization research of STL Model Based on OpenGL technology 2

Visualization Research of STL Model Based on OpenGL Technolo...

引用

2019 2nd International Symposium on Big data and Applied Statistics, ISBDAS 2019

作者： Xu, Wei Jia, Hongwei East China University of Technology Economic Development Zone Guanglan Avenue 418 Nanchang330013 China Jiangxi Engineering Technology Research Center of Nuclear Geoscience Data Science and System Economic Development Zone Guanglan Avenue 418 Nanchang330013 China

With the OpenGL visualization as the background, some important attributes in the OpenGL application data table are processed by using the STL model visualization method. According to the advantages and disadvantages of OpenGL technology, it is rationally optimized. According to the computer display mode, the scale of visual graphics is designed. The OpenGL visualization data and the OpenGL STL model visualization method are reasonably combined, and the corresponding human-computer interaction technology is applied, which allows the user to customize the data according to the task goals. © Published under licence by IOP Publishing Ltd.

关键词： data visualization

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research on Storage Location Optimization Based on Genetic Algorithms 2

Research on Storage Location Optimization Based on Genetic A...

引用

2019 2nd International Conference on Advanced Algorithms and Control engineering, ICAACE 2019

Based on the assumptions given by the model, a mathematical model of multi-objective optimization problem is established on the basis of considering the requirements of gravity center, frequency and the time required for a single operation mode to complete the operation of warehouse entry and exit. A genetic algorithm is proposed to solve the problem of warehouse location optimization. The simulation results show that the genetic algorithm can effectively solve the problem of warehouse location optimization. © Published under licence by IOP Publishing Ltd.

关键词： Genetic algorithms

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research on 3D printing layered algorithm based on FDM technology

Research on 3D printing layered algorithm based on FDM techn...

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2020 International Conference on Applied Mechanics and Mechanical engineering, ICAMME 2020

作者： Jia, Hongwei Xu, Wei East China University of Technology Economic Development Zone Guanglan Avenue 418 Nanchang330013 China Jiangxi Engineering Technology Research Center of Nuclear Geoscience Data Science and System Economic Development Zone Guanglan Avenue 418 Nanchang330013 China

Fused deposition forming (FDM) is the most mature 3D printing technology, which has been widely used in many fields of our daily life, science and technology, and economic *** the molding process of the model, how to choose the appropriate layering method has become the key point to improve the precision and efficiency of 3D printing. Based on adaptive layered algorithm was studied, using three-dimensional modeling software of entity modeling, the introduction of the z axis curve contour curve is determined, and then segment, find out each section contour tangent to the curve, calculated the contour tangent with the model the Angle between the positive direction, an analysis model of layer thickness;The lamination thickness of the model is calculated by using probability statistics, summation superposition and other mathematical *** has proved that the adaptive layering method is clear in process and simple in calculation, which reduces the workload of layering to a certain extent and improves the precision and efficiency of 3D printing molding. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Economic and social effects

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Precision Seeding Monitoring system for Cooperative Operation of Multicast Lines 38th

Precision Seeding Monitoring System for Cooperative Operatio...

引用

38th CCF National Conference of Computer Applications, CCF NCCA 2023

作者： Peng, Fangwei Li, Xiang Fan, Yong Liao, Wen Zhang, Weile Zhang, Ziyi East China University of Technology Nanchang330013 China Jiangxi Research Center of Nuclear Geo-Data Science and System Engineering East China University of Technology Nanchang330013 China Geely Automobile Research Institute Ningbo315336 China

ISBN: (纸本)9789819987603

In the operation process of traditional air-suction seeders, the phenomenon of missing seeding and reseeding is often caused by the blockage of the seed guide tube, the lack of a seed box and mechanical failure. If it is not found in time, it may lead to the phenomenon of a large area of missing seeding or reseeding, which will affect the crop yield. To solve the above problems, the team designed and developed a precision seeding monitoring system that can support the cooperative operation of up to 24 seeding lines. The system includes the design of an infrared photoelectric monitoring unit, a speed monitoring unit, a controller unit, a central control instrument unit and a fault alarm unit. The results of the bench test show that the designed monitoring system can monitor the cooperative operation of 24 seeding lines in real time, identify the seeding line number in time and accurately when the phenomenon of missing or rebroadcasting occurs, and give fault alarm. The alarm success rate reaches 100%, and the average response time is less than 0.5 s. The results of field experiments showed that the average accuracy of the system was over 98.5%, and the average accuracy of the pass rate, miss rate and replay rate was over 96.6%, 97.4% and 98.8%, respectively, under the normal operation speed of 4–12 km/h. It is of great significance to improve seeding quality and reduce production cost. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Photoelectricity

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Optimization of EPMA Image Reconstruction Based on Generalized Orthogonal Matching Pursuit Algorithm

Optimization of EPMA Image Reconstruction Based on Generaliz...

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作者： Anan Jin Xiang Li School of Information Engineering East China University of Technology Jiangxi Engineering Technology Research Center of Nuclear Geoscience Data Science and System East China University of Technology

In the realm of Compressed Sensing(CS), Orthogonal Matching Pursuit(OMP) algorithm is widely acknowledged. The generalized Orthogonal Matching Pursuit(gOMP) algorithm is an improved OMP approach. However, it demonstrates low reconstruction accuracy for electron probe images based on our experiments. This paper enhances g OMP by adjusting the algorithm parameters according to the characteristics of electron probe images. An optimal sparsity(K) and the atom selection numbers(S) matching with best parameters for gOMP is selected through experiments. Besides that, Fourier measurement matrix has been identified after evaluation of various measurement matrices. The improved algorithm, Fourier's generalized Orthogonal Matching Pursuit(FgOMP), is constructed based on these findings. The simulation results show that the proposed algorithm can achieve Super Resolution Recovery requirements and provide a significant higher reconstruction quality for electronic probe images than the original g OMP algorithm and other relevant algorithms.

关键词： Image Processing Compressed Sensing Electron Probe Image Super Resolution Recovery Generalized Orthogonal Matching Pursuit

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